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Joined 29 days ago
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Cake day: November 7th, 2025

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  • Quit reddit 5 years ago. Had a 12 year old account then.

    Thread asked for early examples of racism against a certain group, by my country. I dug up such examples and translated them into English. The examples included slurs. Got permabanned for using slurs, no appeal.

    Apparently I should have included a racism trigger warning in a thread asking for examples of racism, although the mod admitted that that wouldn’t have saved me either.

    This is a site which was notorious for indulging in gore with videos of people being killed by the way. Bunch of weirdos.

    That’s not why I deleted my account though. The last straw was when CIA thinktanks made a hostile takeover of all Middle East and geopolitics subs, forcing a Washington agenda to manufactor consent for war. The Afghanistan, Iran and Iraq subs were riddled with ex-military Americans and the mods were literally paid thinktank gooners. They were quite open about it too.




  • I think you’re underselling it a bit though. It is far better than a modern search engine, although that is in part because of all of the SEO slop that Google has ingested. The fact that you need to think critically is not something new and it’s never going to go away either. If you were paying real-life human experts to answer your every question you would still need to think for yourself.

    Still, I think the C-suite doesn’t really have a good grasp of the limits of LLMs. This could be partly because they themselves work a lot with words and visualization, areas where LLMs show promise. It’s much less useful if you’re in engineering, although I think ultimately AI will transform engineering too. It is of course annoying and potentially destructive that they’re trying to force-push it into areas where it’s not useful (yet).














  • This really is a problem with expectations and hype though. And it will probably be a problem with cost as well.

    I think that LLMs are really cool. It’s way faster and more concise than traditional search engines at answering most questions nowadays. This is partly because search engines have degraded in the last 10 years, but LLMs blow them out of the water in my opinion.

    And beyond that, I think you can generate some pretty cool things with it to use as a template. I’m not a programmer but I’m making a quite massive and relatively complicated application. That wouldn’t be possible without an LLM. Sure I still have to check every line and clean up a ton of code, and of course I realize that this is all going to have to go to a substantial code review and cleanup by real programmers if I’m ever going to ship it, but the thing I’m making is genuinely already better (in terms of performance and functionality) than a lot of what’s on the market. That has to count for something.

    Despite all that, I think we’re in the same kind of bubble now as we were in the early 2000s, except bigger. The oversell of AI comes from CEOs claiming (and to the best of my judgement they appear to be actually believing) that LLMs somehow magically will transcend into AGI if they’re given enough compute. I think part of that stems from the massive (and unexpected) improvements that happened from GPT-2 to GPT-3.

    And lots of smart people (like Linus Tordvals for example) point out that really, when you think about it, what is intelligence other than a glorified auto-correct? Our brains essentially function as lossy compression. So I think for some people it is incredibly alluring to believe that if we just throw more chips on the fire a true consciousness will arise. And so, we’re investing all of our extra money and our pension funds into this thing.

    And the irony is that I and millions of others can therefore use LLMs at a steep discount. So lots of people are quickly getting accustomed to LLMs thinking that they’re always going to be free or cheap, whereas it’s paid for by the bubble money and it’s not super likely that it will get much more efficient in the near future.