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← As AI labs aim for broad, general capability, handling messy…
17 connected korrents · 19 moments from 12 Sept 2022 to 23 Sept 2026.
Everything filed under AI agents
AI agents
Everything filed under AGI
AGI
Everything filed under AI and jobs
AI and jobs
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robotics
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AI and science
Everything filed under LLMs
LLMs 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 AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models. As AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models. Last stated 4 months ago
25 May 2026
RK
Rohit Krishnan — holds since 2026-05-25 — tap for who they are
Same subject: AI systems require human oversight rather than full autonomy in analysis and workflows. — tap to centre the map on it AI systems require human oversight rather than full autonomy in analysis and workflows. Last stated a year ago
5 Sept 2025
JE
Jason Evanish — holds since 2025-09-05 — tap for who they are
Same subject: AI is not yet capable of autonomously handling all real-world tasks. — tap to centre the map on it AI is not yet capable of autonomously handling all real-world tasks. Last stated a week ago
23 Sept 2026
MS
M.G. Siegler — holds since 2026-09-23 — tap for who they are
Same subject: We are still retrofitting the tools we already had onto workflows we have only imagined, instead of designing for how people will actually work with AI. — tap to centre the map on it We are still retrofitting the tools we already had onto workflows we have only imagined, instead of designing for how people will actually work with AI. Last stated 6 months ago
29 Mar 2026
CH
Chip Huyen — holds since 2026-03-29 — tap for who they are
Same subject: AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. — tap to centre the map on it AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. Last stated 2 months ago
10 Aug 2026
JC
Jack Clark — holds since 2026-08-10 — tap for who they are
Same subject: The right starting point for studying AI is treating it as genuinely powerful while its consequences unfold unpredictably through multiple complex social processes. — tap to centre the map on it The right starting point for studying AI is treating it as genuinely powerful while its consequences unfold unpredictably through multiple complex social processes. Last stated 3 weeks ago
12 Sept 2026
HF
Henry Farrell — holds since 2026-09-12 — tap for who they are
Same subject: AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now. — tap to centre the map on it AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now. Last stated 2 weeks ago
16 Sept 2026
KJ
Katelyn Jetelina — holds since 2026-09-16 — tap for who they are
Same subject: Designers will do well out of AI rather than badly, because taste is the hardest part of their job to imagine being automated away. — tap to centre the map on it Designers will do well out of AI rather than badly, because taste is the hardest part of their job to imagine being automated away. Last stated 3 months ago
9 Jul 2026
AM
Adam Mosseri — holds since 2026-07-09 — tap for who they are
Same subject: The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic. — tap to centre the map on it The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic. Last stated a month ago
25 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-25 — 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 3 weeks ago
10 Sept 2026
NL
Nathan Lambert — holds since 2026-09-10 — tap for who they are
Same subject: Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved. — tap to centre the map on it Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved. Last stated 8 months ago
22 Jan 2026
JL
Jan Leike — holds since 2026-01-22 — 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: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. — tap to centre the map on it A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. Last stated a week ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI. — tap to centre the map on it A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI. Last stated 2 weeks ago
18 Sept 2026
BT
Ben Thompson — holds since 2026-09-18 — tap for who they are
At the centre
As AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models.
Holds Read this korrent →
AI systems require human oversight rather than full autonomy in analysis and workflows.
Holds
AI is not yet capable of autonomously handling all real-world tasks.
Holds
We are still retrofitting the tools we already had onto workflows we have only imagined, instead of designing for how people will actually work with AI.
Holds
AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for.
Holds
The right starting point for studying AI is treating it as genuinely powerful while its consequences unfold unpredictably through multiple complex social processes.
Holds
AI-assisted biological research still depends on physical wet-lab work that remains a necessary bottleneck for now.
Holds
Designers will do well out of AI rather than badly, because taste is the hardest part of their job to imagine being automated away.
Holds
The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic.
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
Alignment of today's models is going well enough to look solvable, while aligning models we can no longer understand remains unsolved.
Holds
Anyone who thinks large language models are a direct route to transformative AGI is kidding themselves.
Holds
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Holds
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Holds
A proposal to pace frontier AI development is unrealistic and mainly serves political control of AI.
Holds