Facebook's parent company Meta plans to invest billions of dollars in a new AI data center in northern Louisiana. The project is expected to create between 300 and 500 jobs and help enhance Louisiana's position in critical technological infrastructure. According to an application submitted to state regulators, an unnamed company plans to build a 'large-scale facility with economic transformation potential' near Holly Ridge in Richland Parish.

The European Union recently released a draft of guidelines for the behavior of General-Purpose AI (GPAI) models, aimed at providing companies with a framework to comply and avoid hefty fines. The document is set to be finalized in May and outlines risk management guidelines, offering a blueprint for compliance and avoidance of significant penalties. GPAI refers to AI that has been trained with a total computational power exceeding 10²⁵ FLOP. Companies expected to be bound by the EU guidelines include OpenAI, Google, Meta, Anthropic, and Mistral.

According to insider sources, Baidu is set to unveil a new smart glasses product at the Baidu World Conference in Shanghai next week. These glasses will feature a built-in camera for capturing photos and videos, and will provide voice interaction capabilities based on Baidu's Wenxin large model. In the wave of global AI commercialization, 2024 has already seen the birth of multiple AI hardware products. While Humane's Ai Pin has not performed well, Microsoft's Copilot+ PC series has gained market recognition. Notably, Meta is collaborating with Ray-Ban's manufacturer.

Generating high-quality, temporally continuous videos requires a significant amount of computational resources, especially for longer time spans. The latest Diffusion Transformer model (DiTs) has made significant progress in video generation, but its reliance on larger models and more complex attention mechanisms has resulted in slower inference speeds, exacerbating the challenge. To address this issue, researchers at Meta AI have proposed a training-free method called AdaCache to accelerate video DiTs.

Recently, Meta announced that it will use artificial intelligence technology on the Instagram platform to predict users' ages in order to automatically transition any users suspected of age misrepresentation to teen accounts. This initiative comes in response to widespread public concern about the impact of social media platforms on the mental health of teenagers. Meta had already introduced teen accounts back in September of this year. Teen accounts are designed specifically for users aged 13 to 17, incorporating multiple restrictions, including limits on who can contact them and the content they can see.

The rapid development of generative AI has raised the challenge of comprehensively evaluating its performance. A plethora of models have emerged, each showcasing increasingly impressive results. However, the pressing question remains: how do we assess the effectiveness of these text-to-image models? Traditional evaluation methods often rely on subjective visual assessments or simple metrics like CLIPScore, which frequently fail to capture the intricate details found in complex text prompts, such as relationships between objects and logical reasoning. This leads to inaccurate evaluation outcomes for many text-to-image models.

Meta recently announced that its Llama series of artificial intelligence models will be made available to U.S. government agencies and related contractors to support national security applications. This move aims to dispel concerns that its 'open' AI could aid foreign adversaries. In a blog post, Meta stated, 'We are pleased to confirm that Llama will be accessible to U.S. government agencies, including those focusing on defense and national security projects, as well as private sector partners supporting this work.'

Recently, a significant personnel appointment has caused a stir in the tech world. According to the latest news from LinkedIn, Caitlin Kalinowski, head of Meta's AR glasses business, has officially joined OpenAI as the head of robotics and consumer hardware, a fact confirmed by TechCrunch. As a heavyweight figure in the hardware field, Kalinowski's resume is particularly impressive. At Meta, she has led the AR glasses team since March 2022 and has been at the forefront of the much-anticipated AR developments.

With the advancement of artificial intelligence technology, tech companies like Google and Meta are using user comments or reviews to generate AI responses on their platforms, which may lead to new defamation law risks. Legal experts in Australia point out that when users post allegedly defamatory comments on Google or Facebook, it is typically the users themselves who face legal liability. However, a significant ruling by the High Court of Australia in the Dylan Voller case in 2021 held that platforms hosting defamatory comments, such as social media pages, may also be held responsible for them.

Meta recently announced that its MobileLLM model is now open to researchers, allowing users to download and use these models for free on the Hugging Face platform, fully integrated with the Transformers library. This initiative aims to promote research and development of large language models (LLMs) on mobile devices, providing a broader range of tools and resources for developers and academia. MobileLLM represents a significant advancement for Meta in the field of mobile AI.