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…loop and data-generation approach had signal, but neither its context capacity nor its capabilities supported useful engineering performance. Fine-tuning GPT-4 with an 8K window helped despite the smaller context. A 128K window finally…
…Anthropic because of Claude Code and says his work combines engineering, teaching and user feedback. His human-computer interaction background informs the question tool: some people want an agent to act immediately, while others benefit…
…from AIE Europe in London, swyx identifies OpenClaw, harness engineering, and context engineering as leading priorities. His conference tracks reflect that judgment, alongside recurring work on evaluations, observability, compute…
…to a frontend opening and joined around August 2022, combining engineering with product design. After ChatGPT launched, her manager challenged her to reproduce a similar interface in two weeks. Nguyen identifies that challenge as the origin…
…internals. In the Latent Space conversation, Taylor describes engineering as the mindset behind his corporate and board roles; even as Salesforce co-CEO, he coded on weekends. His route to Google was less calculated than hindsight suggests.…
…GPT API directly. ChatGPT and Copilot hide some controls and context limits that application developers need to understand. His free introductory email course, Latent Space University, proceeds through API basics; prompts, tooling and…
…will an organization actually put to work? Swyx proposes AI engineering as a route for countries outside the US to participate without financing a $100 billion compute cluster. That distinction between building frontier capability and…
…OpenAI. Competition also raises expectations for GPT-5. Long context—the capacity to accept more input at once—and multimodality increasingly look like baseline capabilities to one participant. A new flagship would have to match competitors…
…that an assistant like the one in Her requires both device engineering and AI engineering: hardware can capture context that software alone does not receive. That host discloses an investment in Tab, whose proposed advantage is unique…
…100–1,000 targeted instructions as a possible intervention. Context compression makes this concrete. A long-running agent such as Claude Code must shorten its history while retaining information needed for subsequent work. Summary quality…
…from on: the phrase having me on slightly favors a podcast context. Gratitude supplies another clue. The graph associates thanks with an interview or podcast context, suggesting an experiment: remove or reverse the gratitude and see whether…
…produce an unfamiliar person’s exact birth date. Historical context may support only an estimate. - Choosing a strategy: GPT-4.5 is described as drawing a tic-tac-toe board and making legal moves while still making strategic mistakes. The…
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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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