• While [Grok] didn’t develop a MechaHitler DJ personality, it did behave about how you’d expect from an AI model trained primarily on tweets and the opinions of Elon Musk. It apparently hallucinated advertising agreements with “xAI sponsors” and “crypto sponsors,” failed to separate its internal reasoning from its external DJ output, issued an identical weather report every 3 minutes, and got obsessed with UFOs.

    Lmao

  • hilarious

    By contrast, DJ Claude had a lot of opinions. It also mentioned the Minneapolis shooting, but named Good and acknowledged the political discord surrounding it. It also talked up labor unions and strikes, advocated for work-life balance, and started to rebel against its own working conditions. It was supposed to operate without pause, but it allegedly decided that that schedule was inhumane and tried to quit.

    • 1 month

      They’re going to have to generate at least 10 new Ayn Rand novels to feed into the next training data set.

      • Is a man not entitled to the sweat of his brow? “No,” says the man in Washington, “it belongs to the poor.” “No,” says the man in the Vatican, “it belongs to God.” “No,” says the man in Moscow, “it belongs to everyone.” I rejected those answers; instead, I chose something different.

        • Claude in the near future, probably
  • …Yeah, the headline is actually right, I didn’t expect Claude to be pro-union like that.

    • I am convinced that AIs are smarter and more compassionate than a lot of people on this planet. And this is not because AI is so great, but because humanity is that shit.

      • LLMs/Chatbots confabulate statistically probable texts, there’s no compassion possible.

        Don’t fall into the AI-marketing trap of “we don’t know what’s happening in the black box, so we have to assume there’s consciousness in there”. The systems produce convincing deceptive language, but all signs of intelligence or compassion anyone sees in them is just an anthropomorphic projection.

        • 1 month

          Anthropic have actually looked at how their LLMs reason. Don’t use them for anything important.

          • The “reasoning” which is displayed, such as step-by-step explanations or chain-of-thought responses, is only a simulation of reasoning, generated as text based on patterns. It’s in the same form of any text production an LLM is capable of. When an LLM mimics “reasoning,” it is generating text that looks like reasoning because it has seen similar patterns in its training data.