exacube

Are majority of the perf gains really from tuning from the kernel's `page_reporting_order` param?

Fuchsia shipped to many millions of devices today as an OTA in 2021. What do you mean finished?

IME 3.1 Pro still has better system-instruction following than Flash 3.7, esp. when there're many conditions and clauses. 3.1 also writes better prose for technical material than Flash 3.7.

Once the system prompt complexity goes up, Flash starts to write very dense english. it might be fine for tasks like coding, but not for user-facing text meant to be digested by the average person.

I haven't tested 3.8 on my workload yet.

plug: studymode.ca/ml is an AI-generated cirricculum + chapters/lessons that teaches ML by building practical projects

the lessons have svg diagrams, ai chat inline (google docs), etc

apologies if this comes off as slop, but its been working great for me.

I'm finding Gemini 3.7 speaks a lot more academically. Its explanations are not clear and intuitive by default.

Maybe this has to do with all the RLVR it went through, where reasoning through difficult academic/coding problems caused it to think and speak a certain way.

The benchmarks looks great but it doesn't feel as legible, so maybe it's more meant to be an agentic model rather than an everyday model whose outputs are read by humans?

does anyone know how well this 5x petaflop improvement translates to real world performance?

I know that memory bandwidth tends to be a big limiting factor, but I'm trying to understand how this factors into it its overall perf, compared to blackwell.

it does; thanks so much, appreciate it!

would love to see some comparison numbers to Gemini and Claude, especially with this claim:

"The most advanced agentic coding model for professional software engineers"

the only constant is HN's styling.

yes that'd be great!

and if the price could somehow include the shipping rate to the country, that'd be awesome

Doesn't Ontario's IESO also do this?