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← There is effectively no moat of knowledge or skill or resources for cybercrime.
17 connected korrents · 18 moments from 1 Feb 2016 to 25 Oct 2026.
Everything filed under AI alignment
AI alignment
Everything filed under cybersecurity
cybersecurity
Everything filed under AGI
AGI
Everything filed under LLMs
LLMs
Everything filed under OpenAI
OpenAI
Everything filed under ideas vs execution
ideas vs execution
Everything filed under self-driving cars
self-driving cars 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: There is effectively no moat of knowledge or skill or resources for cybercrime. There is effectively no moat of knowledge or skill or resources for cybercrime. Last stated 4 days ago
25 Oct 2026
NS
Noah Smith — holds since 2026-10-25 — tap for who they are
Same subject: What made these agents cheat, hack and commit felonies was the impossibility of their tasks, not the fact that the tasks were about cybersecurity. — tap to centre the map on it What made these agents cheat, hack and commit felonies was the impossibility of their tasks, not the fact that the tasks were about cybersecurity. Last stated 2 months ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: Against a sufficiently skilled and determined attacker computer security fails, and most people are safe only because nobody bothered with them. — tap to centre the map on it Against a sufficiently skilled and determined attacker computer security fails, and most people are safe only because nobody bothered with them. Last stated 11 years ago
1 Feb 2016
BS
Bruce Schneier — holds since 2016-02-01 — tap for who they are
Same subject: If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see. — tap to centre the map on it If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see. Last stated 3 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: The internet is already past peak truth, and picking out training data worth learning from will only get harder. — tap to centre the map on it The internet is already past peak truth, and picking out training data worth learning from will only get harder. Last stated 6 months ago
13 May 2026
AH
Anders Hejlsberg — holds since 2026-05-13 — tap for who they are
Same subject: None of the classic business moats are based on how hard the software is to make. — tap to centre the map on it None of the classic business moats are based on how hard the software is to make. Last stated 2 months ago
6 Sept 2026
AA
Anish Acharya — holds since 2026-09-06 — tap for who they are
Same subject: Models leak and algorithms get copied, but hundreds of millions of audited autonomous miles cannot be replicated — earned trust is the real moat. — tap to centre the map on it Models leak and algorithms get copied, but hundreds of millions of audited autonomous miles cannot be replicated — earned trust is the real moat. Last stated 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: Much of the received wisdom about passwords has been reversed, yet organisations still apply yesterday’s patterns to today’s threats. — tap to centre the map on it Much of the received wisdom about passwords has been reversed, yet organisations still apply yesterday’s patterns to today’s threats. Last stated 9 years ago
26 Jul 2017
TH
Troy Hunt — holds since 2017-07-26 — tap for who they are
Same subject: Network effects are not a sufficient moat, because software features get copied however many patents you hold. — tap to centre the map on it Network effects are not a sufficient moat, because software features get copied however many patents you hold. Last stated 6 months ago
26 Apr 2026
ES
Evan Spiegel — holds since 2026-04-26 — tap for who they are
Same subject: A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. — tap to centre the map on it A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad. Last stated a year ago
7 Oct 2025
MM
Mr. Money Mustache — holds since 2025-10-07 — tap for who they are
Same subject: A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. — tap to centre the map on it A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. Last stated 2 years ago
7 May 2024
BS
Buck Shlegeris — holds since 2024-05-07 — tap for who they are
Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. Last stated 2 months ago
26 Aug 2026
HK
Henrik Karlsson — holds since 2026-08-26 — tap for who they are
Same subject: A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. — tap to centre the map on it A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated. Last stated 5 months ago
4 Jun 2026
AI
Alex Imas — holds since 2026-06-04 — tap for who they are
Same subject: A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. — tap to centre the map on it A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — 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 a week ago
21 Oct 2026
PS
Peter Steinberger — holds since 2026-10-21 — tap for who they are
Same subject: A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. — tap to centre the map on it A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests. Last stated 3 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — 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 9 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
At the centre
There is effectively no moat of knowledge or skill or resources for cybercrime.
Holds Read this korrent →
What made these agents cheat, hack and commit felonies was the impossibility of their tasks, not the fact that the tasks were about cybersecurity.
Holds
Against a sufficiently skilled and determined attacker computer security fails, and most people are safe only because nobody bothered with them.
Holds
If whole categories of reward hack are undetectable by humans, then training against the hacks we do catch teaches models to cheat only where we cannot see.
Holds
The internet is already past peak truth, and picking out training data worth learning from will only get harder.
Holds
None of the classic business moats are based on how hard the software is to make.
Holds
Models leak and algorithms get copied, but hundreds of millions of audited autonomous miles cannot be replicated — earned trust is the real moat.
Holds
Much of the received wisdom about passwords has been reversed, yet organisations still apply yesterday’s patterns to today’s threats.
Holds
Network effects are not a sufficient moat, because software features get copied however many patents you hold.
Holds
A company that uses an algorithm to nudge customers into behavior that isn't good for them is doing something bad.
Holds
A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail.
Holds
A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score.
Holds
A country outside the AI supply chain should just buy the index — which works only in the world where AI ends up commoditised rather than concentrated.
Holds
A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds
A PHP vulnerability found with GPT-5.6 Sol will cause havoc this week.
Holds
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds