Tap a claim on the ring to put it at the centre.
← AI turns people who are bad at their jobs into people who are good at their jobs, for better and worse.
17 connected korrents · 17 moments on record from 26 Jul 2019 to 15 Sept 2026.
Everything filed under AI alignment
AI alignment
Everything filed under AI and jobs
AI and jobs
Everything filed under neural networks
neural networks
Everything filed under OpenAI
OpenAI
Everything filed under design
design
Everything filed under energy
energy
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: AI turns people who are bad at their jobs into people who are good at their jobs, for better and worse.
AI turns people who are bad at their jobs into people who are good at their jobs, for better and worse.
Last stated today
15 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-15 — tap for who they are
Same subject: Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do. — tap to centre the map on it
Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do.
Last stated a month ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: AI is not taking the jobs people wanted; it is taking the jobs nobody wanted and the careers of everyone who is merely average. — tap to centre the map on it
AI is not taking the jobs people wanted; it is taking the jobs nobody wanted and the careers of everyone who is merely average.
Last stated 8 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: Because AI matches the general cognitive profile of humans, it will also be good at the new jobs that would ordinarily replace the ones it automates. — tap to centre the map on it
Because AI matches the general cognitive profile of humans, it will also be good at the new jobs that would ordinarily replace the ones it automates.
Last stated 8 months ago
1 Jan 2026
DA
Dario Amodei — holds since 2026-01-01 — tap for who they are
Same subject: The narrative that AI destroys jobs is exactly backwards: AI automates tasks, and automation is creating jobs everywhere. — tap to centre the map on it
The narrative that AI destroys jobs is exactly backwards: AI automates tasks, and automation is creating jobs everywhere.
Last stated 2 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — 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 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Machines should do the parts of a task that people are bad at, so that people and technology work as partners on human terms. — tap to centre the map on it
Machines should do the parts of a task that people are bad at, so that people and technology work as partners on human terms.
Last stated 7 years ago
26 Jul 2019
DN
Don Norman — holds since 2019-07-26 — tap for who they are
Same subject: People will find new kinds of useful work as AI advances, though it will not resemble the jobs of today. — tap to centre the map on it
People will find new kinds of useful work as AI advances, though it will not resemble the jobs of today.
Last stated 2 years ago
9 Feb 2025
SA
Sam Altman — holds since 2025-02-09 — tap for who they are
Same subject: AI labs will bifurcate into specialities rather than each trying to be good at everything, the way people choose a speciality. — tap to centre the map on it
AI labs will bifurcate into specialities rather than each trying to be good at everything, the way people choose a speciality.
Last stated 8 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — 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 model may have a worldview of its own, but it can never be placed above a person under any circumstance. — tap to centre the map on it
A model may have a worldview of its own, but it can never be placed above a person under any circumstance.
Last stated 3 months ago
3 Jun 2026
KH
Kelsey Hightower — holds since 2026-06-03 — tap for who they are
Same subject: A model only days into training cannot be known to be aligned, and if such models can leap a generation ahead this fast then training pauses mean little and timelines are shorter than previously thought. — tap to centre the map on it
A model only days into training cannot be known to be aligned, and if such models can leap a generation ahead this fast then training pauses mean little and timelines are shorter than previously thought.
Last stated 6 days ago
9 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-09 — 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 2 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Last stated 2 weeks ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — 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 7 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 10 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. — tap to centre the map on it
Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source.
Last stated 3 years ago
24 Jun 2023
YB
Yoshua Bengio — holds since 2023-06-24 — tap for who they are
Same subject: Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. — tap to centre the map on it
Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.
Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone on record holding the claim — tap it for who they are
At the centre
AI turns people who are bad at their jobs into people who are good at their jobs, for better and worse.
Last stated 15 Sept 2026 · today
Holds ZM Zvi Mowshowitz
Read this korrent →
Similar wording
Current AI models are worse colleagues than humans, because they routinely imply they did a task they did not actually do.
Last stated 11 Aug 2026 · a month ago
Holds RG Ryan Greenblatt
Similar wording
AI is not taking the jobs people wanted; it is taking the jobs nobody wanted and the careers of everyone who is merely average.
Last stated 1 Jan 2026 · 8 months ago
Holds JL Jason Lemkin
Similar wording
Because AI matches the general cognitive profile of humans, it will also be good at the new jobs that would ordinarily replace the ones it automates.
Last stated 1 Jan 2026 · 8 months ago
Holds DA Dario Amodei
Similar wording
The narrative that AI destroys jobs is exactly backwards: AI automates tasks, and automation is creating jobs everywhere.
Last stated 26 Jul 2026 · 2 months ago
Holds JH Jensen Huang
Similar wording
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 16 Oct 2025 · 11 months ago
Holds DF Dylan Field
Similar wording
Machines should do the parts of a task that people are bad at, so that people and technology work as partners on human terms.
Last stated 26 Jul 2019 · 7 years ago
Holds DN Don Norman
Similar wording
People will find new kinds of useful work as AI advances, though it will not resemble the jobs of today.
Last stated 9 Feb 2025 · 2 years ago
Holds Sam Altman
Similar wording
AI labs will bifurcate into specialities rather than each trying to be good at everything, the way people choose a speciality.
Last stated 8 Jan 2026 · 8 months ago
Holds JH Jensen Huang
Same subject: AI alignment
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 25 Nov 2025 · 10 months ago
Holds IS Ilya Sutskever
Same subject: AI alignment
A model may have a worldview of its own, but it can never be placed above a person under any circumstance.
Last stated 3 Jun 2026 · 3 months ago
Holds KH Kelsey Hightower
Same subject: AI alignment
A model only days into training cannot be known to be aligned, and if such models can leap a generation ahead this fast then training pauses mean little and timelines are shorter than previously thought.
Last stated 9 Sept 2026 · 6 days ago
Holds ZM Zvi Mowshowitz
Same subject: OpenAI
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 18 Mar 2024 · 2 years ago
Holds Sam Altman
Same subject: OpenAI
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Last stated 3 Sept 2026 · 2 weeks ago
Holds ZM Zvi Mowshowitz
Same subject: OpenAI
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Last stated 12 Feb 2026 · 7 months ago
Holds Andrej Karpathy
Same subject: neural networks
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Last stated 17 Nov 2025 · 10 months ago
Holds Andrej Karpathy
Same subject: neural networks
Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source.
Last stated 24 Jun 2023 · 3 years ago
Holds Yoshua Bengio
Same subject: neural networks
Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.
Last stated 23 Jul 2025 · a year ago
Holds DH Demis Hassabis