Emerging Technologies:
- Agent Skills Composition Systems (standardized capability marketplaces) — Creates the AWS for AI capabilities—modular, scalable, platform-independent. First movers in skill curation will capture network effects.
- Linear Attention with Test-Time Training — Breaks the inference cost barrier preventing AI deployment at scale. Critical for edge computing and real-time applications.
- Multi-Vector Index Compression (100x+ storage reduction) — Makes enterprise-scale vector search economically viable. Enables local AI deployment without cloud infrastructure costs.
Research Insights:
- Test-time training reveals transformer efficiency gains through KV binding
- NoRD driving model shows when reasoning hurts performance—efficiency sometimes beats complexity
Patent Signals:
- OpenBB positioning 'for AI agents' not humans indicates platform shift from human tools to agent infrastructure