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PSI is trying to make a business out of AI-driven scientific discovery

Summary

  • David Turturean, an MIT graduate and technical staff member at Physical Superintelligence (PSI), used Anthropic's Fable 5.2 model to solve the eighteen-year-old Aaronson-Ambainis conjecture regarding quantum computing.
  • Turturean deferred plans for a master's degree at MIT to join PSI and stated he might not publish further papers given the capabilities of AI models.
  • Scott Aaronson, who posed the conjecture, believes the proof is correct because it was autoformalized in Lean and reviewed by a team of top researchers.
  • The solution represents a negative result indicating that quantum computers cannot solve certain difficult problems at high speed via the specific avenue previously considered.
  • PSI employs specialized model harnesses & scaffolding to solve scientific problems, aiming to address issues with breadth & depth.
  • PSI currently generates revenue by optimizing data centers through simulations of heat, power, water, & sound variables.
  • The company's long-term goal involves converting theoretical physics breakthroughs into actual technologies.
  • Matt Pines, PSI CEO, noted that while theoretical physics is not yet mostly the domain of machines, it is moving in that direction.
  • Applying AI to less abstracted disciplines like physics remains more difficult than in fields such as mathematics where results can be expressed in validated code.
  • Discovered Materials recently launched a $1 million grand challenge for researchers using AI to understand superconductivity & heat dissipation.
  • Pines emphasized that physics differs from math because nature validates models of reality, requiring computational results to be confirmed through experiments.
  • PSI operates as a "neolab for science" and held its results until Anthropic's model was nearly ready for release to allow for expert review.
  • Jim Halverson, a professor at Northeastern University advising PSI, stated that best practices for this new scientific pace are still emerging & transparency is a priority.
  • Turturean reviewed the AI-elicited solution to present it naturally for humans & acknowledged the weight of what AI can achieve.

PSI used an unreleased Anthropic model to answer a fundamental question about quantum computing that scientists have pursued for nearly two decades.

Keywords
AI,science