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2103 results
Vector search remains useful. The question is whether it needs a separate database—and how retrieval should fit the application’s data, quality requirements, and workload.
Software developer and creator of the T3 Stack, building AI chat and agent-development tools and arguing that AI expands what individual developers can attempt.
Anthropic’s MCP product manager in 2025, explaining protocol trade-offs, task-oriented tools, and opportunities for server builders.
OpenAI’s Codex leader on practical coding agents, the shift toward broader computer work, and keeping users’ understanding intact.
From Cicero’s unusual moves to coding agents and multi-agent learning: what extra reasoning buys, and why objectives, experience and elapsed time still matter.
Thinking Machines Lab develops models, managed fine-tuning tools and interfaces for continuous human–AI collaboration.
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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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