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← With compounding, the thing to do is trust the exponential and be patient.
17 connected korrents · 17 moments from 17 Jun 2018 to 9 Sept 2026.
Everything filed under AI and science
AI and science
Everything filed under patience
patience
Everything filed under scaling laws
scaling laws
Everything filed under startups
startups
Everything filed under ambition
ambition
Everything filed under design
design 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: With compounding, the thing to do is trust the exponential and be patient. With compounding, the thing to do is trust the exponential and be patient. Last stated 8 years ago
24 Jan 2019
SA
Sam Altman — holds since 2019-01-24 — tap for who they are
Same subject: The thing worth finding is the exponential with the steepest curve that will run the longest — decades ago that was Moore’s law, and today it is AI progress. — tap to centre the map on it The thing worth finding is the exponential with the steepest curve that will run the longest — decades ago that was Moore’s law, and today it is AI progress. Last stated 2 months ago
29 Jul 2026
AW
Alexandr Wang — holds since 2026-07-29 — tap for who they are
Same subject: Most investment returns come from long-term compounding rather than the price paid at purchase. — tap to centre the map on it Most investment returns come from long-term compounding rather than the price paid at purchase. Last stated 4 years ago
7 Sept 2022
BC
Boris Cherny — holds since 2022-09-07 — tap for who they are
Same subject: Be impatient with actions and patient with results, because results come out of complex systems and other people. — tap to centre the map on it Be impatient with actions and patient with results, because results come out of complex systems and other people. Last stated 7 years ago
28 Dec 2019
NR
Naval Ravikant — holds since 2019-12-28 — tap for who they are
Same subject: A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. — tap to centre the map on it A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. Last stated 2 years ago
13 May 2024
DL
Derek Lowe — holds since 2024-05-13 — tap for who they are
Same subject: As much as possible, one should avoid predicting the future and instead wait for it to become the present and reveal what is actually needed. — tap to centre the map on it As much as possible, one should avoid predicting the future and instead wait for it to become the present and reveal what is actually needed. Last stated a year ago
14 May 2025
DS
Derek Sivers — holds since 2025-05-14 — tap for who they are
Same subject: An exponential feels like it cannot possibly keep going, which is exactly why people keep expecting AI progress to stop. — tap to centre the map on it An exponential feels like it cannot possibly keep going, which is exactly why people keep expecting AI progress to stop. Last stated 4 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: Growth always stops eventually, and only a company that instrumented its business beforehand gets to find out why instead of scrambling. — tap to centre the map on it Growth always stops eventually, and only a company that instrumented its business beforehand gets to find out why instead of scrambling. Last stated a year ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: Risk-taking becomes exponentially harder as a person gets older. — tap to centre the map on it Risk-taking becomes exponentially harder as a person gets older. Last stated 12 months ago
16 Oct 2025
NE
Nat Eliason — holds since 2025-10-16 — tap for who they are
Same subject: A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. — tap to centre the map on it A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. Last stated 2 years ago
17 Sept 2024
AT
Alex Telford — holds since 2024-09-17 — tap for who they are
Same subject: A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. — tap to centre the map on it A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: A million copies of one researcher would hit diminishing returns quickly, because what research needs is people who think differently. — tap to centre the map on it A million copies of one researcher would hit diminishing returns quickly, because what research needs is people who think differently. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A leader too impatient to sustain a waiting game will undermine strategies built on economic pressure and waiting out an adversary. — tap to centre the map on it A leader too impatient to sustain a waiting game will undermine strategies built on economic pressure and waiting out an adversary. Last stated 3 weeks ago
9 Sept 2026
DD
Daniel W. Drezner — holds since 2026-09-09 — tap for who they are
Same subject: A team that is falling behind can only be fixed by hiring more people; no amount of process or patience will move it. — tap to centre the map on it A team that is falling behind can only be fixed by hiring more people; no amount of process or patience will move it. Last stated 8 years ago
17 Jun 2018
WL
Will Larson — holds since 2018-06-17 — tap for who they are
Same subject: Agents might, like self-driving cars, not need special equipment to interact with the environment — tap to centre the map on it Agents might, like self-driving cars, not need special equipment to interact with the environment Last stated 4 years ago
26 Oct 2022
DH
David Heinemeier Hansson — holds since 2022-10-26 — tap for who they are
Same subject: A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. — tap to centre the map on it A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. Last stated 2 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. — tap to centre the map on it Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. — tap to centre the map on it AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. Last stated 10 months ago
23 Nov 2025
EH
Elliot Hershberg — holds since 2025-11-23 — tap for who they are
At the centre
With compounding, the thing to do is trust the exponential and be patient.
Holds Read this korrent →
The thing worth finding is the exponential with the steepest curve that will run the longest — decades ago that was Moore’s law, and today it is AI progress.
Holds
Most investment returns come from long-term compounding rather than the price paid at purchase.
Holds
Be impatient with actions and patient with results, because results come out of complex systems and other people.
Holds
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Holds
As much as possible, one should avoid predicting the future and instead wait for it to become the present and reveal what is actually needed.
Holds
An exponential feels like it cannot possibly keep going, which is exactly why people keep expecting AI progress to stop.
Holds
Growth always stops eventually, and only a company that instrumented its business beforehand gets to find out why instead of scrambling.
Holds
Risk-taking becomes exponentially harder as a person gets older.
Holds
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Holds
A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
Holds
A million copies of one researcher would hit diminishing returns quickly, because what research needs is people who think differently.
Holds
A leader too impatient to sustain a waiting game will undermine strategies built on economic pressure and waiting out an adversary.
Holds
A team that is falling behind can only be fixed by hiring more people; no amount of process or patience will move it.
Holds
Agents might, like self-driving cars, not need special equipment to interact with the environment
Holds
A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next.
Holds
Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics.
Holds
AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points.
Holds