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Part 1 follows developers from simpler conversation APIs and custom GPTs to tool execution, expressive speech, and the unresolved engineering questions behind vision.
Part 2 of Latent Space’s DevDay recording explores conversational programming, managed retrieval’s limits, plugin migration, and Zapier’s move from chat actions to scheduled assistants.
A June 2023 developer roundtable on native function calling, cheaper inference, and the decisions application code still needs to control.
The March 2025 launch conversation explains why Responses became a new API, how its tools compose, and how handoffs and traces could support better agents.
Alex Atallah and Anjney Midha on model distribution, inference competition, fusion, and the security challenges of a growing token economy.
Anj Midha’s case for a compute grid begins with idle accelerators and expands into a theory of frontier labs: pool resources, reduce coordination losses, and let the mission determine what to build.
Part 3 moves from writing before the experiments are settled to the environments that shape research judgment, then closes with an argument for building AI ecosystems around experienced technical contributors.
Liam Fedus and Ekin Doğuş Çubuk explain how uncertain measurements, simulation and lab automation fit into materials discovery.
Better context and stronger models turned a search product into a coding assistant. Specialized training promised more control over cost and capability; consistent correctness remained the harder problem.
Applied Intuition connects autonomy models to the engineering that makes them usable: sensor supervision, reliable operating systems, validated simulation and inference that fits the machine.
Better images are only part of the problem. Playground’s ambition connects model quality, precise editing, visual control, and feedback from people making things.
Josh McGrath on the engineering behind reinforcement learning, efficient agents, and useful long context, in a conversation at NeurIPS 2025.
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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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