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Cake day: June 15th, 2023

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  • We find that the MTEs are biased, signif-icantly favoring White-associated names in 85.1% of casesand female-associated names in only 11.1% of case

    If you’re planning to use LLMs for anything along these lines, you should filter out irrelevant details like names before any evaluation step. Honestly, humans should do the same, but it’s impractical. This is, ironically, something LLMs are very well suited for.

    Of course, that doesn’t mean off-the-shelf tools are actually doing that, and there are other potential issues as well, such as biases around cities, schools, or any non-personal info on a resume that might correlate with race/gender/etc.

    I think there’s great potential for LLMs to reduce bias compared to humans, but half-assed implementations are currently the norm, so be careful.








  • Yep. If it uses a cloud service, they’re probably going to squeeze you, pull a bait-and-switch, or go out of business. The only exceptions that spring to mind are services with significant monetization in the corporate space, like Dropbox. And I’m not really confident that Dropbox’s free tier will remain viable for long, either.

    Even non-cloud-based apps are risky nowadays because apps don’t remain compatible with mobile OSes for very long. They require more frequent updates than freeware/shareware generally did back in the 90s. I remember some freeware apps that I used for 10 years straight, across several major OS versions, starting in the 90s. That just doesn’t happen anymore. I’ve been using Android for over 10 years and I don’t think there’s a single app I used back then that would still work.

    Single-purchase apps are basically dead, at least on mobile platforms. Closed-source freeware is dead, too. If it’s open-source, if push comes to shove someone can always pick up the torch and update it. It’s very rare for an open-source project to be completely abandoned without there at least being a viable open-source alternative available.

    At this point, I don’t even look at Google Play. It’s F-Droid or bust.






  • I don’t think commissioning a work is ever as hands-on as using a program to create a work.

    I suspect the hangup here is that people assume that using these tools requires no creative effort. And to be fair, that can be true. I could go into Dall-E, spend three seconds typing “fantasy temple with sun rays”, and get something that might look passable for, like, a powerpoint presentation. In that case, I would not claim to have done any artistic work. Similarly, when I was a kid I used to scribble in paint programs, and they were already advanced enough that the result of a couple minutes of paint-bucketing with gradients might look similar to something that would have required serious work and artistic vision 20 years prior.

    In both cases, these worst-case examples should not be taken as an indictment of the medium or the tools. In both cases, the tools are as good as the artist.

    If I spend many hours experimenting with prompts, systematically manipulating it to create something that matches my vision, then the artistic work is in the imagination. MOST artistic work is in the imagination. That is the difference between an artist and craftsman. It’s also why photography is art, and not just “telling the camera to capture light”. AI is changing the craft, but it is not changing the art.

    Similarly, if I write music in a MIDI app (or whatever the modern equivalent is; my knowledge of music production is frozen in the 90s), the computer will play it. I never touch an instrument, I never create any sound. The art is not the sound; it is the composition.

    I think the real problem is economic, and has very little to do with art. Artists need to get paid, and we have a system that kinda-sorta allows that to happen (sometimes) within the confines of a system that absolutely does not value artists or art, and never has. That’s a real problem, but it is only tangentially related to art.