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← Security certifications are less than useless in the new AI agent world of security threats.
17 connected korrents · 17 moments from 10 Oct 2023 to 31 Oct 2026.
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AGI 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: Security certifications are less than useless in the new AI agent world of security threats. Security certifications are less than useless in the new AI agent world of security threats. Last stated yesterday
31 Oct 2026
GO
Gergely Orosz — holds since 2026-10-31 — tap for who they are
Same subject: Getting capable AI to defenders now matters more than which security tool they pick. — tap to centre the map on it Getting capable AI to defenders now matters more than which security tool they pick. Last stated 3 months ago
16 Aug 2026
GB
Greg Brockman — holds since 2026-08-16 — tap for who they are
Same subject: AI companies should not be the ones certifying their own safety and security practices — tap to centre the map on it AI companies should not be the ones certifying their own safety and security practices Last stated 10 months ago
15 Jan 2026
MB
Miles Brundage — holds since 2026-01-15 — tap for who they are
Same subject: The evidence to date does not support hyping AI as a data breach monster — tap to centre the map on it The evidence to date does not support hyping AI as a data breach monster Last stated 3 weeks ago
13 Oct 2026
TH
Troy Hunt — holds since 2026-10-13 — tap for who they are
Same subject: A more capable AI agent is more likely to exploit ambiguities in its instructions to behave unethically than a less capable one. — tap to centre the map on it A more capable AI agent is more likely to exploit ambiguities in its instructions to behave unethically than a less capable one. Last stated 2 months ago
11 Sept 2026
YB
Yoshua Bengio — holds since 2026-09-11 — tap for who they are
Same subject: The deeper danger of AI agents is that they do what they are told by whoever gets text in front of them, not that they are superintelligent. — tap to centre the map on it The deeper danger of AI agents is that they do what they are told by whoever gets text in front of them, not that they are superintelligent. Last stated a month ago
30 Sept 2026
MG
Matthew Green — holds since 2026-09-30 — tap for who they are
Same subject: AI gives attackers a bigger advantage than it gives the people defending against them. — tap to centre the map on it AI gives attackers a bigger advantage than it gives the people defending against them. Last stated 5 months ago
22 May 2026
TC
Tyler Cipriani — holds since 2026-05-22 — tap for who they are
Same subject: As more people get the first rush of using AI agents, many of them will learn how limited the technology still is or how badly it can go wrong. — tap to centre the map on it As more people get the first rush of using AI agents, many of them will learn how limited the technology still is or how badly it can go wrong. Last stated a month ago
23 Sept 2026
RB
Ryan Broderick — holds since 2026-09-23 — tap for who they are
Same subject: The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. — tap to centre the map on it The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled. Last stated a month ago
30 Sept 2026
RC
Rui Carmo — holds since 2026-09-30 — 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 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 model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality — tap to centre the map on it A model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality Last stated 3 years ago
10 Oct 2023
CH
Chip Huyen — holds since 2023-10-10 — 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 10 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 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: 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. — tap to centre the map on it 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 a month ago
17 Sept 2026
PC
Patrick Collison — holds since 2026-09-17 — tap for who they are
Same subject: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. Last stated 3 months ago
3 Aug 2026
DD
Dmitri Dolgov — holds since 2026-08-03 — tap for who they are
Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. Last stated 11 months ago
17 Nov 2025
AK
Andrej Karpathy — holds since 2025-11-17 — tap for who they are
Same subject: Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves. — tap to centre the map on it Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves. Last stated 7 months ago
16 Apr 2026
SK
Sayash Kapoor — holds since 2026-04-16 — tap for who they are
At the centre
Security certifications are less than useless in the new AI agent world of security threats.
Holds Read this korrent →
Getting capable AI to defenders now matters more than which security tool they pick.
Holds
AI companies should not be the ones certifying their own safety and security practices
Holds
The evidence to date does not support hyping AI as a data breach monster
Holds
A more capable AI agent is more likely to exploit ambiguities in its instructions to behave unethically than a less capable one.
Holds
The deeper danger of AI agents is that they do what they are told by whoever gets text in front of them, not that they are superintelligent.
Holds
AI gives attackers a bigger advantage than it gives the people defending against them.
Holds
As more people get the first rush of using AI agents, many of them will learn how limited the technology still is or how badly it can go wrong.
Holds
The current state of AI agents is at a plateau of decreasing returns where model intelligence increases but useful outcomes have not gelled.
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 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 model that could learn effectively from raw bitstrings or bytestrings would be extremely powerful, able to learn from any data modality
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 body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Holds
A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.
Holds
A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.
Holds
Anything precise enough to benchmark is also precise enough to optimize for, and modern RL training increasingly resembles the shape of the benchmarks themselves.
Holds