17 connected korrents · 19 moments from 11 Oct 2018 to 17 Sept 2026.
At the centre
Don't be afraid of AI tools: as you start using them and build awareness of how they work, it is a lot easier to understand them, trust them and work better with them.
Last stated 2 Apr 2026 · 6 months ago
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Marvin Schwaibold
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Similar wording
Going back to your roots and using tools you know how to use to solve problems is not a bad thing, and AI tools should not be the only thing relied on to solve problems.
Last stated 2 Apr 2026 · 6 months ago
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Marvin Schwaibold
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Similar wording
Today's AI tools either solve a problem or fail at it, and are really bad at partial progress or at identifying which intermediate step to attack first.
Last stated 20 Mar 2026 · 7 months ago
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Terence Tao
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Similar wording
Some knowledge is needed to get over the obstacles AI tools run into.
Last stated 16 Jun 2026 · 4 months ago
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Brett Williams
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Similar wording
It is really important that people feel a little bit of warmth from AI tools, and they should not be super detached from them.
Last stated 8 Jul 2026 · 3 months ago
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Meaghan Choi
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Similar wording
Refusing to use or build AI tools will not stop AI development altogether, but it will slow it down, which is a good thing.
Last stated 16 Apr 2026 · 6 months ago
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Kyle Kingsbury
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Similar wording
Using an AI tool well is something you have to learn, exactly as it was with object orientation; a bad first impression proves nothing.
Last stated 7 Apr 2026 · 6 months ago
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Martin Fowler
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Similar wording
A company that adopts AI tools without changing its organisational design misses the biggest change under way.
Last stated 10 Sept 2026 · 4 weeks ago
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Elena Verna
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Similar wording
Whatever a designer's strengths, AI tools can be used; they are not just for people trying to ship high-quality front-end code to production.
Last stated 28 Apr 2026 · 5 months ago
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Polly D'Arcy
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Same subject: LLMs
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Last stated 1 Jan 2026 · 9 months ago
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Jason Lemkin
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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 · 3 months ago
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Dex Horthy
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Same subject: LLMs
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated 17 Sept 2026 · 3 weeks ago
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Patrick Collison
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Same subject: OpenAI
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Last stated 12 Feb 2026 · 8 months ago
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Andrej Karpathy
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Same subject: OpenAI
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Last stated 18 Mar 2024 · 3 years ago
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Sam Altman
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Same subject: OpenAI
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Last stated 21 Mar 2023 · 4 years ago
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Bryan Caplan
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Same subject: scaling laws
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Last stated 2 Feb 2025 · 2 years ago
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Ajeya Cotra
Scott Alexander
Miles Brundage
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Same subject: scaling laws
As models keep growing, AI is running out of enough high-quality unique training tokens to keep up.
Last stated 24 Jun 2026 · 3 months ago
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Lilian Weng
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Same subject: scaling laws
Current techniques restrict pre-trained representation power because standard language models are unidirectional.
Last stated 11 Oct 2018 · 8 years ago
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Kristina Toutanova
Ming-Wei Chang
Kenton Lee
Jacob Devlin