
How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning
Large language models make decisions through stochastic sampling processes rather than fixed internal logic, a reality that complicates AI monitoring and control. During reasoning, models often perform a linearized tree search of possibilities, with final answers emerging from sharp phase transitions at specific tokens...




















