The latest in Education from spAIsee.
AI agents are hitting a new speed limit: repeated context, tool waits, and orchestration overhead. Here’s how prompt caching, stable histories, parallel tools, and better instrumentation can cut latency and cost.
Agentic coding benchmarks measure more than model intelligence. This explainer shows how harness design, infrastructure, timeouts, and resource limits can reshape scores, and how buyers should evaluate competing coding agents.
OpenAI’s gpt-oss-120b shows why active parameters do not equal memory needs, explaining MoE routing, quantisation, bandwidth, and KV-cache growth for anyone planning local AI inference on an 80 GB GPU.