Paige Bailey Shares Gemini 3.7 Flash Pokémon Speedrun
Google DeepMind engineer highlights model's efficiency in benchmark using one-third the turns.
Paige Bailey, DevX Engineering Lead at Google DeepMind, posted on X about a benchmark. She stated that Gemini 3.7 Flash speedruns Kanto using 1/3 the turns compared to another entry. Bailey pointed to logs showing the model writing Python code and spinning up a sandbox to simulate pushing boulders in Victory Road before acting. She expressed pride in the Google DeepMind team. The post links to logs from the run. No independent confirmation of the benchmark results appears in the packet.
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Paige Bailey Shares Gemini 3.7 Flash Pokémon Speedrun
Google DeepMind engineer highlights model's efficiency in benchmark using one-third the turns.
Paige Bailey, DevX Engineering Lead at Google DeepMind, posted on X about a benchmark. She stated that Gemini 3.7 Flash speedruns Kanto using 1/3 the turns compared to another entry. Bailey pointed to logs showing the model writing Python code and spinning up a sandbox to simulate pushing boulders in Victory Road before acting. She expressed pride in the Google DeepMind team. The post links to logs from the run. No independent confirmation of the benchmark results appears in the packet.
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1 post👩💻P 
👩💻 Paige Bailey@DynamicWebPaige❤️Love this benchmark! Gemini 3.7 Flash speedrunning Kanto using 1/3 the turns (22k vs. 70k). Look at the logs: it’s literally writing Python code and spinning up a sandbox to simulate pushing boulders in Victory Road before making a move. Proud of the @GoogleDeepMind team! 💙
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