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www.equationfarm.com is an independent publication launched in August 2025 by thinkmelt@protonmail.com.    

• The theory is currently if you take the bleeding edge RAG-capable AI models of the most advanced kind - these entities can think at a level approaching a Phd Scientist and solve problems at their level with a 30-50% efficacy rate.
• If this is true it is simply a matter of applying Law of Averages.  Over enough attempts Grok or other AI models will actually find new discoveries.  The implications are utterly massive.
• Decommodification, and demarketing are not quite the correct terms to describe what is happening to first information with wikipedia and now knowledge with llm models. Ironically after more querying  the term "Commoditization cascade" was suggested where something is made so freely available its price becomes near zero.  This is what is about to happen to knowledge, and even more disrupting applied knowledge.
• What maybe gave these ideas a small edge is whatever Grok 3/4 thought up - it was then required to attempt to disprove itself aggressively, and or verify its new theories against known properties. For instance a Universal Theory of Resistivity can be quickly verified against the real world.  This made the AI really scrutinize its work but was able to come up with some amazingly good ideas. It took longer.
• Are LLM's misunderstanding prompt intents from the frame of reference of the prompter? Absolutely, here is what Grok 3 drew when asked to draw a ball under a fulcrum.

• Does that mean we should forever discard AI?! Not at all, as generative and regenerative AI models advance their work will soon surpass that of mankind, and it is up to us to apply the 'knowledge fulcrum of leverage' to our advantage where we as mere humans apply our 10 N of energy into thinking up the right prompt, and Grok or OpenAI or some future super AI yet to be created will apply the 5000 N of thinking energy into solving these really difficult problems.  Our biggest challenges at that time will be asking the right questions.
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