
Harshith
9.7K posts

Harshith
@harshithio
23, Head of Growth @getjustpaid (@ycombinator W23) | Council Member @ForbesTechCncl | Crypto Native | Vibe Coder


Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.






software engineers before vs after agents


software engineers before vs after agents
















