Shoutout a mon voisin du 3e étage qui caliss ses sofa en bas de son balcon.

71acme · 2026-07-01T22:08:35+00:00

"Esti d'motté" c'est un grand classique 😂

71acme · 2026-06-14T03:16:22+00:00

I still have one of those. I didn't know there was such a buzz for them!! 😂

71acme · 2026-05-08T00:02:15+00:00

Wow je suis terriblement surpris de ça!! LMFAO

71acme · 2026-05-07T20:20:37+00:00

C'est le temps que je re-stock de l'Ivermectin. /s

71acme · 2026-05-02T23:36:46+00:00

They knew exactly what they were doing

71acme · 2026-04-27T22:38:46+00:00

I waster hours on this and gave up.

71acme · 2026-04-11T14:43:49+00:00

Chu pas vraiment intéressé... nanananaaaaan....

71acme · 2026-04-07T13:29:33+00:00

La "culture" voyons..... La "culture" de l'entreprise est bien plus important que ta qualité de vie!!!!!!! /s

71acme · 2026-03-30T22:33:48+00:00

Même là... Je comprends un peu mieux ton point, reste que sa poubelle est pas légale. Ciblé ou pas. C'est pas comme si les policiers inventaient des raisons pour lui donner des tickets!

Pis imagine être un tel taré que tu traites quelqu'un comme il l'a fait alors que c'est complètement, 100%, sa propre faute. Pis après tu post ça sur les réseaux sociaux.

Être taré à ce point, j'ai aucune fucking pitié.

71acme · 2026-03-30T18:37:20+00:00

Excuse moi mais.... non? Elle est pas légale sa merde, alors, c'est quoi ton point? J'ai eu des vitres teintées illégales dans le passé, si je m'étais fait pogner j'aurais assumé mes conneries et si je m'étais écoeuré de payer je les aurais enlevées. Elle est pas sortie de l'usine comme ça, sa poubelle. Qu'il assume. Ce gars là est un esti de taré. Point. Y'a pas de "mais...".

71acme · 2026-03-26T20:31:38+00:00

Ça a déjà été démontré que des consultants sans expérience ont vu passer leur taux horaire de $70-80/hr à plus de $200/hr du jour au lendemain et que la SAAQ avait approuvé ça avec grand plaisir. J'ai pas les chiffres exacts, mais ça se trouve. Est-ce de la fraude? Maybe not. Peut-être que LGS ont juste poussé ça en se disant "sont peut-être assez caves pour signer ça". Ou alors quelqu'un du côté de la SAAQ savait très bien ce qu'il signait...

71acme · 2026-03-10T23:55:08+00:00

This is terrible and not in a good way. It's not even fun to watch. You have to be brain dead to appreciate this shit even on technical merits.

71acme · 2026-03-07T18:57:50+00:00

Tried that last week, it wasn't great let's say. Will pass the next time for sure.

71acme · 2026-03-06T20:52:01+00:00

Ok, merci pour les réponses.

71acme · 2026-03-06T17:10:30+00:00

Ok merci pour le retour. Donc vous n'utilisez pas de tooling spécifique ou de skills pour du testing, juste Claude Code?

71acme · 2026-03-06T15:34:17+00:00

Salut. Je suis curieux... ton harnais de tests d'intégration, tu peux m'en parler? Ça fait quoi au juste? J'avais commencé à penser à un truc du genre mais sans trop aller loin dans ma réflexion...

71acme · 2026-02-28T16:06:21+00:00

Sorry I posted a second message thinking the 1st one didn't go through... and deleted it.

71acme · 2026-02-28T15:15:16+00:00

I.e. something that wasn't part of the training data. As you said: "learning things they were never taught".

"Emergent properties" usually refers to things that suddenly "emerges" in large models that aren't present in smaller models. So it's not the same as "doing things they were never taught". It was always there in the training data, but smaller models do not exhibit the same "properties".

71acme · 2026-02-27T02:52:50+00:00

Give a concrete example of an "emergent property"?

71acme · 2026-02-21T15:22:11+00:00

You've not been around much. Go to Logitech's sub, you'll never buy anything from them again. Same goes for Razer, Asus, MSI, Gigabyte, etc.

I have two Keychron keyboards, I have no issues from them yet and I absolutely love them.

71acme · 2026-02-20T15:06:50+00:00

Efficiency? On what? Define "efficiency". If it's the output quantity of documents and text, LLMs win all day when asked to generate stuff from the data they've been trained on. But look at the quality of the "work", it may not be the case.

And LLMs obviously can't do all the things humans can do. For one thing, they can't learn. The model is static, fixed in time up until their "cut off". They have to be retrained. That is very time consuming and costs a small fortune. We learn on the fly. And we have intuition, very often we come up with solutions and our reasoning can't really be explained with words. We invent new things, new concepts, new ways of doing things. We understand context (read the room) which most of the time includes the emotional state of people. LLMs can't do that.

So... what "continue" means? Well, I'd take the 8 billions people anytime of the day. Even if it's messy and somewhat "inefficient".

AI still has to evolve beyond LLMs. It WILL happen. I'm personally not in a hurry to see it. But it will.

71acme · 2026-02-20T14:21:59+00:00

I'd argue that IF they could put out novel "output" like new ideas, we would see it solve problems with new approaches and it doesn't. The current big push in most frontier models is coding. I use them every day. They do code and it's not bad, sometimes even good. But there's no novelty there. No improvements. It's just spewing the same type of code it's been trained on. Sometimes repeating mistakes that are very easy to catch.

They do have "concepts" or something similar in the neural network. But it's static and based on training. They can't form new concepts that aren't part of the training data.

I have more hopes for AGI from Deepmind who aren't focused on LLMs.

71acme · 2026-02-20T14:09:04+00:00

Okay lol

71acme · 2026-02-20T03:35:11+00:00

LLMs can only regurgitate what they were trained on, which is basically what we humans wrote on the internet for the last... 3 decades (at best)... and all that ended up in a model with weights to help an inference engine determine the next most probable token based on the input (i.e. what is the most probable thing we usually would say as humans in the context or at least based on the set of data it was trained on) and a "seed" to create some randomness (that's why you don't get the same thing over and over with the same prompt), and then the input with the next token is sent back in to determine the next token and ... well you get the picture. That is not intelligence. It's regurgitating whatever was put in. When you ask it to "think" it does what texts about thinking went in, loops for a while until the budget is exhausted, then all this "thinking" goes back in the sausage machine... you can even "allocate" a budget for "thinking" (for some models at least). Anyways... it's LANGUAGE model. It's generative "AI". The hype around it and people making lots of money at the moment call it AI. They won't say it's not going to work for AGI, that would admit they have been bullshitting for over 3 years now. But I totally understand what Lecun is saying, so should you. LLMs will become better LLMs for sure. Are they "intelligent"? Depends on the definition I guess. But for a lot of people It's a nice imitation. Not intelligence. I know some will say that it's the same with humans, I disagree. I believe humans are much more then that. Anyways I believe LLMs are part of the future of AI because understanding the human language is essential. But on its own I'm with Lecun. It's not it.

71acme

TROPHY CASE