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blog.heim.xyz | ||
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epochai.org
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| | | | | We've compiled a dataset of the training compute for over 120 machine learning models, highlighting novel trends and insights into the development of AI since 1952, and what to expect going forward. | |
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epochai.org
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| | | | | Training runs of large machine learning systems are likely to last less than 14-15 months. This is because longer runs will be outcompeted by runs that start later and therefore use better hardware and better algorithms. | |
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epochai.org
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| | | | | We combine the Direct Approach framework with simple models of progress in algorithms, investment, and compute costs to produce a user-adjustable forecast of when TAI will be achieved. | |
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aymannadeem.github.io
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| | | Last September, I attended the O'Reilly Artificial Intelligence conference. Despite possessing a formal background in the field, many of the talks were unapproachable. Technical presentations commonly fall victim to dense slide decks loaded with obtuse jargon and incomprehensible descriptions. It occurred to me that "Artificial Intelligence" has become a buzzword drained of clear meaning. For these reasons, this post attempts to do three things: | ||