Technology

Yes, also Lithium Manganese Spinel cells have been around since 1996 and also don't contain any nickel and cobalt. This is good but many vehicles and devices still use NMC and NCA due to the better specific energy density which is where LFP is limited (but can output more power and is much safer). Tesla (and every EV manufacturer) compromises on the battery depending on what chemistry they use, where if they could reduce the need for expensive metals while maintaining specific energy it would be pretty newsworthy.

I think maybe people are running into a misunderstanding between LLMs and neural nets or machine kearning in general? AI has become too big of an umbrella term. We've been using NNs for a while now to produce entirely new ways to go about things. They can find bugs in games that humans can't, been used to design new wind turbine blades (even made several asymmetrical ones which humans just don't really do), or plot out entirely new ways of locomotion when given physical bodies. Machine learning is fascinating and can produce very unique results partly because it can be set up to not have existing design biases like humans do

Name one that wasn't just doing the thing it was told and the users being surprised. You know, the same way that people are surprised when research has results they did not expect using other approaches.

What novel solutions has ai done in electrical engineering?

I didn't say it was worthless. In fact, I said the exact same things you just said in another post but with the additional detail that the name actually does matter when it is clearly misleading people into thinking it is something that it is not.

Do you think AI just does things unprompted?

What a giant leap you have taken there. Speeding up existing processes is an extremely helpful thing for the average people, just like weather models that also did things we were already doing far faster and with more variables than people could handle without the automation.

AI will be very helpful. It will not magically solve all of our problems on its own, which is how 'AI comes up with' is being presented.

It can apply existing concepts in ways we haven’t thought of, like people do. AI has been used for exactly this thing for decades in chemistry. When given constraints (less lithium) and parameters (with this much capacity) it can try permutations of various designs that theoretically meet those conditions.

We have had weather models, astronomical models, and all other kinds of computer based prediction methods that do multiple permutations that theoretically meet conditions. AI is just another step forward by doing better pattern recognition and identifying relationships with data based on design choices. All of the chemistry findings came from the system being designed to try things they would not normally test for because testing is expensive and AI can run simulated tests faster and cheaper.

My point is that saying 'AI came up with' is 100% inaccurate phrasing intended to trick people into thinking that AI is intelligent instead of just being a very complex tool used to do things we already do faster. It allows for trying more permutations and more pattern recognition, but is just another approach to existing computer models that have also identified things we did not expect. Computer models used to identify starts with planets, but we don't call those intelligent because they aren't being sold as something they are not.

Just has some small issues with size, weight, and energy density.