Human

  • 1 Post
  • 114 Comments
Joined 2 years ago
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Cake day: June 14th, 2023

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  • That’s not what you are doing at all. You are not laughing. Anti ai people are outraged, full of hatred and ready to pounce on anyone who isn’t as anti as they are. It’s a super emotional issue, especially on fediverse.

    You may be confident, because you probably don’t know how software is built. Nobody is going to just abandon all the experience they have, vibe code something and release whatever. Thats not how it works.


  • I think people today, after having a year experience with ai know it’s capabilities reasonably well. My mother is 73 and it’s been a while since she stopped joking about what ai wrote to her that was silly or wrong, so people using computers at their jobs should be much more aware.

    I agree about that llms are good at some things. They are great tools for what they can do. Let’s use them for those things! I mean even programming has benefitted a lot from this, especially in education, junior level stuff, prototyping, …

    When using any product, a certain responsibility falls on the user. You can’t blame technology for what stupid users do.

















  • Ah, there go the insults. Surely the best way to display the superiority of your argument lol. And show who is the rational one in any conversation. But I’ll let the first one side, ok. Anyone can have a weak moment. For sure I had many.

    My post has sense. You can claim ,as you have, that multiple ingredients don’t guarantee a tasty dish and fair enough, but in the other hand the opposite is also obviously not true. So I claim that’s not an argument against what I said by logic itself. I can also say that’s not a good comparison. We have a technology that is already giving us results. You can claim they aren’t good, but considering how many people use it already, that by itself could refute that claim, without mentioning any case studies which are plenty.

    To the meat of the thing. Maybe I can’t claim that we are headed for an ai nirvana, but the same you can’t say LLMs are in any kind of dead end, especially not one that will mean ai stagnation for the medium future. But I can safely claim we are far closer than we were 3 years ago, by many orders of magnitude. The reasons being exactly hardware and LLMs. And this is exactly the reason for investments in the very the same tech, infrastructure, companies, institutions, universities, (…), that would invent new technology in AI. So, in the worst case scenario for the llms, they have accelerated the investments and improved the infrastructure for future inventions. Worst case.

    Got more insults?