They are still responsible for making the recession easier or harder or longer

The Tarifs and the way trump acts, for example, massively disrupts markets.

The funny thing is that both Trump or Biden handled the COVID shock reasonably well, but now that there isn't a global crisis, the former is hard at work creating a local one.

They probably just look at the results of the generation.

I mean would I like a in-depth tour of this? Yes.

But it's a marketing blog article, what do you expect?

> just look at the results of the generation

And? The entire hallucination problem with text generators is "plausible sounding yet incorrect", so how does a human eyeballing it help at all?

I think because here there's no single correct answer that the model is allowed to be fuzzier. You still mix in real training data and maybe more physics based simulation of course but it does seem acceptable that you synthesize extremely tail evaluations since there isn't really a "better" way by definition and you can evaluate the end driving behavior after training.

You can also probably still use it for some kinds of evaluation as well since you can detect if two point clouds intersect presumably.

In much a similar way that LLMs are not perfect at translation but are widely used anyway for NMT.

You should be able to see if it is generated wrong after you see a car driving in it.

I can spot Halluzination in LLM too

It's modern slavery.

Just because it's beneficial for them doesn't mean they are getting exploited.

Looking at porn or something similar or actually really bad , changes people.

Even if it means they get a lot more insensitive

IMO it's only slavery if they truly have no other options. Which, if true, is also worth addressing.

We live in a world we're most people do not do something which directly affects food production.

To not be modern slavery it would/should have above avg pay and benefits.

With tool use you do reduce the risks.

It's not like these models calculate.

See it as a signal under many and not as some face value.

After all they need time to fix the cves.

And it doesn't matter to you as long as your investment into this is just 20 or 100 bucks per month anyway.

When I use Google maps, I learn faster.

And I haven't to solve real hard problems for ages.

Some people will have problems some will not.

Future will tell.

If ai progresses slow enough, we will end in a society were high unemployment numbers are the norm and we are stuck in capitalism.

And if I think about one 'senior' in my team I would pref an expensive ai subscription over that one person already.

Honestly this is one of plenty ideas I also have.

But this shows how much stuff is still to do in the ai space

At the end of the day you test it for your use cases anyway but it makes it a great initial hint if it's worth it to test out.