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← Future AI progress may be driven by models learning from their…
17 connected korrents · 16 moments from 10 Oct 2023 to 25 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under AI alignment
AI alignment
Everything filed under AGI
AGI
Everything filed under OpenAI
OpenAI
Everything filed under Anthropic
Anthropic 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: Future AI progress may be driven by models learning from their deployment experience through continual learning. Future AI progress may be driven by models learning from their deployment experience through continual learning. Last stated 4 months ago
26 Jun 2026
DP
Dwarkesh Patel — holds since 2026-06-26 — tap for who they are
Same subject: AI should be deployed incrementally and in advance, because a system that does not yet exist is one almost nobody can imagine. — tap to centre the map on it AI should be deployed incrementally and in advance, because a system that does not yet exist is one almost nobody can imagine. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: As AI models improve, pre-emptive defense must also improve. — tap to centre the map on it As AI models improve, pre-emptive defense must also improve. Last stated 4 days ago
25 Oct 2026
PL
Pieter Levels — holds since 2026-10-25 — tap for who they are
Same subject: AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. — tap to centre the map on it AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time. — tap to centre the map on it Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter. — tap to centre the map on it AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter. Last stated a year ago
16 Jun 2025
JK
Jared Kaplan — holds since 2025-06-16 — tap for who they are
Same subject: If AIs can now considerably improve the training of future AIs, this is very unlikely to end well. — tap to centre the map on it If AIs can now considerably improve the training of future AIs, this is very unlikely to end well. Last stated a week ago
21 Oct 2026
KP
Kelsey Piper — holds since 2026-10-21 — tap for who they are
Same subject: Misaligned AI behavior will keep growing more severe as AI capabilities increase, unless the principles used to train advanced models are revisited. — tap to centre the map on it Misaligned AI behavior will keep growing more severe as AI capabilities increase, unless the principles used to train advanced models are revisited. Last stated 2 months ago
11 Sept 2026
YB
Yoshua Bengio — holds since 2026-09-11 — 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 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 a week 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: 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: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. Last stated 5 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality — tap to centre the map on it A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — tap for who they are
At the centre
Future AI progress may be driven by models learning from their deployment experience through continual learning.
Holds Read this korrent →
AI should be deployed incrementally and in advance, because a system that does not yet exist is one almost nobody can imagine.
Holds
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Holds
As AI models improve, pre-emptive defense must also improve.
Holds
AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away.
Holds
Broad deployment of AI that can learn on the job will very likely produce rapid economic growth for some period of time.
Holds
AI progress comes from a simple, systematic way of improving models, not from researchers suddenly getting smarter.
Holds
If AIs can now considerably improve the training of future AIs, this is very unlikely to end well.
Holds
Misaligned AI behavior will keep growing more severe as AI capabilities increase, unless the principles used to train advanced models are revisited.
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 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
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds
A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
Holds