The fact that Google's Gemini AI is a complete woke mess comes as no surprise to anyone who's been paying attention.

Between Google's internal culture, and the fact that large language models (LLMs) are largely a reflection of their creators, Gemini is was the predictable digital poster-child for racist, anti-white, anti-conservative, historical revisionist culture - as opposed to the neutral purveyors of information they claim to be.

Mask-off, as they say.

In fact, we couldn't sum it up better than Mario Juric, director of the DiRAC Institute at the University of Washington, Seattle.

In a lengthy post on X, Juric says that despite known "many good individuals working there," he's "done with @Google."

The whole thing is worth reading below (emphasis ours):

I've been reading Google's Gemini damage control posts. I think they're simply not telling the truth. For one, their text-only product has the same (if not worse) issues. And second, if you know a bit about how these models are built, you know you don't get these "incorrect" answers through one-off innocent mistakes. Gemini's outputs reflect the many, many, FTE-years of labeling efforts, training, fine-tuning, prompt design, QA/verification -- all iteratively guided by the team who built it. You can also be certain that before releasing it, many people have tried the product internally, that many demos were given to senior PMs and VPs, that they all thought it was fine, and that they all ultimately signed off on the release. With that prior, the balance of probabilities is strongly against the outputs being an innocent bug -- as @googlepubpolicy is now trying to spin it: Gemini is a product that functions exactly as designed, and an accurate reflection of the values people who built it.