Jeremy Howard
Co-founder of fast.ai and a recognized AI educator and researcher, known for a practice-driven approach to teaching deep learning.
Core Facts
fast.ai founder Jeremy Howard systematized the "top-down teaching approach" and applied it in his deep learning courses.
In AI-assisted programming, the time developers spend on communication and correction often exceeds the actual coding time.
llms.txt was formally proposed by Jeremy Howard (founder of fast.ai) in 2024; websites place a Markdown-format file at the path /.well-known/llms.txt to describe the site's core content.
Timeline (last 90 days)
Jeremy Howard proposed the llms.txt proposal at llmstxt.org on September 3, 2024, and the proposal's original wording states that it is primarily intended for inference rather than training.
The llms.txt draft was published by Jeremy Howard in 2024, and has since been partially adopted by vendors such as Anthropic and Cloudflare, but it has not yet become an industry standard, and mainstream models have not publicly committed to reading it.
Jeremy Howard compared AI-assisted programming to a slot machine, arguing that it is more like a slot machine than a genuine productivity engine.
Jeremy Howard is the co-founder of fast.ai and a well-known AI researcher.
Howard believes that AI programming gives developers an 'illusion of control.'
Howard believes that the AI programming process has the characteristic of 'loss disguised as a win': random outcomes, a sense of control, and the occasional jackpot experience.
One conclusion from Howard's team's research is that no one is truly producing 50 times more high-quality software than before, with actual output showing only marginal improvement.
Howard emphasized that his criticism of AI programming does not mean AI is useless; the biggest current problem is the difficulty of evaluation.
Due to the combined effect of randomness and the illusion of control, individual developers' subjective sense of productivity is highly unreliable, and objective output studies should be relied upon instead.
Diogo previously worked with Jeremy Howard and at Google Brain before joining OpenAI.
6 more timeline events
All Facts (19)
fast.ai founder Jeremy Howard systematized the "top-down teaching approach" and applied it in his deep learning courses.
80%VerifiedIn AI-assisted programming, the time developers spend on communication and correction often exceeds the actual coding time.
75%Verifiedllms.txt was formally proposed by Jeremy Howard (founder of fast.ai) in 2024; websites place a Markdown-format file at the path /.well-known/llms.txt to describe the site's core content.
65%Verifiedllms.txt is an emerging website standard proposal, similar to robots.txt but specifically targeting AI crawlers, written in Markdown format.
65%Unverifiedfast.ai, founded by Jeremy Howard and Rachel Thomas, advocates a top-down learning approach in which learners first build working models using high-level APIs before delving into underlying principles.
60%UnverifiedJeremy Howard proposed the llms.txt proposal at llmstxt.org on September 3, 2024, and the proposal's original wording states that it is primarily intended for inference rather than training.
50%UnverifiedThe llms.txt draft was published by Jeremy Howard in 2024, and has since been partially adopted by vendors such as Anthropic and Cloudflare, but it has not yet become an industry standard, and mainstream models have not publicly committed to reading it.
50%UnverifiedDue to the combined effect of randomness and the illusion of control, individual developers' subjective sense of productivity is highly unreliable, and objective output studies should be relied upon instead.
50%UnverifiedHoward believes that the AI programming process has the characteristic of 'loss disguised as a win': random outcomes, a sense of control, and the occasional jackpot experience.
50%UnverifiedOne conclusion from Howard's team's research is that no one is truly producing 50 times more high-quality software than before, with actual output showing only marginal improvement.
50%UnverifiedHoward emphasized that his criticism of AI programming does not mean AI is useless; the biggest current problem is the difficulty of evaluation.
50%UnverifiedJeremy Howard is the co-founder of fast.ai and a well-known AI researcher.
50%UnverifiedJeremy Howard compared AI-assisted programming to a slot machine, arguing that it is more like a slot machine than a genuine productivity engine.
50%UnverifiedHoward believes that AI programming gives developers an 'illusion of control.'
50%UnverifiedDiogo previously worked with Jeremy Howard and at Google Brain before joining OpenAI.
50%UnverifiedFast.ai was co-founded in 2016 by former Kaggle Chief Scientist Jeremy Howard and University of San Francisco professor Rachel Thomas.
50%Unverifiedfast.ai was founded by Jeremy Howard and Rachel Thomas, adopts a top-down teaching methodology, and developed a same-named Python library that provides a high-level wrapper around PyTorch.
50%Unverifiedllms.txt由Jeremy Howard（fast.ai创始人）于2024年正式提出，网站在/.well-known/llms.txt路径放置Markdown文件描述核心内容
50%Unverifiedllms.txt由Jeremy Howard于2024年正式提出，设计灵感来自robots.txt和sitemap.xml
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