Saw the Lincoln assassination post and looked around like 'what did you do?'
I can't even guess what could have set someone off. Universal Monk recently banned me from all his dead little circlejerks, and I can infer that was probably about shrugging off Charlie Kirk's death. This? No idea. Like PugJesus aimed for someone else and missed.
DRM has a much more commonplace meaning that has also been a contentious topic for FOSS development.
I level the same complaint about online newspapers that cover local politics without bothering to specify where the hell they are. 'If you already knew then you'd plainly know.' Okay, what if I fucking don't? How does one divine this information? If I search for Greenville or Jackson County, is your podunk locale the first thing that comes up?
I lurked before there were subreddits. Only ever used the site. Had an account for fifteen years, right up until the API debacle, which started as a protest and became the last straw. I was unhappy with the site for years before that, thanks to, y'know, fascism.
I had Lemmy picked as the best-looking alternative, around the time reddit blocking meant 'you can't see me, you're locked out of this thread, you can't edit your comment, I get the last word for free, and the site will lie about why nothing works suddenly.'
I initially went to LW... but enforced civility is a failure of moderation, and uneven enforcement is downright intolerable.
Right, should say deep neural networks. Perceptrons hit a brick wall because there's some problems they cannot handle. Multi-layer networks stalled because nobody went 'what if we just pretend there's a gradient?' until twenty-goddamn-twelve.
Broad applications will emerge and succeed. LLMs kinda-sorta-almost work for nearly anything. What current grifters have proven is that billions of dollars won't overcome fundamental problems in network design. "What's the next word?" is simply the wrong question, for a combination chatbot / editor / search engine / code generator / puzzle solver / chess engine / air fryer. But it's obviously possible for one program to do all those things. (Assuming you place your frozen shrimp directly atop the video card.) Developing that program will closely resemble efforts to uplift LLMs. We're just never gonna get there from LLMs specifically.
Neural networks will inevitably be a big deal for a wide variety of industries.
LLMs are the wrong approach to basically all of them.
There's five decades of what-ifs, waiting to be defictionalized, now that we can actually do neural networks. Training them became practical, and 'just train more' was proven effective. Immense scale is useful but not necessary.
But all hype has been forced into spicy autocomplete and a denoiser, and only the denoiser is doing the witchcraft people want.
Couldn't spell it.