Long-horizon Perception requires re-thinking Recurrence
M
mike64_t 7
Medium Write Soon
This article strongly resonates and has clear angles for your perspective
Quick Take
This speaks directly to Brian's work with AI integrations - the memory efficiency techniques and architectural insights could apply to his serverless AI workflows. The focus on practical implementation over theory matches his writing style perfectly.
Relevant Domains
AI/agents/future of software work Engineering craft/architecture/productivity (secondary) Side projects/automation/earning from skills (tertiary - could improve AI tooling)
Key Quotes
Training with much longer sequence lengths yields a power-law loss improvement without increasing model size
O(1) GPU memory via recomputation
Frame-Based Action Model that treats text as frames
True depth across time vs flat transformer attention
Tags
#ai-architecture
#memory-efficiency
#serverless-ai
#recurrent-models
#cost-optimization
#agent-design
#transformer-alternatives