Tap a claim on the ring to put it at the centre.
← Excelling at one attribute doesn't make a product superior overall to alternatives.
17 connected korrents · 17 moments on record from 3 Aug 2012 to 15 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under measuring intelligence
measuring intelligence
Everything filed under scaling laws
scaling laws
Everything filed under product management
product management
Everything filed under innovation
innovation
Everything filed under AI and human skill
AI and human skill
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: Excelling at one attribute doesn't make a product superior overall to alternatives. Excelling at one attribute doesn't make a product superior overall to alternatives. Last stated 4 weeks ago
23 Aug 2026
AS
Anthony Sculimbrene — holds since 2026-08-23 — tap for who they are
Same subject: AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. — tap to centre the map on it AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: You cannot A/B test your way into a really great product. — tap to centre the map on it You cannot A/B test your way into a really great product. Last stated a year ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: What makes a piece of gear worth using as a reference is its performance, not its price. — tap to centre the map on it What makes a piece of gear worth using as a reference is its performance, not its price. Last stated 2 weeks ago
5 Sept 2026
SH
Steve Huff — holds since 2026-09-05 — tap for who they are
Same subject: A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. — tap to centre the map on it A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use. Last stated 4 months ago
2 Jun 2026
JJ
Justin Jackson — holds since 2026-06-02 — tap for who they are
Same subject: Someone who is not already product-first almost never becomes good at product afterwards. — tap to centre the map on it Someone who is not already product-first almost never becomes good at product afterwards. Last stated 3 months ago
9 Jun 2026
BG
Bill Gurley — holds since 2026-06-09 — tap for who they are
Same subject: A model can produce version two of a product that already exists, but the genuinely new version one still has to be made by people. — tap to centre the map on it A model can produce version two of a product that already exists, but the genuinely new version one still has to be made by people. Last stated 3 months ago
7 Jun 2026
TF
Tony Fadell — holds since 2026-06-07 — 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 4 months ago
2 Jun 2026
LS
L. M. Sacasas — holds since 2026-06-02 — tap for who they are
Same subject: Good design is honest: it does not make a product seem more innovative, powerful or valuable than it is, and does not manipulate with promises that cannot be kept. — tap to centre the map on it Good design is honest: it does not make a product seem more innovative, powerful or valuable than it is, and does not manipulate with promises that cannot be kept. Last stated 14 years ago
by 3 Aug 2012
DR
Dieter Rams — holds since 2012-08-03 — 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 9 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 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. Last stated a month ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A true artificial general intelligence cannot exist without being recognized as a moral subject. — tap to centre the map on it A true artificial general intelligence cannot exist without being recognized as a moral subject. Last stated a year ago
10 Jun 2025
SH
Samuel Hammond — holds since 2025-06-10 — tap for who they are
Same subject: A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. — tap to centre the map on it A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model. Last stated 6 days ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. — tap to centre the map on it Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect. Last stated 7 years ago
5 Nov 2019
FC
François Chollet — holds since 2019-11-05 — 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 10 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 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
At the centre
Excelling at one attribute doesn't make a product superior overall to alternatives.
Holds Read this korrent →
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.
Holds
You cannot A/B test your way into a really great product.
Holds
What makes a piece of gear worth using as a reference is its performance, not its price.
Holds
A business can have market fit, real advantages, and sustained effort behind a hard product and still fail if it doesn't give customers a strong enough reason to switch from what they already use.
Holds
Someone who is not already product-first almost never becomes good at product afterwards.
Holds
A model can produce version two of a product that already exists, but the genuinely new version one still has to be made by people.
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
Good design is honest: it does not make a product seem more innovative, powerful or valuable than it is, and does not manipulate with promises that cannot be kept.
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 child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Holds
A true artificial general intelligence cannot exist without being recognized as a moral subject.
Holds
A unit of AI inference needs to be defined, for example via a chain of increasingly hard problems where each consecutive pair is solvable by one model.
Holds
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds