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ra . The PC comes in two base models, one that starts at $2,600 and one with a more powerful chip that starts at $3,700. Prices rise from there with options for more memory and storage, up to $5,900. (Microsoft says the highest-end device is already out of stock.) Microsoft also revealed its new workstation powered by the RTX Spark chip: the Surface RTX Spark Dev Box, which starts priced at $6,000 and comes equipped with Microsoft dev tools like VS Code, GitHub Copilot CLI, WSL, and PowerShell 7

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cAI is now in the Arena. Head to Agent Arena to test it out, scores coming soon! In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. Claude Haiku 5.5 is also available in Code Arena: WebDev, Text, Document and Vision.

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p Ultra , its new laptop that’s powered by Nvidia’s RTX Spark Arm-based chip. The machine will start at $2,599 for a configuration with an 8-core CPU, 24GB of RAM, and 512GB of storage, and it will be released on October 16th. The laptop also has built-in magnetic USB-C charging instead of the proprietary Surface Connect magnetic charging port. The Verge ’s Tom Warren published a deep dive all about the new laptop . Microsoft also announced that the Surface RTX Spark Dev Box, a mini PC for devel

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program, we work with participating secret issuers to build out detectors and report public exposures so they can respond. In Q2 2026, public scanning successfully reported an average of 26 credential matches a second, including repeat observations. Once notified, a large number of these partners immediately revoke the token: OpenAI API keys, Google Cloud account credentials, Slack webhooks, Hugging Face user tokens, SendGrid keys, etc. The owner may still need to replace the token, but revocat

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e sample level causes rollouts that produce more samples to be counted repeatedly, which alters the original statistical relationships at the rollout level; Loss normalization: Averaging loss by sample count gives more weight to rollouts that produce more samples. Since sample count is often just a product of harness behavior, loss normalization must also avoid being distorted by it; Training backend scheduling: Sample count and length are known only after the harness finishes, while GPU counts

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that lets you “create, play, and share” browser-based games. The goal is to “make game creation more approachable and ignite everyday creativity.” This Google Labs experiment leverages Gemini, Nano Banana, and Lyria models with a “custom harness to make game creation more accessible.” It starts with a chat interface that lets you “direct the game just by typing what you want to build.” You can decide between a 2D or 3D game and specify whether it’s single or multi-player. Google offers starter

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zing Resource Allocation in Hyperscale Datacenters. How the Specification Layer Works The spec language has 3 layers: Modeling constructs: dimensions (attributes such as CPU or storage), partitions (groups of objects), scopes (groups of bins) and utilization; Expression API: aggregate utilization with SUM or MAX, or transform it with operations such as SQUARE; Spec API: dozens of predefined objectives and constraints, listed in the docs Meta’s example models tasks as objects, servers as bins and

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. During video or in-person meetings, this notetaking app listens in the background so that you can just “scribble shorthand bullets for things you want to remember.” The app, leveraging EmbeddingGemma 2, “enriches [that shorthand] into polished notes using the meeting transcript instantly.” The transcript and audio are processed entirely on your device rather than the cloud. Another capability lets you “point Google AI Edge Foresight to your project folders, reference materials, diagrams, and c

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, which dictates climate patterns, physical infrastructure, and the ways people live and move. But public health teams frequently grapple with geographic blind spots — as well as fragmented data and reporting delays — whether they’re tracking a fast-moving viral outbreak or projecting cardiovascular mortality. Equipping health leaders with advanced predictive tools can better protect at-risk communities, and help shift emergency response from reactive management to proactive prevention. In new r

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agent apps, too. How Agent Controller works Back in June, we shipped it as Harness. The name made sense at first, but then we thought: if Mastra already provides tools, memory, storage, and the runtime around an agent, isn't Mastra itself a harness? So we renamed it to AgentController to better reflect what it does. How we use it We built Agent Controller by extracting the best parts out of Mastra Code, and then we adjusted it to build the Factory on top of it. The two products use it in differe

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gents and subagents automatically resume from their last exact state; Portability: It runs anywhere with a JavaScript runtime (like Node, Bun, or Cloudflare) and uses pluggable storage backends (Memory, SQLite, JSONL) and flexible remote or local execution environments; Concurrency: A single harness can run multiple parallel, branching conversations—such as a main channel and separate threads—without blocking one another; Extensibility: Developers can bundle custom system prompts, tools, hooks,

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transcription leaderboard. OpenAI published an investigation pinning a July effort to copy its models' hidden reasoning on people tied to China’s Moonshot AI, saying the campaign leveraged 15,000+ accounts before it was shut down. California governor Gavin Newsom signed California's “No Robo Bosses Act,” which requires a human to be in the loop for any firing or discipline driven mainly by AI. 🎓 Highlights: News, Guides & Events That's it for today! ⭐️⭐️⭐️⭐️⭐️ Nailed it; ⭐️⭐️⭐️ Average; ⭐️ Fail

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is that it’ll compliment certain use cases for generative spoken word — such as having a calming soundtrack for poems, or something more energetic for dramatic voiceovers and encouraging speeches. To use the feature, select the “Create” tab, and navigate to the Speech option. There are two modes: Simple, which allows you to describe what you want to create via the provided prompt box (such as “a pirate captain rallying his crew”), or the Advanced mode that lets you add a custom script if you alr

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recommendations to users, but some felt that the proactive recommendations were an overreach, more akin to ads than helpful suggestions. OpenAI said its new shopping features leverage the newly launched ChatGPT Images 2.5 model , which the company claims produces more natural lighting and richer textures, follows editing instructions more reliably, and reduces image generation latency. To start, virtual try-on allows ChatGPT users to upload a selfie or a full-body photo in order to visualize ho

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hile you edit the workflow too. We designed it this way so both of you won’t have to wait for or interrupt each other. Real-time collaboration is fun: Reference another workflow, drag an asset from the library, or mention a node It can understand assets visually; You can watch the graph assemble. Move things and it will notice Every control ComfyUI gives you is still there. Open any node and check every parameter. What creators are making Three creators worked with Comfy Agent ahead of launch. A

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a few open source contributions from perplexity recently: •pplx-decider-v1-27b: SoTA multimodal decision model. 85.7% average across 11 benchmarks, ahead of Jev. •pplx-embed-v2-context-9b-preview: SoTA contextual embeddings, best on ConTEB and turbopuffer context-bench. •Lily: local inference engine for Apple silicon. rust plus custom metal kernels, no pytorch or mlx. 1.23x faster prefill and 1.35x faster decode than MLX-LM on an M5 Max •PII-Tracer: 0.6B on-device PII classifier that decides whe

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e is only part of the picture. Our technical report also documents experiments that informed how we train MoEs and measure their performance. For example: A score intended to encourage balanced routing could improve even as the actual workload became less balanced. We call this failure token gerrymandering . Lowering experts’ learning rates – the size of their training updates – because they process fewer tokens did not improve results in the model family we tested. GPU calculations took differe

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an the hearing aids division. After their time at Bose, Trivedi joined EssilorLuxottica, where he led smart eyewear efforts and worked on the Meta Ray-Ban smart glasses, while Romine went on to serve as COO of hearing care company Audicus. The pair then joined forces to explore the intersection of hearing technology and smart eyewear. Legato Frames can be purchased on the startup’s website or through select eye care providers in the U.S., where they are eligible for coverage by vision insurance.

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des in the fleet constantly poll for new work to do, and our scheduler checks its backlog for eligible work, assigning the work if it fits. There are heuristics around placement, fragmentation, and cost, but fundamentally, the scheduler makes the choice about whether a node should pick up an item on a per-node basis. For multi-node scheduling, a single-node view is not sufficient - the atomic unit for scheduling expands from a single node to N nodes. This meant we had to build an entirely new sc

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han Varma Product at OpenAI Ultrafast is a persistent edge for organizations using frontier AI to quickly respond to incoming information. Companies operating web services can leverage Ultrafast to root-cause and address production outages, preserving customer trust, preventing lost revenue, and saving downtime minutes against their SLAs. And in adversarial, high stakes cyberattacks, Ultrafast is an invaluable tool for security teams who must quickly detect and respond to bad actors to contain c

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