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← Musk's way of combining invention with scale may be the least studied and understood thing in the world right now.
17 connected korrents · 16 moments from 1 Sept 2023 to 17 Sept 2026.
Everything filed under AI and jobs
AI and jobs
Everything filed under AI and human skill
AI and human skill
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under physics
physics
Everything filed under design
design
Everything filed under AGI
AGI 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: Musk's way of combining invention with scale may be the least studied and understood thing in the world right now. Musk's way of combining invention with scale may be the least studied and understood thing in the world right now. Last stated 7 months ago
15 Mar 2026
MA
Marc Andreessen — holds since 2026-03-15 — tap for who they are
Same subject: The scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed. — tap to centre the map on it The scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed. Last stated 7 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — tap for who they are
Same subject: Most of the tech tree will never be explored by anyone at all, which is exactly why the choice of which direction to explore matters so much. — tap to centre the map on it Most of the tech tree will never be explored by anyone at all, which is exactly why the choice of which direction to explore matters so much. Last stated 7 months ago
7 Apr 2026
MN
Michael Nielsen — holds since 2026-04-07 — tap for who they are
Same subject: The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture. — tap to centre the map on it The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture. Last stated 2 months ago
4 Sept 2026
FL
Fei-Fei Li — holds since 2026-09-04 — tap for who they are
Same subject: Scaling laws are still working, but the models people actually use run a few months behind the maximum capability Google can deliver, because the biggest model is too slow and expensive to serve. — tap to centre the map on it Scaling laws are still working, but the models people actually use run a few months behind the maximum capability Google can deliver, because the biggest model is too slow and expensive to serve. Last stated a year ago
5 Jun 2025
SP
Sundar Pichai — holds since 2025-06-05 — tap for who they are
Same subject: Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect. — tap to centre the map on it Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect. Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: The way we make things is out of tune with the time dimension of the natural world, and that has to change even if it means designing on the scale of centuries. — tap to centre the map on it The way we make things is out of tune with the time dimension of the natural world, and that has to change even if it means designing on the scale of centuries. Last stated 3 years ago
1 Sept 2023
NO
Neri Oxman — holds since 2023-09-01 — tap for who they are
Same subject: Scaling what we already have, with no further breakthroughs, will be enough to reach AGI. — tap to centre the map on it Scaling what we already have, with no further breakthroughs, will be enough to reach AGI. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: Technological determinism is only believable low down the tech tree; higher up we already choose which paths not to take. — tap to centre the map on it Technological determinism is only believable low down the tech tree; higher up we already choose which paths not to take. Last stated 7 months ago
7 Apr 2026
MN
Michael Nielsen — holds since 2026-04-07 — tap for who they are
Same subject: A company must cut half its engineers to pay for the other half's tokens, and that is what the layoffs are actually about. — tap to centre the map on it A company must cut half its engineers to pay for the other half's tokens, and that is what the layoffs are actually about. Last stated 7 months ago
11 Mar 2026
SY
Steve Yegge — holds since 2026-03-11 — tap for who they are
Same subject: A home is an asset that is likely to perform poorly exactly when a person needs it most due to its correlation with local labor market shocks. — tap to centre the map on it A home is an asset that is likely to perform poorly exactly when a person needs it most due to its correlation with local labor market shocks. Last stated 3 months ago
30 Jul 2026
JD
Jerusalem Demsas — holds since 2026-07-30 — tap for who they are
Same subject: A labor market stuck in a low-hiring equilibrium will see employment decline outright unless hiring rates recover. — tap to centre the map on it A labor market stuck in a low-hiring equilibrium will see employment decline outright unless hiring rates recover. Last stated 9 months ago
11 Jan 2026
JP
Joseph Politano — holds since 2026-01-11 — 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 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. — tap to centre the map on it A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls. Last stated a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. — tap to centre the map on it A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. Last stated 5 months ago
2 Jun 2026
LS
L. M. Sacasas — holds since 2026-06-02 — tap for who they are
Same subject: A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. — tap to centre the map on it A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. Last stated 11 months ago
18 Nov 2025
SY
Scott H. Young — holds since 2025-11-18 — tap for who they are
Same subject: A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. — tap to centre the map on it A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. Last stated a year ago
21 May 2025
EZ
Ed Zitron — holds since 2025-05-21 — tap for who they are
At the centre
Musk's way of combining invention with scale may be the least studied and understood thing in the world right now.
Holds Read this korrent →
The scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed.
Holds
Most of the tech tree will never be explored by anyone at all, which is exactly why the choice of which direction to explore matters so much.
Holds
The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture.
Holds
Scaling laws are still working, but the models people actually use run a few months behind the maximum capability Google can deliver, because the biggest model is too slow and expensive to serve.
Holds
Current AI struggles even to rediscover old laws of physics from data, and when it does, contamination from training is the first suspect.
Holds
The way we make things is out of tune with the time dimension of the natural world, and that has to change even if it means designing on the scale of centuries.
Holds
Scaling what we already have, with no further breakthroughs, will be enough to reach AGI.
Holds
Technological determinism is only believable low down the tech tree; higher up we already choose which paths not to take.
Holds
A company must cut half its engineers to pay for the other half's tokens, and that is what the layoffs are actually about.
Holds
A home is an asset that is likely to perform poorly exactly when a person needs it most due to its correlation with local labor market shocks.
Holds
A labor market stuck in a low-hiring equilibrium will see employment decline outright unless hiring rates recover.
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
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it.
Holds
A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do.
Holds
A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job.
Holds