More like, "back when software came in physical media".
Putting the CD in the drive, the installation starts, and that wow effect starting the game, the hard disk clicking like crazy.
6,705 karma · joined May 9, 2012
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Technical Lead, TL, or how I prefer it, Teaspoon.
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More like, "back when software came in physical media".
Putting the CD in the drive, the installation starts, and that wow effect starting the game, the hard disk clicking like crazy.
To be fair, the whole thread is about tolerating Apple because how good the hardware is :)
I'm not exaggerating, I had so many horrible experiences.
They were/are not great. While I agree that spending extra 10 minutes improves the results, AI stuff are also not amazing. I think there's nothing surprising about this.
I don't really know what I'm talking about but I imagined the difference was always quantitative (in a nutshell: they need less time).
I thought, something like a medication helping the women develop the baby in 30 days, but seriously damages the host in a couple of days, so the fetus gets transferred from host to host. Some die, but the evil rich don't care. Your idea could also work though.
I realize that this is totally the wrong corner of the internet to post this but I guess today I'll just go with it.
From a completely technical perspective, we have a rough idea how the LLMs work, and improving a system requires measuring outcomes and you don't necessarily need to understand the mechanism.
EXPLAIN ANALYZE against data that's similar in size to prod checks a query written by an LLM as good as anything we can write... but, yes, you're right, we still didn't solve the halting problem - neither the LLMs.
I just find the "all llms are non dererministic and therefore unreliable" narrative a bit backwards. All software that has more than 0 users needs to deal with non-determinism anyway :)
By people with a specific skill set. LLMs generation can also be fixed and verified by people with a certain skill set, and non-deterministic computing doesn't automatically mean unpredictable. When people say that the LLMs are a black box, it means unpredictability in unknown situations.
You do structured output, input validation, output validation, lower temperature, limit decisions, RL, etc. to increase predictability to near certainty. It's just statistics after all. Or you can as well generate the code to do the job.
It's just that the required skill set is a different one to do those things, and unusual in the context of DB administration.
This may sound insignificant to many but for the extremely lazy like me, this is the difference between going to waste and being consumed for many fruits.
Also gives the same information. BTW the dude is a legend, I had lessons from him in university, he could speak like 12 languages or something.
For example in Turkish, "tarife" means only that: Conditional / Schedule-based pricing, and according to Sevan Nişanyan (a language researcher), Turkish borrowed it from Italian, where it was being used similarly. Import tariffs are a completely different word.
It apparently came to English through Italian -> Spanish -> French.
So I'm not a native English speaker but as far as I understand, import tariffs are just one kind of tariff.
ps. I just f'ing love Etymology.