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From oversight experiments to reusable notebooks, Elicit builds research workflows whose steps can be trained, checked, and scaled.
An open language-model researcher whose SmolLM work connects small-model training, reasoning and practical reuse of intermediate checkpoints.
xAI cofounder and historical OpenAI co-chair whose Tesla autonomy plan paired fleet learning with a public argument about deployment and validation.
Neo4j co-founder and CEO advocating graphs, shared ontologies, and persistent context for AI systems.
Economist and data science leader whose work at Stripe spans payments foundation models, agentic commerce, and the practical decisions behind AI adoption.
Anthropic interpretability researcher and machine learning author who builds tools for tracing model computation and testing internal mechanisms.
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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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