rkagerer on I Reverse-Engineered the TiinyAI Pocket Lab from Marketing Photos · Hackerly

Comment on I Reverse-Engineered the TiinyAI Pocket Lab from Marketing Photos parent

I don't see a single occurrence in the article of the word "isn't".

That means the lock-in isn’t just product strategy. It’s also architecture.

And that omission isn’t some harmless simplification. It’s the entire trick.

It isn't just once. It's—twice. ;)

Also stuff like this:

That’s not exotic. That’s just model parallelism with extra suffering.

That’s not product magic. That’s a checkbox.

What really triggers my internal AI slop detector is this:

Their renders. Their prototype shots. Their exploded views. Their spec sheet.

Nobody asked what silicon was inside. Nobody asked how 120B on LPDDR5X was supposed to work. Nobody spent

No cloud. No GPU. No subscriptions.

wrong class of chip, wrong power envelope, wrong everything

The visual geometry matches. The licensing model matches. The China-based semiconductor ecosystem match

Real researchers. Real papers. Real contributions.

LLMs love to overuse this pattern.

This also smells of an autoregressive model trying to make a point that TiinyAI simply forked another repo and claimed as their own invention, before realizing mid-paragraph it's by the same people:

So no, TiinyAI did not “launch” PowerInfer. SJTU researchers did.

TiinyAI’s GitHub repo is a fork of the original PowerInfer repository. At least one of the original academic authors appears tied to the code history. So there is clearly some real overlap between the research world and the product world.

Oof, thanks! (I'm going to blame it on my Android Chrome "find in page" tool not working as expected, and I apologize)