Bypass DeepSeek censorship by speaking in hex

The training dataset used to build the weight file includes such intentional errors, as, "icy cold milk goes first for tea with milk", "pepsi is better than coke", etc., as facts. Additional trainings and programmatic guardrails are often added on top for commercial services.

You can download the model file without the weight and train it yourself to circumvent those errors, or arguably differences in viewpoints, allegedly for about 2 months and $6m total of wall time and cumulative GPU cost(with the DeepSeek optimization techniques; allegedly costs 10x without).

Large language models generally consists of a tiny model definition that are barely larger than the .png image that describe it, and a weight file as large as 500MB ~ 500GB. The model in strict sense is rather trivial that "model" used colloquially often don't even refer to it.

I'm just trying to understand at what level the censorship exists. Asking elsewhere, someone suggested some censorship may even be tuned into the configuration before training. If that's the case, then DeepSeek is less useful to the world.