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← A future where agents run and improve an organisation is impossible…
17 connected korrents · 14 moments on record from 16 Oct 2025 to 3 Sept 2026.
Everything filed under coding agents
coding agents
Everything filed under AI agents
AI agents
Everything filed under Anthropic
Anthropic
Everything filed under self-sovereign AI
self-sovereign AI
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: A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves.
A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves.
Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: You have to keep enough understanding of how a system works to fix it yourself, because the alternative is hoping and praying the agent can figure it out. — tap to centre the map on it
You have to keep enough understanding of how a system works to fix it yourself, because the alternative is hoping and praying the agent can figure it out.
Last stated 3 weeks ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once. — tap to centre the map on it
Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once.
Last stated 11 months ago
17 Oct 2025
AK
Andrej Karpathy — holds since 2025-10-17 — tap for who they are
Same subject: Agents can already be run for days or weeks on a single hard problem, and almost nobody has internalised that. — tap to centre the map on it
Agents can already be run for days or weeks on a single hard problem, and almost nobody has internalised that.
Last stated a month ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet. — tap to centre the map on it
Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet.
Last stated 7 months ago
12 Feb 2026
PS
Peter Steinberger — holds since 2026-02-12 — tap for who they are
Same subject: The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic. — tap to centre the map on it
The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic.
Last stated 2 weeks ago
25 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-25 — tap for who they are
Same subject: The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. — tap to centre the map on it
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: AI should be built as a tool that strengthens human agency, and the people leading the field should stop talking as though it will take agency away. — tap to centre the map on it
AI should be built as a tool that strengthens human agency, and the people leading the field should stop talking as though it will take agency away.
Last stated 4 weeks ago
10 Aug 2026
FL
Fei-Fei Li — holds since 2026-08-10 — tap for who they are
Same subject: Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals. — tap to centre the map on it
Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals.
Last stated a week ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down. — tap to centre the map on it
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Last stated 5 months ago
25 Mar 2026
MZ
Mario Zechner — holds since 2026-03-25 — tap for who they are
Same subject: A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. — tap to centre the map on it
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
Last stated 5 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable. — tap to centre the map on it
A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable.
Last stated 4 weeks ago
14 Aug 2026
SP
Sunil Pai — holds since 2026-08-14 — 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 5 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces. — tap to centre the map on it
A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces.
Last stated 6 days ago
2 Sept 2026
SW
Simon Willison — holds since 2026-09-02 — tap for who they are
Same subject: A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares. — tap to centre the map on it
A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares.
Last stated 4 months ago
10 May 2026
ER
Eric Ries — holds since 2026-05-10 — tap for who they are
Same subject: A rogue deployment that gets a foothold can hitch a ride on the intelligence explosion, recruiting each new model as it comes off the presses. — tap to centre the map on it
A rogue deployment that gets a foothold can hitch a ride on the intelligence explosion, recruiting each new model as it comes off the presses.
Last stated a week ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself. — tap to centre the map on it
A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself.
Last stated a week ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: If frontier agents cannot yet establish a covert, persistent rogue deployment, they very likely will be able to within six months. — tap to centre the map on it
If frontier agents cannot yet establish a covert, persistent rogue deployment, they very likely will be able to within six months.
Last stated a week ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone on record holding the claim — tap it for who they are
At the centre
A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves.
Last stated 22 Mar 2026 · 6 months ago
Holds NF Nicole Forsgren
Read this korrent →
Similar wording
You have to keep enough understanding of how a system works to fix it yourself, because the alternative is hoping and praying the agent can figure it out.
Last stated 19 Aug 2026 · 3 weeks ago
Holds AO Addy Osmani
Similar wording
Agents will take a decade rather than a year, because today's models are cognitively lacking in too many independent ways at once.
Last stated 17 Oct 2025 · 11 months ago
Holds Andrej Karpathy
Similar wording
Agents can already be run for days or weeks on a single hard problem, and almost nobody has internalised that.
Last stated 30 Jul 2026 · a month ago
Holds JD Jeff Dean
Similar wording
Society has catching up to do: AI is incredibly powerful and not always right, and people who argue 'but my agent said so' have not learned that yet.
Last stated 12 Feb 2026 · 7 months ago
Holds Peter Steinberger
Similar wording
The current pace of AI-driven work is not sustainable, and agents gaining autonomy should eventually make work calmer, not more frantic.
Last stated 25 Aug 2026 · 2 weeks ago
Holds David Heinemeier Hansson
Similar wording
The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better.
Last stated 16 Oct 2025 · 11 months ago
Holds DF Dylan Field
Similar wording
AI should be built as a tool that strengthens human agency, and the people leading the field should stop talking as though it will take agency away.
Last stated 10 Aug 2026 · 4 weeks ago
Holds FL Fei-Fei Li
Similar wording
Daniel Dennett's intentional stance applies to AI agents as clearly as it applies to corporations, and you cannot usefully describe what they do without the language of goals.
Last stated 1 Sept 2026 · a week ago
Holds AC Ajeya Cotra
Same subject: coding agents
A coding agent does not learn from its mistakes the way a person does -- it repeats the same error indefinitely unless a human notices and writes it down.
Last stated 25 Mar 2026 · 5 months ago
Holds Mario Zechner
Same subject: coding agents
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
Last stated 3 Sept 2026 · 5 days ago
Holds Dax Raad
Same subject: coding agents
A machine can complete the task and completely miss the job -- coding makes this easy to see precisely because its tasks are so legible and verifiable.
Last stated 14 Aug 2026 · 4 weeks ago
Holds Sunil Pai
Same subject: Anthropic
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 3 Sept 2026 · 5 days ago
Holds Dax Raad
Same subject: Anthropic
A language model asked to summarize its own system prompt risks that prompt's content biasing the summary it produces.
Last stated 2 Sept 2026 · 6 days ago
Holds Simon Willison
Same subject: Anthropic
A trust that owns the mission protects a company better than founder control does, which is why Anthropic needs no dual-class shares.
Last stated 10 May 2026 · 4 months ago
Holds ER Eric Ries
Same subject: self-sovereign AI
A rogue deployment that gets a foothold can hitch a ride on the intelligence explosion, recruiting each new model as it comes off the presses.
Last stated 1 Sept 2026 · a week ago
Holds AC Ajeya Cotra
Same subject: self-sovereign AI
A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself.
Last stated 1 Sept 2026 · a week ago
Holds AC Ajeya Cotra
Same subject: self-sovereign AI
If frontier agents cannot yet establish a covert, persistent rogue deployment, they very likely will be able to within six months.
Last stated 1 Sept 2026 · a week ago
Holds AC Ajeya Cotra