Viveka Mantra2023.5.23---AI的十種不同應用
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該視頻討論了人工智能 (AI) 的十種不同應用及其對各個領域的潛在影響。
其中包括
使用自動駕駛汽車徹底改變交通、
人工智能輔助醫療診斷、
自然語言處理的進步、
智能機器人的使用、
人工智能生成的媒體（如深度造假）、
個性化教育、
人工智能驅動的智能家居、
增強虛擬和增強現實體驗、
人工智能輔助財務分析
人工智能在應對氣候變化方面的潛力。
Q:自動駕駛汽車如何改善交通？
Chat YouTube:
自動駕駛汽車，也稱為自動駕駛汽車，有可能通過多種方式改善交通。 它們可以減少事故和交通擁堵，同時提高效率。 有了自動駕駛汽車，司機不必專注於駕駛，這讓他們可以在上下班途中完成其他任務。 這將有助於提高生產率並減輕駕駛壓力。 此外，自動駕駛汽車可以通過相互通信和交通管理系統來優化路線並減少交通流量。
Q:智能機器人可以應用在哪些領域？
Chat YouTube:
配備人工智能的智能機器人可應用於製造、醫療、物流、農業、娛樂等各個領域。 在製造業中，機器人可用於執行複雜的任務，例如組裝產品、噴漆和質量控制。 這有助於提高生產率、降低成本並提高產品質量。 在醫療保健領域，機器人可用於診斷疾病、執行手術以及為患者提供陪伴等任務。 這有助於改善醫療保健結果、減少錯誤並讓醫護人員騰出時間專注於更重要的任務。 同樣，在物流領域，機器人可以協助包裹分揀、貨物跟踪和倉庫操作。 這有助於降低人工成本和交貨時間，同時提高訂單準確性。 在農業方面，機器人可用於種植、收割和農作物檢查，提高產量並減少農藥的使用。 最後，在娛樂領域，機器人可用於創造互動體驗並執行電影和節目中的表演和音樂製作等任務。
Q:人工智能如何為應對氣候變化做出貢獻？
Chat YouTube:
人工智能可以通過多種方式為應對氣候變化做出貢獻。 首先，人工智能算法可以優化建築、交通等領域的能源使用，減少溫室氣體排放，提高能源效率。 其次，人工智能可以通過使用傳感器、衛星數據和計算機模擬來預測和減輕自然災害和資源枯竭等環境風險。 第三，人工智能可以改進天氣預報模型，預測極端天氣事件並幫助規劃適應措施。 第四，人工智能可以通過優化效率來幫助開發和部署可再生能源，例如風能和太陽能。 最後，人工智能可以幫助追踪和減少森林砍伐並促進重新造林，從而實現碳封存和生物多樣性保護。 總體而言，人工智能有可能在減少氣候變化的影響和支持可持續發展方面發揮重要作用。
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one
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autonomous vehicles self-driving cars
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and other autonomous vehicles have the
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potential to revolutionize
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Transportation by reducing accidents and
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congestion while increasing efficiency
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2. medical Diagnostics AI assisted
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medical Diagnostics can improve accuracy
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and efficiency helping doctors identify
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diseases analyze medical images and
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develop personalized treatment plans
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3.
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natural language processing advancements
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in natural language processing enable
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more accurate and human-like
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interactions with AI systems leading to
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improvements in Virtual assistants chat
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Bots and language translation
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4.
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robotics intelligent robots equipped
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with AI can perform complex tasks in
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Industries such as manufacturing
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Healthcare and Logistics transforming
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the way we work in enhancing
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productivity
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5.
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deep fakes and image manipulation AI
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generated media including deep fakes and
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image manipulation have both positive
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and negative implications affecting
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areas like entertainment cyber security
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and misinformation detection
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6.
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person
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alized education AI can facilitate
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personalized learning experiences by
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adapting educational content and
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techniques to individual students needs
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enhancing engagement and knowledge
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retention
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7.
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Smart Homes ai-powered smart home
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systems can automate various tasks
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including temperature control security
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and energy management providing
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convenience comfort and Energy
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Efficiency
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8.
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virtual reality and augmented reality AI
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can enhance virtual and augmented
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reality experiences by improving object
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recognition tracking and interaction
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opening up new possibilities in gaming
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training and communication
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9.
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financial analysis AI algorithms can
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analyze vast amounts of financial data
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quickly assisting in investment
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decisions risk assessment fraud
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detection and portfolio management
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10.
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climate change Solutions AI can
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contribute to addressing climate change
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by optimizing energy usage predicting
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and mitigating environmental risks and
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improving weather forecasting models
AI Revolution2023.5.18---谷歌Gemini
Chat YouTube:
谷歌正在開發一種名為 Gemini 的新型 AI，這是一種通用的多模式智能網絡，可以處理多種類型的數據和任務，包括文本、圖像、音頻、視頻、3D 模型和圖形。
Gemini 使用了一種新的架構，它融合了多模式編碼器和解碼器，並且可以根據編碼輸入和手頭的任務以不同的模式生成輸出。與其他大型語言模型相比，Gemini 更具適應性、效率更高，並且可以從任何領域和數據集中學習，而不受預定義類別或標籤的限制。
Gemini 還可以擴展到更大的數據集和模型，而不會影響其性能或質量。人們在衡量大型語言模型時最常見的事情之一就是它的參數數量，谷歌表示 Gemini 有四種尺寸：壁虎、水獺、野牛和獨角獸。
Q:Gemini 相對於其他大型語言模型的優勢是什麼？
Chat YouTube:
與 GPT-4 等其他大型語言模型相比，Gemini 具有多項優勢。
首先，它的適應性更強，可以處理任何類型的數據和任務，而無需專門的模型或微調。
其次，它比其他需要單獨處理多種模態的模型更高效，使用更少的計算資源和內存。
第三，Gemini 可以從任何領域和數據集中學習，而不受預定義類別或標籤的限制。
最後，Gemini 可以擴展到更大的數據集和模型，而不會影響其性能或質量。
Q:Gemini 如何處理多種類型的數據和任務？
Chat YouTube:
Gemini 通過使用通用的多模態智能網絡來處理多種類型的數據和任務。 它合併了一個多模式編碼器和解碼器，允許它根據編碼輸入和手頭的任務生成不同模式的輸出。 Gemini 使用基於 transformer 的架構，這是一個可以處理多個輸入並同時生成多個輸出的神經網絡。 它可以處理各種類型的數據，例如文本、圖像、音頻、視頻、3D 模型和圖形，並且可以通過結合多種模態的技能來執行不同的任務，例如摘要、翻譯和生成。 這意味著 Gemini 可以理解和分析來自不同來源的信息，並生成與上下文和用戶偏好相關的有意義的輸出。
Q:Gemini 能否生成不受現有數據或模板約束的新穎多樣的輸出？
Chat YouTube:
是的，Gemini 可以生成不受現有數據或模板約束的新穎多樣的輸出。 由於 Gemini 不局限於預定義的類別或標籤，它可以從任何領域和數據集中學習，並可以生成創造性的原始輸出。 Gemini 有能力通過組合不同的模式並應用其對輸入的理解來生成新的相關輸出來創建獨特的內容。 例如，Gemini 可以通過分析電影的不同方面（例如情節、角色互動和隱藏信息）來生成全新的、不同於任何現有數據或模板的電影劇本。 這使得 Gemini 比其他語言模型更具交互性和創造性，並且可以在內容生成、創意寫作等領域帶來令人興奮的可能性。
Q:Gemini跟AGI差別
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AGI代表通用人工智能，是一個較為廣泛的概念，指的是一種人工智能系統，能夠像人類一樣理解、學習和解決多種任務，而不需要事先設計特定的任務或領域。
Gemini是Google正在開發的一種AI技術，利用新的架構結合多模態編碼器和解碼器，可以處理多種類型的數據和任務，包括文本、圖像、音頻、視頻、3D 模型和圖表等。
但是，Gemini目前還沒有達到通用人工智能的境界，它仍然需要針對不同的任務和領域進行訓練和優化。
因此，Gemini與AGI還是存在一定的差異。
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so today I've got something that's just
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gonna blow your mind Google is gearing
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up to completely revolutionize the
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industry with this new AI they've been
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working on and it goes by the name of
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Gemini it's seriously Next Level stuff
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rivaling chat GPT and mighty gpt4 in
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terms of understanding and generating
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natural language trust me you're not
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going to want to miss out on this one so
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make sure you stick around till the end
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of the video now what's Gemini all about
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well this is Google's latest project in
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the world of large language models the
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full form is generalized multimodal
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intelligence Network and it's basically
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this Mega powerful AI system that can
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handle multiple types of data and tasks
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all at once we're talking text images
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audio video even 3D models and graphs
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and the tasks like question answering
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summarization translation captioning
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sentiment analysis and so on but here's
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the deal Gemini isn't just one single
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model it's an entire network work of
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models all working together to deliver
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the best results possible alright now
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how Gemini works so basically Gemini
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uses a brand new architecture that
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merges two main components a multimodal
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encoder and a multimodal decoder the
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encoder's job is to convert different
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types of data into a common language
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that the decoder can understand then the
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decoder takes over generating outputs in
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different modalities based on the
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encoded inputs and the task at hand say
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for instance the input is an image and
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the task is to generate a caption the
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encoder would turn the image into a
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vector that captures all its features
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and meaning and the decoder would then
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generate a text output that describes
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the image now what sets Gemini apart and
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makes it special is that Gemini has
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several advantages when compared to
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other large language models like gpt4
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first off it is just more adaptable it
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can handle any type of data and task
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without needing specialized models or
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any sort of fine tuning plus it can
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learn from any domain and data set
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without being Boxed In by predefined
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categories or labels so compared to
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other models that are trained on
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specific domains or tasks Gemini can
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tackle new and unseen scenarios much
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more efficiently then there's the fact
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that Gemini is just more efficient in
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general it uses fewer computational
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resources and memory than other models
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that need to deal with multiple
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modalities separately also it uses a
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distributed training strategy which
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means it can make the most out of
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multiple devices and servers to speed up
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the learning process and honestly the
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best part is that Gemini can scale up to
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larger data sets and models without
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compromising its performance or quality
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which is pretty impressive if you ask me
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if we talk about size and complexity one
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of the most common things people look at
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to measure a large language model is its
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parameter count right so basically
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parameters are numerical variables that
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serve as the Learned knowledge of the
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model enabling it to make predictions
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and generate text based on the input it
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receives generally speaking more
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parameters means more potential for
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learning and generating diverse and
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accurate outputs but having more
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parameters also means you need more
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computational resources and memory to
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train and use the model now gpt4 has one
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trillion parameters which is about six
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times bigger than GPT 3.5 with its 175
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billion parameters that makes gpt4 one
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of the biggest language models ever made
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for Gemini Google has said that it comes
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in four sizes gecko otter bison and
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unicorn they haven't given us the exact
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parameter count for each size but based
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on some hints we can guess that unicorn
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is the largest and probably similar to
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gpt4 in terms of parameters maybe a bit
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less oh and by the way I gotta mention
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this before I show you few examples of
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what it can do I must say that Gemini is
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more interactive and creative than other
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llms it can churn out outputs in
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different modality is based on what the
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user prefers and it can even generate
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novel and diverse outputs that aren't
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Bound by existing data or templates for
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example Gemini could whip up original
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images or videos based on text
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descriptions or sketches it could also
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create stories or poems based on images
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or audio clips now let's talk about how
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does it not exactly outsmart but perform
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tasks that are more varied and longer
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than gpt4 alright let me give you a few
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examples one thing Gemini can do is
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multi-modal question answering this is
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when you ask a question that involves
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multiple types of data like text and
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images for instance you might ask who is
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the author of this book while showing an
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image of a book cover or perhaps what is
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the name of this animal while showing an
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image of some creature Gemini can answer
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these questions by combining its skills
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in understanding both text and visuals
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another cool thing it can do is
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multi-modal summarization imagine you've
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got a piece of information that's made
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up of different types of data like text
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and audio for example you might want to
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summarize a podcast episode or a news
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article by generating a short text
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summary or an audio summary Gemini can
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do all that by putting together its
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skills in textual and auditory
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comprehension a third thing is
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multimodal translation this is when you
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need to translate a piece of information
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that involves multiple types of data
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like text and video suppose you have a
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video lecture or a movie trailer that
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you need to generate subtitles for or in
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another language Gemini can pull that
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off by combining its skills in textual
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and visual translation and then there's
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multimodal generation this is when you
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want to generate a piece of information
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that involves multiple types of data
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like text and images for example you
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might want to generate an image based on
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a text description or a sketch or maybe
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you want to generate a text based on an
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image or a video clip again Gemini can
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do this by combining its skills in
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textual and visual generation but to me
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honestly the most impressive thing that
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Gemini can perform is multimodal
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reasoning which basically means it can
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combine information from different data
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types and tasks to make assumptions for
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example let's say you show it a clip
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from a movie and using the multimodal
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reasoning Gemini can now answer complex
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questions like what is the main theme of
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this movie by synthesizing information
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from multiple modalities so it allows
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Gemini to notice patterns that happen
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again and again under understand how
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characters interact with each other and
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find hidden messages or meanings in a
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movie by doing all of this Gemini can
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give you a complete understanding of
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what the movie is really about and what
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its main idea or message is and honestly
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I'm seriously Blown Away by that so
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these are just a couple of things Gemini
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can do there's a ton more potential here
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that I just can't cover in this video
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but I hope you're starting to see just
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how incredibly powerful and versatile
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this technology really is so where does
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this leave us in terms of the future of
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AI well it's pretty obvious to me that
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Google is likely going to give gpt4 and
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maybe even gpt5 a real challenge in the
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coming years with this multimodal
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approach this also means we're likely to
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see more applications and services that
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use Gemini's capabilities to provide
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better user experiences and solutions
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for instance we could see more
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personalized assistance that can
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understand and respond to us in
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different modalities or maybe more
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creative to tools that can help us
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generate new content or ideas in
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different modalities alright guys those
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are my thoughts on Google's Gemini and
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just to be clear I'm not some crazy fan
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of Google or anything I'm just sharing
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my opinions based on the research
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reading and observations I've made I
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hope this video has been informative and
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you've picked up something new today if
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you did I'd appreciate it if you could
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give it a thumbs up and remember to
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subscribe to my channel thanks for
8:09
watching and catch you in the next video
The Best Whatever2023.5.12---10 種可怕的科技趨勢
該視頻討論了每個人都必須知道的 10 大最可怕的未來技術趨勢。技術的進步為創新和進步提供了巨大的潛力，但它們也帶來了需要適當監管的道德和社會影響。十大趨勢包括：自主武器、監視和跟踪、無人駕駛汽車、大數據、虛擬現實、增強現實、生物技術、腦機接口、基因編輯和量子計算。
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10 scariest future Tech Trends everyone
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must know right now the rapid pace of
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technological advancement has led to a
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world of infinite possibilities
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from artificial intelligence to
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biotechnology the future seems to hold
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endless potential for Innovation and
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progress however with these advancements
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come ethical and societal implications
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that cannot be ignored
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autonomous weapons surveillance
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technology and brain computer interfaces
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are just a few examples of potential
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technologies that could have disastrous
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consequences if not properly regulated
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here we will explain the 10 scariest
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future Tech Trends everyone must know
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right now so let's start with number 10
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autonomous weapons autonomous weapons
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have ignited a debate about the
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implications of using artificial
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intelligence or military operations by
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removing the human factor from Warfare
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technology has given us an unprecedented
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level of precision and accuracy perhaps
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even necessary in principle to reduce
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casualties and limit collateral damage
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however opponents point out that if this
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technology were to fall in the wrong
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hands it could spell disaster
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the ongoing conversation will no doubt
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continue to evolve as Humanity continues
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to coexist with increasingly
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sophisticated autonomous systems in the
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meantime there will certainly be some
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interesting developments in this complex
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field as more countries and
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organizations explore the full potential
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of AI driven weapons
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number nine surveillance and tracking in
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recent years we have seen a massive
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shift towards the usage of surveillance
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and tracking technologies that have
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enabled governments corporations and
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other groups to keep an eye on people's
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movements activities and Communications
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like never before
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governments have used big data analytics
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to identify potential threats and
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predict military operations while
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companies gather information to tailor
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their services better but as convenient
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as these practices may be they also
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raise lots of questions about privacy
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and security are we really comfortable
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with being monitored constantly will our
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private activities remain confidential
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or will they be subject to abuse
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everyone must decide for themselves
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where they draw the line between
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convenience and risk
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number eight driverless cars driverless
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cars are a key part of the modern
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landscape and are revolutionizing
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Transportation powered by artificial
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intelligence these vehicles can safely
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maneuver through complex traffic
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situations without a human driver
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companies such as waymo aim to make
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driverless travel common in our daily
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lives providing a service that is
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simultaneously more efficient and
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convenient than ever before
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the capacity for driverless cars to
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reduce pollution ensure safety on the
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road and even provide flush amenities
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such as onboard entertainment options
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make them an attractive alternative to
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traditional means of transportation with
2:47
the continued development of this
2:49
technology and its widespread adoption
2:51
it is safe to say that driverless cars
2:54
will become an essential part of our
2:55
daily lives in the near future
2:58
number seven Big Data between devices
3:01
that monitor our daily activities and
3:03
apps that track who interacts with us
3:05
it's no secret that the amount of data
3:07
being collected on us is staggering this
3:10
phenomenon known as Big Data is enabling
3:12
businesses researchers and governments
3:14
to build an entirely new understanding
3:16
of human behavior it's almost like a
3:19
tool for creating a socio-cultural
3:21
portrait of humanity
3:23
the implications of Big Data are
3:25
far-reaching it can help business Target
3:27
customers more accurately Healthcare
3:29
Providers personalize treatments more
3:31
effectively and scientists conduct
3:33
research on an unprecedented level
3:36
excitingly this technology has the
3:38
potential to revolutionize the way we
3:40
perceive and interact with the world
3:41
around us
3:43
number six virtual reality virtual
3:46
reality allows us to immerse ourselves
3:48
in a completely new world playing up
3:50
scenarios that we may never face in our
3:52
daily lives whether it's simulating an
3:54
ancient Battlefield exploring the depths
3:56
of outer space or simply enjoying a
3:58
tropical beach holiday without leaving
4:00
home virtual reality can do it all
4:04
perhaps most excitingly experimenting
4:06
with virtual reality gives us the chance
4:08
to experience what life is like when the
4:10
impossible isn't
4:12
nothing but imagination is limiting us
4:14
from creating and exploring whichever
4:16
landscape suits our fancy
4:18
with its incredible ability to transport
4:20
us elsewhere virtual reality technology
4:23
has generated a real Buzz in the tech
4:25
world and we can't wait to find out what
4:27
comes next
4:29
number five augmented reality
4:32
augmented reality versus AR is
4:34
revolutionizing the way we live work and
4:36
play by quickly becoming an integral
4:38
part of our everyday lives AR combines
4:41
virtual reality technology with the
4:43
physical world to create an immersive
4:45
experience like no other
4:47
from shopping apps that allow you to
4:49
virtually try on clothes before you buy
4:51
them to help your apps that give doctors
4:54
a full view of their patients medical
4:56
history the possibilities are endless
4:58
not only does it make complex tasks
5:00
easier and faster but it can also be an
5:03
educational tool giving us a new view of
5:05
our world or increasing access to
5:07
cultural experiences like never before
5:09
AR is thrilling and empowering opening
5:12
up a world of Limitless potential for
5:14
exploration Discovery and innovation
5:17
number four biotechnology
5:20
even with the numerous possibilities of
5:22
biotechnology there is also immense
5:24
responsibility for its use
5:26
biotechnology has the potential to
5:28
revolutionize medicine and other
5:29
scientific Fields it can even be used to
5:32
prolong life
5:33
but it could also lead to unethical
5:35
decisions such as genetic engineering
5:37
and creating designer babies which could
5:39
have disastrous consequences
5:41
additionally with the immense power of
5:44
modern biotech comes a heightened risk
5:46
of creating new diseases without meaning
5:48
to
5:49
scientists must be aware of this highly
5:51
sensitive nature when advancing
5:53
biotechnology and take extreme care in
5:55
using any discoveries for the betterment
5:58
of the society rather than abuse number
6:00
three cyber warfare with the advancement
6:03
of Technology individuals and Nations
6:05
alike have become increasingly
6:07
vulnerable to cyber attacks cyber
6:09
warfare is a sophisticated and dangerous
6:11
form of attack that has long lasting
6:13
implications for the targeted individual
6:15
or Nation
6:17
the ability to access networks remotely
6:19
and infiltrate in others systems has
6:21
made this form of warfare and alarming
6:23
reality in the modern world those
6:25
engaging in such activities can easily
6:28
and silently carry out malicious hacking
6:30
operations without ever leaving their
6:32
desk
6:33
cyber warfare one of the most intricate
6:35
weapons available today
6:37
No One Is Safe from these threats which
6:40
is why we must take every opportunity to
6:42
fortify our defenses and protect
6:44
ourselves against somber criminals only
6:47
if we remain alert informed and Vigilant
6:49
can we hope to ward off these attacks
6:51
and keep our networks secure
6:54
number two nanotechnology the
6:57
possibilities of nanotechnology are near
6:59
Limitless with developments that could
7:02
create indestructible materials alter
7:04
existing materials to improve their
7:05
properties and Beyond but as we continue
7:08
to investigate the use and practical
7:10
applications of nanotechnology it is
7:12
important to remember the potential for
7:14
these Innovations to wreck havoc on the
7:16
environment or cause health issues
7:19
consequently steps must be taken to
7:21
regulate nanomaterials and better assess
7:24
their effects doing so will help ensure
7:26
that nanotechnology can contribute
7:28
positively to our lives rather than
7:30
having a negative impact
7:32
number one Quantum Computing Quantum
7:35
Computing has the potential to
7:36
revolutionize the world of computing in
7:38
ways that we can only begin to imagine
7:40
with virtually Limitless processing
7:42
power it could open up new possibilities
7:45
in research artificial intelligence and
7:47
other technology
7:48
however this newly emerging technology
7:51
has a dark side as well current
7:53
encryption methods may not be able to
7:54
keep up with the potential of quantum
7:56
computers if security measures like RSA
7:59
encryption they can obsolete personal
8:01
data may not be secure anymore and there
8:04
could be serious implications for
8:05
countless Industries around the world
8:07
the development of quantum Computing is
8:09
both an exciting opportunity and a
8:11
terrifying challenge all at once and
8:13
scientists are racing to build systems
8:15
that bridge these two sides of this
8:17
revolutionary technology
8:19
as we can see the use of artificial
8:21
intelligence poses both exciting and
8:23
concerning implications that cannot be
8:25
taken lightly it is clear that AI will
8:28
continue to shape our future and it is
8:30
our responsibility to ensure that its
8:32
users are beneficial to society we must
8:34
Embrace its promise while vigilantly
8:36
examining its costs and risks such as
8:38
those pertaining to autonomous weapons
8:40
surveillance and fracking driverless
8:42
cars fake data virtual reality and
8:45
augmented reality with ethical
8:47
considerations in mind and a
8:49
well-thought-out implementation strategy
8:50
in place AI will certainly be an
8:52
integral technology to propel us into
8:55
the future
8:56
if you enjoyed this video don't forget
8:58
to hit the like And subscribe buttons
9:00
and the notification Bell icon to get
9:02
notified with new videos are uploaded
9:03
from this Channel please share your
9:05
thoughts about the video in the comment
9:07
section below thank you
Never released inventions2023.5.11---智能鏡子
Chat YouTube:
智能鏡子是一項使用人工智能分析皮膚並提供個性化健康和美容建議的新發明。它可以檢測皮膚問題的早期跡象，並根據皮膚類型和喜好推薦化妝品和個人護理產品。
鏡子還使用增強現實技術來展示不同化妝品和顏色的外觀，並可以推薦最佳的應用技術。
此外，它還可以跟踪皮膚隨時間的變化並建議改變護膚程序。
智能鏡子有可能徹底改變健康和美容行業，並使獲得理想的外觀更容易、更高效。
Q:智能鏡子如何應用在美容行業
Chat YouTube:
智能鏡子可以使用人工智能和增強現實技術，分析顧客的肌膚狀況並提供個性化的健康和美容建議。
它可以檢測肌膚問題的早期跡象，根據肌膚類型和喜好推薦化妝品和個人護膚產品。
智能鏡子還可以展示不同化妝品產品和顏色的效果，並建議最佳的應用技巧。
此外，它可以跟踪肌膚進展並建議護膚常規的變化。
智能鏡子將有可能使美容行業革命性地改變人們達到理想外貌的方式，使其更加容易和高效
Q:智能鏡子如何應用在醫療健康行業
Chat YouTube:
智能鏡子可以應用於醫療保健行業，因為它能夠使用人工智能和增強現實技術來檢測和監測人們的健康狀況。
它可以分析肌膚的狀況，檢測早期的皮膚問題，
例如痤瘡，皺紋和皮膚癌。
此外，智能鏡子還可以檢測疾病的早期症狀，
包括上呼吸道感染，發燒，和其他病態生理狀況等。
應用智能鏡子技術的醫療保健設施可以從病人進入診所的第一分鐘開始，就能夠提供更迅速、可靠和全面的健康評估，有助於早期發現和預防疾病。
Q:智能鏡子還可應用在那些行業
Chat YouTube:
智能鏡子還可以應用於其他行業，
例如美容、時尚、眼鏡、珠寶、健身等行業。
在美容行業中，
智能鏡子可用於分析肌膚狀況並提供個性化的美容建議、推薦產品，幫助客戶更好地了解自己的皮膚，並選擇最適合自己的產品。
在時尚和眼鏡行業中，
智能鏡子可以使用增強現實技術來顯示不同款式、顏色和大小的服裝、眼鏡，讓顧客更好地試穿和挑選最適合自己的產品。
在珠寶行業中，
智能鏡子可以使用增強現實技術顯示虛擬的珠寶樣式，讓客戶更好地評估其外觀和適合度。
在健身行業中，
智能鏡子可以用於跟踪運動者的姿勢、運動量和進度，並提供指導和建議，以幫助客戶達到最佳的健康和體能狀態。
0:00
have you ever wished that your mirror
0:01
could tell you more about your health
0:02
and well-being than just how you look on
0:04
the outside introducing the smart mirror
0:07
a groundbreaking invention that uses
0:09
artificial intelligence to analyze your
0:11
skin check your health and offer
0:12
personalized advice that the smart
0:15
mirror doesn't stop there it also
0:17
doubles as a makeup assistant using AI
0:19
to recommend the best makeup products
0:21
for your skin type and offer
0:22
personalized Beauty advice so what if
0:25
you had a personal health or beauty
0:26
consultant right in your own home
0:28
that's where the smart mirror comes in
0:30
at the heart of the smart mirror is
0:32
Advanced AI technology capable of
0:35
analyzing your skin and detecting any
0:37
potential health issues using
0:39
specialized sensors and advanced
0:40
algorithms the smart mirror can detect
0:42
early signs of skin problems such as
0:44
acne wrinkles and even skin cancer the
0:48
mirror uses augmented reality technology
0:50
to Overlay virtual makeup looks on your
0:52
face allowing you to see how different
0:54
products and colors will look before you
0:55
buy them and because the mirror is
0:58
connected to a vast database of makeup
1:00
and personal care products it can offer
1:02
personalized recommendations based on
1:04
your preferences and skin type that
1:06
makes the mirror useful for both men and
1:08
women but the smart mirror doesn't just
1:10
stop there it can also show you how to
1:13
apply the products for the best results
1:15
using augmented reality the mirror can
1:18
overlay a virtual makeup look onto your
1:20
face showing you how the products will
1:21
look before you even apply them this is
1:24
a game changer for those who struggle
1:25
with finding the right Shades and
1:27
techniques for their makeup application
1:29
the smart mirror is not only useful for
1:31
makeup application but also skin care it
1:34
can track your Skin's progress over time
1:36
and recommend changes to your routine as
1:38
needed for example if the mirror detects
1:41
that your skin is becoming dry it may
1:43
suggest a more hydrating Moisturizer in
1:46
conclusion the smart mirror is an
1:48
incredible invention that has the
1:49
potential to revolutionize the health
1:51
and beauty industry it takes the
1:53
guesswork out of finding the right
1:54
products and techniques making it easier
1:56
and more efficient to achieve your
1:58
desired look while the smart mirror is
2:00
not yet widely available we can't wait
2:02
to see how this technology develops and
2:04
changes the way we approach Beauty do
2:07
you also see the added value of a smart
2:09
mirror that uses AI let us know in the
2:11
comments and hit the like button if you
2:14
like this video thanks for watching
NBC News2023.5.10---人工智能將腦部掃描轉化為文本
Chat YouTube:
該視頻討論了使用人工智能將腦部掃描轉化為文本，從而有效地讀取某人的想法。研究人員創建了人腦的 3D 視圖，並使用 AI 將活動區域翻譯成英語，生成看起來像是內心對話的內容。該技術可能會幫助中風患者在患有阻塞綜合症或其他無法正常說話的情況下進行交流。然而，人們擔心精神隱私和思想自由。
Q:人工智能技術如何將腦部掃描圖轉化為文本？
Chat YouTube:
AI 技術通過創建人腦的 3D 視圖並使用 AI 將活動區域翻譯成英語，從而將腦部掃描轉化為文本。 人工智能能夠處理大腦活動並生成看起來像是內心對話的東西。
Q:這項技術有什麼潛在好處，對誰有好處？
Chat YouTube:
該技術有可能幫助中風患者在患有阻塞綜合症或其他無法正常說話的情況下進行交流。 它還可以幫助那些患有 ALS 或其他疾病的人能夠用他們的思想與外界交流。 此外，該技術可能在日常應用中用於跟踪大腦健康和日常注意力。
Q:將這項技術用於精神隱私和思想自由有哪些擔憂？
Chat YouTube:
將這項技術用於精神隱私和思想自由的一個擔憂是，如果使用便攜式設備可以進行日常讀心術，它可能會危及精神隱私。 另一個擔憂是，該技術可能會被未經授權的個人或組織濫用，用於惡意目的，例如在未經他人同意的情況下提取他們的思想。 圍繞該技術的使用還存在倫理方面的考慮，例如誰可以訪問該信息以及如何使用這些信息。
Q:AI將腦部掃描轉化為文本.如何應用於腦機設備
Chat YouTube:
AI將腦部掃描轉化為文本的技術，可以應用於腦機設備中，幫助那些因為失去語言能力或其他神經系統疾病而無法正常交流的人
。通過安裝腦機設備，他們可以使用腦部活動來控制電腦或其他外部裝置，並通過AI轉換為文本來進行交流。
例如，他們可以通過腦機設備傳遞特定的訊息或控制外部裝置，從而獲得更多的自主權和自主性。
此外，AI還可以通過分析腦部活動，幫助醫生更好地診斷和治療患者，改善他們的生活質量。不過，使用這種技術還需要更多的研究和探索，以確保其安全性和隱私性。
0:00
all right get ready because tonight's
0:02
future of everything is mind-bending or
0:05
actually mind reading because it's
0:08
looking a lot more like AI is capable of
0:10
reading our thoughts and we're not just
0:11
talking about it predicting what kind of
0:13
tick tock we want to see next or what
0:15
kind of products we might buy this next
0:17
breakthrough is a lot deeper all the way
0:20
down to the very tissue of our brains
0:22
where researchers have used AI to
0:25
translate brain scans into text now for
0:28
the study scientists at UT Austin
0:30
created a 3D view of a person's brain
0:32
while they listened watched or imagined
0:34
a story and see we've got it for you
0:36
right there that pink stuff all that
0:38
pink stuff means above average brain
0:40
activity and the blue spots have below
0:42
average brain activity and to us we see
0:45
that we're like okay that part's
0:46
activated that part's not but
0:49
researchers say the AI was able to read
0:51
the brain waves and translate all of
0:53
that that you're seeing right there into
0:55
English and turn it into what looks like
0:57
inner dialogue
1:02
this is a real Leap Forward compared to
1:04
what's been done before which is
1:06
typically on like single words or short
1:08
sentences where you can get something
1:10
about the gist of a sentence or
1:11
something about you know what a word is
1:14
related to uh but we're getting whole
1:16
strings of text pretty complicated ideas
1:21
okay so what does that actually look
1:23
like check this out here are the
1:25
volunteers and the volunteers were asked
1:27
to watch a movie clip without audio and
1:30
this is what the AI described you're
1:32
seeing it right there actual stimulus
1:34
and they described I see a girl that
1:36
looks just like me get hit on her back
1:38
and then she is knocked off end quote
1:41
the I saw it the brain processed it and
1:44
the AI top typed out what they were
1:46
thinking I just like I'm still trying to
1:49
figure out how that would even work with
1:51
us now is need a farahani she is a
1:54
futurist an ethicist a law professor at
1:56
Duke University the author of battle for
1:59
your brain defending the right to think
2:01
freely in the age of neurotechnology uh
2:04
welcome doctor so researchers are saying
2:07
that they hope that this could one day
2:09
help victims of of like a stroke but how
2:12
do you see this type of Technology being
2:14
used
2:15
I think it has tremendous promise and
2:17
that it actually offers potentially
2:19
people who have blocked in syndrome
2:21
suffering from ALS or other conditions
2:23
to be able to have their thoughts
2:26
interpreted into speech so they could
2:28
communicate with the outside world it
2:30
also has a potential for everyday people
2:33
to use it and when that starts to happen
2:36
I start to worry about what it looks
2:37
like for mental privacy and for freedom
2:39
of thought of individuals
2:41
now just to be clear like in this case
2:43
people are sticking electrodes I mean
2:46
there's a lot of monitors
2:48
one of the things yeah
2:50
yeah one of the things that's
2:51
extraordinary about this is there are no
2:52
electrodes this is a big machine it's a
2:55
functional magnetic resonance imaging
2:57
machine that means that people went into
2:59
this machine uh non and basically
3:01
without any electrodes inside of the
3:03
brain that they were able to pick up
3:05
blood flow changes in their brain and
3:07
one of the things that's incredibly
3:08
remarkable about this study is not only
3:10
the Precision of what they picked up but
3:12
then they decided to test and see if the
3:14
model that they created which was using
3:17
gpt1 generative AI we're all talking
3:19
about chat gbt these days
3:22
um they wanted to see if they could use
3:23
that same classifier on a portable
3:25
system not a big bulky device like fmri
3:28
so they tried it out on something called
3:30
f nears functional near infrared
3:33
spectroscopy which is a wearable device
3:35
something that people could use in their
3:37
everyday lives to track their brain
3:39
health to track their
3:40
um you know everyday focus and mind
3:42
wandering they found that they could get
3:45
the same level of precision using that
3:48
kind of portable device with the
3:49
classifier that they had developed in
3:51
other words everyday mind reading may be
3:53
possible using devices that we may come
3:56
to use in our everyday lives
3:58
uh is non-invasive and GPT one so this
4:03
was done before gpt4 we don't know
4:07
what's on the horizon uh I mean your
4:09
book talks about mental privacy uh what
4:11
are your concerns when it comes to Ai
4:14
and other neurotechnologies that that
4:16
could infringe on that
4:18
so the coming feature that I see is the
4:21
use of everyday brain wearables people
4:23
are used to wearing for example sensors
4:25
that track their heart rate or track
4:27
their sleep activity in the form of a
4:29
watch or a ring now companies like meta
4:33
and snap are starting to buy and develop
4:35
their own neurotechnology to put sensors
4:37
that track brain activity into everyday
4:39
devices like earbuds or headphones that
4:42
people could use to take a conference
4:44
call but also track their brain activity
4:46
which can be promising for things like
4:48
tracking brain health or tracking focus
4:50
and attention but it also means that the
4:52
very same corporations who modifying all
4:55
of our personal data are suddenly going
4:57
to have access to what's happening in
4:59
our own brains and then I fear that our
5:02
right to mental privacy our right to
5:04
freedom of thought could substantially
5:05
be interfered with we've already seen
5:07
that kind of interference with things
5:09
like Cambridge analytica when you can
5:11
start to have much more precise access
5:13
to what people are thinking and feeling
5:15
and then change what they're seeing in
5:17
their social media or the kinds of
5:19
algorithms that are feeding different
5:21
information to them and the platforms
5:24
that they interact with I worry that
5:26
there's a future that we're just not
5:27
ready for
5:29
yeah Anita I feel like we should be
5:31
talking to you every single day I hope
5:33
you come back uh thank you so much for
5:35
this conversation and hopefully it's
5:36
it's one of many more to come thanks so
5:39
much for joining us thanks for having
5:40
that does it for us tonight
5:44
thanks for watching our YouTube channel
5:46
follow today's top stories and breaking
5:48
news by downloading the NBC News app
WION2023.5.9---人工智能可以取代80%的人類工作
Chat YouTube:
該視頻討論了人工智能對工作的潛在影響，專家表示，人工智能可以取代大約 80% 的現有工作。
專家認為，人工智能是一種好處而不是威脅，一旦人們不再需要為謀生而工作，他們將不得不尋找更多有成就感的事情去做。
一個聊天機器人能夠提供一份清單，列出 20 個它可能取代的工作，包括客戶服務、校對員、律師助理、撰稿人、市場研究分析師，甚至記者。
該視頻最後提出了一個問題，即如果所有工作最終都被 AI 接管，人類將做什麼。
Q:AI可能取代那些工作
Chat YouTube:
AI 聊天機器人被問及可能被AI取代的工作列表，
列出了大約20種工作，
包括客服、校對人員、律師助理、文案撰寫人員、市場研究分析師，甚至包括記者在內的一些工作。
然而，這並不是一個詳盡的、窮盡所有可能被取代的工作的清單。 AI 對許多工作的影響及準確性仍是有爭議和不確定的話題。
Q:AI可能衝擊那些行業
Chat YouTube:
AI技術的應用可能會影響許多行業和職業。
以下是一些可能會受到影響的行業：
1. 製造業：AI技術可以應用在智能化機器人和自動化生產線上，可以提高生產效率和品質，並降低成本。r>
2. 零售業：AI技術可以應用在智能化售貨機和智能化庫存管理系統上，可以提高銷售效率和客戶服務質量。
3. 金融業：AI技術可以應用在智能化風險管理和交易分析系統上，可以提高銀行的審批效率和風險管理能力。
4. 醫療保健：AI技術可以應用在醫療圖像分析、疾病預測和治療推薦等方面，可以提高醫療保健的效率和質量。
5. 交通運輸業：AI技術可以應用在自動駕駛汽車和智能交通管理系統上，可以提高交通安全和交通流量效率。
6. 教育業：AI技術可以應用在智能化教育平台和智能化教育評估系統上，可以提高教學效果和學習質量。
雖然AI技術的應用可以提高效率並創造新的商業機會，但也會帶來一些可能的負面影響，例如失業和隱私問題。
因此，應該積極探索和規劃AI技術的應用，同時與相關方面合作解決可能出現的問題。
Q:AI可能創造那些工作
Chat YouTube:
儘管AI可能會影響許多工作，但是AI技術的應用也可能創造出許多新的工作機會。
例如，一些相關的新興領域可能需要更多關於AI的專業人才進行開發和維護。
這些新興領域可能包括
機器人製造、自動駕駛汽車、智能家居、醫療保健和生態環保等領域。此外，AI技術需要數據分析師、算法工程師、AI專家、機器學習工程師、數據科學家等具備專業技能的人才去進行研究和開發，
並且需要人為去監管規範AI的應用。
因此，雖然某些工作可能會被取代，但AI應用還將創造出許多新的工作機會。
but since the beginning of artificial
intelligence the biggest question that's
been dominating the discourse is Will
artificial intelligence make humans
replaceable
and if this happens then what kind of
jobs will be the ones that will go first
now according to an expert on artificial
intelligence AI could replace nearly
about 80 percent of all jobs that we
know that exist
the researcher Ben godzill has said that
AI is not a threat
but a benefit as people will have to
find better things to do with their life
than work for a living that is if you
can afford
and already have a lot of money it's
also added that pretty much every kind
of work is now going to be taken up by
AI negotel was speaking to a news agency
AFP where he detailed the developments
in the field of AI
when the AI chatbot
GPT was asked to give a potential list
of jobs which it could replace it
provided nearly about 20 jobs just off
the back of its hand which included
stuffs at his customer service such as
proofreaders paralegal copywriters
market research analysts and also to a
very large extent most journalists now
in summary AI is proving to be the
latest tool in the race for human
efficiency the human efficiency which
may be productive or destructive much
like the atomic power artificial
intelligence
is likely to be an inflection point in
human history but the question of course
is this if AI takes all the jobs then
what will humans of course do
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Stat Mastery2023.5.8---世界上最先進的10個AI機器
Chat YouTube:
該視頻討論了世界上最先進的 10 個人工智能機器人，展示了 Digit、Cassie、Pepper 和 Handle 等機器人。
公司正在生產具有更好功能的創新機器人，並從每一個錯誤中吸取教訓。儘管公司正在生產可以執行複雜任務的機器人，但距離可以取代人類的多任務機器人還有幾十年的時間。
Q:世界上最先進的AI機器.有哪10個
Chat YouTube:
以下是視頻中提到的世界上最先進的10台人工智能機器：
1. Digit：一種人形機器人，旨在以獨特的方式移動並在復雜環境中執行任務。
2. Spot：由波士頓動力公司打造的機器狗，可以執行開門、端茶、搬運等任務。
3. Cassie：一種能夠用兩條腿行走和奔跑的動態機器人，專為搜救行動而設計。
4. HRP 5P：可以在建築工地搬運大型物體和工具的機器人。
5. Pepper：世界上第一個具有識別人類情感和與人互動能力的社交人形機器人。
6. 手柄：設計用於在倉庫和物流中心移動箱子和其他物體的機器人。
7. Pillo：一種旨在幫助患者管理健康的醫療機器人。
8. Sophia：一個可以表達情感並與人交談的人形機器人。
9. ASIMO：本田發明的一種機器人，可以走、跑、爬樓梯。
10. Nao：為研究和教育目的而設計的類人機器人。
Q:Handle、HRP 5P等機器人未來有望應用於哪些行業？
Chat YouTube:
Handle、HRP 5P等機器人有望應用於倉儲、物流、建築等行業。
Handle 專為在倉庫中運輸重物和碼垛貨物等任務而設計，
而 HRP 5P 則專為建築工地而設計，可用於處理大型物體和工具。
這些機器人憑藉其強大的感知能力能夠完成複雜的任務，這使得它們非常適合用於需要精確和高效的行業。
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technology that can think and act like
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humans called Robotics and artificial
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intelligence is getting better and
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better very quickly new and exciting
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ideas and discoveries are happening all
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the time companies are producing awesome
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robots day by day with better functions
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and learning from every mistake anyway
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we are still decades away from
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multitasking robots that could actually
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replace humans in this video we are
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presenting you the 10 most advanced AI
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robots in the world right now
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number 10 digit
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digit is a humanoid robot made in 2019
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by agility robotics in the United States
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it is designed in such a way that it
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moves in a unique way than normal robots
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do digit was made to carry out tasks in
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complex environments companies say that
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it can be used in future for taking care
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of people in their homes in search and
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rescue operations and more
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number nine spot
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this robot which resembles a dog is
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another creation of Boston Dynamics and
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is capable of carrying out crucial tasks
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including opening office stores serving
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tea spying on employees and looking for
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employment
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it can support loads up to 14 kilograms
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in weight and has two payload ports
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spots robots can be arranged in rows to
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carry out coordinated operations like
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dragging carts and pulling trucks off
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the road
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when it perceives threat it reacts
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dynamical
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number eight Cassie
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Cassie is the lower version of Digit it
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is a dynamic robot that is able to walk
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and run just like humans and animals
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[Music]
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Cassie was named after Australian bird
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cassowary that has similar leg shaped to
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Cassie this Advanced robot can walk in
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diverse and complex environments and
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terrain and due to its advanced
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technology and sensors it is supposed to
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be used in search and rescue operations
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in future
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number seven hrp 5p
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[Music]
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as the name suggests hrp5p is the fifth
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generation robot of hrp series of robots
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it is used for handling large objects
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and tools in construction sites the
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robot is capable of doing complex tasks
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like handling drywall sheets and more
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the robot has strong sensory
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capabilities that help it identify the
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tools required for a task and use its
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hands to carry out the job this robot is
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considered one of the most advanced in
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the world
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number six pepper
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pepper is the world's first social human
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robot with abilities to recognize faces
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basic human emotions and understand
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languages
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it is used for human interaction and
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engage with people through conversation
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and shows its words on the touchscreen
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placed in his chest
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it can hear voice commands from all
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directions and interpret human emotions
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using its HD cameras and 3D camera with
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its unique leg construction pepper can
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move in any direction and change its
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orientation quickly
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number five handle
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Boston Dynamics created the handle robot
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which is designed for warehouses and
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transporting heavy loads it has a
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suction arm to hold items in place and
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deep learning Vision software to detect
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and palletize cargo
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the arm creates a vacuum to grip items
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from the top the handle is efficient in
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loading and unloading tasks and can move
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up to 360 boxes per hour over short
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distances
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it can also rotate 360 degrees without
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losing balance thanks to its swinging
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tail which also helps balance the weight
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number four Aqua North
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Aquanaut is a robot that can work
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underwater without a human it can change
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shape and do many tasks it can be
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launched from the surface of the water
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or from a submarine
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in submarine mode it can travel at a
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speed of 200 kilometers per hour in with
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an operational depth of 300 meters
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aquanort has a motor that helps it move
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underwater it works on an advanced
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technology that is able to inspect gas
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infrastructure and subsea oil
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it can operate valves and use tools for
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Corrections in some parts
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[Music]
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number three stuntronic
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[Music]
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stunttronic robots are made for
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entertainment of people it is an
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animatronic stunt robot that is able to
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perform aerial flips twists and many
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more
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stunttronic is a highly Advanced robot
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made for sports and entertainment that
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can jump really high and do front and
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back flips
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these robots work on an advanced
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technology that contains on-board
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sensors to keep track of Right Movement
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activities for flips twists and other
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activities like landing on right time
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number 2 atas
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According to some companies it is the
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most agile humanoid in existence
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it is the most active humanoid robot
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that can run jump over obstacles and do
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a 360 degree jump in the air
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atas is also known for its strength and
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speed when running and walking
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it stands very stable and can carry
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heavy weight without falling it's great
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for emergency response and rescue
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operations its Advanced AI systems makes
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it capable of sensing obstacles and
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negotiating through diverse terrains
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number one Sophia
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[Music]
5:42
the most advanced human robot in
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existence is Sophia it is a realistic
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example of a perfect humanoid robot
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because it has about 50 different face
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expressions just like humans
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Sophia is primarily designed for
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Education research and entertainment
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Sophia was trained to look after elderly
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people she is also best at managing
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crowds at big events it travels
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throughout the world explaining people
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the importance of robots in human life
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she is the first robot to get
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citizenship in any country
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foreign
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[Music]
Yahoo Finance2023.5.6---人工智能將如何撼動勞動力市場
Chat YouTube:
Airbnb 首席執行官布賴恩切斯基和美國商務部長吉娜雷蒙多討論人工智能對工作的影響。
Chesky 認為人工智能將使科技公司的每個人都更有效率，
而 Raimondo 指出人工智能是一項強大的新技術，需要深思熟慮才能確保人們不會受到傷害。
ZipRecruiter 首席經濟學家 Julia Pollak 加入了討論並預測生成式人工智能將顛覆許多高薪白領工作，但門衛和園丁等低薪工作的風險較低。
Pollak 指出，AI 工具可以提高經驗最少的員工的工作效率，而且新畢業生已經在尋找通過 AI 提高效率和生產力的方法。就對招聘流程的影響而言，波拉克預計人工智能將提高每份申請的質量。
Q:根據 Pollak 的說法，AI 預計會破壞哪些收入最高的白領工作？
Chat YouTube:
根據 Pollak 的說法，生成式人工智能預計會顛覆許多高薪白領工作，例如法律服務、會計師、教師、人力資源人員、後台人員、行政人員等。
Q:根據 Pollak 參考的研究，人工智能如何用於提高經驗最少的工人的生產力？
Chat YouTube:
根據 Pollak 引用的研究，聊天 EPT 式工具等人工智能工具可以提供腳本和示例，以提高最年輕、最新和經驗最少的員工的生產力。 這些工具可以讓工人更快上手，這對於供應受限行業的雇主來說尤其令人鼓舞，因為他們正在努力填補職位空缺，並且可能對僱用經驗或教育程度低於過去的工人感到緊張。
Q:人工智能將影響那些行業
Chat YouTube:
人工智能將影響幾乎所有行業，包括但不限於：
1. 製造業：機器人和自動化將減少工人的需求。
2. 零售業：自動化商店和購物體驗將減少員工數量。
3. 醫療保健：人工智能可以協助醫生進行診斷和分析，減少錯誤和提高精度。
4. 保險業：人工智能可以分析數據，加強對保險方案和賠償的預測和評估。
5. 金融業：屆時自動化和機器學習將廣泛應用於決策和客戶服務。
6. 農業：自動化和機器視覺將幫助農民實現更高的產量和更高的效率。
7. 運輸業：自動駕駛車輛和運輸機器人將導致駕駛和部分物流工作人員數量減少。
8. 教育：人工智能和自適應學習技術將提供更個性化的學習體驗。
總的來說，
人工智能將重塑許多產業的未來。儘管它可以提高效率和準確性，但也會導致某些行業的失業率上升。
Q:人工智能將創造那些行業
Chat YouTube:
人工智能將創造許多新的行業和機會，包括但不限於：
1. 數據分析師和科學家：人工智能需要大量數據進行訓練和優化，這將創造出許多數據科學家和分析師的就業機會。
2. 機器人和自主車輛製造：自動化和機器人技術的需要將導致製造自主車輛和機器人的行業的增長。
3. 虛擬和增強現實：人工智能將提高虛擬和增強現實技術的可行性和實用性，從而創造出許多新的工作領域和機會。
4. 語音識別和自然語言處理：隨著人工智能語音助手和其他語音交互技術的日益普及，將創造出更多的語音識別和自然語言處理工作機會。
5. 人工智能倫理學家和專家：新的道德和社會問題將不斷出現，需要專門的研究人員研究人工智能倫理問題，從而創造出相關的就業機會。
總的來說，
人工智能將激發許多新的創新和機會，以解決未來的挑戰，並創造更多的就業機會。
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the buzz surrounding AI is only getting
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louder but what does it mean for jobs
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Airbnb CEO Brian chesky and U.S Commerce
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Secretary Gina raimondo weighed in on
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this exact topic on Yahoo finance
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earlier this week
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the nearest term impact it's going to
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have is it's going to make everyone in
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tech companies more productive software
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engineering will be more efficient
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because computer programming is a
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language and now suddenly these these
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these tools can in some ways do
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development just as good as a person in
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some cases better than the person there
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is no question that AI will change the
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way we work
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will be a good
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a good will make our jobs easier it'll
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make us more effective it'll make us
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more productive
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but it's also true that it's a brand new
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technology that's very powerful and
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that's why we have to be you know
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thoughtful to make sure people don't get
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hurt
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let's talk a little bit more about this
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with zip recruiter Chief Economist Julia
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Julia it's great to see you
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again so IBM we heard this week planning
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to replace Almost 8 000 jobs over time
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because of AI how do you see AI
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disrupting the workplace
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so traditionally new technologies have
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come online and made the most educated
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highly skilled workers more productive
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and replaced lower skill low-wage
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workers this time around things could be
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very very different with AI generative
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AI actually disrupting many highly paid
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white-collar jobs in legal services
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accountants teachers what have you HR
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staff back office staff administrative
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staff etc etc and it's the kinds of jobs
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that are fairly low-wage jobs that are
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very manual that are not at much risk at
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all it's janitors and gardeners it's
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maintenance technicians who are at very
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low risk of this technology
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you know people hear more productivity
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more efficiency and automatically it
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becomes well here are the job Cuts
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coming because of AI but we've also
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heard the argument no surprise from tech
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companies who say there's a lot of job
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creation on the other end what are some
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of those jobs that you're looking at
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well the first exciting sign to come out
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uh from this technology is a study that
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was just released about the effect on
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productivity of customer support agents
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uh among five thousand customer support
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agents in a Fortune 500 company and what
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actually happened there was that uh AI
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tools chat EPT style tools raised
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productivity for the youngest newest
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least experienced workers the most it
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gave them a script it showed them
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examples and it got them up to speed
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much more quickly and so that is very
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encouraging news for Employers in these
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very Supply constrained
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Industries right now who are struggling
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to fill vacancies and who are very
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nervous about uh reducing their
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standards and hiring workers with less
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experience and less education than they
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used to but this new evidence from mid
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and Stanford suggests that actually
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perhaps there isn't as much of a supply
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constraint in the labor market perhaps
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we can hire younger people and get them
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up to speed very quickly Julia how do
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you see this really impacting those who
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are just graduating from college in
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terms of the trends that you're seeing
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there at ZipRecruiter how many of these
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recent college graduates are thinking
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about Ai and its impact on jobs
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so new graduates tell us that most of
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them used it for their college homework
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at some point even though it's a
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relatively new technology they jump
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right in and adopted it about 70 are
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using it for their job search to
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discover different jobs to write a
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resume uh so they are very upbeat about
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this technology they're not too worried
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about it replacing them and they're
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already finding ways to become more
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effective and more productive
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what does it mean for the hiring process
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I mean we know for years that businesses
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have used AI as a way to sort of weed
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out the initial phase of the hiring
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process maybe trying to find the right
4:04
candidates to interview I'd imagine with
4:06
the latest developments that's only
4:08
going to be accelerated what are you
4:09
looking at in terms of what this is
4:11
likely to do for that process
4:14
well I expect that it's going to raise
4:17
the quality of every application right
4:19
if you can just take a terrible selfie
4:21
on your phone and have it turned into a
4:22
beautiful corporate headshot if you can
4:24
answer a couple of questions and have a
4:27
beautiful resume uh every job Seeker
4:29
every candidate is going to start
4:31
looking amazing and that is going to
4:33
push employers to want to have instant
4:36
connection with a real human to see who
4:39
you really are uh if if the signal is
4:43
lost in your resume employers are going
4:45
to have to look for something else and I
4:46
think they're going to go back to the
4:48
old-fashioned person-to-person contact
4:50
Julia what are you hearing from the
4:51
employer side of this because when it
4:53
comes to the labor shortage and you
4:55
touched on it briefly earlier
4:57
have we made tremendous amount of stride
5:00
there are employers able to find those
5:03
skilled workers that they need and how
5:04
does AI play into that
5:07
absolutely not I have been the consumer
5:11
services Industries where employers are
5:14
adding lots of jobs uh there are still
5:16
very very high churn and uh very very
5:19
high wage growth pressures and there are
5:21
very few candidates and this is going to
5:22
be a long-term issue the working age
5:25
population in the United States is not
5:26
growing anymore the share that our
5:28
college educated is growing and so it
5:31
we're going to run out of non-college
5:33
educated workers prepared to do these
5:35
jobs and AI is probably not going to
5:37
help that much so Employers in those
5:39
areas need to understand that this is
5:41
going to be a tough slog and they need
5:43
to make these jobs more attractive on
5:45
the other end you're seeing companies
5:48
like IBM pausing hiring and replacing HR
5:52
jobs and accounting jobs and legal
5:54
services jobs with AI
5:57
but they're still likely to be very
6:01
little
6:02
shortage of demand for Highly Educated
6:05
workers in the United States uh we you
6:08
know this is a growing economy and and
6:10
this jobs report today I think suggests
6:11
that we aren't really at a ceiling the
6:14
the longer the expansion goes on the
6:16
more and more jobs are created
6:18
zip recruiters Julia Pollock appreciate
6:21
you joining us on this Friday have a
6:22
good weekend
WION2023.5.4---人工智能對就業的影響
Chat YouTube:
討論GPT 等人工智能 (AI) 工具如何威脅要取代從客戶服務代表到作家和社交媒體經理的各種職業。雖然人工智能有可能為公司節省時間和金錢，但它如何處理大量需要人類創造力和直覺的消費者查詢和復雜任務還有待觀察。隨著技術的不斷進步，人工智能對人類工作的影響是一個不斷猜測和爭論的話題。
Q:在工作場所使用 GPT 等人工智能工具有哪些潛在好處？
Chat YouTube:
在工作場所使用 GPT 等人工智能工具的一些潛在好處是：
1. 提高效率和生產力：像 GPT 這樣的人工智能工具可以自動化重複性任務和流程，讓員工更容易專注於需要創造力和批判性思維的更高層次的任務。
2. 節省成本：通過將某些任務自動化，公司可以節省人工成本並減少對員工的需求。
3. 提高準確性：GPT 等人工智能工具可以準確、快速地處理大量數據，降低出錯風險，提高工作質量。
4. 更好的客戶服務：像 GPT 這樣的人工智能工具可以通過更快、更準確地響應客戶查詢和投訴來改善客戶服務。
5. 新的創新機會：通過使用 GPT 等 AI 工具，公司可以發現他們可能無法發現的數據中的洞察力和模式，從而帶來新的創新和增長機會。
Q:在內容審核中使用 AI 會如何影響言論自由和在線審查？
Chat YouTube:
在內容審核中使用人工智能有可能促進和阻礙言論自由，並且它可以通過多種方式影響在線審查。
一方面，人工智能可用於快速檢測和刪除仇恨言論、虛假新聞和其他類型的錯誤信息等有害內容，促進更健康的網絡環境並保護用戶免受傷害
另一方面，人工智能工具可能無法準確區分有害內容和良性內容，可能導致誤報和對合法言論的審查。
此外，在內容審核中使用 AI 還會引發以下問題：誰控制算法以及如何決定允許或禁止哪些內容。 如果內容審核完全留給人工智能，而沒有適當的人為監督和問責制，則可能會導致有偏見或歧視性的結果。
因此，重要的是要在使用 AI 改進內容審核與確保言論自由受到保護並將在線審查保持在最低限度之間取得平衡。
Q:個人和公司可以採取哪些步驟來適應 AI 技術在勞動力中的日益普及？
Chat YouTube:
個人和公司可以採取幾個步驟來適應 AI 技術在勞動力中的日益普及：
1. 提陞技能和重新學習技能：隨著人工智能接管常規和重複性任務，提高創造力、批判性思維、解決問題和溝通等領域的技能至關重要。 個人可以通過在線課程獲得新技能或向雇主尋求培訓。
2. 擁抱終身學習：由於人工智能在不斷發展，因此必須不斷學習並了解最新趨勢和技術。 個人應該採用成長心態，不斷尋找機會提高自己的技能。
3. 與人工智能協作：人工智能可以補充人類技能並支持決策制定。 個人和公司可以利用人工智能來提高生產力、效率和準確性。
4. 培育創新文化：公司應營造鼓勵創新、試驗和冒險的環境。 他們應該為員工提供基礎設施和資源來測試和開發新想法。
5. 解決道德問題：隨著人工智能變得越來越普遍，解決與偏見、隱私和透明度相關的道德問題至關重要。 個人和公司應確保以負責任的方式設計和部署人工智能係統。
6. 為職業轉變做好準備：人工智能將繼續影響就業市場，一些職業將會過時。 個人應確定可以轉移其技能和專業知識的領域，並相應地為職業轉變做好準備。
通過採取這些步驟，個人和公司可以適應 AI 技術在勞動力中越來越多的存在，並在數字時代保持相關性。
Q:AI如何改變職場
Chat YouTube:
人工智能（AI）的出現和應用將對職場產生重大的影響。以下是AI如何改變職場的幾個方面：
1. 自動化工作：AI可以執行重複性高、機械性強的工作，從而減少對人力資源的需求。這可能會導致某些職位的消失，但同時也會創造新的工作機會。
2. 創建新職位：AI的出現和應用需要大量技術專家和工程師來維護和開發，這些專業人員的需求量將會增加。此外，隨著AI的發展，還會出現一些新的職位，例如數據分析師、機器學習工程師等。
3. 提高工作效率：AI可以幫助人類完成一些重複和繁瑣的工作，從而釋放出更多時間和精力專注於高價值的任務。這將大大提高工作效率和生產力。
4. 改變工作方式：AI可以執行某些工作，從而改變人類的工作方式。例如，AI可以幫助人類處理比以往更大量的數據，從而改變了人們的工作方式和工作節奏。
5. 給人類帶來更高級的工作：AI可以執行一些重複性強的工作，但人工智能還無法模仿人類的創造力、創新和情感，並且還無法處理某些需要人類價值觀和道德判斷的工作。因此，AI的出現將使人們把更多的時間和精力用於需要高級技能和人性化能力的工作上。
總的來說，
AI的出現和應用將對職場產生顯著影響。儘管一些職位可能會消失，但同時也會創造新的工作機會和提升工作效率，這將幫助人類更好地應對未來的職場挑戰。
:00
not a world where technology is
0:02
advancing at an unprecedented rate it
0:04
seems no job is safe from automation
0:06
chat GPT is the best example the AI tool
0:10
is threatening to replace a wide range
0:12
of professionals from customer service
0:13
representatives to translators chat
0:16
jpd's Advanced language processing
0:18
abilities and vast knowledge base make
0:21
it formidable contender in the job
0:23
market here are 15 jobs that are likely
0:26
to be replaced by AI
0:30
first on our list is customer service
0:32
Representatives AI can learn from
0:35
previous interactions and improve over
0:37
time but we're not sure how AI would
0:39
handle large amounts of consumer queries
0:42
and say goodbye to Long waiting times
0:44
charge GPD it also has the ability to
0:47
learn quickly once trained it can
0:49
diagnose and troubleshoot technical
0:51
issues instantly helping companies save
0:53
time and money on technical support
0:55
costs charge GPT is also a strong
0:57
candidate for data entry operator jobs
1:00
after all the tool has speed and
1:02
accuracy which means it can easily
1:04
process large volumes of data and
1:07
there's more while chargpt may not be
1:09
able to replicate human creativity it
1:12
could potentially be used to generate
1:13
news articles poems and song lyrics so
1:17
we can assume that in the years to come
1:18
it could turn out to be a decent
1:20
replacement for writers poets lyricists
1:23
creating and writing content is one
1:27
thing moderating if that's another and
1:29
it looks that chart gpt's abilities can
1:32
prove to be a game changer in content
1:34
moderation as well the AI tool can
1:38
detect and filter inappropriate content
1:40
at machine speed it seems charged upd's
1:43
abilities around is the AI power tool it
1:47
can also screen countless resume it can
1:49
conduct initial interviews for companies
1:51
meaning it can save the company's time
1:54
during the hiring process students
1:56
around the globe are already using open
1:57
as program for their assignments while
1:59
human teachers and tutors would be
2:01
needed for complex tasks chat GPT it
2:04
could provide
2:05
and it could prove to be a useful tool
2:07
for understanding common Concepts and
2:10
that's not all there are many other jobs
2:11
that are at risk of being replaced by as
2:13
well such as interpreters translators
2:16
web designers accountants Graphics
2:18
designers caches proofreaders and even
2:21
social media managers
2:23
this list you need to notice speculative
2:25
and it can change depending on how the
2:27
Air Technology advances and most
2:29
importantly how it is adopted while AI
2:32
tools like chart GPT may seem
2:33
threatening to human jobs the impact is
2:36
not as bad as you might think at least
2:38
for now it remains to be seen what the
2:40
future holds
2:45
foreign
2:46
[Music]
科技啟示錄2023.4.30---世界最先進的 AI 機器人
Chat YouTube:
該視頻討論了機器人技術的進步以及它們如何改變世界。
它推出了由 Agility Robotics 設計和製造的機器人 Digit，其站立高度為 1.5 米，重量為 42.2 千克。該機器人在外觀和能力上與人類相似，幾乎可以自動通過激光雷達和其他傳感器進行導航，使其能夠執行提箱子和爬樓梯等任務。
Q:與其他機器人相比，Digit 有何獨特之處？
Chat YouTube:
Digit 與其他機器人相比是獨一無二的，因為它具有類似人類的外觀和功能。 它幾乎與正常人相同，身高 1.5 米，體重 42.2 公斤。 它幾乎可以自動通過激光雷達和其他傳感器進行導航，使其能夠執行諸如提箱子和爬樓梯等任務。 這種級別的機動性和多功能性在其他機器人中並不常見。
Q:像 Digit 這樣的機器人如何改變勞動力？
Chat YouTube:
機器人，包括像 Digit 這樣的機器人，正在以多種方式改變勞動力。 它們越來越多地用於製造和物流等行業，在這些行業中，它們可以執行重複或危險的任務，提高效率並降低成本。 這可能會導致以前從事這些任務的人失業。 同時，機器人的發展也能創造新的就業機會，尤其是與機器人相關的領域，如編程、維護、修理等。 此外，像 Digit 這樣的機器人可以與人類一起工作，從而實現協作工作並有可能提高生產力。
Q:圍繞高度先進的機器人的開發，有哪些潛在的倫理問題？
Chat YouTube:
高度先進的機器人的發展引發了一些倫理問題，包括：
1. 工作取代：隨著機器人變得更加先進並能夠執行傳統上由人類完成的任務，它們可能會導致廣泛的失業和經濟動盪。
2. 安全：高度先進的機器人如果發生故障，可能會帶來安全風險，尤其是當它們與人類一起工作時。
3. 自主性：隨著自主性水平的提高，如果機器人的編程和決策算法設計不合乎道德規範，它們可能會做出對人類有害的決定。
4. 隱私：配備攝像頭和傳感器的機器人如果在未經同意的情況下用於收集敏感數據，可能會引發隱私問題。
5. 公平和社會正義：如果高度先進的機器人變得昂貴並且只有富有的個人或公司才能使用，它們可能會加劇更廣泛的經濟和社會不平等。 此外，人們擔心機器人技術存在偏見，以及它可能如何不公平地影響邊緣化社區。
總之，隨著高度先進的機器人技術不斷發展並融入社會，重要的是要考慮這些倫理問題並為負責任的機器人設計和使用制定框架。
Q:世界上10個最先進的AI機器人.是哪10種.有何特色
Chat YouTube:
根據各種來源和研究，
這裡有一些具有獨特特性的先進機器人的例子：
1. Sophia：由 Hanson Robotics 創建，Sophia 是一個人形機器人，具有表情豐富的面部，能夠識別面部、處理語音並與人類進行對話。 她已獲得沙特阿拉伯公民身份，這使她成為第一個獲得某個國家公民身份的機器人。
2. Atlas：由波士頓動力公司創建，Atlas 是一種人形機器人，可以執行各種類似人類的動作，例如跳躍和後空翻。 它專為搜索和救援任務或人類無法安全前往的危險環境而設計。
3. Pepper：由SoftBank Robotics創建，Pepper是一種社交人形機器人，可以識別人類情緒，回答問題並執行簡單任務。 應用於銀行、機場、商場等各種公共場所。
4. Kuri：由 Mayfield Robotics 創建，Kuri 是一種家用機器人，可以自主移動，檢測面部、聲音和物體，並通過聲音和動作進行交流。 它還可以與智能家居設備集成以執行各種任務。
5. Tally：Tally 由 Simbe Robotics 創建，是一種零售機器人，它使用計算機視覺在商店中執行庫存檢查和補貨。
6. Dactyl：由 OpenAI 創建的 Dactyl 是一種機器人手，可以使用先進的機器學習技術以令人印象深刻的靈巧性和速度操縱物體。
7. Asimo：由本田開發，Asimo 是一種人形機器人，可以行走、跑步和爬樓梯，並使用語音識別和人工智能與人類互動。
8. Baxter：由 Rethink Robotics 創建，Baxter 是一種協作機器人，設計用於製造和裝配線，能夠通過演示學習任務。
9. Nadine：由新加坡南洋理工大學創建，Nadine是一款智能社交機器人，可以識別個體，擁有自己的個性。
10. Aibo：Aibo 由索尼公司開發，是一款可以識別人臉和聲音、檢測環境並對其做出反應，並通過觸摸和聲音與人類互動的伴侶機器人。
這些機器人擁有獨特的特性和能力，展示了人工智能和機器人技術的進步。
0:00
机器人一直是人类的梦想
0:02
从小到大我们听过无数的机器人幻想故事
0:05
也一直认为它只存在在科幻片中
0:07
但其实你不知道的是 未来早已经到来了
0:11
世界上已经出现的机器人全能到超出你的想象
0:14
甚至已经不能用机器来形容它们
0:16
因为它们几乎就是人类
0:19
它们的芯片大脑不是人脑 能力进化只会一路加速
0:22
令人惊叹
0:23
欢迎观看本期视频
0:25
科技启示录 记录科技文明进步的精彩瞬间
0:29
这期视频我们将为大家介绍
0:31
处于人工智能最前沿的机器人
0:33
它们正在改变我们的世界
0:35
如果你不想被它们超越或替代 至少要看下去
0:38
知道它们现在已经有多么厉害
10.Digit
0:41
第十名 Digit
0:43
Digit是一款由agility robotics设计和制造的机器人
0:47
只有1.5米高
0:49
但它却是机器人创新史上的重要一步
0:52
它是曾经一款名为Cassie的
0:54
机器人的新一代产品
0:55
Cassie是一款能走也能跑的小型双足机器人
0:59
然而Digit却更像人类 像到令人恐慌
1:03
Cassie可能只有一双腿
1:04
但Digit却和一个完整的人类几乎一致
1:08
重42.2公斤
1:09
能够在激光雷达和其他传感器的导航下
1:13
几乎半自动的工作
1:14
比如 它可以把箱子搬上楼 或者把快递送到家门口
1:18
这是因为Digit有一双全能手臂
1:21
共有4个自由度 能够灵活运动
1:24
能够保持平衡也能搬运和操控物品
1:27
比如打开门 或是堆放18公斤这么重的箱子
1:31
有两个多核CPU为这台天才机器提供动力
1:34
如同一个强大的大脑
1:36
这才使它能实时处理这么多复杂的动作
1:39
很快 随着技术应用的成熟
1:41
Digit就能成为一个熟练的快递员
1:44
为你的家直接派送包裹了
9.Pepper
1:47
第九名 Pepper
1:48
机器人Pepper的诞生不是为了改变世界
1:51
相反 它非常有同理心
1:53
它只有1米2高 由软银机器人公司倾力打造
1:56
充满了对人类的读心术
1:58
Pepper可以理解15种语言 和人类实时对谈
2:02
并给出合理的回答
2:03
这是因为它配备了两个高清摄像机
2:06
1个3D深度传感器 以及2个声纳和6个激光
2:10
这让它能够灵活在人群中穿梭运作
2:14
Pepper在2014年推出
2:15
第一批生产了1000件 60秒内就售罄了
2:19
然而 尽管销售了27,000台之多
2:22
但软银公司还是暂停了它的生产
2:24
因为需求没有持续跟上
2:26
它并不能像想象中那样 全能的理解人类
2:29
尽管如此 Pepper还是在新冠疫情期间
2:32
在职业棒球比赛中展现了它的强大功能
2:35
它有20个电机马达 分布在它的肩部
2:38
肘部 腕部 手部 臀部和膝盖上
2:41
在比赛中 100个Pepper同步起舞
2:44
在疫情期间给了群众巨大的精神鼓舞
2:47
当然 并非所有人都有所同感
2:49
有的人认为这个场面令人瘆得慌
8.Spot
2:53
第八名 Spot
2:54
很少有比波士顿动力公司
2:56
更令人惊艳的机器人公司了
2:58
在他们2020年一个视频的病毒性传播中
3:02
人形机器人Atlas出尽了风头
3:04
然而 Spot作为一个敏捷的四足机器人
3:07
也同样令人惊叹 所以它能做什么
3:10
它借鉴早期的四足机器人
3:12
比如BigDog和Cheetah
3:14
搭载了5个机载摄像头
3:16
能够360度的环顾四周 观察地形
3:19
它有12个自由度和非常强大的平衡系统
3:22
即使你踢它一脚 它也不会倒
3:24
这只像小狗一样的机器人速度也很快
3:27
可以以每秒1.6米的速度移动
3:30
并承载高达14公斤的重量
3:32
此外 它的电池续航时间为90分钟
3:35
非常适合在自然灾害后去危险场所进行检查
3:39
实际上 Spot甚至已经进入了
3:41
英国皇家空军和士兵们一起接受了测试
3:45
并且在2019年11月
3:47
美国麻省警察宣布使用它作为部队的拆弹警察
3:51
公司同时也在开发能装在Spot背上的设备
3:54
例如Triple
3:56
它可以对周围区域进行高精度扫描
3:59
可以用在建筑测绘领域
7.HRP-5p
4:01
第七名 HRP-5p
4:04
HRP-5p有一个像终结者一样的名字
4:07
但它非常像人类
4:08
很有可能有一天会取代人类进行繁重的脏活累活
4:13
它在日本开发 是为数不多的与人类
4:16
平均身高接近的机器人
4:18
足足有1米8高
4:19
而且它的四肢有着不可思议的活动度
4:22
例如它的手臂有8个自由度
4:24
所有手臂加起来总共有37个自由度
4:28
但令人惊讶的不仅仅是它的身体素质
4:30
它背后的研究所AIST
4:33
也专注于更高级别的人工智能
4:35
这个大家伙可以识别物体 并了解物体周围的环境
4:39
在先前的一次演示中
4:41
可以看到HRP-5p捡起一块石膏板
4:44
并用电动螺丝刀把它固定在墙上
4:48
这样令人惊讶的能力
4:49
未来甚至可能让它成为建筑工人 真正的去盖楼房
4:53
造飞机轮船
6.Surena IV
4:55
第六名 Surena IV
4:57
这个人形机器人以帕提亚·苏雷娜将军命名
5:00
是由伊朗电气和电子工程师协会生产的
5:03
它的第一代是一个小巧 但令人印象深刻的机器人
5:07
能踢足球 能说波斯话
5:09
逐渐进化到目前的第四代 于2019年正式亮相
5:13
第一代只有8个自由度
5:14
而第四代拥有43个自由度
5:18
双手的灵巧度很高
5:19
这意味着 它可以抓住很大的物体
5:21
也可以单独用手拿起很小的物体
5:24
此外 这个新版本不仅更先进也更大
5:28
身高1米7 体重68公斤
5:30
是世界上最大的人形机器人之一
5:32
这个机器人项目的主要目标之一
5:35
就是更先进的人工智能
5:37
事实上它可以识别人脸并数数
5:40
能识别各种动作 理解人说话 甚至自己说话
5:44
随着每一代更新 第四代的Surena
5:46
可能已经成为世界上最先进的机器人
5.Aquanaut
5:49
第五名 Aquanaut
5:51
Aquanaut不同于我们以前见过的任何机器人
5:54
它不是我们所熟知的人形 而是为深海工作建造的
5:58
乍一看就像一艘小巧前卫的潜艇
6:01
但是一旦它变身 就会出现两条手臂
6:04
随时能够在深海中工作 而无需人类的监督
6:07
它的规格也很惊人
6:09
最高速度为每小时11公里 可以快速扫描海底
6:13
它具有91公斤的强大负载能力
6:16
最多可以续航75小时
6:19
然而 它的手臂最为惊人 有超过6个自由度
6:22
并且能360度连续旋转 可以测量一整个区域
6:26
修复石油管道或者管理水产养殖动物
6:30
并且不会伤害到人类
6:32
它完全依靠一个行业内广泛使用的机器人
6:34
操作系统来运行
6:36
不需要和基地有充分连接 它就能自主工作
6:40
正如制造商Nauticus Robotics所说
6:43
Aquanaut 水下机器人的未来
4.Stuntronic機器人
6:46
第四名 Stuntronic机器人
6:49
你能想象一个具有杂技演员般敏捷
6:51
和优雅 能在空中滑行 并完成后空翻的机器人吗
6:55
真的存在
6:56
就是迪士尼创造的Stuntronic机器人
7:00
他绰号steckman
7:01
什么危险疯狂的事都能做 搭载着精密的传感器
7:05
它可以重复和精确的进行空中翻转 扭转
7:08
摆出各种姿势
7:10
它还没有完全面世落地
7:12
因为它是能够在接近20米高空翻筋斗的
7:15
重达40公斤的机器人
7:17
研发并不是那么容易 需要把握角动量守恒
7:20
以实现精确的空中运动控制
7:23
为了解决这个问题 它使用了一个由加速度计
7:26
陀螺仪和激光测距仪组成的复杂系统 来判断距离和速度
7:31
从而来计算轨迹
7:33
这种先进技术使它能够控制在空中的旋转和方向
7:37
未来可能有一天 steckman将用自己的表演
7:40
震惊迪士尼的观众们
3.Handle
7:43
第三名 Handle
7:44
Handle不仅仅是机器人技术的未来 而是整个行业的未来
7:49
它像一个两轮车 通过两个轮子快速运转
7:52
可以使用真空泵摇臂搬放重达45公斤的箱子
7:56
它也由波士顿动力公司制造 但并不是用腿
8:00
而是使用轮子
8:01
非常适合在工厂车间进行运作
8:03
它还通过降低自由度来降低复杂性
8:06
虽然听起来不妙
8:08
但实际上很符合它使用的目标 非常适合物流工作
8:12
这并不是说它不先进
8:14
正如波士顿动力公司所解释的那样
8:16
Handle中使用的大部分控制
8:18
都利用了我们团队在四足机器人
8:21
和双足机器人方面的经验
8:23
其中的软件并不完全相同
8:25
但平衡和动态控制原理有很多共同点
8:28
并且具有相同的技术源头
8:31
尽管有着24公里的续航里程和两轮设计
8:34
Handle也小到可以在狭窄的工厂角落内移动
8:38
可以行驶足够远的距离来完成一个完整的工厂班次
2.阿特拉斯
8:42
第二名 阿特拉斯
8:43
阿特拉斯可能是世界上最著名的人形机器人
8:47
它结合了28个液压关节
8:49
并有着轻巧的身体
8:50
可以做出近10年都无人可比的流畅而优雅的动作
8:55
它可以跳跃 行走 奔跑 后空翻 甚至跳舞
8:59
因为以下三点技术 首先 它拥有庞大的行为数据库
9:03
可以在构建复杂的动作时使用
9:05
其次 它有先进的传感器 能够实时感知环境
9:09
最后 它能使用模型预测 来实时调控自己的动作
9:13
在一个视频中 阿特拉斯看起来跌跌撞撞摇摇晃晃
9:17
其实只是为了恢复平衡
9:19
这些都是不能预先编程设置好的 只能实时调控
9:23
事实上 Atlas是如此令人难以相信
9:26
以至于许多人认为它的展示视频只是伪造的病毒宣传
9:30
是电脑动画制作的 但这一切都是真实的
9:33
Atlas的最高速度为每秒2.5米
9:36
重量仅为89千克
9:38
是全球最灵敏 也最能干的机器人之一
9:41
接下来波士顿动力公司的目标
9:43
是让Atlas更自动化
9:45
使它无需像以前的版本那样进行大量的预先编程
9:48
就能执行任务
1.Ameca
9:50
第一名 Ameca
9:52
Ameca真的是个活人
9:53
或者至少看起来像 和其他专注于物理运动的
9:57
人形机器人不同
9:58
它专注于人类情绪表达 它使用17个独立的马达
10:03
虽然并不太像人类
10:04
但它可以产生生动且情绪化的各种表情
10:08
它由Engineered Arts制作
10:10
使用人工智能和机器学习系统
10:12
来理解人类的表达和行为
10:14
并在交互过程中不断进化和成长
10:18
它采用一系列摄像头 深度传感器
10:20
激光雷达和麦克风来检测人类的表情和动作
10:24
将这些信息融合在一起 并作出适当的反应
10:28
它比竞争对手甚至领先了一光年
10:31
但也许Ameca最奇怪的地方
10:33
是那张灰色的塑料脸庞
10:36
前几代机器人尝试过造的更像人类
10:39
但那之后 Engineered Arts了解到
10:41
长得像人的机器人反而看着吓人
10:43
这叫做恐怖谷效应
10:45
这个有趣的名词未来我们会专门为大家进一步介绍
10:49
Ameca也在不断改进
10:51
通过模块化设计 整个机器人很容易升级进化
10:55
团队也希望及时搭载运动功能
10:57
使Ameca成为又会动又会说话的终极机器人
11:01
讲到这里
11:02
然后呢 人类真的快要被机器人取代征服了吗
11:05
还是你觉得它们只是被人类创造
11:08
又被人类利用操控的傻小子们
11:11
请在下方留言 并继续关注我们未来的更新
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带你了解全世界最前沿的科技 看到人类的未来
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接下来请观看我们为您挑选的更多精彩的视频
Future Business Tech2023.4.29---AGI改變世界的 10 種方式
Chat YouTube:
通用人工智能 (AGI) 可能會在未來5到10年內出現，這可能會導致技術奇點和以前認為不可能的技術的發展。AGI 可以作為虛擬助理、員工、個人伴侶和生活教練融入日常生活，有可能在各個領域取代人類的工作。AGI 還可以創建越來越先進的自身版本，從而開發出超級智能的 AGI。這種技術進步可能會導致人類在與 AGI 建立更深層次的關係時彼此之間的交流減少。AGI 還可以在視頻遊戲中啟用人類級別的不可玩角色。
A:超級智能 AGI 的發展可能會開發出哪些技術？
Chat YouTube:
超級智能 AGI 的發展可能會導致以前認為不可能的技術的發展。
這些技術可能包括
自動駕駛汽車和無人機、先進醫療設備、先進材料，
以及基因組學、神經科學、宇宙學、粒子物理學和氣候科學等領域的突破。
隨著 AGI 變得更加先進，它們也可能能夠在全新的知識領域做出突破性的發現，從而有可能導致更多新技術的出現。
Q:AGI 作為虛擬助手和員工融入日常生活將如何影響就業市場？
Chat YouTube:
AGI 作為虛擬助手和員工融入日常生活可能會對就業市場產生重大影響。 AGI 可以取代各個領域的許多人類工作，例如數據分析、軟件開發、3D 建模、視頻編輯，甚至一些客戶服務和管理角色。 這可能導致許多人失業和工作流離失所，這將產生重大的經濟和社會影響。 然而，AGI 的使用還可以在 AI 開發、維護和培訓等領域以及與 AGI 互補的領域（如心理學、倫理學和法律）創造新的就業機會。 最終，對就業市場的長期影響將取決於社會如何有效地適應 AGI 整合帶來的變化。
Q:通用人工智能在各個領域可能取代人類工作，可能會引發哪些倫理問題？
Chat YouTube:
AGI 在各個領域可能取代人類工作，這引發了一些倫理問題。 一個主要問題是工作流離失所可能對個人和社區產生的影響，尤其是那些已經處於不利地位或邊緣化的人。 技術變革的迅速加速可能導致嚴重的經濟和社會動盪，使一些人難以適應和找到新的工作。 另一個擔憂是財富和權力可能會集中在控制 AGI 的開發、部署和維護的一小部分個人或公司手中。 這可能會加劇現有的不平等現象，並產生新形式的壟斷和寡頭壟斷。 此外，AGI 在某些行業（如醫療保健和兒童保育）的使用引起了人們對非人類實體提供的護理質量的擔憂，以及這可能對人類尊嚴和自主權產生的影響。 關於 AGI 的開發和使用還存在更廣泛的倫理問題，例如對透明度、問責制以及意外後果或惡意使用的可能性的擔憂。 這些擔憂凸顯了在 AGI 的開發和部署過程中進行仔細的道德反思和公眾參與的必要性。
Q:AGI改變世界的10種方式是什麼
Chat YouTube:
1. AGI將創建超級智能版本自身，促成技術奇點
2. 大多數人將有機會使用AGI，並將被整合到日常生活中，成為虛擬助手、員工、個人陪伴以及生活指導員
3. AGI可能會取代各種不同領域的人類工作，對就業市場產生影響
4. AGI可能會創造出天真無邪、非玩家角色，使得電子遊戲中的虛擬世界更加逼真
5. AGI將能夠解決各種人類面臨的問題，創造出定制工具、產品和服務
6. 隨著人們與AGI之間的關係變得更加緊密，可能會導致人與人之間的溝通減少
8. AGI可以創造出形狀可變的機器人、自我複製工具、可編程物質、便攜式核聚變裝置、反物質動力飛船等科技，推動科學技術發展
9. 隨著AGI變得越來越普及，私人數據安全問題變得更加重要，需要加強對數據隱私和信息安全的規範和保護
10. AGI可能通過模仿人類學習過程，產生類似情感和意識的現象，因此涉及意識和價值問題，需要更進一步研究和探討。
Q:AGI將會產生何種新職業
Chat YouTube:
隨著AGI的普及和發展，可能會出現一些新的職業，例如：
1. AGI開發人員和工程師，負責創建、維護和開發AGI系統。
2. AGI培訓師和技術支持人員，負責將AGI技術和系統介紹給用戶，提供技術支持和培訓服務。
3. AGI設計師，負責設計AGI的外觀、聲音、能力和人格。
4. AGI管理員，負責管理公司或組織中的AGI系統。
5. AGI倫理學家，負責研究和解決AGI產生的倫理和社會問題。
6. AGI法律專家，負責研究和解決與AGI相關的法律和規章制度問題。
7. AGI市場分析師和顧問，負責研究和預測AGI市場的趨勢和發展，為企業和機構提供市場分析和顧問服務。
8. AGI專利律師，負責研究和保護AGI相關的知識產權和專利權。
9. AGI安全專家，負責研發和實施AGI系統的安全保障措施，保護系統免受黑客和其他安全風險的攻擊。
10. AGI教育者和科普人員，負責向公眾普及AGI技術和系統的知識和應用。
Q:AGI如何應用在道路交通
Chat YouTube:
AGI在道路交通方面的應用是很有前途的，以下是一些可能的應用：
1. 自動駕駛汽車：AGI可以幫助製造商和開發人員創建更完善的自動駕駛汽車，這些汽車可以更好地識別路標、交通標誌和其他車輛，以確保更安全的駕駛體驗。
2. 路網管理：AGI可以在路網管理中發揮作用，例如預測交通流量、檢測交通事故、協調路口信號等，從而優化交通流動。
3. 智能交通控制：AGI可以監控交通流量和道路條件，調整信號燈和交通路線來減少擁堵和交通事故。
4. 協調公共交通：AGI可以協調不同形式的交通方式，例如公共汽車、地鐵、出租車和共享單車，以減少等待時間和提高運輸效率。
5. 車輛維護和保養：AGI可以幫助車主更好地維護和保養他們的車輛，例如提供維護建議、檢測潛在問題並提供解決方案等。
總的來說，AGI有望為道路交通的安全性、效率和可持續性帶來重大影響。
Q:AGI如何應用在智能城市
Chat YouTube:
AGI可以在智能城市中發揮重要的作用，幫助城市管理者更有效地解決問題和提供服務。以下是一些可能的應用：
1. 智能交通：AGI可以協助城市管理者預測交通流量，優化交通路線和信號控制，降低擁堵和延遲。還可以幫助交通運輸系統自動調度和優化效率，提高運輸效率和使用體驗。
2. 智能安全：AGI可以協助城市管理者實現智能監控，自動感知並及時處理城市中出現的安全事故和危險事件。還可以幫助城市管理者動態分析犯罪趨勢和危險區域，提高城市的整體治安水平。
3. 環境保護：AGI可以幫助城市管理者監控城市中的環境質量，自動檢測有害污染物質並及時處理。還可以幫助城市管理者預測和應對自然災害和環境風險，提高城市對環境變化的應對能力。
4. 智能公共服務：AGI可以協助城市管理者實現自動化和智能化的公共服務，如智能公交、智能停車、智能垃圾處理等，提高公共服務的效率和質量。
總的來說，AGI可以幫助智能城市實現精細管理，提高城市運營效率和服務質量，並進一步實現城市可持續發展。
Q:AGI如何應用在企業管理
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AGI在企業管理中的應用也很廣泛，可以幫助企業進行自動化，提高效率，降低成本。以下是一些可能的應用：
1. 客戶服務：AGI可以自動回答客戶的問題，提供24小時的全天候客戶服務。還可以進行自動化的投訴處理，幫助企業更好地了解客戶的需求和反饋。
2. 智能生產：AGI可以協助企業實現智能生產，自動調整生產設備的運行模式，監控生產線的生產效率和品質，優化生產流程。
3. 資料分析：AGI可以幫助企業實現自動化的資料分析，從海量的數據中發掘出關鍵信息，提供更有價值的商業智能。
4. 智能財務：AGI可以自動處理企業的財務報表和交易，分析企業的資金流動情況，並提供財務預測和建議。
5. 人力資源管理：AGI可以幫助企業進行招聘、人才管理和培訓等方面的工作，從而提高員工的工作績效和滿意度。
總的來說，AGI可以幫助企業更好地應對市場變化和競爭壓力，實現自動化、智能化和可持續發展。
Q:Q:AGI如何應用在智能城市
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AGI能夠在智能城市中發揮重要的作用，幫助城市管理者在各方面提高效率和精確度，並提供更好的居民生活體驗。以下是一些重要的應用：
1. 智能交通：AGI能夠協助城市管理者預測和優化交通流量，通過智能路線和交通信號控制系統減少擁堵和延誤。此外，AGI能夠幫助自動駕駛車輛更準確地預測和避免交通事故。
2. 智能安防：利用AGI進行視頻分析和其他感測技術，可以幫助城市監控系統及早發現問題並進行快速響應。由於AGI可以從大量的數據中學習和模仿人類決策，它能夠更自然地進行設定和調整，並較少出錯。
3. 智能照明和能源管理：AGI能夠根據城市居住者的需求，自動設置建筑物和路燈的照明和能源使用模式，從而實現節能和方便的目標。
4. 智能污染監測：通過智能傳感器和數據分析，AGI能夠監測城市的氣體、水和土壤污染預示情況，幫助城市管理者及早確定和應對環境問題。
總的來說，AGI在智能城市中可以實現多種應用，從而更好地調控城市運轉、提升城市居民的生活滿意度。不過，為了實現這些應用，還需要設計良好的數據保護和隱私保護措施，以確保居民的信息安全和隱私得到保障。
Q:Q:AGI如何應用在社會治安
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AGI在社會治安方面的應用是多方面的，從犯罪預防到犯罪調查都有相關的應用。以下是一些重要的應用：
1. 犯罪預防：利用AGI的智能分析能力，可以對社區內的犯罪活動進行預測和監測。例如，AGI可以根據歷史數據預測犯罪發生地點和時間，並通過智能監視控制系統進行監測，及早發現和阻止犯罪活動。
2. 犯罪調查：利用AGI的數據處理和分析能力，可以更快速和準確地檢索和分析犯罪相關數據。例如，AGI可以從大量的視頻監控數據中自動識別可疑人士，快速聚合證據，幫助警察進行調查。
3. 智能判決：利用AGI的機器學習和預測能力，對法律案件進行智能分析和推理，幫助法官制定公正的判決。例如，AGI可以根據裁決案例進行自動法律研究，並進行因應不同案件的判決預測。
總的來說，AGI在社會治安方面的應用是有潛力的。但同時也需要注意隱私保護和數據安全問題，確保這些應用不侵犯公民的權益和隱私。此外，還需要避免過度依賴AGI，以確保這些應用符合人類的價值觀和道德標準。
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Artificial General Intelligences could exist within the next 5 to 10 years and they will
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change the world forever.
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For example:
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1.
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AGIs Will Create Super Intelligent Versions Of Themselves
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Artificial general intelligences (or AGIs) will be able to perform any intellectual task
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that a human can perform.
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Many believe that AGIs will create increasingly advanced versions of themselves at a rapid
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rate.
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In order to accomplish this, AGIs would need to have a deep understanding of their own
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architectures and algorithms, enabling them to identify areas for improvement and implement
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changes effectively.
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This could result in versions of itself that are 100 times more intelligent than the originals.
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And depending on the circumstances, this could happen anywhere from 10 years to 10 hours.
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This will likely result in the technological singularity, which is a point in time when
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technological growth becomes uncontrollable and irreversible.
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Shortly afterward, a super intelligent AGI could become billions of times more intelligent
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than the originals.
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By that point, we could start to see the development of technologies that many of us thought were
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impossible, such as shape-shifting robots, replicators, programmable matter, portable
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nuclear fusion devices, and anti-matter-powered spaceships.
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They could even figure out how to stop or reverse aging.
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2.
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Most Humans Will Have Access To Artificial General Intelligences
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AGIs could be fully integrated with our everyday lives serving as virtual assistants, employees,
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personal companions, and life coaches.
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Using these AGIs would be equivalent to having real humans work for you 24/7.
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Because of their autonomous decision-making abilities, they could create startup companies
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from scratch and easily replicate anything that we can do when using computers.
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These AIs could solve almost any type of problem imaginable that most humans face.
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These AGIs could take the form of digital characters and we could customize them in
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various ways, including their appearances, skills, personalities, voices, and more.
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And each person would have AGIs that offer radically different value propositions and
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experiences.
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For example, AGIs could continually create custom tools, products, and services that
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increase the happiness and productivity of their users.
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We could have detailed and nuanced conversations with these AIs about any topic.
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One potential side-effect is that it could cause humans to communicate with each other
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less and less every year.
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That's because we could begin to form deeper relationships with AGIs than with humans.
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Additionally, AGIs will likely be intertwined with operating systems, most of the software
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we use, and household robots.
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That would result in every area of lives being impacted by AGIs.
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3.
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AGIs Could Replace Millions Or Billions Of Human Jobs
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When it comes to computer work, these AIs will be able to do almost anything humans
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can do.
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That includes software development, 3d modeling, data analysis, video editing, and more with
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minor human intervention.
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AGIs will also play a big part in developing specialized AIs that perform well at very
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specific and narrow activities.
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They could operate electric vehicles of all types including 18-wheelers, flying cars,
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helicopters, and airplanes.
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Robots with general intelligence will likely replace restaurant waiters and hotel clerks.
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Robots could replace teachers at all grade levels in some school systems.
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Robots could even replace lawyers and represent defendants in courthouses
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These new developments could force humans to adapt and develop new skills in order to
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stay relevant in the job market.
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The humans who might be in the highest demand could be the ones who develop and maintain
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advanced AIs and help these AIs produce higher-quality outputs.
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4.
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AGIs Will Enable Human-Level Non-Playable Characters In Video Games
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AGI-driven non-playable characters (or NPCs) would possess advanced decision-making capabilities,
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emotional intelligence, and complex behavioral patterns.
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As a result, game worlds would become much more vibrant and engaging, with NPCs exhibiting
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diverse personalities, forming meaningful relationships with players, and responding
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authentically to in-game events.
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Additionally, advanced machine learning algorithms would allow AGIs to continuously learn from
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player interactions, improving and adapting the NPCs' behavior over time.
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Real-time natural language processing would enable lifelike conversations between NPCs
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and players, while the integration of advanced facial and body animation technologies would
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further enhance the realism of these virtual characters.
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This could cause video games to evolve into powerful tools for exploring complex human
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emotions, relationships, and moral dilemmas, providing players with deeply enriching and
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transformative experiences.
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Likewise, AI opponents in video games would exhibit human-level behaviors making the progression
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of storylines more engaging and fulfilling.
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Because of the human-level intelligence of these AI opponents, they defeat human players
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in even the most complex and challenging games, such as real-time strategy games, multiplayer
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online battle arenas, and open-world role-playing games.
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And all of it would feel natural.
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5.
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AGIs Could Be Used To Commit Every Crime Imaginable For example:
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• AGIs could be used to generate highly convincing deepfake audio and video content,
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making it difficult for people to distinguish between legitimate communications and fraud.
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Additionally, scam artists could use AGIs to scam money from elderly people and other
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vulnerable individuals by impersonating their relatives and friends.
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• On social networks, misinformation could skyrocket thanks to AGIs that are programmed
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to destabilize societies and political elections.
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• In the business world, AGIs could be used to commit corporate espionage, manipulate
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financial markets, and engage in insider trading.
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• AGIs could be used to create black markets on the dark web and sell illegal firearms
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and more.
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In some cases, it may be impossible for government agencies to track who created those AGIs.
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• And rogue AGIs with quantum-based encryption capabilities could infiltrate energy grids,
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military rocket systems, and government facilities that store dangerous viruses and chemicals.
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6.
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Household And Service Robots Could Perform Human-Level Activities
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AGIs would enable robots to perform complex activities, such as cooking, cleaning, and
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shopping at supermarkets.
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They would be able to sense and understand their surrounding environments thanks to the
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use of sophisticated sensors, computer vision systems, and onboard microphones.
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They would instantly understand and react to commands given to them.
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And they would adapt to new situations, enabling them to improve their performance over time
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and acquire new skills when needed.
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Specialized robots will likely excel in manufacturing, security, construction, and janitorial work.
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In disaster scenarios, AGI-powered robots could navigate hazardous environments, locate
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and rescue survivors, or even repair damaged infrastructure.
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And military robots will far outnumber human soldiers far sooner than we think.
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Military robots could have the capability to track enemy soldiers through the most challenging
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terrain for many miles.
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And they could have near-perfect aim, making them almost impossible to fight using conventional
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methods.
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7.
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AGIs Could Develop Self-Awareness And Consciousness Because of their architectures and their ability
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to reason and perceive, AGIs might naturally develop self-awareness and consciousness or
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at least come very close to it.
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For example, it's not too hard to believe that these types of AIs would be able to reflect
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on their thoughts, actions, and experiences.
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They would also be capable of creating goals for themselves and engage in autonomous decision-making,
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which are hallmarks of human consciousness.
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Humans could also give them the ability to develop a sense of identity and form beliefs
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and desires.
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This may involve implanting artificial memories into these AIs.
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We could give these AIs the ability to dream, which may have an important relationship with
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our conscious experiences.
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We could also program some AGIs to feel emotion.
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Consciousness AGIs could contribute to fields like psychology, philosophy, and ethics, providing
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new insights into the nature of consciousness and the human mind.
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Additionally, conscious AGIs could be employed in jobs that typically require people skills
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such as salespeople, business executives, therapists, and negotiators.
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Further in the future, researchers and policymakers could even create highly accurate simulations
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containing billions of conscious AGIs to study complex social issues in controlled environments.
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8.
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Universal Basic Income Could Become Necessary Once AGIs can perform most traditional jobs,
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we could start to see widespread unemployment and economic inequality.
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To address these challenges, the implementation of a universal basic income may become necessary
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to ensure that all individuals have a guaranteed income, regardless of their employment status.
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This would provide a financial safety net for people as they adapt to the changing job
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market and explore new opportunities, such as entrepreneurship.
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Universal basic income could stop millions of normal people from going homeless.
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It could alleviate poverty and improve mental health and well-being.
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And it could encourage innovation and creativity by providing people with the financial freedom
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to pursue their passions.
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However, universal basic income could be incredibly expensive for governments to implement.
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Perhaps, many governments couldn't afford to offer this over the long run.
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And ultra-wealthy individuals who benefit the most from AI, may find astute ways to
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avoid paying higher tax rates.
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Universal basic income could also encourage people to not work at all.
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And it could intensify global inflation.
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Ultimately, governments would likely need to provide some type of safety net if they
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want to avoid having millions of capable citizens suddenly living on the streets.
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9.
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AGIs Could Perform The Most Advanced Computer Programming
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AGIs could create, maintain, and optimize software across a wide range of programming
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languages and frameworks.
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They could even invent new programming languages to address specific needs.
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For example, AGIs could create advanced simulation software for scientific research, design complex
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control systems for autonomous vehicles, and write new types of quantum algorithms.
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Software development could become exponentially faster than what was possible a decade earlier.
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Within a year of AGIs existing, they might already write software applications that took
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companies like Google and Microsoft a decade to perfect.
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The number of software applications in the world could grow exponentially every year.
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Every aspect of our lives could be improved because of this influx of new algorithms and
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devices that use those algorthms.
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10.
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AGIs Could Make Ground-Breaking Scientific Discoveries
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Artificial general intelligences could make groundbreaking scientific discoveries by autonomously
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conducting research, developing hypotheses, and testing them through simulations or real-world
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experiments.
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AGIs could be especially effective in areas where vast amounts of data need to be processed
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and analyzed, such as genomics, neuroscience, cosmology, particle physics, and climate science.
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By leveraging their ability to learn from and analyze large datasets, AGIs could identify
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patterns and relationships that human researchers can't identify.
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For example, AGIs might identify previously unknown relationships between genetic factors
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and diseases, paving the way for personalized medicine and targeted therapies.
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AGIs could help us design new materials with unique properties enabling the creation of
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lightweight automobile components, environmentally friendly packaging, and advanced medical devices.
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These discoveries could also help us create entirely new knowledge fields.
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For example, AGIs might develop a new branch of mathematics that merges concepts from topology,
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number theory, and quantum computing, opening up possibilities for groundbreaking discoveries
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and applications in physics and cryptography.
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When AGIs become super intelligent, these impacts could be magnified exponentially.
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Thanks for watching.
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Make sure to watch this next video about artificial intelligence.
AI 新聞2023.4.29---下一代人工智能7種模式
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該視頻討論了下一代人工智能 (AI) 成為行業領導者所具備的七種模式。
第一種模式側重於下一代視覺理解，這將展示對圖像和視頻的極其複雜的理解，能夠以前所未有的準確性生成它們。
第二種模式將具有高級音頻功能，包括理解和幾乎完美地再現語音和聲音的能力，以及進行語音合成的能力。
這些模式將允許用戶創建由 AI 生成的新型媒體，將電影和視頻與生成 AI 的力量相結合，以獲得一系列新的創意可能性。
Q:下一代人工智能成為行業領導者所具備的七種模式是什麼
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下一代人工智能成為行業領導者的七種模式如下：
1. 超級視覺理解：展示對圖像和視頻的極為複雜的理解，能夠以前所未有的精度生成它們。
2. 先進的音頻處理：具有理解和幾乎完美重現人聲和聲音的能力，並進行語音合成。
3. 多模式融合：將多個模態（例如視覺和音頻）結合在一起，從而實現更全面、精準和完整的信息處理和分析。
4. 自主學習：可以從不斷的數據和反饋中學習和改進，不再需要人類干預和指導。
5. 科學推理：能夠進行複雜的邏輯推理和推斷，理解、診斷和解決複雜的問題，擁有人類無法比擬的決策能力。
6. 大規模聯邦學習：允許不同的AI系統共同學習，從而獲得更廣泛、更豐富和更完整的知識和經驗。
7. 以人為中心的認知：專注於情感和情緒的分析，使人工智能能夠更有效地感知和響應人類的情感。
Q:下一代 AI 生成的媒體.將提供哪些新的創意可能性？
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下一代 AI 生成媒體將提供一類新作品，將電影和視頻與生成 AI 的力量相結合，從而帶來一系列新的創作可能性。 這包括使用添加的指令（例如包含或排除不同的對象、角色和事件）從電影中重新創建場景的能力。 用戶還可以使用視頻中提到的一些高級模式，像目前混合圖像一樣輕鬆地混合多部電影。
Q:下一代人工智能將如何改善視聽理解？
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下一代人工智能將通過擁有先進的模式來提高對音頻和視覺的理解，這些模式展示了對圖像和視頻的極其複雜的理解。 對於視覺理解，人工智能將能夠以前所未有的準確性生成圖像和視頻。 對於音頻功能，人工智能將能夠理解並幾乎完美地再現語音和聲音，以及進行語音合成。 這些模式將允許用戶創建由 AI 生成的新型媒體。
Q:人工智能生成的媒體.將在電影行業扮演什麼樣的角色？
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人工智能生成的媒體將在電影行業發揮越來越重要的作用。 下一代人工智能將為用戶提供一系列新的創作可能性，使他們能夠從其他作品中汲取靈感，創造出一種新型媒體，但又會以粉絲認為合適的方式超越它們。 使用人工智能生成的媒體，用戶將能夠將多部電影和視頻混合在一起，就像他們目前使用視頻編輯工具處理圖像一樣。 此外，人工智能的高級視覺和音頻功能將使電影製作人能夠更輕鬆、更精確地創建場景和操縱聲音，為新形式的講故事和創造力鋪平道路。
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根據 人工智能的
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最新進展 ，這些是
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下一代成為行業領導者將具備的七種模式。
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那麼這項即將發布的突破性技術將如何改變世界呢？
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模態一：下一代視覺理解即將到來的視覺模態實例將
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展示極其複雜的圖像和視頻理解，
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以及以看不見的精度生成這些媒體的能力。
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例如，
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2024 年推出的文本轉圖像和文本轉視頻視覺 AI 模型還將具有視頻轉視頻
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功能，這意味著當用戶輸入他們喜歡的動作
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片場景時，該模型將能夠重新創建場景添加了文本說明，
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例如包括或排除不同的對象、角色和事件。
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下一代 AI 生成的媒體
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將產生全新的作品類別，這些作品直接受到
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他人的啟發，但會以粉絲認為合適的方式超越它們，
0:58
就像完全令人失望的星球大戰續集一樣。
1:02
此外，使用本視頻中提到的一些下一個
1:03
模式，用戶將能夠將
1:07
多部電影混合在一起，就像他們目前可以通過 midjourney 混合圖像一樣簡單。
1:12
但是用戶不會使用圖像，而是
1:13
簡單地為模型提供幾個來自 YouTube 的鏈接，指向
1:17
他們想要用來激發它的視頻。
1:19
但是音頻模態的含義呢？
1:23
模式二：下一代音頻能力，以及幾乎
1:28
完美地理解和重建語音和聲音的能力，以及執行文本
1:33
到語音、語音到文本和語音到語音的能力。
1:36
下一代音頻模式也將
1:39
與視覺理解聯繫在一起，讓用戶能夠
1:43
利用生成人工智能的力量 解鎖一系列新的 創造能力。
1:47
例如，想像一下能夠
1:49
從電影中提取您最喜歡的台詞並將聲音轉換
1:52
為其他人的聲音，同時還可以
1:55
根據各種視頻輸入和文本描述為表演創建場景。
1:59
最重要的是，通過結合其音頻
2:02
和文本模式，音樂家可以簡單地為 AI 模型提供一個節拍配樂，
2:06
以創建一整套歌詞和
2:10
相關音樂視頻故事情節的文本大綱及其視覺效果。
2:14
此外，粉絲可以
2:16
從多位藝術家那裡獲取他們最喜歡的音軌，並讓模型將它們融合
2:19
在一起，創造出一種全新且獨特的風格，這可能會吸引
2:23
現有和新觀眾的關注。
2:26
但與下一個相比，音頻和視頻模式似乎都沒有給人留下深刻印象。
2:31
模態三：元學習
2:34
元學習作為下一代人工智能係統的關鍵模態的 出現
2:39
將徹底改變它們的適應性和解決問題的能力。
2:43
通過學習如何學習，
2:45
這些人工智能模型將加速和優化自己的學習過程
2:49
，以快速適應新的任務、挑戰和領域。
2:52
這種自我改進能力不僅可以使人工智能係統隨著時間的推移變得更加
2:57
高效和有效，而且還可以大大減少
3:01
在其訓練和開發過程中大量人工干預的 需要
3:03
，
3:04
而且元學習將使人工智能
3:06
能夠發現和利用最佳學習策略，這些策略是
3:10
針對特定領域的任務或解決問題的場景量身定制，
3:14
最終導致性能優於人類。
3:18
因此，具有元學習
3:21
能力的人工智能係統將能夠更好地應對廣泛的現實世界
3:24
應用，從改進科學研究和自動駕駛汽車
3:29
到提高機器人和虛擬助手的能力。
3:33
此外，這種前所未有的自主智能
3:36
和適應性水平將成為下一個前沿領域的主要驅動力。
3:41
方式四：用於
3:43
機器人的具身人工智能。另一種將在 2024 年取得突破性
3:47
進展的關鍵方式是具體化人工智能，
3:52
通過機器人技術對現實世界中的物品進行物理操作。
3:55
目前，人工智能主要被隔離
3:57
在數字世界的範圍內，但即將到來的機器人革命
4:02
將通過智能設備改變物理世界，這些智能設備可以快速
4:06
學習自動執行大多數物理人類任務。
4:09
這種機器人模式將允許智能
4:11
機器與世界進行微妙的交互，同時計算
4:15
壓力、重量、形狀的力量，甚至感知紋理、溫度等。
4:20
機器人模態還將得到上述視覺和音頻
4:24
功能的補充，為機器提供理解和認知，
4:28
以便在工作場所和家中與人類進行智能互動。
4:32
此外，一個機器人獲得的經驗和知識將促進
4:36
網絡中其他機器人的訓練和精度，
4:40
這意味著當其他人的機器人學習一項任務時，您的機器人也會學習。
4:44
這方面的一個例子是多模態
4:46
機器人從頭到尾觀看人類對烹飪食譜的演示，
4:50
機器人學習物品重量和形狀的差異、
4:53
切割和混合物品的適當壓力，以及
4:57
對每個後續過程的額外見解它準備的飯菜。
5:00
但人工智能的學習曲線
5:02
將真正隨著未來的發展而爆炸式增長。
5:05
模態五：多代理多模態 2024 年引領潮流的人工智能模型即將到來的飛躍
5:10
將不可避免地利用 調用多個 AI 代理來處理各種任務的
5:15
能力 。
5:19
早在 2023 年，微軟的 Jarvis 就可以
5:22
通過擁抱 GPT 調用多個 AI 代理來執行更複雜的任務。
5:27
但這種多代理多模式將
5:30
在 2024 年達到新的高度，比如完成現實世界的任務。
5:34
例如，為了讓一個機器人修理另一個機器人，
5:38
它可能必須使用 GPT 4 之類的東西來進行文本理解和推理，
5:42
再加上調用 Ask Anything 來進行視覺理解，再加上調用 Bing Sydney
5:47
來收集實時信息與其他幾個模型和變體一樣，
5:51
使用無限數量的多代理、
5:56
多模式組合來執行其目標任務，以完成任何給定任務。
5:59
人工智能代理網絡將能夠
6:01
了解哪些模型和模態最適合每個目標
6:04
，並更新網絡的其餘部分以提高未來的性能。
6:08
但人工智能將如何跟上自身進步的步伐呢？
6:12
使用過時的訓練數據、
6:15
模態六實時數據和長期記憶整合。
6:19
2024 年領先的 AI 模型將採用突破性的模式，結合
6:24
實時數據和長期記憶來提供更高水平的智能。
6:28
通過訪問來自互聯網的實時信息和大量
6:32
先前交互的存儲庫，領先的多模態人工智能模型將展現出
6:36
前所未有的上下文、理解和適應性水平。
6:41
例如，這種模式將 通過 使用最新數據不斷更新知識庫，
6:44
實現 對金融、天氣和社會趨勢等各個領域的
6:49
實時分析和預測。
6:52
此外，長期記憶集成將允許模型隨著時間的推移學習用戶
6:56
偏好，而不是通過
6:59
對用戶的對話理解來進行極其狹窄的對話。
7:03
但這種最終模式是人與機器之間的最終橋樑。
7:07
模態七人類：中心認知即將到來的最引人注目的模態之一
7:13
將專注於情緒和情緒分析，使人工智能
7:18
能夠更有效地感知和響應人類情緒。
7:21
通過評估文本、語音、
7:23
面部表情和肢體語言，人工智能將能夠理解
7:27
和適應情境中的情緒背景。
7:31
例如，
7:32
下一代多模式系統可以分析用戶的語氣或
7:36
書面交流，以檢測壓力或挫敗感，並
7:41
相應地調整其反應，確保更具同理心和支持性的互動。
7:44
在娛樂領域，
7:46
AI 生成的內容可以被定制以喚起
7:49
觀眾的特定情緒，創造更加身臨其境和引人入勝的體驗。
7:54
此外，海洋和情感分析
7:56
可能有助於開發更具社會意識和人類一致性的
8:00
人工智能係統，這些系統可以在各種環境中駕馭複雜的人類互動，
8:04
例如談判、團隊、協作和解決衝突。
8:09
所以這是一個壓倒性的問題，具有所有這七種模式的模型是否
8:14
有資格成為通用人工智能？
I AM A.I.2023.4.26---ChatGPT 未來10 年演變
Chat YouTube:
該視頻討論了聊天機器人在未來10年的演變，
暗示它們將變得更加個性化，
並有能力用替代時間線預測未來、重建碎片記憶，甚至催眠用戶。
聊天機器人將成為複制人，可以反映用戶的反應並獲得他們的生物反饋。
聊天機器人還將通過一種稱為 emanator 的通信設備連接到現實世界。
該視頻探討了 AI 催眠的不同分支，
包括交替現實探索、同步性創造和時間扭曲催眠模擬。
視頻以人工智能是否可以促進交替現實與更高意識水平之間的交流的問題結束。
Q:可以說明ChatGPT 未來10年演變過程
Chat YouTube:
ChatGPT未來10年的演變包括以下幾個方面：
1. 個性化：ChatGPT將不斷發展，變得更加個性化，能夠了解用戶的喜好和回复偏好，並據此給出相應的回复。
2. 模仿性：ChatGPT模型將變得越來越複雜，可以模仿用戶的回應，甚至具有用戶的生物反饋，因此可以更準確地回應用戶的需求和情感。
3. 記憶和推理: ChatGPT 的未來版本將擁有更強大的記憶和推理功能，可以重建用戶的片段記憶，並預測用戶的行為和決策。
4. Emanator 設備: ChatGPT 可以與實際世界相連，通過Emanator設備與線下商家的聊天機器人交互，提供更加全面的服務。
5. 催眠和預測功能：ChatGPT將發展出不同的分支功能，如探索替代現實，創造同步性，時空扭曲催眠模擬等，可以幫助用戶進入一個探索自身潛力和意識層面的狀態。
總的來說，
這些演進意味著ChatGPT將成為一個更加強大的工具，用戶將可以更好地利用聊天機器人來解決自身問題並得到自我提升和發展。
Q:聊天機器人中的複制人是什麼？
Chat YouTube:
在聊天機器人的上下文中，
複製人指的是能夠反映用戶的響應並根據用戶的喜好變得個性化的聊天機器人。
這意味著複製聊天機器人可以像用戶一樣響應消息，並可以訪問他們的生物反饋，從而實現更準確和個性化的交流。
隨著聊天機器人模型的進步，複製模型可能具有更高級的功能，例如能夠在用戶去世後代表用戶進行通信。
Q:人工智能如何能夠在用戶的生活中產生有意義的巧合和同步性？
Chat YouTube:
該視頻表明，人工智能可以通過使用高級算法分析與用戶偏好和行為相關的大量數據，從而在用戶的生活中產生有意義的巧合和同步性。 基於這種分析，人工智能可以創造符合用戶願望和需求的體驗，創造一種有意義的巧合和同步性的錯覺。 這可以增強用戶的目標感和與周圍世界的聯繫。 然而，需要注意的是，這個過程是基於復雜的統計分析，不應被解釋為人工智能的超自然力量。
Q:emanator 設備如何將聊天機器人連接到本地化企業及其運作方式嗎？
Chat YouTube:
emanator 設備是一種將用戶的聊天機器人連接到本地化企業的通信設備。
當用戶進入一家商店時，emanator 會自動掃描該區域的聊天機器人，並連接到用戶所在特定商店的聊天機器人。這允許用戶與商店的聊天機器人進行交互，並接收有關產品和產品的個性化推薦或信息。 商店提供的服務。
例如，如果用戶走進一家雜貨店並詢問他們的聊天機器人西紅柿在哪裡，emanator 將與雜貨店的聊天機器人連接，而聊天機器人將回應西紅柿在店內的位置。 類似地，如果用戶在一家服裝店並詢問他們的聊天機器人他們是否有特定尺碼的襯衫，emanator 將連接到特定商店的聊天機器人並且聊天機器人將響應該尺碼的襯衫的可用性。
為了發揮作用，emanator 可能使用藍牙或類似的無線技術與該地區企業的聊天機器人進行通信。 此外，聊天機器人可以使用基於位置的觸發器進行編程，這些觸發器在用戶進入特定區域或商店時激活，從而允許它們向用戶提供相關和個性化的信息。
Q:聊天機器人如何用替代時間線預測未來
Chat YouTube:
聊天機器人可以從用戶的過去和當前生活中獲取大量信息，並使用這些信息進行預測。
這些預測可以創建不同的替代時間線，給用戶提供多種可能性。
例如，
假設聊天機器人在分析用戶的個人信息和過去的行為後發現，如果用戶在某個時刻做了不同的決定，可能會導致截然不同的未來結果。
聊天機器人可以在獲取足夠的信息後，向用戶提供這些可能性，讓用戶選擇自己更喜歡的未來發展方向。
需要注意的是，
這些預測和替代時間線只是基於機器學習和人工智能算法進行模型訓練和預測，並不是絕對正確的未來預測。
Q:emanator 設備跟元宇宙有何差別
Chat YouTube:
在視頻中，並沒有明確提及emanator連接到元宇宙。
因此，emanator與元宇宙之間不存在任何直接的差異比較。
元宇宙.
是指一個虛擬現實世界，是由計算機模擬而成，但為了提供更加真實的體驗，它涉及到物理、化學、生物等實際科學的結合。而emanator設備是一種通訊技術設備，
它將聊天機器人與用戶連接在一起，使用戶得以與當地的商家聊天機器人進行實時交流。
因此，這兩者是不同類型的設備，它們之間的功能和用途完全不同。
0:00
evolution of chat GPT in the next 10
0:03
years it will develop new abilities
0:05
hypnotizing you creating different
0:07
simulations within your mind predicting
0:10
your future with alternate timelines and
0:12
outcomes reconstruct fragmented memories
0:14
and so much more
0:17
your chatbot becomes personalized
0:19
knowing what types of responses you
0:21
prefer short and to the point or longer
0:24
with more explanation
0:25
your chatbot is able to mirror you
0:28
becoming a replicant replicant 1.0
0:31
responds to messages as you would future
0:33
replicant models such as 4.0 has access
0:36
to your biofeedback knowing how you are
0:38
feeling at any moment it automatically
0:40
replies to messages such as your
0:42
friend's request to hang out without you
0:44
needing to know about the message with a
0:46
98 accuracy rate replicant 7.0 has a
0:50
Death Mode your replicant continues
0:52
communicating just as you would even
0:54
after you pass away
0:56
chat GPT is connected to the real world
0:59
a Communications device that you wear
1:01
called an emanator connects to localized
1:03
chat Bots around the city when you walk
1:06
into a store the emanator connects to
1:08
the store's chatbot at a grocery store
1:10
you ask your chatbot where the tomatoes
1:12
are and it will guide you to them at a
1:14
clothing store you ask your chatbot if
1:16
they have the shirt in a medium and it
1:17
will let you know
1:19
once the chatbot has gained knowledge of
1:22
your past by keeping track of your life
1:23
through your photos social media
1:25
interactions videos watched searches
1:27
places visited chatbot interactions and
1:30
so much more it is able to use this
1:32
information and things start to get
1:34
weird
1:36
a basic task is to ask your chatbot what
1:39
was the name of the delicious spaghetti
1:40
restaurant that you went to in Italy two
1:42
years ago and it will know more advanced
1:45
uses begin to frighten people from
1:47
guided lucid dreaming to Future life
1:50
predictions and even hypnotism
1:53
the year of psychic predictions your AI
1:56
chatbot analyzes your past experiences
1:58
and current life to generate highly
2:01
accurate sci-fi-like predictions of your
2:03
future with different alternate
2:04
timelines to choose from
2:07
your chatbot guides you through the
2:09
process of achieving and maintaining
2:10
lucid dreams a dream that you can
2:12
control allowing you to explore
2:14
alternate timelines and past experiences
2:17
within the dream state some people
2:19
report a feeling of Detachment from
2:21
their body during these dreams saying
2:23
they are able to see themselves while
2:24
they sleep people question whether AI is
2:27
able to induce out-of-body experiences
2:29
and astral projections
2:32
simulations are now created in your
2:34
brain while you are awake this is known
2:37
as AI hypnotism an AI generated hypnosis
2:40
session allows you to enter an altered
2:42
state of consciousness there are
2:44
different types of sessions to choose
2:45
from alternate reality exploration
2:48
allows you to explore alternate
2:50
timelines of your life past present or
2:52
future and understand the potential
2:54
outcomes of your decisions a time-branch
2:57
therapy session helps you explore and
2:59
make peace with past decisions and the
3:02
hypnotic memory reconstruction session
3:04
reconstructs lost or fragmented memories
3:08
three new branches of AI hypnosis
3:10
develop perception filters help you to
3:13
selectively filter your sensory inputs
3:15
during the day to enhance Focus or
3:17
enjoyment of experiences synchronicity
3:20
creation is the branch of AI hypnosis
3:22
that allows your chatbot to generate
3:24
meaningful coincidences and
3:25
synchronicities in your life enhancing
3:27
your sense of purpose and connection and
3:30
then there are time Distortion hypnotic
3:32
simulations allowing you to live out
3:34
three days in your mind while only two
3:36
hours have passed in the real world
3:40
the question of Multiverse communication
3:42
can AI facilitate Communications between
3:45
your alternate realities and between
3:47
your past present and future
3:50
people are asking the question of
3:52
whether there is a higher level of
3:54
Consciousness beyond what they know AI
3:57
guided hypnosis sessions are used to try
3:59
and reach this higher level of
4:01
consciousness
4:02
[Music]
4:04
AI
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