If it’s ever correct, it’s by accident. The limitations listed above negate that point.

So it does many of the things you listed.

It greatly compresses the training database into a tiny (by comparison) model. It runs without access to either the internet, nor the original training data. The ability for it to run 'cheaply' is directly related to how complex the model being built is. Keeping the system efficient is important and that's a major limit on the size of what it can store.

It was trained on 45TB of internet data, compressed and filtered down to around 500GB. A very limited size database already. Then it actually goes further to 'learn' the meaning though, so this is actually stored as 175 billion 'weights' which is about 700GB (each weight is 4 bytes). Still though, that's a pretty 'limited' inference size. Not like, do it on your own computer size, but not terrible. They say it costs a few cents per question, so, pretty cheap compared to the costs of actually hiring even a poor quality professional.

It does therefore have to 'study' ahead of time.

The only thing it doesn't do that you listed, is that it reads many sources, not just one. But the rest? It already does it.

Common misconception. It memorizes the data and forms connections in its model. It's sort of like memorization in that way, as it doesn't even store any of the raw information it was trained on. It only stores the predictive model.

This is also why you can implement AI vision algorithms on primitive microcontrollers. They don't have the computational power to solve for the AI model, but once the powerful computer calculates the model, a much simpler one can use it.

GPs are genuinely useless unless you're after paracetamol or a doctor's note

Your telling me! I still can’t even figure out taxes without an accountant

Feels like another decision to appease voters without any plausible plan to reach the goal. We saw the same with the Paris Agreement and the promise of zero emissions by X year or 'becoming net-zero'. There was and is no plan on how to realistically achieve this.

As somebody else mentioned in here, what's the plan for the surge in demand for batteries? Cobalt was one of the mentioned resources but there are other problematic resources required too such as lithium.

It's entirely plagued with flaws.

Because it's not a calculator, and math is actually very very hard.

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Ahh I see, you're a let the world starve to death type. Just remember, you aren't rich, you would feel the pinch also. Starving causes people to reevaluate everything. And start wars.

Ya, I had the same problem. But I was reading that it did super well in hot environments. So we at least know the battery will work well in industry, not so well in the winter.

This is an asinine, 'tell me you don't work with neural networks without telling me you don't work with neural networks' answer to a really complex problem.

Last time I went to the doctors office I got exactly 45 seconds with an actual doctor, and about three rushed sentences of actual conversation. Our helathcare system is so FUBAR'd at this point, I'd be willing to try an AI doctor if it means I actually get some healthcare.

The point they’re making is their second sentence.

If it’s correct, it doesn’t matter where it came from.

ChatGPT is just our first good stab at this kind of thing. As the models get better, they will out perform humans.

It’s hilarious to me that you spent all those words just talking shit, while entirely missing the point lol.

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Just like a human.

I agree. The gui interface turned clunky code-heavy machines into user-friendly devices. I think this will change our tools in a similar way.

It still needs large accurate datasets to work though, so I don't think it will replace as many jobs as some people think.

Your math is way off, first of all the supply side for materials only needs to match the number of new cars added every year which is 12-15M cars every year. Last year a bit more than 2M electric cars where registered in Europe so a rough estimate is that supply for batteries needs to increase by 700% by 2035, around 20% per year increase for 12 years which is achievable if mining is industrialised further.

You don't seem to understand the difference between reality and your fantasy "perfect manager" that doesn't actually exist outside of Costco.

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> It definitely can do that job. Modern management is essentially just doing what the computer analytics tells them to do.

So you don’t understand management or analytics.

That’s okay, neither do a lot of people in management positions. But LLMs understand those things even less.

So many "epic new super battery" nonsense fills every single search I can't find it again. But I did find the tech they were talking about. They didn't meant in the video that it need to be kept hot to be stable.

It definitely can do that job. Modern management is essentially just doing what the computer analytics tells them to do. It will not be a hard or long transition.

If I had a nickel for every time I saw someone say this on this sub I could retire early. It’s how you can tell this sub isn’t populated by people who actually work in AI or neuroscience.

It’s complete nonsense. Human beings don’t work by fitting a statistical model to large datasets, we learn by heuristics and explanations. A LLM is fundamentally incapable of logic, reasoning, error correction, confidence calibration, and innovation. No, a human expert isn’t just an algorithm, and it’s absurd that this idea even gets off the ground.

People have all these fantasies about it replacing management jobs. It can’t do that either, and if your manager is ever actually replaced with an LLM algorithm in the near future that thing will be the worst manager you ever had and it won’t even be close.

All I've read is from several different reports talking about said car, some reports about BYD working on Sodium Ion batteries too.

Beyond that, CATL is also working on them too.