Beyond on-device AI
The headline is simple. The second-order effects are not.
The pitch for on-device AI is straightforward. The part that gets left out is the operational bill, which arrives in a different department.
Subscriber story
Continue reading with a subscription
This piece is part of the subscriber archive. Subscribe to the daily brief for full access — one email, no card, cancel any time.
Already a subscriber?
#datasets#training#licensing
More in this section
ai
Why small models are winning on-device
Four-bit quantization plus better distillation is making 3B models genuinely useful in production.
🔒aiSubscriber
Synthetic data is hitting a wall nobody wants to name
Model collapse is real, but the more immediate problem is boring: attribution and licensing.
🔒aiSubscriber
The open-weights licence split is becoming permanent
Two families of licence, two incompatible expectations, and a lot of downstream confusion.