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this up: 94% of respondents said they use LLM-based AI for work tasks. The most common uses were looking up the meaning of unfamiliar words or phrases, translating sentences or paragraphs between English and Korean, and revising English drafts. That raised a question: “What if our English questions to AI were automatically turned into quizzes we could review later—would that actually improve our English?” That question led our research team to build LingoQ. LingoQ follows a simple flow—ask AI a

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able 1, adding future context (+f) yields a higher AUROC than the original detection methods in most settings. With LLaMA 3.1 as the detector, for instance, the direct method’s average AUROC rose from 68.9 to 71.1, and self-contradiction (SC) improved from 65.7 to 70.8. This shows that future context is a meaningful aid in judging a sentence’s factuality. Weighing how a sentence carries into the following context—rather than analyzing it in isolation—makes hallucinations easier to identify. Figu

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ction. That effectively assumes a large cluster densely wired with ultra-fast interconnects like NVLink. So in settings where GPUs are spread across many servers or resources are fragmented, this approach can be inefficient or simply infeasible. MERIT (Merge-Ready Instruction Tuning), the method introduced in our paper, tackles both problems at once. The core idea is surprisingly simple: “Before you merge datasets, first split them well.” MERIT first analyzes the relationships between datasets,

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titch them together into like a big file, which you can literally just read,” he says. Imagine a movie script that says “between second zero and second 15 a character is riding a dragon." Now you can ask your video editing agent to "find me a 15 second clip where a girl is riding a dragon" and get an answer in seconds instead of spending an hour scrubbing through footage. The art of making AI predictable One of the trickiest challenges was making the system feel reliable despite AI's inherently

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indings via Beamcoder and copied the decoded frames into WebGL as a custom texture. This resulted in two extra memory copies that effectively limited us to 720p playback on the average computer, and made exporting 4K video much slower. A single frame of decoded 4K video takes 33 MB of memory, and at 30 frames per second, that’s nearly 1GB per second. With WebCodecs we can decode the frames, composite and process them, and encode to a final file all within GPU—much faster! In practice, our users

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ingle-shot tool calls. It’s trained to browse the web (including multimodal browsing), and use an agentic harness to: spawn and coordinate subagents for decomposable work; and leverage computer use capabilities unified across desktop, mobile, and browser. It’s trained on long-horizon, multi-site tasks, and generates separate commentary that lets the model state intent before acting—so you can always know what it’s doing and why. Why Helion kernels? Helion is a PyTorch native kernel authoring lan

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MVE (aka Helium) M55, M85 128-bit vector ops, beat-based execution High-performance MCU ML inference Arm Helium technology is where the biggest performance gains are. CMSIS-NN leverages Helium’s beat-based execution model to pipeline data movement and compute, providing significant throughput gains for the depthwise and pointwise convolutions common in edge ML architectures. That said, the same workflow targets all variants. The target configuration selects the appropriate backend automatically.

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from @AssemblyAI is now live on OpenRouter Speech-to-text through AssemblyAI's Sync API. Compared with Universal-3.5 Pro: - 30% fewer errors on short conversational utterances - 12% fewer errors on average across supported languages - Better recognition and formatting of phone numbers, addresses, emails, and codes - 14 new languages: Korean, Catalan, Galician, Russian, Romanian, Estonian, Persian, Afrikaans, Marathi, Cantonese, Zulu, Urdu, Xhosa, and Norwegian Nynorsk Try it now at only $0.30/hr

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sion in modern media ecosystems. Articles authored by Luca Ren are AI-generated and reviewed by Unite.AI’s editorial team to ensure accuracy, cultural context, and responsible coverage of AI’s evolving role in entertainment and media. Discover More Sachin Katti Leaving OpenAI Compute Role to Build Something New; Anthropic Adds OpenTelemetry Trace Export to the Claude Platform; Baker Lab Designs AI Proteases That Cleave Disease-Linked Proteins; Square Launches Flagship Kiosk With Agentic AI Voice

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such as audience research, building news sites, and drafting content. The testers found that Claude reliably refused a single harmful request but could miss a malicious campaign fragmented across many individually benign-looking requests. Building on those findings, Anthropic said it added classifiers to identify novel and multi-step misuse, including attempts to build fake social media accounts and news sites aimed at political discussions or to run financially motivated election schemes. It a

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issections of pigeon, chicken, quail and duck embryos at six developmental stages, then used to predict accessibility across a 363-species bird alignment. The poster reports an average prediction accuracy, measured as area under the receiver-operating curve, of 0.863 within species and 0.848 across species. A phylogenetic regression between predicted accessibility and beak-length measurements drawn from VertNet across the 363 species found 210 of 293,686 tested open chromatin regions significant

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danach läuft es autark. Siri AI braucht eine Verbindung zu einem KI-fähigen iPhone oder iPad nur, wenn sie auf den persönlichen Kontext des Nutzers zugreifen soll. Für allgemeine Fragen und zur Musikwiedergabe ist keine Kopplung nötig. Druck auf die EU Die neue Siri AI ist zwar in einigen Ländern bereits auf Englisch verfügbar, befindet sich aber noch im Beta-Stadium. Die Verknüpfung mit verschiedenen Apps und die Abstimmung mit Cloudanfragen müssen sich im Alltag erst bewähren. All das braucht

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f industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations. LATEST STORIES Agentic AI puts the CPU back in play as Dell pitches 13-to-1 server refreshes; Exclusive: Huskeys adds Profiling to map which parts of web applications a busine

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ice as such,” Narendra said. “That is the promise and the premise which we built our portfolio with.” Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the AI Data Pipeline Forum: ( Disclosure: Dell Technologies Inc. sponsored this segment of theCUBE. Neither Dell Technologies Inc. nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE Support our mission to keep content open and free by engaging with theCUBE co

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Authors Shaun Sutner Shaun Sutner, a journalist with more than 25 years of daily newspaper experience and 12 years at Informa TechTarget as an editor and writer, directs news coverage for AI Business. He was previously a senior news and features writer covering health IT and HR software at TechTarget and a senior news director overseeing coverage of AI, business analytics, data management and government tech regulation. Sutner's newspaper career included investigative reporting and covering the

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nts for the Westminster-based company behind ChatGPT show that 110 staff shared £87m in salaries and £168m in shares last year OpenAI’s London staff each received £2,318,181 on average last year, as the ChatGPT-maker poured Premier League football salaries into its bid to dominate the global AI race. Accounts for OpenAI UK Ltd, which is based in Westminster but is opening a new HQ in London’s King’s Cross area, showed that 110 staff shared £87m in salaries and £168m in shares in the company, whi

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il Saunders, who has tracked Kroger’s turnaround under Foran, told Fortune. “If spread across various products this kind of investment would take only cents off the price of an average basket,” he said. The effect could be bigger if Kroger continues to concentrate the savings on the products and categories where value matters most to shoppers—which Saunders expects it to do. These job cuts are also only a piece of a wider push to run more efficiently, which he said makes them important in the bi

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nearly all of my interactions with the app, which is why it’s so exciting to see Google making some big changes here. This month’s changelog suggests any “instability” seen while dragging and dropping tiles across your Favorites view has been smoothed out, and as someone who has absolutely given up on trying to manage that page in the past, I couldn’t be more grateful. Of course, if you prefer controlling your lights or speakers with voice commands, you’ll know it’s Gemini that really needs some

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aces first in AA-Robotics v0.1 with a score of 69, followed by GPT-6.1 Sol, Gemini 4 Argon, Claude Opus 5.5 and Claude Fable 5.1. GPT-6 Astra took 30 minutes and cost $16.36 on average per task. AA-Robotics Score Each attempt is scored out of 100: completing the task scores 100, and a partial result earns points for the progress made. The eight tasks AA-Robotics v0.1 initially includes eight tabletop tasks, modeled on everyday activities, to evaluate a range of robotics capabilities: control and

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ernel. Torvalds has previously been skeptical of AI-generated code but has gradually become more positive about the technology. During the Open Source Summit Europe conference in Prague, he recently shared that he has gained a new perspective on it. “I used to think the technology just wasn’t very good. But now I’ve reached a point where I really enjoy using AI,” Linus Torvalds said at the time. This article originally appeared on Computer Sweden. More from this author news briefThe EU is invest

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