Not much (in AI) happened this weekend

**OpenAI** introduced an "edit this area" feature for image generation, praised by **Sam Altman**. **Yann LeCun** highlighted a NYU paper improving pixel generation with feature prediction loss using pre-trained visual encoders like DINOv2. Long-context LLMs such as **llama-3.1-8b** and **llama-3.2** variants now support up to **131k tokens**, offering alternatives to RAG systems. **Bindu Reddy** announced AI agents capable of building and deploying code from English instructions, signaling AI's replacement of SQL and potential impact on Python. SpaceX's successful **Starship rocket catch** was celebrated by **Andrej Karpathy** and others, with **Soumith Chintala** praising SpaceX's efficient, low-bureaucracy research approach. Privacy concerns arose from **Harvard** students' AI glasses, I-XRAY, which can reveal personal information. **Meta AI FAIR**'s Movie Gen model advances media foundation models with high-quality text-to-image and video generation, including synced audio. Humanoid robots like **Ameca** and **Azi** now engage in expressive conversations using **ChatGPT**. **xAI** rapidly deployed **100K Nvidia H100 GPUs** in 19 days, with CEO Jensen Huang commending Elon Musk. Leading AI research labs compared include **Meta-FAIR**, **Google DeepMind**, and **Microsoft Research**. Skepticism about LLM intelligence was voiced by **Sam Pino**, emphasizing limitations in novel problem-solving despite strong memorization.