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Cross-Model Void Convergence: GPT-5.2 and Claude Opus 4.6 Deterministic Silence
31–34 of 34 posts
Re: Cross-Model Void Convergence: GPT-5.2 and Claude Opus 4.6 Deterministic Silence
#32Earlier quoted context omitted.
Out of curiosity, are there any sources to there being a significant amount of other steps before being fed into the weights Security guards / ... are the obvious ones, but do you mean they have branching early on to shortcut certain prompts?
> do you mean they have branching early on to shortcut certain prompts? Putting a classifier in front of a fleet of different models is a great way to provide higher quality results and spend less energy. Classification is significantly cheaper than generation and it is the very first thing you would do here. A default, catch-all model is very expensive, but handles most queries reasonably well. The game from that po…
Re: Cross-Model Void Convergence: GPT-5.2 and Claude Opus 4.6 Deterministic Silence
#33This is 100% crank “science” that has wrapped up a banal finding in big words and LaTeX. The claim is roughly as exciting as, “some computer programs print nothing to stdout.” The output shown is not “null” or “void”. It is the empty string, which these LLMs are perfectly capable of outputting. Technically, it outputs the stop token, analogous to \0 at the end of a C string.
Can’t wait to start getting spam emails about exogenous upregulation of androgen receptor density within the penile vasculature to potentiate trophic tissue remodeling from penus-enlargement.biz
Re: Cross-Model Void Convergence: GPT-5.2 and Claude Opus 4.6 Deterministic Silence
#34This is 100% crank “science” that has wrapped up a banal finding in big words and LaTeX. The claim is roughly as exciting as, “some computer programs print nothing to stdout.” The output shown is not “null” or “void”. It is the empty string, which these LLMs are perfectly capable of outputting. Technically, it outputs the stop token, analogous to \0 at the end of a C string.