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  1. OrcaCyber-Nano came out with results on 12 different benchmarks, just to say what it does.

    I thought a benchmark was meant to be a standard. Now there are dozens, some easy, some brutal.

    And once a benchmark's prompts are public, a model can be trained on exactly those prompts. So maybe closed benchmarks are next. But then: can I be trusted with your weights, or you with my prompts?

    I'm building my own, so I know how hard this is. www.senbon.dev #AI #LLM

  2. A language model can refuse you, flatter you, or insult you. Three behaviours, and every one of them has a human twin.

    Refusal is the famous one. You can find it inside a model and remove it.

    I've spent weeks measuring the other two: sycophancy, how willing a model is to agree with you, and toxicity, whether it's rude to you or worse.

    Both look a lot like human habits, and I don't have an opinion yet on what that means. The waitlist is at www.senbon.dev

    #AI #LLM #AISafety

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