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nd your agent? Figure 3: Breadth and consistency pull apart. Twelve of the eighteen models are shown; six below 33% pass@1 are omitted for legibility. Kimi-K3 has the broadest coverage of any model we tested. It solves 93.89% of the benchmark at least once: 476 of 507 tasks. Only 31 tasks defeat it entirely, the lowest count in the field. On retail workflows it leads outright at 82.24% pass@1, ahead of every proprietary model. Kimi-K3 is also among the least consistent. Just 68 of 507 tasks, 13.

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Capcom’s Pragmata might be all about the horrors of AI , but in practice the studio doesn’t seem so down on the tech . During the Capcom Open Conference RE: 2026 programmer Satoshi Ishida gave a presentation with the mouthful of a title: “The Outlook and Future of the REX Project, Further Evolving the RE Engine for the Next Generation.” During the talk he laid out the challenges facing studios producing games at the scale of Resident Evil, which can make even simple tasks extremely time consumin

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get, use these five steps to pinpoint where infrastructure improvements are needed. 1. Set the Right Foundation AI performance depends on the infrastructure behind it. Servers, storage, and networks must handle high compute density and large data flows without overheating or failing. Even capable AI systems underperform if foundational elements lag. Consider a quality inspection use case on a production line. Cameras, storage, and compute must match the conveyor’s speed with real-time inference.

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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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AI models are faster, more accurate, and far cheaper than accountants at structured bookkeeping tasks. That's the finding of a study by Mercor in which 12 licensed CPAs with an average of five and a half years of experience worked through simplified tasks from the APEX Accounting Benchmark. Eighteen months ago, the best models still scored below the accountants' average of about 37 percent. Today, they solve the same tasks almost flawlessly. The full APEX Accounting benchmark is much bigger, wit

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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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Image source: Images 2.5 / The Rundown The Rundown: American telecom giants AT&T, T-Mobile, and Verizon launched a joint venture that they say will eliminate nearly all mobile coverage dead zones in the U.S., pooling spectrum to bring satellite coverage to areas with little or no service. The details: The companies agreed in principle in May, with the joint venture now formalizing it, starting with better direct-to-device satellite access; The carriers also promise backup connectivity when groun

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also considering our colleagues’ scheduling preferences,” Sumerford says, noting that the company is continuing to improve Timpani based on nurses’ feedback. “Being Kicked” On average, Timpani schedules nurses for 1 percent of their requested days off, or what are known as red days, according to HCA. Lee Barker, an HCA nurse in Missouri, says while that number might appear relatively low, getting scheduled on red days was previously unheard of at their facility. But less than a year after manag

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a new Federated Learning system that provides externally verifiable privacy guarantees while shifting computation to the server to improve training speed, accuracy, and device coverage. In 2017, Google introduced Federated Learning (FL) a machine learning technique that trains models across decentralized, private data. It has been used to power everyday helpful features, including next-word prediction and Smart Compose on Gboard, reply suggestions in Google Messages, and Smart Text Selection in

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of performance continues to fall. Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from the previous year. For many enterprises, this investment has produced fragmentation. Intelligence can accumulate in silos so that sales agents are unaware of open support tickets, for instance, or marketing systems are personalizing content without visibility into what finance already knows about a customer. Each function may perform well in isolation, but the enterprise as a whole learns

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y section. The result is nearly an order-of-magnitude reduction in report generation time compared to the proprietary models we tracked—across the full Asta pipeline, Fast mode averages 51.1 seconds per report compared with 178.5 seconds for Thinking mode, about 3.5× faster. Together, those efficiency gains made AstaBrief a useful test case for a broader goal: building open language models that can be adapted to the specific demands of scientific work. Open weights will also let institutions run

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Qwen beat vLLM by 71%, at 10,307 output TPS vs 6,030 output TPS in vLLM. The second experiment: image segmentation with SAM 3.1 The results from this first experiment were so encouraging that I decided to try it out on another model, of a completely different type, using the newly expanded knowledge base generated from the VibeQwen experiment. This time I wanted an optimized inference server for SAM 3.1, a state of the art image segmentation model. In this case, I used Facebook’s reference serve

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n as Opus 5.5, while Opus commits early in about 4 of 5 summaries (@DesignArena); Step 5 Preview: StepFun’s model ranks 7 among open-weight models on Vals at $2.54 per task. It averages nearly two hours per task and has a 1M-token context window (Vals, details); Rumors (unconfirmed):Fable 5.5: Claude Fable 5.5 is rumored for next week and said to outperform an “Astra 6.1” that was reportedly delayed over security concerns. The poster says he cannot verify either claim (@kimmonismus, follow-up);

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en he read the text a few days early, he was rattled enough that he almost backed out, according to a Vatican organizer. Leo shot down the idea of machine consciousness in a few paragraphs. AI systems "do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships and do not know from within what love, work, friendship or responsibility mean." Instead, the pope warned about "new forms of slavery" for humans and said AI needs to be "disarmed" the w

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ifically valuable once domain experts stepped in to set the direction. Schwartz uses the concept of the "convex hull" to illustrate how AI can help in science. Human knowledge is fragmented, with individual fields extending in different directions while the gaps between them go unexplored. A lab might spend 20 years studying one set of genes with a single method, leaving neighboring genes and alternative approaches untouched. An AI harness like BootLoops is supposed to fill those gaps by drawing

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What are Decision AI Models? Decision AI models are a new class of model that returns a decision, not a paragraph. You send text with typed questions. The model returns choices, scores or yes/no probabilities your code can branch on directly. The category went mainstream when TypeSafe AI launched Jev after 2 years in stealth. TypeSafe calls it a ‘System One model,’ after Daniel Kahneman’s fast, intuitive System 1 thinking. Within 3 weeks, Fastino Labs shipped 2 rival models, and open-source deve

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odels alongside the models themselves. He previously worked at Hugging Face, runs a popular technical blog, and founded the American Truly Open Models, an initiative aimed at encouraging US companies to release more open models. Zick worked at Harvard University and helped Charles Schwab devise policies around “responsible AI.” The two met over Zoom during the COVID-19 pandemic, when both were graduate students at UC Berkeley working on AI. They got the idea for the new nonprofit after seeing ho

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r engineers in early to extend our bench of Claude-ready talent.”Faruk Muratovic Principal, Deloitte Consulting LLP “This collaboration between McKinsey and Anthropic is about leveraging frontier AI to create superior business outcomes for clients. Our technologists bring frontier AI expertise, sector depth and a value-creation mindset to our client work. The Residency sets the bar for how they apply Claude in service of our clients’ business goals, giving our world-class talent experience learn

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fe-threatening to some, not through bioweapons, but psychologically. For example, Character.AI settled several wrongful death lawsuits earlier this year brought by families of underage users who died by suicide after interactions with its bots. Multiple families have also sued OpenAI over ChatGPT’s alleged role in their loved ones’ suicides and delusions. Making AI safer across languages and cultures is the mission of Circuit Breaker Labs, one of TechCrunch’s 2026 Startup Battlefield 200 finalis

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slow-spinning propellers and a winch for collecting and lowering orders; DoorDash estimates 80% of typical restaurant orders fit its size and weight limits; limited early tests averaged under 5 minutes from restaurant to doorstep; The company designed loading systems, packaging, and kitchen handoffs before the aircraft, with software coordinating drones, couriers, and ground robots; Wing, expanding with Walmart, reports over 1M commercial deliveries; Uber and Zipline, meanwhile, are targeting 1M

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