Yes. And I hink the Brave filter is working quite well.

Indeed. MAGAs are hallucinating worse than the least capable LLMs. Quite an achievement, if not a positive one.

Looks like we are going towards idiocracy.

They do not. Voting in Switzerland is "citizens only". Incidentally, the Swiss government does not collect racial statistics on Swiss citizens. The racist cretin above is just hallucinating "facts" because he cannot deal with reality.

And you did pull all that right out of your ass. Well done, racist cretin.

The thing is, only about 10-15% of the population are independent thinkers and only about 20% can be convinced by rational argument (about 30% on questions not (!) important to them). The rest is like the person you described. No insight, no understanding and completely closed-off to facts. There is no known way to reach them. Sometimes a major catastrophe in their lives can do it, but even that is not assured to.

Well, time to fix all that crappy software. Or else.

Depends on how solvent NVIDIA thinks those companies will be. Also I think creditors frequently get paid earlier in a bankruptcy process (before investors at least). Maybe they have it structured like a mechanics lien where they get 100% of the loan back on bankruptcy (I don’t know if that is actually possible), or if they just huger that in a bankruptcy they will get about 80% of the loan back, so they want to make the loan as far ahead of bankruptcy as they can so they get a bunch of payments followed by bankruptcy and then they get a chunk of money awarded by the bankruptcy court (and/or maybe return of the assets?)

Ah! I think that is the one! I bet they are structured as a secured loan, so on bankruptcy the bankrupt company can either surrender the assets (the hardware Nvidia loaded you money for), and Nvidia keeps all prior payments. OR they sign a new agreement both the company and lender agree to which is then omitted from the bankruptcy discharge (i.e. the new agreement can’t be washed away by bankruptcy, so if you still owe say $3m Nvidia can stand firm on that price, or even knock a little off, but whatever is agreed to the bankruptcy court leaves it to stand -- normally, sometimes they will decide there is some sort of bankruptcy fraud going on and you are sheltering money with something like that, normally only if family or close friends are involved though), or the company going into bankruptcy can pay Fair Market Value for the property.

Nvidia might get screwed if companies going bankrupt decide it isn’t worth salvaging the AI hardware either because they pivot to a non-AI busness, or at least a busness where they don’t need Nvidia hardware (like they rent “AI compute” from Google or something, or only needed the Nvidia hardware to refine models and they decide to just run the models they already have and not refine anything).

Nvidia also might get screwed if lots of companies decide AI is BS and the fair market value for AI hardware declines.

Nvidia is also screwed if the whole AI market implodes for a similar reason.

Still it is pretty easy to see how Nvidia is taking a risk, but could “earn” way more money this way. Plus Nvidia gets the interest payments, not a bank (then again Nvidia is taking the risk, not a bank). I don’t know if it is a good idea or not, because it hinges on something I’m awful at predicting: timing. If the house of cards comes down soon Nvidia takes a big bath. If the house of cards stays up for a while Nvidia breaks even, if it stays up long enough Nvidia makes the even bigger bucks.

Actually it is debatable. Anthropic is not making money, they are burning through VC cash. OpenAI is not making money, they are burning through OPM (“Other People’s Money”) as well. NVIDIA _is_ making money selling the AI hardware to the various companies pouring money into finding an AI model+business model that lets them make money. SpaceX’s xAI isn’t usefully broken out into it’s own P&L, but if you want to bet there IK’ll bet they are losing money at the moment as well, if you take the bet and lose you owe me one fancy Starbucks coffee and pastry, if I lose I’ll buy you 5 shares of SpaceX (that is around $1000 vs your $10). Did I forget anyone? Palentier? Also OPM (VC at the moment).

I doubt Apple or Google are making money on AI either, although it is more debatable because they have a bunch of products they can bolster sales with it (people buying a new iPhone because they want something they saw “Apple intelligence” will bring, totally forgetting that Apple hasn’t delivered on their AI promises from 2 years ago yet!), or Google may sell more smart speakers “powered by Gemini” then they sold of their prior assistant powered speakers, or get more Google searches because of Gemini answers. Although I expect the searches will merely manage to better hold onto market share by offering Gemini, which is important, but defending a multibillion dollar a year Business isn’t at all the same a “making money with AI”. Google has definitly said they are cutting headcount by using AI, but I’m not sure if they actually have a productivity increase or merely an increase in code per unit time even if the volume says nothing (or is of lower quality so it produced more bugs per unit code, and more critical outages per unit codebut more volume of code fixes!)

I’m not saying that NVidia are the only ones that can ever make money at this, or that only the hardware makers will ever make money, but that is how it is right now for sure.

That will go well. They are delivering essentially unreviewed LLM output in what is now called "cognitive surrender".

Seriously, the amount of code that will have to be ripped out and thrown away because an LLM "wrote" it is going to be epic. It is pretty clear now that nobody that did this will come out ahead.

That does not mean LLMs are useless. They still work pretty well for "better search", but only with competent and mentally engaged human oversight.

It is even worse for Switzerland. Switzerland is a high-tech nation that does not have enough STEM personnel, because they do not educate enough. Hence they need a massive influx of engineers, MDs, etc. Many (not very smart) Swiss citizens complain, for example, that many MDs are not Swiss, completely overlooking that the alternative is not having enough. Dumb people that cannot think one step ahead is unfortunately also a fact of life in Switzerland....

And it was both votes ("Staenderat" and individuals) that rejected it. It would have to win both to become law.

The whole thing is right-wing conservative assholes that cannot do actual solving of problems and hence try to compete with simplistic proposals. Fortunately, enough people saw how badly this idea was thought out and how massive negative the consequences would have been (loss of basically all treaties with the EU if the limit were to trigger).

Obviously the person you responded to is a MAGA-moron. These people are deep in denial and cannot be reached by reality anymore. Remember the idiots denying COVID existed while being in the last stage of dying from it? That is the insight level of these people.

I have no good solution. Clearly they would need to be isolated and limited to protect everybody (including themselves). But that cannot be done on the scale needed and comes with almost certainty such a mechanism would be abused on a large scale. The US probably needs a crash to 2nd world (or lower) for enough people to realize that facts matter and that cults are not a viable form of government.

Probably. But in the larger scheme of things, this just makes it abundantly clear that, besides its numerous other severe problems, LLM type AI is not even reliably available. This bribe will likely backfire massively.

Good. The sooner the hallucination collapses, the better.

Unprofitable and no real prospects to get profitable. "Move on" indeed.

The best reason for this demented hype I have heard so far is that apparently a lot of CEOs are deep in "AI psychosis" now. They try some simplistic thing (because CEOs cannot do actual work in most cases), find it works, find they "coded" something, fail to understand the severe limitations of what they made and then think they can fire actual engineers.