Its just a pile of math. They need to stop using the word intelligence. Intelligent and smart are the buzzwords these morons all crave when consuming the billionaire owned production lines like good little cattle. Train a dog. Theres some real AI. Or don’t. Idgaf.
Stop running LLMs attached to an unsupervised eval yolo harness in an endless loop you fucking dinguses.
Of course they want to hype their shit. Pretend the sky is falling (when it’s not) so that you need regulation on AI so that open source and Chinese companies can be blocked out. Get that lock-in before the bubble bursts, fuck yeah.
Just yesterday AI told my brother that a run of 4 in crib is actually 2 runs of 3. I made him pull out the book and look up the rules because I knew that was wrong.
Why even use it if you have to double check everything it says?
Why even use it if you have to double check everything it says?
I have some bad news for you about how other people are using AI.
“AI” is not one thing, just like trusting one website is not trusting another website
Why use the internet when sometimes the thing posted is wrong?
Because you can judge the source of the information yourself, whereas with AI, who tf knows?
What I do know is that it’s wrong enough that I should double check everything it says.
That’s a very good rule for everything you read
Or the technology has plateau’d and this is their cover story. I don’t know, but these two people are known liars.
They’re out of money and this is their cover story.
Model collapse is finally landing.
But…but… GPT6 Astra is AGI! I swear!
GPT6 couldn’t even make me the most simple blueprint for merging 8 belts into 4 in Factorio. AGI it is most certainly not.
I refuse to pay for AI, so I only use the freely available GPT, and I can’t comment on coding or other technical capabilities, but I feel like in the last couple of months, it has actually become dumber.
For some time now I think its been the case that frontier models perform worse (or at least more inconsistently) at procedural activity.
LLM’s plateaued quite some time ago. Everything since has been an attempt to keep the hype going.
Yeah they spent a few years fine tuning but the gains were limited from the start.
deleted by creator
The one thing that hasn’t plateaued yet is the ability of open models running on a gaming PC to match OpenAI and Anthropic are doing. I just watched a video on the Codacus YouTube channel where the guy is running Qwen 3.8 Flash, a 177B model, on his RTX 3060.
At what quantisation? You’re most likely better off running 27b dense or 35 moe
3 bit and it performed like Opus 5 according to his tests, though likely not at that level on every task.
My first thought also.
Half a year ago Musk was saying this is a hard take-off for AI, what means AI would improve itself and you basically can’t stop it anymore. Now he says he wants a pause. The hard take-off seems to have fallen flat.
AI has never improved, nor will it ever. There’s nothing to worry about.
Once again… Because Chinese models keep forcing US AI companies to prematurely release their backstock of “future” iterations, meant to sustain the hype train: leading to plateauing, decreases in investor confidence, and ultimately the demise of the AI bubble. And are we referring to Sam Altman as “OpenAI boss” now? Because people might otherwise stop reading after: “Sam Altman says…”
“Everyone else please stop development whilst we continue!”
