Adobe today launched its most ambitious AI offensive to date, unveiling the Firefly AI Assistant — a new agentic creative tool that can orchestrate complex, multi-step workflows across the company’s entire Creative Cloud suite from a single conversational interface — alongside a raft of new video, image, and collaboration features designed to position the company at the center of the rapidly evolving AI-powered content creation landscape.

The announcements, which also include a new Color Mode for Premiere Pro, the addition of Kling 3.0 video models to Firefly’s growing roster of third-party AI engines, and Frame.io Drive — a virtual filesystem that lets distributed teams work with cloud-stored media as though it lived on their local machines — represent Adobe’s clearest signal yet that it views agentic AI not as a feature upgrade but as a fundamental reshaping of how creative work gets done.

“We want creators to tell us the destination and let the Firefly assistant — with its deep understanding of all the Adobe professional tools and generative tools — bring the tools to you right in the conversation,” Alexandru Costin, Vice President of AI & Innovation at Adobe, told VentureBeat in an exclusive interview ahead of the launch.

The stakes could hardly be higher. Adobe is fighting to convince Wall Street, creative professionals, and a wave of well-funded AI-native competitors that its decades-old software empire can not only survive the generative AI revolution but lead it.

How Adobe turned a research prototype into a 100-tool creative agent

The centerpiece of today’s announcement is the Firefly AI Assistant, which Adobe describes as a fundamentally new way to interact with its creative tools. Rather than requiring users to manually navigate between Photoshop, Premiere, Illustrator, Lightroom, Express, and other apps — selecting the right tool for each step of a complex project — the assistant lets creators describe an outcome in natural language. The agent then figures out which tools to invoke, in what order, and executes the workflow.

The assistant is the productized version of Project Moonlight, a research prototype Adobe first previewed at its annual MAX conference in the fall of 2025 and subsequently refined through a private beta. “This is basically [Project] Moonlight,” Costin confirmed to VentureBeat. “We started with all the learnings from Moonlight, and we engaged with customers. We looked internally. We evolved that architecture to make it more ambitious.”

Under the hood, Adobe says it has assembled roughly 100 tools and skills that the assistant can call upon, spanning generative image and video creation, precision photo editing, layout adaptation, and even stakeholder review through Frame.io. The system is built around a single conversational interface inside the Firefly web app where users describe what they want and the assistant maintains context across sessions. Pre-built Creative Skills — purpose-built, multi-step workflow templates such as portrait retouching or social media asset generation — can be run from a single prompt and customized to match a creator’s own style. The assistant also learns a creator’s preferred tools, workflows, and aesthetic choices over time, and understands the content type being worked on — image, video, vector, brand assets — to make context-aware decisions.

Crucially, outputs use native Adobe file formats — PSD, AI, PRPROJ — meaning users can take any result into the corresponding flagship app for manual, pixel-level refinement at any point. “We always imagine this continuum where you can have complete conversational edits and pixel-perfect edits, and you can decide, as a creative, where you want to land,” Costin said. The Firefly AI Assistant will enter public beta in the coming weeks, though Adobe did not specify an exact date.

Why Wall Street is watching Adobe’s AI pricing model so closely

For a company whose AI monetization story has faced persistent skepticism from investors, the pricing structure of the Firefly AI Assistant will be closely watched. Costin told VentureBeat that, at launch, using the assistant will require an active Adobe subscription that includes the relevant apps — meaning users who want the agent to invoke Photoshop cloud capabilities, for instance, will need an entitlement that includes the Photoshop SKU. Generative actions will consume the user’s existing pool of generative credits, consistent with how Firefly credits work across the rest of Adobe’s platform.

“To use some of these cloud capabilities from Photoshop and other apps, you need to have a subscription that includes access to the Photoshop SKU,” Costin explained. “You’ll be consuming your credits when you use generative features.” He acknowledged, however, that the model could evolve: “As we better understand the value of this — and the costs of operating the brain, the conversation engine — things might change.”

The question of whether Adobe can convert AI enthusiasm into meaningful revenue growth is anything but theoretical. When Adobe reported its most recent quarterly results in March, it touted 10% year-over-year revenue growth to $6.4 billion and disclosed that annual recurring revenue from AI standalone and add-on products had reached $125 million — a figure CEO Shantanu Narayen projected would double within nine months.

Adobe adds Chinese AI video models to Firefly, raising commercial safety questions

Alongside the assistant, Adobe is expanding Firefly’s roster of third-party AI models to include Kling 3.0 and Kling 3.0 Omni, two video generation models developed by Kuaishou, the Chinese technology company. Kling 3.0 focuses on fast, high-quality production with smart storyboarding and audio-visual sync, while the Omni variant adds professional controls for shot duration, camera angle, and character movement across multi-shot sequences. The additions bring Firefly’s model count to more than 30, joining Google’s Nano Banana 2 and Veo 3.1, Runway’s Gen-4.5, Luma AI’s Ray3.14, Black Forest Labs’ FLUX.2[pro], ElevenLabs’ Multilingual v2, and others.

When asked whether Adobe had concerns about integrating a model from a Chinese tech company given the current geopolitical climate, Costin was direct: “We think choice is what we want to offer our customers.” He explained that Adobe’s strategy distinguishes between its own commercially safe, first-party Firefly models — trained on licensed Adobe Stock imagery and public domain content — and third-party partner models, which carry different commercial safety profiles. “For some use cases, like ideation, non-production use cases, we got requests from customers to support some external models,” Costin said. “If I’m in ideation, I might be more flexible with commercial safety. When I go into production, I’d want to have a model that gives you more confidence.”

This raises an important nuance for the agentic era. When the Firefly AI Assistant autonomously selects which model to use for a given task, the commercial safety guarantees may vary depending on which engine it invokes. Costin pointed to Adobe’s Content Credentials system — the metadata-and-fingerprinting framework developed through the Content Authenticity Initiative — as the mechanism for maintaining transparency. “The agentic power — and the fact that the assistant has access to all of those models — means it could decide to use a model that carries different content credentials,” he acknowledged. “But with the transparency of content credentials, the user will know how a particular piece of content was created and can decide whether that’s commercially safe or not.” Adobe offers commercial indemnity for its first-party Firefly models but applies different indemnity levels for third-party models — a distinction that enterprise buyers, in particular, will need to carefully evaluate.

Inside Adobe’s active collaboration with Nvidia on long-running AI agent infrastructure

Adobe’s agentic ambitions also intersect with its strategic partnership with Nvidia, announced earlier this year at Nvidia’s GTC conference. When asked whether the Firefly AI Assistant’s agentic capabilities are built on NVIDIA’s agent toolkit and NeMo infrastructure, Costin revealed that the collaboration is active but has not yet made it into a shipping product.

“We’re in active discussions — investigating not only Nemotron,” Costin said. “They have this technology called Open Shell and Nemo Claw, which give us the ability to efficiently run long-running agentic workflows in a sandboxed environment.” He said the technology would become increasingly important as Adobe pushes the assistant to handle longer, more autonomous creative tasks — but cautioned that “it’s not shipping yet. It’s being actively explored.”

For Nvidia, which is building an ecosystem of enterprise AI agent platforms with partners like Adobe, Salesforce, and SAP, the partnership could eventually serve as a high-profile proof point for its agent infrastructure stack in the creative vertical. For Adobe, the ability to run complex, long-duration agentic workflows efficiently and securely in sandboxed environments could be the technical foundation that separates the Firefly AI Assistant from lighter-weight chatbot integrations offered by competitors. The partnership also signals Adobe’s recognition that the computational demands of agentic AI — where a single user request may trigger dozens of model calls and tool invocations — require infrastructure partnerships that go well beyond what a software company can build alone.

Premiere Pro’s new color grading mode and the tools Adobe is shipping today

Beyond the headline AI assistant announcement, Adobe’s broader set of updates reflects a company trying to strengthen its position across every phase of the content creation pipeline. Color Mode in Premiere Pro may be the most significant near-term upgrade for working editors. Entering public beta today, Color Mode is described as a first-of-its-kind color grading experience built specifically for the way editors — rather than dedicated colorists — think and work. Adobe notes that it was developed through an extensive private beta with hundreds of working editors, and that participants reported they “actually enjoy color grading” — a sentiment suggesting Adobe may have found a way to democratize one of post-production’s most intimidating disciplines. General availability is expected later in 2026.

The Firefly Video Editor gains audio upgrades including the Enhance Speech feature migrated from Premiere and Adobe Podcast, direct Adobe Stock integration with access to more than 800 million licensed assets, and simple color adjustment controls with intuitive sliders and one-click looks. On the image editing front, Adobe introduced Precision Flow, which generates a range of semantic variations from a single prompt and lets users browse them via an interactive slider — a novel approach that Costin described as “the best slider-based control mixed with the best semantic understanding of not only the existing scene, but what the scene could be.” AI Markup complements this by letting users draw directly on images to specify where and how edits should be applied. After Effects 26.2 adds an AI-powered Object Matte tool that dramatically accelerates rotoscoping and masking — create accurate mattes of moving subjects with a hover and click, refine with a Quick Selection brush, and perfect edges with a Refine Edge tool.

Frame.io Drive wants to kill the shipped hard drive and make cloud media feel local

Rounding out the announcements, Frame.io Drive addresses one of the most persistent pain points in distributed video production: getting media from point A to point B without losing hours — or days — to downloads, syncing, and shipped hard drives. Frame.io Drive is a desktop application that mounts Frame.io projects to a user’s computer so media appears in Finder or Explorer and behaves like local files. The underlying technology, called Frame.io Mounted Storage, streams media on demand as applications request it, while local caching ensures smooth playback. The product builds on streaming technology provided by Suite Studios, and the real-time file access capability is included with every Frame.io account. Adobe emphasized that all content lives solely within Frame.io and is never shared with third parties.

The move positions Frame.io not just as a review-and-approval tool at the end of the production pipeline but as the central media layer from the very beginning of a project — from first capture through final delivery. If successful, the strategy could significantly deepen Adobe’s lock-in with professional video teams by making Frame.io the single source of truth for distributed productions. Frame.io Drive and Mounted Storage will roll out in phases, with Enterprise customers gaining access starting today and accounts on other plans following shortly. Others can join a waitlist.

Adobe’s biggest challenge isn’t building the AI — it’s convincing creators to trust it

Taken together, today’s announcements paint a picture of a company executing aggressively across multiple fronts — but also one that is navigating a complex moment. Adobe first introduced Firefly in March 2023 as a family of generative AI models focused on image and text effects, with a strong emphasis on commercial safety through training on licensed Adobe Stock content. In the two years since, the company has rapidly expanded into video generation, multi-model access, and now agentic workflows — a trajectory that mirrors the broader industry’s shift from standalone AI features to AI-native systems.

But the competitive field has grown dramatically. Runway, Pika, and a host of AI-native video generation startups have captured mindshare among creators. Canva has aggressively integrated AI into its design platform. And the emergence of powerful foundation models from OpenAI, Google, and Anthropic — the latter of which Adobe says it will integrate with Firefly AI Assistant capabilities — means the barrier to building creative AI tools has never been lower. Adobe is also navigating these product ambitions against a complex corporate backdrop: the impending departure of CEO Shantanu Narayen, an actively exploited zero-day vulnerability in Acrobat Reader (CVE-2026-34621) that had been used by hackers for months before being patched this week, a U.K. antitrust investigation over cancellation fees, and a recent $75 million lawsuit settlement.

Adobe’s response, articulated clearly through today’s launches, is to lean into what it believes is its deepest moat: the integration of AI into a set of professional-grade, category-leading applications that no startup can replicate overnight. Costin framed the agentic transition as empowering rather than threatening to creative professionals, comparing Creative Skills to a next-generation version of Photoshop Actions — the macro-recording feature that has long allowed power users to automate repetitive tasks. “We want to help our customers become — from the ones doing all the work — to be creative directors, doing some of the work, but most importantly, guiding the assistant in executing some of those creative visions,” he said.

It is a compelling pitch — and, in its own way, a revealing one. For three decades, Adobe made its fortune by selling the tools that turned creative vision into finished pixels. Now it is asking its customers to let an AI agent handle more of that translation, trusting that the human role will shift from operating the tools to directing the outcome. Whether creators embrace that bargain — and whether Wall Street rewards it — will determine not just Adobe’s trajectory but the shape of an entire industry learning to create alongside machines.

Accel announced on Tuesday that it raised $5 billion in fresh capital to back late-stage companies.

The venture firm told Bloomberg that $4 billion will go to its late-stage Leaders Fund, for which it hopes to cut at least 20 checks, averaging $200 million each. Accel is looking to invest in companies building AI-powered technology, with a focus on software, hardware, robotics, defense tech, and data center infrastructure.

Accel limited partners also poured in $650 million, which will go to a “sidecar” fund, Bloomberg reported, allowing the firm to increase its investments in certain companies. 

Accel has backed more than 800 companies to date, including Anthropic, Perplexity, and Lovable. This latest fundraise comes as the firm hopes to keep up with the AI boom competition.

A spokesperson for Accel did not respond to a request for comment.

On 8 January 2026, the Iranian government imposed a near-total communications shutdown. It was the country’s first full information blackout: For weeks, the internet was off across all provinces while services including the government-run intranet, VPNs, text messaging, mobile calls, and even landlines were severely throttled. It was an unprecedented lockdown that left more than 90 million people cut off not only from the world, but from one another.

Since then, connectivity has never fully returned. Following U.S. and Israeli airstrikes in late February, Iran again imposed near-total restrictions, and people inside the country again saw global information flows dry up.

The original January shutdown came amid nationwide protests over the deepening economic crisis and political repression, in which millions of people chanted antigovernment slogans in the streets. While Iranian protests have become frequent in recent years, this was one of the most significant uprisings since the Islamic Revolution in 1979. The government responded quickly and brutally. One report put the death toll at more than 7,000 confirmed deaths and more than 11,000 under investigation. Many sources believe the death toll could exceed 30,000.

Thirteen days into the January shutdown, we at NetFreedom Pioneers (NFP) turned to a system we had built for exactly this kind of moment—one that sends files over ordinary satellite TV signals. During the national information vacuum, our technology, called Toosheh, delivered real-time updates into Iran, offering a lifeline to millions starved of trusted information.

How Iran Censors the Internet

I joined NetFreedom Pioneers, a nonprofit focused on anticensorship technology, in 2014. Censorship in Iran was a defining feature of my youth in the 1990s. After the Islamic Revolution, most Iranians began to lead double lives—one at home, where they could drink, dance, and choose their clothing, and another in public, where everyone had to comply with stifling government laws.

Iran’s internet infrastructure is more centralized than in other parts of the world, making it easier for the government to restrict the flow of information. Morteza Nikoubazl/NurPhoto/Getty Images

My first experience with secret communications was when I was five and living in the small city of Fasa in southern Iran. My uncle brought home a satellite dish—dangerously illegal at the time—that allowed us to tune into 12 satellite channels. My favorite was Cartoon Network. Then, during my teenage years, this same uncle introduced me to the internet through dial-up modems. I remember using Yahoo Mail with its 4 megabytes of storage, reading news from around the world, and learning about the Chandra X-ray telescope from NASA’s website.

That openness didn’t last. As internet use spread in the early 2000s, the Iranian government began reshaping the network itself. Unlike the highly distributed networks in the United States or Europe, where thousands of providers exchange traffic across many independent routes, Iran’s connection to the global internet is relatively centralized. Most international traffic passes through a small number of gateways controlled by state-linked telecom operators. That architecture gives authorities unusual leverage: By restricting or withdrawing those connections, they can sharply reduce the country’s access to the outside world.

Over the past decade, Iran has expanded this control through what it calls the National Information Network, a domestically routed system designed to keep data inside the country whenever possible. Many government services, banking systems, and local platforms are hosted on this internal network. During periods of unrest, access to the global internet can be throttled or cut off while portions of this domestic network continue to function.

The government began its censorship campaign by redirecting or blocking websites. As internet use grew, it adopted more sophisticated approaches. For example, the Telecommunication Company of Iran uses a technique called deep packet inspection to analyze the content of data packets in real time. This method enables it to identify and block specific types of traffic, such as VPN connections, messaging apps, social media platforms, and banned websites.

The Stealth of Satellite Transmissions

Toosheh’s communication workaround builds on a history of satellite TV adoption in Middle Eastern and North African countries. By the early 2000s, satellite dishes were common in Iran; today the majority of households in Iran have access to satellite TV despite its official prohibition.

Unlike subscription services such as DirecTV and Dish Network, “free-to-air” satellite TV broadcasts are unencrypted and can be received by anyone with a dish and receiver—no subscription required. Because the signals are open, users can also capture and store the data they carry, rather than simply watching it live. Tech-savvy people learned that they could use a digital video broadcasting (DVB) card—a piece of hardware that connects to a computer and tunes into satellite frequencies—to transform a personal computer into a satellite receiver. This way, they could watch and store media locally as well as download data from dedicated channels.

Many Iranian citizens have free-to-air satellite dishes, like the ones on this apartment building in Tehran, and can thus download Toosheh transmissions, giving them a lifeline during internet blackouts.Morteza Nikoubazl/NurPhoto/Getty Images

Toosheh, a Persian word that translates to “knapsack,” is the brainchild of Mehdi Yahyanejad, an Iranian-American technologist and entrepreneur. Yahyanejad cofounded NetFreedom Pioneers in 2012. He proposed that the satellite-computer connections enabled by a DVB card could be re-created in software, eliminating the need for specialized hardware. He added a simple digital interface to the software to make it easy for anyone to use. The next breakthrough came when the NFP team developed a new transfer protocol that tricks ordinary satellite receivers into downloading data alongside audio and video content. Thus, Toosheh was born.

Satellite TV uses a file system called an MPEG transport stream that allows multiple audio, video, or data layers to be packaged into a single stream file. When you tune in to a satellite channel and select an audio option or closed captions, you’re accessing data stored in different parts of this stream. The NFP team’s insight was that, by piggybacking on one of these layers, Toosheh could send an MPEG stream that included documents, videos, and more.

HOW TOOSHEH WORKS: At NetFreedom Pioneers, content curators pull together files—news articles, videos, audio, and software [1]. Toosheh’s encoder software [2] compresses the files into a bundle, in .ts format, creating an MPEG transport stream [3]. From there, it’s uploaded to a server for transmission [4] via a free-to-air TV channel on a Yahsat satellite that’s positioned over the Middle East to provide regional coverage [5]. Satellite receivers [6] directly capture the data streams, which are downloaded to computers, smartphones, and other devices, and decoded by Toosheh software [8].Chris Philpot

A satellite receiver can’t tell the difference between our data and normal satellite audio and video data since it only “sees” the MPEG streams, not what’s encoded on them. This means the data can be downloaded and read, watched, and saved on local devices such as computers, smartphones, or storage devices. What’s more, the system is entirely private: No one can detect whether someone has received data through Toosheh; there are no traceable logs of user activity.

Toosheh doesn’t provide internet access, but rather delivers curated data through satellite technology. The fundamental distinction lies in the way users interact with the system. Unlike traditional internet services, where you type a request into your browser and receive data in response, Toosheh operates more like a combination of radio and television, presenting information in a magazine-like format. Users don’t make requests; instead, they receive 1 to 5 gigabytes of prepackaged, carefully selected data.

Access to information is not only about news or politics, but about exposure to possibilities.

During this year’s internet blackout, we distributed official statements from Iranian opposition leader Crown Prince Reza Pahlavi and the U.S. government. We provided first-aid tutorials for medics and injured protesters. We sent uncensored news reports from BBC Persian, Iran International, IranWire, VOA Farsi, and others. We also shared critical software packages including anticensorship and antisurveillance tools, along with how-to guides to help people securely connect to Starlink satellite terminals, allowing them to stay protected and anonymous as they sent their own communications.

How to Combat Signal Interference

Because Toosheh relies on one-way satellite broadcasts, it evades the usual tactics governments use to block internet access. However, it remains vulnerable to satellite signal jamming.

The Iranian government is notorious for deploying signal jamming, especially in larger cities. In 2009, the government used uplink interference, which attacks the satellite in orbit by beaming strong noise in the frequency of the satellite’s receiver. This makes it impossible for the satellite to distinguish the information it’s supposed to receive. However, because this type of attack temporarily disables the entire satellite, Iran was threatened with international sanctions and in 2012 stopped using the method .

A graph of network connectivity in Iran shows that on 9 January 2026, internet access dropped from nearly 100 percent to 0. Samuel Boivin/NurPhoto/Getty Images

The current method, called terrestrial jamming, uses antennas installed at higher elevations than the surrounding buildings to beam strong noise over a specific area in the frequency range of household receivers. This attack is effective in keeping some of the packets from arriving and damaging others, effectively jamming the transmission. But it’s short-range and requires significant power, so it’s impossible to implement nationwide. There are always people somewhere who can still watch TV, download from Toosheh, or tune into a satellite radio despite the jamming. Even so, we wanted a workaround that would keep our transmissions broadly accessible.

NFP’s solution was to add redundancy, similar in principle to a data-storage technique called RAID (redundant array of independent disks). Instead of sending each piece of data once, we send extra information that allows missing or corrupted packets to be reconstructed. Under normal circumstances, we often use 5 percent of our bandwidth for this redundancy. During periods of active jamming, we increase that to as much as 25 to 30 percent, improving the chances that users can recover complete files despite interference.

From Crisis Response to Public Access

Toosheh initially came online in 2015 in Iran and Afghanistan. Its full potential, however, was first realized during the 2019 protests in Iran, which saw the most widespread internet shutdown prior to the blackout this year. Wired called the 2019 shutdown “the most severe disconnection” tracked by NetBlocks in any country in terms of its “technical complexity and breadth.” Our technology helped thousands of people stay informed. We sent crucial local updates, legal-aid guides, digital security tools, and independent news to satellite receivers all over the country, seeing a sixfold increase in our user base.

When that wave of protests subsided, the government allowed some communication services to return. People were again able to access the free internet using VPNs and other antifilter software that allowed them to bypass restrictions. Toosheh then became a public access point for news, educational material, and entertainment beyond government filtering.

Toosheh’s impact is often personal. A traveling teacher in western Iran told NFP that he regularly distributed Toosheh files to students in remote villages. One package included footage of female athletes competing in the Olympic Games, something never broadcast in Iran. For one young girl, it was the first time she realized women could compete professionally in sports. That moment underscores a broader truth: Access to information is not only about news or politics, but about exposure to possibilities.

The Cost of Toosheh

Unlike internet-based systems, Toosheh’s operational cost remains constant regardless of the number of users. A single TV satellite in geostationary earth orbit, deployed and maintained by an international company such as Eutelsat, can broadcast to an entire continent with no increase in cost to audiences. What’s more, the startup cost for users isn’t high: A satellite dish and receiver in Iran costs less than US $50, which is affordable to many. And it costs nothing for people to use Toosheh’s service and receive its files.

We aim not just to build a tool for censorship circumvention, but to redefine access itself.

However, operating the service is costly: NetFreedom Pioneers pays tens of thousands of dollars a month for satellite bandwidth. We had received funding from the U.S. State Department, but in August of 2025, that funding ended, forcing us to suspend services in Iran.

Then the December protests happened, and broadcasting to Iran became an urgent priority. To turn Toosheh back on, we needed roughly $50,000 a month. With the support of a handful of private donors, we were able to meet these costs and sustain operations in Iran for a few months, though our future there and elsewhere is uncertain.

Satellites Against Censorship

Toosheh’s revival in Iran came alongside NFP’s ongoing support for deployments of Starlink, a satellite internet service that allows users to connect directly to satellites rather than relying on domestic networks, which the government can shut down. Unlike Toosheh’s one-way broadcasts, Starlink provides full two-way internet access, enabling users to send messages, upload videos, and communicate with the outside world.

In 2022, we started gathering donations to buy Starlink terminals for Iran. We have delivered more than 300 of the roughly 50,000 there, enabling citizens to send encrypted updates and videos to us from inside the country. Because the technology is banned by the government, access remains limited and carries risk; Iranian authorities have recently arrested Starlink users and sellers. And unlike Toosheh’s receive-only broadcasts, Starlink terminals transmit signals back to orbit, creating a radio footprint that can potentially be detected.

The internet shutdown in Iran continued after the attacks by Israel and the United States began in late February, preventing Iranians from communicating with the outside world and with one another.Fatemeh Bahrami/Anadolu/Getty Images

Looking ahead, we envision Toosheh becoming a foundational part of global digital resilience. It is uncensored, untraceable, and resistant to government shutdowns. Because Toosheh is downlink only, it can sometimes feel hard to explain the value of this technology to those living in the free world, those accustomed to open internet access. Yet, people living under censorship have few other choices when there’s a digital blackout.

Currently, NFP is developing new features like intelligent content curation and automatically prioritizing data packages based on geographic or situational needs. And we’re experimenting with local sharing tools that allow users who receive Toosheh broadcasts to redistribute those files via Wi-Fi hotspots or other offline networks, which could extend the system’s reach to disaster zones, conflict areas, and climate-impacted regions where infrastructure may be destroyed.

We’re also looking at other use cases. Following the Taliban’s return to power in Afghanistan, NetFreedom Pioneers designed a satellite-based system to deliver educational materials. Our goal is to enable private, large-scale distribution of coursework to anyone—including the girls who are banned from Afghanistan’s schools. The system is technically ready but has yet to secure funding for deployment.

We aim not just to build a tool for censorship circumvention, but to redefine access itself. Whether in an Iranian city under surveillance, a Guatemalan village without internet, or a refugee camp in East Africa, Toosheh offers a powerful and practical model for delivering vital information without relying on vulnerable or expensive networks.

Toosheh is a reminder that innovation doesn’t have to mean complexity. Sometimes, the most transformative ideas are the simplest, like delivering data through the sky, quietly and affordably, into the hands of those who need it most.

If you’re keen to game on the move but also dealing with a tight budget, you’re in luck. Right now, you can buy the Asus TUF F16 Gaming Laptop at Amazon for $999.99 (was $1.199.99). That’s a pretty sweet deal for a gaming laptop which has an RTX 4050 GPU — ideal for 1080p gaming.

The Asus TUF F16 Gaming Laptop is a limited-time deal, so you’ll likely need to move fast. It offers a reasonable set of specs for the price, with a 16-inch full HD+ display with a 144Hz refresh rate working well alongside the budget-friendly RTX 4050 GPU. It also has 512GB of SSD storage, 16GB RAM, and an Intel Core i7-13620H CPU. The laptop looks pretty stylish, too, without completely succumbing to an excessive gamer aesthetic.

Today’s best budget gaming laptop deal

We haven’t reviewed this particular model, but we have reviewed a similar Asus TUF A16 Gaming Laptop, which was awarded a strong four out of five stars. It doesn’t quite compete with the very best gaming laptops, but it’s excellent value for money.

It has a good mixture of hardware that complements each component well. It looks pretty sleek yet stylish without being too in your face. It also has military-grade durability, so it can handle a more physical life if needed (but please don’t throw your laptop).

Little details like a backlit keyboard, HDMI port, Thunderbolt port, and plenty of USB ports all add up nicely as well. If you want one of the best laptops around, but also be able to game, this is worth checking out if you’re on a budget and can’t go all out with your purchase.

If you’re interested in seeing what else is out there, there are other cheap gaming laptop deals around. If you want a regular laptop, there are also some strong laptop deals to look through.

BearingPoint’s Shruti Goyal talks about zero-copy architecture and why it’s ultimately a game-changer for data teams.

The world of data architecture, according to Shruti Goyal, has been defined by one process for the last decade: extract, transform and load (ETL).

ETL is a three-phase computing process where data is extracted from transactional systems or real-time source systems, transformed (meaning cleaned, enriched and standardised) into an analytical format, and loaded (or stored) into a data hub or warehouse for reporting and analytics.

“In practice, this meant building complex pipelines using tools like SQL Server Integration Services (SSIS), Azure Data Factory (ADF) and Microsoft Data Pipelines,” explains Goyal, who is manager of data analytics and AI at BearingPoint.

“ETL ensures data is reliable, consistent, and ready for analysis and decision-making.”

However, Goyal believes that after a decade of data dominance, ETL may be on its way out due to the rise of zero-copy architecture – an approach “where data is used where it already lives, without physically copying it into downstream systems”.

“Data is no longer physically moved – instead, access to it is,” she says.

What is zero-copy?

As Goyal explains to SiliconRepublic.com, zero-copy architecture allows users to query, share and access data directly at the source, as opposed to ETL’s transitory process.

Zero-copy enables this by using metadata, permissions and query pushdown “without duplicating the underlying data”.

Goyal says the catalyst for this change is analytics platform Microsoft Fabric, specifically its OneLake storage platform.

“Fabric introduces a unified logical data core that renders traditional data duplication obsolete,” she explains. “The two critical mechanisms are Mirroring, which keeps source systems reflected in near real-time, and Shortcuts, which allow entire multiterabyte databases to be surfaced into an analytics environment in seconds without any physical copying.

“While ADF remains relevant for complex orchestration scenarios, it is no longer the backbone of data movement – OneLake is.”

‘Long-overdue liberation’

Significant changes in any industry can be met with either joy or disdain depending on the circumstances, but Goyal says that for data teams, the so-called ‘death of ETL’ has been described as nothing short of “a long-overdue liberation”.

“Years spent tuning SSIS packages and mapping ADF data flows are giving way to managing metadata and governance policies instead,” she says. “The burden shifts from responding to pipeline failures to maintaining stable, governed shortcuts.

“The skillset evolves accordingly – the focus moves from pipeline engineering toward data governance, metadata management and strategic architecture, representing a significant elevation of the data management role.”

But why specifically is zero-copy being embraced over ETL?

For starters, Goyal says zero-copy is replacing ETL because it is faster, cheaper and “fundamentally more reliable”.

“Zero‑copy architectures replace ETL by letting analytics and AI access live data at its source – eliminating duplication, latency and governance complexity while reducing cost.

“In short, ETL is costly, slow and brittle; zero-copy is lean, live and self-governing.”

Why it’s significant

Goyal believes the transition from ETL is significant because it “represents a fundamental architectural shift”, allowing teams to manage metadata and governance instead of fragmented data copies and “fragile pipelines”.

“The move is from a reactive, maintenance-heavy model – characterised by late-night pipeline failure alerts – to a live feed of the business.

“Over time, this means organisations can make decisions on current data rather than yesterday’s batch, reduce infrastructure overhead significantly and redirect skilled data teams away from operational firefighting toward strategic work.”

Goyal adds that from a data strategy standpoint, zero-copy “changes what is fundamentally possible”.

“When the analytics layer reflects the business in near real-time rather than hours after the fact, decisions can be made on current ground truth,” she says. “The elimination of redundant storage means strategies can scale without proportional cost increases.

“Built-in governance and metadata persistence also mean organisations can trust their data more deeply – enabling AI workloads, reporting and operational systems to coexist confidently on a single, well-governed data estate.”

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from the sucker-born-every-minute dept

Last year the fraud-prone Trump organization announced a half-assed wireless phone company. As we noted at the time, calling this a “phone company” was generous; it was a lazy marketing rebrand of another, half-assed, “MAGA-focused” mobile virtual network operator (MVNO) named Patriot Mobile, which itself just resold T-Mobile service. So basically just another lazy Trump brand partnership.

The centerpiece of this effort was supposed to be a “bold” new $500 Trump T1 smartphone that the Trump org claimed would be “proudly designed and built in the United States” and released sometime last August. Not only was the device never going to be made in the States (all mention of that was quickly stripped from press materials), the August launch date came and went with no Trump phone.

It’s now April of 2026, and while there’s still no phone (despite a long line of rubes having plunked down $100 deposits), there is a revamped Trump Mobile website and a renewed promise of a slightly different phone, according to The Verge. This includes a revamped and gaudy new mock up of what the gold Trump T1 phone is supposed to look like, should it ever actually be released:

You’ll notice that the phone looks suspiciously like the HTC U24 Pro, a phone released two years ago and available for as little as $460 on Amazon (even less on places like eBay):

While the original “Trump phone” was announced with a $500 price tag, the backers of Trump’s latest grift insist that price was “promotional,” and the full price tag will be closer to around $1000:

“The phone is now listed with a “promotional price” of $499, which used to simply be its standard price. The site is still accepting $100 deposits, with the promise that you can “lock in” the “promotional pricing.” When I spoke to executives Eric Thomas and Don Hendrickson in February, they declared that $499 had been an “introductory” price, which would be rising after the relaunch — though they promised that early buyers would still be charged $499 total, and that the new price would be “less than $1,000.”

So there’s no phone or release date, but there’s already been a price hike on a lazy rebrand of an existing phone they just needed to spray paint gold and slap a Trump logo on. There’s simply no reason that doing this very basic rebrand should have taken so long (assuming they do plan to eventually released a phone), but as a concept the whole thing remains very on brand.

Filed Under: branding, con, donald trump, mvno, smartphone, trump phone, wireless

Companies: trump mobile

The US federal government’s central energy information agency is planning to implement a mandatory nationwide survey of data centers focused on their energy use, according to a letter seen by WIRED. This survey would be the first effort of its type to collect basic information about data centers.

The letter was sent to senators Elizabeth Warren and Josh Hawley on April 9 by the head of the Energy Information Administration, Tristan Abbey, and comes in response to a previous inquiry from the senators about the EIA’s plans to get more information about data centers. WIRED reported on Hawley and Warren’s letter last month.

“Americans deserve to know how much energy data centers are sucking up and what that’s doing to their utility bills,” Warren told WIRED in a statement. “The EIA’s mandatory survey is an important first step towards holding data centers accountable, but people are hurting right now. I’m pushing EIA to collect and share this data as soon as possible.”

The EIA told WIRED that it doesn’t have any specifics to share beyond what is in the letter to the senators.

The explosion of data centers across the US has caused an outpouring of public concern and proposed legislation to rein in their resource use, as well as put moratoriums on their construction. But there’s surprisingly little official data collected on the industry.

Most details about data centers’ energy use—a particular worry for many voters in the face of mounting utility bills—are considered proprietary business information, and are usually not made public. In response to encouragement from the Trump administration to protect ratepayers, many data center developers are now turning to building their own power sources, known as behind-the-meter power. These facilities—many of which are gas-powered—introduce new concerns around air pollution and climate change. (On Tuesday, the NAACP filed a lawsuit against xAI alleging it was running behind-the-meter gas turbines on a data center in Mississippi without a permit and polluting the community around it. xAI did not immediately reply to a request for comment.)

The EIA conducts mandatory surveys of providers of various types of energy generation, including oil and gas production, electric generation, and renewables, as well as their industrial customers. In late March, a day before the senators sent their letter, the EIA announced that it would conduct a pilot survey in three areas of the country that have heavy data center development: Texas, Washington state, and the northern Virginia/DC metro area.

In the April 9 letter, Abbey says that the agency will announce a second tranche of pilot surveys “covering at least three more states.” Both surveys would be complete by late September. These two pilot studies, Abbey writes, are “a necessary step in the methodical development of a nationwide mandatory survey.”

Information being collected by the EIA from data centers in these pilots, according to the letter, includes not just information on annual electricity use, but also information on behind-the-meter power generation. The surveys, Abbey writes, will also include questions on the classification of different types of data centers; cooling systems; facility characteristics, like square footage; and IT specifications, including metrics on how efficiently a data center uses energy.

The letter still leaves a lot of questions unanswered about the structure of the pilots.

According to the letter, the pilot won’t ask every respondent for the full set of metrics, but will rather tailor questions “to the particular location of each data center facility.” The current pilot also asks the 196 companies identified across the three regions to choose just one location to report metrics on. The EIA did not answer questions about how it determined which locations should receive which questions, or if it provided any requirements to survey respondents about how to go about choosing which data center location to provide information about.

The EIA also did not answer questions from WIRED about when it plans to launch the second set of pilot surveys, the states that will be included, or the possible timing of a national mandatory survey.

Most smartwatches ask you to choose between looking good and doing a lot, but the Apple Watch Series 11 has never been willing to make that particular compromise.

That combination of capability and design is now more accessible, with the Apple Watch Series 11 available for $299 reduced from its usual $399 only at Amazon.