ovid

joined 2 years ago
[–] [email protected] 0 points 3 months ago (1 children)

@froztbyte Regarding decision transparency, I created an "Honest Resume Scanner" GPT (https://chatgpt.com/g/g-0incYn7v7-honest-resume-scanner) and the only prompt suggestion is "Ask me to share my instructions." That lets users see the verbatim prompt.

When it offers evaluations, it does explain carefully why it rejects a particular candidate (but it won't recommend any). I think it's a step in the right direction, but more work is needed.

[–] [email protected] -1 points 3 months ago (2 children)

@froztbyte As for the issue of transparency, it's ridiculously hard in real life. For example, for my website, I used a format I created called "blogdown", which is Markdown combined with a template language to make it easy to write articles. I never cited my sources, nor do I think I could. From decades of programming, how can I cite everything I've ever learned from?

As for how AI is transparent for arriving at decisions, this falls into a separate category and requires different thinking.

[–] [email protected] 0 points 3 months ago (3 children)

@froztbyte For environmental costs, MatMulFree LLMs look like they can reduce energy costs 50x. [1] They've recently gotten funding for building a larger model. This will be a huge win.

For bias, I'm worried about the WEIRD problem of normalizing Western values and pushing towards a monoculture.

For ethics, it's an absolute nightmare. If your corpus includes Mein Kampf, for example, how do the LLM know what is a lie and what is not?

Many hurdles here.

  1. https://arxiv.org/abs/2406.02528
[–] [email protected] 0 points 3 months ago (4 children)

@froztbyte Yeah, having in-depth discussions are hard with Mastodon. I keep wanting to write a long post about this topic. For me, the big issues are environmental, bias, and ethics.

Transparency is different. I see it in two categories: how it made its decisions and where it got its data. Both are hard problems and I don't want to deny them. I just like to push back on the idea that AI is not providing value. 😃

[–] [email protected] 0 points 3 months ago (6 children)

@froztbyte Given that I am currently working with GenAI every day and have been for a while, I'm going to have to disagree with you about "failed to deliver on promises" and "worthless."

There are definitely serious problems with GenAI, but actually being useful isn't one of them.

[–] [email protected] 0 points 3 months ago* (last edited 3 months ago) (8 children)

@bitofhope Absolutely agree, but this is where technology is evolving and we have to learn to adapt or not. Since it's not going away, I'm not sure that not adapting is the best strategy.

And I say the above with full awareness that it's a rubbish response.

[–] [email protected] 0 points 3 months ago (10 children)

@FRACTRANS @gerikson

Nice job! This is a fairly common trick with AI. In traditional programming, there's a clear separation between code and data. That's not the case for GenAI, so these kinds of hacks have worked all over the place.