TechnicalAI glossary
On-device AI
An AI that runs directly on the device (phone, glasses, computer) rather than on remote servers: faster responses, offline operation, and data that stays with you. Conversely, offloaded computing sends each request to the cloud or a paired device, such as glasses that rely on the phone.
In other words
Cooking in your own kitchen rather than having every meal delivered: less power, but no waiting and nothing leaves your home.
Alyriaz articles that mention it
- What is "quantization"? The compression that fits a giant model on your machine
Quantization involves storing a model's parameters with less precision, which significantly reduces its size and hardware requirements. We explain the mechanism, common levels, and where the acceptable limit lies.
- Apple would reportedly pause its smart glasses over privacy concerns.
Apple has reportedly slowed its smart glasses project due to privacy concerns, according to information reported in late July 2026. We analyse this retreat, the question no one else tackles head-on, and what it changes in a race where China already holds nearly half the market.
- How Apple fits a 20-billion-parameter model into an iPhone
Apple unveiled its third generation of foundation models in June 2026, including AFM 3 Core Advanced: 20 billion parameters that run on a phone by activating only a fraction of them. We explain the technical trick of instruction-guided pruning, and what it signals for on-device AI.
- AI glasses, the new battlefield: Samsung makes its move tomorrow, China has already taken the lead
On 22 July 2026, Samsung unveils its first Galaxy Glasses powered by Gemini, to compete with Meta's Ray-Ban. But the real story lies elsewhere: Chinese manufacturers, led by Xiaomi and Alibaba, are expected to account for 45% of the global AI glasses market in 2026. A full overview of a battle where artificial intelligence replaces the screen.