Qwenputing -- A Revolutionary Advancement for LLMs?

Reddit r/ArtificialInteligence Models

Summary

A user shares excitement about Qwenputer, a novel approach that turns a standard LLM architecture (Qwen3.5-4B) into a file system, a computer, and a new type of memory, hailing it as a potentially revolutionary step beyond the Transformer.

I saw Qwenputer in my news feed today, and if this is all real, it seems like a huge leap in LLM design. Like the next major innovation after the Transformer even. So I just wanted to share it here. This approach has turned a normal LLM architecture into both a File System, a Computer, and a new type of Memory. I doubt this work was done by a human, but that's just my hunch. (not to detract from the author himself who obviously deserves plenty of credit too). https://modelscope.ai/models/Spartan1925/Qwen3.5-4B-Qwenputer-Filesystem https://x.com/divagr1925/status/2115394340357116169?a=P-0meY55_guPySKLR_g&s=20
Original Article

Similar Articles

Anyone else amped up over Qwen 3.8?

Reddit r/LocalLLaMA

The author shares excitement for the upcoming Qwen 3.8 model, highlighting their experience with Qwen 3.6 27B for local LLM use, and discusses the potential of self-hosted AI to replace subscription-based frontier models.

Local LLM / Qwen 3.8 win

Reddit r/LocalLLaMA

The author describes using Qwen 3.8 in a coding interview, where it outperformed GLM Flash and helped them ace the interview.

The Qwen 3.6 35B A3B hype is real!!!

Reddit r/LocalLLaMA

The author benchmarks small local LLMs, highlighting Qwen 3.6 35B A3B for its superior ability to map academic code to research papers compared to models like Gemma 4 and Nemotron 3 Nano.