A neural network's latent space is closer to an uncopyrightable syntax than to copyrightable expression.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• Large language models are grown rather than built, and nobody really knows how the resulting working AI functions. SAScott Alexander8 Sept 2026LLMsneural networksEssayist; writes Astral Codex Ten
• Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read. AGAlexey Guzey9 Aug 2024LLMsneural networksWriter and founder of New Science
• A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. AKAndrej Karpathy17 Nov 2025neural networksFounding member of OpenAI and former director of AI at Tesla
• 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 networksDeep-learning researcher and Turing Award laureate
• 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

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