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…The Big Lebowski script doesn't quite fit within the GPT-4 context limits normally, but after passing the text through myln, it does! GitHub - FranxYao/Long-Context-Data-Engineering: Implementation of paper Data Engineering for Scaling…
…AI-content work, MacCloy built data systems and led software engineering organizations. His personal account dates his advertising-technology work to 2006–2010, notably at Quantcast, involving auction systems, automatic audience…
…501GB of memory. Agent Tooling, Frameworks, and Infrastructure Context Engineering and LangGraph: LangChain released a detailed guide on "Context Engineering," a key part of agent building, including popular patterns and how to implement…
…and maintains that primary system. He describes autoresearch as engineering the latter: choosing feedback signals and evaluations that help agents improve the system and make architectural decisions. His practical advice is to filter…
…Vals Index with 2x the speed of Fable 5.1, adding specs of 1M context, 128k output, and pricing of $10 / $1 / $50 per million tokens input/cached/output (details). Artificial Analysis’ updated index later ranked Astra just behind Fable 5.1 …
…founding president, described his work on AI software engineering through Devin in an interview with Jason Richards. Previously, he led Scale AI’s machine-learning organization and worked on Tesla Autopilot. His decision to work on…
…Latent Space turned one today. It's (of course) the #1 AI Engineering podcast, hit #10 in the generalist U.S. Tech podcast charts, and crossing 1 million unique readers on our Substack. Alessio wrote a great reflection and we hosted a great…
…the preceding year, when 4K tokens was the commonly understood context limit. Vanilla transformers’ quadratic scaling with context length looked prohibitive for the million- or ten-million-token workloads he imagined. The interviewer raises…
…& Developer Tooling: “agent harnesses”, DeepAgents, Cursor context, MCP everywhere LangChain DeepAgents + “Ralph Mode” (infinite loop agents with filesystem memory): Multiple posts converged on a pattern: stop “stuffing everything into the …
…whose OpenAI work developed a concrete practice of harness engineering: shaping the context, tools, constraints, and feedback around an AI agent so it can complete work reliably. He helped build an internal product under a prohibition on…
…delightfully told onstage, which recaps all the highs: To the engineering audience, it was more sober, talking about the unprecedented levels of security incidents (60x more reports than curl, at least 20% of skill contributions malicious) …
…concerns the whole system. Proteins interact in a biological context, and a prediction of a shape is distinct from a model of dynamics, function or a designed intervention. He argues for connecting molecular models to larger systems while…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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