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← Predictions that AI would eliminate radiology jobs were wrong; radiology is growing.
17 connected korrents · 16 moments from 1 Jun 2009 to 15 Sept 2026.
Everything filed under AI and jobs
AI and jobs
Everything filed under computer vision
computer vision
Everything filed under AI and human skill
AI and human skill
Everything filed under coding agents
coding agents
Everything filed under AI agents
AI agents In tension 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: Predictions that AI would eliminate radiology jobs were wrong; radiology is growing. Predictions that AI would eliminate radiology jobs were wrong; radiology is growing. Last stated a year ago
25 Sept 2025
AK
Andrej Karpathy — holds since 2025-09-25 — tap for who they are
In tension: AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth. — tap to centre the map on it AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth. Last stated 9 months ago
1 Jan 2026
DA
Dario Amodei — holds since 2026-01-01 — tap for who they are
Same subject: AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function. — tap to centre the map on it AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function. Last stated 3 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
Same subject: Atlas is the first model to unify pixel generation and pixel reconstruction, two tracks computer vision has kept apart for over half a century. — tap to centre the map on it Atlas is the first model to unify pixel generation and pixel reconstruction, two tracks computer vision has kept apart for over half a century. Last stated a month ago
4 Sept 2026
FL
Fei-Fei Li — holds since 2026-09-04 — tap for who they are
Same subject: Hinton's prediction that radiology would stop being a job was wrong: radiologists are alive, well and growing in number. — tap to centre the map on it Hinton's prediction that radiology would stop being a job was wrong: radiologists are alive, well and growing in number. Last stated a year ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: ImageNet is much larger in scale and diversity and more accurate than existing image datasets. — tap to centre the map on it ImageNet is much larger in scale and diversity and more accurate than existing image datasets. Last stated 17 years ago
1 Jun 2009
FL
Fei-Fei Li — holds since 2009-06-01 — tap for who they are
Same subject: ImageNet's scale, accuracy, diversity and hierarchy could offer unparalleled opportunities to computer vision researchers. — tap to centre the map on it ImageNet's scale, accuracy, diversity and hierarchy could offer unparalleled opportunities to computer vision researchers. Last stated 17 years ago
1 Jun 2009
FL
Fei-Fei Li — holds since 2009-06-01 — tap for who they are
Same subject: Geoffrey Hinton's prediction that AI would take over radiology came true, and the number of radiologists went up anyway. — tap to centre the map on it Geoffrey Hinton's prediction that AI would take over radiology came true, and the number of radiologists went up anyway. Last stated 9 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: AI will eliminate many millions of jobs within the next few years, and that disruption will shape the politics of everything else about AI. — tap to centre the map on it AI will eliminate many millions of jobs within the next few years, and that disruption will shape the politics of everything else about AI. Last stated 2 years ago
15 Feb 2025
MB
Miles Brundage — holds since 2025-02-15 — tap for who they are
Same subject: Most current predictions about AI's imminent impact on the job market are naive. — tap to centre the map on it Most current predictions about AI's imminent impact on the job market are naive. Last stated a year ago
25 Sept 2025
AK
Andrej Karpathy — holds since 2025-09-25 — tap for who they are
Same subject: A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. — tap to centre the map on it A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it. Last stated 5 months ago
2 Jun 2026
LS
L. M. Sacasas — holds since 2026-06-02 — tap for who they are
Same subject: A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. — tap to centre the map on it A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do. Last stated 11 months ago
18 Nov 2025
SY
Scott H. Young — holds since 2025-11-18 — tap for who they are
Same subject: A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. — tap to centre the map on it A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job. Last stated a year ago
21 May 2025
EZ
Ed Zitron — holds since 2025-05-21 — tap for who they are
Same subject: "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. — tap to centre the map on it "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. — tap to centre the map on it A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. Last stated 7 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. — tap to centre the map on it A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair. Last stated a year ago
18 Aug 2025
CB
Clay Bavor — holds since 2025-08-18 — tap for who they are
Same subject: A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. — tap to centre the map on it A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. Last stated 5 months ago
21 May 2026
RK
Rohit Krishnan — holds since 2026-05-21 — tap for who they are
Same subject: A company cannot be led by machines, because nobody would have recourse against them. — tap to centre the map on it A company cannot be led by machines, because nobody would have recourse against them. Last stated a month ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
At the centre
Predictions that AI would eliminate radiology jobs were wrong; radiology is growing.
Holds Read this korrent →
AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth.
Holds
AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function.
Holds
Atlas is the first model to unify pixel generation and pixel reconstruction, two tracks computer vision has kept apart for over half a century.
Holds
Hinton's prediction that radiology would stop being a job was wrong: radiologists are alive, well and growing in number.
Holds
ImageNet is much larger in scale and diversity and more accurate than existing image datasets.
Holds
ImageNet's scale, accuracy, diversity and hierarchy could offer unparalleled opportunities to computer vision researchers.
Holds
Geoffrey Hinton's prediction that AI would take over radiology came true, and the number of radiologists went up anyway.
Holds
AI will eliminate many millions of jobs within the next few years, and that disruption will shape the politics of everything else about AI.
Holds
Most current predictions about AI's imminent impact on the job market are naive.
Holds
A machine doing your work better than you is no reason to stop doing it, because the point of the work was never that only you could do it.
Holds
A skill being automated is not a reason to stop learning it: practising what machines already do is often the stepping stone to what only people can do.
Holds
A well-written email does not need an AI summary, and an executive who delegates his reading to one has stopped doing the job.
Holds
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
Holds
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Holds
A coding agent left to run over a weekend returns work that is half good, a quarter garbage and a quarter in need of repair.
Holds
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
Holds
A company cannot be led by machines, because nobody would have recourse against them.
Holds