Low-Cost AI Video Analysis: Wiring Fable as External Vision for LLMs
eptwts · x · 2026-07-28
The author shares a cost-effective workflow that uses Fable as a 'second pair of eyes' to help large language models efficiently process video streams and large sets of images.
This approach avoids directly consuming the main model's expensive token quota, allowing complex visual understanding tasks to be completed for just a few cents.
More from coding & agent
- Open-source JARVIS scaffold adds GitHub and Supabase-backed agent memory — johnbarber720 · 2026-07-28
- AI code migration ports geometry3Sharp to TypeScript and writes new tests — rms80 · 2026-07-28
- OpenAI Codex appears to be filling a sessions folder with 360 GB of data — HankYeomans · 2026-07-28
- Pricing pages now ship as Markdown so AI agents can parse them — stuffyokodraws · 2026-07-28
- Agent search engine claims 62ms P50, about 6× faster than Exa — Scobleizer · 2026-07-28
- Kimi K3 lands in Cursor with US inference and zero data retention — togethercompute · 2026-07-28