All AI news

AIGoogle Research is presenting EnvHarness, a flexible framework that enables co-evolution between LLM agents and their training environments, at the #COLM2026 Google booth #107 today at 11:00 AM PT. The post notes that static environments limit agent growth, and EnvHarness is described as a plug-in architecture that dynamically reshapes environment behaviors to improve reinforcement learning and adaptability.

AIGoogle Gemma has published a developer guide for EmbeddingGemma 2, with code snippets to help developers start searching beyond text. The post directs readers to the full guide on the Google Developers Blog.

AILauren Tan (@poteto) asks a bot to monitor interesting ways people use Grok Bot on X and send a daily 9am Slack digest. The request also asks for the coolest relevant ideas plus suggestions for improving her workflow.

AIAWS published a reference architecture for running multiple teams on one Amazon SageMaker HyperPod EKS cluster, with each team isolated in its own Kubernetes namespace. The design combines AWS IAM Identity Center for authentication, per-team SageMaker AI domains, HyperPod Task Governance for fair resource allocation, and namespace-level cost allocation for per-team spend visibility.

AIJetBrains has released Mellum2.1, a 12B mixture-of-experts thinking model with 2.5B active parameters, under Apache 2.0 on Hugging Face. Post-training reinforcement learning in real software repositories raised SWE-bench Verified from 2.0 to 47.0, according to JetBrains' self-reported results. Qwen3.5-9B still leads on SWE-bench Pro, GPQA Diamond and AIME, and GGUF builds start at 7.0 GB for local use.

AIGoodfire Research describes probe-based cyber monitors for Kimi K3 and GLM 5.3 deployed on a production inference stack. The probe filters suspicious exchanges before an LLM judge reviews them, reaching about 93% recall at a 5.5% benign-session interruption rate at roughly 50x lower judge cost. In FAR.AI's red-teaming, the monitor reduced universal jailbreaks to zero across 140 tested strategies.

AIVercel says StepFun's flagship Step 5 Preview, built for agentic coding, research, and finance, is now live on AI Gateway. The model offers a 1M-token context window, accepts text and image input, and uses a 600B-parameter mixture-of-experts design with 27B parameters active.

AIAnthropic says Claude subscribers can claim API credits by going to Settings › Billing on claude.ai and linking or creating a Console organization. New subscribers become eligible to claim after 7 days.

AIAnthropic's credits can be used with the Messages API, Claude Managed Agents, and the Agent SDK. They cannot be used for interactive Claude Code sessions, but they also apply in third-party harnesses that accept a Claude API key.

AIAnthropic now provides monthly Claude Platform API credits to Max and Team subscribers: $100 for Max 5x, $200 for Max 20x, and up to $500 pooled for Team. The credits can be used on any Claude model, including in code or third-party harnesses.

AIArena has announced a Series B round co-led by Lightspeed and Khosla Ventures, with participation from Salesforce Ventures, 01 Advisors, Dell Technologies Capital, and Endeavor Catalyst. Existing investors Andreessen Horowitz, Felicis, a16z's AMP, QuantumLight, and The House Fund also supported the round.

AIArena links readers to a full technical report on its blog and to a full rankings page in its Alignment Index. The post itself gives no model names, scores, or findings, so the substance is only in the linked materials.

AIAnthropic is committing $150 million to the Genesis Mission to deepen its support for scientific research and technological discovery. The company also plans to make Claude and its technical support available to more than 15 federal agencies.

AILangChain says developers can now build agents that find real products, prepare purchases, and pay, with a person approving each order. Users request purchases in Slack and approve orders through Stripe's Link agent wallet, built on MPP and Managed Deep Agents.

AIOracle is using ChatGPT Work and Codex to turn specialist knowledge into fast, repeatable workflows across recruiting, engineering, and operations. The source does not provide figures, timelines, or specific results beyond the headline's claim that days of work can take minutes.

AIStepFun's flagship model, Step 5 Preview, is available free for one week through Nous Portal, the platform from NousResearch. The post invites users to try it with Hermes Agent and share what they build.

AIGoogle shared research on what its work could mean for the future of global maternal healthcare. The post links to a fuller write-up but gives no specific findings, models, or figures.

AIBoris Power, who owns OpenAI's account, praised the pace of progress on a result he called remarkable. The context from @0xdoug reports a PR merged and a tightened bound from κ = 2⁻¹⁸² to κ = 2⁻¹⁵, a community effort across contributors.

AICarbon-A is an open model that predicts gene locations directly from DNA, and it has been used to annotate genomes from over 22,000 species. The release includes a database of 566 million gene candidates, about 16 times the gene annotations in the RefSeq dataset. Wet-lab RNA experiments supported 239 candidates missing from RefSeq across cats, Syrian hamsters, chickens, and Arabidopsis.

Why it matters: The source ties an open gene-annotation model to specific wet-lab checks and gene counts, helping readers judge how far its predictions extend beyond well-studied genomes.

AIThomas Wolf says Carbon-A, an open model that finds genes directly in DNA, has been released with a database of 566.34 million candidate genes across 22,617 species. The team reports wet-lab validation of several new genes in cats, chickens and arabidopsis, and RNA evidence for 239 genes missing from reference annotations of common species.

AIAnthropic released Claude Haiku 5.5, raising its OSWorld 2.1 score from 15.7% to 72.4% and supporting a 1 million token context window. The article notes Haiku 5.5 still scores 39.2% on Terminal-Bench 4.0 against Sonnet 5.5's 70.6%, and that prompts above 100,000 tokens are priced higher, so migration costs need to be measured on real workloads.

AIClément Delangue of Hugging Face points users to a Hugging Face Space from Pollen Robotics where they can create a dance for Reachy Mini. The post gives no further details about how the dance tool works.

AIZyphra describes itself as an open superintelligence research and product company based in San Francisco, aiming to build human-aligned AI that helps individuals and organizations reach their fullest potential. The post invites applicants to join the company through its job listings.

AIZyphra has released a blog post and arXiv paper on expert coupling in mixture-of-experts (MoE) pretraining. The post itself provides only links, so the specific findings are not described here.

AIZyphra says its approach is lossless: the same tokens still reach the same experts, with unchanged architecture, routing decisions, and training objective. By reorganizing where experts and tokens live, it reduces the communication needed to perform the same computation.

AIZyphra reports that its MoE training optimizations speed up token exchange by 1.16x to 2.63x and full training steps by up to 1.41x in Megatron-LM on 8 to 64 GPUs. The gains are largest when each token uses more experts and those experts span several nodes.

AIZyphra reports that patterns in model training emerge early enough to be useful and are inexpensive to measure. Using only 4,096 tokens, its placement and routing predictions come within roughly one percentage point of results obtained with 524,000 tokens.