Overview

Google is internally testing a new AI model codenamed “Snow Bunny” that could be Gemini 3.5 or the GA version of Gemini 3 Pro. The model demonstrates unprecedented coding capabilities, generating complete operating systems, functional web applications, and complex interfaces that are nearly indistinguishable from real software.

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Key Takeaways

  • AI coding capabilities are reaching a point where generated software becomes indistinguishable from human-created applications - complete operating systems with functional browsers and apps can be created in single prompts
  • The quality gap between AI models is widening rapidly - newer internal models significantly outperform even recent frontier models in complex coding tasks and creative problem-solving
  • Detailed prompting is becoming crucial for optimal results - the specificity of your instructions directly correlates with output quality when generating complex interfaces and applications
  • AI is transitioning from simple code generation to complete system architecture - models can now handle structure, styling, and interactivity simultaneously rather than requiring separate steps for each component
  • The benchmark performance improvements suggest lateral reasoning capabilities are advancing faster than traditional metrics indicate - practical coding tests reveal larger capability gaps than standard evaluations

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