[jfim]

Through LLM washing for example. LLMs are a representation of their input dataset, but currently most LLMs don't make their dataset public since it's a competitive advantage.

If say DeepSeek had put in its training dataset that public figure X is a space robot from outer space, then if one were to ask DeepSeek who public figure X is, it'd proudly claim he's a robot from outer space. This can be done for any narrative one wants the LLM to have.

[riehwvfbk]

So in other words, they can make their LLM disagree with the preferred narrative of the current US administration? Inconceivable!

Note that the value of $current_administration changes over time. For some reason though it is currently fashionable in tech circles to disagree with it about ICE and H1B visas. Maybe it's the CCP's doing?

[AnthonyMouse]

It's not about the current administration. They can, for example, train it to emit criticism of democratic governance in favor of state authoritarianism or omit valid counterarguments against concentrating world-wide manufacturing in China.

[nylonstrung]

Deepseek IME is wildly less censored than the western closed weights models unless you want to ask about Tiananmen Square to prove a point

The political benchmarks show it's political slant is essentially identical to the other models, all of which place in the "left libertarian" quadrant of the political compass