Makes sense that the company that just announced their qbit advancement would be disparaging the only "advanced" thing other companies have shown in the last 5 years.
this post was submitted on 26 Feb 2025
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He probably saw that softbank and masayoshi son were heavily investing in it and figured it was dead.
That's because they want to use AI in a server scenario where clients login. That translated to American English and spoken with honesty means that they are spying on you. Anything you do on your computer is subject to automatic spying. Like you could be totally under the radar, but as soon as you say the magic words together bam!...I'd love a sling thong for my wife...bam! Here's 20 ads, just click to purchase since they already stole your wife's boob size and body measurements and preferred lingerie styles. And if you're on McMaster... Hmm I need a 1/2 pipe and a cap...Better get two caps in case you cross thread on.....ding dong! FBI! We know you're in there! Come out with your hands up!
The only thing stopping me from switching to Linux is some college software (Won't need it when I'm done) and 1 game (which no longer gets updates and thus is on the path to a slow sad demise)
So I'm on the verge of going Penguin.
Yeah use Windows in a VM and your game probably just works too, I was surprised that all games I have on Steam now just work on Linux.
Years ago when I switched from OSX to Linux I just stopped gaming because of that but I started testing my old games and suddenly no problems with them anymore.
Just run Windows in a VM on Linux. You can use VirtualBox.
What software / game is that? it could still run in Wine or Bottle.
You're really forcing it at that point. Wine can't run most of what I need to use for work. I'm excited for the day I can ditch Windows, but it's not any time soon unfortunately. I'll have to live with WSL.
But..... i am still curious.. what are you trying to run 😆
I've been working on an internal project for my job - a quarterly report on the most bleeding edge use cases of AI, and the stuff achieved is genuinely really impressive.
So why is the AI at the top end amazing yet everything we use is a piece of literal shit?
The answer is the chatbot. If you have the technical nous to program machine learning tools it can accomplish truly stunning processes at speeds not seen before.
If you don't know how to do - for eg - a Fourier transform - you lack the skills to use the tools effectively. That's no one's fault, not everyone needs that knowledge, but it does explain the gap between promise and delivery. It can only help you do what you already know how to do faster.
Same for coding, if you understand what your code does, it's a helpful tool for unsticking part of a problem, it can't write the whole thing from scratch
LLMs could be useful for translation between programming languages. I asked it to recently for server code given a client code in a different language and the LLM generated code was spot on!
For coding it's also useful for doing the menial grunt work that's easy but just takes time.
You're not going to replace a senior dev with it, of course, but it's a great tool.
My previous employer was using AI for intelligent document processing, and the results were absolutely amazing. They did sink a few million dollars into getting the LLM fine tuned properly, though.
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R&D is always a money sink
It isn't R&D anymore if you're actively marketing it.
Uh... Used to be, and should be. But the entire industry has embraced treating production as test now. We sell alpha release games as mainstream releases. Microsoft fired QC long ago. They push out world breaking updates every other month.
And people have forked over their money with smiles.
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Especially when the product is garbage lmao
It is fun to generate some stupid images a few times, but you can't trust that "AI" crap with anything serious.
I was just talking about this with someone the other day. While it’s truly remarkable what AI can do, its margin for error is just too big for most if not all of the use cases companies want to use it for.
For example, I use the Hoarder app which is a site bookmarking program, and when I save any given site, it feeds the text into a local Ollama model which summarizes it, conjures up some tags, and applies the tags to it. This is useful for me, and if it generates a few extra tags that aren’t useful, it doesn’t really disrupt my workflow at all. So this is a net benefit for me, but this use case will not be earning these corps any amount of profit.
On the other end, you have Googles Gemini that now gives you an AI generated answer to your queries. The point of this is to aggregate data from several sources within the search results and return it to you, saving you the time of having to look through several search results yourself. And like 90% of the time it actually does a great job. The problem with this is the goal, which is to save you from having to check individual sources, and its reliability rate. If I google 100 things and Gemini correctly answers 99 of those things accurate abut completely hallucinates the 100th, then that means that all 100 times I have to check its sources and verify that what it said was correct. Which means I’m now back to just… you know… looking through the search results one by one like I would have anyway without the AI.
So while AI is far from useless, it can’t now and never will be able to be relied on for anything important, and that’s where the money to be made is.
Even your manual search results may have you find incorrect sources, selection bias for what you want to see, heck even AI generated slop, so the AI generated results will just be another layer on top. Link aggregating search engines are slowly becoming useless at this rate.
Ironically, Google might be accelerating its own downfall as it tries to copy the “market”, considering LLMs are just a hole in its pocket.
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YES
YES
FUCKING YES! THIS IS A WIN!
Hopefully they curtail their investments and stop wasting so much fucking power.
I think the best way I've heard it put is "if we absolutely have to burn down a forest, I want warp drive out of it. Not a crappy python app"
Correction, LLMs being used to automate shit doesn't generate any value. The underlying AI technology is generating tons of value.
AlphaFold 2 has advanced biochemistry research in protein folding by multiple decades in just a couple years, taking us from 150,000 known protein structures to 200 Million in a year.
I think you're confused, when you say "value", you seem to mean progressing humanity forward. This is fundamentally flawed, you see, "value" actually refers to yacht money for billionaires. I can see why you would be confused.
Well sure, but you're forgetting that the federal government has pulled the rug out from under health research and therefore had made it so there is no economic value in biochemistry.
How is that a qualification on anything they said? If our knowledge of protein folding has gone up by multiples, then it has gone up by multiples, regardless of whatever funding shenanigans Trump is pulling or what effects those might eventually have. None of that detracts from the value that has already been delivered, so I don’t see how they are “forgetting” anything. At best, it’s a circumstance that may play in economically but doesn’t say anything about AI’s intrinsic value.
Was it just a facetious complaint?
OK yeah but… we can’t have nice things soooo
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