Model Releases
The small open weight models are scarier in AI development
Imagine if your everyday laptop could run an AI model smart enough to take care of 90% of your work—totally private, lightning fast, and completely free of monthly fees. That is the exact tipping poin
Imagine if your everyday laptop could run an AI model smart enough to take care of 90% of your work—totally private, lightning fast, and completely free of monthly fees. That is the exact tipping point of history where the AI bubble bursts completely. I bet this is the nightmare for OpenAI and Anthropic. Not everybody has resources to host big open weight models, but everybody can host small ones like Qwen 3.6. Are we reaching there soon 🔜 submitted by /u/Informal-Trouble2183 [link] [comments]
Related
- Cactus Hybrid: We taught Gemma 4 to know when it's wrong
- With release of Deepseek V4 I wanted see how the model sizes are trending over time. The trend is that by this time next year, we probably will have Opus 4.5 level models on consumer grade laptops!
- Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
- Introducing Muse Glimmer: an open-weight model optimized for always-on local agent workflows
- Deepseek V4 Flash is now ~#2 open weight model to Kimi K3 and >50x cheaper
Source: r/LocalLLaMA | 2026-08-11