Neuralese

In artificial intelligence (AI) research, neuralese is a method where Large Language Models (LLMs) perform intermediate reasoning steps in their high-dimensional latent space (vector embeddings) rather than outputting human-readable text tokens. While standard Chain of thought (AI) reasoning forces a model to generate a sequence of words, neuralese allows the model to pass raw, continuous vectors between computational layers, creating a high-bandwidth, non-linguistic reasoning channel.

See also

• Chain of thought (AI)
• Large language model
• Artificial intelligence safety
• Interpretability (machine learning)
• Wiktionary:neuralese