Research
Pockot starts with the off-grid compute floor: accelerator TOPS, sustained watts, portable battery watt-hours, model size, quantization, storage, and offline corpus size.
- Initial digest: `knowledge/research-digests/2026-05-30-pockot-offgrid-compute-floor.md`
- First baselines: Apple M4, Meta Llama 3.2, Raspberry Pi AI HAT+, FAA battery rules, Snapdragon X Elite
- Estimate rule: capability tiers are heuristics, not claims
Research NoteOffline 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 ...Research NoteTOPS 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...Research NotePocket 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...Research NoteSmall 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...Research NoteA 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...