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← Because of hallucination risk, you should use AI first on topics you already understand
17 connected korrents · 17 moments from 9 Nov 2023 to 14 Oct 2026.
Everything filed under LLMs
LLMs
Everything filed under AI alignment
AI alignment
Everything filed under OpenAI
OpenAI
Everything filed under scaling laws
scaling laws
Everything filed under Anthropic
Anthropic
Everything filed under privacy
privacy Cannot both be true 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: Because of hallucination risk, you should use AI first on topics you already understand Because of hallucination risk, you should use AI first on topics you already understand Last stated a year ago
23 Jun 2025
EM
Ethan Mollick — holds since 2025-06-23 — tap for who they are
Cannot both be true: Because an individual is an expert in at most one thing, an LLM's broad shallow expertise lets them do things they could not do before, whereas an organisation only gets better at what it already did. — tap to centre the map on it Because an individual is an expert in at most one thing, an LLM's broad shallow expertise lets them do things they could not do before, whereas an organisation only gets better at what it already did. Last stated 2 years ago
7 Apr 2025
AK
Andrej Karpathy — holds since 2025-04-07 — tap for who they are
Same subject: More informed AI insiders often come down with AI psychosis, so one should be very, very careful when speaking with them. — tap to centre the map on it More informed AI insiders often come down with AI psychosis, so one should be very, very careful when speaking with them. Last stated 2 months ago
31 Aug 2026
TC
Tyler Cowen — holds since 2026-08-31 — tap for who they are
Same subject: Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time. — tap to centre the map on it Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time. Last stated 2 months ago
2 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-02 — tap for who they are
Same subject: Language models hallucinate exactly when you least want them to: on important, difficult questions they are at their most confidently wrong. — tap to centre the map on it Language models hallucinate exactly when you least want them to: on important, difficult questions they are at their most confidently wrong. Last stated 3 years ago
9 Nov 2023
EM
Elon Musk — holds since 2023-11-09 — tap for who they are
Same subject: AI should be used as much as possible for writing as reporting, but should not replace writing as thinking. — tap to centre the map on it AI should be used as much as possible for writing as reporting, but should not replace writing as thinking. Last stated 2 months ago
30 Aug 2026
TS
Tara Seshan — holds since 2026-08-30 — tap for who they are
Same subject: Rather than having AI just do the task, people should use it to help build the right mental models. — tap to centre the map on it Rather than having AI just do the task, people should use it to help build the right mental models. Last stated 7 months ago
25 Mar 2026
FG
Flora Guo — holds since 2026-03-25 — tap for who they are
Same subject: For a company embedding AI in its products, the bigger risk to manage is a privacy or security breach, not the AI being wrong. — tap to centre the map on it For a company embedding AI in its products, the bigger risk to manage is a privacy or security breach, not the AI being wrong. Last stated 4 weeks ago
21 Sept 2026
HD
Horace Dediu — holds since 2026-09-21 — tap for who they are
Same subject: If AI is risky like fire, everyone should have it; if it is risky like a nuclear weapon, no one should. — tap to centre the map on it If AI is risky like fire, everyone should have it; if it is risky like a nuclear weapon, no one should. Last stated a month ago
16 Sept 2026
NR
Naval Ravikant — holds since 2026-09-16 — tap for who they are
Same subject: AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action. — tap to centre the map on it AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action. Last stated a year ago
25 Sept 2025
MB
Miles Brundage — holds since 2025-09-25 — 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: 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 6 days 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
Same subject: "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. — tap to centre the map on it "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
At the centre
Because of hallucination risk, you should use AI first on topics you already understand
Holds Read this korrent →
Because an individual is an expert in at most one thing, an LLM's broad shallow expertise lets them do things they could not do before, whereas an organisation only gets better at what it already did.
Holds
More informed AI insiders often come down with AI psychosis, so one should be very, very careful when speaking with them.
Holds
Relying on AI misbehavior appearing gradually during training to catch misalignment may fail at exactly the most dangerous time.
Holds
Language models hallucinate exactly when you least want them to: on important, difficult questions they are at their most confidently wrong.
Holds
AI should be used as much as possible for writing as reporting, but should not replace writing as thinking.
Holds
Rather than having AI just do the task, people should use it to help build the right mental models.
Holds
For a company embedding AI in its products, the bigger risk to manage is a privacy or security breach, not the AI being wrong.
Holds
If AI is risky like fire, everyone should have it; if it is risky like a nuclear weapon, no one should.
Holds
AI capabilities will keep advancing rapidly, creating serious risks by default that can still be mitigated through deliberate foresight and action.
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
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
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds