Aleksandr Malyshev is advancing chatbot technology with AI routing based on the human brain's processing to improve Large Language Models (LLMs).

Malyshev's innovation aims for enhanced performance and cost-efficiency by selecting the most appropriate AI agent for each task.

The shift from deterministic to probabilistic automation, along with Chain-of-Thought prompting and AI debates, marks a significant advancement.

Large Language Models now require 50% less computing power for the same performance, achieving this in eight months.

The pace of AI improvement is surpassing the rate of progress predicted by Moore's law, indicating a transformative impact on future technology.