Tap a claim on the ring to put it at the centre.
← Earlier AI systems consumed the Internet and became a patchwork of mediocrity.
17 connected korrents · 18 moments on record from 24 Feb 2018 to 10 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under AI alignment
AI alignment
Everything filed under design
design
Everything filed under semiconductors
semiconductors
Everything filed under coding agents
coding 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: Earlier AI systems consumed the Internet and became a patchwork of mediocrity.
Earlier AI systems consumed the Internet and became a patchwork of mediocrity.
Last stated yesterday
10 Sept 2026
NR
Naval Ravikant — holds since 2026-09-10 — tap for who they are
Same subject: Technologies are almost always preceded by slightly worse versions of themselves, and there is no reason for AI to be the exception. — tap to centre the map on it
Technologies are almost always preceded by slightly worse versions of themselves, and there is no reason for AI to be the exception.
Last stated 9 years ago
24 Feb 2018
PC
Paul Christiano — holds since 2018-02-24 — tap for who they are
Same subject: Neither the AI enthusiasts nor the AI sceptics are making it up; both camps are looking at real trends. — tap to centre the map on it
Neither the AI enthusiasts nor the AI sceptics are making it up; both camps are looking at real trends.
Last stated 4 weeks ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — tap for who they are
Same subject: No one fully understands the consequences of how capable AI is becoming. — tap to centre the map on it
No one fully understands the consequences of how capable AI is becoming.
Last stated a week ago
1 Sept 2026
SA
Sam Altman — holds since 2026-09-01 — tap for who they are
Same subject: AI's impact will be bigger than the internet's, and more profound. — tap to centre the map on it
AI's impact will be bigger than the internet's, and more profound.
Last stated 3 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it. — tap to centre the map on it
What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it.
Last stated 3 months ago
24 Jun 2026
NE
NeetCode — holds since 2026-06-24 — tap for who they are
Same subject: Semiconductor infrastructure has not kept up with AI's growth, and closing that gap needs capacity built in unconventional ways. — tap to centre the map on it
Semiconductor infrastructure has not kept up with AI's growth, and closing that gap needs capacity built in unconventional ways.
Last stated 3 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — 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 did not create the bottlenecks in software delivery; it threw gas on processes everybody already knew were weak. — tap to centre the map on it
AI did not create the bottlenecks in software delivery; it threw gas on processes everybody already knew were weak.
Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Last stated 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved. — tap to centre the map on it
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Last stated a month ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model. — tap to centre the map on it
A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model.
Last stated 2 months ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence. — tap to centre the map on it
Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence.
Last stated 2 years ago
3 Feb 2025
NL
Nathan Lambert — holds since 2025-02-03 — tap for who they are
Same subject: The LLM line of research will reach a capability plateau. — tap to centre the map on it
The LLM line of research will reach a capability plateau.
Last stated a month ago
7 Aug 2026
FC
François Chollet — no longer holds since 2026-08-07 — tap for who they are
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly. — tap to centre the map on it
The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly.
Last stated 2 years ago
20 Dec 2024
FC
François Chollet — holds since 2024-12-20 — tap for who they are
FC
François Chollet — no longer holds since 2024-12-20 — tap for who they are
Same subject: LLMs can write a large fraction of the tedious code a developer will ever need to write, and most code on most projects is tedious. — tap to centre the map on it
LLMs can write a large fraction of the tedious code a developer will ever need to write, and most code on most projects is tedious.
Last stated a year ago
2 Jun 2025
TP
Thomas Ptacek — holds since 2025-06-02 — tap for who they are
Same subject: Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth. — tap to centre the map on it
Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth.
Last stated 2 years ago
19 Jun 2024
AS
Aravind Srinivas — holds since 2024-06-19 — tap for who they are
Same subject: Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter. — tap to centre the map on it
Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter.
Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — 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 faded, dashed ring: they no longer hold it — they changed their mind
At the centre
Earlier AI systems consumed the Internet and became a patchwork of mediocrity.
Last stated 10 Sept 2026 · yesterday
Holds Naval Ravikant
Read this korrent →
Similar wording
Technologies are almost always preceded by slightly worse versions of themselves, and there is no reason for AI to be the exception.
Last stated 24 Feb 2018 · 9 years ago
Holds PC Paul Christiano
Similar wording
Neither the AI enthusiasts nor the AI sceptics are making it up; both camps are looking at real trends.
Last stated 12 Aug 2026 · 4 weeks ago
Holds CM Charity Majors
Similar wording
No one fully understands the consequences of how capable AI is becoming.
Last stated 1 Sept 2026 · a week ago
Holds Sam Altman
Similar wording
AI's impact will be bigger than the internet's, and more profound.
Last stated 18 Jun 2026 · 3 months ago
Holds LT Lip-Bu Tan
Similar wording
What AI has exposed is a shortfall of effort and caring, not of intelligence: people who cannot say why they moved a button never thought about it.
Last stated 24 Jun 2026 · 3 months ago
Holds NE NeetCode
Similar wording
Semiconductor infrastructure has not kept up with AI's growth, and closing that gap needs capacity built in unconventional ways.
Last stated 18 Jun 2026 · 3 months ago
Holds LT Lip-Bu Tan
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 did not create the bottlenecks in software delivery; it threw gas on processes everybody already knew were weak.
Last stated 22 Mar 2026 · 6 months ago
Holds NF Nicole Forsgren
Same subject: LLMs
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Last stated 15 Jul 2026 · 2 months ago
Holds DH Dex Horthy
Same subject: LLMs
A child who has seen ten cats learns what a machine needs the whole internet of cat photos for, by a learning pathway nobody has solved.
Last stated 10 Aug 2026 · a month ago
Holds FL Fei-Fei Li
Same subject: LLMs
A frontier model is measurably more intelligent with no system prompt at all; the prompts that remain are there for the product, not the model.
Last stated 27 Jul 2026 · 2 months ago
Holds Boris Cherny
Same subject: measuring intelligence
Language models are already a form of AGI; what the labs are chasing is a further step, not the arrival of general intelligence.
Last stated 3 Feb 2025 · 2 years ago
Holds NL Nathan Lambert
Same subject: measuring intelligence
The LLM line of research will reach a capability plateau.
Last stated 7 Aug 2026 · a month ago
Holds GM Gary MarcusNo longer holds François Chollet
Same subject: measuring intelligence
The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly.
Last stated 20 Dec 2024 · 2 years ago
No longer holds François Chollet
Same subject: Google
LLMs can write a large fraction of the tedious code a developer will ever need to write, and most code on most projects is tedious.
Last stated 2 Jun 2025 · a year ago
Holds Thomas Ptacek
Same subject: Google
Once a language model reads the results, search can trade precision for recall, because the model does not care that the right link came ninth.
Last stated 19 Jun 2024 · 2 years ago
Holds AS Aravind Srinivas
Same subject: Google
Proprietary data is not an advantage in training large language models, because no company's holdings are large enough to matter.
Last stated 2 Sept 2025 · a year ago
Holds BE Benedict Evans