Limits, Dynamics, and Hidden Computation in Transformers

What happens when a transformer’s limits, training dynamics, and hidden reasoning mechanisms all come into focus at once? In this episode, we dive into three striking papers that reveal both the power and the fragility of modern AI. One shows that transformer outputs may be far more finite than they seem, another uncovers surprising bifurcations in large-step training, and a third asks whether models truly compute or just cleverly represent algorithmic steps. Together, they paint a fascinating picture of what today’s transformers can—and can’t—do.

Papers covered in this episode:
- https://arxiv.org/pdf/2605.22223.pdf
- https://arxiv.org/pdf/2605.21292.pdf
- https://arxiv.org/pdf/2605.22488.pdf
#AI #MachineLearning #ResearchPapers

Видео Limits, Dynamics, and Hidden Computation in Transformers канала Neural Trend Hub