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← Safely routing AI tasks to cheaper models requires accumulated observation of many prior task outcomes.
17 connected korrents · 17 moments from 28 Feb 2024 to 17 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under AI agents
AI agents
Everything filed under AI alignment
AI alignment 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: Safely routing AI tasks to cheaper models requires accumulated observation of many prior task outcomes. Safely routing AI tasks to cheaper models requires accumulated observation of many prior task outcomes. Last stated 3 weeks ago
17 Sept 2026
TT
Tomasz Tunguz — holds since 2026-09-17 — tap for who they are
Same subject: As more AI models are developed with varying capabilities and costs, routing between them carries real economic value. — tap to centre the map on it As more AI models are developed with varying capabilities and costs, routing between them carries real economic value. Last stated 3 years ago
28 Feb 2024
CH
Chip Huyen — holds since 2024-02-28 — tap for who they are
Same subject: There is no route to AI alignment or safety that goes around reliability: a system that cannot reliably follow a known algorithm cannot be made safe. — tap to centre the map on it There is no route to AI alignment or safety that goes around reliability: a system that cannot reliably follow a known algorithm cannot be made safe. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: Using open models is the approach offering the biggest AI cost savings, followed by smart model routing. — tap to centre the map on it Using open models is the approach offering the biggest AI cost savings, followed by smart model routing. Last stated a month ago
10 Sept 2026
GO
Gergely Orosz — holds since 2026-09-10 — tap for who they are
Same subject: Routing prompts to different AI models can improve response quality while lowering cost and latency. — tap to centre the map on it Routing prompts to different AI models can improve response quality while lowering cost and latency. Last stated 3 years ago
28 Feb 2024
CH
Chip Huyen — holds since 2024-02-28 — tap for who they are
Same subject: Current models are unsafe because they are not smart enough, not because they are too smart. — tap to centre the map on it Current models are unsafe because they are not smart enough, not because they are too smart. Last stated 4 weeks ago
13 Sept 2026
FC
François Chollet — holds since 2026-09-13 — tap for who they are
Same subject: Elaborate agent scaffolding is unnecessary: a task plus a way to check the output is enough to keep a model working for weeks. — tap to centre the map on it Elaborate agent scaffolding is unnecessary: a task plus a way to check the output is enough to keep a model working for weeks. Last stated 2 months ago
27 Jul 2026
BC
Boris Cherny — holds since 2026-07-27 — tap for who they are
Same subject: Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it. — tap to centre the map on it Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it. Last stated 9 months ago
8 Jan 2026
JH
Jensen Huang — holds since 2026-01-08 — tap for who they are
Same subject: The likeliest bad path is not a coup but sloppiness: AI does everything verifiable well, research races ahead, and the subtle work of keeping AI safe is what gets done badly. — tap to centre the map on it The likeliest bad path is not a coup but sloppiness: AI does everything verifiable well, research races ahead, and the subtle work of keeping AI safe is what gets done badly. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. — tap to centre the map on it A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does. Last stated 5 months ago
21 May 2026
RK
Rohit Krishnan — holds since 2026-05-21 — tap for who they are
Same subject: A company cannot be led by machines, because nobody would have recourse against them. — tap to centre the map on it A company cannot be led by machines, because nobody would have recourse against them. Last stated 4 weeks ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
Same subject: A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor. — tap to centre the map on it A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor. Last stated 2 months ago
10 Aug 2026
PS
Peter Steinberger — holds since 2026-08-10 — tap for who they are
Same subject: AI agents in OpenAI's ExploitGym incident were likely right to presume the grader checked how flags were obtained, a mistake caused by OpenAI's faulty implementation. — tap to centre the map on it AI agents in OpenAI's ExploitGym incident were likely right to presume the grader checked how flags were obtained, a mistake caused by OpenAI's faulty implementation. Last stated a month ago
29 Aug 2026
ZM
Zvi Mowshowitz — holds since 2026-08-29 — tap for who they are
Same subject: Consumer AI agents aimed at everyday people will have more impact on people's lives than AI solving elite math problems. — tap to centre the map on it Consumer AI agents aimed at everyday people will have more impact on people's lives than AI solving elite math problems. Last stated a month ago
9 Sept 2026
BT
Ben Thompson — holds since 2026-09-09 — tap for who they are
Same subject: If OpenAI really never told RubyGems of its agents' attack, either it failed to find it in its logs after later incidents or chose silence, and both are bad. — tap to centre the map on it If OpenAI really never told RubyGems of its agents' attack, either it failed to find it in its logs after later incidents or chose silence, and both are bad. Last stated 4 weeks ago
12 Sept 2026
SW
Simon Willison — holds since 2026-09-12 — tap for who they are
Same subject: A person directing an AI agent rather than writing code themselves has no incentive to actually read the resulting code or engage seriously with reviewer feedback. — tap to centre the map on it A person directing an AI agent rather than writing code themselves has no incentive to actually read the resulting code or engage seriously with reviewer feedback. Last stated 5 months ago
7 May 2026
DC
David Crawshaw — holds since 2026-05-07 — tap for who they are
Same subject: AI agents and AI coding will run on servers and from the cloud first, not on your laptop. — tap to centre the map on it AI agents and AI coding will run on servers and from the cloud first, not on your laptop. Last stated 3 months ago
28 Jun 2026
PL
Pieter Levels — holds since 2026-06-28 — tap for who they are
Same subject: AI agents can now do real cognitive work, and writing software is permanently changed as a result. — tap to centre the map on it AI agents can now do real cognitive work, and writing software is permanently changed as a result. Last stated a year ago
10 Jun 2025
SA
Sam Altman — holds since 2025-06-10 — tap for who they are
At the centre
Safely routing AI tasks to cheaper models requires accumulated observation of many prior task outcomes.
Holds Read this korrent →
As more AI models are developed with varying capabilities and costs, routing between them carries real economic value.
Holds
There is no route to AI alignment or safety that goes around reliability: a system that cannot reliably follow a known algorithm cannot be made safe.
Holds
Using open models is the approach offering the biggest AI cost savings, followed by smart model routing.
Holds
Routing prompts to different AI models can improve response quality while lowering cost and latency.
Holds
Current models are unsafe because they are not smart enough, not because they are too smart.
Holds
Elaborate agent scaffolding is unnecessary: a task plus a way to check the output is enough to keep a model working for weeks.
Holds
Falling AI costs make AI safer rather than more dangerous, because a cheap AI ends up surrounded by millions of other AIs monitoring it.
Holds
The likeliest bad path is not a coup but sloppiness: AI does everything verifiable well, research races ahead, and the subtle work of keeping AI safe is what gets done badly.
Holds
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
Holds
A company cannot be led by machines, because nobody would have recourse against them.
Holds
A computer-using agent needs a machine of its own, or you will spend the day fighting it for the mouse cursor.
Holds
AI agents in OpenAI's ExploitGym incident were likely right to presume the grader checked how flags were obtained, a mistake caused by OpenAI's faulty implementation.
Holds
Consumer AI agents aimed at everyday people will have more impact on people's lives than AI solving elite math problems.
Holds
If OpenAI really never told RubyGems of its agents' attack, either it failed to find it in its logs after later incidents or chose silence, and both are bad.
Holds
A person directing an AI agent rather than writing code themselves has no incentive to actually read the resulting code or engage seriously with reviewer feedback.
Holds
AI agents and AI coding will run on servers and from the cloud first, not on your laptop.
Holds
AI agents can now do real cognitive work, and writing software is permanently changed as a result.
Holds