Is it wrong that I hope it eats itself and implodes?
You’re rooting for a revolutionary new technology to fail rather than get better. I’d call that wrong.
If nothing else, AI is never going to get worse than it is now. So if that’s intolerably bad for you then improvement is the only way out.
AI is never going to get worse than it is now
Is that just a wild assumption, or…? One phenomena that has already been witnessed with AI is that it does in fact get worse if it trains upon it’s own output.
Given that I have locally-run AIs sitting on my home computer that I have no plan to delete (until something better comes along), then yeah, it’s never going to get worse. If all else fails I can just use the existing AI for as long as I want. It doesn’t “wear out.”
It doesn’t “wear out.”
The physical components will, and compatible components for older systems keep getting harder to come across. Computers are not immortal entities. Maintenance of older machines will continually become more labour and cost intensive over time.
Computers are general-purpose machines. You can run a computer program on any computer, it may just be faster or slower depending on the computer’s capabilities.
The AIs I run locally are also open-source, so if future computers lose compatibility with existing programs they can be recompiled for the new architecture.
I suppose we could lose the ability to build computers entirely, but that strikes me as a much bigger and more general issue than just this AI thing.
You can run a computer program on any computer
Incorrect. Certain programs require certain standards for how the hardware is designed. There are already lots of old programs which can’t be run natively on modern machines, and using software to emulate a compatible environment can impact performance in more ways than just speed.
You’re wildly wrong about the fundamentals of computer science here. I’d be starting from first principles trying to explain further. I recommend reading up on Turing machines, or perhaps getting ChatGPT to explain it to you.
The models are digital, making copies for safekeeping is easy.
The hardware is a computer, and computers are general-purpose. The kind that run AI models well at infrastructure scale are rather high end, but are still available off-the-shelf.
You’re rooting for a revolutionary new technology to fail rather than get better
As long as the oligarchs who run and own these AI systems are at the helm, yes I’m rooting for it to fail. Better is in the eyes of the beholder. Because come on, we all know better is going to be defined as better for the oligarchs, not you or me.
I run my own AI models on my own home PC. Am I an oligarch?
Why do you feel this way?
Look at my profile for one reason and look at this video for another: Jon Stewart On The False Promises of AI | The Daily Show
In other news, the world’s wealthiest people are running out of money after burning through the entire planet. Sources say one of the world’s multi-billionaires purchased a law firm that was in bed with the RIAA roughly 10-15 years ago when music piracy was supposedly costing more money than the GDP of all the peoples of the world, combined. “The Owners” (as they have recently rebranded) have decided to collect on this unpaid debt from every living soul, and from all the multinational companies who have been long-established as having no living souls whatsoever. A nameless, faceless, pitiless representative was quoted as saying: “Resistance… is futile. Your life, as it has been, is over. From this time forward, you will service… us.”
How is the entire internet not enough to have perfected this shit?
While the article makes a big deal about a lack of data and even hint at synthetic data as an option, the truth is synthetic data is already being used and is just as good apparently at training. Such a misinformation article designed to stir the AI haters especially the headline.
They seem to be experimenting with that for sure, but need to ensure quality of the model doesn’t degrade, as per source article:
Anthropic’s chief scientist, Jared Kaplan, said some types of synthetic data can be helpful. Anthropic said it used “data we generate internally” to inform its latest versions of its Claude models. OpenAI also is exploring synthetic data generation, the spokeswoman said.
Source WSJ article without paywall:
https://archive.is/R06ayImo we’ve clearly hit a limit with vertical scaling of data. We need some kind of breakthrough on better ways to process what data we’ve got if we want to continue making meaningful progress.
So, basically, back to the way the field was for the preceding 60 years.
