Artificial Intelligence - Page 3

Meta continues to bet heavily on Agentic AI, as the company has signed an agreement with Amazon to deploy AWS Graviton processors at scale. In late February, Meta signed a deal with AMD to deploy 6 gigawatts of AI hardware. In March, Arm released the Arm AGI CPU for Agentic AI, built in collaboration with Meta. The new partnership with AWS is another step in the same direction for the company.

Recently, we have been seeing a significant shift in the compute demands for Agentic AI workloads. While GPUs remain the dominant force behind most AI workloads, CPUs are slowly gaining significance, thereby increasing demand. This is why Meta is now partnering with Amazon's AWS to deploy tens of millions of Graviton cores to its compute portfolio.

The Graviton5 chip is a 192-core chip built on the AWS Nitro System and features a cache that is five times larger than its previous generation. AWS claims an "up to 33%" improvement in core-to-core latency, greater bandwidth, and the ability for Meta to run its own virtual machines without compromises to performance or security.

NVIDIA has rolled out OpenAI's latest frontier model across its global workforce, with CEO Jensen Huang calling it a milestone in the "age of AI." Over 10,000 NVIDIA employees in engineering, product, legal, finance, and marketing were given early access to Codex, an agentic coding tool powered by GPT-5.5.

Engineers have been using the GPT-5.5-powered Codex for several weeks now, reporting big efficiency gains in software development and maintenance. "Debugging cycles that once stretched across days are closing in hours," says NVIDIA. Teams are also using natural-language prompts to deliver end-to-end features more reliably and with fewer wasted cycles than prior models.

Huang encouraged employees to adopt Codex in an internal email, describing AI agents as teammates boosting productivity across all roles, not just engineering. "Chatbots answer questions. Agents do work," Huang wrote. "Let's jump to lightspeed. Welcome to the age of AI." Employees have echoed that sentiment, describing Codex as both "mind-blowing" and "life-changing."

At Cloud Next 2026, Google introduced Workspace Intelligence, a new semantic layer for Google Workspace that creates a unified context by mapping emails, chats, files, collaborators, and active projects. The idea is to shift Workspace from a collection of productivity apps into an AI-driven system that can replicate how you actually work.

Workspace Intelligence is aimed at organizations that want AI to be more than just a chatbot. Google Workspace head of product Yulie Kwon Kim says the system is intended to "emulate the institutional knowledge of a long-tenured employee, but for AI." Google says it can gather material, rank priorities, track stakeholders, and adjust outputs to user writing styles.

To build a truly useful AI coworker, you need context, and a lot of it. Workspace Intelligence's goal is to provide rich organizational context from a company's documents, emails, presentations, and messages. This lets the system do things like generate content in your voice, picking up on preferences like whether you never use exclamation marks or love using them.

A new Trojan dubbed "OpenClaw" is raising serious alarms, with researchers warning that AI agents are now being weaponized to take full control of thousands of systems.

Security analysts report that OpenClaw has already compromised more than 28,000 machines, leveraging AI-driven automation to execute commands, adapt to environments, and maintain on these systems in ways that traditional malware struggles to achieve. The key concern here isn't the scale or the number of affected machines, but the infection's capability. For example, OpenClaw effectively hands attackers a semi-autonomous operator inside a system, and this operator has access to the entire machine.

According to a TechRadar report, the malware uses these AI agents to dynamically interact with compromised environments. Because the AI agents have access to the entire machine, the malware can make real-time decisions and control the system. This means attackers can automate system monitoring, perform lateral movement across the layers of the system they have access to, and even conduct data extraction.

Anthropic's unreleased Claude Mythos is at the center of a cybersecurity debate. Its coding capabilities are so powerful that in pre-release tests, the model identified thousands of previously unknown vulnerabilities in major operating systems and web browsers. Since then, many have questioned whether the model is truly the future of cybersecurity or simply a normal step forward wrapped in overhype.

Mozilla has now tipped the scales in Anthropic's favor, sharing in the zero-days are numbered blog post that early access to Mythos Preview helped it pre-identify 271 security vulnerabilities in the latest Firefox release. Firefox CTO Bobby Holley added that "in the never-ending battle between cyberattackers and cyberdefenders, defenders finally have a chance to win, decisively."

According to the post, Mythos detected these hundreds of vulnerabilities simply by analyzing unreleased code from the browser's latest version. The post didn't go into detail on the severity of these vulnerabilities, but Holley compared Mythos to earlier AI tools, noting that Anthropic's Claude Opus 4.6 had detected only 22 security bugs when analyzing Firefox 148.

A new and potentially explosive report from Reuters claims that Meta is installing tracking software on all its employees' computers to log mouse movements and keyboard keystrokes. According to the report, this is part of a new "broader initiative" to overhaul the company's workforce by training and building AI agents that can "perform work tasks autonomously."

The report notes that it has seen the internal memos from Meta regarding this, which is being called the Model Capability Initiative (MCI). Apparently, it will run on all work-related apps and websites, and will even take screenshots of employees' displays. According to one of the internal memos, the purpose of the new initiative is to accelerate AI model training in areas where they struggle.

This includes choosing options from dropdown menus and using keyboard shortcuts. "If we're building agents to help people complete everyday tasks using computers, our models need real examples of how people actually use them, things like mouse movements, clicking buttons, and navigating dropdown menus," Meta spokesperson Andy Stone said.

TSMC's CapEx (Capital Expenditures) for 2026 is projected to hit $56 billion. This capital is being funneled into a three-pronged effort to address rising chip demand: new fabrication plants, increased capacity, and a massive build-out of supporting infrastructure. However, despite this record-breaking spending, TSMC CEO C.C. Wei admits that shortages will likely persist until 2027 and potentially beyond.

The primary driver of this insatiable demand is, as you guessed, AI hardware, including GPUs (Nvidia/AMD), CPUs, and HBM (High Bandwidth Memory). This demand from NVIDIA, AMD, Intel, and even automotive giants is drying up capacity for TSMC's mature 3nm process node family, which, despite already reaching production targets, is still not enough.

The next issue pertains to packaging constraints. Modern AI processors aren't monolithic chips. Instead, they use technologies such as CoWoS (Chip-on-Wafer-on-Substrate) to integrate logic with HBM (High Bandwidth Memory). As it stands, TSMC's advanced packaging capacity is significantly tighter than its front-end wafer fabrication capacity. Another constraint is lead times, as each new fab needs years to reach high-volume production.

Google could be preparing a major shake-up in the AI hardware space, with reports suggesting the company is working on new custom silicon designed to challenge NVIDIA's dominance.

According to a Reuters report, Google is in talks with Marvell Technology to develop two new chips to improve AI model efficiency. The first is a memory processing unit (MPU) designed to work alongside Google's existing Tensor Processing Units (TPUs), while the second is a next-generation TPU specifically optimized for AI inference workloads.

The MPU is particularly interesting because it represents a shift toward offloading memory-intensive tasks from the main accelerator, something that has become a major bottleneck in modern AI systems. By separating data movement and memory operations, Google could significantly improve performance and reduce latency.

Graphic designers and casual users are still figuring out Canva's new AI 2.0, which can generate full designs from simple text prompts, and Anthropic is already showing off its own take. The company announced on Friday that it's launching Claude Design, a new experimental product that allows subscribers to use Claude to generate designs, prototypes, slides, and more.

As you might expect, users describe what they want, and Claude will create an initial version. From there, users can directly edit or ask the chatbot to further fine-tune. Claude will also generate custom sliders that users can push and pull to modify corresponding elements. In the demo video, Claude lets the user adjust the glow and density of arcs it uses to illustrate a connected network.

Claude Design can also apply a team's design system to every project it creates by reading a company's codebase and design files. "Every project after that uses your colors, typography, and comments automatically," according to the company.

Google recently launched an AI tool for creating designs from descriptions. Now, Canva is going down a similar route. The company has announced Canva AI 2.0, a more powerful version of its AI assistant that it claims will fundamentally change how people think about design work.

Canva AI 2.0 leans into the "vibe coding" idea but applies it to graphic design, letting users create fully editable designs from text prompts. Instead of starting with a blank canvas and building everything manually in a linear fashion, you just describe what you want, and the assistant calls the required tools and generates a few options to choose from.

Whatever it generates is a layered, editable output that can be refined with manual tools or by continuing to chat with the assistant. Every visual element it generates sits on its own layer, giving you the flexibility to tweak anything individually. You can also generate content across multiple formats in one go, perfect for anyone running multi-channel campaigns.

Researchers at the University of Washington have unveiled Vuebuds, a prototype pair of wireless earbuds equipped with tiny cameras that enable real-time visual AI interactions.

Designed to change how users engage with their surroundings, Vuebuds allow wearers to simply look at an object and ask questions, with responses delivered through the earbuds in about a second. Unlike smart glasses, which have struggled to gain mainstream adoption, Vuebuds aim to provide a more subtle and intuitive alternative.

The system captures still images using low-resolution, black-and-white cameras rather than recording continuous video, a deliberate choice to address privacy concerns while still delivering useful contextual information. A key feature of Vuebuds is on-device processing, meaning image analysis happens locally instead of being sent to the cloud.

Microsoft's AI-powered Recall feature is once again facing privacy and security concerns, despite a major redesign intended to address earlier backlash. Originally criticized as a "privacy nightmare," Recall captures snapshots of user activity on Windows PCs, storing everything from on-screen text to messages, documents, and browsing history.

After delaying the feature for nearly a year, Microsoft introduced stronger protections, including a secure data vault, Windows Hello authentication, and a Virtualization-Based Security (VBS) enclave. The company claimed these measures would prevent malware from accessing Recall data, even if it attempted to exploit user authentication, while simultaneously reassured users that Microsoft isn't going to be accessing the snapshots taken of desktops as they are stored locally.

However, cybersecurity researcher Alexander Hagenah has challenged those claims with a new tool called TotalRecall Reloaded. The tool can reportedly trigger a Windows Hello prompt and, once the user authenticates, extract all stored Recall data. Hagenah argues this shows malware can still "ride along" with legitimate authentication - something Microsoft said its redesign would block.

NVIDIA has officially unveiled a new family of open-source AI models it's calling Ising, which is aimed at solving some of the biggest challenges holding back quantum computing.

Quantum computing is the next stage of computing, and while we know that current quantum computers are intensely powerful, some solving equations that a classic computer would take millions of years to solve, in just seconds, they aren't particularly useful in everyday life. NVIDIA proposes to use AI to bridge the gap between quantum computing and real-world usefulness, and at the core of its recent announcement is its CUDA-Q platform.

NVIDIA explained that this new platform is designed to be "qubit-agnostic," meaning it can work with different types of quantum hardware without being tied to a specific architecture. Think "open-source-level" interoperability, but between hardware powering quantum computers. Ising introduces a layer of intelligence, designed to stabilize quantum processors and yield more consistent results.

We've reached a point where it's getting harder to tell which headlines are supposed to sound unbelievable. If you need the latest proof of that, Meta is reportedly building a photorealistic AI clone of Mark Zuckerberg. The Facebook founder is developing an AI-powered 3D version of himself that can respond to queries in his absence and offer feedback to employees.

The AI avatar is being developed using a wealth of data on Zuckerberg's mannerisms, voice, tone, and public statements. According to the Financial Times, the CEO himself is involved in testing and training his AI character, with the team feeding it his latest views on company strategy so that interactions with employees feel more natural. Quite the irony.

The effort comes as Zuckerberg's hands-on involvement in the company is growing, with reports that he spends 5 to 10 hours a week vibe coding AI projects and participating in technical reviews. This isn't Meta's only effort of this kind, either. Reports have also suggested the company is developing a separate "CEO agent" to assist Zuckerberg by streamlining information retrieval and reducing his need to communicate directly with staff.

On Thursday, Intel and Google announced a multi-year collaboration to advance AI infrastructure. Under this program, Google will continue to deploy Intel Xeon systems for its AI and cloud infrastructure going forward. Moreover, both companies agreed to work together on the expanded co-development of custom silicon, especially targeted towards AI applications.

According to Intel's announcement, this collaboration is essential for the future of AI infrastructure, as Google and Intel will work together to improve performance and energy efficiency, and to optimize costs for Google's AI and cloud deployments. In simple terms, both tech giants are going to work together to best capitalize on the AI boom.

The outlined program has two major parts: first, Google will continue to use Intel's Xeon processors for its Cloud, AI, inference, and general-purpose workloads. This will include both current Xeon models and future models that will likely be developed with Google's specific needs in mind.

At a time when the internet is pushing back against AI slop flooding feeds and creeping into game development, YouTube is doubling down on AI features. This time, it is bringing a tool that lets creators build photorealistic AI avatars of themselves for use in Shorts. YouTube is framing the tool as a way to give creators more control over their digital identity and make content creation more flexible. Instead of repeatedly filming themselves, creators can rely on an avatar built using their own face and voice to do the heavy lifting.

Setting up an avatar is a one-time process that can be done through either the YouTube or YouTube Create app. Users capture a live selfie that also records their voice, with the system prompting them to read specific phrases to capture facial expressions and speech patterns. Once done, the system generates a realistic digital version of the user ready for use in short video clips.

From there, creating content is straightforward. Type in a prompt, wait for the AI to generate a clip of up to eight seconds, and stitch multiple clips together to produce a complete Short. YouTube also lets you add your avatar to eligible existing Shorts by tapping "Remix," then "Reimagine" with your avatar selected.

Google has introduced a new Notebooks feature for Gemini that helps you organize research materials. Google describes notebooks as "personal knowledge bases shared across Google products," designed to pull together scattered research, conversations, and documents into a single reusable space.

The feature arrives alongside Google's full integration of NotebookLM, its AI-powered research tool, into the Gemini app. Google launched a standalone NotebookLM app last year and added it as a source within Gemini shortly after, but now you can create and manage notebooks directly inside the chatbot.

Notebooks work similarly to regular Gemini chats but are designed to help you focus on a single topic. They keep all relevant information and resources together, allowing Gemini to reference them throughout your conversation. To get started, select "New notebook" from the side panel of the Gemini app, give it a name, and begin adding sources.

According to a new report from Nikkei Asia, citing an analysis from RationalFX, there have been approximately 78,557 layoffs in the tech industry so far this year. This covers the period running from January 1 to April 1, with the report also stating that nearly half, or around 37,638, of these job losses were directly linked to "AI implementation and workflow automation."

However, one additional stat adds a new layer to these figures: 76.7% of these cuts occurred in the United States, meaning roughly 60,000 of the 80,000 tech industry layoffs were U.S.-based. And when it comes to jobs being lost to AI for productivity gains and roles that are seemingly becoming redundant, it's believed that a large portion of these cuts could be driven by the expectation that AI will improve productivity, rather than by actual data reflecting this.

"I don't know if they are directly related to actual productivity gains," said Babak Hodjat, chief AI officer at Cognizant, of the job cuts. "Sometimes, you know, AI becomes the scapegoat from a financial perspective, like when a company hired too many, or they want to resize, and it gets blamed on AI." And with that, it would still take up to a year before companies start seeing notable productivity gains from AI.

Two new features aimed at helping users reach a wider audience and edit images are making their way onto Elon Musk's social media platform X. Both features are powered by xAI's Grok models and aim to improve the in-app experience while keeping users inside the app rather than relying on third-party tools.

Late Tuesday, X's head of product, Nikita Bier, announced that automatic translation is rolling out worldwide, allowing users to instantly read content in their preferred language without manually translating it. The feature is designed to give posts in any language a global reach and reduce reliance on Google Translate. Users who prefer the original text can tap the gear icon on a translated post and toggle off automatic translation for that particular language.

Alongside translation, X has also introduced a new in-app photo editor on iOS. The tool gives users access to drawing and text tools, plus a blur feature that lets users hide sensitive information, such as credit card or Social Security numbers, from images.

Anthropic's unreleased Claude Mythos is described as a "general-purpose, unreleased frontier model," but its coding capabilities are so powerful that it poses a real and unprecedented cybersecurity threat. According to the AI company, the Mythos Preview has already "found thousands of high-severity vulnerabilities" in every major operating system and web browser.

Its coding capabilities are so strong that, apparently, only the "most skilled humans" could beat it at finding and exploiting these vulnerabilities. "Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely," Anthropic explains. "The fallout - for economies, public safety, and national security - could be severe."

And with that, Claude Mythos won't be getting a public release anytime soon, but it's currently being deployed as part of the new Project Glasswing initiative designed to "secure the world's most critical software."