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…and a Medium post titled "Can 7B Models Now Master AI Agents?". The system includes training data and benchmarks. Latent Space Discord Summary Announcement of new fine-tuned model, CodeNinja, from OpenChat by @beowulfbr. CodeNinja…
…should let you supervise the process, not just the output of AI Agents, and how they reinvented the Notebook to help revolutionize Systematic, Transparent, Unbounded Academic Research Latent.Space
…threats posed by open AI models being turned into "sleeper agents." Chatbot Performance Issues: @technot80 and @heyitsyorkie commented on performance and speed issues with ChatGPT4, specifically when using the gtpshop function, likening the…
…break under dozens to hundreds of concurrently running code agents: stale worktrees, diverged review state, environment setup overhead, and poor state synchronization. His proposed replacement stack combines virtual shallow checkouts, jj,…
…in a notebook right. opposite of autonomous dispatching of sub agents. this is not an intellectually honest description of whats going ... Tweet from Chris Albon (@chrisalbon): “No yapping” is a pro-level prompt engineering strat, you…
…development by creating an account on GitHub. How Do Agents Make Decisions?: no description found OpenAI ▷ #gpt-4-discussions (103 messages🔥🔥): ChatGPT's Context Limits Stir Frustration: @orbart expressed disappointment with a perceived…
…coding agent with a developer-preview SDK for embedding custom agents, connecting tools, streaming progress, and resuming sessions. Launch details came from @finkd, with follow-ups on the SDK and monthly plans; @alexandr_wang amplified the …
…training recipe/data rather than architecture overhaul: @rasbt. Agents, harness engineering, and “local agents” momentum (Hermes/OpenClaw + model/harness training loops)Open-models-as-agent-engines is now mainstream positioning: Multiple…
…If you are keen on developer productivity and what’s new in SWE agents, apply today. The new GPT-5-Codex launches today, capping off perhaps the most intense month of vibe shifts in Coding Agents in recent memory (click to expand): For a…
…of MCP. Christina [00:05:44]: Yeah, yeah. So we built the agents SDK and we launched that alongside the responses API in early March. And I think as MCP was growing, that felt like a really and, you know, we’re building kind of a new…
…their thread. LangChain echoed the same shift with a new Deep Agents course and an open-source harness project in posts from @LangChain and @hwchase17. Google is also productizing this direction: Gemini API Managed Agents added background…
…the early days of LLMs. They were great chatbots but terrible agents, as small errors compounded rapidly into uselessness. As LLMs got better, the usefulness of agents rapidly improved. Evan and Sergey argue that their models at Genesis…
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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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