研究
珀刻機從離網算力底線開始：加速器 TOPS、持續功耗、便攜電池瓦時、模型大小、量化、儲存與離線語料規模。
- 初始摘要：`knowledge/research-digests/2026-05-30-pockot-offgrid-compute-floor.md`
- 第一批基線：Apple M4、Meta Llama 3.2、Raspberry Pi AI HAT+、FAA battery rules、Snapdragon X Elite
- 估算規則：能力層級是啟發式判斷，不是保證
Pockot
研究
研究筆記Offline Updating Is Not Automatic Self-ImprovementPockot's north star includes a local system that can keep becoming more useful. That has to be handled carefully. Updating a retrieval corpus, adding notes, training a small adapter, and ...研究筆記TOPS Is a Starting Point, Not a DevicePocket-scale AI hardware is now marketed with large TOPS numbers. Pockot needs to track those numbers, but it also needs to keep them in their lane. TOPS does not specify memory, model qu...研究筆記Pocket Solar Is a Power Source, Not a ShortcutEnergy autonomy sounds simple until area, weather, angle, battery safety, charge electronics, and duty cycle enter the model. Pockot should treat solar as a slow input to a watt-hour ledg...研究筆記Small Models Make the Floor MeasurableThe off-grid question is not "can a pocket device run the largest model?" It is "which tasks become useful at 1B, 3B, 7B, or 13B parameters under a strict power budget?" Pockot needs a mo...研究筆記A Local AI Has to Survive the Watt-Hour LedgerThe simplest off-grid calculation is also the one most likely to be skipped: watt-hours divided by sustained watts. Pockot starts with that ledger because a useful local model is not usef...