The best games have always been vibe coded. Do you think Miyazaki is writing code or using blender? No, he’s telling his team to make rolls sharper, make a character model feel darker, etc. AI doesn’t change any of this.
barry farkus retweeted
“AGI is achieved if AI can do any three of the following” — @GaryMarcus
barry farkus retweeted
as a reminder: humans cannot generate books. They cannot create books. They cannot find new books. The human can only mix words that have already been found and written and input into dictionaries by publishers.
barry farkus retweeted
i was fired from @OpenAI today
if you're looking for an expert in model naming, DMs are open
barry farkus retweeted
"Jensen & team are simply better than anyone else on earth at building super computers"
Framing Nvidia as running as fast as they can “the speed of light” because they’re in a “panic” is a joke
Jensen & team are simply better than anyone else on earth at building super computers. It’s that simple. They move fast because they’re the best
Paying Semianalysis $500 and consuming their slop is actually yielding negative alpha at this point
5 days with no tweets to read his substack. Yann won
This place is toxic.
For the last seven years I warned you that LLMs and similar approaches would not lead us to AGI. Almost nobody is willing to acknowledge that, even though so many of you gave me endless grief about it at the time.
I also warned you -– first –- that Sam Altman could not be trusted, that OpenAI would lose its dominance, that GPT-5 would not be all AGI, and that LLMs lacked world models. That hallucinations would not go away. That out of distribution generalization was THE key issue.
And that the economics of LLMs didn't make sense. And that the LLM companies would start seeking bailouts.
The receipts are all here if you care. As for me, I have had it. If you want to hear other prescient warnings in advance, subscribe to my newsletter Marcus on AI.
Or you can stay here and be lied to; the choice is yours.
> be gary marcus
> claim a bunch of vague unfalsifiable predictions
> say deep learning is hitting a wall 10k times
> switch to LLM scaling is hitting a wall when that becomes too obviously false
> pretend these are the same statement
> bring up “world models” at any opportunity
> do not elaborate
> claim past harassment
> claim you have receipts for said harassment
> do not provide receipts
> crash out on twitter
This place is toxic.
For the last seven years I warned you that LLMs and similar approaches would not lead us to AGI. Almost nobody is willing to acknowledge that, even though so many of you gave me endless grief about it at the time.
I also warned you -– first –- that Sam Altman could not be trusted, that OpenAI would lose its dominance, that GPT-5 would not be all AGI, and that LLMs lacked world models. That hallucinations would not go away. That out of distribution generalization was THE key issue.
And that the economics of LLMs didn't make sense. And that the LLM companies would start seeking bailouts.
The receipts are all here if you care. As for me, I have had it. If you want to hear other prescient warnings in advance, subscribe to my newsletter Marcus on AI.
Or you can stay here and be lied to; the choice is yours.
barry farkus retweeted
Due to an unforeseen naming conflict, we are renaming Project AELLA to Project OSSAS (Open Source Summaries At Scale)
Thank you to those who brought the context surrounding this name to our attention, and to our partners and the research community for their ongoing support.
We're introducing Project AELLA, in partnership with @laion_ai & @wyndlabs_ai
AELLA is an open-science initiative to make scientific research accessible via structured summaries created by LLMs
Available now:
- Dataset of 100K summaries
- 2 fine-tuned LLMs
- 3d visualizer
👇
Wild RETARD appeared!
barry farkus retweeted
every YC founder right now:
barry farkus retweeted
Andrej Karpathy calls AI Agents slop
"Overall, the models they are not there. And I feel like the industry [...] it's making too big of a jump and it's trying to pretend that this is amazing.
And it's not—it's slop!
And I think they are not coming to terms with it. And maybe they are trying to fundraise or something like that, I'm not sure what's going on."




















