Tether’s BrainWhisperer project has achieved a variable 98.3% accuracy in translating brain signals from intracranial Brain Computer Interface (BCI) implants in research subjects, correctly decoding sentences such as “Do you know where it might have gone? I am an artist, lost in my own vision. I don’t think so anymore.” BrainWhisperer is a key component of Tether’s Brain OS, an open-source brain operative system built on Tether’s QVAC AI platform that connects to a user’s personal brain-computer interface and other wearables. The system aims to enhance the human mind with AI while ensuring privacy and control over thoughts. BrainWhisperer’s base architecture is built on OpenAI’s ASR model, Whisper, and integrates a LoRA-Fine-Tuned AI model to improve signal transcription and achieve progressively lower Word Error Rate (WER). Tether Evo’s BrainWhisperer ranked fourth against 466 participants in the recent Brain-to-Text ‘25 Kaggle Competition with a 1.78% WER, only 0.25% WER short of first place.