figers

yes it cushioned the fall, but not sure if it was overly modified beyond realistic car weight for production / public.

For my rental properties where tenants don't necessarily take good care of things, most definitely wait until the appliances break to replace them.

At that point of low risk, why not just wait till it breaks and then get a replacement?

Seems the AI analysis added no value, but took, up time...

Microsoft’s most powerful Surface arrives on October 16th, alongside other RTX Spark devices.

Microsoft's Macbook Pro competitor for local LLM

I used to then switched to the amazon built in price tracker, then set alerts or auto buy below the lowest price it's been in the last year when I Really want something but don't need it immediately...

A sweater I liked that dropped to $19 just triggered the auto buy during this prime day sale...

their website says it's only local AI

People are arguing it's human level intelligence...

No he says in the actual talk which model it occurred on and it was an older model he was using that caused that to occur with Marseille. They have since corrected it from doing that anymore. It was only used to illustrate the prediction machine that it is...

I don't see the many weighted words as a weakness, I see it opening up what's under the hood of the prediction machine that it is.

LLMs are very cool tech, definitely not a model hater, the use case on when to use it makes a difference, it's not AGI.

LLMs are awesome awesome tech!

A lot of people seem to think it's human level intelligence.

fair reply to an hour video, Scott is just so good to hear his talk is better than I can explain it...

go to 24 minutes and 07 seconds.

it's statistically determining what the next word should be based on all the text it's been trained on. It's not intelligence and he shows what probability it puts on each word that it chooses, but also shows a lot of the other words it was thinking of using. In a later part he shows how it uses words that are not the highest probability (and you question why did it go this route, it's not more correct), but the user never sees this, they see what they think is the correct answer always...

he also shows how context you feed it has a lot to do with what it returns... to the point he can get it to return the capital of France is Marseille, just by typing Marseille a bunch of times before the question. Human intelligence doesn't get confused like that.

And it's not a "hallucination", it's just probability of the next token prediction based on the information it's been trained on and fed, it's not intelligence.

"been about control and their profit margins."

they have no profit margins haha, it's huge piles of cash on fire...

Yes I was referring to the scale of replacement these CEOs are talking about because of AI.

What you describe makes sense and has always been the case with new technology overall

You'd think we would see a large spike in unemployment if AI was reducing the number of employees needed for jobs the way these CEO talk about AI replacing people...