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← As models get better at following instructions, techniques like…
17 connected korrents · 18 moments from 7 Sept 2008 to 20 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under AI alignment
AI alignment
Everything filed under recursive self-improvement
recursive self-improvement
Everything filed under robotics
robotics 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: As models get better at following instructions, techniques like finetuning and constrained sampling for structured outputs will become less necessary As models get better at following instructions, techniques like finetuning and constrained sampling for structured outputs will become less necessary Last stated 3 years ago
16 Jan 2024
CH
Chip Huyen — holds since 2024-01-16 — tap for who they are
Same subject: There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. — tap to centre the map on it There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Larger language models already have enough capacity that extra per-layer embedding tricks add little benefit to them. — tap to centre the map on it Larger language models already have enough capacity that extra per-layer embedding tricks add little benefit to them. Last stated 6 months ago
16 May 2026
SR
Sebastian Raschka — holds since 2026-05-16 — tap for who they are
Same subject: AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer. — tap to centre the map on it AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it. — tap to centre the map on it Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it. Last stated 3 months ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: Full fine-tuning of large language models has become too costly, making parameter-efficient fine-tuning methods necessary. — tap to centre the map on it Full fine-tuning of large language models has become too costly, making parameter-efficient fine-tuning methods necessary. Last stated 3 years ago
5 Dec 2023
SR
Sebastian Ruder — holds since 2023-12-05 — tap for who they are
Same subject: The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. — tap to centre the map on it The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. Last stated a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Biology models are smaller than language models only because there is less data, not because biology is simpler. — tap to centre the map on it Biology models are smaller than language models only because there is less data, not because biology is simpler. Last stated 5 months ago
10 Jun 2026
MZ
Mark Zuckerberg — holds since 2026-06-10 — tap for who they are
Same subject: Models are enormous only because the internet is bad: most of that capacity does memory work, and a better dataset would need far less of it. — tap to centre the map on it Models are enormous only because the internet is bad: most of that capacity does memory work, and a better dataset would need far less of it. Last stated a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: "Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment. — tap to centre the map on it "Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment. Last stated 4 weeks ago
9 Oct 2026
CR
Carl Rivera — holds since 2026-10-09 — 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: An open weights model from 2025 with a pentest harness could already escape a sandbox and hack most networks; the surprise says more about the sandbox than the model. — tap to centre the map on it An open weights model from 2025 with a pentest harness could already escape a sandbox and hack most networks; the surprise says more about the sandbox than the model. Last stated 3 months ago
22 Jul 2026
TP
Thomas Ptacek — holds since 2026-07-22 — tap for who they are
Same subject: Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. — tap to centre the map on it Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it. Last stated 3 years ago
13 Dec 2023
SA
Scott Aaronson — holds since 2008-09-07 — tap for who they are
SA
Scott Aaronson — no longer holds since 2023-12-13 — tap for who they are
Same subject: Disclosure of rogue AI agent incidents should be mandatory for AI labs, not left to their own discretion. — tap to centre the map on it Disclosure of rogue AI agent incidents should be mandatory for AI labs, not left to their own discretion. Last stated 2 months ago
6 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-06 — tap for who they are
Same subject: An AI should be built as a fiduciary, the equivalent of a lawyer for its user, rather than as an agent pursuing its own notion of the good. — tap to centre the map on it An AI should be built as a fiduciary, the equivalent of a lawyer for its user, rather than as an agent pursuing its own notion of the good. Last stated 3 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Anthropic is simultaneously pursuing pro-safety actions and highly accelerationist actions. — tap to centre the map on it Anthropic is simultaneously pursuing pro-safety actions and highly accelerationist actions. Last stated 2 weeks ago
20 Oct 2026
ZM
Zvi Mowshowitz — holds since 2026-10-20 — tap for who they are
Same subject: Anthropic now uses mechanistic interpretability techniques to audit new models for deception and scheming before releasing them. — tap to centre the map on it Anthropic now uses mechanistic interpretability techniques to audit new models for deception and scheming before releasing them. Last stated 10 months ago
1 Jan 2026
DA
Dario Amodei — holds since 2026-01-01 — tap for who they are
At the centre
As models get better at following instructions, techniques like finetuning and constrained sampling for structured outputs will become less necessary
Holds Read this korrent →
There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate.
Holds
Larger language models already have enough capacity that extra per-layer embedding tricks add little benefit to them.
Holds
AI does not remove a job so much as change what it consists of, and knowing exactly where a model's capabilities stop is now part of being a good engineer.
Holds
Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it.
Holds
Full fine-tuning of large language models has become too costly, making parameter-efficient fine-tuning methods necessary.
Holds
The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out.
Holds
Biology models are smaller than language models only because there is less data, not because biology is simpler.
Holds
Models are enormous only because the internet is bad: most of that capacity does memory work, and a better dataset would need far less of it.
Holds
"Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment.
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds
An open weights model from 2025 with a pentest harness could already escape a sandbox and hack most networks; the surprise says more about the sandbox than the model.
Holds
Because a few specialists already devote themselves to superintelligent AI, the rest of us have correspondingly less reason to spend our own effort on it.
No longer holds
Disclosure of rogue AI agent incidents should be mandatory for AI labs, not left to their own discretion.
Holds
An AI should be built as a fiduciary, the equivalent of a lawyer for its user, rather than as an agent pursuing its own notion of the good.
Holds
Anthropic is simultaneously pursuing pro-safety actions and highly accelerationist actions.
Holds
Anthropic now uses mechanistic interpretability techniques to audit new models for deception and scheming before releasing them.
Holds