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Source record · 2026

Learning Abstractions: A Conversation with Yann LeCun

Yann LeCun and James Manyika

Read the original Publication page
Type
Original interview · architecture argument
Publication
Dædalus / American Academy of Arts and Sciences
Version used
Version consulted on 23 October 2026
Source date
2026
Recorded in Atlas
23 October 2026
License
Linked original; no full text reproduced. Original Atlas charts use attributed aggregate facts.

Winter/Spring 2026. LeCun is an NYU professor and AMI Labs executive chairman, formerly at Meta; Manyika has Google ties. Institutional publication does not remove those interests. No separate validity period has been established for the finding.

How Atlas uses this source

AI agents and the future of the internet

Discussion of world models, abstraction and planning; participant biographies

Winter/Spring 2026. LeCun is an NYU professor and AMI Labs executive chairman, formerly at Meta; Manyika has Google ties. Institutional publication does not remove those interests.

Open the source passage
Supports this claim:Mollick, LeCun and Li emphasize different capability questions