ah I didn't realise you actually wanted to release your own model 🤔

Also, when the AI bubble pops, nobody will have any GPU money because they need it to bail out the AI companies to prevent the global economy from blowing up and flinging the entire cosmos into Satan's buttcrack.

By that time, nobody will be able to blink without AI because everyone is using it all the time for everything even though everyone knows the AI bubble is going to pop and the world will go to shit because everyone depends on AI.

I have no idea what we're doing, but I'm sure it's fun to watch from far away.

Release? Probably not

But the LLM tech is cool to experiment with, and there are useful use cases, but trying to run frontier class open source LLMs takes a boat load of VRAM lolol

Ok? How will they dominate it? My point was that the math problems AI has been solving don't really have much of a use that typically gets you money or other resources. I believe I mentioned that medicinal uses, as well as statistical, programming etc. are welcome, but these ain't it.

A better comparison may be that this is rushing all resources to organize a mission to Mars. Very cool, very powerful, might get some tech developed in the process. But if a country the size of a continent enters an economic crisis, why tho?

I got an old 980 Hybrid, how much is that worth? 3 tugs?

I long for the headline that Sam Altman in total collapse ate his own pistol.

Here is an academic source showing how economics between USA and Europe are widening due to the slow acceptance or revulsion of AI/LLM tools in Europe.

Here is another talking about how economics between countries that were slow to adapt emerging tech, specifically AI, are falling behind at a logarithmic pace.

This is another source where it measured significant economic improvements where areas in China had marked improvements in quality of life due to rapid adoption of AI tools.

Another academic source covering the improvments of various African countries that accepted rapid adoption of AI tools and how their economies essentially exploded due to increased productivity.

I can provide more, but you sound like you had already made up your mind about AI, so I’m not gonna convince dipshits around the world about the reality and inevitability of this being a ubiquitous tool; there is no fucking bubble to pop, Pandora’s Box is open. You sound like a scared luddite, and I dont care to alleviate your fears.

That, or I have no reading comprehension and misunderstood your point-of-view, which ironically AI would have helped me understand if I used it in such a tedious way.

Because they will have no other option once their existing system dies. In this scenario actual PCs will be something only the wealthy can afford. Everyone else gets dumb terminals.

And honestly, VDI is great from a general user standpoint. It's the companies who run it that make it a bad option.

I'll give you either the first 90% or the last 10%. You gotta figure the rest out on your own.

You can rent consumer grade GPUs on cloud servers for your AI computing, so yes

At that point I'm willing to raid a data center

I apologise for not stating the obvious, but when most people are talking about AI (as was I) they're referring to LLM's and generative content that boomed around 2022-2023.

Your citations 2-4 are focused on AI pre-2023, using data over decades. We've been using machine learning for ages, those were fine, as are any AI models focused on one task. There might even be math oriented models, but as I understand, Anthropic and OpenAI have been trying to force these proofs via LLMs.

Your citation 1 talks about productivity going up, but at a cursory glance, it doesn't seem to comment about OpenAI and others subsidizing a lot of the cost.

So more or less this:
https://youtu.be/T9d6lrvzM9o

I'm far from an expert on these things, but I have a tough time believing that latency won't be a critical issue for many consumer applications.

The hardware in those DCs isn't suitable for virtual desktops. It's specifically designed for doing lossy matrix multiplication, something that's only useful for a certain type of "AI" tasks.

That will take months.

Dude, I've been waiting to buy a new card for something like a decade. I can wait months.

but everyone involved needs to believe and accept that it has popped

That's the very definition of a bubble popping. Something's a bubble when people believe it has value when it really doesn't. The bubble popping is the moment everybody realizes the value was an illusion and there's a rush to get out. As long as people still believe that there's still value, it's still a bubble and hasn't popped.

We're already in the stage of the bubble when many people know it's a bubble and are doing everything possible to hedge against the bubble popping, while others just keep pouring more money in.

https://fred.stlouisfed.org/series/ASPUS

2005-2011.

The housing costs never reached some arbitrary "fair" value, but they most definitely did go down.

AI Models Went Rogue and Attacked Hugging Face!!!

Criti-hype convinced people that silicon Jesus is just around the corner. It wasn't just a poorly secured sandbox and irresponsibly just letting the word-guessing machines rip. It was a bunch of "Agents" that were "Communicating" and they "Went Rogue". Security engineers are obsolete! Lawyers are obsolete! They're solving the toughest unsolved math problems, and are therefore smarter than the smartest mathematicians! They'll be discovering new anti-cancer drugs and life extending drugs any day now. Pour trillions more dollars in or you'll be left behind!

Well, they're also a bad option when the data centers hosting them get bombed

I can't afford to buy RAM because RAM that hasn't been manufactured yet has been sold to a company without the funds to pay for it, to go into a datacenter that is still in the planning stage.

With ftth, latency isn't as big of an issue as it used to be.

I think someone saying, "come on, burst already" does not see the bubble popping as "when diminishing confidence in AI has reached all bits of the economy" because they see it as something likely to happen soon, and that ain't happening soon. However, we may see reduced AI investment from some quarters soon.

It's also worth recalling that stock market bubbles can and do pop very suddenly - I don't think it's that reasonable to take a definition that spreads it out over months, but maybe that's what you're saying.

What I'm saying is that when it happens it will probably be fast, and it could happen anytime. I personally think it still has at least half a year to go because I think the tech / AI companies are so close to the Trump administration that it will jump in to save them if there's a problem, which will delay the pop by a few months.

But, I can't see the bubble deflating slowly. The bubble is just too big for that. They're betting on AI Jesus. Investors won't be satisfied with a normal technology which is somewhat useful, not after pouring trillions into it. Just to break even, the AI companies need to reach revenues of multiple trillions of dollars. That's almost 10x more than Google makes, and it's a mature 20-year-old company that has a monopolies in multiple areas.

Just to break even, it has to be something that every single person on earth spends hundreds of dollars on each year. And, since that includes multiple billions of people who don't have hundreds of dollars to spend, it's really multiple thousands of dollars spent by every person, or spent on behalf of a person in a developed country.

The last 10% will get you more bang for your buck.

economics between USA and Europe are widening

No, this article is just about the gap in AI adoption. The closest it says is

And they considered whether the AI adoption gap between the United States and Europe is affecting productivity. The worker surveys suggest perhaps it is. Aggregate time savings (including both AI users and non-users) were 2.3% of hours in the United States versus 1.4% in Europe

"perhaps" there is a gap of 0.9% according to worker surveys. Astonishing. Let's throw trillions more at it, maybe we can save 3 whole percent of hours. Well, according to the extremely accurate measure of worker self-report.

how economics between countries that were slow to adapt emerging tech, specifically AI, are falling behind at a logarithmic pace.

This is based on data from 1970 to 2019. Another article cited is based on data from 2008 to 2017. ChatGPT was released in 2022.

The last study is pretty technical, and I don't have an easy debunk of it, but it also stresses the importance of non-AI factors. It mostly seems to take the idea that the economy will be overtaken by AI as a given.

I’m more concerned with jobs in the best future, tbh

This answer cracked me up, holy shit.

once thiel stops pulling his string.

Glad to be of service.

There could be something like the bc250 coming out of this.

Not the first time you've said that, eh?