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Anthropic locked down its most powerful AI Model over cybersecurity fears–then put it to work

Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web browser. The company’s response was not to release it, but to quietly hand it to the organisations responsible for keeping the internet running. That model is Claude Mythos Preview, and the initiative is called Project Glasswing.

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Anthropic keeps new AI model private after it finds thousands of external vulnerabilities

Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web browser. The company’s response was not to release it, but to quietly hand it to the organisations responsible for keeping the internet running. That model is Claude Mythos Preview, and the initiative is called Project Glasswing.

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The Sleeping Giant Wakes: Why AMD’s MLPerf Breakthrough Signals the Beginning of the End for NVIDIA’s AI Monopoly

For years, the technology industry has operated under the shadow of a single, green-tinted giant. NVIDIA, through a combination of visionary leadership and the early realization that GPUs were the secret sauce for parallel processing, effectively “owned” the AI market […] The post The Sleeping Giant Wakes: Why AMD’s MLPerf Breakthrough Signals the Beginning of

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Divide between Silicon Valley and ordinary people grows ever larger

Big tech believes the future is AI while everyday Americans remain wary; and the dangers of riding in a Tesla Cybertruck Hello, and welcome to TechScape. I’m your host, Blake Montgomery. This week in tech, we discuss a moment of divergence between Silicon Valley and everyday people; deep cuts at Meta to maximize spending on

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Nvidia CEO tries to explain why DLSS 5 isn’t just “AI slop”

Last week, Nvidia’s public reveal of DLSS 5—and its “generative AI” enhanced glow-ups of gaming scenes—drew widespread condemnation from the gaming community. In a podcast published Monday, though, Nvidia CEO Jensen Huang tried to differentiate the technology’s optional, artist-guided graphical enhancements from the “AI slop” that Huang says he’s not a fan of. As part

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UK government yet to trial OpenAI tech months after signing partnership

FoI request reveals no evidence of testing despite ministers hailing agreement as key to delivering AI-led public service reformWhen the UK government signed a memorandum of understanding with OpenAI, the tech firm behind ChatGPT, the partnership was hailed as one that could harness artificial intelligence to “address society’s greatest challenges”.But eight months on from the

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Gamers react with overwhelming disgust to DLSS 5’s generative AI glow-ups

Since deep-learning super-sampling (DLSS) launched on 2018’s RTX 2080 cards, gamers have been generally bullish on the technology as a way to effectively use machine-learning upscaling techniques to increase resolutions or juice frame rates in games. With yesterday’s tease of the upcoming DLSS 5, though, Nvidia has crossed a line from mere upscaling into complete

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How multi-agent AI economics influence business automation

Managing the economics of multi-agent AI now dictates the financial viability of modern business automation workflows. Organisations progressing past standard chat interfaces into multi-agent applications face two primary constraints. The first issue is the thinking tax; complex autonomous agents need to reason at each stage, making the reliance on massive architectures for every subtask too

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Nvidia is reportedly planning its own open source OpenClaw competitor

Chipmaker Nvidia is preparing to launch its own open source AI agent platform to compete with the likes of OpenClaw, according to a recent Wired report. The magazine cites “people familiar with the company’s plans” in reporting that Nvidia has been pitching the platform, which it is calling NemoClaw, to various corporate partners ahead of

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ABB: Physical AI simulation boosts ROI for factory automation

A new ABB and NVIDIA partnership shows physical AI simulation is driving real ROI in factory automation and solving production hurdles. Manufacturers have often found it difficult to make intelligent robotics work reliably outside testing environments. The core issue is the gap between digital training models and actual factory floors, where lighting, material physics, and

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