How?!! Xiaomi has just released their new OPEN SOURCE model MiMo-V2.6-Pro: - multimodal text/image/audio/video - score ~ same as GPT-5.6-Sol Max - 9x cheaper input tokens - 23x cheaper output tokens 💀 Also about 20x cheaper than Opus 5... and the weights are already on Hugging Face. Hard to see how closed labs will keep up.

How?!! Xiaomi has just released their new OPEN SOURCE model MiMo-V2.6-Pro: - multimodal text/image/audio/video - score ~ same as GPT-5.6-Sol Max - 9x cheaper input tokens - 23x cheaper output tokens 💀 Also about 20x cheaper than Opus 5... and the weights are already on Hugging Face. Hard to see how closed labs will keep up.

That's crazy when you think about it Qwen 3.8 27B is smarter than Opus 4.6 which was the absolute best model you could use 6-7 months ago. And now we have this Bonsai 2 retaining 98%+ of its intelligence... While weighing ONLY 5.9 GB 🤯 Intelligence density is absolutely crazy. Everyone has frontier intelligence at home now.

Friendly reminder that you can fine tune 500+ open source models in a free Google Colab You can even upload PDFs/CSVs and turn them into usable synthetic datasets. 1. Open the Google Colab below 2. Run the blocks to install Unsloth Studio 3. Choose a model 4. Upload a dataset 5. You're good to go! And you can of course export your model afterwards.

Since they want to "pace" models but in reality it seems more like they're trying to stop open source... Do yourself a favor and download this uncensored one asap And run it locally

Since they want to "pace" models but in reality it seems more like they're trying to stop open source... Do yourself a favor and download this uncensored one asap And run it locally

a big part of the team’s focus when building muse was to make something that “just worked”. so much work went into all the little details to make the product simple and easy-to-use. been awesome to see so many people from different walks of life find muse useful!

Wait Google might have killed 100s of startups You can now turn any Google Sheets into an app and the sheet is basically its database 🔥 And it's not just to visualize data but also inputing new things. Really powerful. Steps to use it: 1. Click on the Gemini icon on the top right 2. In the settings hit "Create canvas" 3. Describe the app you want And you're already done.

Ok this small local model is sooo good MiniCPM5-2B has only 2B parameters (!!) and can run agents on any laptop or even your phone fully offline. This 100% open source model can perform coding/agentic/tool use tasks and can run on just 2GB RAM! And it's genuinely good even in Hermes agent! I asked it to: - Go to Hugging Face - Find the Models section - Evaluate models across multiple criteria - Create a CSV with the top 15 It did it! In the Artificial Analysis Intelligence Index v4.1.1 results cited in the official release, MiniCPM5-2B scores 23 and ranks #1# among open-source models under 4B parameters. So it's not about the size of the model anymore but way more the density of intelligence: Researchers from Tsinghua University and ModelBest proposed the “Densing Law”: the maximum capability density of open-source pretrained base models roughly doubled every 3.5 months over the period studied! And what's also interesting is that OpenBMB's open-source approach goes beyond just releasing model weights with - Selected training methods - Agent-related data - Data refinement resources Also being opened up, including the RL stack with Meshy + JustRL II. This model even outperforms some models around 6x larger on selected evaluations such as GDPval-AA v2!

Ok this small local model is sooo good MiniCPM5-2B has only 2B parameters (!!) and can run agents on any laptop or even your phone fully offline. This 100% open source model can perform coding/agentic/tool use tasks and can run on just 2GB RAM! And it's genuinely good even in Hermes agent! I asked it to: - Go to Hugging Face - Find the Models section - Evaluate models across multiple criteria - Create a CSV with the top 15 It did it! In the Artificial Analysis Intelligence Index v4.1.1 results cited in the official release, MiniCPM5-2B scores 23 and ranks #1# among open-source models under 4B parameters. So it's not about the size of the model anymore but way more the density of intelligence: Researchers from Tsinghua University and ModelBest proposed the “Densing Law”: the maximum capability density of open-source pretrained base models roughly doubled every 3.5 months over the period studied! And what's also interesting is that OpenBMB's open-source approach goes beyond just releasing model weights with - Selected training methods - Agent-related data - Data refinement resources Also being opened up, including the RL stack with Meshy + JustRL II. This model even outperforms some models around 6x larger on selected evaluations such as GDPval-AA v2!

So Alibaba has released Qwen-3.7-Max… and it’s really good. You can connect it easily to Hermes Agent or OpenCode to basically replace GPT-5.5 or Opus 4.7. - 3.3x cheaper output vs Opus 4.7 - 4.0x cheaper output than GPT-5.5 (And 2x cheaper input compared to both) Everything you need to get started in post below