Tap a claim on the ring to put it at the centre.
← Models leak and algorithms get copied, but hundreds of millions of…
8 connected korrents · 10 moments on record from 13 Sept 2023 to 4 Sept 2026.
Everything filed under scaling laws
scaling laws
Everything filed under benchmarks
benchmarks
Everything filed under LLMs
LLMs Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Models leak and algorithms get copied, but hundreds of millions of audited autonomous miles cannot be replicated — earned trust is the real moat. Models leak and algorithms get copied, but hundreds of millions of audited autonomous miles cannot be replicated — earned trust is the real moat. Last stated a month ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: Acquisition built on somebody else's algorithm can be taken away at any moment, which is why it must sit below earned channels on a growth roadmap. — tap to centre the map on it Acquisition built on somebody else's algorithm can be taken away at any moment, which is why it must sit below earned… Last stated 2 years ago
19 Jan 2025
EV
Elena Verna — holds since 2025-01-19 — tap for who they are
Same subject: In verifiable domains model capability scaling should remain unbounded, because the space of enumerable patterns is infinite by construction. — tap to centre the map on it In verifiable domains model capability scaling should remain unbounded, because the space of enumerable patterns… Last stated 2 weeks ago
27 Aug 2026
FC
François Chollet — holds since 2026-08-27 — tap for who they are
Same subject: The least verifiable part of AI research is the judgement call about what goes into the one big training run. — tap to centre the map on it The least verifiable part of AI research is the judgement call about what goes into the one big training run. Last stated 4 weeks ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Once model weights leave their owner's control the loss is irreversible, which is why securing them is the precondition for governing AI at all. — tap to centre the map on it Once model weights leave their owner's control the loss is irreversible, which is why securing them is the… Last stated 2 years ago
20 Dec 2024
JL
Jan Leike — holds since 2023-09-13 — tap for who they are
MB
Miles Brundage — holds since 2024-12-20 — tap for who they are
Same subject: When a capability evaluation benchmark is saturated without real-world verification, a model should be presumed to have that capability until shown otherwise. — tap to centre the map on it When a capability evaluation benchmark is saturated without real-world verification, a model should be presumed to… Last stated 3 days ago
4 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-04 — tap for who they are
Same subject: Loop engineering works exactly as far as verification does: make a problem very verifiable and you can treat it as a black box and let the model run. — tap to centre the map on it Loop engineering works exactly as far as verification does: make a problem very verifiable and you can treat it as a… Last stated 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A swarm of untrusted volunteers on the internet could improve models and run circles around the frontier labs, because the earth has far more compute than they do. — tap to centre the map on it A swarm of untrusted volunteers on the internet could improve models and run circles around the frontier… Last stated 6 months ago
20 Mar 2026
AK
Andrej Karpathy — holds since 2026-03-20 — tap for who they are
Same subject: A swarm of agents with the right loop and the right metric can already out-produce a team of a hundred engineers. — tap to centre the map on it A swarm of agents with the right loop and the right metric can already out-produce a team of a hundred engineers. Last stated a month ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are