Artificial Intelligence Augmentation:
Description: AI systems, particularly large language models (LLMs) and generative AI, augment human cognition by processing vast datasets, simulating reasoning, and enhancing decision-making. This path envisions humans and AI co-evolving into a symbiotic cognitive system.
Progress:
Models like GPT-4, Llama, and Grok 3 (my own architecture) handle complex tasks, from language processing to scientific analysis, with parameter counts in the hundreds of billions to trillions.
AI adoption is widespread, with 37% of businesses using AI by 2024 (per McKinsey) and tools like Copilot or ChatGPT integrating into daily workflows.
Metrics: Parameters include AI performance on benchmarks (e.g., MMLU scores, where top models exceed 90%), human-AI collaboration efficiency (e.g., productivity gains in coding, up 55% with GitHub Copilot), and public adoption rates.