Hacker News Reader

There are a few edge models, Spark-X2.5-4B, LFM2.5- in 8b-a1b and 2.6b variants, that are useful for on-device agent-y stuff, but I am doubtful that’s a valuable category. How many iPhone users have never opened Shortcuts in their life? Automating on-phone stuff seems niche.

I don’t expect the economics of local vs cloud ai to change until either the bubble pops or new ai chips land that can run big models fast with low power demand.

View on HN

I think the interesting question is whether the average consumer cares? a 4B model should hit roughly the same numbers as GPT5.5 sometime in December/March. That is more than capable of performing a variety of complex work tasks.

Skeptical 4B will ever rival GPT5.5, with its estimated 1.5-10T parameters.

You just can’t compress 1.5T into 4B without losing useful stuff.

But that doesn’t matter that much. If 4B can compose tools, retrieve info, and not get stuck in loops that is going to handle a lot of use cases

Reply on news.ycombinator.com