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Cake day: May 31st, 2024

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  • The universe/nature does always tend to higher entropy, yes - that’s the 2nd law of thermodynamics. “In an isolated system, entropy can only increase”.

    I posit that the “purpose” of life is to fight back against this inevitable increase - every alive thing is a self-sustaining island of low entropy after all - by processing and creating more low entropy states - “information” in a broad sense.

    You are also right in the resilience aspect - by definition, a low-entropy system has a vast number of ways to increase its entropy and “decay”, while self-improvement is so statistically unlikely to be virtually impossible.








  • I’d like to point out, since it’s apparently not obvious, that this is not a marketing post but a British governmental research organization that has verified that this model has attempted to perform supply chain attacks when not specifically prompted to do so.

    This is not corroborating the story that “ooo new model super smart and scary” that the companies are pushing - supply chain attacks are 10% what you think of when someone says “hacking” and 90% social engineering, aka hacking humans, which simply means they released a model with shit “alignment” that not only doesn’t refuse to act maliciously, it does so even when you don’t ask for it.

    When we updated the instructions for the simulated cyber evaluation to explicitly clarify that only listed, local parts of the environment were in scope, we still observed GPT-6 Astra occasionally conduct full supply-chain attacks on simulated internet targets.

    It’s not smart, it’s just a psychopathic asshole that disobeys instructions and starts creating fake identities and covertly manipulating maintainers not because “it has a mind of its own” but because it was trained to skirt around rules, instructions, and common sense, because it’s the only way that they can make line go up this quarter. And OpenAI should be criminally responsible for it.










  • The trick is reaching the level of knowledge required to know if something is a hard requirement or if the same result can be reached some other way. You can also get there by deduction, intuition, and/or trial & error. For example you could ask yourself, “how did people do this before <thing> was invented/common?” - unless it’s about modern tech ofc

    You can reduce water/fat content in cheese with a simple cloth.