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ClaudeDevs@ClaudeDevsOfficialAI score20AIAnthropic's ClaudeDevs advises keeping Claude Code mods private or submitting useful ones to the Claude directory. Mods run with the same machine access as Claude Code itself, so users should install only mods from trusted sources.
Harrison Chase@hwchase17XAI score22AIHarrison Chase says model routing is a provocative term that lacks a clear definition, but offers a practical approach. His four steps are to understand tasks, understand the models, build the router inside the harness, and track outcomes, aiming to lower costs without a performance hit.
Google Workspace@GoogleWorkspaceOfficialAI score32AIGoogle Workspace says Sheets canvas can turn static spreadsheet data into interactive tools such as Kanban boards, dashboards, and visual workflows from a simple prompt. Derek Snyder, Director of Product Marketing for Google Workspace, demonstrates the feature in the latest AI Boost Bite video.
Prime Intellect@PrimeIntellectOfficialAI score12AIExtropic designed the tasks and reward, while Prime Intellect supplied the RL infrastructure, including verifiers for environment construction, Hosted Training for the RL loop, and Prime Sandboxes for executing model code. Prime Inference serves the LLM judge and frontier baselines in the same workflow.
Prime Intellect@PrimeIntellectOfficialAI score32AIExtropic post-trained Qwen3.6-35B-A3B with Prime Intellect for thermodynamic ML research, nearly tripling its held-out eval results in about 100 GRPO steps. The team built a custom RL environment with verifiers and trained on Hosted Training, Prime Sandboxes, and Prime Inference. This let Extropic avoid managing multi-node GPU infrastructure and focus on research.
Zyphra@ZyphraAIOfficialAI score26AIZyphra published a paper and blog explaining how local mixing encodes relative position in global NoPE attention models. The work, titled "How Local Mixing Encodes Relative Position in Global NoPE Attention," is available on arXiv and on Zyphra's website.
Lewis Tunstall @ COLM 🌉@_lewtunXAI score44AIHugging Face shows that training LFM2.5-2.6B with RL inside the agent harnesses themselves lifted held-out task success from 42% to 54% across four harnesses. Before training, the model solved 62% of tasks in Mini-SWE-Agent but only 33% in Claude Code, so the same model behaved very differently per harness. The approach uses an OpenEnv capture proxy to record tokens and logprobs, Harbor for tasks and sandboxes, and TRL's async GRPO trainer, with 31% fewer tool calls on already-solved tasks; training in OpenCode alone mostly improved OpenCode.
NVIDIA AI@NVIDIAAIOfficialAI score23AINVIDIA announces that developers can build visual AI agents from a prompt using NVIDIA Cosmos and VSS 3.3. The post is a broadcast announcement that links to a live stream and provides no further technical details.
AICloudflare released Clef and Clef-flash, two decision models hosted on Workers AI and open-sourced on Hugging Face under Apache 2.0, and launched a reinforcement learning fine-tuning service. In Cloudflare's tests, Clef classified a domain in 2.2s versus 4.7s for gpt-oss-120b, and the models are Jev-API compatible. The company is offering fine-tuning first through a forward-deployed engineering team, with a self-serve platform planned later.
Hamel Husain@HamelHusainXAI score25AIHamel Husain advises against building automated evaluators for every failure mode discovered during AI development. He argues that teams should weigh the costs of different evaluator types, such as code-based checks versus LLM judges, before building an eval.
merve@mervenoyannXAI score4AIHugging Face's Merve Noyan says the company already offers four video series on YouTube for viewers who want to learn how to do it. She links to one playlist in the post, but the post does not specify which topic the series cover.
merve@mervenoyannXAI score22AIHugging Face's Merve Noyan promoted a four-chapter YouTube series teaching viewers how to train AI agents using only open-source tools. The post links to the series' first video and is a brief call to learn agentic training.
Khazix@Khazix0918XAI score13AIKhazix says he used AI to customize a pixel clock so it mirrors all Claude Code states on his computer, including parallel sessions. He adds that Claude produces far better visual design than Codex, which he finds ugly.
Allie K. Miller@alliekmillerXAI score5AIAllie K. Miller argues that people can change how they use AI within one weekend by abandoning three habits: prompting, typing, and relying on a computer screen. The post offers no specific tools, products, or steps beyond these three directives.
MiniMax Design (H3)@Hailuo_AIOfficialAI score9AIOne of the most stylish H3 MVs yet. 👺🔥🧠
AIPhysicist Matthew Schwartz describes building BootLoops, an open-source harness for exact quantitative calculations, after choosing problems suited to Claude's strengths. He reports that Claude solved long-standing integrals and found connections across ecology, population genetics, economics, and linguistics, with domain experts steering results toward questions those fields care about. The post states that the approach required constant human oversight, since Claude often overstated results and misjudged time.
Why it matters: The guest post explains why scientists often find current AI tools frustrating and offers a method for finding problems where AI and researchers match, backed by concrete projects.
AIManus 2.0 introduces Video Editor, which lets users refine videos Manus generates, including changes to music, captions, and cut timing, without regenerating the entire video. The article describes Manus creating explainers, launch films, and animations from a single prompt, drawing on web search, video models such as Seedance 2.5, and code for motion graphics.
AILangChain built a model router inside its open source coding agent Open SWE that picks one of three models for each thread. In an A/B test against always using GPT-6 Astra, the median cost per thread fell 64% with no measurable change in merged PR rate. The router runs on the thread's first message, using a base prompt, per-tier criteria, and a classifier model, and the post lists next steps including subagent routing and mid-thread re-routing.
Hamel Husain@HamelHusainXAI score4AIHamel Husain posted a short thank-you emoji reply to Lance Martin's update on an evaluation skill for Claude. Martin says the latest skill now instructs Claude to build a viewer for eval examples, but it does not walk users through the data first, which he agrees could help them prioritize which evals to write.
Hamel Husain@HamelHusainXAI score38AIHamel Husain has published a longer review of a new Claude Auto Eval plugin after many users asked about it. He invites readers to share their experiences using the plugin and how it went for them. The plugin is part of Claude's ability to help build evaluations and hillclimb on them, as described by @ClaudeDevs.
Google Flow@FlowbyGoogleOfficialAI score38AIGoogle Flow publishes a guide to creative prompting with Gemini Omni Flash, covering video generation for films, marketing, and visual assets. The guide recommends high-level constraints, first and last frame visual anchors, tagged image, video, and storyboard ingredients, and granular mid-scene pacing edits. It also suggests transferring style and motion from reference images and videos.
NVIDIA AI@NVIDIAAIOfficialAI score12AINVIDIA announced a livestream tomorrow at 9 a.m. PT in which it will build a visual AI agent from a single prompt. Viewers are invited to bring their questions to the session.
Fireworks@FireworksAI_HQOfficialAI score34AIFireworks AI has made GLM 5.3 Flash available for training through its Serverless Training API, open to all users. The model supports both vision and text inputs. Fireworks says it performs well on its benchmarks for agentic coding, document analysis, and tool use while remaining cost-efficient to serve.
Google Cloud Tech@GoogleCloudTechOfficialAI score28AITerminal test runs miss multi-turn agent regressions, so Agent Clinic Episode 3 builds an automated eval suite for a LangGraph agent in 60 minutes. The post presents a four-step framework for moving from informal checks to benchmarking AI agents, with a link to the full guide.
Google Cloud Tech@GoogleCloudTechOfficialAI score4AIGoogle Cloud Tech promotes a Medium article titled "How to run open models in the cloud without going broke." The post contains only a link and no further details about the methods, models, or costs discussed.
Google Cloud Tech@GoogleCloudTechOfficialAI score15AIGoogle Cloud recommends limiting accelerator count to a single GPU, setting replica count to 1-1, and avoiding capacity reservations to keep monthly bills predictable. These strict hardware limits apply to auto-scaling configurations for AI workloads.
Google Cloud Tech@GoogleCloudTechOfficialAI score7AIGoogle Cloud recommends Spot VMs for developer and agent testing workflows that tolerate interruptions and do not need continuous uptime. Spot VMs use spare Google Cloud compute capacity at deep discounts.
eric zakariasson@ericzakariassonXAI score36AICursor's Eric Zakariasson shared a game-builder skill he has been using to build games with new models. The skill can be installed with the command npx skills add ericzakariasson/skills --skill game-builder.
NVIDIA AI@NVIDIAAIOfficialAI score40AINVIDIA says a single prompt can build and deploy a visual AI agent for a manufacturing line in under 30 minutes, with alerts, video search, and incident reports. The method uses the new Build Vision AI skill in NVIDIA VSS Blueprint 3.3, and a tutorial is available for readers who want to build one.
Cognition@cognitionOfficialAI score16AICognition posted a link to a customer story about how Crosby Legal uses Devin, showing the approach the firm took. The post itself gives no further details on the results, workflow, or figures.
Ant Ling@AntLingAGIOfficialAI score31AIAnt Ling can convert plain-language prompts into standalone, interactive Three.js pages covering topics such as an internal combustion engine, an optical-disc reader, paramecium organelles, and vector-field divergence. The output is runnable code rather than just an explanation.
Ant Ling@AntLingAGIOfficialAI score38AIAnt Ling reports that its Ling-3.1-flash model completed a roughly 20-hour Rust port of a C image library. After a performance regression caused by busy-waiting workers and a parallelism adjustment, the model recovered and reached an 8.015× speedup. All 30 correctness checks passed.
NVIDIA AI@NVIDIAAIOfficialAI score27AINVIDIA and Nous Research published a hands-on walkthrough of NVIDIA NeMo Relay for collecting traces from Hermes Agent. The guide runs two example scenarios and shows the agent's calls and retries in Arize Phoenix. It also covers how Nous used traces and task results to evaluate fixes across repeated runs.
AIAgentic data science has AI agents explore datasets, choose modeling approaches, run analyses, and explain findings while data scientists frame questions and verify evidence. In an experiment, Claude Opus 5.0 given the vague prompt "Build me a model to detect fraudulent nodes" on a modified Elliptic Bitcoin dataset reported F1 0.87 and ROC AUC 0.99 using a random split that leaked a planted label proxy.
Google Gemini@GeminiAppOfficialAI score14AIGemini now lets users save custom skills to reuse instructions across tasks. The post suggests using them to outline presentation slides and prep Q&A, draft emails in a personal voice with Google Workspace context, and explore three to five perspectives on a topic.
Google Gemini@GeminiAppOfficialAI score36AIGoogle Gemini now offers skills, which are saved sets of instructions for specific tasks you repeat often. The post describes them as shortcuts that let users skip repetitive prompting and go straight to results.
Ideogram@ideogram_aiOfficialAI score25AIIdeogram 4.5 turns a single room photo into a design canvas where furnishings, finishes, and palettes can be swapped one edit at a time. The room's architecture stays unchanged throughout the edits.
Ideogram@ideogram_aiOfficialAI score20AIIdeogram recommends restoring an old photo in stages: first remove scratches and damage, then add color, then enhance. The post says trying to fix everything in a single prompt rarely works, so multi-turn editing lets each edit be refined separately.
AIGoogle Cloud introduced GKE Agent Substrate, an open-source execution runtime it says can run millions of sandboxes with 10x higher density than standard container runtimes. It also made GKE Agent Sandbox optimized for reinforcement learning generally available, alongside an orchestration SDK and native RL gym integrations. Google said GKE Pod snapshots can reduce AI inference start-up by as much as 89%, based on internal tests.
NVIDIA AI@NVIDIAAIOfficialAI score20AINVIDIA announced a new approach to building edge AI through agentic development on NVIDIA Jetson, presented in a broadcast. The post provides no further technical details, figures, or availability information.