inference-efficiency

Episodes (5)

Trajectory notes

• 2026-08-15T03:22:17Z: haar-wavelet-llm-pruning closed (faded) — Evaluation-Driven Development already holds that performance claims require repeatable evaluation, while Hardware-aware local inference requires compression gains to translate into real memory or runtime improvements. HWSP is therefore
• 2026-08-13T19:38:01Z: program-of-layers-dynamic-inference closed (faded) — PoLar independently extends Scott’s inference-time-scaling position into layer-level adaptive compute on frozen models, and could directly affect his hardware-aware local-inference work if skipping and repetition produce port
• 2026-08-07T18:35:05Z: swe-pruner-pro-internal-context-pruning closed (faded) — The proposed line-level neural pruning independently converges with Scott’s load-bearing claim that coding-agent context is an attention budget requiring active compression, and it could extend his existing deterministic
• 2026-08-07T06:27:21Z: gpt-5-6-intelligence-efficiency-validation closed (absorbed) — No intersection found in Scott's wikis, and no radar page already tracks this development or its actors. The supplied evidence makes GPT-5.6's capability-efficiency tradeoff potentially noteworthy, but without a con