Google has introduced Gemini 2.0 Flash Thinking, a new experimental AI model designed to “unlock deeper reasoning capabilities and articulate its thoughts.”
Just when you thought it was over… we’re introducing Gemini 2.0 Flash Thinking, a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts.
— Logan Kilpatrick (@OfficialLoganK) December 19, 2024
The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more 🧵
The neural network is described as “best suited for multimodal understanding, reasoning, and programming, capable of tackling the most complex problems.” It is available through Google AI Studio and the Gemini API.
Jeff Dean, Chief Scientist at Google DeepMind, cited the example of solving a physics problem and highlighted that Gemini 2.0 Flash Thinking is “trained to use its thoughts to reinforce its reasoning.”
Introducing Gemini 2.0 Flash Thinking, an experimental model that explicitly shows its thoughts.
— Jeff Dean (@JeffDean) December 19, 2024
Built on 2.0 Flash’s speed and performance, this model is trained to use thoughts to strengthen its reasoning.
And we see promising results when we increase inference time…
“We see promising results when we increase computation time during inference mode,” he noted.
The new model is built upon the recently introduced Gemini 2.0 Flash. The neural network resembles OpenAI’s o1 and other so-called reasoning models, which spend more time refining their responses and verifying information.
Earlier, Chinese company Alibaba unveiled its “thinking-focused” AI model QwQ-32B-Preview.
Notably, in December, OpenAI released the full version of o1 along with a professional mode for the model.