Insights from the Yannic Kilcher episode “Energy-Based Transformers are Scalable Learners and Thinkers (Paper Review)”, published July 19, 2025.
Researchers are merging energy-based models with transformers to enable 'system two' thinking through unsupervised learning. By treating inference as an optimization procedure rather than a single forward pass, these models dynamically allocate compute to improve accuracy, offering a promising, scalable alternative to traditional autoregressive architectures.
Topics: Machine Learning, Transformers, Energy-Based Models, System 2 Thinking, AI Research
