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.

Two weeks ago @real_philogy and I joined Solidity's *PUBLIC* team call to discuss the new release + compiler and it was quite fun. You tried the new SSA-CFG solidity pipeline? Or got a problem in the new release? Go talk about it 🗓️ TOMORROW - 3PM CET

Hey, folks! We have been blown away by the response to SubQ and the SSA breakthrough over the last 48 hours. It is awesome to see how many people are responding to our mission of creating more efficient algorithms to create better models. We are working hard to firm up our release timeline and will share more very soon. We will also share additional data and third-party validation in our model card next week. If you have questions, please post them in the thread, and I'll do my best to respond! Above all, THANK YOU! The support, feedback, and discussion from this community have been inspiring.

What should be the KPI every solidity compiler team should track that app builders care about? My shortlist: 1. Compile times speed vs solc 2. Solves stack too deep 3. Bytecode size vs solc 4. Security (bit vague) Btw have you tried out any of the new compilers? ---- The compilers: Solc The one we all use. Solc --via-ir ✅ production ready 😀 solves stack too deep ☹️ compile times 10x slow - so almost no one uses it Solc --experimental SSA-CFG ⚙️ experimental mode 😀 solves stack too deep Compile times and bytecode size - TBD. ❗️looking for people to try it out! solx 🛠️ building. By @NomicFoundation + @the_matter_labs 😀 solves stack too deep 😀 decent compile times + bytecode size! ❗️looking for people to try it out! solar 🛠️ building. By @paradigm Too early to tell but fast compile times and stack too deep problem is promised to be solved!