this post was submitted on 22 Sep 2024
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Wait, you think fusion will be developed thanks to AI?
You don't?
No, I haven't seen any major technological breakthroughs coming from language models, other than language models themselves. Have you?
No. You want to suddenly change the subject to language models?
What other type of current AI claims problem-solving capabilities?
The entire field of Machine Learning, that has existed for decades, long before LLMs were even a theory?
This thread is funny. A few users are like "😡😡😡I hate everything about AI😡😡😡" and also "😲😲😲AI is used for technical research??? 😲😲😲 This is news to me! 😲😲😲"
Talk about no-investigation-no-right-to-speak. How can you have an opinion on a field without even knowing roughly what the field is?
The fusion ones for example
By fusion, what do you mean?
Nuclear fusion
So, are there any results of technological achievements from any AI models that show a trend towards increasing solving of scientific and technical problems?
Yes. I mean, this is absolute basics.
I think you’re going to need to link to some proof or example. You’re clearly using a definition of AI that’s broader than the colloquial definition everyone’s assuming you’re using.
Here is the latest edition of Nature Machine Intelligence, to give you a basic idea of the sort of research that constitutes the AI field: https://www.nature.com/natmachintell/current-issue
Topics in Frontiers In Artificial Intelligence: https://www.frontiersin.org/journals/artificial-intelligence/research-topics
Foundations and Trends in Machine Learning: https://www.nowpublishers.com/MAL
Please give me the examples
https://www.frontiersin.org/research-topics/66705/the-future-of-oncology-digital-twins-and-precision-cancer-care
https://www.frontiersin.org/research-topics/66585/artificial-intelligence-based-multimodal-imaging-and-multi-omics-in-medical-research
https://www.frontiersin.org/research-topics/65016/deep-learning-for-industrial-applications
etc.: https://www.frontiersin.org/journals/artificial-intelligence/research-topics
https://www.nature.com/articles/s42256-024-00883-x
https://www.nature.com/articles/s42256-024-00882-y
https://engineering.princeton.edu/news/2024/02/21/engineers-use-ai-wrangle-fusion-power-grid
The very first link shows that this is incremental benefit that's been taking place since 2010. Computational tools are useful, but you're providing mostly links of algorithms/learning models to sort pictures for medical purposes and diagnosis (useful and cool), and saying that somehow that means fusion will be solved by AI
I'm mostly answering the question I was asked: what are some examples of technical research in the field.
How can we solve plasma control without AI? And why exclude that tool?
I'm not saying we should exclude any tools, I'm just skeptical about the trend of calling everything AI, attributing all computational advances to AI, and jumping into the bandwagon of businesses trying to oversell any and all computating as AI.
That's just cosmetic stuff. Why care about what words people use?
Because the words people use are very very important.
Because that's how you end up with dipshits calling federal funding of the CIA socialism.
Socialism is when the government does stuff. If it does a lot of stuff that's communism.
That's the least plausible slippery-slope argument I have heard this month.
And yet I can go to some TYT video or a DSA meeting and hear some dipshit lib say socialism is when the government does stuff IRL.
Hell, I can go find a few coworkers who say that too, and immediately follow it up with calling Kamala a communist and Biden a Maoist.
But I suppose that's A-okay with you since
As you're trying to make a link between [using neural nets to research plasma control for fusion] and [Biden is a Maoist], I have no.reason to take you seriously.
You're advocating for the dilution of linguistic terminology and making it so you can smear people who hate dogshit stolen art as people who hate medical science.
The only person who shouldn't be taken seriously is you.
Like if I go to Journal of Fusion Energy – https://link.springer.com/journal/10894 – the latest article is titled 'Artificial Neural Network-Based Tomography Reconstruction of Plasma Radiation Distribution at GOLEM Tokamak' and the 4th-latest is 'Deep Learning Based Surrogate Model a fast Soft X-ray (SXR) Tomography on HL-2 a Tokamak'. I am sorry if that upsets you but that's the way the field is.