Tap a claim on the ring to put it at the centre.
← Use the latest and best models: if a model is wrong 10% of the time…
17 connected korrents · 16 moments from 28 Dec 2019 to 25 Oct 2026.
Everything filed under Anthropic
Anthropic
Everything filed under LLMs
LLMs
Everything filed under OpenAI
OpenAI
Everything filed under reinforcement learning
reinforcement learning
Everything filed under humility
humility
Everything filed under scaling laws
scaling laws
Everything filed under mental models
mental models
Everything filed under AI agents
AI agents 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: Use the latest and best models: if a model is wrong 10% of the time you cannot tell which 10%, so a cheaper one costs you extra attempts. Use the latest and best models: if a model is wrong 10% of the time you cannot tell which 10%, so a cheaper one costs you extra attempts. Last stated today
25 Oct 2026
TB
Thorsten Ball — holds since 2026-10-25 — tap for who they are
Same subject: Running a model five times and keeping the best answer buys a higher benchmark score without buying a better model. — tap to centre the map on it Running a model five times and keeping the best answer buys a higher benchmark score without buying a better model. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: An AI model that is right 92% of the time is worth almost infinitely more than one right 88% of the time. — tap to centre the map on it An AI model that is right 92% of the time is worth almost infinitely more than one right 88% of the time. Last stated 8 months ago
19 Feb 2026
NR
Naval Ravikant — holds since 2026-02-19 — tap for who they are
Same subject: Do not assume how good a model will or will not be at the thing you want it to do. — tap to centre the map on it Do not assume how good a model will or will not be at the thing you want it to do. Last stated 2 months ago
11 Aug 2026
KZ
Kyle Zantos — holds since 2026-08-11 — tap for who they are
Same subject: The way to find what a model can do is to hand it tasks slightly harder than you believe it can handle. — tap to centre the map on it The way to find what a model can do is to hand it tasks slightly harder than you believe it can handle. Last stated 3 months ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving. — tap to centre the map on it Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth. — tap to centre the map on it Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth. Last stated 2 years ago
19 Jun 2024
AS
Aravind Srinivas — holds since 2024-06-19 — tap for who they are
Same subject: Knowing the catalogue of mental models is not the hard part; knowing which ones matter most, which to apply often, and in which circumstances is. — tap to centre the map on it Knowing the catalogue of mental models is not the hard part; knowing which ones matter most, which to apply often, and in which circumstances is. Last stated 7 years ago
28 Dec 2019
NR
Naval Ravikant — holds since 2019-12-28 — tap for who they are
Same subject: Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. — tap to centre the map on it Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. Last stated 2 months ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. Last stated 4 days ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 2 months 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 3 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: "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. — tap to centre the map on it "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A skill is a set of repeatable, specific instructions that augments what Claude Code can do. — tap to centre the map on it A skill is a set of repeatable, specific instructions that augments what Claude Code can do. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
At the centre
Use the latest and best models: if a model is wrong 10% of the time you cannot tell which 10%, so a cheaper one costs you extra attempts.
Holds Read this korrent →
Running a model five times and keeping the best answer buys a higher benchmark score without buying a better model.
Holds
An AI model that is right 92% of the time is worth almost infinitely more than one right 88% of the time.
Holds
Do not assume how good a model will or will not be at the thing you want it to do.
Holds
The way to find what a model can do is to hand it tasks slightly harder than you believe it can handle.
Holds
Build where today's models succeed one percent of the time, not twenty: partial success means the capability is already arriving.
Holds
Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth.
Holds
Knowing the catalogue of mental models is not the hard part; knowing which ones matter most, which to apply often, and in which circumstances is.
Holds
Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
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
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A skill is a set of repeatable, specific instructions that augments what Claude Code can do.
Holds