# Major Updates in AI and Computing

## Highly realistic talking head video generation
- **Hallo**, developed by Fudan University and collaborators, introduces a **hierarchical audio-driven approach** for animating portrait images, leveraging a blend of **pretrained models** and **custom algorithms**. [Paper](https://arxiv.org/pdf/2406.08801)

## Can language models serve as text-based world simulators?
- **Language models**, like GPT-4, **struggle to reliably simulate text-based worlds**, indicating a gap between current capabilities and the potential for autonomous virtual environment creation.

## NumPy 2.0.0
- **NumPy 2.0.0** has been released on **June 16, 2024**, marking a significant update to the fundamental package for array computing in Python.

## OpenAI and Microsoft Azure to deprecate GPT-4 32K
- **OpenAI** has **silently removed** mention of **GPT-4 32K** from its documentation, and Azure plans to **deprecate** this model in **September**.

## [R] CFG++ : A simple fix for addressing the flaws of CFG in diffusion models
- **CFG++** addresses the **inherent design flaws** of the original classifier-free guidance (CFG) in diffusion models, offering a **simpler guidance scale** and **enhanced invertibility**.

## [P] An interesting way to minimize tilted losses
- **Tilted empirical risk minimization** offers a more **equitable approach** to training models by adjusting sensitivity towards challenging samples, as detailed in a [JMLR paper](https://www.jmlr.org/papers/v24/21-1095.html).

## [D] 1D CNN on Waveforms and Spectrograms vs. 2D CNN Performance
- **1D CNNs struggle with waveform inputs** in audio processing tasks, often failing to converge, unlike their 2D counterparts when applied to spectrograms.