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…his programming problem and having it understand from visual context Reading Clipboard: copies the code, asks for a "one line overview" of the code (This functionality exists in ChatGPT Desktop today) Conversing with ChatGPT about Code:…
…agent. With team follow-ups enabled, colleagues can contribute context to an agent someone else started. One workflow asks the agent to investigate an issue, consult code blame, and tag people who may understand the relevant code. The…
…over proprietary models. Manus focuses on agentic architecture, context engineering, and general primitives like code execution and browser control, emphasizing "agent habitats" as a competitive moat. Discussions around Claude Code…
Dan Fu is an assistant professor of computer science and engineering at UC San Diego and VP of Kernels at Together AI. He leads UCSD’s SandyResearch Lab and works on making machine learning faster through hardware-aware algorithms and…
…memory (@PrimeIntellect). An accompanying essay argues that context limits lead inevitably to swarms (essay). Codex updates: Windows sandbox: A new mode built on Microsoft Execution Containers (MXC) gives faster setup, network enforcement…
…of machine learning systems. That earlier experience provides context for his advice about the engineering effort surrounding a model. Earlier career: ML infrastructure and product design Hershey began his career at Ford, where he started…
…up to 78,451 tokens. Suggestions included setting appropriate context lengths and using specific functions to find max tokens in a dataset. Sharing functions and discussing prompt engineering methods were common themes. Practical advice…
…He argued that good documentation supplied agents with useful context while also improving the experience for human developers. For built-in tools, he described a commitment to stable interfaces while the team updated the models behind…
…and real-world tasks are bundled and lack necessary data and context. Qwen3 Performance on LiveCodeBench: @huybery notes Qwen3-235B-A22B's impressive performance on LiveCodeBench, positioning it as the top open model for competitive-level…
…tools perform identically. Earlier foundations: serverless engineering and SST Before this AI coding work, Raad wrote about serverless engineering and publicly discussed SST’s development. His personal website lists “How AWS Lambda Runs…
…it’s about changing the organizational process for software engineering. Traditionally, you might do product requirements, then design work in Figma, then engineering implementation, and eventually production testing. In the past, these…
…state. Daytona's earlier development-environment work supplies context for that shift: Burazin and CTO and co-founder Vedran Jukic had previously worked on Codeanywhere, and Burazin said experience building its infrastructure later informed…
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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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