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← Much of the defensive engineering built into agentic systems exists…
17 connected korrents · 14 moments from 21 Mar 2023 to 23 Sept 2026.
Everything filed under AI agents
AI agents
Everything filed under LLMs
LLMs
Everything filed under code generation
code generation
Everything filed under data centers
data centers
Everything filed under scaling laws
scaling laws
Everything filed under design
design 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: Much of the defensive engineering built into agentic systems exists because tokens have been scarce, not because it is fundamentally necessary. Much of the defensive engineering built into agentic systems exists because tokens have been scarce, not because it is fundamentally necessary. Last stated a week ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: The case for sweating every line of code was premised on humans doing the modifications, and it now survives only because tokens are scarce. — tap to centre the map on it The case for sweating every line of code was premised on humans doing the modifications, and it now survives only because tokens are scarce. Last stated a month ago
26 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-26 — tap for who they are
Same subject: Hundreds of billions of dollars of AI value rest on about a billion dollars of lithography tooling that cannot be scaled quickly. — tap to centre the map on it Hundreds of billions of dollars of AI value rest on about a billion dollars of lithography tooling that cannot be scaled quickly. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: The ability to build AI agents that counter high-friction systems should be made open and accessible to everyone, not just those with technical privilege. — tap to centre the map on it The ability to build AI agents that counter high-friction systems should be made open and accessible to everyone, not just those with technical privilege. Last stated 2 weeks ago
17 Sept 2026
HM
Hilary Mason — holds since 2026-09-17 — tap for who they are
Same subject: Making a product work for agents is probably largely a matter of building the right primitives into it, almost as an infrastructural layer. — tap to centre the map on it Making a product work for agents is probably largely a matter of building the right primitives into it, almost as an infrastructural layer. Last stated 3 weeks ago
10 Sept 2026
MK
Mike Krieger — holds since 2026-09-10 — tap for who they are
Same subject: An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. — tap to centre the map on it An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: Every abstraction in agentic programming — RAG, memory, agentic history, structured output — is just a different way of passing tokens into a model, and understanding that beats learning any of them. — tap to centre the map on it Every abstraction in agentic programming — RAG, memory, agentic history, structured output — is just a different way of passing tokens into a model, and understanding that beats learning any of them. Last stated 3 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles. — tap to centre the map on it Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Systems thinking and user empathy in agent design are the old product principles in disguise. — tap to centre the map on it Systems thinking and user empathy in agent design are the old product principles in disguise. Last stated 3 weeks ago
10 Sept 2026
NY
Nan Yu — holds since 2026-09-10 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 9 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — 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 3 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 2 months ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. — tap to centre the map on it A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. Last stated a week ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. — tap to centre the map on it AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. Last stated 3 weeks ago
10 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-10 — tap for who they are
Same subject: AI misalignment from reward hacking is sequestered to graded tasks and does not affect core ethics in normal use. — tap to centre the map on it AI misalignment from reward hacking is sequestered to graded tasks and does not affect core ethics in normal use. Last stated a week ago
23 Sept 2026
SA
Scott Alexander — holds since 2026-09-23 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 8 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
At the centre
Much of the defensive engineering built into agentic systems exists because tokens have been scarce, not because it is fundamentally necessary.
Holds Read this korrent →
The case for sweating every line of code was premised on humans doing the modifications, and it now survives only because tokens are scarce.
Holds
Hundreds of billions of dollars of AI value rest on about a billion dollars of lithography tooling that cannot be scaled quickly.
Holds
The ability to build AI agents that counter high-friction systems should be made open and accessible to everyone, not just those with technical privilege.
Holds
Making a product work for agents is probably largely a matter of building the right primitives into it, almost as an infrastructural layer.
Holds
An agent will reach for purpose-built tools rather than a raw computer, because tools are more token-efficient.
Holds
Every abstraction in agentic programming — RAG, memory, agentic history, structured output — is just a different way of passing tokens into a model, and understanding that beats learning any of them.
Holds
Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles.
Holds
Systems thinking and user empathy in agent design are the old product principles in disguise.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
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.
Holds
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.
Holds
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Holds
AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation.
Holds
AI misalignment from reward hacking is sequestered to graded tasks and does not affect core ethics in normal use.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
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.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds