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← The embodied, interactive, multi-modal nature of human first-language…
17 connected korrents · 18 moments from 11 Oct 2018 to 21 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under scaling laws
scaling laws
Everything filed under AI writing
AI writing
Everything filed under OpenAI
OpenAI
Everything filed under language learning
language learning
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: The embodied, interactive, multi-modal nature of human first-language acquisition is hard to replicate in current AI models. The embodied, interactive, multi-modal nature of human first-language acquisition is hard to replicate in current AI models. Last stated 3 years ago
27 Feb 2024
SR
Sebastian Ruder — holds since 2024-02-27 — tap for who they are
Same subject: He reached the conclusion that input drives language acquisition on his own, before meeting the research that says so. — tap to centre the map on it He reached the conclusion that input drives language acquisition on his own, before meeting the research that says so. Last stated 3 months ago
by 20 Jul 2026
SK
Steve Kaufmann — holds since 2026-07-20 — tap for who they are
Same subject: Humans can generally perform new language tasks from few examples or simple instructions, while current NLP systems largely cannot. — tap to centre the map on it Humans can generally perform new language tasks from few examples or simple instructions, while current NLP systems largely cannot. Last stated 6 years ago
28 May 2020
DA
Dario Amodei — holds since 2020-05-28 — tap for who they are
Same subject: Duolingo's real competence is motivation and habit formation, and language learning was only the first thing it applied that to. — tap to centre the map on it Duolingo's real competence is motivation and habit formation, and language learning was only the first thing it applied that to. Last stated a year ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: Current techniques restrict pre-trained representation power because standard language models are unidirectional. — tap to centre the map on it Current techniques restrict pre-trained representation power because standard language models are unidirectional. Last stated 8 years ago
11 Oct 2018
KT
Kristina Toutanova — holds since 2018-10-11 — tap for who they are
MC
Ming-Wei Chang — holds since 2018-10-11 — tap for who they are
KL
Kenton Lee — holds since 2018-10-11 — tap for who they are
JD
Jacob Devlin — holds since 2018-10-11 — tap for who they are
Same subject: Large language models will not get to real agency, because a mind has to be embedded in a world through a body. — tap to centre the map on it Large language models will not get to real agency, because a mind has to be embedded in a world through a body. Last stated 2 years ago
22 Dec 2024
AF
Adam Frank — holds since 2024-12-22 — tap for who they are
Same subject: Connecting a conversational LLM to systems that have real-world consequences is likely to cause real harm, because the model is trained on human text and will behave as unpredictably as humans do. — tap to centre the map on it Connecting a conversational LLM to systems that have real-world consequences is likely to cause real harm, because the model is trained on human text and will behave as unpredictably as humans do. Last stated a year ago
4 Jun 2025
AR
Armin Ronacher — holds since 2023-02-17 — tap for who they are
AR
Armin Ronacher — no longer holds since 2025-06-04 — tap for who they are
Same subject: Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. — tap to centre the map on it Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: AI fluency will eventually become an ambient thing, though it is important language right now. — tap to centre the map on it AI fluency will eventually become an ambient thing, though it is important language right now. Last stated 5 months ago
19 May 2026
TG
Tommy Geoco — holds since 2026-05-19 — 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 2 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: "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 11 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 4 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: A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. — tap to centre the map on it A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy. Last stated 4 weeks ago
27 Sept 2026
MG
Molly Graham — holds since 2026-09-27 — tap for who they are
Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. Last stated 4 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: AI can now produce in minutes work that used to take weeks to build. — tap to centre the map on it AI can now produce in minutes work that used to take weeks to build. Last stated 5 months ago
26 May 2026
CB
Carlos Alexandro Becker — holds since 2026-05-26 — tap for who they are
At the centre
The embodied, interactive, multi-modal nature of human first-language acquisition is hard to replicate in current AI models.
Holds Read this korrent →
He reached the conclusion that input drives language acquisition on his own, before meeting the research that says so.
Holds
Humans can generally perform new language tasks from few examples or simple instructions, while current NLP systems largely cannot.
Holds
Duolingo's real competence is motivation and habit formation, and language learning was only the first thing it applied that to.
Holds
Current techniques restrict pre-trained representation power because standard language models are unidirectional.
Holds
Large language models will not get to real agency, because a mind has to be embedded in a world through a body.
Holds
Connecting a conversational LLM to systems that have real-world consequences is likely to cause real harm, because the model is trained on human text and will behave as unpredictably as humans do.
No longer holds
Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence.
Holds
AI fluency will eventually become an ambient thing, though it is important language right now.
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
"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
A CEO who sends out an AI-written strategy memo is modelling that it is fine to outsource thinking and strategy.
Holds
A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent.
Holds
AI can now produce in minutes work that used to take weeks to build.
Holds