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Part 5 of 5 examines why reversing a learned fact differs from reversing one supplied in a prompt, then explores how DSPy optimizes language-model programs—and why it still needs a useful evaluation metric.
Part 1 of Latent Space’s conversation with Yi Tay follows the path from general-purpose model research to Reka, where research judgment meets the difficulty of keeping rented compute running.
Building video models, preserving history, and combining generation with reasoning and editing tools: a reading edition of the Latent Space conversation with Ethan He.
Boltz co-founder and CEO whose research spans molecular docking, generalization to unfamiliar protein pockets, and open biomolecular interaction models.
Galileo develops evaluation models, observability tools, and guardrails for generative AI applications and agents.
Y Combinator’s president and CEO advocates AI-native companies and shares gstack, his workflow for organizing AI-assisted software development.
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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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