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← Building intuition for what works and what does not comes from taking a lot of shots at the goal.
17 connected korrents · 15 moments from 8 Jan 2013 to 18 Sept 2026.
Everything filed under creativity
creativity
Everything filed under reinforcement learning
reinforcement learning
Everything filed under ambition
ambition
Everything filed under design
design
Everything filed under LLMs
LLMs
Everything filed under optimism
optimism
Everything filed under management
management
Everything filed under startups
startups 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: Building intuition for what works and what does not comes from taking a lot of shots at the goal. Building intuition for what works and what does not comes from taking a lot of shots at the goal. Last stated 7 months ago
12 Mar 2026
JP
Josh Puckett — holds since 2026-03-12 — tap for who they are
Same subject: You need to build early with AI to have any intuition for when the models become capable. — tap to centre the map on it You need to build early with AI to have any intuition for when the models become capable. Last stated 4 weeks ago
10 Sept 2026
MK
Mike Krieger — holds since 2026-09-10 — tap for who they are
Same subject: People may underrate the power of intuition and of deciding what they want the future to be. — tap to centre the map on it People may underrate the power of intuition and of deciding what they want the future to be. Last stated a month ago
30 Aug 2026
TS
Tara Seshan — holds since 2026-08-30 — tap for who they are
Same subject: The more your target audience does not look like you, the more you should be skeptical of your design intuition. — tap to centre the map on it The more your target audience does not look like you, the more you should be skeptical of your design intuition. Last stated 3 years ago
20 Apr 2023
JZ
Julie Zhuo — holds since 2023-04-20 — tap for who they are
Same subject: The way to work out what to work on is by working: if you do not know, guess, but pick something and get going. — tap to centre the map on it The way to work out what to work on is by working: if you do not know, guess, but pick something and get going. Last stated 3 years ago
1 Jul 2023
PG
Paul Graham — holds since 2023-07-01 — tap for who they are
Same subject: Clear goals plus a measure that drives progress toward them can achieve amazing progress, yet this is surprisingly rarely done well — tap to centre the map on it Clear goals plus a measure that drives progress toward them can achieve amazing progress, yet this is surprisingly rarely done well
BG
Bill Gates — holds since c. 2013 — tap for who they are
Same subject: The value of an ambitious experiment target is not hitting it but the conversation about what would have to be true to hit it. — tap to centre the map on it The value of an ambitious experiment target is not hitting it but the conversation about what would have to be true to hit it. Last stated a year ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: A founder's gut instincts are almost always right and the ideas built on top of them are usually wrong, so the work is to isolate the instinct and test many ideas around it. — tap to centre the map on it A founder's gut instincts are almost always right and the ideas built on top of them are usually wrong, so the work is to isolate the instinct and test many ideas around it. Last stated 4 months ago
14 Jun 2026
MP
Mark Pincus — holds since 2026-06-14 — tap for who they are
Same subject: Discernment about what should be built, and how to build it for the product, is the core builder process right now. — tap to centre the map on it Discernment about what should be built, and how to build it for the product, is the core builder process right now. Last stated 3 months ago
8 Jul 2026
MC
Meaghan Choi — holds since 2026-07-08 — tap for who they are
Same subject: A feeling of responsibility is probably the greatest inhibitor of creativity; great ideas came from people not paid to have them — tap to centre the map on it A feeling of responsibility is probably the greatest inhibitor of creativity; great ideas came from people not paid to have them
IA
Isaac Asimov — holds since c. 1959 — tap for who they are
Same subject: A free-wheeling, anarchic neural organization may be the secret of human creativity, at the price of susceptibility to mental illness — tap to centre the map on it A free-wheeling, anarchic neural organization may be the secret of human creativity, at the price of susceptibility to mental illness Last stated 14 years ago
8 Jan 2013
DD
Daniel Dennett — holds since 2013-01-08 — tap for who they are
Same subject: A system trained only on what is already known cannot produce genuine surprises, because a known thing stops being a surprise. — tap to centre the map on it A system trained only on what is already known cannot produce genuine surprises, because a known thing stops being a surprise. Last stated 2 weeks ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated a month ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. Last stated 2 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 11 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: AI becoming original is a likely next step — tap to centre the map on it AI becoming original is a likely next step Last stated 2 years ago
31 Mar 2025
DH
David Heinemeier Hansson — holds since 2025-03-31 — tap for who they are
Same subject: AI progress is jagged: models are becoming superhuman at math and software engineering while remaining far weaker at intuition, creativity, and other forms of human reasoning. — tap to centre the map on it AI progress is jagged: models are becoming superhuman at math and software engineering while remaining far weaker at intuition, creativity, and other forms of human reasoning. Last stated 4 weeks ago
10 Sept 2026
NL
Nathan Lambert — holds since 2026-09-10 — tap for who they are
Same subject: Current models are unsafe because they are not smart enough, not because they are too smart. — tap to centre the map on it Current models are unsafe because they are not smart enough, not because they are too smart. Last stated 3 weeks ago
13 Sept 2026
FC
François Chollet — holds since 2026-09-13 — tap for who they are
At the centre
Building intuition for what works and what does not comes from taking a lot of shots at the goal.
Holds Read this korrent →
You need to build early with AI to have any intuition for when the models become capable.
Holds
People may underrate the power of intuition and of deciding what they want the future to be.
Holds
The more your target audience does not look like you, the more you should be skeptical of your design intuition.
Holds
The way to work out what to work on is by working: if you do not know, guess, but pick something and get going.
Holds
Clear goals plus a measure that drives progress toward them can achieve amazing progress, yet this is surprisingly rarely done well
Last stated c. 2013
Holds
The value of an ambitious experiment target is not hitting it but the conversation about what would have to be true to hit it.
Holds
A founder's gut instincts are almost always right and the ideas built on top of them are usually wrong, so the work is to isolate the instinct and test many ideas around it.
Holds
Discernment about what should be built, and how to build it for the product, is the core builder process right now.
Holds
A feeling of responsibility is probably the greatest inhibitor of creativity; great ideas came from people not paid to have them
Last stated c. 1959
Holds
A free-wheeling, anarchic neural organization may be the secret of human creativity, at the price of susceptibility to mental illness
Holds
A system trained only on what is already known cannot produce genuine surprises, because a known thing stops being a surprise.
Holds
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
AI becoming original is a likely next step
Holds
AI progress is jagged: models are becoming superhuman at math and software engineering while remaining far weaker at intuition, creativity, and other forms of human reasoning.
Holds
Current models are unsafe because they are not smart enough, not because they are too smart.
Holds