The interpeter used used dynamic scoping (borrowed from Le_Lisp)
The compiler was typed and used lexical scoping.
The compiler refused to compile code with dynamic data allocations (no GC, everything allocated on the stack through escape analysis).
@ylecun
-
Dynamic vs Lexical Scoping in Compiler Design
By
–
-
Programming Language Adoption Challenges in Dynamic Loader Development
By
–
1. Maintenance burden. The dynamic loader was difficult to port. The Lisp compiler had limitations, fixing them would have required a major overhaul.
2. Lots of people don't want to learn Lisp, for some mysterious reason.
3. They didn't want to learn Lua either.
4. People want -
Tech CEOs lack expertise in labor economics analysis
By
–
A tech CEO knows as much about labor economics as the head of a Formula 1 racing team knows about thermodynamics.
-
Physicists Missing Major Innovations Like Internal Combustion
By
–
That's like saying "physicists missed the internal combustion engine"
-
AI Revolution Claims: Hype or Genuine Paradigm Shift?
By
–
No! It really doesn't differ qualitatively from previous technological revolutions. That's the whole point. People like Dario present it as qualitatively different.
They are just deluded or biased by their vested interests in magnifying the impact of their work. -
AI as Scapegoat: Trade Uncertainty Drives Job Concerns
By
–
There are many causes for that. AI is a good scapegoat. But uncertainties about international trade is likely a much bigger one.
Technological progress does cause temporary shifts in some jobs, but it never causes long-term mass unemployment. -
Technological Progress Displaces Jobs: Historical Perspective
By
–
"one economist Nobel laureate was wrong once about one thing, therefore all economists are wrong" is not good logic. The whole history of technological progress is one in which people became more productive and some professions were progressively displaced or eliminated. Yet
-
Critical perspective on destructive and dangerous AI practices
By
–
It's still wrong, destructive, and dangerous.
-
Technological Revolution Labor Market Effects Economists Analysis
By
–
Dario is wrong.
— Yann LeCun (@ylecun) 18 avril 2026
He knows absolutely nothing about the effects of technological revolutions on the labor market.
Don't listen to him, Sam, Yoshua, Geoff, or me on this topic.
Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn ,… https://t.co/PI3q8ZsobSDario is wrong.
He knows absolutely nothing about the effects of technological revolutions on the labor market. Don't listen to him, Sam, Yoshua, Geoff, or me on this topic.
Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , -
PyTorch Tensor Architecture: Storage and Multi-Access Design
By
–
The basic structure of a PyTorch tensor is also borrowed from SN/Lush: a storage (a flat array of numbers, for every numerical type) to which one or multiple tensor structures can point, so the same data can be accessed in multiple ways and shared.