CalmStorm

Huawei claims that they can reach 1.4nm by 2031. Does that mean EUV is no longer required for this process?

For the first time, it introduced native sparse attention into the full training process, achieving up to 11× inference speedup while maintaining model performance.

LLaSA is a simple framework for speech synthesis that employs a single-layer vector quantizer (VQ) codec and a single Transformer architecture to fully align with standard LLMs such as LLaMA.

I don’t quite understand why OpenAI would pay so much when there’s a solid open-source alternative like Cline. I tried both, and feel that Cline with DeepSeek v3 is comparable to Cursor and more cost-effective.

If it achieves its goal of both “safe” and “super intelligence”, it may have commercial value. e.g. enterprises may want to use it instead of, e.g. OpenAI’s ChatGPT. Think of recent AirCanada’s chatbot law suit.

For modern CPU, is microcode still used for division or there are better and faster alternatives?