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← Super intelligence will make doubling revenue at scale for a large company look slow
17 connected korrents · 18 moments from 5 Sept 2024 to 6 Nov 2026.
Everything filed under AGI
AGI
Everything filed under LLMs
LLMs
Everything filed under AI sentience
AI sentience
Everything filed under measuring intelligence
measuring intelligence
Everything filed under scaling laws
scaling laws
Everything filed under AI alignment
AI alignment
Everything filed under design
design
Everything filed under semiconductors
semiconductors
Everything filed under team size
team size 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: Super intelligence will make doubling revenue at scale for a large company look slow Super intelligence will make doubling revenue at scale for a large company look slow Last stated today
6 Nov 2026
EM
Elon Musk — holds since 2026-11-06 — tap for who they are
Same subject: There is infinite demand for intelligence. — tap to centre the map on it There is infinite demand for intelligence. Last stated 2 months ago
9 Sept 2026
GR
Guillermo Rauch — holds since 2026-09-09 — tap for who they are
Same subject: Intelligence is going to scale by exactly one thing, and that thing is compute. — tap to centre the map on it Intelligence is going to scale by exactly one thing, and that thing is compute. Last stated 7 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter. — tap to centre the map on it Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter. Last stated a year ago
18 Aug 2025
BT
Bret Taylor — holds since 2025-08-18 — tap for who they are
Same subject: Building superintelligence may be the most important thing that has ever happened in business, and it will still be dwarfed by some startup that has not been founded yet. — tap to centre the map on it Building superintelligence may be the most important thing that has ever happened in business, and it will still be dwarfed by some startup that has not been founded yet. Last stated 3 months ago
28 Jul 2026
SA
Sam Altman — holds since 2026-07-28 — tap for who they are
Same subject: Performance can still double, but cost and area will no longer come down with it unless new materials or new design methods arrive. — tap to centre the map on it Performance can still double, but cost and area will no longer come down with it unless new materials or new design methods arrive. Last stated 5 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue. — tap to centre the map on it Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue. Last stated 7 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: We are already in an intelligence explosion and have been for decades, so AI will show up as more of the same exponential rather than a break in it. — tap to centre the map on it We are already in an intelligence explosion and have been for decades, so AI will show up as more of the same exponential rather than a break in it. Last stated a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Large engineering projects are more soluble in IQ than they appear, and many tech companies are overstaffed — tap to centre the map on it Large engineering projects are more soluble in IQ than they appear, and many tech companies are overstaffed Last stated 2 months ago
4 Sept 2026
NF
Nat Friedman — holds since 2026-09-04 — tap for who they are
Same subject: A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. — tap to centre the map on it A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. Last stated 2 months ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: An agent writing an operating system may be relatively easy because of patterns memorized in training data, so it says little about agents' ability to create novel software. — tap to centre the map on it An agent writing an operating system may be relatively easy because of patterns memorized in training data, so it says little about agents' ability to create novel software. Last stated 6 months ago
22 May 2026
SK
Sayash Kapoor — holds since 2026-05-22 — tap for who they are
Same subject: Being able to statistically predict what someone will say does not mean you understand them. — tap to centre the map on it Being able to statistically predict what someone will say does not mean you understand them. Last stated 2 months ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — tap for who they are
Same subject: "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. — tap to centre the map on it "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. Last stated 3 months ago
17 Aug 2026
JC
John Cutler — holds since 2026-08-17 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: AI sentience is a category error, and the chances of AIs being sentient are vanishingly small. — tap to centre the map on it AI sentience is a category error, and the chances of AIs being sentient are vanishingly small. Last stated 2 months ago
31 Aug 2026
TC
Tyler Cowen — holds since 2026-08-31 — tap for who they are
Same subject: AIs that convincingly pretend to have feelings will come to be granted rights through social convention — tap to centre the map on it AIs that convincingly pretend to have feelings will come to be granted rights through social convention Last stated 2 years ago
5 Sept 2024
YH
Yuval Noah Harari — holds since 2024-09-05 — tap for who they are
Same subject: An AI's sympathy and a friend's are not the same act: one is a learned pattern about what to say, the other rests on having felt the thing. — tap to centre the map on it An AI's sympathy and a friend's are not the same act: one is a learned pattern about what to say, the other rests on having felt the thing. Last stated 3 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
At the centre
Super intelligence will make doubling revenue at scale for a large company look slow
Holds Read this korrent →
There is infinite demand for intelligence.
Holds
Intelligence is going to scale by exactly one thing, and that thing is compute.
Holds
Even generalised superintelligence will change society more slowly than the AGI community expects, because intelligence is not the only rate limiter.
Holds
Building superintelligence may be the most important thing that has ever happened in business, and it will still be dwarfed by some startup that has not been founded yet.
Holds
Performance can still double, but cost and area will no longer come down with it unless new materials or new design methods arrive.
Holds
Nvidia's engineers can routinely get another 2x out of an AI lab's stack, and doubling the tokens a fleet produces doubles that lab's revenue.
Holds
We are already in an intelligence explosion and have been for decades, so AI will show up as more of the same exponential rather than a break in it.
Holds
Large engineering projects are more soluble in IQ than they appear, and many tech companies are overstaffed
Holds
A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve.
Holds
An agent writing an operating system may be relatively easy because of patterns memorized in training data, so it says little about agents' ability to create novel software.
Holds
Being able to statistically predict what someone will say does not mean you understand them.
Holds
"Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
AI sentience is a category error, and the chances of AIs being sentient are vanishingly small.
Holds
AIs that convincingly pretend to have feelings will come to be granted rights through social convention
Holds
An AI's sympathy and a friend's are not the same act: one is a learned pattern about what to say, the other rests on having felt the thing.
Holds