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…(Anycoder, Yupp, Factory) (@_akhaliq, @yupp_ai, @FactoryAI). Agents, embodiment, and memory architectures SIMA 2 (DeepMind): Google DeepMind unveiled SIMA 2, a Gemini‑powered agent that follows language instructions, plans, takes actions…
…language models by exploiting expanded context windows. AI Agents and Robotics Complexity of building AI agents: @bindureddy notes that only 10% of the work in building AI agents is about LLMs and reasoning, while the remaining 90% involves…
…addressing mixed‑language artifacts and improving Code/Search agents. Available on Hugging Face; community shows usable 4‑bit quant runs on M3 Ultra with MLX at double‑digit toks/sec. See @deepseek_ai, demos by @awnihannun. Apple Manzano: a…
…discussing the effects of OpenAI’s Sora and Gemini 1.5. AI and Agents in Harmony: A vibrant discussion unfolded around AI agents and state machines, referencing resources such as CrewAI and MagickML. The community brainstormed on compiling …
…doc parsing/OCR, 3D grounding, video understanding, mobile agents, long doc understanding, spatial reasoning, and more. Links inside the post by @Alibaba_Qwen. Speech-to-speech: GPT Realtime Mini (OpenAI) is ~7× cheaper than flagship…
…You can opt in/out of email frequencies!AI Twitter RecapCoding Agents: productization, harness design, and “agents all the way down”Coding agents are shifting the bottleneck from implementation to review/verification: Multiple threads…
…advancing the dialogue on AI policy. Diffusion Augmented Agents improve efficiency: The concept of Diffusion Augmented Agents (DAAG) aims to enhance sample efficiency in reinforcement learning by integrating language, vision, and diffusion …
…harnesses, eval infra, Codex “skills,” and observability “Agents and harnesses are fully coupled”: A concrete mental model that’s resonating: Agent = model + prompts + tools/skills/MCP + subagents + memory Harness = execution loop + context…
…cycles (kimmonismus) and broader U.S.–China framing. Coding agents: real adoption, real failures, and the “agentic engineering” playbookCodex + Claude Code momentum (and memes masking real workflow change): A lot of the highest-engagement…
…Research and Applications Google DeepMind's Diffusion Augmented Agents: A new paper from Google DeepMind introduces Diffusion Augmented Agents, potentially advancing AI capabilities in complex environments. (r/singularity) AI outperforms…
…shortcut to make the web more truth-seeking. Rise of Deep Agents and Multi-Agent Systems: LangChain's @hwchase17 released a video defining "Deep Agents" as a combination of a Planning Tool, File System, Sub-Agents, and a Detailed System…
…released a repository with 100+ step-by-step notebooks on AI Agents and RAG, covering chatbot construction to Airbnb agents, according to @LiorOnAI. Industry Analysis Swyx believes the twittersphere is well-calibrated on individual…
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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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