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What I fear is, with Elongated Muskrat being dangerously close to the government and being invested in AI, we will get them immediately bailed out and/or consolidated into even less hands, even more deregulations, and maybe even some changes to copyright so it will expcilitly will allow not only the training on such material, but also the copyrighting of the output of generative AI.
please just burst already.
Been edging this bubble for years
It’s gonna be NICE
It’s gonna be real NYSE
New year second edition?
New York stock exchange
Now imagine how people who’ve waited for the bitcoin bubble to burst feel
Me waiting for the housing market: 💀
Pop that bastard asap
Every single company pouring money into the incinerator is positive they’ll be the one to crack actually useful AI or even actual GAI.
I mean LLMs are already very useful when used correctly, it’s just 98% of the time they aren’t used correctly
We’re talking about the bubble here, not reasonable use cases. :-)
How do I use it “correctly”
We used one to come up with a name for a feature cocktail at work. It’s pretty good for that kind of stuff.
I had some files that i knew had duplicates, but didn’t exactly match and while the filenames were not identical, you could tell by looking if they were the same.
Would have been very tedious to do all of them, LLM was able to identify a “good enough” number of duplicates and only made a few mistakes. Greatly sped up the manual work required to clean up the collection.
But that’s so far from most advertised scenarios and not compelling from a “make lots of money” perspective.
There are (non-AI) algorithms for that. Git uses one to detect renames. No need to melt the ice caps just for that.
This was after applying various mechanisms of the traditional kind. Admittedly there was one domain specific strategy that want applied that would have caught a few more, but not all of them.
The point is that I had a task that was hard to code up, but trivial yet tedious for a human. AI approaches can bridge that gap sometimes.
In terms of energy consumption, it wouldn’t be so bad if the approaches weren’t horribly over used. That’s the problem now, 99% of usage is garbage. If it settled down to like 3 or 4% of usage it would still be just as useful, but no one would bat an eye at the energy demand.
As with a lot of other bubble things, my favorite part is probably going to be it’s life after the bubble pops. When the actually useful use cases remain and the stupid stuff does out.
They’re decent at language tasks. So, if you provide them with all the information and configure them to not make up any of their own, then they can do things like rewriting it in a different style or different language relatively competently.
and configure them to not make up any of their own
That’s the trillion dollar puzzle nobody has been able to solve yet. It’s not trivial at all, even when it seems like it should be.
You use it for pointers and double check the results. I’ve had a lot of luck using it to explain terminology for complicated specialized tasks for trades work and stuff recently.
"Correctly " is a term that has several different uses and meanings. Depending on the context, “Correctly” can mean:
Nah. They just believe it will make stock values increase (or that not doing thr AI thing will cause stock values to decrease).
Remember, a publically traded company produces shareholder value. How they do it doesn’t matter.
Imagine how much more valuable alphabet stocks would be if they hadn’t destroyed the core design and user experience of their search engine 😅
Most of the current value of AI comes from the fact that Google is useless now.
i really really do not trust any of those cunts with agi.
my only hope for AGI is that it gets open sourced and is easily runnable on sub $10,000 hardware.
How is Nvidia so high up the chart?
The people selling the shovels made more money than the miners during the gold rush. It’s the same thing here. If you want to do AI at any sort of scale, Nvidia is really your only choice because AMD and Intel sat on their hands for so long.
All the profit, zero risk. Selling shovels is always better.
Except when no one wants shovels anymore.
That’s the trick, people will always want shovels. Even after the gold rush ends, the only difference is demand for shovels goes back to normal, it doesn’t disappear.
It is a shock, but at least they received their money without being left holding the bag. They have a committed backlog over a year long, they seem to be avoiding manufacturing more than they have already sold …
Ahh, right.
There are some legit use cases for AI, so they will no doubt make a decent amount of money in the future from it.
Ai bubble
When the AI bubble burst, they’ve already made their cash selling shovels (being very anticompetitive) and walk away. Their startup competitors wither, and they are set for the next “thing.”
Anticompetitive? Nobody showed up to compete. Nvidia has been developing Cuda and AI tools for many years. AMD and Intel ignored the market segment because it was a niche market for so long.
Gpu’s
Removed by mod
LOL
