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Sourcegraph co-founder and Amp co-founder whose work on AI coding tools emphasizes code context, transparency, and reliable automation.
How evolutionary clues, generative models and inference-time search support molecular design—and why useful predictions still have to survive experiments.
Part 4 of Latent Space’s NeurIPS 2023 recap closes with the common ingredients of attention-free models, their remaining bottlenecks, and the different demands of interactive responses and bulk processing.
Part 2 of Latent Space’s Q2 2024 recap examines the infrastructure agents need, the work customers will pay for, and the possibilities and limits of ChatGPT’s early advanced voice mode.
Brushes, database columns, and inspectable programs show how interface design can turn language-model capabilities into useful, controllable work.
AI engineer and RiskAngle cofounder whose documented work includes coding-agent integrations and guidance on preserving reasoning during tool use.
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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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