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← Most real economic growth comes from scientific and technological…
17 connected korrents · 15 moments from 15 Jul 2021 to 16 Sept 2026.
Everything filed under innovation
innovation
Everything filed under AI and science
AI and science
Everything filed under AGI
AGI
Everything filed under stock market
stock market
Everything filed under Silicon Valley
Silicon Valley
Everything filed under market efficiency
market efficiency 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: Most real economic growth comes from scientific and technological progress, so the AI that matters is the one that significantly increases the rate of scientific discovery. Most real economic growth comes from scientific and technological progress, so the AI that matters is the one that significantly increases the rate of scientific discovery. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. — tap to centre the map on it Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: In an AI world growth and economic value come easily; distribution, wealth and political freedom are the hard parts, and that is where policy belongs. — tap to centre the map on it In an AI world growth and economic value come easily; distribution, wealth and political freedom are the hard parts, and that is where policy belongs. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: What decides a country's fortunes is not owning the leading sector but using the leading technology to create its own comparative advantage. — tap to centre the map on it What decides a country's fortunes is not owning the leading sector but using the leading technology to create its own comparative advantage. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: The rest of people's lives will mostly revolve around AI, yet economic growth will still be about 1.5%. — tap to centre the map on it The rest of people's lives will mostly revolve around AI, yet economic growth will still be about 1.5%. Last stated a month ago
16 Sept 2026
NS
Noah Smith — holds since 2026-09-16 — tap for who they are
Same subject: Whatever AI does to the size of the pie, it will most likely increase concentration in the market and the economy. — tap to centre the map on it Whatever AI does to the size of the pie, it will most likely increase concentration in the market and the economy. Last stated 2 months ago
6 Sept 2026
BC
Ben Carlson — holds since 2026-09-06 — tap for who they are
Same subject: The real danger in AI-driven growth is geographic: 50% growth in and around Silicon Valley and business as usual everywhere else. — tap to centre the map on it The real danger in AI-driven growth is geographic: 50% growth in and around Silicon Valley and business as usual everywhere else. Last stated 8 months ago
13 Feb 2026
DA
Dario Amodei — holds since 2026-02-13 — tap for who they are
Same subject: If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy. — tap to centre the map on it If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy. Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: As AI makes building faster and cheaper, choosing the right thing to build matters more than ever, because a competitor will get it right if you don't. — tap to centre the map on it As AI makes building faster and cheaper, choosing the right thing to build matters more than ever, because a competitor will get it right if you don't. Last stated a year ago
18 Jul 2025
JE
Jason Evanish — holds since 2025-07-18 — 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: 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: 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 11 months ago
23 Nov 2025
EH
Elliot Hershberg — holds since 2025-11-23 — tap for who they are
Same subject: AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. — tap to centre the map on it AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: Biology models are smaller than language models only because there is less data, not because biology is simpler. — tap to centre the map on it Biology models are smaller than language models only because there is less data, not because biology is simpler. Last stated 4 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: In an intellectually dead research field, feeding AI decades of meaningless work only produces more meaningless output. — tap to centre the map on it In an intellectually dead research field, feeding AI decades of meaningless work only produces more meaningless output. Last stated 3 months ago
26 Jul 2026
PW
Peter Woit — holds since 2026-07-26 — tap for who they are
Same subject: Progress toward AI autonomously solving major open scientific problems requires first mastering the organization and presentation of established knowledge in long-form writing. — tap to centre the map on it Progress toward AI autonomously solving major open scientific problems requires first mastering the organization and presentation of established knowledge in long-form writing. Last stated 2 months ago
12 Aug 2026
NL
Nathan Lambert — holds since 2026-08-12 — tap for who they are
At the centre
Most real economic growth comes from scientific and technological progress, so the AI that matters is the one that significantly increases the rate of scientific discovery.
Holds Read this korrent →
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Holds
In an AI world growth and economic value come easily; distribution, wealth and political freedom are the hard parts, and that is where policy belongs.
Holds
What decides a country's fortunes is not owning the leading sector but using the leading technology to create its own comparative advantage.
Holds
The rest of people's lives will mostly revolve around AI, yet economic growth will still be about 1.5%.
Holds
Whatever AI does to the size of the pie, it will most likely increase concentration in the market and the economy.
Holds
The real danger in AI-driven growth is geographic: 50% growth in and around Silicon Valley and business as usual everywhere else.
Holds
If AI can build the new theory that crystallises how to think about a subject, it would be surprising if that capability did not spill into the rest of the economy.
Holds
As AI makes building faster and cheaper, choosing the right thing to build matters more than ever, because a competitor will get it right if you don't.
Holds
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
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
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
AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work.
Holds
Biology models are smaller than language models only because there is less data, not because biology is simpler.
Holds
In an intellectually dead research field, feeding AI decades of meaningless work only produces more meaningless output.
Holds
Progress toward AI autonomously solving major open scientific problems requires first mastering the organization and presentation of established knowledge in long-form writing.
Holds