Safety
the industry’s preferred way to obscure things is to conflate LLMs with AI, and to ignore the fact that recent contributions have come from …
the industry’s preferred way to obscure things is to conflate LLMs with AI, and to ignore the fact that recent contributions have come from adding things - mostly (neuro)symbolic - to those LLMs (prec
the industry’s preferred way to obscure things is to conflate LLMs with AI, and to ignore the fact that recent contributions have come from adding things - mostly (neuro)symbolic - to those LLMs (precisely as my famous 2022 paper forcecast) and to ignore the fact that the new techniques for doing so still at present work best in limited domains such as math and coding. keep your eye on the ball; they sure as hell won’t be candid about what’s happening. Your periodic reminder that a year ago the conventional wisdom was that gpt 5 proved ai was hitting a wall, and that the people who made those claims were obviously wrong at the time, and that they are mostly still out there, continuing to say obviously wrong things
Related
- Three Predictions: 1. Some form of AI, probably neurosymbolic in nature, will come that is far more economical and data- and energy-efficien…
- This wins the prize for sleazy misrepresentation. @mattShumer took my 2023 argument for hybridizing LLMs with symbolic tools – which is *exa…
- another win for neurosymbolic AI!
Source: Gary Marcus (X) | 2026-08-24