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zdnet
Researchers from OpenAI, Anthropic, Meta, and Google issue joint AI safety warning - here's why

Monitoring AI's train of thought is critical for improving AI safety and catching deception. But we're at risk of losing this ability. [...]

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Destination
How to Watch the 2025 Oscars Online

The 97th Academy Awards ceremony will air on ABC this Sunday, and you’ll be able to stream it through Hulu as well. [...]

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Marvel Rivals codes for January 2025 and how to redeem

Here's all active Marvel Rivals codes as of January 2025. These include a Scarlet Spider-Man suit, as well as some Peni Parker related goodies. [...]

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zdnet
The Apple Watch is so close to replacing my Oura Ring - it just needs this feature

Sleep Scores are a welcome addition to Apple's sleep-tracking tech. But there's another feature that would help manage my stress. [...]

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zdnet
Master these 48 Windows keyboard shortcuts and finish work early

Keyboard shortcuts can drastically improve your workflow - but you have to know them, first. Here are the 48 most important ones for Windows. [...]

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BulletVPN bites the bullet and shuts down for good – but you may be able to claim a free Windscribe subscription

BulletVPN is shutting down for good, and Windscribe offers 6 free months of its premium VPN to all affected users. Here's how to claim it. [...]

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zdnet
I installed Linux on an 8-inch mini laptop - and it's my new favorite way of computing

The eight-inch Piccolo N150 may be tiny, but its surprisingly good display and sturdy frame show it's no toy. [...]

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SoundCloud says it's never trained AI using artists' work after getting called out for terms of use change

Following backlash about a quietly added clause to SoundCloud's Terms of Use that says users' content may be fed to AI, the company says it's "never used artist content to train AI models," and insists it "has always been and will remain artist-first." The outrage came after tech ethicist Ed Newton-Rex (via TechCrunch) spotted a change to SoundCloud's terms [...]

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'Catastrophic overtraining' could harm large language AI models that are trained on more data for the sake of training

University researchers found that over training large language AI models resulted in worse performance. [...]

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