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Hacker claims 3.6 million Azure account records stolen from major companies
A threat actor is selling employee databases allegedly stolen from the Microsoft Azure infrastructure of multiple Fortune 500 companies after gaining access using compromised credentials. [...]
This compact Glorious mechanical keyboard is just $35
The discounted GMMK 3 doesn’t include the pictured wrist rest. | Image: Glorious Are you curious about custom mechanical keyboards, but don’t want to spend hundreds just to get started without being sure you’ll enjoy the hobby? You can grab the 65-percent Glorious GMMK 3 mechanical keyboard at Woot for $34.99 (usually $139.99) by entering the coupon code WOOTGAMING at checkout, and first-time Woot customers will get an extra $5 off when using the same code. It’s a well-equipped keyboard out of
India has paved the way for charging merchants a fee on UPI transactions
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Adam Shostack Talks Hugging Face & PHANTOM-B
World-class threat modeler Adam Shostack shared he was "blown away" by OpenAI's revelations about the Hugging Face attack, and explains why his new threat model for LLMs is both "lightweight yet still usable."
Pokémon Center data breach exposes customer info, cancels some orders
Pokémon Center is notifying customers in the United Kingdom and Germany that it suffered a third-party data breach after hackers stole customer personal and order information from third-party logistics provider CEVA Logistics. [...]
Wordle meets Clippy in this new word game
Like many of us, Sam Rosenthal plays games like Wordle every day, chasing after good scores and sharing the results with friends and family. But he's also a game designer, the creative director at Blaseball developer The Game Band, and so this regular habit got him thinking about what else could be done in the space. "When I was a kid and I played word games with my family, they weren't the New York Times puzzle games," Rosenthal explains. "We were sitting in a car on a road trip playing these r
The Embedding Model You Choose Matters More Than Your LLM
The Uncomfortable Truth You’ve spent days prompt-engineering your LLM. You’ve benchmarked Claude against GPT. You’ve debated whether to use Mixtral. But your RAG pipeline is still returning garbage answers, and you’re blaming the wrong component. The LLM is only as good as the context it receives. Context quality is entirely determined by retrieval. Retrieval quality is entirely determined by your embedding model. Fix the bottom, and the top fixes itself.
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