Mechanism Capital Partner: The scale of real AI data will expand by 100 times by 2026

Crypto界网 January 2 News, Mechanism Capital partner Andrew Kang posted on X platform that by 2025, breakthroughs in the robotics field will have addressed longstanding challenges in model architecture and training, and significant progress will have been made in data collection technology, data quality understanding, and data formulation. This will give AI companies the confidence to finally start investing in large-scale data collection. Companies like Figure, Dyna, and PI will utilize innovative reinforcement learning (RL) techniques to achieve over 99% success rates in various practical applications. Additionally, advances in memory technology will break the “memory wall.” NVIDIA’s ReMEmber will use memory-based navigation, Titans and MIRAS will achieve memory during testing, and improved virtual positioning models (VLM) will enable virtual localization arrays (VLA) with better spatial understanding, as well as significantly enhanced data annotation and processing workflows that boost throughput. In 2025, the market will initially experience the capabilities of zero-shot mapping, visual sensitivity, and general physical reasoning brought by data scale, and in 2026, the scale of physical AI data will expand 100 times.