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2093 results
Claude’s SWE-bench reference agent shows how much depends on tool design. Computer use and robotics extend the lesson to integration cost, reliability, and trust.
Part 2 of the OpenAI DevDay 2024 conversation moves from voice interfaces and application-specific evaluation to Cosine’s software-engineering models, then to planning products around unpredictable research advances.
Part 3 of Latent Space’s OpenAI DevDay 2024 coverage explores deployment safety, agent reliability, product discovery, internal workflows, and the gap between generated code and useful software.
Part 1 follows realtime voice from database lookups to a 400-strawberry order, then explores evaluation-driven model improvement and o1-assisted application development.
Modular connects asynchronous execution, compiler fusion and Mojo’s Python-oriented language design to a common goal: making new computations easier to express without giving up hardware performance.
Singapore’s AI strategy connects workplace adoption, practical skills and compute access—with distinct roles for government, employers and engineers.
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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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