# Apr 19, 2025

- **Packing Input Frame Context in Next-Frame Prediction Models for Video Generation**  
  - **FramePack** enables the diffusion of **thousands of frames** at **full fps-30** using **13B models** on a **6GB laptop GPU**, showcasing its efficiency in resource management.

- **OpenAI's new reasoning AI models hallucinate more**  
  - OpenAI's **o3 and o4-mini models** exhibit a **higher hallucination rate** than previous models, with o3 hallucinating **33%** of the time on PersonQA, nearly double that of its predecessors.

- **AI-Designed Antivenoms: New Proteins to Block Deadly Snake Toxins**  
  - **AI-designed proteins** effectively neutralize snake venom toxins, addressing a critical public health issue where **2 million** people suffer from snakebites annually, leading to **over 100,000 deaths**.

- **Principles for Building One-Shot AI Agents**  
  - **One-shot AI agents** automate complex code maintenance tasks without human intervention, leveraging static analysis and dependency updates to enhance efficiency and accuracy in software engineering workflows.

- **Inside ArXiv**  
  - **arXiv**, created by Paul Ginsparg, revolutionized scientific communication by allowing researchers to share **preprints** instantly, bypassing traditional peer review, which can take months, thus accelerating the dissemination of knowledge, especially during crises like the Covid pandemic.

- **Ink and Switch Constraint System (2023)**  
  - The **constraint system** developed in phase 2 aims to unify key aspects of dynamic mediums, enabling **mechanical constructions** and **bidirectional computation** while addressing issues like “floaty-ness” and “blow-ups” that hinder performance.

- **How to Write a Fast Matrix Multiplication from Scratch with Tensor Cores**  
  - **Optimized matrix multiplication** using Tensor Cores on NVIDIA Tesla T4 GPUs can achieve up to **96% of cuBLAS throughput** for large matrices, demonstrating significant performance improvements through techniques like hierarchical tiling, swizzling, and double buffering.

- **Inferring the Phylogeny of Large Language Models**  
  - **PhyloLM** adapts **phylogenetic algorithms** to analyze **Large Language Models (LLMs)**, revealing their interrelations and predicting performance metrics based on output similarity.

- **[R] Biologically-inspired architecture with simple mechanisms shows strong long-range memory (O(n) complexity)**  
  - The new **biologically-inspired architecture** demonstrates **strong long-range memory** capabilities with **O(n)** time and memory complexity, achieved through simple mechanisms akin to signal accumulation.

- **[P] How to handle highly imbalanced biological dataset**  
  - **Handling highly imbalanced datasets** in biological research, such as a peptide epitope dataset with **1 million non-epitope** versus **300 epitope peptides**, requires advanced techniques beyond simple oversampling and undersampling.