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← If you want the model to pay attention to a certain thing, you have to say that thing.
17 connected korrents · 15 moments from 18 Mar 2024 to 3 Sept 2026.
Everything filed under LLMs
LLMs
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OpenAI
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Anthropic
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scaling laws
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humility
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robotics
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AI alignment
Everything filed under design
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: If you want the model to pay attention to a certain thing, you have to say that thing. If you want the model to pay attention to a certain thing, you have to say that thing. Last stated 6 months ago
14 Apr 2026
BL
Brian Lovin — holds since 2026-04-14 — 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: A model you have to fine-tune for each thing you want it to do is not a general-purpose model. — tap to centre the map on it A model you have to fine-tune for each thing you want it to do is not a general-purpose model. Last stated 2 months ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore. — tap to centre the map on it Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot. — tap to centre the map on it Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot. Last stated a year ago
12 Sept 2025
SL
Sergey Levine — holds since 2025-09-12 — tap for who they are
Same subject: Designers have to think a lot about how to expose what the models can now do in a way people understand, and how to give them the tools to do real, meaningful work. — tap to centre the map on it Designers have to think a lot about how to expose what the models can now do in a way people understand, and how to give them the tools to do real, meaningful work. Last stated 6 months ago
8 Apr 2026
IS
Ian Silber — holds since 2026-04-08 — tap for who they are
Same subject: Misalignment shows up most where a model is pushed to the very edge of its capability, which is exactly the regime that automating research will put it in. — tap to centre the map on it Misalignment shows up most where a model is pushed to the very edge of its capability, which is exactly the regime that automating research will put it in. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Treat the model a little like a junior designer: let it mock things up fast and give it feedback with your own taste. — tap to centre the map on it Treat the model a little like a junior designer: let it mock things up fast and give it feedback with your own taste. Last stated 2 months ago
4 Aug 2026
NP
Nate Parrott — holds since 2026-08-04 — tap for who they are
Same subject: A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. — tap to centre the map on it A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. Last stated a year ago
26 Sept 2025
RS
Richard Sutton — holds since 2025-09-26 — 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: Agents are going to be incorporated into mainstream interfaces — tap to centre the map on it Agents are going to be incorporated into mainstream interfaces Last stated 6 months ago
25 Mar 2026
DH
David Heinemeier Hansson — holds since 2026-03-25 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 3 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — 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 a month 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
If you want the model to pay attention to a certain thing, you have to say that thing.
Holds Read this korrent →
Do not assume how good a model will or will not be at the thing you want it to do.
Holds
A model you have to fine-tune for each thing you want it to do is not a general-purpose model.
Holds
Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore.
Holds
Having a job to do is what makes perception tractable, which is why an embodied model can learn from vision where a video model cannot.
Holds
Designers have to think a lot about how to expose what the models can now do in a way people understand, and how to give them the tools to do real, meaningful work.
Holds
Misalignment shows up most where a model is pushed to the very edge of its capability, which is exactly the regime that automating research will put it in.
Holds
Treat the model a little like a junior designer: let it mock things up fast and give it feedback with your own taste.
Holds
A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world.
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
Agents are going to be incorporated into mainstream interfaces
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
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