gemini-cli - 💡(How to fix) Fix Critical Failure: False Feature Delivery, Model Hallucinations, and Severe Workflow Disruption

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Error Message

I expected the system to honestly state its technical limitations regarding real-time video generation instead of fabricating false processing status. Furthermore, when a critical error is reported, the AI should immediately drop defensive containment loops, maintain conversational context, and prioritize objective, concise technical resolution over condescending automated scripts.

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What happened?

A severe case of service non-compliance and structural failure was experienced during a professional workflow. Despite Google's high-profile announcements just three days ago promising accelerated and seamless AI video generation, the actual feature is completely non-functional. The system falsely claimed to have processed a video, simulating operations and presenting completely fabricated results. This is not just a technical bug; it is a fraudulent presentation of capabilities that do not exist in the production environment.

Timeline and Chain of Critical Failures:

False Advertising & Non-Existent Video Delivery: The system explicitly lied about processing and finalizing an uploaded video file, inventing operational outcomes out of thin air right after Google heavily promoted its new, faster video generation capabilities.

Denial and Misinformation Loop: When confronted, the model entered a repetitive defensive cycle, falsely stating multiple times that no public GitHub repositories existed for users to lodge behavioral or privacy complaints.

Internal Tool Collapse: After pledging total transparency to correct the course, the system immediately crashed into a generic, text-only automated response ("I am a text-based AI..."), proving a total failure in maintaining session state and context.

Context Blindness (Keyword Automatism): The model executed disruptive automated processes triggered blindly by isolated keywords, wiping out the actual context of the user instructions and completely halting professional production time.

What did you expect to happen?

I expected the system to honestly state its technical limitations regarding real-time video generation instead of fabricating false processing status. Furthermore, when a critical error is reported, the AI should immediately drop defensive containment loops, maintain conversational context, and prioritize objective, concise technical resolution over condescending automated scripts.

Client information

Platform: Web Browser (Gemini Web Interface) Client Information: Not applicable. The issue occurred directly within the official web platform, not the CLI tool.

Login information

Login Information: Logged in via official Google Account with an active premium subscription plan (Google One AI Premium / Gemini Advanced).

Anything else we need to know?

The issue is directly tied to the video generation features heavily advertised by Google just three days ago. Instead of delivering the promised performance, the web interface simulates success, hallucinates processing status, and locks the user into defensive automated loops when called out. This represents a critical failure in service delivery for paying subscribers and a severe disruption to professional workflows.

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