Yep! You can even do it entirely w/o any closed-source models in the loop! In the demo above, it was powered entirely by Kimi, Deepseek, and Qwen.
OPEN SOURCE
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AutoRL: Train AI Models for Any Task via GitHub
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If you'd like to try it or contribute, check out the Github repo and notebook: https://
github.com/OpenPipe/ART/t
ree/auto-rl?tab=readme-ov-file#-autorl-train-models-for-any-task
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AutoRL: Simplest Way to Train Task-Specific LLMs
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Introducing `AutoRL` 📈
— Matt Shumer (@mattshumer_) 30 juillet 2025
The world's simplest way to train a task-specific LLM with RL.
*Just write a SENTENCE describing the model you want.*
A chain of AI systems will generate data + rubrics and train a model for you.
Powered by ART, it's open source.
Link in thread: pic.twitter.com/OVxe2hWTZYIntroducing `AutoRL` The world's simplest way to train a task-specific LLM with RL. *Just write a SENTENCE describing the model you want.* A chain of AI systems will generate data + rubrics and train a model for you. Powered by ART, it's open source. Link in thread:
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AutoRL: Automated Reinforcement Learning for Model Generation
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How AutoRL works, in a nutshell: – The user describes the model they want
Ex: "A model that detects spelling and grammar errors" – OSS models generate a system prompt that will be used a) to generate, and b) for RULER to rank outputs – We generate input data, and RL a model! -
Cipher: Coding Agent Tool Supporting Multiple IDEs and Platforms
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Cipher is built for coding agents. It works with Cursor, Windsurf, Claude Desktop, Claude Code, Gemini CLI, AWS Kiro, VS Code, Roo Code (via MCP), and even agents like Kimi K2. GitHub Repo: https://
github.com/campfirein/cip
her
… Don't forgot star the Repo! -

Installing Cipher and Setting Up Your Environment
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First let's install Cipher and set up your environment: • Install globally: npm install -g @byterover/cipher
• Add .env with your provider (we’ll use Ollama for local embeddings, but OpenAI/Gemini also work)
• Create memAgent/cipher.yml to define your model + system prompt -
Cipher: Open-Source Memory Layer for Coding Agents
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We’ll use Cipher, an open‑source memory layer for coding agents. You can run Cipher as an MCP server so coding agents like Claude Code, Gemini CLI, or plugins for VS Code, Cursor, and Windsurf can connect directly and use its memory layer out of the box
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Montreal AI Releases AGI-Alpha-Agent v0 Open Source
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[ “We Choose to Ascend with AGI” ] GitHub : https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… #AGI #AGIALPHA #ASIFirst -

Stanford’s AI Scientists, Meta’s Recruitment, and New AI Tools
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Top stories in AI today: – Stanford’s AI-powered virtual scientists
– Meta targets Murati's startup with massive offers
– Build apps with leading open-source AI
– ChatGPT’s Study Mode for deeper learning – 4 new AI tools & 4 job opportunities Read more: https://
therundown.ai/p/stanfords-vi
rtual-ai-lab-speeds-discovery
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