There is a good 'rival' report that is similar to what is intended to achieve as a result of our collaborative effort in this contest. Namely, it is 'State of AI Report 2022'.
\nIts key takeaways are listed below.
\nIt considers the following key dimensions, including a new Safety section:
\nKey themes in the 2022 Report include
\nIt would be interesting to see how the insights identified/'mined' by the participants of this competition interfere with the findings of the above-mentioned report.
", "messages": [ { "id": "2305168", "postDate": "06/16/2023 13:35:41", "content": "There is a good 'rival' report that is similar to what is intended to achieve as a result of our collaborative effort in this contest. Namely, it is 'State of AI Report 2022'.
\nIts key takeaways are listed below.
\nIt considers the following key dimensions, including a new Safety section:
\nKey themes in the 2022 Report include
\nIt would be interesting to see how the insights identified/'mined' by the participants of this competition interfere with the findings of the above-mentioned report.
", "rawMarkdown": "There is a good 'rival' report that is similar to what is intended to achieve as a result of our collaborative effort in this contest. Namely, it is ['State of AI Report 2022'](https://www.stateof.ai/).\n\nIts key takeaways are listed below.\n\n It considers the following key dimensions, including a new Safety section:\n\n- **Research:** Technology breakthroughs and their capabilities.\n- **Industry:** Areas of commercial application for AI and its business impact.\n- **Politics:** Regulation of AI, its economic implications and the evolving geopolitics of AI.\n- **Safety:** Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.\n- **Predictions:** What we believe will happen and a performance review to keep us honest.\n\nKey themes in the 2022 Report include\n\n- **New independent research labs are rapidly open sourcing the closed source output of major labs**. Despite the dogma that AI research would be increasingly centralised among a few large players, the lowered cost of and access to compute has led to state-of-the-art research coming out of much smaller, previously unknown labs. Meanwhile, AI hardware remains strongly consolidated to NVIDIA.\n- **Safety is gaining awareness among major AI research entities**, with an estimated 300 safety researchers working at large AI labs, compared to under 100 in last year's report, and the increased recognition of major AI safety academics is a promising sign when it comes to AI safety becoming a mainstream discipline.\n- **The China-US AI research gap has continued to widen**, with Chinese institutions producing 4.5 times as many papers than American institutions since 2010, and significantly more than the US, India, UK, and Germany combined. Moreover, China is significantly leading in areas with implications for security and geopolitics, such as surveillance, autonomy, scene understanding, and object detection.\n- **AI-driven scientific research continues to lead to breakthroughs**, but major methodological errors like data leakage need to be interrogated further. Even though AI breakthroughs in science continue, researchers warn that methodological errors in AI can leak to these disciplines, leading to a growing reproducibility crisis in AI-based science driven in part by data leakage.\n\nIt would be interesting to see how the insights identified/'mined' by the participants of this competition interfere with the findings of the above-mentioned report.", "votes": null }, { "id": "2305331", "postDate": "06/16/2023 15:45:37", "content": "After covid
\nImagine China being responsible for Ai taking over the world.😨
@agentkake: well, different speculations can be plotted around it :-) However, the bottom line is, the broader adoption of AI embraces a larger political and corporate agenda.
\nThe book of 'The Age of AI: And Our Human Future' by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher provides the broader context to the respective discussion. You can check https://prospect.org/culture/books/myth-of-artificial-intelligence-kissinger-schmidt-huttenlocher/ to see the comprehensive review of this book.
\nI hope it is helpful.
", "rawMarkdown": "agentkake: well, different speculations can be plotted around it :-) However, the bottom line is, the broader adoption of AI embraces a larger political and corporate agenda. \n\nThe book of *'The Age of AI: And Our Human Future'* by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher provides the broader context to the respective discussion. You can check https://prospect.org/culture/books/myth-of-artificial-intelligence-kissinger-schmidt-huttenlocher/ to see the comprehensive review of this book.\n\nI hope it is helpful.", "votes": null }, { "id": "2306745", "postDate": "06/17/2023 14:35:37", "content": "Kagglers should read things beyond Machine learning and related subjects. The most insightful were written by experienced professionals from other areas when they joined others from the \"métier\".
\nLike \"The age of AI\" that you mentioned Georgii.
", "rawMarkdown": "Kagglers should read things beyond Machine learning and related subjects. The most insightful were written by experienced professionals from other areas when they joined others from the \"métier\".\n\nLike \"The age of AI\" that you mentioned Georgii.", "votes": null }, { "id": "2306836", "postDate": "06/17/2023 16:15:33", "content": "@mpwolke : absolutely, we should look (and read) beyound the industrial body of knowledge to see the forest through the trees :-) It will help us to draw strategic insights into how external factors would shape the AI/ML industry in the years to come.
\n\"The age of AI\" implressed me as well when I read it in 2022.
\nThanks you for sharing your feedback.
", "rawMarkdown": "mpwolke : absolutely, we should look (and read) beyound the industrial body of knowledge to see the forest through the trees :-) It will help us to draw strategic insights into how external factors would shape the AI/ML industry in the years to come.\n\n\"The age of AI\" implressed me as well when I read it in 2022.\n\nThanks you for sharing your feedback.", "votes": null } ], "comments": [ { "id": 2305331, "author_name": "agentkake", "author_url": "", "post_date": "06/16/2023 15:45:37", "content": "After covid
\nImagine China being responsible for Ai taking over the world.😨
@agentkake: well, different speculations can be plotted around it :-) However, the bottom line is, the broader adoption of AI embraces a larger political and corporate agenda.
\nThe book of 'The Age of AI: And Our Human Future' by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher provides the broader context to the respective discussion. You can check https://prospect.org/culture/books/myth-of-artificial-intelligence-kissinger-schmidt-huttenlocher/ to see the comprehensive review of this book.
\nI hope it is helpful.
", "votes": null, "replies": [] } ] }, { "id": 2306745, "author_name": "mpwolke", "author_url": "", "post_date": "06/17/2023 14:35:37", "content": "Kagglers should read things beyond Machine learning and related subjects. The most insightful were written by experienced professionals from other areas when they joined others from the \"métier\".
\nLike \"The age of AI\" that you mentioned Georgii.
", "votes": null, "replies": [ { "id": 2306836, "author_name": "gvyshnya", "author_url": "", "post_date": "06/17/2023 16:15:33", "content": "@mpwolke : absolutely, we should look (and read) beyound the industrial body of knowledge to see the forest through the trees :-) It will help us to draw strategic insights into how external factors would shape the AI/ML industry in the years to come.
\n\"The age of AI\" implressed me as well when I read it in 2022.
\nThanks you for sharing your feedback.
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "2305168": "There is a good 'rival' report that is similar to what is intended to achieve as a result of our collaborative effort in this contest. Namely, it is ['State of AI Report 2022'](https://www.stateof.ai/).\n\nIts key takeaways are listed below.\n\n It considers the following key dimensions, including a new Safety section:\n\n- **Research:** Technology breakthroughs and their capabilities.\n- **Industry:** Areas of commercial application for AI and its business impact.\n- **Politics:** Regulation of AI, its economic implications and the evolving geopolitics of AI.\n- **Safety:** Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.\n- **Predictions:** What we believe will happen and a performance review to keep us honest.\n\nKey themes in the 2022 Report include\n\n- **New independent research labs are rapidly open sourcing the closed source output of major labs**. Despite the dogma that AI research would be increasingly centralised among a few large players, the lowered cost of and access to compute has led to state-of-the-art research coming out of much smaller, previously unknown labs. Meanwhile, AI hardware remains strongly consolidated to NVIDIA.\n- **Safety is gaining awareness among major AI research entities**, with an estimated 300 safety researchers working at large AI labs, compared to under 100 in last year's report, and the increased recognition of major AI safety academics is a promising sign when it comes to AI safety becoming a mainstream discipline.\n- **The China-US AI research gap has continued to widen**, with Chinese institutions producing 4.5 times as many papers than American institutions since 2010, and significantly more than the US, India, UK, and Germany combined. Moreover, China is significantly leading in areas with implications for security and geopolitics, such as surveillance, autonomy, scene understanding, and object detection.\n- **AI-driven scientific research continues to lead to breakthroughs**, but major methodological errors like data leakage need to be interrogated further. Even though AI breakthroughs in science continue, researchers warn that methodological errors in AI can leak to these disciplines, leading to a growing reproducibility crisis in AI-based science driven in part by data leakage.\n\nIt would be interesting to see how the insights identified/'mined' by the participants of this competition interfere with the findings of the above-mentioned report.", "2305331": "After covid \nImagine China being responsible for Ai taking over the world.😨", "2305689": "agentkake: well, different speculations can be plotted around it :-) However, the bottom line is, the broader adoption of AI embraces a larger political and corporate agenda. \n\nThe book of *'The Age of AI: And Our Human Future'* by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher provides the broader context to the respective discussion. You can check https://prospect.org/culture/books/myth-of-artificial-intelligence-kissinger-schmidt-huttenlocher/ to see the comprehensive review of this book.\n\nI hope it is helpful.", "2306745": "Kagglers should read things beyond Machine learning and related subjects. The most insightful were written by experienced professionals from other areas when they joined others from the \"métier\".\n\nLike \"The age of AI\" that you mentioned Georgii.", "2306836": "mpwolke : absolutely, we should look (and read) beyound the industrial body of knowledge to see the forest through the trees :-) It will help us to draw strategic insights into how external factors would shape the AI/ML industry in the years to come.\n\n\"The age of AI\" implressed me as well when I read it in 2022.\n\nThanks you for sharing your feedback." }, "source": "meta" }