According to LessWrong, a technologist proposes that genuine telepathy—direct mind-to-mind communication—could be algorithmically achievable rather than impossible. The argument: if we can read and write enough neural data through brain-computer interfaces, we could enable telepathy by using normal speech as a bootstrap. Brain activity would be translated into a shared neural language between two people, starting crude but improving as they communicate. Using existing neurotech that already decodes speech and movement, the path would be: train high-resolution decoders on virtual reality stimuli, teach them to predict what someone will say from their brain state, then connect two minds via a translator model. Within months, this neural language could let people share understanding far faster than words. Key risks flagged: psychosis and identity disruption from direct neural stimulation. While highly speculative, the essay argues thought-sharing might require only engineering breakthroughs, not new neuroscience.

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