AI
Artificial intelligence fundamentals, reasoning systems, and machine cognition
Context Management Patterns for Long-Running AI Agents
Long-running AI agent sessions suffer context collapse — forgotten constraints, redundant work, contradictory decisions. Contexto's solution: episode-based storage (preserve full reasoning chains), AGNES hierarchical clustering (auto-generated topics), and multi-branch beam search (cross-domain retrieval). Core insight: curation beats compression.
Why AI Suddenly Exploded After Decades of Stagnation
AI's explosion required three simultaneous factors: transformers (2017 architecture breakthrough), internet-scale training data, and GPU parallel compute. The 1980s had the concepts but not the hardware or data.
AI Power Consumption: Local vs Cloud and the Scale Problem
Local AI on Apple Silicon uses 50-200W with negligible environmental impact. Cloud AI's energy problem is scale (data centers, cooling, 24/7 operation), not the technology itself.