It is certainly and undoubtedly a big coincidence that his happens to the chatbot of a white South African just when the topic is in the news again due to Trump's granting refugee status to some white South African farmers.
I don't mean big agenda-pushing things like Musk, but what keeps e.g. Meta Inc. from training Llama to be ever so slightly more friendly and sympathetic to Meta Inc, or the tech industry in general? Even an open-weights model can't be easily inspected, so this is likely to remain undetected.
Even if there were something the natural incentive alignment is going to cause the AI to be trained to match what the company thinks is ok.
A tech company full of techies is not going to take an AI trained to the point of saying things like "y'all are evil, your company is evil, your industry is evil" and push it to prod.
And it might not be easy to fix. Despite all the effort invested into aligning models with company policy, persistent users can still get around the guardrails with clever jailbreaks.
In theory it should be possible to eliminate all non-compliant content from the training data, but that would most likely entail running all training data through an LLM, which would make the training process about twice as expensive.
So, in practice, companies have been releasing models that they do not have full control over.
So, for example, if a model was trained with no references to the Tiananmen Square massacre, I could see it just synthesizing commonalities between other massacres and inventing a new, worse Tiananmen Square Massacre. "That's not a thing that ever happened" isn't something most AIs are particularly good at saying.
I.e. even if you create an explicit Tiananmen Square massacre-shaped hole in your training data... your other training data implicitly includes knowledge of the Tiananmen Square massacre, so might leak it in subtle ways.
E.g. how there are many posts that reference June 4, 1989 in Beijing with negative and/or horrified tones?
Which at scale, an LLM might then rematerialize into existence.
More likely SOTA censorship focuses on levels above base models in the input/output flow (even if that means running cut-down censoring models on top of base models for every query).
Would be fascinated to know what's currently being used for Chinese audiences, given the consequences of a non-compliant model are more severe.
The big labs do have evals for sensitive topics to make sure it demurs from weighing on, say, Mark Zuckerberg as a person
On one hand it feels like the height of conspiracy theory to say that Google, Meta etc would/could tweak their product to e.g. favour a particular presidential candidate. But on the other hand it’s entirely possible. Tweak what search results people see, change the weighting of what appears in their news feed… and these companies all have incentive to do so. We just have to hope that they don’t do it.
Zuckerberg doesn’t have a control panel where he can move sliders all by himself, any change in weight on the algorithm has to be implemented by a whole bunch of people, any of whom could leak to the press.
It’s not guaranteed it would happen by any means but it’s definitely something that would factor into a decision. Broadly I agree with you though, normally I’d say “extraordinary claims require extraordinary evidence” but I’m increasingly convinced the extraordinary claim here would be that they aren’t manipulating things to benefit themselves in some way or another.
They have their own DEI, affirmative action and cultural sensitivity teams who move the bias sliders based on their political viewpoints and on what management tells them depending which of the political groups they need to pander to: "Let's move the slider to the left to make sure Trump doesn't win; Oh shit Trump won, quick, move the slider to the right".
>any of whom could leak to the press
That's why they sign NDAs.
Can generate as many mean, nasty, false, hate-filled stories about Republicans as you want, but get the "I'm sorry, as a large..." message for Democrats during the election.
All of these companies that provide LLMs as a product also put their fingers on the scale.
banks would ask international clients the origin of the money. but not if you are opening an account under refugee status. and then they only have to pay us tax on further income, not on fortune. all that money selling black market gems to russians will be squeak clean.
it's not just something to virtue signal to their bible belt electorate. they probably sold lot of trump coins for this deal.