The AI intelligence layer
The important breakthroughs, launches, and shifts — tracked, explained, and placed in context.
Real developments.
Deeper perspective.
Brighter possibilities.
Briefs, model releases, chip announcements and timeline entries, newest first.
Evergreen explainers, maintained rather than published once.
The companies designing the chips AI runs on — what they actually make, and whether you could ever buy it.
7 of 12 companies here design AI silicon you cannot buy.
Apple
AAPL
The Neural Engine — an on-device NPU at consumer scale
Captive
9 chips
Google
GOOGL
The TPU — the leading non-NVIDIA AI training and inference accelerator
Captive
6 chips
Qualcomm
QCOM
Hexagon NPU — on-device AI in Snapdragon, now scaled to rack-level inference
Merchant
5 chips
MediaTek
2454
Dimensity NPU — high-volume edge AI across mainstream Android
Merchant
3 chips
Amazon
AMZN
Trainium and Inferentia — the largest cloud-captive alternative to NVIDIA
Captive
AMD
AMD
Instinct accelerators on ROCm — the open alternative to CUDA
Merchant
Key moments. A clearer picture.
The US government argues transformative public benefit outweighs publisher harm.
The fleet passes 4,000 vehicles across fourteen US metros.
Public markets price a Chinese humanoid firm above Western rivals.
The lab that triggered the price war releases a premium-priced model.
Paid service begins in Las Vegas under a federal exemption.
We track AI developments not just to report what’s new, but to explain what it means — for industries, economies, and the future.
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