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Step Code is built for strong task completion without wasteful token use. On Terminal-Bench 2.1, it passed 72/89 tasks (80.9%), tying for the highest pass rate among the harnesses in our evaluation while using fewer tokens than the other tied leaders. On Multi-Frame, it passed 110/150 tasks (73.3%) and averaged 5.09M tokens/task—the highest pass rate and lowest token use among six harnesses evaluated.

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d 5f55650a7 , release b10200, Metal backend from ggml 0.18.0), run as llama-bench -m -p 0 -n 128 -r 3 , which reports tg128 : the token-generation rate over 128 decoded tokens, averaged across three repetitions, with prompt processing excluded. The transformers column is generate producing the same 128 tokens from a 12-token prompt, best of three warmed runs, and it includes prefill. Measured on a MacBook Pro M2 Max, 32 GB unified memory, macOS 26.6, PyTorch 2.12.1, kernels 0.17.0, plugged in. F

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METR quantified the difference. In their work, 4 maintainers reviewed 296 AI-generated pull requests (PRs) from 3 SWE-bench Verified repositories. Maintainer acceptance scores averaged 24.2 percentage points below automated benchmark scores. In their own words: “many SWE-bench-passing PRs would not be merged into main.” To apply benchmarks to real work, we need to establish what a score measures, how closely the evaluation reflects the intended work, and whether better performance produces a us

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METR quantified the difference. In their work, 4 maintainers reviewed 296 AI-generated pull requests (PRs) from 3 SWE-bench Verified repositories. Maintainer acceptance scores averaged 24.2 percentage points below automated benchmark scores. In their own words: “many SWE-bench-passing PRs would not be merged into main.” To apply benchmarks to real work, we need to establish what a score measures, how closely the evaluation reflects the intended work, and whether better performance produces a us

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Technical Blog sessionStorage.removeItem('facets.search.text'); sessionStorage.removeItem('facets.search.text-copy'); sessionStorage.removeItem('facets.search.filters'); Sep 21, 2026 NVIDIA TensorRT multi-device inference enables a single TensorRT network to execute across multiple GPUs using NCCL-backed distributed collectives while retaining TensorRT inference optimizations, fully supported starting with TensorRT 11.0. NVIDIA Dynamo-Triton release 26.07 enables the TensorRT backend multi-devic

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it documents with ChatGPT Procrastination has met its match. ChatGPT is now in Word. You can add ChatGPT to Microsoft Word to turn rough notes into first drafts, untangle tricky paragraphs, proofread, and get suggested edits—all without leaving your document. It can even spot formatting issues. Which… pic.twitter.com/cRCgHeTr8V— ChatGPT (@ChatGPT) September 17, 2026 これまでChatGPTのMicrosoft OfficeアドインはExcel、PowerPointに対応していたが、Wordでも利用できるようになった。アドインをインストールすると、WordのサイドパネルからChatGPTを起動でき、Wordから離れることなくC

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s use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effects of genetic mutations. But these models are often expensive to run, potentially limiting their impact. In our latest Science Blog, we share how Claude was able to optimize inference for more than 30 open-source models, making them 4x faster on average, partly by writing custom software for GPUs. We’re open sourcing all of the optimization code.

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and browser use, with Baseten managing execution and orchestration. Our acquisition of Blaxel accelerates the complementary foundation: fast, isolated, persistent sandboxes and storage where developers can run their own agentic workflows and tool execution.. Our goal is to bring together the models and tools developers need to build high performance AI products and make the entire system production-ready. Baseten Grounded Inference is available in playground preview with lowered rate limits (25

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and browser use, with Baseten managing execution and orchestration. Our acquisition of Blaxel accelerates the complementary foundation: fast, isolated, persistent sandboxes and storage where developers can run their own agentic workflows and tool execution.. Our goal is to bring together the models and tools developers need to build high performance AI products and make the entire system production-ready. Baseten Grounded Inference is available in playground preview with lowered rate limits (25

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Mac VMs , enabling end-to-end iOS development and debugging from Slack or the web UI; @jkelleyrtp adds that Devin is now a cloud agent spanning macOS, Windows, and Linux , with storage, networking, VNC, and computer-use infrastructure rebuilt in Rust. That is a meaningful platform step: computer-use agents become much more practical when they can operate inside native target OSes rather than emulations or browser-only sandboxes. MCP continues consolidating as the integration layer : LangChain an

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l be able to validate the accuracy of their new custom business logic on past traffic Inside the detection pipeline Agent Anomaly Detection balances detection speed, cost, and coverage. To strike that balance, it analyzes traces and logs in layers: a lightweight first pass scans all traffic to surface statistical anomalies and flag those sessions for further analysis. Then, an LLM-based reasoning layer deeply examines the flagged sessions. To make that concrete, take the example of an Inventory

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. Facebook Plus is adding customization options for Messenger, offering more Reels insights, and expanding super reactions to Reels and Feed posts. WhatsApp Plus will soon test storage for chat and media backups and Focus Schedules, which help you protect the time that matters most by muting or hiding chats on a schedule. Meta One goes even further with Core and Premium bundle plans, which combine the features from our single product plans with more usage of some of our most compute-intensive AI

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, stage, and close date, for the seller to review. Review pipeline and share forecasts. A seller can ask for a pipeline view and Claude builds an interactive dashboard showing coverage by stage, deals most likely to slip and why, and drill-down by account. From the dashboard, a seller can tell Claude to move a close date or change a stage, and Claude updates the record in Salesforce. Dashboards can be shared with leadership or the team, and Claude can draft the forecast narrative in the format l

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, stage, and close date, for the seller to review. Review pipeline and share forecasts. A seller can ask for a pipeline view and Claude builds an interactive dashboard showing coverage by stage, deals most likely to slip and why, and drill-down by account. From the dashboard, a seller can tell Claude to move a close date or change a stage, and Claude updates the record in Salesforce. Dashboards can be shared with leadership or the team, and Claude can draft the forecast narrative in the format l

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more than 155,000 speakers; Amplify Initiative: We teamed up with more than 1,600 local experts and 20 universities across four continents, including Brazil’s UFMG, India’s IIT Kharagpur, and Uganda’s Makerere University, to contribute 15,000 multimodal data points capturing local nuance We’re also building on our work prioritizing open-source language innovation through our new tool Language Explorer. It’s an interactive tool that visualizes LinguaMeta, the world’s largest open-source language

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ion on virtually any topic. Whether a user is looking for the score of a football game, tips for planning a vacation, or the best local coffee spot in a new city, Siri AI will leverage information from across the web to deliver helpful, accurate answers. Users can extend almost any response from Siri into a rich conversation and ask follow-up questions. And users can take advantage of Siri AI anywhere across the system. In addition to saying “Hey Siri,” iPhone users can invoke Siri with the side

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n. We saw this when we replaced Opus 4.8 with Fable 5 as the lead. Fable nominally costs twice as much per token. But with the same sidekick, Fable-led sessions cost 9% less on average, while scoring higher on FrontierCode. Fable delegated earlier and gave better briefs, while Opus micromanaged the sidekick and redid much of its work. The same principle applies to the sidekick. Using a stronger model like SWE-2 instead of a smaller model like GPT-5.6 Luna doesn’t substantially increase overall c

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Compute turns it into a reference image that can’t be altered. Why it matters: Every iPhone Apple announced starts at $1,199 or more, while the Duo climbs to $3,199 with 2TB of storage. Bloomberg says Apple absorbed some of the Duo’s rising memory costs to hold the entry price at $1,999, even as higher-storage versions carry unusually steep premiums. Image source: iStock / CalMatters The Rundown: California just passed one of the country’s toughest packages of online child-safety laws, putting h

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eir most used settings. Both models are powered by A20 Pro and feature a next-generation vapor chamber for the highest sustained performance yet, while updated battery designs leverage powerful silicon efficiencies to deliver incredible battery life. Featuring iOS 27 with the next generation of Apple Intelligence and Siri AI, an entirely new version of Siri, iPhone 18 Pro models bring powerful AI capabilities together with personal context to become an intelligent personal hub with privacy and s

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mizer update, giving an effective batch of batch size x gradient accumulation steps. Details in the docs . At Together, we believe that intelligence should be abundant, and we leverage all available systems and algorithmic optimizations to provide the most value to our customers. We continue optimizing our training stack and want to transfer any cost reductions to users. Hence, we are dropping the prices of training for most of the models we support, with savings starting from 30% and reaching 7

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