A quiet weekend

**Yann LeCun** predicts a shift to **AR interfaces** with AI assistants in 10-15 years, moving away from smartphones. The **Dolphin-2.9 model** based on **Llama-3** was released, improving quality issues. **PixArt Sigma**, a **0.6B parameter** model, achieves **Stable Diffusion 3.0** level performance with complete prompt adherence and local usability. Research shows transformers can use meaningless filler tokens for algorithmic tasks with dense supervision. AI-generated restaurant reviews can pass the **Turing test**, fooling humans and AI detectors. **Uber** uses graph algorithms and learned embeddings for ETA prediction. **Coca-Cola** and **Microsoft** announced a 5-year AI partnership to accelerate cloud and generative AI initiatives. The **Llama-3 70B** model can run on a single 4GB GPU using **AirLLM** optimization without quantization but is slow. **Mistral.rs** is introduced as a fast LLM inference platform with quantization and OpenAI API compatibility. Only 5% of LLMs make it from prototype to production due to challenges, especially in enterprise. EXL2 and GGUF quantization methods for Llama models show similar perplexity vs model size, with Llama-3 and Llama-2 degrading more under quantization compared to full precision.