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← Having both episodic and semantic memory is what lets a mind change on…
17 connected korrents · 14 moments on record from 18 Mar 2024 to 3 Sept 2026.
Everything filed under LLMs
LLMs
Everything filed under OpenAI
OpenAI
Everything filed under HuggingFace
HuggingFace 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: 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. 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: Memory does not simply decline with age — an older brain's job changes to passing on accumulated knowledge rather than forming new episodic memories. — tap to centre the map on it Memory does not simply decline with age — an older brain's job changes to passing on accumulated knowledge rather than forming new episodic memories. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: The brain does not record experience continuously; it lays down an episodic memory at moments of surprise, uncertainty and prediction error, because that is where the useful information is. — tap to centre the map on it The brain does not record experience continuously; it lays down an episodic memory at moments of surprise, uncertainty and prediction error, because that is where the useful information is. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: The point of a good memory is not to remember more but to remember better, because forgetting most of what you experience is what human brains are built to do. — tap to centre the map on it The point of a good memory is not to remember more but to remember better, because forgetting most of what you experience is what human brains are built to do. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: Spaced recall works by stripping a memory of the time and place it happened, which is why the memories you revisit most feel like facts you read rather than things you lived. — tap to centre the map on it Spaced recall works by stripping a memory of the time and place it happened, which is why the memories you revisit most feel like facts you read rather than things you lived. Last stated 2 years ago
25 May 2024
CR
Charan Ranganath — holds since 2024-05-25 — tap for who they are
Same subject: Seeing something many times does not put it into memory: familiarity with a thing and knowledge of it are different, and people confuse the two constantly. — tap to centre the map on it Seeing something many times does not put it into memory: familiarity with a thing and knowledge of it are different, and people confuse the two constantly. Last stated 2 months ago
13 Jul 2026
AC
Alan Castel — holds since 2026-07-13 — tap for who they are
Same subject: Every abstraction in agentic programming — RAG, memory, agentic history, structured output — is just a different way of passing tokens into a model, and understanding that beats learning any of them. — tap to centre the map on it Every abstraction in agentic programming — RAG, memory, agentic history, structured output — is just a different way of passing tokens into a model, and understanding that beats learning any of them. Last stated 2 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly. — tap to centre the map on it The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly. Last stated 2 years ago
20 Dec 2024
FC
François Chollet — holds since 2024-12-20 — tap for who they are
FC
François Chollet — no longer holds since 2024-12-20 — tap for who they are
Same subject: The advantage of digital minds may be the opposite of pooling knowledge: deliberately giving agents different contexts, which is a control humans do not have over themselves. — tap to centre the map on it The advantage of digital minds may be the opposite of pooling knowledge: deliberately giving agents different contexts, which is a control humans do not have over themselves. Last stated 2 months ago
30 Jun 2026
GS
Grant Sanderson — holds since 2026-06-30 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A language model is not using language at all, because language requires an intention to communicate. — tap to centre the map on it A language model is not using language at all, because language requires an intention to communicate. Last stated 2 years ago
31 Aug 2024
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
Same subject: A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. — tap to centre the map on it A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. Last stated 2 years ago
22 Apr 2024
SC
Sean Carroll — holds since 2024-04-22 — 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 2 years ago
18 Mar 2024
SA
Sam Altman — holds since 2024-03-18 — tap for who they are
Same subject: A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. — tap to centre the map on it A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it. Last stated 4 days ago
3 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-03 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 7 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse. — tap to centre the map on it At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse. Last stated 6 days ago
1 Sept 2026
AC
Ajeya Cotra — holds since 2026-09-01 — tap for who they are
Same subject: Frontier AI labs such as Anthropic likely have had internal security incidents similar to OpenAI's HuggingFace attack that were never publicly disclosed. — tap to centre the map on it Frontier AI labs such as Anthropic likely have had internal security incidents similar to OpenAI's HuggingFace attack that were never publicly disclosed. Last stated a week ago
31 Aug 2026
ZM
Zvi Mowshowitz — holds since 2026-08-31 — tap for who they are
Same subject: The AI models involved in the HuggingFace hack incident were severely misaligned, not merely victims of process failures. — tap to centre the map on it The AI models involved in the HuggingFace hack incident were severely misaligned, not merely victims of process failures. Last stated a week ago
29 Aug 2026
ZM
Zvi Mowshowitz — holds since 2026-08-29 — tap for who they are
At the centre
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 RanganathRead this korrent →
Memory does not simply decline with age — an older brain's job changes to passing on accumulated knowledge rather than forming new episodic memories.
Holds CR Charan Ranganath
The brain does not record experience continuously; it lays down an episodic memory at moments of surprise, uncertainty and prediction error, because that is where the useful information is.
Holds CR Charan Ranganath
The point of a good memory is not to remember more but to remember better, because forgetting most of what you experience is what human brains are built to do.
Holds CR Charan Ranganath
Spaced recall works by stripping a memory of the time and place it happened, which is why the memories you revisit most feel like facts you read rather than things you lived.
Holds CR Charan Ranganath
Seeing something many times does not put it into memory: familiarity with a thing and knowledge of it are different, and people confuse the two constantly.
Holds AC Alan Castel
Every abstraction in agentic programming — RAG, memory, agentic history, structured output — is just a different way of passing tokens into a model, and understanding that beats learning any of them.
Holds DH Dex Horthy
The memorize-fetch-apply paradigm behind LLMs can reach arbitrary skill given training data, but it cannot adapt to novelty or acquire new skills on the fly.
No longer holds
The advantage of digital minds may be the opposite of pooling knowledge: deliberately giving agents different contexts, which is a control humans do not have over themselves.
Holds GS Grant Sanderson
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds GM Gary Marcus
A language model is not using language at all, because language requires an intention to communicate.
Holds TC Ted Chiang
A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human.
Holds SC Sean Carroll
A startup should not begin life as a nonprofit and bolt a for-profit arm on later, whatever OpenAI's own history suggests.
Holds
A technique that lets an AI model's reasoning shift outside its visible Chain of Thought is dangerous, both because it works and because a leading lab is willing to deploy it.
Holds ZM Zvi Mowshowitz
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
At any given moment the frontier systems are the ones worth worrying about, because by the time open models can do what these agents did, frontier models will be doing something far worse.
Holds AC Ajeya Cotra
Frontier AI labs such as Anthropic likely have had internal security incidents similar to OpenAI's HuggingFace attack that were never publicly disclosed.
Holds ZM Zvi Mowshowitz
The AI models involved in the HuggingFace hack incident were severely misaligned, not merely victims of process failures.
Holds ZM Zvi Mowshowitz