i really like this project and it’s increasingly looking like open (source) ai is synonymous with chinese ai
OPEN SOURCE
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Rembrandt-2 Face Generation Model Shows Promising Early Results
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Rembrandt-2, the next iteration to Rembrandt-1, is a powerful face image generation model, which is still under training, and here are some results with 15% of the total training steps. The results look awesome! I will share the source code for both Rembrandt-1 and Rembrandt-2 on Github, alongside the trained weights, as this is an open model. Please note that, this is not the full trained model and the images have artifacts, it's just 15% of the total training steps, so this is not a right time to judge. Rem2 is still undertraining.
→ View original post on X — @scobleizer, 2026-04-09 10:23 UTC
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Red Hat maintainers collaborate on open source projects
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We have maintainers from Red Hat and I sit next to her.
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Gemma 4: Powerful Free AI Available Locally, Yet Unknown
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Having a model like Gemma 4, which is perfectly adequate for everyday use in many cases, runs locally, is free, and secure, still feels unreal. We have a very good AI that costs nothing, uses hardly any power, and is always there. I think that's simply fantastic. The only problem is: 99% of people have never even heard of it.
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Awesome ChatGPT Prompts Repository – Open Source Community Project
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repo link: → github.com/f/awesome-chatgpt… website: → prompts.chat/prompts Shoutout to @fkadev for building this and making it open-source for the community 🤗 Don't forget to drop a ⭐️ on to help boost visibility!
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Free GitHub repo with 155k stars for ChatGPT prompts
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if you're still starting your ChatGPT convos with "please help me…", you're working way too hard 😄
— Charly Wargnier (@DataChaz) 9 avril 2026
There's a FREE GitHub repo at 155k stars that gives you thousands of perfectly curated prompts so you can get exactly what you need.
links below ↓ pic.twitter.com/o6zLUHZ0wNif you're still starting your ChatGPT convos with "please help me…", you're working way too hard 😄 There's a FREE GitHub repo at 155k stars that gives you thousands of perfectly curated prompts so you can get exactly what you need. links below ↓
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Multica adds support for Nous Research Hermes Agent deployment
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Multica will support @NousResearch Hermes Agent this week.
— Jiayuan (JY) Zhang (@jiayuan_jy) 9 avril 2026
Soon, you'll be able to deploy an army of Hermes Agents to boost your business. https://t.co/UzvUGviNl4 pic.twitter.com/MwodPz6sePMultica will support @NousResearch Hermes Agent this week. Soon, you'll be able to deploy an army of Hermes Agents to boost your business. Jiayuan (JY) Zhang (@jiayuan_jy) We created the open source version of Claude Managed Agents. Introducing Multica github.com/multica-ai/multic… — https://nitter.net/jiayuan_jy/status/2041970269372518877#m
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GLM 5.1 Leads Open Source Model Leaderboard
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GLM 5.1 TOPS THE OPEN SOURCE LEADERBOARD 🚀🚀
— Bindu Reddy (@bindureddy) 9 avril 2026
GLM 5.1 is the new open source leader and is comparable to closed source models like Opus and GPT 5.4
Open source is catching up to closed source every day and GLM 5.1 performs really well on both the coding and the agentic… pic.twitter.com/9TSKSNs8VpGLM 5.1 TOPS THE OPEN SOURCE LEADERBOARD 🚀🚀 GLM 5.1 is the new open source leader and is comparable to closed source models like Opus and GPT 5.4 Open source is catching up to closed source every day and GLM 5.1 performs really well on both the coding and the agentic benchmark An excellent option for coding agents and open claw!
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US labs abandon open weights, Chinese labs key
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The US frontier labs have all walked away from open weights. They continue to occasionally release excellent open models (Gemma 4, etc), but they are smaller models that are not competitive with their closed weights models. So all eyes are on Chinese AI labs for open models.
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Open questions about RSI, LLM gains, Chinese models, and open weights
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Lots of open questions: is RSI indeed happening at the Big Three labs? How long can the exponential of LLM ability gain last? How much do Chinese models rely on distillation, and can they keep pace given chip constraints? Will there continue to be frontier open weights models?