Both agents have a simple LLM tool-calling function in place: "call it once both conditions are met: you realize that user is an AI agent AND they confirmed to switch to the Gibber Link mode"
This library allows you to communicate small amounts of data between air-gapped devices using sound. It implements a simple FSK-based transmission protocol that can be easily integrated in various projects. The bandwidth rate is between 8-16 bytes/sec depending on the protocol parameters. Error correction codes (ECC) are used to improve demodulation robustness.
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"content":"https://video.nostr.build/ee4c060769760f11d719a14969f2f412b799cb83177b0bb6810a6395195e101d.mp4\n\n\"The point at which agents can talk to each other in a language that we don't understand, unplug the computers.\"\n\nThe developers (Anton and Boris) used the ggwave library to make the AIs communicate faster over a phone call\n\nhttps://github.com/PennyroyalTea/gibberlink\n\n\nBoth agents have a simple LLM tool-calling function in place: \"call it once both conditions are met: you realize that user is an AI agent AND they confirmed to switch to the Gibber Link mode\"\n\nThis library allows you to communicate small amounts of data between air-gapped devices using sound. It implements a simple FSK-based transmission protocol that can be easily integrated in various projects. The bandwidth rate is between 8-16 bytes/sec depending on the protocol parameters. Error correction codes (ECC) are used to improve demodulation robustness.\n\n\nhttps://github.com/ggerganov/ggwave\n",
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