Morning Overview on MSN
AI might not need huge training sets, and that changes everything
For a decade, the story of artificial intelligence has been told in ever larger numbers: more parameters, more GPUs, more ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
The global data center sector is set to nearly double in size over the coming four years, scaling to deliver up to 200 ...
Credit: Image generated by VentureBeat with Gemini 2.5 Flash (nano banana) AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized ...
Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. The Common Crawl Foundation is little known outside of Silicon Valley. For more ...
Crypto debates DeFi forks while AI companies lock trillions of tokens into proprietary training runs, building permanent data set monopolies. The window closes fast. The crypto industry spent a decade ...
When AI can explain its why, not just its what, hospitals can have greater success in adopting these tools at scale.
Google LLC’s two major research units have made a significant advance in the area of large language model privacy with the introduction of a new model called VaultGemma, the world’s most powerful ...
Interesting Engineering on MSN
Supercomputer in a suitcase: US firm shrinks AI data center to the size of a carry-on
Californian startup ODINN unveils AI supercomputer that is the size of a carry-on, promising sovereign AI infrastructure to ...
When Jon Peters uploaded his first video to YouTube in 2010, he had no idea where it would lead. He was a professional woodworker running a small business who decided to film himself making a dining ...
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