At the architectural level, Command A+ represents a major evolution from Cohere’s previous dense models. It is a decoder-only Sparse Mixture-of-Experts (MoE) Transformer.
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While the model houses a relatively modest 218 billion total parameters, even fewer — only 25 billion — are active during any given generation step. It’s a much lighter footprint and requires far less compute resources to run in inference (serving the model in production environments to end users or via agents) than the proprietary U.S. giants like OpenAI’s GPT-5.5 and Anthropic’s Claude Opus 4.7, which are estimated by third-party observers to be in the trillions of parameters.
This sparse architecture is the key to the model’s efficiency. In plain terms, an MoE model routes incoming queries only to the specific “expert” neural networks best suited to handle them, leaving the rest of the model dormant.
This is a familiar formulation and one followed by most leading LLMs these days, allowing models to retain the vast knowledge base and nuanced reasoning capabilities of a giant, but at the faster speeds and reduced compute and energy requirements of a much smaller model, since only a fraction of parameters are ever activated at any time.
But where Cohere has taken an extra step beyond most for Command A+ is that it has focused heavily on hardware efficiency through quantization—a process that compresses the model’s memory footprint by reducing the precision of its parameters.
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Command A+ is available in 16-bit (BF16), 8-bit (FP8), and a highly compressed 4-bit (W4A4) format.
The W4A4 quantization is the technical centerpiece of this release. Typically, reasoning models suffer an outsized “quantization tax,” where compressing the model leads to visible regressions in complex problem-solving.
Cohere mitigated this by only quantizing the MoE experts to 4-bit, while keeping the critical attention pathways at full precision, supplemented by a technique called Quantization-Aware Distillation.
The result is a nearly lossless compression that allows this massive model to run on a single NVIDIA Blackwell B200 GPU or just two NVIDIA H100 GPUs.
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The speed gains are equally notable. According to performance data released by the company, the W4A4 quantization at low concurrency achieves 375 tokens per second (TOPS) with a Time-to-First-Token (TTFT) latency of just 113 milliseconds—representing up to a 63% increase in output speed and a 17% reduction in latency compared to the previous Command A Reasoning model.
Furthermore, Cohere has overhauled the model’s tokenizer. Tokenizers break text down into the fragments that AI models process. The new tokenizer is highly optimized for global enterprise use, featuring native support for 48 languages.
More importantly, it dramatically improves tokenization efficiency for non-European languages, reducing the number of tokens required to generate responses in Arabic by 20%, Japanese by 18%, and Korean by 16%. Because inference costs are calculated per token, this translates directly to lower operational costs for global, multilingual or non-English deployments.
Agentic workflows and high benchmarks on math, specialized fields
While raw speed and size dictate deployment, a model’s utility is defined by its product capabilities. Command A+ was built specifically for “agentic” tasks — workflows where the AI operates autonomously or semi-autonomously, uses external tools, queries databases, and synthesizes information across multiple steps.
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The benchmark leaps over the previous generation are stark.
On 𝜏²-Bench Telecom, which tests complex reasoning, the model jumped from a 37% score to 85%. On Terminal-Bench Hard, which measures agentic coding performance, it climbed from 3% to 25%. In complex mathematics, it scored 90% on AIME 25, up from 57%.
Command A+ punches above its weight class (25B active parameters) in pure reasoning and mathematics, competing directly with much larger models like DeepSeek V4 Pro on math benchmarks. However, for deep agentic coding and general broad-scale intelligence indexing, it currently trails behind the latest generations from Chinese open source rivals like DeepSeek, Z.ai (GLM), and MiniMax.
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That said, comparing them directly ignores Cohere’s core value proposition: hardware efficiency.
Beyond the benchmarks, Command A+ introduces deep integrations for enterprise trust and verification. The model supports conversational tool use via standard chat templates, allowing developers to connect it seamlessly to internal APIs, search engines, or SQL databases.
Crucially, Command A+ features native citation generation. When Command A+ retrieves information from an external tool, it doesn’t just synthesize the answer; it generates explicit “grounding spans.” Using special tags embedded in the output, the model directly links every factual claim it makes to the specific source document or database row it pulled the information from.
For enterprises heavily regulated industries like finance, healthcare, or legal, this traceability is the difference between an interesting prototype and a production-ready application. If a user asks for a daily sales report, the model will output the total sales amount and explicitly cite the database query result that provided that number, minimizing the risk of undetected hallucinations.
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Additionally, Command A+ is fully multimodal, capable of processing both text and images natively within its massive 128K input context window, making it highly effective for complex document processing, such as analyzing scanned invoices, charts, or technical manuals.
The first fully Apache 2.0 licensed Cohere AI model
In the current AI landscape, “open source” has become a fraught term. Many leading AI companies release their model weights under restrictive commercial licenses or acceptable use policies that explicitly forbid large enterprises from using the models for commercial purposes, or prohibit the models from being used to train competing AI systems.
Indeed, Cohere’s prior models, including Command R and Command R+, were released under a CC-BY-NC 4.0 (Creative Commons NonCommercial) license. While their model weights were open for researchers and developers to download, tinker with, and evaluate, they were strictly prohibited from being used for commercial purposes without purchasing a separate enterprise license from Cohere or going through its application programming interface (API), similar to the arrangement many enterprises use for accessing AI models from OpenAI, Anthropic, Google and other leading labs.
Cohere has changed up its approach by releasing Command A+ under the Apache 2.0 license. This is a critical distinction for the developer community. Apache 2.0 is a true, OSI-approved open-source license. It allows anyone—from independent developers to Fortune 500 corporations—to use, modify, distribute, and commercialize the model without paying licensing fees or adhering to restrictive non-compete clauses.
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As Gomez wrote on X, the decision was championed by fellow Cohere co-founder Nick Frosst, who posted a two-minute long overview calling it “the best model we’ve ever put out.”
For the enterprise, this license means total vendor independence. A company can download the Command A+ weights, fine-tune them on highly classified internal data, and deploy them on their own private servers or air-gapped networks. They are not tethered to Cohere’s infrastructure, pricing changes, or API uptime. It is the ultimate realization of sovereign AI.
The release was met with immediate traction across the AI developer ecosystem, driven heavily by its day-one integration with major open-source inference frameworks like Hugging Face and vLLM.
What’s next?
The release of Command A+ marks a maturing of the open-source AI ecosystem. By combining frontier-level reasoning, robust agentic tool use, and multimodal capabilities with an architecture specifically designed for hardware efficiency, Cohere is changing the calculus for enterprise AI adoption.
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The requirement of massive, centralized compute clusters has long been a bottleneck for companies prioritizing data privacy and cost control. By democratizing access to a model of this caliber under a true open-source license, Cohere has provided the enterprise market with exactly what it has been asking for: the power of the cloud, capable of running securely in the server room down the hall.
Kids can be messy. If they grab your iPhone they might leave a smudge on your camera lens. And it’s not always your kids’ fault, either. Adults can get dirt on your camera lens, too. So your photos might not look great and you’ll probably have to take the pic over and over again. Luckily, iOS 26 includes a feature that can warn you when your camera lens needs cleaning, that way you don’t waste a perfectly good sunset or other Instagrammable moments.
Apple released iOS 26 in September 2025, and it brought a handful of new features to your iPhone, including call screening, new ringtones and more. It also introduced an easy-to-overlook feature called Lens Cleaning Hints. When this feature is enabled, your iPhone will display a message that your camera needs to be cleaned.
This feature was automatically enabled for me after I downloaded iOS 26 but here’s where to find it in case it’s not turned on for you. It’s important to note that it’s only available on iPhone 15 and later models, so if you have an iPhone 14 Pro, you won’t see this option.
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How to enable Lens Cleaning Hints
1. Tap Settings. 2. Tap Camera. 3. Tap the Lens Cleaning Hints toggle near the bottom of the menu.
Apple/Screenshot by CNET
Once enabled, your iPhone will detect if its front camera lens is dirty and your device will tell you to clean it to improve your image quality. It’s a nice way to make sure you always get a good picture and it could be helpful if you let your kids play with your phone, leaving smudges all over it.
Chord Electronics has officially launched the Quartet upscaler, a £25,000 reference-class digital audio component that the British manufacturer is positioning as one of the most important products in its 37-year history. That is not a timid claim, but Chord’s longtime digital designer Rob Watts has never been especially bashful about where he thinks digital audio still falls short.
On a recent episode of the eCoustics Podcast, Watts had plenty to say about the current state of digital playback, and the Quartet feels like the hardware expression of that argument. At its core is the new Blackbird WTA filter, which Chord says represents the most advanced filtering technology it has ever put into a consumer audio product.
The goal is not just higher numbers for the brochure. Quartet is designed to reconstruct digital audio with greater timing precision, partner with Chord Electronics DACs, and push the flagship DAVE DAC to its full 768 kHz capability.
The surprise is the inclusion of a built-in ADC, which allows analog sources, including turntables, to be converted and upscaled through Quartet for the first time in a Chord Electronics upscaler. Vinyl into a £25,000 digital timing machine? Somewhere, a purist just dropped his carbon fiber record brush.
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Chord Electronics Quartet Upscaler (front)
The Digital Audio Problem Quartet Was Built to Fix
“Conventional digital audio is like putting a steak through a mincer and expecting to reconstruct the original from the mince.”
Rob Watts does not exactly ease into the subject. His point is that when analog sound is converted to digital and then back again, the process is not as harmless as many would like to believe. Something gets lost, and for Watts, the most important issue is timing.
The problem centers on transients, the leading edges of musical notes that help the brain identify pitch, timbre, spatial placement, and the shape of a performance. When those transients are even slightly mistimed, the result can be a loss of depth, separation, and the natural sense of musicians occupying a real acoustic space.
That is the issue Chord Electronics says the Quartet upscaler was created to address. Rather than simply chasing bigger numbers, Quartet uses advanced interpolation to reconstruct the missing information between digital samples with far greater timing accuracy. In other words, it is trying to put the steak back together. Good luck doing that with supermarket mince, but that is the mission.
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Chord Electronics Quartet Upscaler (back)
Blackbird WTA: Four Million Taps, Five FPGAs, and No Digital Shortcuts
Chord Electronics’ previous M Scaler used one million filter taps to reconstruct digital audio timing. The new Quartet raises that figure to four million taps, implemented across five Xilinx FPGAs. For the non-engineers still standing, taps are a measure of interpolation filter complexity. More taps allow the filter to make a more sophisticated calculation about what should exist between digital samples.
According to Chord Electronics, the new Blackbird WTA filter delivers a tenfold improvement over the previous-generation WTA filter and a tenfold improvement in transient timing accuracy. That is the company’s argument for why Quartet is not just an M Scaler with a fancier jacket and a scarier price tag. It also has five times the FPGA processing power of the flagship DAVE DAC.
The more important claim is that nearly all of the Blackbird WTA filter’s mathematical coefficients approach the theoretical ideal, known as the sinc function. In plain English, that is the target for a perfect reconstruction filter. Chord’s position is that Quartet can reconstruct the timing of a musical performance with far greater accuracy than its previous upscaling technology.
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Another key distinction is how the filtering is performed. Quartet implements its filtering directly in hardware rather than relying on FFT convolution, a software-based approach that converts audio into frequency data, applies processing, and then converts it back. Chord argues that this process can introduce the same timing errors it is supposed to fix. Convenient? Yes. Innocent? Not according to Watts.
The claimed sonic result is better transient accuracy, more clearly defined bass pitch, improved timbral realism, and a stronger sense of space and reverberation. In other words, Chord is not saying Quartet merely sharpens the picture. It is claiming the device restores more of the timing information that helps music sound like musicians in a room, not data being reassembled by a very expensive toaster.
Chord DAVE (top) with Quartet (middle and bottom)
A Chord Electronics First: Quartet Adds an ADC for Analog Sources
Quartet is the first Chord Electronics upscaler to include a built-in analog-to-digital converter, or ADC. That matters because it allows analog sources, including turntables, tape machines, and other line-level sources, to pass through Chord’s upscaling technology for the first time.
Most of the digital audio conversation focuses on the DAC, which converts digital audio back into analog sound. But the ADC is just as important because it handles the first step: turning an analog signal into digital data. If that first conversion gets it wrong, everything downstream is working with damaged goods. You can season it later, but the steak has already been mistreated.
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Chord’s argument is that conventional ADCs can suffer from aliasing, a form of distortion where ultrasonic noise folds back into the audible range. In practical terms, that can corrupt the timing information that helps music sound clean, spacious, and natural. Standard professional recording systems often use half-band filters to control this problem, but Chord claims those filters can introduce their own timing compromises.
Quartet uses a custom Pulse Array ADC with proprietary decimation filters designed to remove aliasing from its 104 MHz noise-shaper output. That is a mouthful, but the basic idea is straightforward: Chord is trying to preserve very small signal details during the initial analog-to-digital conversion without adding measurable noise floor modulation.
For listeners, the promise is simple. Analog sources can now be converted into digital with greater precision before Quartet applies its upscaling. That means a turntable or master tape source can benefit from Chord’s timing-focused digital processing, rather than being left outside the party like a vinyl purist with muddy shoes.
Chord DAVE and Quartet in black finishes in Ensemble Stand System (not included).
Preserving Transients From Analog Sources
The sonic argument for Quartet’s built-in Pulse Array ADC is not just that it converts analog sources into digital. Any ADC can do that. The point is that Chord Electronics claims Quartet does it while preserving the tiny timing cues that make music sound human rather than mechanically reassembled.
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That matters most with sources like master tapes, turntables, and other analog components, where the signal starts and stops in extremely subtle ways. Those leading edges, or transients, help the brain understand where instruments are located, how they are shaped, and how they interact with the space around them.
In listening comparisons using master tapes, Chord says Quartet’s ADC delivered a major improvement over high-end professional studio converters. That is a serious claim, and not one likely to make every studio engineer spill espresso on the SSL console. But the idea is straightforward enough: if the ADC preserves more of the original timing information, instruments should sound less flattened, less mechanical, and more like performers occupying a real acoustic space.
For anyone using analog sources, that is the real appeal. Quartet is not simply digitizing vinyl or tape for convenience. It is designed to convert analog signals into digital while keeping the start, stop, texture, and spatial clues of the performance intact. That is the difference between capturing the event and filing a very expensive police report about what used to be there.
Two Boxes, Cleaner Power, and Lossless Digital EQ
Quartet is a two-box design, which means the main upscaler and the power supply live in separate chassis. That is not just audiophile theater with extra aluminum. Moving the power supply away from the signal-processing hardware can help reduce electrical noise, which matters when a product is trying to preserve microscopic timing information.
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The separate power supply was designed by Rob Watts and incorporates sophisticated RF rejection. RF stands for radio frequency noise, the kind of electrical interference that can sneak into audio circuits and degrade performance. Chord’s proprietary pinch-off RF filter architecture is designed to stop internal noise from spreading through the signal path. The goal is to deliver the kind of low-noise performance often associated with battery-powered products, while still running from mains power.
Quartet also includes a 108-bit, ten-shelf lossless digital EQ, technology first seen in the Mojo 2, with ±18 dB of adjustment. In normal-person terms, that gives listeners precise tone-shaping control without throwing away digital resolution in the process. That could be useful for older recordings, wildly inconsistent masterings, or albums from certain decades that sound like they were mixed inside a filing cabinet.
Connectivity includes isolated USB-B, dual BNC outputs supporting up to 768 kHz, optical connectivity, and RCA analog inputs for the built-in ADC. Quartet also provides programmable latency from 10 milliseconds to three seconds, which helps with audio-video synchronization. That means it can be integrated into systems where timing between picture and sound actually matters, rather than forcing you to watch lips move like a badly dubbed crime drama.
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The Bottom Line
The Chord Electronics Quartet is a £25,000 digital upscaler designed to improve the timing accuracy of digital audio before it reaches a DAC. The production version will be shown at HIGH END 2026 Vienna from June 4.
The key upgrade is Chord’s new Blackbird WTA filter, which increases processing from the M Scaler’s one million taps to four million taps and is claimed to deliver a tenfold improvement in transient timing accuracy. In plain English, Quartet is trying to make digital music sound more natural by better reconstructing what happens between the samples.
The other major difference is the built-in Pulse Array ADC, which allows analog sources like turntables, tape machines, and line-level components to be converted and processed through Chord’s upscaling system for the first time.
Price & Availability
The Chord Quartet is available to order now priced at £25,000. It is supplied with a five-year warranty and is available in Argent Silver or Jett Black. Chord DAVE is available now for $14,900.
If not for my love for Arc Browser, which has sadly become an abandonware, I would have used Vivaldi. No other browser comes even close to the customization and features it offers. And with its latest version 8.0 update, Vivaldi is making an even stronger case to ditch other browsers in its favor.
I like that while browsers like Google Chrome and Microsoft Edge have been busy packing AI into every corner, Vivaldi has been quietly delivering features users actually want.
The headline feature is a new design language called “Unified”. Previously, the different parts of the browser, tabs, toolbars, panels, and the content area all existed as separate, slightly disconnected layers. Unified removes those boundaries and places everything on one continuous surface.
Is this just a visual refresh or something more?
When you apply a theme in Vivaldi 8.0, it flows through the entire browser without interruption. A dark theme is dark everywhere, not just in some parts. Wallpapers feel like part of the environment rather than something pasted on top. When you apply a wallpaper, it flows not only to the main window but also to the top bar, the address bar, and the tabs, giving the browser a unified look.
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Digital Trends
Vivaldi has also added a fresh collection of default themes, and if none of them feel right, there are over 7,000 community themes you can choose from. If you prefer the old look, you can keep it. This is Vivaldi, after all, and you always have the final say.
Feeling overwhelmed by all the options?
One of the issues with Vivaldi was that it overwhelmed users with all its customization options. To solve this issue. Vivaldi 8.0 ships with six preset layouts to help new users get started.
Digital Trends
You can choose between a clean, minimal setup, tabs on the side, a full-screen browsing experience, or the classic Vivaldi look. I love this from Vivaldi, as it will ease the user onboarding process. If you like what you see, you can download Vivaldi 8.0 today for free on Windows, macOS, and Linux.
As the concept of “digital sovereignty” takes hold globally, an increasing number of countries are implementing blocks on major communication platforms like TikTok, X, and WhatsApp.
For governments, controlling these apps is a way to manage the flow of information; for citizens and visitors, it represents a massive digital roadblock.
In high-surveillance zones, the reality is even starker. State-run Internet Service Providers (ISPs) actively monitor public networks to track user sentiment and analyze app traffic, meaning every unencrypted message or search query can potentially be intercepted by local authorities.
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For travelers and remote workers, unrestricted internet access is needed to communicate with family back home, manage finances, and find essential local information.
Finding the best VPN is no longer just a workaround to watch your favorite Netflix shows abroad; it is a critical safety tool.
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Simply downloading a basic virtual private network is no longer enough. Advanced government firewalls can now easily detect standard VPN traffic signatures. If the firewall sees that you are using a VPN, it will instantly throttle or block your connection.
To overcome this, you need a provider that offers “obfuscation.” This technology scrambles your VPN data, stripping away its recognizable signature so it looks like standard, unblocked HTTPS web traffic to anyone snooping on the network.
However, you should be aware of the technological limits. While a premium VPN can perfectly bypass regional IP blocks, it cannot circumvent social media access if the platform itself mandates local ID or phone number verification to create an account.
In these extreme censorship environments, decentralized networks like Tor offer a basic, highly anonymous alternative for text-based communication. Just keep in mind that the Tor network is notoriously slow, making it practically useless for media-heavy apps.
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What to look for in an effective VPN
When operating in monitored regions, your digital toolkit needs specific technical safeguards.
Chief among these is a kill switch. This is a non-negotiable feature that immediately cuts your device’s internet traffic if the VPN connection drops, preventing your actual IP address and data from being exposed to local ISPs.
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If anonymity is your primary concern, look into a Double VPN (or multi-hop) feature. This passes your traffic through two separate encrypted servers (for example, routing your data through London and then New York) to maximize privacy.
Be warned, however, that encrypting your data twice will heavily degrade your connection speeds.
We are also seeing a massive shift in how travelers connect upon arrival. NordVPN’s Saily eSIM integration and ExpressVPN’s Holiday.com offer with Pro plans now provide encrypted cellular data the second your plane touches down.
While incredibly convenient, budget-conscious travelers should note that pairing a standalone travel eSIM with a separate, independent VPN subscription often yields lower total costs.
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Whatever route you choose, remember the golden rule of digital travel: download and install all your VPN software prior to departure. Once you cross the border into a high-surveillance zone, provider websites are almost always the first things blocked.
Staying safe in 2026
Maintaining privacy and communication requires serious preparation before entering heavily monitored regions. You must constantly balance the use of powerful tech tools with a clear understanding of your host country’s local regulations.
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To make sure your devices are fully prepared, be sure to check out our comprehensive Best VPN guide, and read our updated 2026 NordVPN vs ExpressVPN showdown to see which provider fits your travel itinerary.
SpaceX filed paperwork today that opens its books to the public for the first time and sets the stage for what could become the largest stock offering in history. The documents lay out clear numbers on revenue, customers, and spending that anyone can follow, while pointing to a future built around satellite connections, computing in orbit, and human presence on another planet.
As of the first three months of 2026, Starlink had 10.3 million paid subscriptions, more than doubling the five million it had the previous year. Each connection generates an average of $66 per month, down from $86 previously, as the business expanded into more nations with lower-cost options. These subscriptions are key to the connection business, which generated $11.3 billion in sales last year, accounting for 60% of the company’s overall revenue.
Stay connected in remote locations with Starlink Mini’s compact satellite internet system designed for travel, RV life, camping, off-grid work…
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In 2025, total revenue for the operation reached 18.7 billion dollars, rising about one-third from the previous year. The satellite internet segment alone generated a healthy operational profit of 4.4 billion dollars, more than doubling what it made previously. Launch services continue to handle more than half of all orbital journeys worldwide, but the business lost $657 million last year after making previous gains.
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Overall, the company reported a net loss of 4.9 billion dollars in 2025 and another 4.3 billion dollars in the first quarter of 2026. These deficiencies are primarily due to high spending on a new artificial intelligence branch formed by the merger with xAI. Capital costs nearly doubled to $20.7 billion last year as the business expanded its AI infrastructure and continued to create larger rockets.
Elon Musk maintains decisive control using a dual-class share structure. Shares sold to the public carry one vote each, whereas special shares owned by insiders carry ten votes. Even after the offering, Musk still controls approximately 85% of the total voting power. His personal remuneration is directly related to major goals, such as reaching a seven-and-a-half trillion-dollar market value and establishing a permanent settlement on Mars with at least a million people.
The document also details an unusual lock-up arrangement for insiders and early investors, which differs from the conventional waiting periods used by most corporations. SpaceX intends to put aside a significant portion of its shares for everyday retail customers, and it even planned an event next month to host approximately 1500 of them. Goldman Sachs leads the banking group in charge of the transaction, which also includes Morgan Stanley, Bank of America, Citigroup, and JPMorgan.
Cash on hand was sixteen billion dollars at the conclusion of the first quarter, after beginning the year higher. The corporation employs more than 22,000 workers and has no union contracts. The specific scheduling has still to be approved by regulators, but the road show could begin in early June, with shares trading by mid-month under the Nasdaq symbol SPCX.
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In 2025, total revenue for the operation reached 18.7 billion dollars, rising about one-third from the previous year. The satellite internet segment alone generated a healthy operational profit of 4.4 billion dollars, more than doubling what it made previously. Launch services continue to handle more than half of all orbital journeys worldwide, but the business lost $657 million last year after making previous gains.
Overall, the company reported a net loss of 4.9 billion dollars in 2025 and another 4.3 billion dollars in the first quarter of 2026. These deficiencies are primarily due to high spending on a new artificial intelligence branch formed by the merger with xAI. Capital costs nearly doubled to $20.7 billion last year as the business expanded its AI infrastructure and continued to create larger rockets.
Elon Musk maintains decisive control using a dual-class share structure. Shares sold to the public carry one vote each, whereas special shares owned by insiders carry ten votes. Even after the offering, Musk still controls approximately 85% of the total voting power. His personal remuneration is directly related to major goals, such as reaching a seven-and-a-half trillion-dollar market value and establishing a permanent settlement on Mars with at least a million people.
The document also details an unusual lock-up arrangement for insiders and early investors, which differs from the conventional waiting periods used by most corporations. SpaceX intends to put aside a significant portion of its shares for everyday retail customers, and it even planned an event next month to host approximately 1500 of them. Goldman Sachs leads the banking group in charge of the transaction, which also includes Morgan Stanley, Bank of America, Citigroup, and JPMorgan.
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Cash on hand was sixteen billion dollars at the conclusion of the first quarter, after beginning the year higher. The corporation employs more than 22,000 workers and has no union contracts. The specific scheduling has still to be approved by regulators, but the road show could begin in early June, with shares trading by mid-month under the NASDAQ symbol SPCX. [Source]
Most organizations still treat cybersecurity as one team’s job. But attackers are stretching teams to their limits as they waste no time in putting AI to work, with an 89% year-over-year increase in AI-enabled adversary activity.
And threat actors aren’t just moving at record speed – they’re also probing a broader attack surface of employee devices, each offering a new path into internal systems.
Yet beyond the occasional training session, most employees aren’t thinking about cybersecurity day to day. The prevailing attitude in many organizations is that one team has security covered, leaving everyone else to focus on innovation and growth.
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This approach may have functioned in the past, but it won’t cut it anymore. When attackers are targeting people as much as systems at rapid speed, security can’t sit with just one team. It has to become part of how the entire organization operates. Every employee, every device, and every interaction now play a role in either strengthening or exposing the business.
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So how do organizations shift from treating security as a function to embedding it into everyday operations? Let’s take a look at how to lay the foundations for a cyber-first mindset from the ground up.
Cyber security requires ownership from every part of the business
Most businesses have a cyber strategy on paper. The challenge is turning that strategy into action. Too often, security training becomes a checkbox exercise. Completed quickly, rarely reinforced, and easily forgotten. When incidents occur, teams find themselves overwhelmed, unsure of responsibilities, or unclear on escalation paths – slowing remediation times and leaving business operations unstable in the process.
This is where leadership plays a defining role. Building resilience requires more than approving budgets or policies, it requires cross functional buy-in to truly succeed. When executives actively participate in training, contribute to simulations, and openly discuss lessons learned, cybersecurity shifts from an isolated technical concern and to an organizational priority. Action and accountability must start at the top in order to truly embed cyber in company culture.
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Identify pitfalls ahead of time
Effective incident response depends on clarity long before an incident occurs. Disaster recovery plans must be detailed, actionable, and tailored to the organization’s specific environment. Every employee, particularly those in IT or security functions, should have a clear understanding of their specific role – or their ‘swim lane’ – so there is no confusion about who does what when time is critical. The more detailed the disaster, the more efficient the recovery needs to be.
Disaster simulations are one way to create better cohesion between teams, from IT to security to operations. Hands-on exercises help teams practice coordinated responses, clarify individual roles, and build trust across departments. Actively engaging employees with real-world challenges and exposing gaps in knowledge or process ensures that everyone knows how to respond when it matters most.
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Make cyber training contextual
One of the reasons cybersecurity ownership breaks down is that training often feels abstract or disconnected from day-to-day work. A one-size-fits-all approach rarely resonates. Different teams face different threats, and education needs to reflect that reality. Take HR for example. Gartner predicts that by 2028, one in four candidate profiles worldwide will be fake.
As deepfake scams proliferate, HR teams require specialized training on what to look for in resumes and video interviews, and to reinforce identity verification procedures. The more organizations and individuals can contextualize how certain types of attacks might personally affect them or show up in their roles, the better prepared they’ll be to identify and remediate threats before they can negatively impact business.
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Lean on tech to identify risky behavior
Training builds awareness, but it also isn’t (or shouldn’t be) treated as a one-and-done event. Employee engagement and regular, adaptive education lay the foundation for a positive culture of cyber awareness. Technology has an important role to play in reinforcing good security behaviors and reducing reliance on perfect human judgement.
Unified IT operations on one platform, for example, can provide real-time monitoring of every endpoint (or device) across their organization. Consolidating endpoint management, autonomous patching, backup, and remote access into a single pane of glass enable both IT and security teams to quickly recognize common policy violations and risky employee behavior.
Platforms that also leverage automation can remediate system vulnerabilities before they become critical issues for the wider organization, minimizing downtime without disrupting employee productivity.
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Cybersecurity is everybody’s problem
In 2026, organizations can’t get away with treating cybersecurity as something layered on top. They need to recognize it as a core function that underpins every aspect of what they do.
Executive leadership can reinforce this with investment, enablement, and action. Developing resilience requires organizations to rethink the way they view cybersecurity. From being a single entity to a shared responsibility that touches every part of the business.
Change will take time, buy-in from leadership, and sustained investment. However, organizations that invest in resilience today will be better equipped to combat threats, act quickly, and move through today’s digital world with confidence.
This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit
It’s on track to post $10.9 billion in revenue, according to The Wall Street Journal.
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Anthropic is on track to post a revenue of $10.9 billion for the quarter ending in June, double the revenue it made for the first quarter, according to The Wall Street Journal. Out of that total, the company expects to post $559 million in operating profit, making it the company’s first profitable quarter since it was founded in 2021 if it hits that target. The company reportedly revealed those figures to a group of investors for its current funding round, which could boost its valuation past OpenAI’s.
Even though chances are high that it will reach profitability for the quarter, Anthropic doesn’t expect to be profitable in the quarters that follow. The company is planning to spend more money on computing and other expenses as it grows its operations further. Anthropic used to lag behind its peers and wasn’t quite as well-known as rivals like OpenAI, even though it sells its products to large enterprise customers. It has been steadily gaining popularity over the past months, however, with its chatbot Claude climbing to the top of the Apple App Store following the company’s clash with the Defense Department.
The company made headlines earlier this year when its CEO, Dario Amodei (pictured above), said that Anthropic can’t “in good conscience” comply with a Pentagon order to remove guardrails on its AI. Specifically, the company didn’t want to remove its AI’s safeguards around mass surveillance and autonomous weapons. As a result, the Defense Department labeled it a “supply chain risk,” a designation typically reserved for companies from countries like China and Russia. President Trump also ordered federal agencies to stop using Claude. Anthropic is trying to find a way to be re-accepted by the US government, however, and some federal agencies are still using its products. The NSA, in particular, is reportedly using Claude Mythos Preview, the company’s unreleased AI model for cyber defense.
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It’s worth noting that, OpenAI, which is perhaps the most well-known name in generative AI technology, has yet to reach profitability. The company doesn’t expect to get there until 2029 or 2030. OpenAI is preparing to file for an initial public offering (IPO) and may go public as soon as September, The New York Times has just reported. Bloomberg previously reported that Anthropic is also considering an IPO and could go public in October.
With the FIFA World Cup 2026 tournament coming to the US in June, host cities are expecting an influx of international travelers. Mobile carriers are offering ways to help them stay connected during the games.
Three of the largest US carriers have recently introduced eSIM plans that can be activated on unlocked phones for between seven and 45 days of calling, texting and mobile data. Using an eSIM while traveling is often more affordable than international roaming charges with an out-of-country wireless service.
If you have family or friends traveling to the US for the World Cup (or for any reason), here are three options they can check out. Remember that pricing matters, but so do the strengths of each provider’s network in the areas where they’ll be. It’s worth scrutinizing the coverage maps for AT&T, T-Mobile and Verizon.
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And if you’re thinking of jetting off to a country outside the US, be sure to check out our guide to the best travel phone plans.
eSIM by AT&T
AT&T’s offering includes unlimited data and 5GB of hotspot access for up to 30 days of coverage.
Pricing for the eSIM by AT&T plan breaks down like this:
1-Day Pass: $4 (US only)
7-Day Pass: $16 (US), $25 (US, Canada, Mexico)
15-Day Pass: $26 (US), $40 (US, Canada, Mexico)
30-Day Pass: $41 (US), $60 (US, Canada, Mexico)
Taxes and fees aren’t included in the cost of each pass.
One important detail is worth noting: The AT&T eSIM is a data-only plan, so calling and SMS texting aren’t included, and the subscriber won’t get a new number. Apps such as WhatsApp can offer those features. AT&T says the plan will expand to unlimited talk and text soon, but a timeline has not been announced.
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Getting connected requires that the person download the Connect on Demand by AT&T app (for iOS or Android) on an unlocked 5G smartphone with an international phone number and an open eSIM slot, then purchase and activate the eSIM option within the app.
The company’s Turbo Live by AT&T service, which is supposed to improve connectivity in venues like sports stadiums, is also available as an add-on.
T-Mobile Prepaid US Pass eSIM
The T-Mobile Prepaid US Pass eSIM options include unlimited talk and text in the US, Canada and Mexico, as well as 50GB of high-speed 5G data, then unlimited data at a slower speed for the duration of the pass. They also include 5GB of high-speed data in Canada and Mexico. Fast mobile hotspot data amounts increase depending on which of the following plans are activated:
7-Day Pass: $25 (14GB hotspot data)
10-Day Pass: $30 (20GB hotspot data)
14-Day Pass: $35 (28GB hotspot data)
30-Day Pass: $50 (50 GB hotspot data)
Activation happens in the T-Mobile Prepaid eSIM app for iOS or Android. Taxes and fees are added to the cost of each pass.
Visible eSIM Travel Pass
Visible, Verizon’s prepaid arm, is offering a new Visible eSIM Travel Pass for the World Cup. The plans include unlimited high-speed data using Verizon’s 5G Ultra Wideband network, but there’s no hotspot data. When traveling in Alaska, Canada, Mexico, Puerto Rico and the US Virgin Islands, subscribers get unlimited talk and text, and 2GB of data each day.
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Preordering through June 10 (the day before the tournament kicks off) will save $10 on the lineup of passes with the code FIFA10:
7-Day Pass: $15 preorder ($25 regular), 90 minutes of international calling
14-Day Pass: $25 preorder ($35 regular), 180 minutes of international calling
30-Day Pass: $35 preorder ($45 regular), 300 minutes of international calling
45-Day Pass: $45 preorder ($55 regular), 500 minutes of international calling
Each pass also includes unlimited texting to 200+ countries. Taxes and fees are included in the price of each pass.
To fuel World Cup fervor among Visible’s existing customers, it’s giving away two World Cup match tickets through May 31 via a sweepstakes.
Intuit is reportedly cutting about 3,000 jobs, or 17% of its workforce, as it restructures around AI and simplifies its corporate organization. TechCrunch reports: The layoffs come during a bad year for the tech workforce. The tech industry has already cut more than 100,000 jobs this year, per Statista, and is on track to outpace both 2024 and 2025 if the layoff trend continues. Companies such as Amazon, Block, Cisco, Cloudflare, Meta, Microsoft, and Oracle have let go of thousands of employees each, all of them citing a need to refocus expenditures around AI projects as a reason to cut jobs and restructure their organizations. […]
Intuit, however, hasn’t been perceived as a beneficiary of the AI boom, with its shares consistently underperforming in the broader S&P 500 over the past 12 months. The company has been caught up in the broader current of worries that traditional software-as-a-service firms will not be able to keep up or compete, as new and upcoming AI products and services threaten to change how software is developed and how it is used. In its fiscal second quarter ended January, Intuit reported revenue of $4.65 billion, a 17% increase, and net profit of $693 million, a 48% improvement compared to a year earlier. The company expects revenue to increase by about 10% in the third quarter, for which it will report results later today.
The rooftop park on Ocean Pavilion offers views of the Seattle skyline and Elliott Bay. (GeekWire Photo / Kurt Schlosser)
While tech companies including Microsoft and Amazon call the Seattle area home, residents are voicing opposition to the construction of new data centers that underpin their operations.
Seattle City Council is considering a one-year moratorium on the computing facilities, and on Wednesday heard a wave of public comments laden with concerns. Residents expressed fear about AI, called the data centers “gifts to the rich” and shared worries about rising utility bills, diminished water supplies, environmental justice and climate harm.
Councilmember Joy Hollingsworth, a bill sponsor, offered a more measured take. “We’re not trying to hinder growth in our city,” she said, but added that the city needs to slow down and understand data center impacts as the sector rapidly expands. City staff explained that the facilities vary in size and impact, and that Seattle’s government relies on the infrastructure for its own operations.
The data center issue blew up in April after The Seattle Times reported on proposals to build five large computing facilities in the city, prompting Mayor Katie Wilson to raise the possibility of a moratorium. Since then, developers have scrapped plans for two of the five.
Seattle is not alone in its resistance. A March Gallup survey found that seven in 10 Americans oppose the construction of data centers for AI applications in their local area, with nearly half strongly opposed. Separately, Pew Research Center reports that half of U.S. adults are more concerned than excited about the growing role of AI in daily life.
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The city is considering a resolution and legislation that define which data centers would face regulation and lay out a work plan for next steps:
Seattle City Light and Seattle Public Utilities are directed to examine water and electricity usage and recommend policies and rate structures that shield customers from cost increases — with deadlines of July 1 and Oct. 30, respectively.
The Seattle Department of Construction and Inspections is directed to determine zoning and development rules to reduce data center impacts, with deadlines extending into 2027.
The city is also weighing a framework for voluntary data center agreements that could benefit surrounding communities by addressing noise, heat, air and water pollution, workforce protections, water and energy use, as well as directing funding toward affordable housing, childcare and other social programs.
Seattle already has about 30 data centers, but they’re relatively small. Larger facilities have historically gravitated to rural areas with more land and less expensive power. The five proposed urban projects would have collectively consumed up to 369 megawatts — roughly one-third of Seattle’s average daily energy use. Data centers also draw significant water for cooling their electronics.
Washington state leaders took a crack at data center regulations during this year’s legislative session but ultimately rejected a bill requiring utilities and operators to create agreements protecting ratepayers and disclosing environmental impacts. The city’s proposed measure revisits many of those same issues, with the added weight of a moratorium.
No state has enacted a data center ban, but local governments have been moving on their own. Jurisdictions including Denver, St. Charles, Mo., and a county near Dallas have all recently approved moratoriums.
The industry has taken some steps to ease public concern. Microsoft, for example, launched a community-focused initiative in January pledging to be a good neighbor where it operates data centers.
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But the relentless push for AI infrastructure will likely keep straining public sentiment. Amazon spent $147.3 billion on capital expenditures over the past 12 months, ending in April. Looking ahead, Microsoft anticipates capital costs of $190 billion in capital in 2026, largely for AI.
The council committees will vote on the bill and resolution on June 3.
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