@HowToAI_: Yann Lecun published the most heretical AI paper of the year. He opens by arguing Magnus Carlsen isn't good at chess an…
Summary
Yann LeCun and co-authors published a paper arguing that the AI industry should abandon the goal of AGI, proposing instead Superhuman Adaptable Intelligence (SAI) focused on specialized adaptation beyond human capabilities.
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Cached at: 06/11/26, 01:56 PM
Yann Lecun published the most heretical AI paper of the year.
He opens by arguing Magnus Carlsen isn’t good at chess and only gets more unhinged from there.
The Turing Award winner and his co-authors dropped a paper demanding the AI industry abandon its biggest obsession, AGI.
Right now, everyone from Silicon Valley CEOs to politicians assumes AGI is the ultimate goal. A machine that can do everything a human can do.
LeCun argues that this entire concept is a biological illusion.
Humans do not possess “general” intelligence. We are highly specialized biological machines, tuned by evolution simply to survive in the physical world.
We only think our intelligence is “general” because we are completely blind to the millions of cognitive tasks we are incapable of comprehending.
Which brings us to the chess argument.
Magnus Carlsen is the greatest human chess player in history. But compared to a modern computer? He is fundamentally terrible.
Our belief that Carlsen is “good” at chess is pure human-centric bias. He isn’t objectively good. He’s just better than the rest of us, who are biologically awful at it.
LeCun says we need to stop building AI to mimic human generality.
Instead, he proposes a new North Star: SAI.
Superhuman Adaptable Intelligence.
Instead of trying to build a machine that mimics our flawed, biologically-limited brains, we need to embrace extreme specialization.
SAI is about the speed of adaptation.
It is an intelligence that can learn to exceed humans at any specific, economically important task.
More importantly, it is designed to fill the vast skill gaps where humans are fundamentally incapable.
Things like managing global energy grids in real-time. Or predicting complex molecular structures.
The entire AI industry is obsessed with building a digital reflection in our own image.
LeCun’s paper is a brutal wake-up call.
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