Today AI Trends on Reddit — 03/11/2026

Today AI Trends on Reddit — 03/11/2026

Top 8 posts across 8 AI / homelab subreddits — 03/11/2026.

• Official Statement: Qwen Models Will Stick to Open Source to the End! (r/LocalLLaMA · 3596 pts · 359 comments)
  Qwen issued an official statement denying rumors that Qwen4 would be its last open-weight series. Qwen head Liu Dayi Heng says future Qwen 4.0 and Qwen 5.0 will remain open source, citing AI for all; Qwen reports over 3 billion downloads, 460-plus open-source models, and 300,000-plus derivatives.
• MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training. (r/singularity · 1072 pts · 136 comments)
  MIT researchers reportedly say GPT-6 Astra raised a small Qwen model's math score from 7.9% to 48.1% by directly editing only 0.016% of its weights without gradient-based training. Commenters call the result wild and discuss weight-space learning, RSI, and future hardware.
• Sam Altman: "At the start of this year, AI was mostly not as smart as our smartest scientists, and now it's mostly smarter than them." He also says AI can now perform large parts of white-collar jobs that were beyond its capabilities earlier this year. (r/singularity · 906 pts · 706 comments)
  Sam Altman says AI at the start of the year was mostly less smart than the smartest scientists and is now mostly smarter, and that it can perform large parts of white-collar jobs previously beyond it. Commenters call for UBI, warn of societal incompatibility, and joke about Altman coverage.
• "When we proved the first Millenium Prize problem, it was 10000 agents of the model that is gonna be released soon, the next GPT, working for about 4 days" (r/singularity · 706 pts · 245 comments)
  The post shares a video quote claiming the first Millennium Prize problem was proved by 10,000 agents of the soon-to-be-released next GPT working for about four days. The body contains only a YouTube link, so no further details are provided.
• Amazon Is Allegedly Canceling GPU Orders And, In Rare Cases, Closing Accounts For Purchasing Compute Hardware; Tim Sweeney Also A Victim Of This Practice (r/LocalLLaMA · 415 pts · 105 comments)
  Amazon is allegedly canceling GPU orders and in rare cases closing accounts for buying compute hardware, with Tim Sweeney also reportedly affected. Commenters speculate about AI export restrictions; one says ASUS GB10 orders were canceled in early August and bought a pair on eBay for 7.8k.
• [Release] ISTA DeepSeek-V4.1-Flash-1017 GSQ-RCO Coder: a 763B model at 1 bit per parameter (r/LocalLLaMA · 322 pts · 75 comments)
  The release presents ISTA DeepSeek-V4.1-Flash-1017 GSQ-RCO Coder, a 763B sparse mixture-of-experts model at about 1 bit per parameter. It keeps 192 of 384 experts per layer, uses 72.1 GB of transformer weights versus 138.2 GB unpruned, and shares a 110.6 GB Engram file.
• Not another tok/s post: local quants vs Claude on 9 real bugs (r/LocalLLaMA · 308 pts · 136 comments)
  The post compares local quants with Claude on nine real C++/CUDA bugs from a private engine history, running capy-flash on 2x RTX 5070 Ti 16 GB, Ryzen 9900X, and 96 GB DDR5. Tasks are sandboxed on a Mac without network or CUDA, with 80 steps max and three runs per task per model.
• Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights (r/LocalLLaMA · 299 pts · 59 comments)
  The post discusses LLMs natively reading and writing neural-network weights, framed as sparks of weight-space programming. Commenters call for replication and describe asking Opus 5.5 to try it; one notes LFM3 is a similar system but they lack access to their own weights or activations.