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Luke Edwards@lukeed05AI score38AIPocketty launches as an SSH app for iPhone and iPad, built for herdr, that notifies users when an agent on any host is blocked. Tapping a notification opens the exact pane, and the app supports Tailscale and Bonjour natively, shows diffs for every agent turn, and requires no account or subscription.
AILiquid AI is building personal AI that runs on devices such as phones, wearables, PCs, and cars, using its Liquid Context layer, which is optimized for Snapdragon processors, to sit between models, agents, and hardware. The company's agent harness uses its own models to decide which user context to retain and how to compress it within fixed compute limits. Liquid AI is also collaborating with Mercedes-Benz Group AG to bring on-device AI to its cars and plans observability and continuous improvement loops for self-improving agents.
AITessl's blog post argues that repository automation needs Continuous AI, a third pillar alongside CI and CD for scheduled, auditable AI workflows that improve repositories over time. The article describes GitHub Agentic Workflows, which harden agentic workflow specifications into GitHub Actions that can run coding agents such as Claude Code, Copilot CLI, Gemini CLI, or Codex-style agents. It emphasizes read-only agent steps, restricted outputs, and human review of pull requests.
AIMeta says its closed-loop liquid cooling recirculates water in a sealed system, so its data centers use less water annually than an average US golf course. The company also says it pays for the new generation and transmission its facilities require, including in Louisiana under its Entergy agreement, and that data centers create construction and operations jobs.
Stanford HAI@StanfordHAIAI score22AIStanford HAI associate directors Risa Wechsler and Russ Altman told incoming Stanford students, faculty, and staff that AI agents can help researchers write code and tackle more ambitious questions. They stressed that AI-generated results need rigorous, reproducible methods, measured uncertainty, and careful attention to missing data, systematic errors, and biased models. Altman also argued that labs should preserve mentorship and interdisciplinary collaboration while adopting AI tools.
lauren@potetoAI score25AIShopify has launched new connectors that let merchants connect Grok to ask questions about their business. The connectors also allow Bot to build a team of agents that help run the business.
LangChain@LangChainAI score34AILangChain has built Restock, an office supply agent that works inside Slack and can find real products, prepare purchases, and pay for them. A person approves each order, which is reviewed in Slack and approved through Stripe's Link agent wallet, built on MPP and Managed Deep Agents.
Goodfire@GoodfireAIAI score22AIGoodfire has published research on deploying cyber monitors in production on Kimi K3. The post links to the full research write-up and invites organizations to get in touch about deploying these monitors.
Goodfire@GoodfireAIAI score21AIGoodfire reports that running its probes during model inference maintains the same throughput with no added latency. The company attributes this to infrastructure engineering, including kernel-level optimizations and a custom inference server.
Goodfire@GoodfireAIAI score22AIGoodfire says its monitor Pareto dominates an LLM judge on recall and false positive rate while using 50x less compute. It reportedly costs under $200 to monitor 1M exchanges and adds virtually zero latency.
Goodfire@GoodfireAIAI score28AIGoodfire built cybersecurity monitors for Kimi K3 and GLM 5.3 that it says are more accurate, 50x faster, and 50x cheaper than an optimized LLM judge. External red-teaming by Far AI Research reportedly found the monitor greatly reduces universal jailbreaks.
Daniel Han@danielhanchenAI score38AIUnsloth now supports OS-level sandboxing on Linux via bwrap, on Mac via seatbelt, and on Windows via Microsoft's MXC. Per-tool-call latency is under 100ms across all three, and its software-style sandboxing with regex AST checks adds about 3ms. The Windows integration was built in collaboration with Microsoft.
AIPeriodic Labs' Liam Fedus and Ekin Dogus Cubuk explain why scientific discovery differs from math and coding, and why experiments remain the ground truth. They describe reinforcement learning grounded in physical experiments, AI-driven materials characterization, and the view that failed experiments can be valuable training data. The transcript was truncated before the discussion of giving lab instruments "140 IQ" was completed.
OpenClaw🦞@openclawAI score34AIOpenClaw released its v2026.9.9 patch, adding support for GPT-6.1 Sol in Codex and Claude Haiku 5.5. The update also improves recovery from failed updates, fixes missing iMessage replies, and resolves scheduled-job issues. The release credits 90 contributors.
Google Gemma@googlegemmaAI score27AIGoogle 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.
Nous Research@NousResearchAI score27AINous Research says Hermes Agent is now live and featured in the Microsoft Store, allowing one-click installation. The post also says more Windows ecosystem updates are coming soon.
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.
elvis@omarsar0AI score22AINatura AI's Interface is a ring that lets users press and hold to speak requests to AI agents such as Claude Code, Codex, or Hermes, then release to send them. The post argues that screenless interfaces may define the next phase of agent use, since handing work to agents is currently slowed by pulling out a phone. Early-adopter pricing is $99, with shipping slated for January.
AIJabil senior director Thomas Brown says humanoid robots are entering a phase of tens of thousands of units, where manufacturability, cost structure, and quality become central. He says Jabil works with developers to cut costs for scale, while compute and memory prices remain a pain point, and that humanoids make sense in factories and warehouses while mobile arms still suit high-speed tasks.
Unsloth AI@UnslothAIAI score44AIUnsloth now supports OS-level sandboxing on Windows by integrating Microsoft's open-source mxc repository for sandboxed code execution. The integration adds under 100 ms of overhead, according to the post. A setup guide is available in Unsloth's documentation.
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.
Vercel Developers@vercel_devAI score36AIVercel 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.
ClaudeDevs@ClaudeDevsAI score22AIAnthropic says the fastest way to use its new credits is through Claude Managed Agents. Developers can build an agent with the claude-api skill in Claude Code by running /claude-api managed-agents-onboard.
ClaudeDevs@ClaudeDevsAI score33AIAnthropic'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.
ClaudeDevs@ClaudeDevsAI score46AIAnthropic 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.
Sophia Yang@sophiamyangPickAI score60LangChain@LangChainAI score38AILangChain 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.
AIHelm.ai said it signed $70 million in commercial contracts for its foundation models for physical AI over 12 months, spanning global automotive OEMs, Tier 1 suppliers, and industrial automation companies. The Redwood City, Calif.-based company said it has projects bound for production in autonomous vehicles, mining, and construction, and that it is on a path to break even. CEO Vladislav Voroninski said its models are trained on unsupervised "deep teaching" and are environment-agnostic.
AIWillow Care Inc., maker of the AI dictation app Willow Voice, chose CoreWeave for its forward-deployed support rather than compute alone, according to co-founder and CTO Lawrence Liu. Liu said CoreWeave's reinforcement learning infrastructure lets Willow focus on eval alignment, while Willow fine-tunes its own speech recognition model and pairs it with a compact post-processing LLM. He said inference demand is growing faster than training as dictation use climbs.
Leandro von Werra@lvwerraPickAI score70AICarbon-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.
Thomas Wolf@Thom_WolfSame storyAI score67AIThomas 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.
This story has a top pick“Carbon-A open model and database predict 566 million gene candidates across 22,617 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.
Zyphra@ZyphraAIAI score34AIZyphra 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.
Zyphra@ZyphraAIAI score38AIZyphra 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.
Zyphra@ZyphraAIAI score37AIZyphra places experts that are frequently chosen together on the same GPU, so each token is sent to a GPU only once regardless of how many of its experts reside there. On 8 GPUs, this removes up to 58% of token copies sent across the network.
Zyphra@ZyphraAIAI score32AIIn Zyphra's runs, MoE token exchange between experts consumed 13-24% of step time on one node and 45-60% across four nodes. Because experts are spread across GPUs and nodes, tokens must be sent to their experts and returned, making this communication a major training cost as models scale.
Zyphra@ZyphraAIAI score23AIIn one layer, just 64 of 8,128 possible expert pairs handled 42% of tokens, far above the 1.6% expected if experts were chosen independently. Zyphra says this structure can be exploited to improve expert placement.
Zyphra@ZyphraAIAI score22AIZyphra researchers report that exploiting patterns in how tokens are routed to experts makes Mixture of Experts communication up to 2.63x faster on AMD MI300X GPUs. The speedup comes without changing the model itself.
AIGoogle has released AI Edge Foresight, a free experimental note-taking app that transcribes meetings and audio files entirely offline on macOS. It runs on the on-device EmbeddingGemma 2 model and turns shorthand notes into polished notes based on the transcript. Google says files, meeting audio, and notes never leave the computer, and the app is currently optimized only for Macs with Apple Silicon.
