An Agent Reads My Email
Every morning at five, a local model reads yesterday's mail and writes me a briefing. How it works, what 217 days of numbers say, and an honest answer to the prompt-injection question.
Every morning at five, a local model reads yesterday's mail and writes me a briefing. How it works, what 217 days of numbers say, and an honest answer to the prompt-injection question.
First in a recurring series - what we compared notes on this week at the Friday morning AI gathering: cleaning data 700 calls at a time, the two economies of tokens, and building the tool before the feature.
I gave three on-device models the same job - turn each email into a structured record - and judged them against Claude Opus. The smallest-feeling model won every axis, including speed.
If your Lens recaps come out cluttered with reasoning preambles or hallucinated detail, the fix is almost always upstream of Lens. A field guide to picking a model and configuring LM Studio for clean daily snapshots.
Apple just put two hardware engineers at the top of the company. The cloud labs are quietly losing money on their best customers. From inside a hybrid practice, here's what the local share looks like and why it's growing.
I assumed a specialized vision model would win. I was wrong. A head-to-head on a hard handwriting corpus ended with the general-purpose MoE on top.
How I run a multimodal LLM on four-year-old hardware to read a family archive without sending anything to the cloud.
I have three collections of family letters spanning a century. Until recently, reading them properly would have taken years. Now it takes an afternoon.