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← Continual learning will create a clear moat for leading AI labs.
17 connected korrents · 16 moments from 12 Feb 2024 to 21 Oct 2026.
Everything filed under OpenAI
OpenAI
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scaling laws
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social media 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: Continual learning will create a clear moat for leading AI labs. Continual learning will create a clear moat for leading AI labs. Last stated 3 months ago
7 Aug 2026
DP
Dwarkesh Patel — holds since 2026-08-07 — tap for who they are
Same subject: The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself. — tap to centre the map on it The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself. Last stated 7 months ago
20 Mar 2026
AK
Arvid Kahl — holds since 2026-03-20 — tap for who they are
Same subject: Deep, relationship-based customer moats remain something AI coding tools cannot replicate for a competitor. — tap to centre the map on it Deep, relationship-based customer moats remain something AI coding tools cannot replicate for a competitor. Last stated 7 months ago
3 Apr 2026
AK
Arvid Kahl — holds since 2026-04-03 — tap for who they are
Same subject: Some software moats will remain like social media and ecommerce, but they will be used by AI to build personal software — tap to centre the map on it Some software moats will remain like social media and ecommerce, but they will be used by AI to build personal software Last stated 2 weeks ago
11 Oct 2026
PL
Pieter Levels — holds since 2026-10-11 — tap for who they are
Same subject: Leading AI labs disclosing less about their models' architecture and training data is slowing progress in AI development. — tap to centre the map on it Leading AI labs disclosing less about their models' architecture and training data is slowing progress in AI development. Last stated 3 years ago
12 Feb 2024
SR
Sebastian Ruder — holds since 2024-02-12 — tap for who they are
Same subject: AI regulation only avoids handing incumbents a moat if it is one national framework that is equally clear and easy for companies of every size. — tap to centre the map on it AI regulation only avoids handing incumbents a moat if it is one national framework that is equally clear and easy for companies of every size. Last stated 2 months ago
18 Aug 2026
MK
Michael Kratsios — holds since 2026-08-18 — tap for who they are
Same subject: In AI coding products, brand and moats matter less than continued innovation: stop innovating on the product and you lose. — tap to centre the map on it In AI coding products, brand and moats matter less than continued innovation: stop innovating on the product and you lose. Last stated 2 years ago
6 Oct 2024
MT
Michael Truell — holds since 2024-10-06 — tap for who they are
Same subject: Product quality and software engineering ability no longer function as a competitive moat because AI can replicate them quickly. — tap to centre the map on it Product quality and software engineering ability no longer function as a competitive moat because AI can replicate them quickly. Last stated 7 months ago
3 Apr 2026
AK
Arvid Kahl — holds since 2026-04-03 — tap for who they are
Same subject: Real-world, human-generated data is becoming the only durable moat for software businesses over the next decade. — tap to centre the map on it Real-world, human-generated data is becoming the only durable moat for software businesses over the next decade. Last stated 7 months ago
13 Mar 2026
AK
Arvid Kahl — holds since 2026-03-13 — tap for who they are
Same subject: A founder should take half the valuation if it buys all of the control, because the right to be wrong in your own way is what founding was for. — tap to centre the map on it A founder should take half the valuation if it buys all of the control, because the right to be wrong in your own way is what founding was for. Last stated 5 months ago
2 Jun 2026
MP
Mark Pincus — holds since 2026-06-02 — tap for who they are
Same subject: AI factories and foundries are too capital-intensive for venture money; they need government or sovereign funds behind them. — tap to centre the map on it AI factories and foundries are too capital-intensive for venture money; they need government or sovereign funds behind them. Last stated 4 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: Being formidable means getting what you want in any situation, and that is exactly why investors want it: a formidable founder's interests and theirs are the same. — tap to centre the map on it Being formidable means getting what you want in any situation, and that is exactly why investors want it: a formidable founder's interests and theirs are the same. Last stated 2 months ago
3 Sept 2026
PG
Paul Graham — holds since 2026-09-03 — 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 3 days ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. — tap to centre the map on it Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: Agent containment will be one of the most important priorities for any AI infra company. — tap to centre the map on it Agent containment will be one of the most important priorities for any AI infra company. Last stated a week ago
14 Oct 2026
GR
Guillermo Rauch — holds since 2026-10-14 — 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 lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
At the centre
Continual learning will create a clear moat for leading AI labs.
Holds Read this korrent →
The durable competitive moat in an AI-driven business is proprietary human-originated data, not the AI itself.
Holds
Deep, relationship-based customer moats remain something AI coding tools cannot replicate for a competitor.
Holds
Some software moats will remain like social media and ecommerce, but they will be used by AI to build personal software
Holds
Leading AI labs disclosing less about their models' architecture and training data is slowing progress in AI development.
Holds
AI regulation only avoids handing incumbents a moat if it is one national framework that is equally clear and easy for companies of every size.
Holds
In AI coding products, brand and moats matter less than continued innovation: stop innovating on the product and you lose.
Holds
Product quality and software engineering ability no longer function as a competitive moat because AI can replicate them quickly.
Holds
Real-world, human-generated data is becoming the only durable moat for software businesses over the next decade.
Holds
A founder should take half the valuation if it buys all of the control, because the right to be wrong in your own way is what founding was for.
Holds
AI factories and foundries are too capital-intensive for venture money; they need government or sovereign funds behind them.
Holds
Being formidable means getting what you want in any situation, and that is exactly why investors want it: a formidable founder's interests and theirs are the same.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
Advertising was a necessary phase for the internet but a momentary industry, and an AI people pay for is better because they know the answers are not influenced by advertisers.
Holds
Agent containment will be one of the most important priorities for any AI infra company.
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 lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds