Jeremy Howard
PulseAugur coverage of Jeremy Howard — every cluster mentioning Jeremy Howard across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
Jeremy Howard's 'atom everything' concept gaining traction in AI discourse
Jeremy Howard's ideas, as highlighted by Simon Willison's compilation, touch on 'atom everything' in the context of AI, Python, and open-source. This suggests a growing interest or a specific framing he is promoting within the AI community that warrants tracking for further development and adoption.
Jeremy Howard to publicly advocate for specific AI safety protocols beyond recursive self-improvement
Jeremy Howard has recently been vocal about AI safety, specifically concerning recursive self-improvement and the responsible use of advanced models. Given his engagement with Anthropic's Fable 5 release and his past work with Eric Ries on Answer.AI, it's plausible he will expand his public discourse to include other AI safety mechanisms or ethical guidelines in the near future.
Answer.AI to announce a new product or research initiative within 60 days
Jeremy Howard's co-founding of Answer.AI with Eric Ries, coupled with Howard's recent high-profile discussions on AI safety and development strategies, suggests potential activity from their joint venture. It's reasonable to hypothesize that Answer.AI may be preparing to launch a new offering or research focus, leveraging the expertise of both co-founders.
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AI assistants rarely read `llms.txt` files, log analysis shows
A review of web server logs from GoodBarber revealed that the `llms.txt` file, intended for AI systems, received only 26 requests from AI assistants out of 1,321 total requests over four months. Of these, only four requ…
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Agent-readable websites require four layers: readable, discoverable, callable, payable
To make websites accessible to AI agents, four layers are needed: readable, discoverable, callable, and payable. The readable layer involves providing a Markdown version of each page, which is significantly smaller than…
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AI Engineer Roadmap: 12 YouTube Videos for World-Class Skills
A list of 12 YouTube videos has been curated for aspiring AI engineers aiming for world-class status by 2026. The selection covers fundamental concepts like Large Language Models (LLMs), transformer architecture, and to…
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New llms.txt file aims to guide AI chatbots on website content
A new file format called `llms.txt` has been proposed to help AI chatbots understand website content more effectively. Unlike `robots.txt`, which controls search engine access, `llms.txt` provides clear, plain-language …
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AI agents prioritize source code over docs for library integration
A developer has discovered that AI coding agents prioritize reading source code, specifically the `__init__.py` file, type hints, and tool schemas, over traditional documentation websites when learning a new library. Th…
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Blog adopts .md URLs for AI efficiency, cutting file size by 96%
A blog has implemented a system where appending ".md" to any article URL provides a raw Markdown version of the content. This significantly reduces file size, making it more efficient for AI agents to process and reduci…
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New 'llms.txt' convention offers curated site maps for AI crawlers
An llms.txt file is a plain Markdown file hosted at the root of a domain, designed to provide AI crawlers with a curated map of a website's most important pages. Proposed by Jeremy Howard, the file aims to offer languag…
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Fireworks AI claims inference infra matches Opus 4.8 and GPT-5.5
Fireworks AI has released a new inference infrastructure that is reportedly as capable as Anthropic's Opus 4.8 and OpenAI's GPT-5.5. The company is highlighting this performance in its recent social media posts. This de…
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GLM-5.2 emerges as top open-weight AI model, rivaling GPT-5.5
The open-weight language model GLM-5.2 has garnered significant attention, with multiple sources indicating it performs comparably to frontier models like GPT-5.5 and Anthropic's Opus 4.8. This model features architectu…
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Anthropic adds transparency to Fable 5 AI downgrades
Anthropic is enhancing transparency for its Fable 5 AI model following criticism regarding silent downgrades of certain user requests. The company will now visibly indicate when requests are downgraded or rejected, part…
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Howard: Top AI labs must avoid using their best models for research
Jeremy Howard proposes a method to slow AI's recursive self-improvement by having the top-ranked AI lab refrain from using its best model for frontier research. He contrasts this with Anthropic's approach, which he argu…
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Lean Startup author Eric Ries discusses mission-driven companies
Eric Ries, author of "The Lean Startup," is discussing his new book "Incorruptible," which explores how organizations can maintain their mission over time and resist "financial gravity." He shares insights from companie…
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Simon Willison Shares AI & Open Source Insights from Karpathy, Evans, Howard
Simon Willison has compiled a series of quotes from prominent figures in the AI and open-source communities, including Andrej Karpathy, Julia Evans, Andrew Singleton, and Jeremy Howard. These quotes, shared via Mastodon…
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Anthropic's Claude Fable 5 release sparks AI governance debate
Anthropic has released Claude Fable 5, a powerful new AI model with "Mythos-level" capabilities, but its rollout has been met with controversy. The model includes safeguards that invisibly limit its effectiveness for ce…
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Anna's Archive guides AI crawlers with llms.txt
Anna's Archive has introduced an `llms.txt` file to guide AI crawlers away from its main website and towards bulk data endpoints. This initiative aims to reduce server strain from CAPTCHA-breaking bots and potentially g…
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Jeremy Howard warns against over-reliance on AI agents
Jeremy Howard, associated with fast.ai and answer.ai, argues that an over-reliance on AI agents will lead to human obsolescence. He believes that outsourcing cognitive tasks to computers prevents individuals from develo…
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Technical writer shares strategies for building an audience through AI content
Technical writer Hamel Husain shares strategies for building an audience, emphasizing authentic engagement with others' work and consistent content creation. He advises developers to add value to existing discussions an…
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Eugene Yan builds web apps with FastHTML, Next.js, and SvelteKit
Eugene Yan details his experience building a web application using various modern frameworks, including FastHTML, Next.js, and SvelteKit. He compares their developer experiences by implementing the same data manipulatio…