Tap a claim on the ring to put it at the centre.
← Video generation requires more world knowledge than image generation…
17 connected korrents · 14 moments from 12 Apr 2024 to 26 Oct 2026.
Everything filed under world models
world models
Everything filed under computer vision
computer vision
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under reinforcement learning
reinforcement learning
Everything filed under scaling laws
scaling laws
Everything filed under optimism
optimism
Everything filed under video games
video games
Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject
Read this korrent: Video generation requires more world knowledge than image generation because of the need for temporal consistency across frames.
Video generation requires more world knowledge than image generation because of the need for temporal consistency across frames.
Last stated 3 years ago
12 Apr 2024
LW
Lilian Weng — holds since 2024-04-12 — tap for who they are
Same subject: The industry is too optimistic about AI for video, and the consistency problem will not simply be remedied. — tap to centre the map on it
The industry is too optimistic about AI for video, and the consistency problem will not simply be remedied.
Last stated 2 years ago
30 Apr 2025
TS
Tim Sweeney — holds since 2025-04-30 — tap for who they are
Same subject: Video generation was not an algorithmic revolution: it was the same neural-network era with video added to the training data. — tap to centre the map on it
Video generation was not an algorithmic revolution: it was the same neural-network era with video added to the training data.
Last stated 3 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: Real-time AI video generation can be used to create games and worlds generated on demand instead of pre-built. — tap to centre the map on it
Real-time AI video generation can be used to create games and worlds generated on demand instead of pre-built.
Last stated 2 months ago
4 Sept 2026
KK
Kevin Kelly — holds since 2026-09-04 — tap for who they are
Same subject: Video never became intelligence the way text did because text arrives already abstracted into the bits humans care about. — tap to centre the map on it
Video never became intelligence the way text did because text arrives already abstracted into the bits humans care about.
Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work. — tap to centre the map on it
A model that can predict the next frames of a video coherently understands the world, in the only sense of the word that is doing any work.
Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: The companies that already control the largest troves of real-world video data will be first to build successful world models. — tap to centre the map on it
The companies that already control the largest troves of real-world video data will be first to build successful world models.
Last stated 3 months ago
10 Aug 2026
KK
Kevin Kelly — holds since 2026-08-10 — tap for who they are
Same subject: High-quality video data, especially paired with text, is harder to collect at scale than image or text data. — tap to centre the map on it
High-quality video data, especially paired with text, is harder to collect at scale than image or text data.
Last stated 3 years ago
12 Apr 2024
LW
Lilian Weng — holds since 2024-04-12 — tap for who they are
Same subject: Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot. — tap to centre the map on it
Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot.
Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. — tap to centre the map on it
A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute.
Last stated a month ago
22 Sept 2026
TC
Tyler Cowen — holds since 2026-09-22 — tap for who they are
Same subject: A sealed machine that redesigns itself will eventually redesign everything that touches its seal. — tap to centre the map on it
A sealed machine that redesigns itself will eventually redesign everything that touches its seal.
Last stated 2 weeks ago
21 Oct 2026
BM
Bruno Maçães — holds since 2026-10-21 — tap for who they are
Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it
AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started.
Last stated 3 months ago
3 Aug 2026
CP
Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Last stated 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 12 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A CPU and memory crunch is coming. — tap to centre the map on it
A CPU and memory crunch is coming.
Last stated 2 weeks ago
26 Oct 2026
DM
Dillon Mulroy — holds since 2026-10-26 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone who holds the claim — tap it for who they are