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A materials-discovery company integrating AI, atomistic simulation, and robotic laboratories to design and test new materials.
Chemist and materials researcher combining machine learning, physical simulation and experimental data, and Lila Sciences’ chief scientific officer for physical sciences.
Retrieval-augmented generation connects a language model to external information. Its central engineering problem is choosing evidence that helps the model answer—and checking that the answer actually uses it.
LlamaIndex’s early evolution shows why connecting language models to data requires more than a larger context window.
Rahul Sonwalkar, known publicly as Rahul Ligma, founded Julius AI to help people use code for data analysis without having to write it themselves.
Railway is a cloud deployment platform expanding from application deployment into agent-driven app building and release control, supported by its own compute 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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