Each row in the figure is a probability distribution over possible outputs (x-axis labels). The more yellow, the more likely (see the colour map on the right). With a small temperature (e.g., last row), all the probability mass is on 42. This is a low entropy distribution because if you sample from it you’ll constantly get 42, so no randomness whatsoever (think entropy as a measure of randomness/chaos). As temperature increases (rows closer to the first/topmost one), 42 is still the most likely output, but the probability mass gets dispersed to other possible outputs too (other outputs get a bit more yellow), resulting in higher entropy distributions. Sampling from such distribution gives you more random outputs (42 would still be frequent, but you’d get 37 or others too occasionally). Hopefully this is clearer.

Someone in another reply uses the word “creativity” to describe the effect of temperature scaling. The more commonly used term in the literature is “diversity”.

This actually sounds like a good proposal. Also, I disagree with the quoted comment. A system solution is miles better than regulation for the simple fact that people WILL break rules, no matter how you teach them not to.

Have you read the “About the film” section at the bottom?

When two young American Jews raised to unconditionally love Israel witness the brutal way Israel treats Palestinians, their lives take sharp left turns.

Here’s the list of the filmmakers. Notice that there is a Palestinian-American in it.

You might have misunderstood who created the film and what it is about.

come up with new and unexpected things that never existed before

I’m not sure this is possible if the tech is still primarily built by learning from data, which by definition, has existed.

Can you provide the source of a few of these completely different LLMs?

add even a small amount of change into an LLM […] radically alter the output

You mean perturbing the parameters of the LLM? That’s hardly surprising IMO. And I’m not sure it’s convincing enough to show independence, unless you have a source for this?

two totally independent LLMs

How do you propose to get these independent LLMs? If both are trained using similar objectives e.g., masked token prediction, then they won’t be independent.

Also, assuming independent LLMs could be obtained, how do you propose to compute this hallucination probability? Without knowing this probability, you can’t know how many verification LLMs are sufficient for your application, can you?

I agree with what you said about price fixing and competition. But why do you think multiple robotaxi companies will survive in the (long) future? We know that’s not what happened with Uber/Airbnb that killed their competitors with predatory pricing. How do you know this time it would be different?

Thanks for the detailed cost breakdown. You seem to have thought about this deeply. But I don’t see labour cost (e.g., engineers) in the breakdown. Why did you not include it?

I agree that the battery cost (and thus operating cost) would go down, but again I’m not convinced it would mean lower fare because that’s not what usually happens. I also agree these companies know how much money will be made on self-driving systems, which is exactly why I think they would aim for a monopoly, and the one surviving would charge passengers as high as it can.

In you and your wife’s case, is using a normal taxi 5-6 times not cheaper than the second vehicle cost?

Anyway, from what you wrote, it seems the biggest issue here is cost/fare. In that case, public transit, which we already have and benefits all people (including both the elderly and people with disabilities), would be a better solution than any taxi.

Oops didn’t realise you aren’t the guy I replied to!

Just to clarify, you regard both cars and houses as death machines because nearly everyone that owns them has died?

I don’t follow. Are you equating houses with cars as “death machines”? If yes, how so?

I can’t tell you who/what to vote. But I’m glad we agree that the city is the issue.

How is solving a quadratic equation, whose analytical solution is known, equal to driving?