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← Most of the questions people have about a company's data are never…
17 connected korrents · 16 moments from 3 Feb 2023 to 18 Sept 2026.
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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: Most of the questions people have about a company's data are never asked, and giving them a machine to ask instead of a colleague uncovers them. Most of the questions people have about a company's data are never asked, and giving them a machine to ask instead of a colleague uncovers them. Last stated a year ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: The obstacle to search is not the competition but the fact that people are not naturally good at turning curiosity into a question. — tap to centre the map on it The obstacle to search is not the competition but the fact that people are not naturally good at turning curiosity into a question. Last stated 2 years ago
19 Jun 2024
AS
Aravind Srinivas — holds since 2024-06-19 — tap for who they are
Same subject: Probably the most important question in product is why people are or are not using it, and most teams never ask it. — tap to centre the map on it Probably the most important question in product is why people are or are not using it, and most teams never ask it. Last stated a month ago
10 Sept 2026
MC
Marty Cagan — holds since 2026-09-10 — tap for who they are
Same subject: Corporations should not weigh in on social and political questions outside their direct sphere of operations — tap to centre the map on it Corporations should not weigh in on social and political questions outside their direct sphere of operations Last stated 4 years ago
3 Feb 2023
DH
David Heinemeier Hansson — holds since 2023-02-03 — tap for who they are
Same subject: The fastest-growing companies are not using data well, because they reached enormous scale before they had time to build any of the instrumentation. — tap to centre the map on it The fastest-growing companies are not using data well, because they reached enormous scale before they had time to build any of the instrumentation. Last stated a year ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: Users do not know what they want, so the job is to give people opportunities to tell you things without telling you things, rather than doing user research in a traditional sense. — tap to centre the map on it Users do not know what they want, so the job is to give people opportunities to tell you things without telling you things, rather than doing user research in a traditional sense. Last stated 3 months ago
15 Jul 2026
JY
Jason Yuan — holds since 2026-07-15 — tap for who they are
Same subject: People should hold companies accountable for using their data carefully, because it is very personal. — tap to centre the map on it People should hold companies accountable for using their data carefully, because it is very personal. Last stated 4 months ago
29 Jun 2026
DA
Daniela Amodei — holds since 2026-06-29 — tap for who they are
Same subject: A company that leaks private information faces far more reputational and legal danger than one that gives wrong answers. — tap to centre the map on it A company that leaks private information faces far more reputational and legal danger than one that gives wrong answers. Last stated a month ago
18 Sept 2026
HD
Horace Dediu — holds since 2026-09-18 — tap for who they are
Same subject: Asking very naive questions goes a long way in a young field like AI. — tap to centre the map on it Asking very naive questions goes a long way in a young field like AI. Last stated a year ago
16 Jun 2025
JK
Jared Kaplan — holds since 2025-06-16 — tap for who they are
Same subject: Changing societal outcomes requires changing minds, and the credibility many diverse co-authors lend to a conclusion is hard to replicate with AI. — tap to centre the map on it Changing societal outcomes requires changing minds, and the credibility many diverse co-authors lend to a conclusion is hard to replicate with AI. Last stated a year ago
27 Aug 2025
MB
Miles Brundage — holds since 2025-08-27 — tap for who they are
Same subject: People have grown accustomed to AI being non-deterministic and occasionally wrong, so it carries little brand risk anymore. — tap to centre the map on it People have grown accustomed to AI being non-deterministic and occasionally wrong, so it carries little brand risk anymore. Last stated a month ago
18 Sept 2026
HD
Horace Dediu — holds since 2026-09-18 — tap for who they are
Same subject: Younger generations are rejecting AI hype while older generations, who stand to benefit from it, remain optimistic — tap to centre the map on it Younger generations are rejecting AI hype while older generations, who stand to benefit from it, remain optimistic Last stated 5 months ago
4 Jun 2026
TM
Tom MacWright — holds since 2026-06-04 — 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 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 8 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
At the centre
Most of the questions people have about a company's data are never asked, and giving them a machine to ask instead of a colleague uncovers them.
Holds Read this korrent →
The obstacle to search is not the competition but the fact that people are not naturally good at turning curiosity into a question.
Holds
Probably the most important question in product is why people are or are not using it, and most teams never ask it.
Holds
Corporations should not weigh in on social and political questions outside their direct sphere of operations
Holds
The fastest-growing companies are not using data well, because they reached enormous scale before they had time to build any of the instrumentation.
Holds
Users do not know what they want, so the job is to give people opportunities to tell you things without telling you things, rather than doing user research in a traditional sense.
Holds
People should hold companies accountable for using their data carefully, because it is very personal.
Holds
A company that leaks private information faces far more reputational and legal danger than one that gives wrong answers.
Holds
Asking very naive questions goes a long way in a young field like AI.
Holds
Changing societal outcomes requires changing minds, and the credibility many diverse co-authors lend to a conclusion is hard to replicate with AI.
Holds
People have grown accustomed to AI being non-deterministic and occasionally wrong, so it carries little brand risk anymore.
Holds
Younger generations are rejecting AI hype while older generations, who stand to benefit from it, remain optimistic
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