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Developer and founder of Command Code whose AI work focuses on learning coding preferences and composing agents from infrastructure primitives.
A practical account of coding agents: how they use tools, recover from errors, reuse workflows, and turn human feedback into completed work.
Video generation, segmentation with memory, faster detectors, and the challenge of teaching small models to see precise details.
Statsbot’s early Slack interface exposed two problems: understanding a question and understanding the data. Cube’s semantic layer separated them—and foundation models reopened the conversational side.
Part 3 of 3: the closing exchange of Latent Space’s conversation on NVIDIA’s AI engineering.
Andreessen Horowitz combines technology investment with operating support, experimental developer tools, and analysis of AI businesses across models, applications, and physical infrastructure.
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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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