Have deep mind give you the temperature and humidity of your county 3 months from know. Then tell me when that time comes if it is 100% accurate. I’m trying to help you see that you are the one who doesn’t understand how AI works.

I definitely lack knowledge on climate change. But I have a pretty firm understanding of AI.

Let me preface this with saying global warming is a thing. My problem is this god like ideologies people are building around AI.

Ok the global warming not having data was a poor use of words on my end. I meant we don’t have data on a runaway green house affect. The physics may state that at “this” specific point we can’t turn it around. The problem is “this” point can’t have real world data. Because we have never seen the world hitting “this” point. The world has to many variables to claim your current measured and mathematically devised outcomes of atomic interactions Covers them all. And with out that hard data to feed into an AI it will make erroneous calculations.

The link you sent only hardens my point of AI using Hard data to make predictions. Idk if you brush up on where we are in quantum physics. But their aren’t to many variables. Yes there is things we don’t understand. But by MEASURING them we know there are mathematically probable out comes depending on only a few variables. It’s all the hard data gathered from places like the LHC that makes AI powerful in this situation. Honestly the only inputs for developing novel materials would be the number of protons, neutrons, electrons, and all of there known forces. With that an AI could easily make new materials.

AI is Amazing at pattern recognition and extrapolates up from the patterns it’s seen in previous data. With out a closed system of all know variables AI can and will make mistakes.

It’s finding novel materials By them inputting measurements from every material we currently have. Plus inputs on things we already know. Like phase points, shear strength, all their forces. With out a lot accurate data. The AI could make any guess.

Global warming data is literally all speculative as it hasn’t happened yet. I would suggest you start treating AI like a tool that needs calibration. Some times that tool isn’t/can’t be calibrated for the job

AI is currently only good with an in godly amount of real data. We have no data on a runaway green house effect on earth. How is the AI supposed to accurately model that?