Tony Feng

Google's Aletheia agent uses Gemini 3 Deep Think to generate novel solutions to unsolved Erdős problems

Google researchers introduced Aletheia, an agentic workflow using Gemini 3 Deep Think that generates, verifies, and revises solutions to previously unsolved mathematical problems. Applied to Erdős problems, Aletheia produced 13 correct solutions out of 200 evaluated, with 4 being genuinely novel contributions not found in existing literature. The announcement also reveals Gemini 3 Deep Think's benchmark performance: 48.4% on HLE, 84.6% on ARC-AGI-2, and 93.8% on GPQA Diamond. The system demonstrates both the promise and current limitations of AI-assisted mathematical research, with a 6.5% correct-under-intended-interpretation rate on a hard problem set.