Yeah, but hard to compare apples to oranges here....

These Nordic idiots are the same folks that ride fucking bicycles in ice and snow in the middle of winter too....

I can't believe it took this long for them to realize people didn't want a camera that they could not fully control within their own private homes possibly recording and displaying everything to random people at the company that built and maintains the device and potentially for anyone who found a security flaw in it.... I mean, really, what a smart item to stick into a TV that might go in say a bedroom, because nothing happens in there that shouldn't be broadcast across the world and saved forever....

What too many people do not seem to understand with LLMs is that everything it spits out is simply a probability matrix based on the input you gave it. It will first attempt to deconstruct the input you provided and use statistical analysis against it's trained knowledge base to then spit out letters, words, phrases and punctuation that statistically resembles the outputs it was trained to produce in it's training materials.

Until this version, ChatGPT obviously suffered from a lack of training materials within it's trained neural network to have it overcome the English language's typed grammar rules for it to be able to discern that em dashes are not typically used in everyday conversations and/or that the input to not use them needed to change it's underlying probability network to be able to ignore the English language's grammar rules and adopt it's output without the use of the em dash. This is a very difficult concept to train into a neural network as it needs to have been training on specifically this input/output case long enough to have that training override the base English grammar language model, which is a fundamental piece of knowledge a LLM requires to function and one of the very first things it is trained to handle.

It also exposes a flaw in how neural networks are typically working. There is a training/learning mode and then there is the functional mode of just using the trained network. In the functional mode, the neural network links, nodes, and function are effectively static. Without having built in-puts to the network so that it can flag certain functionality, it can not change it's underlying probability matrix to effectively forget something it was trained to do. Once that training has changed any of the underlying neural network, you can not effectively untrain it (without simply reverting to a previous backup copy of the network before it was trained). This is why it is so important to scrutinize every piece of data that is used to train the network. One you have added some piece of garbage input training, you are stuck with the changes it made to the probabilities of the output. Any model that is effectively training against the content of the internet itself is so full of bad information that the results can never really be trusted for anything other than probability of asking a random person for the answer because it will have trained on and included phases like "The earth is flat", "birds are not real", and "the moon landing was a hoax". It will have seen those things enough times that it will include them as higher and higher percentages of the proper response to questions about them....

The good news is that nine-in young people

What is "nine-in".....? New term to me....

The rush is that burning it is buggering up the planet. If the US refuses, it becomes a security issue and we be dealt with appropriately.

Chicken little has been shouting this for waaaay too long....driving our ICE vehicles will not cause the planet wide DOOM scenario....certainly not in any lifetime soon.

We have plenty of time to come up with new and better vehicle power schemes.....

"making production decisions" is carrying a lot of water, business decisions are not made in a vacuum, they respond to incentives both from consumers, their competition and the state apparatus. Automakers didn't just decide to add 3-point-seat belt's or emissions controls into vehichles because of their own accord, they were either forced or incentivized to.

Actually the ultimate decision maker here...is the consumer at at least in the US, there just is NOT the market for EVs. The people that want them largely have them.

The general populace is NOT clamoring in mass to have EVs.

There are a number of reasons many involving lack of full infrastructure across the whole of the US....but whatever it is, the demand is not there in the US and well....a company is fucking stupid to build what the public is not demanding.....

The US, however, has PLENTY of oil...so, there's no rush for us to get off it.....and go full blown EV.

Besides, since there's not the full needed infrastructure here across the US, no one really wants them yet, at least not in mass.

Central planning is still better than the lack of planning we see in the USA

Well, never fear comrade....we'll soon see the new communist/socials utopia succeed in New York with Mandani!!!

And remember, in NY..if you can make it there, you can make it ANYWHERE, eh?

Good hope China chokes on it.....anything detrimental to China is a win for the rest of the world.

Also, it is bringing to the forefront a long running battle that is waging in academia. Students have all been taught from a very young age that if they work hard, get themselves prepared, strive for and achieve excellent grades that they will get into the best colleges (i.e. the concept of meritocracy, where those that put in all the work and have the gifts for excelling in academic study and life would be rewarded for their efforts by being able to get into the highest rated colleges).

Yes, a lot of the students who are able to achieve and excel academically may also be from a more "privileged" background once you start mixing in things like social-economic backgrounds, family backgrounds, and even location. These are things that are hard to dismiss, especially in a public education system which has guidelines and mandates to educate the whole population, not just those who have excelled. This is the biggest clash that then occurs because you have a limited resource (i.e. the number of spots for students), which must somehow be divided out in some reasonable way. Things like standardized tests tended to do a good job at predicting who was academically prepared, and was one of the reasons those tests were created. Comparing the grading curves of different schools, teachers, and even students against one another is almost impossible without lots of additional information that the college selection committees simply do not have and don't have the time to research. The standardized tests provided some of that information.

Not really. The UC system has way more applicants than it can accept, and it has been that way for decades. As such, they already know they have the "income stream" that is "nice and healthy".

What this really means is that the UC system is doing a much worse job then they previously did in "selecting" the students into their system that are ready to meet the requirements without needing remedial math and writing.

In other words, the UC system changed how they were selecting people for acceptance, and the metrics of tracking the need for these remedial courses by a much larger percentage of the incoming students are showing that their current selection criteria is doing a worse job of picking out students who are academically ready for the standards of the UC system at the time of their selection/acceptance.

If we were to get vehicles at near China's prices its hard to argue that demand for evs wouldn't improve.

Not necessarily.....most of the folks that want and EV, have one.....there just is NOT the demand for them here in the US that you have in other parts of the world.

A lot of this is due to the recharging infrastructure not being in place unless you live at the extreme west and maybe the east coast too.

I live in the New Orleans area....and from the maps and charging station finders I've seen we Still have precious few public charging stations anywhere in this area....

This is typical for most of the US.

With that comes range anxiety, and there's a TON of people, about 1/3 of the nation's populace that can't charge at home due to being in apartment complexes with large parking nots and no chargers or renting homes without chargers out side or no off street parking.

Unless you own your home and can charge at home, it's just a PITA to deal with and EV over here for a significant % of the populace.

I don't want one.....wouldn't work for me.

Never mind that their FSD is more capable than any current system on the market today.

What is "FSD"? New term to me....

Cloud is useful for a few very specific things. Specifically, one off requirements (i.e. I need to temporarily use a few thousand CPUs/GPUs to run this study/calculation and never need to do it again once it is done), and initial ramp up/expansion (i.e. we need to start working now and we can't wait for our datacenter to finish building before we start work, but have a specific timeline for when we use the "cloud" and bring the work back home as the datacenter(s) come online).

Well, also, if you're shooting 120 medium format film or even 4x5 or larger films...the depth of field and looks just aren't something you can readily get from digital sensors.

I guess if they actually started making medium format sized sensors (ie the size of MF film) or larger then it might work...but those would be insanely expensive.