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…that the team discussed shutting the product down. Then coding agents, background agents, and reinforcement learning created new demand. Erik says sandboxes have grown to roughly a third of Modal’s revenue, a result he didn’t predict at…
…application and T3 Code, an interface for controlling coding agents. Y Combinator lists Browne and Mark Florkowski as active founders of the business. At the 2026 AI Engineer World’s Fair closing keynotes, Browne showcased software projects…
…is a big step towards democratizing AI-powered conversational agents. Discover how. Various Technical Debates and Clarifications: Members of the guild engaged in technical discussions around the efficiency of "small to big retrieval," the…
…linking the decision to the team’s expectation that agents would need to communicate with one another. Chu publicly acknowledged that the team had initially got authorization wrong: “We fixed Auth”. At the time of the talk, the correction…
…delight and revenue while the company focuses research on AGI/agents (“reality is nuanced”) (@sama), later reflecting on the surreal experience of a feed full of himself (@sama). Strategic take: OpenAI is turning frontier models into sticky…
…experimented with asynchronous off-policy RL involving multiple agents and multi-turn tool use. Redwood Research used Tinker to reinforcement-learn Qwen3-32B on difficult AI control tasks. On December 12, 2025, Tinker removed its waitlist…
…data handling. Deploying HuggingFace Models as LangChain Agents: HuggingFace models can be integrated as Agents in LangChain, facilitating advanced chat and text generation tasks within development workflows. Local Deployment Strategies…
…would be limited. After Llama 3, he said he would return to agents, with interests in planning, backtracking, web navigation and code execution. He presented these as research directions, including the possibility of training models to…
…subscription-based access. AI Engineer delves into Autonomous Agents: An AI & Full-Stack Engineer is actively exploring autonomous agents, voice AI, and multi-agent frameworks, using tools like LangGraph, CrewAI, and AutoGen. They are…
…speech generation, and the Gemini Live API for realtime voice agents. His work includes teaching developers to build with AI audio and demonstrating how speech generation fits into application infrastructure. He previously worked on…
…and sell models, Agent Labs primarily research and sell agents. Differences between Model Labs vs Agent Labsnecessary disclaimer: not all agent labs will check these boxes, but I believe they will converge on these best practices over time …
…future directions rather than committed product generations. Agents also changed the query workload. In March 2026, Eskildsen described a shift from one retrieval call before a model response to a single agent issuing many searches…
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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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