Today’s Lesson: Making Open-Source Models Fun By building tech to quickly transform any OSS model into a high-EQ Character, we can now ship better, more entertaining experiences faster than ever. Since testing our updated models, we’ve seen: 22% increase in time spent 13%
OPEN SOURCE
-
Weekly AI Roundup: Runway, Grok, Qwen, ElevenLabs and More
By
–
One last week of madness in AI: – Runway Game Worlds
– Grok 2.5 Open Source
– Qwen Image Editing Model
– ElevenLabs: from video to music
– Highsfield: from product to video
– NanoBanana debuts on LMArena
– Google AI launches Agentic Mode -

French Students Open-Source LFM2 Language Model Finetune
By
–
Really impressed by the French finetune of LFM2 made by two students. They created a solid post-training pipeline (FFT + merging) and open-sourced all the code and data. Amazing work by Sinoué Gad and Maxence Lasbordes!
-
Reasoning Models Outperform: Inference-Time Compute Advantage
By
–
Key insights:
Reasoning > non-reasoning models. Better living through inference-time compute!
Smaller open-weights models struggle without fine-tuning or other post-training optimization
SnorkelWordle is a strong signal for evaluating reasoning, especially in smaller models -
Pydantic Code Pattern Implementation Insights
By
–
I've not looked at this in a while but Pydantic published code that uses a similar pattern to mine here:
-

Linus Torvalds announces Linux project anniversary in 1991
By
–
Today in 1991, 21-year-old Linus Torvalds announced in a newsgroup that he was working on a free operating system that later came to be called Linux. http://
bit.ly/2ZjgGtO -
100+ Free Open Source AI Agents and RAG Tutorials
By
–
Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
-

Graph Machine Learning 2nd Edition: PyTorch Examples Released
By
–
2nd Edition — New release! Order now at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch -
Update Codex CLI to Latest Version 0.23.0
By
–
Looks like you’re probably not on the latest version of Codex CLI (current is 0.23.0). Try upgrading with either brew or npm: ❯ brew update && brew upgrade codex
❯ npm i -g @openai/codex@latest -

Stanford releases free LLM and Transformer learning cheatsheets
By
–
Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers! These cheatsheets cover: • Self-attention, Flash Attention, LoRA, SFT
• Mixture of Experts, Distillation, Quantization
• RAG, Agents, LLM-as-a-judge 100% Free and Open Source