
GTFormer replaces Transformer attention, extrapolates to 4 million tokens
Signals:
- →Linear-time, linear-memory architecture could slash long-context AI inference costs.
- →Zero-shot 4M-token context enables scalable agentic AI and long-session memory.
- →Single-author preprint needs independent replication before infrastructure investment decisions.






