17 connected korrents · 20 moments on record from 28 Sept 2023 to 10 Sept 2026.
At the centre
Current AI absorbs exceptional living creators to birth ghostly geniuses that write code, drive cars, do work, and run the world.
Last stated 10 Sept 2026 · 2 days ago
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Naval Ravikant
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Similar wording
Intelligence is becoming a choice rather than a byproduct of daily work: there will still be smart people, but only those who choose to be.
Last stated 18 Nov 2025 · 10 months ago
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Paul GrahamSYScott H. Young
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Similar wording
An AI copy of a person is worth building while they are alive, to meet demand for their attention, not as a way to talk to the dead.
Last stated 28 Sept 2023 · 3 years ago
Holds MZMark Zuckerberg
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Similar wording
AI may eventually replace programmers, but the craft of programming will survive the way knitting did, and you were never just a programmer: you are a builder.
Last stated 12 Feb 2026 · 7 months ago
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Peter Steinberger
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Similar wording
AI models have reached the level of a junior engineer on longer-running, agent-based coding tasks.
Last stated 30 Jul 2026 · a month ago
Holds JDJeff Dean
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Similar wording
AI has moved the programmer's bottleneck from writing code to having good design ideas, and there is no verification loop for a design idea.
Last stated 7 Apr 2026 · 5 months ago
Holds MNMichael Nielsen
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Similar wording
Existing AI models were already more than good enough for writing code and do more than can be utilized from them.
Last stated 8 Sept 2026 · 4 days ago
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Gergely Orosz
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Similar wording
Humans will always have jobs keeping AI agents on track.
Last stated 7 Sept 2026 · 5 days ago
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Noah Smith
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Similar wording
AI will not replace the best programmers; it will make them ten times more productive than they are today.
Last stated 23 Jul 2025 · a year ago
Holds DHDemis Hassabis
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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 DHDex Horthy
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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 FLFei-Fei Li
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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
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Boris Cherny
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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 NLNathan Lambert
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Same subject: measuring intelligence
The LLM line of research will reach a capability plateau.
Last stated 7 Aug 2026 · a month ago
Holds GMGary MarcusNo longer holds
François Chollet
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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
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Same subject: neural networks
Large language models are grown rather than built, and nobody really knows how the resulting working AI functions.
Last stated 8 Sept 2026 · 4 days ago
Holds SAScott Alexander
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Same subject: neural networks
Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read.
Last stated 30 Jul 2025 · a year ago
No longer holds AGAlexey Guzey
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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
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Andrej Karpathy