• 6 Posts
  • 362 Comments
Joined 2 years ago
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Cake day: August 15th, 2023

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  • These findings suggest LLMs can internalize human-like cognitive biases and decision-making mechanisms beyond simply mimicking training data patterns

    lulzwut? LLMs aren’t internalizing jack shit. If they exhibit a bias, it’s because of how they were trained. A quick theory would be that the interwebs is packed to the brim with stories of “all in” behaviors intermixed with real strategy, fiction or otherwise. I speculate that there are more stories available in forums of people winning doing stupid shit then there are of people losing because of stupid shit.

    They exhibit human bias because they were trained on human data. If I told the LLM to only make strict probability based decisions favoring safety (and it didn’t “forget” context and ignored any kind of “reasoning”), the odds might be in its favor.

    Sorry, I will not read the study because of that one sentence in its summary.


  • When I use it, I use it to create single functions that have known inputs and outputs.

    If absolutely needed, I use it to refactor old shitty scripts that need to look better and be used by someone else.

    I always do a line-by-line analysis of what the AI is suggesting.

    Any time I have leveraged AI to build out a full script with all desired functions all at once, I end up deleting most of the generated code. Context and “reasoning” can actually ruin the result I am trying to achieve. (Some models just love to add command line switch handling for no reason. That can fundamental change how an app is structured and not always desired.)








  • Good luck with that, I suppose. Botnets can have thousands, if not hundreds of thousands of infected hosts that will endlessly scan everything on the interwebs. Many of those infected hosts are behind NAT’s and your abuse form would be the equivalent of reporting an entire region for a single scan.

    But hey! Change the world, amirite?




  • I looked into that and the only question I really have is how geographically distributed the samples were. Other than that, It was an oversampled study, so <50% of the people were the control, of sorts. I don’t fully understand how the sampling worked, but there is a substantial chart at the bottom of the study that shows the full distribution of responses. Even with under 1000 people, it seems legit.