Tap a claim on the ring to put it at the centre.
← The demand for computing power remains short due to the explosive use of generative AI and there is no end in sight.
17 connected korrents · 17 moments from 25 Sept 2015 to 23 Oct 2026.
Everything filed under AI sentience
AI sentience
Everything filed under data centers
data centers
Everything filed under semiconductors
semiconductors
Everything filed under scaling laws
scaling laws
Everything filed under design
design
Everything filed under AI agents
AI agents 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 demand for computing power remains short due to the explosive use of generative AI and there is no end in sight. The demand for computing power remains short due to the explosive use of generative AI and there is no end in sight. Last stated 6 months ago
18 Apr 2026
JB
Josh Brown — holds since 2026-04-18 — tap for who they are
Same subject: Demand for AI computing power is growing faster than supply. — tap to centre the map on it Demand for AI computing power is growing faster than supply. Last stated a week ago
23 Oct 2026
DT
Derek Thompson — holds since 2026-10-23 — tap for who they are
Same subject: Current AI systems are very unlikely to be close to achieving genuine sentience. — tap to centre the map on it Current AI systems are very unlikely to be close to achieving genuine sentience. Last stated 4 months ago
16 Jul 2026
SJ
Steven Johnson — holds since 2026-07-16 — tap for who they are
Same subject: AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model. — tap to centre the map on it AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model. Last stated 3 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it. — tap to centre the map on it AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: Generative AI has failed to produce the learning gains it was promised to deliver and instead shows evidence of harming learning. — tap to centre the map on it Generative AI has failed to produce the learning gains it was promised to deliver and instead shows evidence of harming learning. Last stated 4 months ago
24 Jun 2026
DM
Dan Meyer — holds since 2026-06-24 — tap for who they are
Same subject: The usefulness of generative AI is still in doubt. — tap to centre the map on it The usefulness of generative AI is still in doubt. Last stated 3 months ago
23 Jul 2026
PR
Peter Rowlett — holds since 2026-07-23 — tap for who they are
Same subject: Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. — tap to centre the map on it Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. Last stated 9 months ago
12 Feb 2026
PS
Peter Steinberger — holds since 2026-02-12 — tap for who they are
Same subject: There is no AI bubble on the demand side: the shortage of computing capacity is global, and spans every company and industry. — tap to centre the map on it There is no AI bubble on the demand side: the shortage of computing capacity is global, and spans every company and industry. Last stated 10 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: AI sentience is a category error, and the chances of AIs being sentient are vanishingly small. — tap to centre the map on it AI sentience is a category error, and the chances of AIs being sentient are vanishingly small. Last stated 2 months ago
31 Aug 2026
TC
Tyler Cowen — holds since 2026-08-31 — tap for who they are
Same subject: An AI's sympathy and a friend's are not the same act: one is a learned pattern about what to say, the other rests on having felt the thing. — tap to centre the map on it An AI's sympathy and a friend's are not the same act: one is a learned pattern about what to say, the other rests on having felt the thing. Last stated 3 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: As we redesign life with new technologies, we should weigh the welfare of all sentient beings, not just humans — tap to centre the map on it As we redesign life with new technologies, we should weigh the welfare of all sentient beings, not just humans Last stated 11 years ago
25 Sept 2015
YH
Yuval Noah Harari — holds since 2015-09-25 — tap for who they are
Same subject: A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. — tap to centre the map on it A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. Last stated a month ago
22 Sept 2026
TC
Tyler Cowen — holds since 2026-09-22 — tap for who they are
Same subject: A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome. — tap to centre the map on it A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade. — tap to centre the map on it A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade. Last stated 3 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
Same subject: A company with a huge existing user base can keep funding AI data centers as long as its AI app's download numbers look healthy and it tops the charts, whatever its retention. — tap to centre the map on it A company with a huge existing user base can keep funding AI data centers as long as its AI app's download numbers look healthy and it tops the charts, whatever its retention. Last stated a week ago
21 Oct 2026
RB
Ryan Broderick — holds since 2026-10-21 — tap for who they are
Same subject: A data centre earns its county far more tax revenue per gallon of water than a golf course does. — tap to centre the map on it A data centre earns its county far more tax revenue per gallon of water than a golf course does. Last stated a year ago
11 Oct 2025
AM
Andy Masley — holds since 2025-10-11 — tap for who they are
Same subject: A data centre powered by solar and batteries alone needs an array so oversized that the design is not worth building. — tap to centre the map on it A data centre powered by solar and batteries alone needs an array so oversized that the design is not worth building. Last stated 3 years ago
18 Apr 2024
AV
Austin Vernon — holds since 2024-04-18 — tap for who they are
At the centre
The demand for computing power remains short due to the explosive use of generative AI and there is no end in sight.
Holds Read this korrent →
Demand for AI computing power is growing faster than supply.
Holds
Current AI systems are very unlikely to be close to achieving genuine sentience.
Holds
AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model.
Holds
AI will not run out of data, because there is already enough real-world data to build the simulators that generate more of it.
Holds
Generative AI has failed to produce the learning gains it was promised to deliver and instead shows evidence of harming learning.
Holds
The usefulness of generative AI is still in doubt.
Holds
Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet.
Holds
There is no AI bubble on the demand side: the shortage of computing capacity is global, and spans every company and industry.
Holds
AI sentience is a category error, and the chances of AIs being sentient are vanishingly small.
Holds
An AI's sympathy and a friend's are not the same act: one is a learned pattern about what to say, the other rests on having felt the thing.
Holds
As we redesign life with new technologies, we should weigh the welfare of all sentient beings, not just humans
Holds
A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute.
Holds
A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome.
Holds
A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade.
Holds
A company with a huge existing user base can keep funding AI data centers as long as its AI app's download numbers look healthy and it tops the charts, whatever its retention.
Holds
A data centre earns its county far more tax revenue per gallon of water than a golf course does.
Holds
A data centre powered by solar and batteries alone needs an array so oversized that the design is not worth building.
Holds