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Modal’s co-founder and CEO works on making cloud computation easier to develop and scale. His earlier contributions include Spotify recommendation infrastructure, the similarity-search library Annoy, and the batch workflow engine Luigi.
Engineer and former robotics CTO whose Anthropic work combined minimal agent scaffolding with carefully designed tools, and whose public views emphasize reliability and auditable results.
Learning evolution’s constraints from protein sequences opens a route to structure prediction, molecular design, and discovery. Extending that approach to cells will require new data and experimental feedback.
AI engineer whose work spans NVIDIA Cosmos, Grok Imagine and mixture-of-experts language models, with a focus on interactive video and the language systems behind it.
Featherless AI cofounder and CEO, RWKV research collaborator, and advocate for affordable, multilingual open-model inference.
Applied AI scientist and writer working on reliable LLM systems, evaluation, and recommendations.
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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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