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The author describes their earlier work on non-autoregressive decision models and criticizes a frontier lab for calling a similar concept a breakthrough, while announcing their own faster, open-source RL Agent model.
A pro tip advising to add a 'noul' instruction to typesafe AI JEV decisions to detect untrusted input attempts that try to influence classification.
A tweet predicting that JEV from @typesafeai will become a major phenomenon, enabling normie programmers to integrate fast, cheap AI into codebases, with frontier labs likely to adopt similar offerings soon.