# Mar 30, 2025

- **Claude 3.5 Haiku** demonstrates advanced capabilities, such as **multi-step reasoning** and **poetic planning**, revealing its internal processes through attribution graphs, which enhance our understanding of model behavior.

- **Certified randomness** was achieved using a **56-qubit trapped-ion quantum processor**, demonstrating the potential for practical applications in cryptography and secure communications through a novel protocol that combines quantum and classical computing methods.

- The **first LLM**, according to Jeremy Howard, is _ULMFit_, a self-supervised LSTM model trained on Wikipedia, which laid the groundwork for subsequent models like GPT-1 that utilized the transformer architecture for enhanced performance.

- **DeltaProduct** enhances **state-tracking** in linear RNNs by utilizing **multiple steps** of online gradient descent per token, leading to improved expressivity without sacrificing efficiency.

- **Lumina-Image 2.0** introduces a **unified transformer-based architecture** that efficiently handles **text-to-image generation**, image editing, inpainting, and outpainting, utilizing a novel **Multiple Sampling with Iterative Refinement (MSIR)** technique to enhance image quality without added computational costs.

- **TextGrad** introduces a novel framework that **optimizes generative AI** by backpropagating feedback from large language models (LLMs), enabling automatic improvements across various tasks, including science problem-solving and treatment planning.

- **UI-R1** innovatively combines **rule-based reinforcement learning** with **large language models** to enhance GUI agents, enabling them to learn from mistakes and adapt to new interfaces effectively.