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  • There are plenty of tasks which they solve perfectly, today.

    Name a single task you would trust an LLM on solving for you that you feel confident would be correct without checking the output. Because that is my definition of perfectly and AI falls very, very far short of that.

  • As a standalone thing, LLMs are awesome.

    They really aren't though and that is half the problem. Everyone pretends they are awesome when the results are unusable garbage 80% of the time which makes them unusable for 99% of practical applications.

  • It is really not a big change to the way we work unless you work in a language that has very low expressiveness like Java or Go and we have been able to generate the boilerplate in those automatically for decades.

    The main problem is that it is really not at all useful or produces genuinely beneficial results and yet everyone keeps telling us they do but can not point to a single GitHub PR or similar source as an example for a good piece of code created by AI without heavy manual post-processing. It also completely ignores that reading and fixing other people's (or worse, AI's) code is orders of magnitude harder than writing the same code yourself.

  • Probably not going to go belly-up, in a while

    Don't be so sure about that, the numbers look incredibly bad for them in terms of money burned per actual revenue, never mind profit. They can't even pay for the inference alone (never mind training, staff, rent,...) from the subscriptions.

  • They also don't apply the same attitude to those random sources they use instead. That is really the biggest problem with their approach. Literally going "you can't trust anyone any more" would be better than what they do.

  • Funnily enough we managed to make companies so much worse that the family owned medium sized (think a few hundred employees) companies run by the younger generation of the family often look better than the average company run by a CEO hired specifically for that role from a large pool of potential candidates. Most likely because they actually have some long-term thinking left.

  • One of the earliest times Musk appeared in the general public awareness was his Hyperloop crap and that was already designed to sabotage rail in favor of cars so he has always been like this, some people just didn't want to notice back then.

  • True, but my point was that even a lot of the commercial websites that do have other products do not depend on ads, e.g. Amazon and all the other stores would still be there, every company offering a paid service would still be there, every company providing a service related to their RL goods (e.g. specs, drivers, product descriptions, lists of stores where you can buy them,...) would still be there.

    Advertising does not finance a very large percentage of the useful parts of the internet. And among those advertising financed websites that are useful a lot are essentially duplicates to get a chunk of the ad revenue without doing a lot of work (e.g. almost all news websites that just republish AP, Reuters,... content).

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