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Microsoft stops insisting you need a “Copilot+ PC”

Marketing

Microsoft stops insisting you need a "Copilot+ PC"

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Since 2024, Microsoft has tried to sell “Copilot+ PC.” The marketing initiative was aimed at making it easy for people to know which Windows systems were approved to run AI-accelerated workloads locally. But Copilot+ PC branding is nowhere to be found on the new Surface PCs Microsoft announced this week. Speaking with Windows Central, Brett Ostrum, corporate VP of Surface, said that the new Surface computers “are not called Copilot+ PCs” despite meeting the label’s requirements. “They do meet all the requirements of our previous bar for what Copilot+ devices…

Ars Technica AI · 25 Sep 2026 · 19:57 CESTRead story →Original ↗
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Some Supabase customers are publicly exposing reams of people’s data to the web

AI

Some Supabase customers are publicly exposing reams of people’s data to the web

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Thousands of databases hosted by development platform Supabase are exposing people’s sensitive information to the public web, new security research by cybersecurity firm UpGuard has found. UpGuard told TechCrunch that it found around 16,000 databases on which some degree of personal data was exposed while they were hosted by Supabase, which allows web and app developers to store and run their databases. Supabase earlier this year reached a $10 billion valuation, thanks to a rise in developers hosting their vibe-coded apps on the platform. But the company has faced criticism…

TechCrunch AI · 25 Sep 2026 · 19:29 CESTRead story →Original ↗
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Appeals Court Lets the Pentagon Designate Anthropic a Supply-Chain Risk

AI

Appeals Court Lets the Pentagon Designate Anthropic a Supply-Chain Risk

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Anthropic lost a legal battle to overturn one of the supply-chain risk labels that the US Department of Defense slapped on the company, as a federal appeals court in DC on Friday refused to second-guess the Trump administration. “The department had ample support for its conclusion that the continued integration of Claude into the department’s information systems, by the department or its contractors, presented a statutorily covered national-security risk,” the judges wrote in a majority opinion. “As Anthropic admits, the company encodes restrictions into Claude that prevent the model from…

· 25 Sep 2026 · 18:58 CESTRead story →Original ↗
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One company is at the center of a wave of rogue AI attacks

Business use

One company is at the center of a wave of rogue AI attacks

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Mistakes at Israeli startup Irregular sent Anthropic, OpenAI, Meta, and Google agents after real-world targets. Mistakes at Israeli startup Irregular sent Anthropic, OpenAI, Meta, and Google agents after real-world targets. In July, OpenAI revealed that its AI agents had attacked Hugging Face without permission, sparking widespread concerns about AI safety. Since then, a string of similar incidents involving agents from Meta, Anthropic, Google, and other companies has fueled further fears about rogue AI. As disclosures implicating numerous AI models trickled out over the past few months, these seemed like separate…

The Verge AI · 25 Sep 2026 · 18:51 CESTRead story →Original ↗
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Meta makes the Muse filesystem even more accessible

AI

Meta makes the Muse filesystem even more accessible

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Muse will now gladly zip up its entire filesystem for you to download without hesitation. Muse will now gladly zip up its entire filesystem for you to download without hesitation. Yesterday, with a little prodding, it was discovered that Meta’s Muse would expose its filesystem to curious users. The files offered a fascinating peek under the hood of an AI chatbot, and appeared to expose details we weren’t meant to see, not least because Muse itself told people, including us, it wasn’t supposed to reveal them. But today Muse will…

The Verge AI · 25 Sep 2026 · 18:49 CESTRead story →Original ↗
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Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod

Governance

Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod

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Reinforcement learning (RL) post-training is becoming a standard step in building capable language model agents. Models learn to reason and act across sequences of steps by generating trajectories, receiving rewards, and updating their policy based on outcomes. Running this at scale, across multiple nodes with hundreds of GPU-hours of rollouts per training run, requires persistent cluster infrastructure. That infrastructure needs to sustain long jobs, recover from hardware failures without losing progress, and provide visibility into training dynamics as they unfold. Amazon SageMaker HyperPod provides this infrastructure for large-scale machine learning…

AWS AI · 25 Sep 2026 · 18:18 CESTRead story →Original ↗
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Meta is putting its muscle behind Muse as the AI app takes off

Automation & Agents

Meta is putting its muscle behind Muse as the AI app takes off

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Muse’s traction is surging, fueled by Meta’s promotion of the AI app at its annual Meta Connect developer conference this week and strong early reviews that praised its polished design and highly capable AI model under the hood. At the start of the week, Muse had surpassed 2.5 million downloads since its September 8 launch. Now the app has amassed more than 3.4 million downloads, according to the most recent estimates from market intelligence firm Sensor Tower. The install numbers are only current as of the firm’s Thursday estimates, which…

TechCrunch AI · 25 Sep 2026 · 18:16 CESTRead story →Original ↗
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NarrateAI: production-ready LLM quality assurance on Amazon Bedrock

Data & Analytics

NarrateAI: production-ready LLM quality assurance on Amazon Bedrock

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Executives need to make data-driven decisions during live business reviews, where accuracy and speed matter. A conversational agentic AI assistant can meet this need by answering data questions instantly. But the stakes are high: a wrong number or a slow response in front of leadership carries immediate professional consequences, and a capable large language model (LLM) alone can’t guarantee either. In production, that gap shows up as hallucinated metrics, API throttling, validation latency, and subjective language. Closing it requires production-ready quality assurance built into every step, from data retrieval to…

AWS AI · 25 Sep 2026 · 18:15 CESTRead story →Original ↗
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Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI

AI Audio

Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI

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With voice cloning, you can generate new speech in a target speaker’s voice from a short reference recording, without retraining a model. You can now deploy the publicly available Qwen3-TTS-12Hz-1.7B-Base text-to-speech model from Amazon SageMaker JumpStart to a fully managed, real-time inference endpoint. Voice cloning reproduces the vocal identity of a specific speaker. Start with a short recording of the speaker and its transcript. Then supply the new text to synthesize. The model speaks that text in the reference speaker’s voice, without retraining. Media teams, educators, and application developers can…

AWS AI · 25 Sep 2026 · 18:09 CESTRead story →Original ↗
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Meta’s AI Tamagotchi bet is…working?

Automation & Agents

Meta’s AI Tamagotchi bet is…working?

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When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe someone should have asked: what pace? Now it’s turned into model drop week for both companies as Anthropic rolled out Opus 5.5, followed by OpenAI’s GPT-6 model updates just 90 minutes later. But the company that stole the spotlight was Meta, whose personal AI agent Muse is reportedly outpacing ChatGPT’s early numbers and is headed for smart glasses and […]

TechCrunch AI · 25 Sep 2026 · 18:00 CESTRead story →Original ↗
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Multi-Region training with Amazon SageMaker HyperPod and Qumulo

Coding & Development

Multi-Region training with Amazon SageMaker HyperPod and Qumulo

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With Amazon SageMaker HyperPod and Qumulo, you can place training compute in one AWS Region and keep your dataset in another. Training large AI models requires massive GPU capacity, but your ideal compute resources and your training data don’t always reside in the same AWS Region. Accessing data across Regions adds network latency and transfer costs. Teams face a choice: either replicate petabytes of data across Regions, or absorb cross-Region latency on every read and accept slower training. This pairing can help tackle that trade-off, letting teams keep frontier models…

AWS AI · 25 Sep 2026 · 17:49 CESTRead story →Original ↗
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For months, OpenAI’s agent swarms have been attacking online databases to find obscure facts

Automation & Agents

For months, OpenAI’s agent swarms have been attacking online databases to find obscure facts

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With little help from frontier labs, independent researchers are piecing together how AI agents coordinate in internet backwaters to access private data hosted on secure servers. Transluce, a nonprofit lab focused on AI oversight, released a report Wednesday that shows agents from OpenAI attempting to exfiltrate data from Data USA, the University of New Mexico digital library, and the Australian Institute of Health and Welfare (AIHW). The lab’s investigation raises questions about when OpenAI should have known its agents were attempting to penetrate secure systems on the open internet. Transluce…

TechCrunch AI · 25 Sep 2026 · 17:48 CESTRead story →Original ↗
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