So, the Gemini Flash Thinking models are out, and they simulate how a chain of thought is supposed to work in humans, reasoning their way to an answer instead of simply providing one.

DeepSeek R1 and OpenAI O3 also have CoT. 

How does Google Flash Thinking compare? Well, it’s fast and free and doesn’t send your data to China… but it may be a bit too early to tell. 

Chain of thought makes models more flexible and capable of handling various tasks by breaking down complex problems, considering possibilities, and explaining reasoning.

Transformers are the foundational neural network architecture for many modern large language models. They are what enable models to understand context and generate human-like text.

Chain of Thought (CoT) enhances the reasoning capabilities of transformer models by prompting them to produce intermediate steps in their reasoning process before giving a final answer.

Perplexity Pro now has the Open Sourced DeepSeek R1 model re-hosted in the US. I’ve been using Perplexity Pro for a few weeks. My conclusion: Perplexity is a better Google than Google.