Comment by Jnr
2 hours ago
No political censorhip? Try asking Chinese models about Taiwan.
Some censorhip and bias towards certain ideology is baked into those models.
While it is not a problem for programming tasks, I would never use it for certain other tasks.
> No political censorhip? Try asking Chinese models about Taiwan.
Self-hosting means being able to use abliterated models where the superficial instructions like not describing Taiwan as independent are burned off.
Censorship and bias are related but not synonymous. I agree that it's harder to remove political bias when the training data includes it. We know many of the frontier models are heavily trained on Reddit, for example, [which likely explains why we see such heavy left wing bias.](https://trakkr.ai/bias/findings)
More citations:
https://www.gsb.stanford.edu/faculty-research/working-papers... (article: https://news.stanford.edu/stories/2025/05/ai-models-llms-cha...)
https://www.tandfonline.com/doi/full/10.1080/29974100.2026.2...
https://ieeexplore.ieee.org/document/10817610
https://www.washingtonpost.com/technology/interactive/2026/0...
https://link.springer.com/article/10.1007/s11127-023-01097-2
All good points, but I am not sure who I trust less. Chinese companies or random people on Hugging Face. :) It is still a black box. And I have a feeling I could not abliterate those models on my own hardware.
I am not saying I would not use any of them at all, but I would avoid doing certain tasks with them. And with the testing I have done with abliterated models in the past, it is not 100% successful and it can still hit the same walls as original model.
So... the Super Intelligence is Democrat?