Lifeboat Foundation

As Nvidia’s recent surge in market capitalization clearly demonstrates, the AI industry is in desperate need of new hardware to train large language models (LLMs) and other AI-based algorithms. While server and HPC GPUs may be worthless for gaming, they serve as the foundation for data centers and supercomputers that perform highly parallelized computations necessary for these systems.

When it comes to AI training, Nvidia’s GPUs have been the most desirable to date. In recent weeks, the company briefly achieved an unprecedented $1 trillion market capitalization due to this very reason. However, MosaicML now emphasizes that Nvidia is just one choice in a multifaceted hardware market, suggesting companies investing in AI should not blindly spend a fortune on Team Green’s highly sought-after chips.

The AI startup tested AMD MI250 and Nvidia A100 cards, both of which are one generation behind each company’s current flagship HPC GPUs. They used their own software tools, along with the Meta-backed open-source software PyTorch and AMD’s proprietary software, for testing.

Generative AI’s potential to unleash creativity, accelerate discovery, and enhance efficiency could add trillions to Asian economies.

When it comes to the ability to generate, arrange, and analyze content, generative AI is a gamechanger—one with transformative social and economic potential.

As a technology that is democratized—one that doesn’t simply exist in a faraway lab or tech community in Silicon Valley, for instance—generative AI lowers the barriers to participation. In the age of generative AI, anyone can be a creator. But this also entails a profound workforce shift, changing the processes of production within the economy and, in turn, the types of tasks that are undertaken and the… More.

Meta is taking on Twitter with a new app. Instagram today announced the anticipated launch of its text-based social networking app, Threads, which allows Instagram users to authenticate with their existing credentials in order to post short updates, including text up to 500 characters; links; photos; and videos up to 5 minutes in length.

At launch, Threads is available on iOS and Android in 100 countries, though not in the EU, reportedly due to concerns around adhering to local data privacy regulations. Users can log in with their Instagram credentials, where their username and verification status will carry over. However, Threads profiles can be customized independently as well.

The app’s existence was first scooped by MoneyControl this March and later confirmed by Platformer. In June, Meta previewed the app to employees during a company-wide meeting. Further leaks offered more details about the app’s target market of high-profile celebrities, influencers and artists, and its planned feature set.

As Meta sets its sight on introducing its virtual reality headsets to the Chinese market, Mark Zuckerberg’s contentious remarks about Beijing in the past may pose a major obstacle to his China dream. According to a recent report by the Wall Street Journal, Meta is preparing to re-enter China by selling the Oculus Quest VR headset in China. If Tesla can sell cars and Apple can sell phones in China, why isn’t Meta present there? Zuckerberg asked in a recent internal meeting.

But some observers are quick to point out that Zuckerberg has a history of criticizing the Chinese government, a stance that will likely be amplified in the current climate of heightened tensions between the U.S. and China.… More.

How to build large language models? Checkout our guide on the steps involved in building large language models from scratch.

Build foundational knowledge of generative AI, including large language models (LLMs), with 4 short videos and get your badge for LinkedIn.

A Personal Perspective: Revolutionizing our understanding of consciousness.

New research by the University of Liverpool could signal a step change in the quest to design the new materials that are needed to meet the challenge of net zero and a sustainable future.

Published in the journal Nature, Liverpool researchers have shown that a mathematical algorithm can guarantee to predict the structure of any material just based on knowledge of the atoms that make it up.

Developed by an interdisciplinary team of researchers from the University of Liverpool’s Departments of Chemistry and Computer Science, the algorithm systematically evaluates entire sets of possible structures at once, rather than considering them one at a time, to accelerate identification of the correct solution.

Thousands of ancient cuneiform tablets remain untranslated. A team of researchers have developed an AI to unlock their secrets.