@Varpie

🪨 @Varpie@peculiar.florist

4mo

@resuna @petealexharris @munin You're assuming that there is no other context provided with the question, and that the training does not take into account that context. If I had to train for this specific question, I'd make sure to score positively answers that are relevant to the previous context. Which is what happens, and why it is a valid question to ask your LLM if you want some insight into the context that isn't shown in the UI but still in the discussion.

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🪨 @Varpie@peculiar.florist

4mo

@munin @petealexharris Sure, I'll go touch some grass and talk to my therapist about this philosophical horseshit :meow_ok_fine:

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🪨 @Varpie@peculiar.florist

4mo

@arstechnica Well... a 71.5% increase in price for the 50% increase in memory isn't quite "nearly double". But $500 for a 4GB upgrade is still absolutely insane.

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🪨 @Varpie@peculiar.florist

4mo

@petealexharris I totally agree with you. And that is also a very different take from the beginning of the discussion, where Fi said that querying LLMs for "why" it does something is "thrice-divorced from reality" and "fucking delusional" and that people doing that should "touch some grass and get a fucking therapist"...

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🪨 @Varpie@peculiar.florist

4mo

@petealexharris @munin You misread me. Whether the model "understands" the question is a philosophical question. The non-philosophical question of whether it can give a useful answer is the relevant part, and my whole point is that pointing at the philosophical aspect to belittle people that look at the practical part, assuming that they don't understand it, is dumb.

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🪨 @Varpie@peculiar.florist

4mo

@EUCommission That's great! Now please make sure to also tell them no to make "side-loading" (the loaded term for installing without the proprietary store) a nightmare, because without that, they can still just decide which AI providers (or anything else...) are available to install, which would make this measure useless.

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🪨 @Varpie@peculiar.florist

4mo

@petealexharris @munin "Why" is definitely a word from the training data, and "why did you do that?" is definitely also part of things asked a lot, that OpenAI and others have trained on, so my point still stands that it is a valid question to ask. Whether the model "understands" the question is just a philosophical question that is irrelevant for the fact that it is a useful question. Of course if you're using it in Prod and it deletes your DB and you think it understands and can improve itself, there are plenty of things you'd need to be corrected on, but saying that everyone asking that question is delusional is just wrong.

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🪨 @Varpie@peculiar.florist

4mo

@petealexharris @munin When you ask an LLM "why is the sky blue?", it is statistically likely to give a correct answer. It still works the same way, computing probabilities of what the next token is, but the "why" has a semantically significant weight that influences the output, so it is an important keyword. It doesn't have to "understand" it, it just has to be trained in a way that makes it significant. You don't have to believe that it understand things to know that it is trained on human language and will behave correctly when fed human language.

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🪨 @Varpie@peculiar.florist

4mo

@petealexharris @munin Where did I say they'd understand a better prompt?

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🪨 @Varpie@peculiar.florist

4mo

@petealexharris @munin Clearly you've never tried it yourself...

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🪨 @Varpie@peculiar.florist

5mo

@munin Well... As you mentioned, each generation "reads the prompt and any cache, if they exist, from prior session", and since they were trained on "explaining" their previous outputs to sound like a relevant discussion, asking why a model gave a specific output isn't as stupid as you make it out to be, as it can give some input on the "thinking" part of the previous output that is usually not directly visible. That can then be used to tweak prompts and add some guardrails (even though there is a fairly long list of examples of guardrails not being fully effective). Of course, the first problem is giving access to prod to an unreliable system...

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🪨 @Varpie@peculiar.florist

5mo

@SteamDB Holy shit finally the wait is over (at least partially)

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🪨 @Varpie@peculiar.florist

5mo

@bagder Surely, that projection isn't correct because there is a big batch of things being found now and it will dwindle down after that... Can we really expect multiple breakthroughs in tooling and breakthroughs in classes of vulnerabities this year?

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🪨 @Varpie@peculiar.florist

5mo

fronce

@tournesol Ah ben oui hein, on n'est pas un réseau pour adultes ici, il faut rester sur ce qui est socialement accepté pour bien éduquer les enfants qui pourraient nous lire.

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🪨 @Varpie@peculiar.florist

5mo

corrompu

@tournesol Ah oui un petit pot de vin ça aide bien

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🪨 @Varpie@peculiar.florist

5mo

innocent

@tournesol Et si la personne ne fume pas ?

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🪨 @Varpie@peculiar.florist

5mo

@tournesol Moi ces temps ci quand je vais en soirée je ramène mes propres bières, vu que c'est sans alcool personne n'y touche :chick_ohoho:

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🪨 @Varpie@peculiar.florist

5mo

@tournesol En vrai oui hein, passe aux bières sans alcool il y en a des correctes, moi je suis passé de "je bois de l'alcool parce que c'est social" à "je bois de l'alcool seulement quand je veux apprécier le verre" et ça change tout.

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🪨 @Varpie@peculiar.florist

5mo

@box464 You can even have that in the middle of the path, so you could have written it as mkdir -p cool-fedi-project/{postgres,redis}-data

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🪨 @Varpie@peculiar.florist

5mo

@grifdail Il manque le 0

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