2026 has been a trying year for router manufacturers, as the Federal Communications Commission (FCC) has subjected leading companies to strict oversight and outright bans. As an olive branch of sorts, the FCC has handed out "conditional approvals" to be included on the Covered List to companies that have jumped through all the necessary hoops to satisfy the commission's concerns. Asus is the latest company to secure that approval, which was confirmed in an FCC notice issued this week.
According to the FCC, the following Asus networking products have been granted conditional approval:
RT Series
ROG GT Series
OG Strix GS Series
TUF Gaming Series
ExpertWiFi Series
ZenWiFi Mesh Series
5G MiFi Series
Wireless repeaters
Wireless access points
In other words, Asus' entire wireless networking portfolio is cleared for sale in the U.S., with the conditional approval granted until March 6, 2028 (18 months from the date of issuance). The FCC explains, "We find that each of the Conditional Approvals constitutes 'a specific determination' by [Department of War] that such devices do not pose risks to U.S. national security."
This latest move by the FCC is a welcome sigh of relief for Asus, a Taiwanese company with an extensive networking portfolio and some of the best Wi-Fi routers. More importantly, Asus is ready to unleash a whole new generation of Wi-Fi 8 products over the next year. Wi-Fi 8 promises significant reliability and quality-of-life improvements across a wide range of wireless devices, so having a front-row seat to the transition from Wi-Fi 7 to Wi-Fi 8 is pivotal for Asus.
We've already seen a concept ROG NeoCore Wi-Fi 8 router from Asus at CES this year, and the company announced its first consumer Wi-Fi 8 router, the ROG Rapture GT-BN98 Pro, in June. The ROG Rapture GT-BN98 Pro is promising a 2x uplift in real-world throughput compared to its current-generation Wi-Fi 7 products.
Asus joins Netgear and Amazon Eero/Leo on the conditional approval list. The largest player in the U.S. wireless router market is TP-Link, and it still hasn't gained FCC approval. The U.S. government's reluctance to approve TP-Link stems from uncertainty about its claims that it has no ties to the Chinese government or military. As a result, the company has not confirmed a release date for its newly announced Wi-Fi 8 "Ultra" routers in the U.S.
Adam Mosseri says platform’s algorithm ‘feels like a black box’ but company trying to give users more control after Labor announces opt-out plan
Instagram’s chief executive has said users will have a worse experience in an algorithm-free world, seeing more brand-related content, and spend less time on the app.
The comments come as the Australian government plans to give users the option to opt out of algorithms, with the prime minister, Anthony Albanese, announcing plans on Tuesday to require social media platforms to prompt users to choose between a feed of algorithm-recommended content or a reverse chronological feed of the pages users follow. Labor also plans to introduce a range of measures designed to address online harm on the sites.
Even if the legislation passes, tech companies may still find ways to frustrate its intent and keep Australians hooked on their feed
Social media could become a “choose your own adventure” between the doom-scrolling status quo, or just the feed of the friends you want to see, if the government’s planned digital duty of care legislation passes, and the tech companies don’t muck around on compliance.
Comcast is promoting the WiFi Motion feature of its free Xfinity Shield service, which uses Wi-Fi signals to detect movement in your home. It’s opt-in, but the underlying technology could theoretically do far more than Comcast acknowledges—including identifying individuals.
At Macstock, Mike Schmitz turns the tables and interviews Chuck Joiner about favorite memories from the event. They review the gathering’s beginnings after Macworld, the friendships formed and renewed each year, memorable moments and how some of the strongest connections come unexpectedly. A big part of Macstock is the the inspiration attendees take home; Mike […]
If you’re heading to Macstock Conference later this week, make sure you have everything you need to get the most out of this unique annual event. From the things you should do before you leave to the things that you need to have with you, the MacVoices’ Macstock Checklist will make sure you are ready for the year’s best Mac event. (Haven’t decided yet? On-site registration will be available!)
This Road to Macstock features a discussion with Brian Hensen about his evolving role as the event's master of ceremonies. From speaker wrangler to stage host. Brian previews how this year’s Macstock will let him spotlight the people who inspire him, comments on the event’s welcoming Apple community, and reflects on the value of shared learning, speaker preparation, podcasting, and personal connections that are at the core of the Macstock experience.
A video tour of the AGI House in San Francisco as MacPaw’s Flip the Script event at WWDC 2026 highlights the venue’s AI-focused mission and MacPaw’s emphasis on connecting with developers around its AI initiatives.
At the Flip the Script event during WWDC 2026, Arina Shapran, Head of of Social Media and Community for MacPaw, talks about the role of social platforms in modern marketing, intentional online engagement, and building meaningful communities. Arina’s perspective highlights their efforts for developers, vendors, and partnerships behind Setapp, while considering how AI and vibe coding are changing product creation.
The Greenlink Connector, which costs $580 million (GBP 430 million) and connects Ireland to Wales via an undersea power cable, was rerouted after scores of Harry Potter fans complained that it would go through the grave of the beloved house elf “Dobby.” According to The Guardian, project manager Simon Ludlam pointed out in a BBC interview that the cable would transition underwater at Freshwater West. Unfortunately, Ludlam was unaware that this was the filming location for the site where the Harry Potter character was buried in the movie franchise. When the BBC aired the clip, the project began receiving hundreds of calls about the site.
Ludlam recounted to The Guardian a discussion with a colleague when they told him, “Apparently, we’re going to go straight through Dobby’s grave.” He answered, “Dobby? Who’s Dobby? I don’t know Dobby.” It seemed that the project manager was in disbelief when it was finally explained that Dobby is the freed house elf who was killed in the process of rescuing Harry Potter and his friends in the last book. “He is a fictitious character in a fictitious book — the whole thing is fictitious. What are you talking about?” Ludlam said, after which his colleague replied, “No, it’s very, very serious.” In the end, the company working on the project acquiesced to the demands and concerns of the Harry Potter fans and rerouted it. “A lot of people were very happy about that, and the project is now going [ahead], and Dobby’s happy,” the project manager said.
The Shell Cottage, where Dobby is buried, is on the outskirts of the fictional town of Tinworth, in Cornwall, but the original film series shot the scene in Freshwater West. Many Harry Potter fans leave stones marked with “Here lies Dobby, a free elf,” as a nod to the epitaph that the titular hero left on his grave. The National Trust, which owns the land, has previously warned pilgrims not to do so, as the area is ecologically sensitive, but it seems that people still do so. The fans’ resistance to having Dobby’s “grave” desecrated seemingly prevented the undersea cable from going through the area. It was instead rerouted in an area that was close to some Bronze Age remains and urns, which, ironically, are associated with human burial.
Undersea cables are crucial infrastructure connecting distant locations for sending information, power, and other crucial resources. Many of them face increasing threats, especially in areas that face geopolitical pressure, like Taiwan and the Baltic Sea, which is why companies are creating technologies to help detect intentional tampering. However, it seems that the one thing that the planners of this particular project did not take into account is the passion of Harry Potter fans.
As Elon Musk, Peter Thiel and their peers have grown richer and more influential, Gil Durán argues they have all but abandoned democracy – and found the perfect government to enable them
In April, Gil Durán was permanently banned from Elon Musk’s X for posting just two words. Durán was responding to a post from the tech company Palantir outlining its 22‑point “technological manifesto”, which praised American “hard power”, western culture and AI weapons, denounced inclusivity and called for compulsory national service. Durán responded: “TLDR: Fascism” (TLDR is short for “too long, didn’t read”).
Durán didn’t break any of X’s written rules, he points out over a video call from San Francisco – so much for Musk’s “free-speech absolutism”. His ban might just have had something to do with his preceding tweet, showing the cover of his new book, The Nerd Reich: Silicon Valley Fascism and the War on Democracy. The book’s central argument is that big tech is no longer our friend, as many of its billionaire owners have seized economic and political control and are steering the fate of the planet towards their own bizarre, apocalyptic visions.
Ruling comes as part of second phase of landmark trial that found social media company enabled harm against users
A New Mexico court has ordered Meta, the parent company of Facebook, to pay $567m into a fund aimed at redressing adverse mental health impacts from the social media giant’s platforms.
The Thursday ruling comes as a part of the second phase of a landmark trial the social media giant lost in March. At the time, a jury found that the company knowingly harmed children’s mental health and concealed what it knew about child sexual exploitation on its platforms, and imposed the maximum penalty: a $375m fine.
A developer has created a proof-of-concept data transfer system that shuns any dedicated app requirement and neatly sidesteps mandatory networking, pairing, or giving permissions beyond camera access. Instead, the method transmits information between devices by streaming data via rapidly updating QR codes at up to 60 FPS via the browser your smartphone already has. The test info shared by developer bashalarmistalt on GitHub backs claims that these transfers can run at up to 190 KB/s. This low-friction two-device screen-to-camera data transmission technique is dubbed Decimen Optical Transfer: fountain-coded QR file transfer.
The GitHub project is linked to by Redditor Alstroph, who seems to be the same person. We’ve chosen to embed the Reddit post about the Decimen Optical Transfer solution above, as it includes an illustrative video of a QR code-driven data transfer.
Bashalarmistalt/Alstroph says they used Claude Code to build this cached web app, which simply runs on both smartphones within the browser, with camera permissions given. They explain that they came up with the idea behind Decimen Optical Transfer to create “a phone-to-phone file transfer option without requiring the phones to be on the same network.” After a modicum of chin stroking, they settled upon the possibility of using “rapidly flashing QR codes” to brew up this proof-of-concept.
Far more detailed information about the project is available in the GitHub repository, linked above. There we also read that the use of ‘fountain codes’ was instrumental to the technique, ensuring missed frames and retransmission quirks don’t hinder the data transfer process. Also, it is explained that every streamed QR code frame is self-describing, as a “20-byte header carries the session ID, sequence number, block count/size, file length, and a hash.”
Hints are provided for tuning Decimen Optical Transfer performance with the PoC solution. The dev used an iPhone and the Apple ProMotion camera with stacked codes; they achieved ~128 KB/s handheld data transfers. The data rate could climb to ~186 KB/s speeds if both the sender and receiver devices were positioned absolutely stationary.
The Decimen Optical Transfer software is distributed under the generous MIT license. Bashalarmistalt is aware that there have been several prior projects but asserts the concept behind their Claude Code-aided solution was arrived at independently. We’ve also covered QR code-based data storage tech numerous times. For example, Cerabyte famously uses microscopic QR codes for its ultra-long-life ceramic storage.
Microsoft cloud and Azure services hosted on the West Coast of the US went down for hours on Thursday when network connectivity failed. Although services running entirely within Microsoft’s West US cloud region were unaffected, any traffic entering or leaving the facilities was affected.
Microsoft has now published a Preliminary Post Incident Review (PIR) of the incident, reporting that connectivity was lost for five hours between 14.44 UTC (7.44 a.m. Pacific Time) and 19.41 UTC on July 23. The problem was caused when a set of IP routes was removed in error while isolating a device for routine maintenance.
Before starting the maintenance work, Microsoft checked that at least one of the two redundant paths to the facility remained operational. When it came to starting the work, however, automated systems included some additional devices in the perimeter to be isolated, and removing some IP routes that had not been included in the initial assessment.
Customers discovered the problems very quickly, and engineers identified the issue within the first hour and started to reconnect services. Microsoft said the disruption had been caused by some “recent fiber maintenance activity”.
To minimize the risk of disruption from such errors in the future, Microsoft advised organizations handling mission-critical data to consider a multi-region approach.
AMD executives took to the stage at its Advancing AI 2026 event in San Francisco today to detail the company’s next generation of AI infrastructure solutions, from Instinct MI455X AI accelerator GPUs and 6th Gen EPYC “Venice” CPUs, to Pensando networking, ROCm.AI software and its Helios rack-scale platform that ties it all together.
AMD has been working towards rack-scale AI system solutions for years. Its ZT Systems acquisition last year added valuable engineering talent and intellectual property that is now finally bearing the real fruits. Its Helios AI platform is a major platform evolution for AMD, with shipments scheduled to begin in the second half of this year (which is here and now).
The announcements at Advancing AI show how the company has engineered its AI platform solutions for large reasoning models, sustained inference and agentic workflows. These workloads pressure memory capacity, data movement, networking and CPU orchestration. AMD’s approach is to keep as much data close to the compute engines as possible and move it more efficiently throughout the system, but there’s deeper nuance here that’s obvious versus AMD’s chief rival, NVIDIA.
AMD’s MI455X targets the AI memory wall
The Instinct MI455X GPU is the compute engine that fuels the Helios rack, and the first GPU based on AMD’s new CDNA 5 architecture. Built with a modular mix of 2nm and 3nm chiplets, it carries 432GB of HBM4 and 23.3TB/s of peak memory bandwidth.
Compared to AMD’s current MI355X, the MI455X offers 1.5 times the memory capacity, up to 2.9 times the peak memory bandwidth and up to four times the peak matrix performance with MXFP4 and MXFP8 data types, which are lower-precision numerical formats designed to accelerate AI processing while reducing memory demands. With MXFP6 (6-bit floating point), performance is rated at up to twice that of MI355X.
AMD also shared some actual, measured internal results using production silicon. The company claims MI455X delivers 3.8 times higher FP8 decode performance, 3.5 times more measured FP4 compute performance and between 2.5 and 3.5 times more networking bandwidth than MI355X, depending on the transfer path tested. Those figures provide more context than just numerical specifications, though they remain AMD-provided comparisons that will need independent validation.
AMD
The architectural choices behind the numbers are important. Reasoning models and long context windows require sizeable KV caches for maintaining AI attention states, while mixture-of-experts models frequently move large amounts of data across accelerators. MI455X should let more model data, activation states and cache remain local. New dedicated IP in hardware can transfer data while the GPU continues processing, and expanded cache and multicast capabilities are designed to reduce redundant data movement to further improve efficiency.
The aforementioned lower-precision formats can also raise throughput and reduce memory use, but model developers still have to determine where they can be applied without unacceptable accuracy loss.
AMD’s Helios rack takes aim at Vera Rubin
Dave Altavilla
Helios is AMD’s primary rack-scale competitor to NVIDIA’s Vera Rubin platform. Each liquid-cooled rack combines 72 MI455X GPUs, 18 single-socket Venice host CPUs and Pensando networking technologies.
In its most complete, premium configuration, AMD rates Helios for 2.9 exaflops of low-precision AI compute, with 31TB of aggregate HBM4 capacity, 1.7PB/s of memory bandwidth, 260TB/s of bidirectional scale-up bandwidth and 43TB/s of scale-out bandwidth.
These are formidable figures, but they are technical specifications rather than actual application benchmarks. The more consequential development is AMD’s move from collections of eight-GPU servers to a 72-GPU shared-memory domain. Models too large for one node can operate across the rack without treating every exchange as a scale-out networking transaction, which benefits large-model inference as well as training.
AMD uses UALink over Ethernet, or UALoE, for an open standard scale-up fabric. Each MI455X provides 3.6TB/s of bidirectional scale-up bandwidth, while the complete rack delivers all-to-all connectivity through a single switch layer. AMD also claims six times more scale-out bandwidth per GPU than MI355X when MI455X is configured with three Pensando Vulcano 800 AI NICs.
While open standards give cloud providers more control over suppliers and system design, AMD and its partners now have to prove those components can deliver the predictable performance, reliability and deployment experience customers expect from a tightly controlled, more vertically integrated platform.
Finally, AMD designed Helios with automatic rerouting around failed links, virtual rack partitions, tray-level serviceability and rack-wide power, cooling and health monitoring. Major hyperscalers and potentially large-scale enterprise customers will likely key in on these capabilities, which can affect the availability, total cost and consistency of the AI services they consume.
Kind of like cowbell, AMD Venice gives agentic AI more CPU
AMD
AMD’s agentic CPU messaging regarding its upcoming Venice-based EPYC processors is mostly marketing speak, but the underlying requirement is very real. An AI agent can invoke retrieval, databases, security checks, code execution and other tools before a GPU generates a response. Running many agents concurrently increases the amount of conventional compute requirements surrounding the accelerators.
Venice scales to 256 Zen 6 cores with support for 512 threads, 16 memory channels, up to 1GB of L3 cache per socket, along with PCIe 6.0 and CXL 3.1 connectivity. AMD is also offering several Venice configurations for other applications, including general-purpose servers, high-frequency workloads, GPU hosts and high-density CPU sandbox systems used to execute agent tools.
Treating the CPU solely as a GPU host understates its role. Gateways, tokenization, vector search, databases and short-lived code execution stress different mixes of per-core performance, thread count, memory bandwidth and I/O. Specifically, AMD’s internal testing shows Venice significantly outperforming its current EPYC 9965 Turin CPU across five parts of the agentic AI pipeline, including gateway processing, context assembly, vector search, enterprise applications and short-lived tool execution. Individual gains vary by workload, but AMD details the overall generational improvement at up to a 1.7 times lift. As with the MI455X figures though, these comparisons come from AMD and will require independent validation.
Pensando networking and ROCm software advance
Keeping GPUs fed with data and coordinating traffic across racks directly affects utilization and operating costs. In fact, GPU utilization is a pretty sad state of affairs currently for some of the major frontier model providers.
As such, Pensando networking has become central to AMD’s roadmap. Helios can connect each MI455X to as many as three 800Gbps Vulcano AI NICs, while Salina DPUs handle front-end networking and infrastructure services.
On the software side, which is an equally critical component, AMD also introduced ROCm.AI, an AI-assisted development layer due to arrive in August. It includes reusable skills for coding agents, simplified management and Hyperloom, which can profile workloads, tune serving configurations, modify kernels and validate results.
These tools address two persistent AMD challenges: developer efficiency and ease of use, and software tuning. Automated optimization still has to produce repeatable gains without creating hard-to-maintain code, however. And while ROCm has progressed significantly over the last few years, NVIDIA’s CUDA retains an advantage in maturity, tooling and developer familiarity.
AMD now has commitments that give its MI450 generation and Helios considerably more weight. Meta and OpenAI have announced multi-generation agreements composed of up to 6GW of AMD compute capacity, with initial 1GW deployments planned for the second half of 2026.
Oracle plans a 50,000-GPU public cloud cluster beginning in the third quarter, while Microsoft will deploy Helios for Azure AI inference. Finally, just before the AMD event, Anthropic announced a strategic partnership for up to 2 Gigawatts of AMD-fueled AI compute, with its first gigawatt expected online in the first half of 2027.
Commitments of this scale reflect confidence in more than just MI455X performance. These customers are evaluating the complete architecture, including Venice CPUs, Pensando networking, ROCm software, rack integration, serviceability and AMD’s ability to deliver and execute across multiple product generations.
There is some financial alignment behind the agreements as well. AMD issued OpenAI performance-based warrants and committed to investing up to $5 billion in Anthropic. That context matters when evaluating these deals as market validation, but these planned deployments are substantial nonetheless and put Helios on a much stronger foundation as it begins shipping.
AMD expands its robotics and embedded foundation
AMD also expanded its physical AI portfolio, building on credible traction from its Xilinx-derived Kria adaptive system-on-modules and embedded technologies that are already powering robotics, machine vision and industrial automation applications.
The new Ryzen AI Embedded X100 combines up to 16 Zen 5 CPU cores, integrated Radeon graphics, a second-generation NPU and as much as 128GB of unified LPDDR5X memory shared across its compute engines. To me this looks a lot like a repackaging and optimization of the company’s Strix Halo platform, but with specific optimizations for the embedded space. Regardless, AMD is pairing X100 with the Kria AI Robotics Developer Platform, which includes a System Module or SOM, and a new Robotics Partner Network spanning hardware, software and platform providers.
Samples began shipping in June, with full production expected in the fourth quarter. This broader objective is to give developers a path across AMD x86 CPUs, GPUs, NPUs and FPGAs for real-time autonomous systems, rather than requiring them to assemble those hardware engines and software components independently.
Execution for AMD is now the test
AMD has assembled a credible platform for the burgeoning agentic AI market that’s blowing up currently with no signs of stopping. MI455X addresses memory and data movement, Venice handles dense agentic CPU workloads, Pensando networking connects global system resources, and ROCm.AI addresses software complexity. Finally, Helios assembles these components into a true competitive threat for NVIDIA’s latest Vera Rubin platform.
AMD’s open architecture may appeal to customers seeking supplier choice, but openness must also translate into reliable deployments, competitive total cost and software that does not require a significant rip-up. NVIDIA enters this cycle with a stronger ecosystem and far more rack-scale deployment experience. The true test will be how easily and reliably customers can integrate, operate and maintain these AMD solutions at scale.
As it stands, AMD now has major customers and a clearly defined architecture with systems engineering expertise behind it. Delivering Helios on schedule and showing that its performance claims translate into a real production workload throughput advantage and total cost of ownership gains will determine how much the competitive gap narrows. And of course, this is in a market that is clamoring for ever-more compute resources with a seemingly insatiable demand for AI services and capacity. That’s an environment for big iron success. Now AMD just has to deliver optimized, turnkey AI platforms. This is far easier said than done, but time will soon tell as deployments take shape this year.
This article is published as part of the Foundry Expert Contributor Network. Want to join?
Tired of clunky email triage on your iPhone? Avec’s swipe-based interface lets you quickly sort important messages from noise, using AI to prioritize what matters. It’s Gmail-only and iPhone-only for now, but IMAP support is promised and a desktop version is coming.
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