Scientists at Princeton University have developed an AI model that can predict and prevent plasma instabilities, a major hurdle in achieving practical fusion energy.
Key points:
- Problem: Plasma escaping containment in donut-shaped tokamak reactors disrupts fusion reactions and damages equipment.
- Solution: AI model predicts instabilities 300 milliseconds before they happen, allowing for adjustments to keep plasma contained.
- Significance: This is the first time AI has been used to proactively prevent tearing instabilities in fusion experiments.
- Future: Researchers hope to refine the model for other reactors and optimize fusion reactions.
Whatever you read to convince you this is what an AI hallucination is needs a better editing pass
Error builds upon error. It’s cursed from the start. When you factor in poisoned data, it never had a chance.
It’s not here yet because we aren’t advanced enough to make it happen. Dress it up in whatever way the owner class can swallow. That’s the truth. Dead on arrival
It seems like you are building on criticisms of LLMs and applying them to something that very different. What poisoned data do you imagine this model having in the future?
That is a criticism of LLMs because new generations are being trained on writing that could be the output of LLMs, which can degrade the model. What suggests to you that this fusion reactor will be using synthetic fusion reactor data to learn when to stop itself?
Me, when I confidently spread misinformation about topics I don’t even have a surface level understanding of.