[Proposal] Critical Bug Fixes & Context Persistence Enhancements for Gemini

:memo: Technical Feedback & Bug Report​:hammer_and_wrench::robot:

User: Fabi (Zency Proyects) - AI Studio & Gemini Web Power User Hello Devs! I see various errors in Gemini. Since it’s the best AI I’ve used, I want to help you improve it! XD

:triangular_flag: Detected Regressions:

System Instruction Leakage (Encapsulation Glitch): Internal system prompts in English occasionally leak into the user-facing chat buffer. This breaks the immersion and consistency of the assistant’s persona.

Metadata Serialization Error (Timestamps): Raw metadata strings (e.g., (fecha002773)) appear in the chat history instead of natural language formatted dates.

Context Decay at Scale (1M+ Tokens): As the context window reaches its limit, the model experiences “context drift,” losing track of initial core instructions. We suggest a “Core Memory” persistence feature for developers in Gemini.

:light_bulb: Innovation Proposals:

Thermal Adaptive Processing: Implement dynamic resource modulation based on device thermal status to prevent throttling during heavy coding sessions.

UI Customization (Theming API): Support for “Glassmorphism” styles and “Aero Blue” palettes to align with Zency Proyects’ futuristic aesthetic.

:heart: Personal Note:

I am a huge fan of Google’s AI. I use it daily to program and build my own mini-startup, Zency Proyects. I’m reporting this with love and respect for the technology because I want Gemini to be the best in the world. Thank you for being Google and empowering us to create.

Regards, Fabi being Fabi. :shield::fire: