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← Task-switching destroys memory by chopping an experience into…
17 connected korrents · 14 moments on record from 24 Oct 2017 to 2 Sept 2026.
Everything filed under AI agents
AI agents
Everything filed under AI alignment
AI alignment
Everything filed under self-sovereign AI
self-sovereign AI
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energy
Everything filed under AI and human skill
AI and human skill 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: Task-switching destroys memory by chopping an experience into artificial event boundaries, so you spend the whole session catching up instead of building a model. Task-switching destroys memory by chopping an experience into artificial event boundaries, so you spend the whole session catching up instead of building a model. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: Switching between tasks carries a real and measurable cost, and switching well is a trainable skill rather than a fixed property of a brain. — tap to centre the map on it Switching between tasks carries a real and measurable cost, and switching well is a trainable skill rather than a fixed property of a brain. Last stated 3 weeks ago
17 Aug 2026
RA
Ralph Adolphs — holds since 2026-08-17 — tap for who they are
Same subject: Your calendar records what you thought you were going to do; only a log of every task switch records what you actually did. — tap to centre the map on it Your calendar records what you thought you were going to do; only a log of every task switch records what you actually did. Last stated a year ago
23 Mar 2025
RV
Rahul Vohra — holds since 2025-03-23 — tap for who they are
Same subject: The scarce skill is now context switching across parallel agents, not sustained deep work. — tap to centre the map on it The scarce skill is now context switching across parallel agents, not sustained deep work. Last stated 6 months ago
4 Mar 2026
BC
Boris Cherny — holds since 2026-03-04 — tap for who they are
Same subject: Relying on gradual, continuous shifts in AI training behavior to catch misalignment will eventually fail because the dangerous shift itself may be discontinuous. — tap to centre the map on it Relying on gradual, continuous shifts in AI training behavior to catch misalignment will eventually fail because the dangerous shift itself may be discontinuous. Last stated 6 days ago
2 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-02 — tap for who they are
Same subject: Having both episodic and semantic memory is what lets a mind change on a dime without erasing what it already learned, and it is why humans can learn from so little data. — tap to centre the map on it Having both episodic and semantic memory is what lets a mind change on a dime without erasing what it already learned, and it is why humans can learn from so little data. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: Agency and clock speed beat domain experience in a hire, and in a fast-moving field experience is often a crutch of habits that need discarding. — tap to centre the map on it Agency and clock speed beat domain experience in a hire, and in a fast-moving field experience is often a crutch of habits that need discarding. Last stated 11 months ago
5 Oct 2025
AC
Albert Cheng — holds since 2025-10-05 — tap for who they are
Same subject: Heavy AI use erodes understanding first and judgement second: cognitive debt turns into cognitive surrender, where the model's answer simply becomes your answer. — tap to centre the map on it Heavy AI use erodes understanding first and judgement second: cognitive debt turns into cognitive surrender, where the model's answer simply becomes your answer. Last stated 3 weeks ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore. — tap to centre the map on it Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore. Last stated 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A handful of AI agents is not a handful of colleagues, because agents agree with you constantly and colleagues tell you where you are wrong. — tap to centre the map on it A handful of AI agents is not a handful of colleagues, because agents agree with you constantly and colleagues tell you where you are wrong. Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. — tap to centre the map on it After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: Agent autonomy is a capability, not a product direction: what the person is actually trying to do decides whether more of it helps or ruins the thing. — tap to centre the map on it Agent autonomy is a capability, not a product direction: what the person is actually trying to do decides whether more of it helps or ruins the thing. Last stated 4 weeks ago
14 Aug 2026
SP
Sunil Pai — holds since 2026-08-14 — 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 9 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A saboteur among our AI investigators would be hard to spot, because these models are sloppy and spiky enough that a suspicious error just looks like ordinary incompetence. — tap to centre the map on it A saboteur among our AI investigators would be hard to spot, because these models are sloppy and spiky enough that a suspicious error just looks like ordinary incompetence. Last stated a week ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — 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 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: Alignment is no solution to self-sovereign AI, because it is an unsolved problem whose answers cannot be imposed on every AI company on Earth. — tap to centre the map on it Alignment is no solution to self-sovereign AI, because it is an unsolved problem whose answers cannot be imposed on every AI company on Earth. Last stated a week ago
1 Sept 2026
DB
Dean W. Ball — holds since 2026-09-01 — tap for who they are
At the centre
Task-switching destroys memory by chopping an experience into artificial event boundaries, so you spend the whole session catching up instead of building a model.
Holds CR Charan RanganathRead this korrent →
Switching between tasks carries a real and measurable cost, and switching well is a trainable skill rather than a fixed property of a brain.
Holds RA Ralph Adolphs
Your calendar records what you thought you were going to do; only a log of every task switch records what you actually did.
Holds RV Rahul Vohra
The scarce skill is now context switching across parallel agents, not sustained deep work.
Holds
Relying on gradual, continuous shifts in AI training behavior to catch misalignment will eventually fail because the dangerous shift itself may be discontinuous.
Holds ZM Zvi Mowshowitz
Having both episodic and semantic memory is what lets a mind change on a dime without erasing what it already learned, and it is why humans can learn from so little data.
Holds CR Charan Ranganath
Agency and clock speed beat domain experience in a hire, and in a fast-moving field experience is often a crutch of habits that need discarding.
Holds AC Albert Cheng
Heavy AI use erodes understanding first and judgement second: cognitive debt turns into cognitive surrender, where the model's answer simply becomes your answer.
Holds AO Addy Osmani
Context has two budgets, not one: the information budget everyone thinks about, and an instruction budget, where conflicting instructions cost the model real computation to ignore.
Holds DH Dex Horthy
A handful of AI agents is not a handful of colleagues, because agents agree with you constantly and colleagues tell you where you are wrong.
Holds NF Nicole Forsgren
After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.
Holds JH Jensen Huang
Agent autonomy is a capability, not a product direction: what the person is actually trying to do decides whether more of it helps or ruins the thing.
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 IS Ilya Sutskever
A saboteur among our AI investigators would be hard to spot, because these models are sloppy and spiky enough that a suspicious error just looks like ordinary incompetence.
Holds AC Ajeya Cotra
A superintelligence needs no consciousness, emotions or malice to be dangerous; a goal system slightly misaligned with ours is enough.
Holds ÉT Émile P. Torres
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.
Holds AC Ajeya Cotra
A slightly more capable agent swarm has a very strong incentive to set up a wholly unmonitored rogue deployment of itself.
Holds AC Ajeya Cotra
Alignment is no solution to self-sovereign AI, because it is an unsolved problem whose answers cannot be imposed on every AI company on Earth.
Holds