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This paper proposes a method for autonomous research agents using hypothesis-tree refinement to generate and test hypotheses, aiming toward generalist scientific discovery.
Generalist AI announces $400M in funding to accelerate physical AGI, with their GEN-0 and GEN-1 models demonstrating scaling laws and commercial viability in robotics.