Artificial Intelligence - Page 82

Reports indicate that Meta has disbanded its Responsible AI (RAI) team, which was dedicated to ensuring Meta develops AI-powered systems responsibly.

The splitting up of the team was discovered through a new report published in The Information, which cited an internal post it gained access to. The report stated that the majority of the now-former RAI team was to be moved to the generative AI product team, which is currently working on various projects with AI-generated content such as text, video, images, and audio. Some of the other former members of the RAI team have been moved to the AI infrastructure team, which is a more technical-based position.

These changes are hardly a surprise as company CEO Mark Zuckerberg announced that tough times were ahead for the company as it would be undergoing a cleaning house and complete reshuffling as a result of the economic climate. Zuckerberg said back in February that 2023 was the "year of efficiency" that will be honed in on identifying Meta's key strengths and doubling down on them. That year-long and ongoing process has seen many rounds of layoffs, internal mergers, and various company restructurings.

Designed for its lineup of Radeon RX 7000 GPUS, ASRock AI QuickSet is a new software tool from the company that allows you to download and install popular AI applications like Shark Studio AI and Stable Diffusion web UI and frameworks like TensorFlow and PyTorch - and then fire them up!

ASRock has created the application to alleviate the complexities and unknowns surrounding running AI tools on modern PCs, and it's compatible with all Intel 13th and 14th gen systems and AMD Ryzen 7000 and 5000 series systems running ASRock Radeon RX 7000 Series GPUs. Software-wise, in addition to the latest Radeon driver release from AMD, you'll also need Windows 11 22H2 64-bit or later.

It's a very cool tool and something we're surprised hasn't been put together until now. With a simple installation window that lets you pick and choose which AI applications to install, all you need to do from there is fire up the AI applications via ASRock's launcher, and you're good to go.

Sam Altman's name has been plastered over headlines across the weekend, with the ChatGPT maker OpenAI founder and CEO being ousted from the company. But did you know he wanted to build an AI GPU that would compete with GPU makers like AMD and NVIDIA?

Altman was working on something codenamed Tigris, according to people familiar with the matter, writes Fortune. The now ex-CEO of OpenAI had been traveling to the Middle East to fund his project with the AI-focused chip company that would be producing chips that would compete against AMD, Intel, NVIDIA, and others in the AI GPU space.

The new AI chip company wasn't something big yet -- not even formed -- with talks with investors in their early stages. Altman had been developing the new AI chip with Apple's former design boss, Jony Ive, so it would've been revolutionary and stunning, to say the least.

Today has been a crazy day in the world of AI, with ChatGPT superstar OpenAI firing its CEO -- Sam Altman -- out of nowhere, with CTO Mura Murati stepping up into the role of CEO in the interim.

Sam posted on Twitter: "The board of directors of OpenAI, Inc., the 501(c)(3) that acts as the overall governing body for all OpenAI activities, today announced that Sam Altman will depart as CEO and leave the board of directors. Mira Murati, the company's chief technology officer, will serve as interim CEO, effective immediately".

The co-founder and CEO of OpenAI was pushed out of his company after the board accused Altman of "being not consistently candid in his communications". OpenAI's board "no longer has confidence in his ability to lead" and that new leadership was "necessary" for the company to move forward.

Microsoft formally announced its custom AI chips at the company's Ignite conference - the Microsoft Azure Cobalt 100 CPU built using Arm architecture and the Microsoft Azure Maia AI Accelerator, a GPU designed and optimized for generative AI and large language models. Both are set to arrive in 2024, and based on the current demand for NVIDIA hardware like the H100 GPUs, it could see Microsoft and its massive Azure cloud move away from having to buy pricey chips from other companies.

The Azure Cobalt 100 CPU and Azure Maia 100 AI Accelerator have been developed in-house at Microsoft, alongside an overhaul of the entire Azure cloud server stack as the Age of AI begins. The Maia 100 AI Accelerator uses TSMCC's 5nm process with 105 billion transistors, which is higher than the NVIDIA Hopper H100 GPU's 80 billion. However, it is lower than the 153 billion found on AMD's MI300X AI GPU built on a similar 5nm process.

Of course, transistor counts and overall performance are two different things, but it's an impressive showing from Microsoft. And it's the very first liquid-cooled processor built by Microsoft.

For quite some time, YouTube has been against any content posted to its platform that has been technically manipulated, but now the Google-owned company has made what could be considered its biggest push yet to stop the spread of specific content that it believes may have the potential of harming viewers.

The latest YouTube rulebook change was announced on Tuesday via a blog post, and the world's largest video platform explained that its policy update will now require creators to add labels to their content before uploading. These labels would be applied to any "manipulated or synthetic content that is realistic, including using AI tools." The idea behind this change is to protect viewers from being misled by content that has been manipulated using AI tools, while also differentiating "realistic", or normal content.

Additionally, YouTube specified that this new rule change will be particularly important for content that discusses sensitive topics such as elections, ongoing conflicts, public health crises, or public officials. Ahead of YouTube's coming change, which is scheduled to be rolled out to YouTube's upload process sometime early next year, digital information experts have sounded the alarm over the exponential emergence of AI tools used to generate misleading content that is then shared across various social media platforms - potentially misleading the public.

Last week Oscar-nominated star Scarlett Johannson launched legal action against an AI app that cloned her likeness for profit.

The new report comes from Variety and explains that Johannson has filed legal action against AI-app "Lisa AI: 90s Yearbook & Avatar", which according to the suit used an AI-generated version of Johannson's voice along with an image. The ad was seen by publications and showed a real-life behind-the-scenes clip of Johannson playing Black Widow where she is seen saying, "What's up guys. It's Scarlett and I want you to come with me...".

The ad then cuts to AI-generated photos and a cloned version of her voice that promotes the Lisa AI app. The ad actually states the following, "Images produced by Lisa AI. It has nothing to do with this person." Since the legal action was filed the Lisa AI app still remains on both the App Store and Google Play Store. However, the specific ad in question has been removed from the app, along with additional advertisements that were published on X, formerly Twitter.

AI is the future, and with news that Microsoft would be using "AI PC" branding in 2024, it makes sense that AMD is leaping forward with its "Advancing AI" event penciled in for December 6.

AMD has just scheduled its Advanced AI event for December 6 at 10 AM PST, 12 PM CST, or 1 PM EST, which we typically see held in a timeslot when data center products are unveiled by AMD. We should see AMD unveil its next-gen MI300X datacenter GPU, which makes sense... it'll be fighting against NVIDIA's monster H100 AI GPU.

But, I think leading into CES 2024, just weeks later, AMD is going to use the event to tease AI on regular Ryzen CPUs for gamers, content creators, and everyone in between. Given that AMD's own Senior Director for Gaming Marketing, Sasa Marinkovic, tweeted about the event... we could expect AI-related gaming news on December 6, and if that's just a tease, AI-powered content from AMD at CES 2024.

NVIDIA's industry-leading H100 Tensor Core GPUs have set new records in the latest industry-standard tests, flexing their AI GPU muscle in the latest MLPerf industry benchmarks.

The NVIDIA Eos AI supercomputer packs an incredible 10,752 NVIDIA H100 Tensor Core GPUs and NVIDIA's Quantum-2 InfiniBand networking, which has just completed a training benchmark based on the GPT-3 model with 175 billion parameters trained on 1 billion tokens in just 3.9 minutes. It might not sound like much, but that's nearly 3x faster than the previous world record that NVIDIA set with 10.9 minutes. That's a full 7 minutes shaved off.

The MLPerf benchmark uses a part of the full GPT-3 data set that powers the super-popular ChatGPT service, with NVIDIA teasing its Eos AI supercomputer could train in just 8 days, which is a mind-blowing 73x faster than the previous state-of-the-art system powered by 512 NVIDIA A100 GPUs. The huge speed-up in training time means reduced costs, energy savings, and super-speeds the time-to-market for companies using NVIDIA H100 AI GPUs for their AI products.

Baidu has just placed a large order with Huawei for its Ascend AI chips, with the deal happening in China because of US sanctions and control of what Chinese companies can buy from the likes of AMD and, especially, NVIDIA.

The cloud giant purchased 1600 of Huawei's new Ascend 910B AI chips, which the Chinese company developed as an alternative to NVIDIA's A100 AI GPU. Reuters' sources report that Baudi will use the 1600 new Huawei AI chips for 200 servers and that by the end of last month, the company had delivered over 60% of the order -- or around 1000 chips.

Baidu's AI chip order with Huawei is said to cost around 450 million yuan ($61.83 million USD), and Huawei will deliver each and every one of the 1600 x 910B Ascend AI chips by the end of the year. The order of $61 million worth of AI GPUs isn't much when you consider that companies are buying hundreds if not thousands of high-end NVIDIA AI GPUs for tens of thousands of dollars each... but it signals something more important: Baidu moving -- even if it's slowly -- away from NVIDIA AI GPUs and into using Huawei AI GPUs.