Artificial Intelligence

NVIDIA has announced the 40-year PC model of opening apps, clicking, typing, and manually interacting with your PC is now over. The new era of PC interaction is here, and it's simply a combination of RTX Spark and Microsoft Windows.

NVIDIA explained at GTC Taipei that AI agents will reinvent the PC after 40 years of keyboard and mouse computing. Huang goes on to say that users traditionally open apps, click around interfaces, type commands, and manually complete tasks, but in this new era of agentic computing, "AI is the UX," and instead of working within apps users will now be able to communicate an objective to an agent and watch as that agent carries out that task autonomously.

The new hardware that will usher in this new era of PCs is RTX Spark, NVIDIA's new super-chip purposely designed for Microsoft Windows. Huang and NVIDIA have described this as "the new PC" and "the personal AI computer". NVIDIA says RTX Spark is a culmination of many years of development as it brings together CUDA, RTX, FP4, TensorRT, OptiX, Reflex, G-Sync, and many other NVIDIA-created software.

NVIDIA has unveiled the RTX Spark Superchip, which features the NVIDIA Blackwell RTX GPU with 6,144 CUDA cores and fifth-generation Tensor Cores. Furthermore, it's connected via NVLink-C2C (chip-to-chip) to a 20-core NVIDIA Grace CPU.

NVIDIA confirmed that RTX Spark was born out of a collaboration with MediaTek, a market leader in Arm-based system-on-chip designs, and that it is specifically designed for personal AI agents.

So, what can RTX Spark actually do? Well, according to Team Green RTX Spark lets creators, AI developers, and gamers render ultra-large 90GB+ 3D scenes, and edit 12K 4:2:2 video. Additionally, RTX Spark users will be able to generate 4K AI videos, run 120-billion-parameter LLMs, and, this is the big one, enjoy increased support for 1-million-token context conversations.

NVIDIA has announced that OpenShell, the company's secure, open-source runtime for autonomous AI agents, is officially coming to leading operating systems, including Microsoft Windows, making these agents accessible to billions of users.

NVIDIA announced during a press briefing ahead of its official keynote at GTC Taipei that OpenShell is coming to leading operating systems, such as Windows, Red Hat OpenShift, Canonical Ubuntu, and other major developer, desktop, and enterprise platforms. The idea behind OpenShell is to provide a safe and secure framework for users to run AI and AI agents at scale.

According to NVIDIA, these recently announced integrations with leading operating systems, such as OpenShift, will mean autonomous agent systems will reach "more than 90% of US Fortune 500 companies". During the Q&A section of the briefing, I asked if NVIDIA's OpenShell platform was a response to the widespread security concerns surrounding OpenClaw.

At Computex 2026, NVIDIA announced the new DGX Station for Windows, a desk-based supercomputer powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. Designed for powerful AI agents and heavy-duty enterprise AI workloads, it brings NVIDIA's Grace Blackwell-class AI infrastructure to the Windows ecosystem, enabling trillion-parameter AI.

At the heart of the system, which looks like a workstation, is the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. This pairs a powerful 72-core NVIDIA Grace CPU with up to 748GB of memory and can connect to an NVIDIA Blackwell GPU, such as the NVIDIA RTX PRO 6000 Blackwell Workstation Edition, via the NVLink-C2C interconnect for best-in-class communication and performance.

On the network side, you've also got impressive bandwidth, with up to 800 GB/s via the ConnectX-8 SuperNIC for fast network transfers and the ability to connect multiple DGX Station systems. NVIDIA notes that it has developed DGX Station in collaboration with Microsoft to run agents at scale for engineering, design, and more, within the secure, managed open-source NVIDIA OpenShell platform.

NVIDIA CEO Jensen Huang is taking the stage at the Taipei Music Center in one hour for a major keynote focused on the future of AI, accelerated computing, GPUs, and groundbreaking technology. We are on the ground at the GTC Taipei / Computex Taipei 2026 event covering it live, bringing you the key announcements, major talking points, and important updates as they happen.

We've worked hard over the last couple of months to develop a new live blogging news system that delivers updates instantly in a modern, interactive experience. We're debuting it today right here for the NVIDIA keynote. There's no need to refresh the page - updates will stream in and appear automatically. You can even see when an editor is typing an update. We hope you enjoy it! Jensen is due to hit the stage at 11am Taipei time.

Apple's entry into the smart glasses market has hit another speed bump. According to Bloomberg's Mark Gurman, Apple's smart glasses, internally codenamed N50, have been pushed back to a late 2027 launch. The glasses were originally set to be revealed by the end of 2026, with shipments beginning in early 2027, but development delays have pushed that timeline back by roughly a year.

The delay means Apple will enter a market in which Meta has been building momentum for several years. Meta's Ray-Ban smart glasses, which the company recently expanded with two new AI models for prescription wearers, have seen sales triple in 2025 over the previous year. Apple is clearly taking its time to ensure it enters the space with a product worth buying rather than rushing a half-finished wearable to market.

Gurman reports that Apple CEO Tim Cook views the N50 glasses as his top priority before handing the reins to incoming CEO John Ternus on September 1. Ternus has been leading Apple's Vision Products Group for the past two years, making him a natural fit to carry the project forward.

ByteDance is developing its own CPUs to address growing AI infrastructure demands amid rising chip prices and supply shortages. Essentially, ByteDance, the owner of TikTok, has seen how much money hardware companies are making and now wants a slice of the AI pie, and/or it doesn't want to keep relying on third parties to provide it with the necessary hardware.

The company, best known for TikTok, is reportedly designing custom silicon to power expanding AI operations. Sources from Reuters state the chips will be used for AI inference tasks, with production potentially starting this year. The company is said to be in talks with Samsung and TSMC for manufacturing, with at least 100,000 units expected in 2026.

If accurate, the move signals a major pivot into hardware, positioning ByteDance alongside other tech firms like Google and Meta, which have also begun developing in-house AI accelerators intended to assist the demand for as many AI-capable chips as possible.

YouTube is now automatically labeling AI-generated videos, even when creators don't manually disclose their use of artificial intelligence. This marks a significant shift in how the platform handles synthetic content, particularly AI-generated content intended to fool viewers.

The new system will flag videos with "significant photorealistic AI use" and apply an "altered or synthetic content" label. Creators are still required to manually disclose AI use, but YouTube will now step in if they don't.

The label appears just below the video player for long-form content and as a small, subtle overlay on Shorts. For unrealistic or animated videos, which means content that isn't obviously attempting to fool anyone, AI disclosures are in the description of the video.

NVIDIA has announced its latest financial results for fiscal Q1 2027, beating expectations with record revenue of $81.6 billion over three months, representing an 85% increase from the same period last year. Naturally, the company's record Data Center revenue drove this growth, with this segment accounting for $75.2 billion of the overall revenue. The Data Center revenue alone is up a staggering 92% from a year ago, showcasing the seemingly insatiable appetite for all things AI and NVIDIA hardware.

"The buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed," said Jensen Huang, founder and CEO of NVIDIA. "Agentic AI has arrived, doing productive work, generating real value and scaling rapidly across companies and industries. NVIDIA is uniquely positioned at the center of this transformation as the only platform that runs in every cloud, powers every frontier and open source model, and scales everywhere AI is produced, from hyperscale data centers to the edge."

The $75.2 billion in Data Center revenue is up 21% from the previous quarter, another record-setting revenue period for the company. NVIDIA lists the new Vera Rubin platform, which includes the groundbreaking Vera CPU built for Agentic AI, as a key highlight for its Data Center business this year, including an extended partnership with Google Cloud that will power Google Gemini with Vera Rubin, Blackwell, and Blackwell Ultra systems.

AMD says its Ryzen AI Halo mini-PC will "pay for itself" in just a few months of use and it's coming in June. The compact system, built around the Ryzen AI MAX+ 395 chip and packing 128GB of unified memory, is AMD's direct answer to NVIDIA's DGX Spark that debuted in October 2025.

Priced at $3999, the Halo Box is aimed squarely at local AI development and enterprise workloads that demand high performance and portability. The Ryzen AI Halo is based on AMD's Strix Halo platform and features a powerful integrated RDNA 3.5 GPU, 16 Zen 5 cores, and support for both Windows and Linux.

It's designed to run complex AI models locally without relying on cloud infrastructure, making it ideal for developers and businesses focused on privacy and latency-sensitive applications. AMD claims the system will deliver enough efficiency and performance to offset its cost quickly in real-world use cases.

NVIDIA has begun hand-delivering its first custom CPU designed for Agentic AI. The Vera CPU featured 88 custom Olympus cores, an impressive 1.2 TB/s of memory bandwidth, and 50% faster per-core performance under full load. And with that, NVIDIA Vice President of Hyperscale and High-Performance Computing, Ian Buck, personally hand-delivered the first Vera CPUs to the biggest AI companies in California: Anthropic, OpenAI, SpaceXAI, and Oracle Cloud Infrastructure.

Although NVIDIA is synonymous with generative AI thanks to its GPUs, Agentic AI still requires a powerful CPU to handle tasks such as long-context retrieval. "Vera is a new class of CPU designed with that reality as its starting point," NVIDIA explains. "This gauntlet of concurrent, real-time tasks puts pressure on CPUs in ways traditional core-density focused designs were never built to prioritize."

As the successor to Grace, Vera underscores the growing importance of CPUs in AI, and the Vera CPU is the first data center CPU to use LPDDR5X memory, delivering 1.2 TB/s of memory bandwidth. And with that, even though it will ship as part of the Vera Rubin platform that combines CPU and GPU technology, it's also set to be made available as a standalone CPU solution. NVIDIA's hand-delivery of the first Vera CPUs signals that Vera and Rubin are entering their respective full production phases for a global rollout in the coming months.

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As AI continues its meteoric growth, security and privacy concerns are rising along with it. On a massive video-sharing platform such as YouTube, these concerns are doubly important, since AI-generated content can not only misappropriate someone's likeness in photographic form but also "deepfake" a person into saying and doing things they would never have. Thankfully, YouTube is now taking steps to minimize the threat posed by deepfakes to its creators.

According to a post on the community page by Team YouTube, the platform is giving all creators over 18 access to a deepfake detection tool that can determine whether their face or likeness has been used in other AI-generated videos across the platform. This is a major security and privacy feature that can help creators stay alert about whether their face has been used in other users' content without their permission.

Team YouTube states that the goal behind this initiative was to provide its creators with "peace of mind" by giving them early access to the unauthorized content if it is detected. The creators can then request the removal of said content if an unauthorized likeness is detected. YouTube spokesperson Jack Malon told The Verge that anyone can use the tool, even though it is technically only available to creators.

Sipeed has launched its new K3 series Single Board Computers, powered by the RISC-V ISA. Using SpacemiT's new "Fusion Architecture" with dedicated matrix multiplication blocks, Sipeed claims these systems can run 30B LLMs locally at over 10 tokens per second.

SpacemiT, a fabless Chinese semiconductor designer, is the silicon architect, while Sipeed serves as the hardware integrator. The K3 SoC is packaged with 32GB of LPDDR5-6400 memory and 10GbE networking, offering an alternative to proprietary AI hardware for enthusiasts and researchers. Prices start at $299 and go up to $629 for the 32GB flagship.

At the silicon level, the K3 SoC features 8 general-purpose X100 cores, each with 4 MB of L2 cache. The company claims the X100 performs similarly to ARM's Cortex-A76 core. The K3 also offers 8 A100 AI matrix units with TCM (Tightly Coupled Memory) and supports up to 1024-bit RVV 1.0 vector processing. These deliver up to 60 TOPS of performance (format unspecified) and support BF16, FP16, FP8, INT8, and INT4 data types.

OpenAI has launched Daybreak, a new cybersecurity platform powered by GPT-5.5 and the Codex agent framework. Daybreak is designed to help tech companies identify and fix software vulnerabilities, and is a direct response to Anthropic's Project Glasswing.

The platform aims to embed cyber defense into software from the beginning of the development process, not just as an afterthought. Daybreak builds on the success of OpenAI's earlier GPT-5.4-Cyber model, which helped remediate over 3,000 security flaws.

It uses Codex Security to create an editable threat model from a company's software repository and focuses on the most realistic attack paths. It also validates fixes in an isolated environment, ensuring patches work without causing unintended issues.

OpenAI is fast-tracking a smartphone designed to upend the app-driven model of modern mobile computing, and it's coming sooner than expected.

According to supply chain analyst Ming-Chi Kuo, OpenAI is preparing to launch an AI-first phone that could directly challenge Apple's iPhone and Samsung's Galaxy lineup.

The device is said to leverage AI agents instead of traditional apps, offering a fundamentally new user experience for owners. Qualcomm and MediaTek are reportedly supplying the custom silicon, while Luxshare Precision Industry is handling manufacturing.

Google is prepping a major overhaul of its Gemini Agent, positioning it as your "24/7 digital partner" with expanded capabilities across web and app actions. Essentially, this upgrade would enable Gemini to be a fully fledged digital personal assistant, capable of carrying out multi-step tasks on your behalf.

According to decompiled code from the latest Google app beta, the updated feature promises deeper integration with your digital life, including real-time monitoring, proactive task handling, and preference learning.

This isn't just another AI assistant; it's a step closer to what some people are already designing with Claude Code and OpenClaw: fully autonomous personal agents. However, with Gemini Agent, it will be singular, whereas some with an OpenClaw setup are running multiple agents.

Backed by the AI boom, AMD recently disclosed some impressive earnings figures for Q1 2026. The company brought in $5.8 billion from its data center division, driven by record deployment of AMD EPYC processors and Instinct GPUs. AMD CEO Dr. Lisa Su had some interesting remarks regarding the ongoing debate about the importance of CPUs in today's agentic AI applications.

As we have covered before, CPUs are becoming increasingly important in Agentic AI deployments. While GPUs remain the primary driver, CPUs are no longer a back-of-the-mind consideration in these applications, and thus the demand for CPUs is going through the roof. This has led to multiple CPU price hikes from both Intel and AMD, as they reallocate resources toward more profitable AI and data center ventures.

Responding to an analyst, Dr. Lisa Su explained that the industry is moving swiftly toward a 1:1 ratio of CPUs to GPUs in Agentic AI applications. While this ratio has traditionally been 1:4 or even 1:8 in favor of GPUs, Dr. Su says we might eventually see CPUs overtake GPUs and become even more important. That does sound like a stretch, but such a prediction from an industry leader like Dr. Su cannot be simply ignored.

Anthropic is dramatically increasing Claude's usage limits after striking a massive compute partnership with SpaceX, highlighting how the AI arms race is quickly becoming a battle over infrastructure.

The company announced it has secured access to SpaceX's Colossus 1 AI supercomputer, gaining more than 300 megawatts of new compute capacity powered by over 220,000 NVIDIA GPUs. Anthropic says the added power will directly improve availability for Claude Pro and Claude Max subscribers, while also allowing the company to raise API and usage limits for developers substantially.

This is a major moment in the broader AI industry narrative. Companies like Anthropic, OpenAI, xAI, and Google are no longer just competing on models; they are competing on raw compute access. Anthropic has faced mounting criticism in recent months over aggressive Claude rate limits, especially surrounding Claude Code and Opus usage.

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