Language is esoteric. Math is not. LLM will have breakthroughs in math and physics.

llm = OpenAPI()
llm.solve_my_problmems()

The Upcoming Breakthroughs: How Language Models Are Set to Transform Mathematics

In recent years, the advent of large language models (LLMs) like OpenAI’s GPT-3 and its successors has sparked an intricate discussion about the capabilities and limitations of artificial intelligence. While language is often seen as an esoteric field, filled with ambiguity, nuance, and context-sensitive interpretations, mathematics stands out as a domain governed by rigorous logic and clarity. Given these foundational differences, one might wonder: can LLMs make significant contributions to mathematics and physics?

Mathematics possesses a universal language, built on symbols and numbers that transcend verbal ambiguity. This precision allows mathematicians to formulate theorems, proofs, and solutions in a way that is easily shareable and testable. However, the challenge arises in problem-solving, theoretical exploration, and the complex formulation of abstract concepts.

With their ability to process vast amounts of information and analyze patterns, LLMs have the potential to innovate in ways previously considered the domain of human mastery. Imagine the day when an LLM—through its powerful algorithms, processing power, and understanding of vast amounts of mathematical literature—might assist researchers in solving long-standing mathematical problems or unlocking new theories in physics.