Comment Really? (Score 2, Funny) 289
Posted by BeauHD on Wednesday November 26, 2025 @11:40AM from the language-doesn't-equal-intelligence dept
Don't you mean "from the well duh! dept"?
Posted by BeauHD on Wednesday November 26, 2025 @11:40AM from the language-doesn't-equal-intelligence dept
Don't you mean "from the well duh! dept"?
I never said Folding@home was exactly like modern AI algorithms that accomplish the same thing. I used it as an example of datasets being farmed out to many nodes for processing using specific algorithms.
Modern AIs like Alphafold3 are trained using these large datasets, possibly even including results from Folding@home, and applying modern LLM AI algorithms to find results.
The point I was making is that these AIs are trained on a specific set of datasets and targeted towards a specific purpose. Unlike general purpose AIs which are trained on the garbage heap of the Internet and only occasionally find a nugget of gold
Again tldr; AI trained on specific datasets: Useful. AI trained on the Internet: Crap
But what I am really impressed about is the fact that AI has made huge scientific discoveries.
Even if you don't use AI at all. Are you not impressed that AI solved protein folding (a Nobel prize problem)? Are you not impressed that AI is next used to discover new drugs that work exactly to the problem and because we know all human proteins, we can also let the AI test for side effects. And once the system is up and running, we can just let it solve all known deceases.
I am impressed that algorithms trained on specific datasets have improved to the point whereby they can find solutions to protein folding, or discover new drugs. The principle is not new however, it has just vastly improved in speed and efficiency
You may or may not recall Foldit@home or Seti@home which used a similar principle, but spread it out amongst many nodes.
These are instances of using large datasets from within a specific field where the algorithms of AI are useful and certainly impressive
What is not impressive however, are the LLMs trained on datasets taken from every corner of the Internet and then pretend to have all the answers. There is a large amount of slop/crap/bs on the Internet and these general purpose AIs are not trained to tell the difference between that and useful/factual data.
Sure if you want it to write a piece of fiction (though the output may not actually be worth reading), or to create a piece of artwork it will likely perform well. But if you're using it for serious work/research then much of the time you will get slop. Garbage In/Garbage Out
tldr; AI trained on specific datasets: Useful. AI trained on the Internet: Crap
What the hell is a Jiggawatt?!
97.94% of the energy required to power a Flux Capacitor fitted to a Delorean going at 88 miles per hour in order for it to leave 1955 and instantly arrive in 1985.
Next up: An emacs clone
They already have an OS - what they need is an editor
* Mark 10:8,9: When a man and a woman marry, they are joined together by God and no one should break what God has joined
Sorry that's not a definition of marrige. That's just a clause added for a marriage between a man and a woman. It does not exclude marriage between a man and a man, or a woman and a woman - except perhaps that those are not joined by god?
I meant the film. Having precogs be living beings.
They were living beings in the book too - just "slightly" more mutant that the film
Forgot to pile on by asking how long it might be before they whip the Compaq name as something new and innovative?
Why stop at Compaq? Bring back DEC
There is when their prime directive is "be helpful to users whether they want it or not."
Clippy? Is that you?
To program is to be.