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…Agent frameworks, wallets, and managed RAG LangChain Deep Agents for JS: Deep Agents is now in TypeScript/JS (on LangGraph 1.0) with planning tools, sub‑agents, and filesystem access. The team released production‑quality reference tutorials…
…and test suites provide inexpensive feedback for coding agents, she explained, but passing a test does not establish that a change suits a mature codebase with undocumented dependencies and operational constraints. Her defensibility thesis …
…things, and learn to train your own models. Plus: The future of Agents and why you should sequence your genome! Latent.Space
…without such a journey reduced the team’s velocity. Custom Agents also required product decisions about capability and control. Sachs identified the difficulty of explaining permissions when an agent’s Slack-channel audience differed from…
…"dead on arrival". AI Benchmarks and Evaluations Mixture of Agents (MoA): @corbtt introduced MoA model+FT pipeline that beats GPT-4 but is 25x cheaper. Humans prefer MoA outputs vs GPT-4 59% of the time. New SOTA on Arena-Hard (84.8) and…
…change. Nadella also described building long-running Foundry agents himself. In one example, which he placed in the preceding week, he used Work IQ to build a chief-of-staff agent with persistent memory and then asked it to publish to…
…Agent Based Frameworks and Workflows AWS Framework for AI Agents: @LiorOnAI reports that AWS released an open-source framework that lets you orchestrate multiple AI agents and handle complex conversations, able to be deployed locally on…
…rather than requiring users to write SQL. Enterprise data agents and IBM's 2025 announcement By June 2, 2025, IBM described Seek AI as a New York City-based startup building AI agents to harness enterprise data. Sarah Nagy, identified as…
…when AI hit, it turned into a terminal with integrated coding agents. But the competition among CLI tools has dramatically increased in recent years, including from Claude Code, Codex CLI, and Gemini CLI — three products backed by massive…
…NVIDIA on training infrastructure and evaluation for scientific agents, using NeMo and Nemotron. One concrete deployment problem was preserving scientific evidence during document retrieval: figures, tables, formulas and captions can carry …
…discussion about future developments including Multimodal RAG + agents. The 28B parameter size was particularly celebrated for balancing capability with accessibility. PaliGemma 2 Release - a Google Collection (Score: 56, Comments: 7):…
…of ICLR coverage will focus exclusively on reasoning and agents—the host’s subjective choice for the conference’s biggest topic for AI engineering.
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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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