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Joined 3 years ago
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Cake day: June 9th, 2023

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  • Having read the compared stories now, I have to say I’m deeply offended at the results. The AI stories are quicker to read because they are chains of cliches which state and restate the theme of the story (as stated in the prompt) outright instead of demonstrating it through the charged and personal perspectives of the characters. The LLM generated text is meaningless word sausage formatted to be easier to read for people who don’t read much. I have never read something more cynical, and I have read plenty of trash by authors who hate their audience and consider them all to be idiots.









  • Kwakigra@beehaw.orgtoTechnology@beehaw.orgAI Is Too Expensive
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    3 months ago

    It’s weird that I’ve spent most of my time living in a post-economic world of abundance which I’m not allowed to acknowledge or encourage others to acknowledge because the pretend economy of valuation and confidence depends on exclusively on showmanship and nothing else. The LLM bubble may persist because the work being “saved” never needed to be done in the first place, so it not being done makes no difference to investors being told what got done as usual.



  • Thanks for specifying a legitimate use-case for this tool. I understand that google search has been the most valuable programming tool for a very long time so it makes sense LLMs would be more helpful in the same kind of way. Search engine technology is quite a bit different than blockchain or VR in terms of consumer and business demand.

    For my purposes of news and history research, the unreliability of LLMs making me have to check all its claims every single time negates its usefulness as an assistant because I will have to examine its references anyway so it’s more time effective for me to skip the questionable output I would get and do the research myself in the first place. How have you been able to manage the issue of unreliability with the volumes of data you’re dealing with? Is the kind of data which you’re dealing with less likely to be unreliable since it is of a kind the LLM is more likely to process correctly?




  • This is kind of unprecedented. Usually a government only considers nationalizing an industry after it’s established. LLMs are still in the speculative pre-adoption phase, and unlike many other technologies from the last century, LLMs are not very useful at anything other than obfuscating accountability. This is great for racketeers and infuriating for the vast majority of people who have been outspoken at refusing to accept the worthless garbage LLMs can print on demand.

    This is a huge problem for LLMs as they cost more to run they they can possibly produce. The only value proposition is technically existing in industries which are totally speculative and require no productivity other than from their salespeople. LLMs can only last for as long as our economy remains fundamentally fraudulent. Making a public bet on LLMs to keep the fraud up is a massive risk that the people taking it have never had to worry about understanding.