Yeah that’s if you were to try to bruteforce the entire keyspace one key at a time. Nah. You’d look for sidechannel attacks which could reduce the keyspace by many orders of magnitude before starting.

Nah - the english language is just full of ambiguities that people tend to understand through context or intonations from speaking that are lost in text

… what?

Yeah like basic communication and the general concept of democracy.

Did you even read my earlier comment?

I explicitly meant “as”. It’s great as autocomplete. Not as an agent to complete programming tasks.

Well, this kind of AI won’t ever be useful as a programmer. It doesn’t think. It doesn’t reason. It cannot make decisions besides using a ton of computational power and enormous deep neural networks to shit out a series of words that seem like they should follow your prompt. An LLM is just a really, really good next-word guesser.

So when you ask it to solve the Tower of Hanoi problem, great it can do that. Because it saw someone else’s answer. But if you ask it to solve it for a tower than is 20 disks high it will fail because no one ever talks about going that far and it flounders. It’s not actually reasoning to solve the problem - it’s regurgitating answers it has ingested from stolen internet conversations. It’s not even attempting to solve the general case because it’s not trying to solve the problem, it’s responding to your prompt.

That said - an LLM is also great as an interface to allow natural language and code as prompts for other tools. This is where the actually productive advancements will be made. Those tools are garbage today but they’ll certainly improve.

Oh good. I’m glad we can just let 3M give microplastics to children in Indonesia once we all decide to quit our pack a day habit. Plus it’ll be nice to not be asked by the hostess if we want to sit in the microplastics or non-microplastics section of the restaurant anymore.

It’s even better because you can pop in whatever fat you want. If you toss the salt in there while popping then it’ll evenly distribute across your popcorn as well.

Some FOSS projects are supported by having a for-profit company offer turnkey packaging and support for those projects. Look at TrueNAS. They sell nice NAS hardware preconfigured with their software and the profits support the development.

All of the M$ office apps have premium features now too. Pay extra monthly and you can use python in excel. Pay extra monthly and Teams will… I dont even know because I closed that popup so fucking fast. FFS my company must pay M$ at least 7 figures a year - why are they trying to nickel and dime us?

Yeah now we’ve gotta use the pickle.

Oh my god it is real!

https://xkcd.com/1813/
https://emojikitchen.dev/

Machine learning based pattern matching is indeed very useful and profitable when applied correctly. Identify (with confidence levels) features in data that would otherwise take an extremely well trained person. And even then it’s just for the cursory search that takes the longest before presenting the highest confidence candidate results to a person for evaluation. Think: scanning medical data for indicators of cancer, reading live data from machines to predict failure, etc.

And what we call “AI” right now is just a much much more user friendly version of pattern matching - the primary feature of LLMs is that they natively interact with plain language prompts.

What about when the sex is … wrong?