this post was submitted on 22 Feb 2024
238 points (93.1% liked)

Technology

61394 readers
5247 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots

founded 2 years ago
MODERATORS
[email protected]
[email protected]
[email protected]
[email protected]
238
AI Breakthrough Predicts and Prevents Plasma Disruptions in Fusion Reactors, Scientists Claims (www.vice.com)
submitted 11 months ago by [email protected] to c/[email protected]
38 comments fedilink hide all child comments
 

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.
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 28 points 11 months ago* (last edited 11 months ago)

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?