Tap a claim on the ring to put it at the centre.
← AI is unlikely to eliminate product management, much of which happens…
17 connected korrents · 19 moments from 11 May 2018 to 20 Sept 2026. Nearly all of them are about product management .
Everything filed under LLMs
LLMs
Everything filed under startups
startups
Everything filed under hiring
hiring 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: AI is unlikely to eliminate product management, much of which happens in the real world through discussion, consensus and decisions. AI is unlikely to eliminate product management, much of which happens in the real world through discussion, consensus and decisions. Last stated 4 months ago
16 Jul 2026
IG
Itamar Gilad — holds since 2026-07-16 — tap for who they are
Same subject: A billboard buys only short, shallow awareness, so it does not work for education or for a startup before product-market fit. — tap to centre the map on it A billboard buys only short, shallow awareness, so it does not work for education or for a startup before product-market fit. Last stated 5 months ago
9 Jun 2026
EK
Emily Kramer — holds since 2026-06-09 — tap for who they are
Same subject: A company should hire a product manager only against a specific need, never by default. — tap to centre the map on it A company should hire a product manager only against a specific need, never by default. Last stated 3 months ago
2 Aug 2026
TV
Tom Verrilli — holds since 2026-08-02 — tap for who they are
Same subject: A company should stay small until it reaches product/market fit, so it can still pivot. — tap to centre the map on it A company should stay small until it reaches product/market fit, so it can still pivot. Last stated 8 years ago
11 May 2018
MM
Matt Mochary — holds since 2018-05-11 — tap for who they are
Same subject: A first-time founder has an advantage over a repeat winner, because past success makes it too easy to raise money and hire against a big vision before there is product-market fit. — tap to centre the map on it A first-time founder has an advantage over a repeat winner, because past success makes it too easy to raise money and hire against a big vision before there is product-market fit. Last stated 5 months ago
14 Jun 2026
MP
Mark Pincus — holds since 2026-06-14 — 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 2 months ago
10 Sept 2026
TY
Tamar Yehoshua — holds since 2026-09-10 — tap for who they are
Same subject: A product manager's job is the same as it always was: finding product-market fit and building products people love. — tap to centre the map on it A product manager's job is the same as it always was: finding product-market fit and building products people love. Last stated 2 months ago
10 Sept 2026
TY
Tamar Yehoshua — holds since 2026-09-10 — tap for who they are
Same subject: A product's core value needs both a phrase and a metric: metrics alone mean little to people, and a phrase alone does not get acted on. — tap to centre the map on it A product's core value needs both a phrase and a metric: metrics alone mean little to people, and a phrase alone does not get acted on. Last stated a month ago
20 Sept 2026
PS
Peter Sellis — holds since 2026-09-20 — tap for who they are
Same subject: A product/market fit survey score above 40% is encouraging even when retention cohorts keep declining. — tap to centre the map on it A product/market fit survey score above 40% is encouraging even when retention cohorts keep declining. Last stated 2 months ago
9 Sept 2026
SE
Sean Ellis — holds since 2026-09-09 — 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 4 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 tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 9 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. — tap to centre the map on it AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
Same subject: AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. — tap to centre the map on it AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. Last stated 2 years ago
2 Feb 2025
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
SA
Scott Alexander — holds since 2022-09-12 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
Same subject: As models keep growing, AI is running out of enough high-quality unique training tokens to keep up. — tap to centre the map on it As models keep growing, AI is running out of enough high-quality unique training tokens to keep up. Last stated 4 months ago
24 Jun 2026
LW
Lilian Weng — holds since 2026-06-24 — tap for who they are
Same subject: Current techniques restrict pre-trained representation power because standard language models are unidirectional. — tap to centre the map on it Current techniques restrict pre-trained representation power because standard language models are unidirectional. Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
At the centre
AI is unlikely to eliminate product management, much of which happens in the real world through discussion, consensus and decisions.
Holds Read this korrent →
A billboard buys only short, shallow awareness, so it does not work for education or for a startup before product-market fit.
Holds
A company should hire a product manager only against a specific need, never by default.
Holds
A company should stay small until it reaches product/market fit, so it can still pivot.
Holds
A first-time founder has an advantage over a repeat winner, because past success makes it too easy to raise money and hire against a big vision before there is product-market fit.
Holds
A large company should help its existing product managers become AI-native rather than only hiring people who already are.
Holds
A product manager's job is the same as it always was: finding product-market fit and building products people love.
Holds
A product's core value needs both a phrase and a metric: metrics alone mean little to people, and a phrase alone does not get acted on.
Holds
A product/market fit survey score above 40% is encouraging even when retention cohorts keep declining.
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 tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds
As models keep growing, AI is running out of enough high-quality unique training tokens to keep up.
Holds
Current techniques restrict pre-trained representation power because standard language models are unidirectional.
Holds