Artificial Intelligence News - Page 52

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.

Elon Musk's AI startup xAI has announced its first AI model called Grok, inspired by Hitchhiker's Guide to the Galaxy. Like other AI language models, Grok will attempt to answer any question you throw at it with the bonus of suggesting what questions to ask. Interestingly, Grok is described as having "a rebellious streak," with the announcement saying, "Please don't use it if you hate humor."

Grok's "real-time knowledge" of the world comes via X, the social media platform formerly known as Twitter. The announcement, which reads like something Elon Musk wrote, also adds that Grok will answer "spicy questions that are rejected by most other AI systems."

Launching this week, Grok is currently in "very early beta" thanks to only four months of development and two months of training, but like all AI large language models, it's expected to improve and grow over time.

Microsoft is reportedly looking at pushing full steam ahead into the world of AI -- riding the wave of artificial intelligence that saw the company launching its generative AI-powered Copilot software for Microsoft 365 enterprise customers this week -- and now we're expecting the rise of the "AI PC" in 2024 and beyond. What will the "AI PC" do more than a "non-AI PC"? Well, we don't know, and I don't think it'll be much.

We're seeing Qualcomm push AI into its processors, AMD has Ryzen AI on some of its processors, and Intel's new Meteor Lake CPUs will have a dedicated AI chip that will handle artificial intelligence tasks. What are those tasks? Well, we're going to see them shoved down our throat over the coming 18 months... where it seems Microsoft will be leading the charge with Windows and Office and AI-powered "Copilot" additions.

The next sticker on computer systems will be for the "AI PC," and it seems Microsoft will have a particular metric -- an AI benchmark of TOPS performance -- that an "AI PC" would perform and be scored on its AI performance. This will give Microsoft another noose to tie around OEM's necks, making sure they fall into line with "AI PC" performance on their new systems.

The Biden administration has been putting its foot down on countries building up their presence in the AI hardware world; sanctions on China will effectively cut the country out of the "AI race," and now companies are going around that... so around, they're taking to the seas as a sovereign nation-state.

Del Complex has just announced its new Blue Sea Fronter Compute Cluster (BSFCC) which is a massive AI platform that floats on international waters, acting as a sovereign nation-state with its own security forces to protect the investment: 10,000 x NVIDIA H100 AI GPUs. They're like GPU gold these days, so this is a heavily protected facility that floats in the ocean using GPUs to act as an AI platform.

The company explains on its website that the "rapid pace of artificial intelligence has led to hastily drafted government regulation" -- directly calling out the Biden administration's recent AI Executive Order and the European Union's AI act -- forced its hand to engineer a solution ready to set sail, which turned into the BlueSea Frontier Compute Cluster. Del Complex calls it a groundbreaking venture in international waters, blending cutting-edge technology with unparalleled autonomy.