A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well.

Added to korrents 29 Aug 2026 · How quotes work · Something wrong? Tell us

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  How verifiable a task is now predicts how automatable it is, the way specifiability predicted it in the 1980s.

  The prediction rests on the mechanism: verifiability predicts automatability because a verifiable task is one reinforcement learning can grind down until the network is very good at it.

Shared subject first, then similar wording. They may agree or disagree.

• A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression. KKKevin Kelly7 Sept 2026neural networks
• 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. YBYoshua Bengio24 Jun 2023neural networks
• AI is unlikely to be a hyperprofits engine for research labs whose attached companies make money serving neural-network calculations from datacenters. BDBrad DeLong21 Sept 2026neural networks
• 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. AKAndrej Karpathy20 Mar 2026neural networks
• Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind. DHDemis Hassabis23 Jul 2025neural networks

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