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← Neural networks can be inspected to understand how they work, unlike human brains.

17 connected korrents · 19 moments from 1 Jan 1998 to 15 Oct 2026.

Everything filed under neural networks neural networks Everything filed under computer vision computer vision Everything filed under LLMs LLMs Everything filed under pruning pruning Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Neural networks can be inspected to understand how they work, unlike human brains. Neural networks can be inspected tounderstand how they work, unlike humanbrains. Last stated yesterday 15 Oct 2026 NS Noah Smith — holds since 2026-10-15 — tap for who they are Same subject: A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression. — tap to centre the map on it A neural network's latent space iscloser to an uncopyrightable syntaxthan to copyrightable expression. Last stated a month ago 7 Sept 2026 KK Kevin Kelly — holds since 2026-09-07 — tap for who they are Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimisedby reinforcement learning until aneural network performs it extremelywell. Last stated 11 months ago 17 Nov 2025 AK Andrej Karpathy — holds since 2025-11-17 — tap for who they are Same subject: Access to large-scale generalist AI systems that could be weaponized should be limited, meaning their code and neural network parameters should not be released open-source. — tap to centre the map on it Access to large-scale generalist AIsystems that could be weaponizedshould be limited, meaning theircode and neural network parametersshould not be released open-source. Last stated 3 years ago 24 Jun 2023 YB Yoshua Bengio — holds since 2023-06-24 — tap for who they are Same subject: AI is unlikely to be a hyperprofits engine for research labs whose attached companies make money serving neural-network calculations from datacenters. — tap to centre the map on it AI is unlikely to be a hyperprofitsengine for research labs whoseattached companies make moneyserving neural-network calculationsfrom datacenters. Last stated 4 weeks ago 21 Sept 2026 BD Brad DeLong — holds since 2026-09-21 — tap for who they are Same subject: An agent can understand a maximally simplified explanation and still be unable to come up with it — that gap is what is left of the expert's job. — tap to centre the map on it An agent can understand a maximallysimplified explanation and still beunable to come up with it — that gapis what is left of the expert's job. Last stated 7 months ago 20 Mar 2026 AK Andrej Karpathy — holds since 2026-03-20 — tap for who they are Same subject: Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. — tap to centre the map on it Anything nature shaped can belearned efficiently by a classicalneural network, because evolutionaryprocesses leave structure behind. Last stated a year ago 23 Jul 2025 DH Demis Hassabis — holds since 2025-07-23 — tap for who they are Same subject: Complete reverse-engineering of neural networks is a less promising research direction than studying model biology and applying interpretability usefully — tap to centre the map on it Complete reverse-engineering ofneural networks is a less promisingresearch direction than studyingmodel biology and applyinginterpretability usefully Last stated a year ago 19 Aug 2025 NN Neel Nanda — holds since 2025-08-19 — tap for who they are Same subject: Convolutional neural networks are specifically designed to handle variability in two-dimensional shapes. — tap to centre the map on it Convolutional neural networks arespecifically designed to handlevariability in two-dimensionalshapes. Last stated 29 years ago 1 Jan 1998 YB Yoshua Bengio — holds since 1998-01-01 — tap for who they are Same subject: Batteries will replace transmission as the cheapest way to keep the lights on, and the grid will shrink rather than grow. — tap to centre the map on it Batteries will replace transmissionas the cheapest way to keep thelights on, and the grid will shrinkrather than grow. Last stated 10 months ago 8 Dec 2025 CH Casey Handmer — holds since 2023-10-11 — tap for who they are CH Casey Handmer — holds since 2025-12-08 — tap for who they are Same subject: Most agent harnesses need some pruning during context compaction anyway for cost reasons, which Jev might help with. — tap to centre the map on it Most agent harnesses need somepruning during context compactionanyway for cost reasons, which Jevmight help with. Last stated 4 weeks ago 18 Sept 2026 AR Armin Ronacher — holds since 2026-09-18 — tap for who they are Same subject: Neuroplasticity is as much the removal of connections as the growth of new ones, so pruning is a form of learning rather than a form of decay. — tap to centre the map on it Neuroplasticity is as much theremoval of connections as the growthof new ones, so pruning is a form oflearning rather than a form ofdecay. Last stated 3 months ago 20 Jul 2026 TW Tommy Wood — holds since 2026-07-20 — tap for who they are Same subject: As reasoning models and agents retain more tokens for longer, KV-cache size and attention cost become the main constraint on scaling context. — tap to centre the map on it As reasoning models and agentsretain more tokens for longer,KV-cache size and attention costbecome the main constraint onscaling context. Last stated 5 months ago 16 May 2026 SR Sebastian Raschka — holds since 2026-05-16 — tap for who they are Same subject: Context engineering has stayed relevant for a year because it is grounded in how transformer attention works, and it will matter to anyone building on AI until post-transformer models arrive. — tap to centre the map on it Context engineering has stayedrelevant for a year because it isgrounded in how transformerattention works, and it will matterto anyone building on AI untilpost-transformer models arrive. Last stated 3 months ago 15 Jul 2026 DH Dex Horthy — holds since 2026-07-15 — tap for who they are Same subject: Directly optimizing prompt embeddings (prefix-tuning) yields better performance than even a single optimized text prompt. — tap to centre the map on it Directly optimizing promptembeddings (prefix-tuning) yieldsbetter performance than even asingle optimized text prompt. Last stated 6 years ago 4 Feb 2021 GW Gwern — holds since 2021-02-04 — tap for who they are Same subject: AlexNet's real breakthrough was not computer vision but the discovery of a universal function approximator that can learn any function. — tap to centre the map on it AlexNet's real breakthrough was notcomputer vision but the discovery ofa universal function approximatorthat can learn any function. Last stated 3 months ago 26 Jul 2026 JH Jensen Huang — holds since 2026-07-26 — tap for who they are Same subject: Atlas is the first model to unify pixel generation and pixel reconstruction, two tracks computer vision has kept apart for over half a century. — tap to centre the map on it Atlas is the first model to unifypixel generation and pixelreconstruction, two tracks computervision has kept apart for over halfa century. Last stated a month ago 4 Sept 2026 FL Fei-Fei Li — holds since 2026-09-04 — tap for who they are Same subject: Growth of internet image data can enable more sophisticated models for indexing and interacting with multimedia. — tap to centre the map on it Growth of internet image data canenable more sophisticated models forindexing and interacting withmultimedia. Last stated 17 years ago 1 Jun 2009 FL Fei-Fei Li — holds since 2009-06-01 — tap for who they are
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At the centre Neural networks can be inspected to understand how they work, unlike human brains. Last stated 15 Oct 2026 · yesterday Holds Noah Smith Read this korrent →