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Apple’s Desperate AI Shortcut: Cramming a 27B Model Into Your iPhone

Apple is reportedly in talks with startup PrismML to compress a 27-billion-parameter AI model from 54GB to under 4GB, aiming to run GPT-class intelligence directly on iPhones. Here’s why skepticism is warranted.

#AI Compression#model quantization#On-Device AI...

M7 Chip

Apple’s M6 Sacrifice: Why Skipping Pro Chips Is a Bet on On-Device AI

Apple skips M6 Pro and Max chips to fast-track the AI-focused M7. What this means for local inference, memory bandwidth, and the future of Mac.

#M7 Chip#Mac#On-Device AI

local inference

The Cloud Is Now Optional: Running Qwen 3.5 on WebGPU and Mobile Silicon

Technical deep dive into running Qwen 3.5 models locally on WebGPU browsers and Android devices without cloud dependencies.

#local inference#mobile LLMs#On-Device AI...

Google Gemini

The Gemini 3 Flash Whisper Network: How Big Is It, Really?

Rumors place the new model north of a trillion parameters, but can your MacBook even dream of running it? We dissect the evidence.

#Google Gemini#Large Language Models#On-Device AI