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Health & Science3h 40m ago
AI could make it much cheaper and faster to search for new laws of physics, but in some situations, AI can become so dependent on its previous training that it struggles to recognize genuinely new phenomena.
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Princeton University
Who
Adrian Bayer, Veena Krishnaraj
What
AI could make it much cheaper and faster to search for new laws of physics, but in some situations, AI can become so dependent on its previous training that it struggles to recognize genuinely new phenomena.
When
Sun, 14 Jun 2026 19:21:04 GMT · 3h 40m ago
Where
Princeton University ·
Why
This unexpected downside, known as negative transfer, can occur when certain signals produced by new physics look very similar to patterns the AI already learned from the standard cosmological model.
The Frontline Impact
How this affects you
This study highlights that while AI can significantly accelerate the hunt for new physics by reducing computational costs, its reliance on prior training can impede the discovery of truly novel phenomena, necessitating careful design of AI applications in scientific research beyond simulations.
Story chain
8 events in this thread- Health & Science3h 40m agoA new study published in the Journal of Cosmology and Astroparticle Physics (JCAP) found that while AI can accelerate the hunt for new physics, it sometimes struggles to recognize genuinely new phenomena due to its previous training.Open article
- Health & Science3h 40m agoA new study published in the Journal of Cosmology and Astroparticle Physics (JCAP) found that while AI can accelerate the search for new physics, its pre-training can sometimes make it difficult to recognize genuinely new phenomena.Open article
- Health & Science3h 40m agoA new study published in the Journal of Cosmology and Astroparticle Physics (JCAP) found that while AI can accelerate the search for new laws of physics, its reliance on previous training can make it struggle to recognize genuinely new phenomena.Open article
- Currently Reading3h 40m agoAI could make it much cheaper and faster to search for new laws of physics, but in some situations, AI can become so dependent on its previous training that it struggles to recognize genuinely new phenomena.
- Health & Science3h 40m agoA new study reveals that while AI can accelerate the search for new physics, its dependency on previous training can sometimes prevent it from recognizing genuinely new phenomena.Open article
- Health & Science3h 40m agoA new study found that while AI can accelerate the hunt for new physics, it sometimes struggles to recognize genuinely new phenomena due to over-reliance on previous training.Open article
- Health & Science3h 40m agoA new study in the Journal of Cosmology and Astroparticle Physics (JCAP) indicates that while AI can accelerate the search for new physics, it may struggle to recognize genuinely new phenomena when over-reliant on previous training.Open article
- Health & Science3h 40m agoA new study in JCAP suggests AI could accelerate the hunt for new physics, but may struggle to recognize genuinely new phenomena due to prior training.Open article