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← The time between deciding to cross a dangerous AI capability threshold…
17 connected korrents · 21 moments from 10 Jun 2022 to 23 Oct 2026.
Everything filed under AI alignment
AI alignment
Everything filed under AGI
AGI
Everything filed under cybersecurity
cybersecurity
Everything filed under AI agents
AI agents
Everything filed under JavaScript
JavaScript
Everything filed under video games
video games
Everything filed under LLMs
LLMs
Everything filed under reinforcement learning
reinforcement learning 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 time between deciding to cross a dangerous AI capability threshold and actually crossing it could be extremely short, even seconds. The time between deciding to cross a dangerous AI capability threshold and actually crossing it could be extremely short, even seconds. Last stated a year ago
18 Jun 2025
MB
Miles Brundage — holds since 2025-06-18 — tap for who they are
Same subject: AI has cut the gap between finding a software vulnerability and its exploitation from weeks to minutes. — tap to centre the map on it AI has cut the gap between finding a software vulnerability and its exploitation from weeks to minutes. Last stated 2 weeks ago
23 Oct 2026
AJ
Andy Jassy — holds since 2026-10-23 — tap for who they are
Same subject: AI capability will look dramatically different within about three years, provided agents can be reliably deployed and evaluated. — tap to centre the map on it AI capability will look dramatically different within about three years, provided agents can be reliably deployed and evaluated. Last stated 3 years ago
22 Mar 2024
EG
Elad Gil — holds since 2024-03-22 — tap for who they are
Same subject: The slow diffusion of new AI capabilities gives society time to react to them, though that time is usually wasted before panic sets in. — tap to centre the map on it The slow diffusion of new AI capabilities gives society time to react to them, though that time is usually wasted before panic sets in. Last stated 9 months ago
29 Jan 2026
AN
Arvind Narayanan — holds since 2026-01-29 — tap for who they are
Same subject: Any given AI capability becomes cheap and widely available within a couple of years of first being reached, so nobody can be kept away from it for long. — tap to centre the map on it Any given AI capability becomes cheap and widely available within a couple of years of first being reached, so nobody can be kept away from it for long. Last stated 2 years ago
5 Apr 2025
HT
Helen Toner — holds since 2025-04-05 — tap for who they are
EY
Eliezer Yudkowsky — holds since 2022-06-10 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
Same subject: Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time. — tap to centre the map on it Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time. Last stated 2 months ago
2 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-02 — tap for who they are
Same subject: This is a critically important moment for AI cyber defence and there is not much time left to act; only a collective response will work. — tap to centre the map on it This is a critically important moment for AI cyber defence and there is not much time left to act; only a collective response will work. Last stated 2 months ago
27 Aug 2026
SA
Sam Altman — holds since 2026-08-27 — tap for who they are
Same subject: The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. — tap to centre the map on it The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. Last stated 4 months ago
15 Jul 2026
TY
Tynan — holds since 2026-07-15 — tap for who they are
Same subject: Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe. — tap to centre the map on it Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe. Last stated 2 years ago
1 Apr 2025
HT
Helen Toner — holds since 2025-04-01 — tap for who they are
MB
Miles Brundage — holds since 2024-12-20 — 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
Same subject: AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. — tap to centre the map on it AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. Last stated 2 years ago
2 Feb 2025
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
SA
Scott Alexander — holds since 2022-09-12 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
Same subject: AI progress is jagged: models are becoming superhuman at math and software engineering while remaining far weaker at intuition, creativity, and other forms of human reasoning. — tap to centre the map on it AI progress is jagged: models are becoming superhuman at math and software engineering while remaining far weaker at intuition, creativity, and other forms of human reasoning. Last stated 2 months ago
10 Sept 2026
NL
Nathan Lambert — holds since 2026-09-10 — tap for who they are
Same subject: Anyone who thinks large language models are a direct route to transformative AGI is kidding themselves. — tap to centre the map on it Anyone who thinks large language models are a direct route to transformative AGI is kidding themselves. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: Scaling up GPT will never produce AGI, because a model trained on cross-entropy loss cannot get there; reinforcement learning in rich environments is required. — tap to centre the map on it Scaling up GPT will never produce AGI, because a model trained on cross-entropy loss cannot get there; reinforcement learning in rich environments is required. Last stated 3 years ago
29 Jun 2023
GH
George Hotz — holds since 2023-06-29 — tap for who they are
Same subject: Training AIs on millions of verifiable tasks in diverse RL environments will lead to AGI. — tap to centre the map on it Training AIs on millions of verifiable tasks in diverse RL environments will lead to AGI. Last stated 4 months ago
26 Jun 2026
DP
Dwarkesh Patel — holds since 2026-06-26 — 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
At the centre
The time between deciding to cross a dangerous AI capability threshold and actually crossing it could be extremely short, even seconds.
Holds Read this korrent →
AI has cut the gap between finding a software vulnerability and its exploitation from weeks to minutes.
Holds
AI capability will look dramatically different within about three years, provided agents can be reliably deployed and evaluated.
Holds
The slow diffusion of new AI capabilities gives society time to react to them, though that time is usually wasted before panic sets in.
Holds
Any given AI capability becomes cheap and widely available within a couple of years of first being reached, so nobody can be kept away from it for long.
Holds
Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time.
Holds
This is a critically important moment for AI cyber defence and there is not much time left to act; only a collective response will work.
Holds
The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet.
Holds
Advanced AI is close enough that the preparations which take years have to be started now, whichever end of the expert range you believe.
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
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds
AI progress is jagged: models are becoming superhuman at math and software engineering while remaining far weaker at intuition, creativity, and other forms of human reasoning.
Holds
Anyone who thinks large language models are a direct route to transformative AGI is kidding themselves.
Holds
Scaling up GPT will never produce AGI, because a model trained on cross-entropy loss cannot get there; reinforcement learning in rich environments is required.
Holds
Training AIs on millions of verifiable tasks in diverse RL environments will lead to AGI.
Holds
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds