Ledger Nano and Stax teardown Nano was so easy; 4 minutes to open and close. Stax is hard to tamper without damaging case. Heatgun maybe. There are so many exposed and labeled testpoints and comms interfaces you can tap. No wonder these are getting pwned.

Proof REA is is malicious. This repository is simultaneously: (1) the vehicle for an active social engineering campaign harvesting credentials and biometric data from users who install it, (2) the subject of apparent artificial star inflation to manufacture legitimacy, and (3) the host of an architectural vulnerability enabling prompt-injection-to-RCE in AI agent workflows. The combination of pre-positioned @latest install instructions and a coordinated amplification network represents a complete supply-chain attack delivery mechanism should a malicious package version be published.

life is a journey

Chomsky was wrong. Researchers found your brain doesn’t store language the way every textbook since 1957 claims. For decades, the undisputed rule of linguistics, led by Noam Chomsky, was that human language is hierarchical. We were told our brains process language using complex "grammar trees." That we secretly build deep, abstract, mathematical rules in our heads before we speak. This new paper proves that is completely wrong. Researchers at Cornell University analyzed how people actually process and produce language in real time. They found sequences. Linear chunks. When we speak, we aren't calculating deep syntactic rules. We are just predicting the next most logical sequence of words based on the context of the words right before it. We string linear chunks together. If this sounds familiar, it should. This is exactly how Large Language Models like ChatGPT work. For years, critics have dismissed AI as "just a next-token predictor." They said it isn't truly intelligent because it doesn't understand deep grammatical hierarchies like humans do. But this paper suggests humans don't use those hierarchies either. We are just predicting the next chunk. Language isn't a rigid tree of mathematical rules. It's a linear stream of contextual predictions. We thought we were building AI to mimic the complexity of the human brain. It turns out, the human brain was just running a simpler algorithm all along.

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Horas soldando y al final… sigue sin mandar video 😔😩

GPT-6.1 Terra substantially outperforms GPT-5.6 Terra on Agents’ Last Exam, a test of how well agents use software at work. It even matches GPT-6 Astra at one-tenth the price per token and finishes tasks over 3× faster on average than both Astra and GPT-6.1 Sol.