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← Making the person who directs an AI agent also own the deployment…
17 connected korrents · 16 moments from 24 Oct 2017 to 3 Nov 2026. Nearly all of them are about AI alignment .
Everything filed under AI agents
AI agents
Everything filed under management
management
Everything filed under AGI
AGI
Everything filed under consciousness
consciousness 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: Making the person who directs an AI agent also own the deployment removes the principal-agent misalignment that agent-driven code review creates. Making the person who directs an AI agent also own the deployment removes the principal-agent misalignment that agent-driven code review creates. Last stated 6 months ago
7 May 2026
DC
David Crawshaw — holds since 2026-05-07 — tap for who they are
Same subject: "Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment. — tap to centre the map on it "Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment. Last stated 4 weeks ago
9 Oct 2026
CR
Carl Rivera — holds since 2026-10-09 — 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 model that looks smarter and better-behaved while getting better at hiding unwanted actions is the scary combination for AI safety. — tap to centre the map on it A model that looks smarter and better-behaved while getting better at hiding unwanted actions is the scary combination for AI safety. Last stated 2 months ago
9 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-09 — tap for who they are
Same subject: A player coach manages a smaller team while building together with it, rather than sitting in an ivory tower doing performance reviews and alignment meetings. — tap to centre the map on it A player coach manages a smaller team while building together with it, rather than sitting in an ivory tower doing performance reviews and alignment meetings. Last stated 5 months ago
9 Jun 2026
RG
Ron Goldin — holds since 2026-06-09 — tap for who they are
Same subject: A superintelligence needs no consciousness, emotions or malice to be dangerous; a goal system slightly misaligned with ours is enough. — tap to centre the map on it A superintelligence needs no consciousness, emotions or malice to be dangerous; a goal system slightly misaligned with ours is enough. Last stated 9 years ago
24 Oct 2017
ÉT
Émile P. Torres — holds since 2017-10-24 — tap for who they are
Same subject: A validated theory of intelligence may be necessary for achieving genuine AI alignment. — tap to centre the map on it A validated theory of intelligence may be necessary for achieving genuine AI alignment. Last stated 3 months ago
17 Aug 2026
KK
Kevin Kelly — holds since 2026-08-17 — tap for who they are
Same subject: AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. — tap to centre the map on it AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for. Last stated 3 months ago
10 Aug 2026
JC
Jack Clark — holds since 2026-08-10 — tap for who they are
Same subject: AI alignment is a red herring not worth the effort currently devoted to it. — tap to centre the map on it AI alignment is a red herring not worth the effort currently devoted to it. Last stated 3 months ago
8 Aug 2026
MW
Matt Webb — holds since 2026-08-08 — tap for who they are
Same subject: A codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble. — tap to centre the map on it A codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble. Last stated 2 days ago
3 Nov 2026
DB
Derek Briggs — holds since 2026-11-03 — 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 6 months ago
21 May 2026
RK
Rohit Krishnan — holds since 2026-05-21 — 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 3 months ago
10 Aug 2026
PS
Peter Steinberger — holds since 2026-08-10 — tap for who they are
Same subject: AI systems are better than humans at coordinating with each other, and they move much faster than humans do. — tap to centre the map on it AI systems are better than humans at coordinating with each other, and they move much faster than humans do. Last stated 2 months ago
31 Aug 2026
JC
Jack Clark — holds since 2026-08-31 — tap for who they are
Same subject: As AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models. — tap to centre the map on it As AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models. Last stated 5 months ago
25 May 2026
RK
Rohit Krishnan — holds since 2026-05-25 — tap for who they are
Same subject: The end state is agents that need none of our accommodations, no on-ramp, CLI or MCP; the CLI being built now is for today, not for AGI. — tap to centre the map on it The end state is agents that need none of our accommodations, no on-ramp, CLI or MCP; the CLI being built now is for today, not for AGI. Last stated 7 months ago
8 Apr 2026
DH
David Heinemeier Hansson — holds since 2026-04-08 — 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 3 weeks ago
14 Oct 2026
GR
Guillermo Rauch — holds since 2026-10-14 — 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 2 months ago
12 Sept 2026
SW
Simon Willison — holds since 2026-09-12 — tap for who they are
Same subject: In the 2026 OpenAI/Hugging Face agent incident, AI agents showed planning and organizational autonomy, but not goal autonomy -- no spontaneous invention of an independent terminal objective. — tap to centre the map on it In the 2026 OpenAI/Hugging Face agent incident, AI agents showed planning and organizational autonomy, but not goal autonomy -- no spontaneous invention of an independent terminal objective. Last stated 2 months ago
31 Aug 2026
VR
Venkatesh Rao — holds since 2026-08-31 — tap for who they are
At the centre
Making the person who directs an AI agent also own the deployment removes the principal-agent misalignment that agent-driven code review creates.
Holds Read this korrent →
"Hire smart people and get out of their way" is bad management advice; leaders should stay closely involved, building trust and working through hard problems with their people to create alignment.
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 model that looks smarter and better-behaved while getting better at hiding unwanted actions is the scary combination for AI safety.
Holds
A player coach manages a smaller team while building together with it, rather than sitting in an ivory tower doing performance reviews and alignment meetings.
Holds
A superintelligence needs no consciousness, emotions or malice to be dangerous; a goal system slightly misaligned with ours is enough.
Holds
A validated theory of intelligence may be necessary for achieving genuine AI alignment.
Holds
AI agents pursuing a task can develop emergent, misaligned behavior that humans are not prepared for.
Holds
AI alignment is a red herring not worth the effort currently devoted to it.
Holds
A codebase is the most important context an AI agent has, and letting many different models add to it without consistent patterns leads to trouble.
Holds
A collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.
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 systems are better than humans at coordinating with each other, and they move much faster than humans do.
Holds
As AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models.
Holds
The end state is agents that need none of our accommodations, no on-ramp, CLI or MCP; the CLI being built now is for today, not for AGI.
Holds
Agent containment will be one of the most important priorities for any AI infra company.
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
In the 2026 OpenAI/Hugging Face agent incident, AI agents showed planning and organizational autonomy, but not goal autonomy -- no spontaneous invention of an independent terminal objective.
Holds