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← AI model improvements must tail off at some point, but there is no reason that point has to come soon.
17 connected korrents · 17 moments from 11 Oct 2024 to 26 Oct 2026.
Everything filed under LLMs
LLMs
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scaling laws
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Anthropic
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recursive self-improvement
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management
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AI agents
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OpenAI 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 model improvements must tail off at some point, but there is no reason that point has to come soon. AI model improvements must tail off at some point, but there is no reason that point has to come soon. Last stated 2 months ago
20 Sept 2026
JB
Jamie Brandon — holds since 2026-09-20 — tap for who they are
Same subject: There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever. — tap to centre the map on it There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever. Last stated 2 months ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: AI model capabilities have not slowed down so far, and their progress probably won't stop anytime soon. — tap to centre the map on it AI model capabilities have not slowed down so far, and their progress probably won't stop anytime soon. Last stated 2 months ago
3 Sept 2026
AR
Armin Ronacher — holds since 2026-09-03 — tap for who they are
Same subject: The current capabilities of existing AI models are barely being used and are often not even well understood. — tap to centre the map on it The current capabilities of existing AI models are barely being used and are often not even well understood. Last stated 2 months ago
18 Sept 2026
EM
Ethan Mollick — holds since 2026-09-18 — tap for who they are
Same subject: An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. — tap to centre the map on it An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. Last stated a year ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. — tap to centre the map on it Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first. Last stated 12 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: The current speed of AI progress could be sustained all the way into recursive self-improvement. — tap to centre the map on it The current speed of AI progress could be sustained all the way into recursive self-improvement. Last stated 2 months ago
6 Sept 2026
JP
Jakub Pachocki — holds since 2026-09-06 — tap for who they are
Same subject: The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. — tap to centre the map on it The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. Last stated a month ago
30 Sept 2026
RC
Rui Carmo — holds since 2026-09-30 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A CPU and memory crunch is coming. — tap to centre the map on it A CPU and memory crunch is coming. Last stated a week ago
26 Oct 2026
DM
Dillon Mulroy — holds since 2026-10-26 — tap for who they are
Same subject: Scaling the 2019-2023 recipe — same architecture, bigger model, more data — is not enough; further progress depends on new architectural ideas. — tap to centre the map on it Scaling the 2019-2023 recipe — same architecture, bigger model, more data — is not enough; further progress depends on new architectural ideas. Last stated 2 years ago
20 Dec 2024
FC
François Chollet — holds since 2024-12-20 — tap for who they are
GM
Gary Marcus — holds since 2024-10-11 — tap for who they are
Same subject: The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work. — tap to centre the map on it The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work. Last stated 3 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
Same subject: A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. — tap to centre the map on it A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week. Last stated 2 weeks ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: Nobody wants a slow model, which is why labs will not trade inference speed for cheaper memory even though they easily could. — tap to centre the map on it Nobody wants a slow model, which is why labs will not trade inference speed for cheaper memory even though they easily could. Last stated 8 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — 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 8 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
At the centre
AI model improvements must tail off at some point, but there is no reason that point has to come soon.
Holds Read this korrent →
There will be no sudden fast takeoff in AI, even though model progress is happening faster than ever.
Holds
AI model capabilities have not slowed down so far, and their progress probably won't stop anytime soon.
Holds
The current capabilities of existing AI models are barely being used and are often not even well understood.
Holds
An end-to-end self-improving AI is probably possible, but it is not even desirable, because it is a hard-takeoff scenario.
Holds
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Holds
Economic growth from AI waits on change management, not on model capability: the work artifact and the workflow have to change first.
Holds
The current speed of AI progress could be sustained all the way into recursive self-improvement.
Holds
The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A CPU and memory crunch is coming.
Holds
Scaling the 2019-2023 recipe — same architecture, bigger model, more data — is not enough; further progress depends on new architectural ideas.
Holds
The ChatGPT moment for robotics already happened a couple of years ago; what remains is the unglamorous post-training work.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
Nobody wants a slow model, which is why labs will not trade inference speed for cheaper memory even though they easily could.
Holds
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds