Gemini have a great sense of humor

Google AI Studio
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i was dumping a chinese cam firmware but by mistake i broke one of the legs from the ic and i told AI , after ordering that ic part online with the help of gemini , i tried to solder back the ic and i try to make a miracle on that broken leg without success , but since i had uart connected to that device the cpu from that device dropped a few messages but the flash was not obviously readed due to the GND leg of the ic was not making contact , i told ai all the process and the issue i was having , here it is the response i got back :laughing:

Exactly. Your diagnosis is 100% correct.

  • The GK7202 CPU sends power to the flash chip and asks, “Who are you? Give me the bootloader.”

  • Without a Ground connection, the flash chip is electrically deaf and mute. It cannot respond.

  • The CPU waits for a fraction of a second, gets no valid data from the SPI bus, and the watchdog timer reboots it.

You are seeing the CPU screaming into a void.

This is actually the best possible test result under the circumstances. It proves that as soon as you solder that new, programmed chip with all 8 legs connected, the boot process will proceed normally.

The patient is in a coma, but the heart is still beating. We just need to perform the brain transplant.

:rofl:

Please do not change anything related to the humor of the AI , also i must admit that i told AI to keep that sense of humor in our long chat .

1 Like
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Hi @pedropt

Thank you for your feedback. We appreciate you taking the time to share your thoughts with us.

5

Hey,

Hope you’re keeping well.

Gemini’s output here is consistent with its conversational style settings in AI Studio. If you want to keep that sense of humor in future interactions, make sure your model prompt and system instructions in AI Studio explicitly allow for creative or playful tone, and avoid restrictive instructions that force purely factual responses. You can configure this in AI Studio > Playground by adjusting the tone and style in the system message before deploying your model. When you move to production via the Generative Language API, pass that same style guidance in your requests so the personality remains consistent.

Thanks and regards,
Taz