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by kenjackson 33 days ago
I have seen it too. The answer is easy - they don’t like AI. I've seen similar things with some people that don’t like women in tech or certain minorities - they suddenly critique at an extremely high level. I also haven’t looked at this particular case, but it wouldn’t surprise me to be the same thing here.
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embedding-shape 33 days ago
> I also haven’t looked at this particular case, but it wouldn’t surprise me to be the same thing here.

Be surprised then, because me, who left the critique, probably exclusively programmed with agents for the last year or so, so unlikely I think the code is bad because I "don't like AI". I don't love it either, but wouldn't call myself a AI-hater by any measurements, would be weird to write articles like this if so: https://emsh.cat/en/one-human-one-agent-one-browser/

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kenjackson 32 days ago
Again, I wasn't reacting specifically to you (as noted, I wouldn't be surprised if so, but I also wouldn't be surprised if not). I was making a more general statement.
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TurkTurkleton 33 days ago
Dude, are you for real? We've had the supposed inevitability of AI rammed down our throats since the minute LaMDA convinced Blake Lemoine it was sentient, we've watched CEOs hype up AI as if it were production-ready while it was still barely beta quality, LLM-driven chatbots have been stapled to the side of every product no matter how little sense it makes since OpenAI published an API, and we've been told to prepare for the inevitable "agentic future" even as Claude 3.5 had to have its hand held more than a wet-behind-the-ears freshman summer intern. We're told that this technology is going to eat the entire world economy and render human labor obsolete, starting with our jobs, but if it's genuinely supposed to do that, I think it's more than reasonable to expect it to write superhumanly perfect code, not just code that's incrementally better than the last model release but still bad; extraordinary claims require extraordinary evidence, after all. To liken AI skepticism to the obstacles faced by women and minorities in tech is a category error that trivializes actual human struggles against human prejudices.
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