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← Getting into the hot AI-native companies will likely take "battle…
17 connected korrents · 18 moments from 5 Nov 2019 to 3 Oct 2026.
Everything filed under AI alignment
AI alignment
Everything filed under measuring intelligence
measuring intelligence
Everything filed under venture capital
venture capital
Everything filed under agency
agency
Everything filed under AGI
AGI
Everything filed under startups
startups
Everything filed under AI and jobs
AI and jobs
Everything filed under creativity
creativity
Everything filed under LLMs
LLMs
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: Getting into the hot AI-native companies will likely take "battle scars" from having solved the same problems they struggle with.
Getting into the hot AI-native companies will likely take "battle scars" from having solved the same problems they struggle with.
Last stated a month ago
11 Sept 2026
GO
Gergely Orosz — holds since 2026-09-11 — tap for who they are
Same subject: A large company should help its existing product managers become AI-native rather than only hiring people who already are. — tap to centre the map on it
A large company should help its existing product managers become AI-native rather than only hiring people who already are.
Last stated a month ago
10 Sept 2026
TY
Tamar Yehoshua — holds since 2026-09-10 — tap for who they are
Same subject: Even with human-like learners, competition will split the AI market into specialised niches rather than hand it to one company. — tap to centre the map on it
Even with human-like learners, competition will split the AI market into specialised niches rather than hand it to one company.
Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: Some of the most AI-native mid-sized and larger companies are the ones that had dedicated infra and dev platform teams before AI. — tap to centre the map on it
Some of the most AI-native mid-sized and larger companies are the ones that had dedicated infra and dev platform teams before AI.
Last stated a week ago
3 Oct 2026
GO
Gergely Orosz — holds since 2026-10-03 — tap for who they are
Same subject: AI favours tiny teams of high-agency individual contributors with blurred roles, and the coordinating manager is not needed until it is time to polish. — tap to centre the map on it
AI favours tiny teams of high-agency individual contributors with blurred roles, and the coordinating manager is not needed until it is time to polish.
Last stated 2 years ago
25 Mar 2025
JZ
Julie Zhuo — holds since 2025-03-25 — tap for who they are
Same subject: Some firms are laying people off mainly so as not to look behind on AI, in a cascade of keeping up with the Joneses. — tap to centre the map on it
Some firms are laying people off mainly so as not to look behind on AI, in a cascade of keeping up with the Joneses.
Last stated 4 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. — tap to centre the map on it
AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate.
Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: AI that builds UI is trained on past UI, so breaking out of that mould will still take a person willing to break the rules. — tap to centre the map on it
AI that builds UI is trained on past UI, so breaking out of that mould will still take a person willing to break the rules.
Last stated 2 years ago
21 Feb 2025
TC
Thiago Costa — holds since 2025-02-21 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Last stated 12 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: A founder should take half the valuation if it buys all of the control, because the right to be wrong in your own way is what founding was for. — tap to centre the map on it
A founder should take half the valuation if it buys all of the control, because the right to be wrong in your own way is what founding was for.
Last stated 4 months ago
2 Jun 2026
MP
Mark Pincus — holds since 2026-06-02 — tap for who they are
Same subject: AI factories and foundries are too capital-intensive for venture money; they need government or sovereign funds behind them. — tap to centre the map on it
AI factories and foundries are too capital-intensive for venture money; they need government or sovereign funds behind them.
Last stated 4 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: Being formidable means getting what you want in any situation, and that is exactly why investors want it: a formidable founder's interests and theirs are the same. — tap to centre the map on it
Being formidable means getting what you want in any situation, and that is exactly why investors want it: a formidable founder's interests and theirs are the same.
Last stated a month ago
3 Sept 2026
PG
Paul Graham — holds since 2026-09-03 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — 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 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve. — tap to centre the map on it
A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve.
Last stated 4 weeks ago
15 Sept 2026
PG
Paul Graham — holds since 2026-09-15 — tap for who they are
Same subject: Being able to statistically predict what someone will say does not mean you understand them. — tap to centre the map on it
Being able to statistically predict what someone will say does not mean you understand them.
Last stated 3 weeks ago
18 Sept 2026
CD
Cory Doctorow — holds since 2026-09-18 — 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 or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone who holds the claim — tap it for who they are
At the centre
Getting into the hot AI-native companies will likely take "battle scars" from having solved the same problems they struggle with.
Last stated 11 Sept 2026 · a month ago
Holds Gergely Orosz
Read this korrent →
Similar wording
A large company should help its existing product managers become AI-native rather than only hiring people who already are.
Last stated 10 Sept 2026 · a month ago
Holds Tamar Yehoshua
Similar wording
Even with human-like learners, competition will split the AI market into specialised niches rather than hand it to one company.
Last stated 25 Nov 2025 · 11 months ago
Holds Ilya Sutskever
Similar wording
Some of the most AI-native mid-sized and larger companies are the ones that had dedicated infra and dev platform teams before AI.
Last stated 3 Oct 2026 · a week ago
Holds Gergely Orosz
Similar wording
AI favours tiny teams of high-agency individual contributors with blurred roles, and the coordinating manager is not needed until it is time to polish.
Last stated 25 Mar 2025 · 2 years ago
Holds Julie Zhuo
Similar wording
Some firms are laying people off mainly so as not to look behind on AI, in a cascade of keeping up with the Joneses.
Last stated 4 Jun 2026 · 4 months ago
Holds Alex Imas
Similar wording
AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate.
Last stated 3 Feb 2025 · 2 years ago
Holds Nathan Lambert
Similar wording
AI that builds UI is trained on past UI, so breaking out of that mould will still take a person willing to break the rules.
Last stated 21 Feb 2025 · 2 years ago
Holds Thiago Costa
Similar wording
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Last stated 16 Oct 2025 · 12 months ago
Holds Dylan Field
Same subject: venture capital
A founder should take half the valuation if it buys all of the control, because the right to be wrong in your own way is what founding was for.
Last stated 2 Jun 2026 · 4 months ago
Holds Mark Pincus
Same subject: venture capital
AI factories and foundries are too capital-intensive for venture money; they need government or sovereign funds behind them.
Last stated 18 Jun 2026 · 4 months ago
Holds Lip-Bu Tan
Same subject: venture capital
Being formidable means getting what you want in any situation, and that is exactly why investors want it: a formidable founder's interests and theirs are the same.
Last stated 3 Sept 2026 · a month ago
Holds Paul Graham
Same subject: AI alignment
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Last stated 7 Oct 2025 · a year ago
Holds Mr. Money Mustache
Same subject: AI alignment
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Last stated 7 May 2024 · 2 years ago
Holds Buck Shlegeris
Same subject: AI alignment
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Last stated 26 Aug 2026 · 2 months ago
Holds Henrik Karlsson
Same subject: measuring intelligence
A unit of measure needs defining, perhaps via a chain of increasingly hard problems, each pair of which a single model can solve.
Last stated 15 Sept 2026 · 4 weeks ago
Holds Paul Graham
Same subject: measuring intelligence
Being able to statistically predict what someone will say does not mean you understand them.
Last stated 18 Sept 2026 · 3 weeks ago
Holds Cory Doctorow
Same subject: measuring intelligence
Both the special-purpose-programs view and the blank-slate view of human intelligence are likely incorrect.
Last stated 5 Nov 2019 · 7 years ago
Holds François Chollet