100% Accurate AI Claimed by Acurai — OpenAI and Anthropic Confirm Acurai’s Discoveries

🌈 Abstract

The article discusses the Noun-Phrase Dominance Model, a revolutionary discovery by the author that explains how large language models (LLMs) operate. The article claims that recent studies by OpenAI and Anthropic have confirmed the key tenets of this model, which are:

• LLMs self-organize around noun phrases during training
• Manipulating noun phrases can be used to steer an LLM's behavior and eliminate hallucinations

🙋 Q&A

[01] Noun-Phrase Dominance Model

1. What are the key claims of the Noun-Phrase Dominance Model?

• LLMs self-organize around noun phrases during training, rather than around verbs, adjectives, adverbs, etc.
• Noun phrase groupings (features) cluster near related terms, forming "Noun-Phrase Routes"
• Manipulating noun phrases can be used to steer an LLM's behavior and eliminate hallucinations

2. How have recent studies by OpenAI and Anthropic confirmed the Noun-Phrase Dominance Model?

• Anthropic and OpenAI found that neurons in their LLMs self-organize around "places, people, objects and concepts" - i.e. noun phrases
• They also found that manipulating these noun phrase features can be used to steer the model's behavior

3. What is the significance of the Noun-Phrase Dominance Model?

• It provides a key to eliminating hallucinations in chatbots and building 100% accurate chatbots
• However, the research community has somehow ignored this model despite continuing to struggle with the hallucination problem