Edge AI and why on-device ML is the privacy answer

Wrote a longer piece on this, but the tl;dr is that moving inference onto the device changes everything — latency aside, it's the only clean answer to the privacy problem.

For a lot of use cases you genuinely don't need a server round trip. Models are getting small and fast enough that the tradeoff is shrinking fast.

Anyone here shipping on-device models already? Curious about your experience with quantized models and battery impact.

I wrote this up in more detail in the full blog post — Edge AI: Why On-Device Machine Learning Is the Future — with the deeper context, data, and code. Give it a read if you're curious.