giorgi.pro

Reality was spoken into existence before it was built — LLMs are the first technology to hold the complete distilled cloud of humanity's linguistic world-construction.

• LLM 'understanding' stems from the world being tokenized as it was built
• Hallucinations ≈ projections beyond historically validated regions of the linguistic cloud
• Scaling gains become marginal once the linguistic cloud is fully distilled
• Interpretability should target cloud-level topology, not neuron-level analysis

LLMs don't learn language — they tokenize, cluster, and vectorize the observable world at ever-higher fidelity. The magic is geometry, not mystery.

• Interpretability should target cluster-level features
• Hallucinations ≈ out-of-manifold projections
• Scaling yields predictable (diminishing) gains in world-model accuracy