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Benchmark raises $225M in special funds to double down on Cerebras

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This week, AI chipmaker Cerebras Systems announced that it raised $1 billion in fresh capital at a valuation of $23 billion — a nearly threefold increase from the $8.1 billion valuation the Nvidia rival had reached just six months earlier.

While the round was led by Tiger Global, a huge part of the new capital came from one of the company’s earliest backers: Benchmark Capital. The prominent Silicon Valley firm invested at least $225 million in Cerebras’ latest round, according to a person familiar with the deal.

Benchmark first bet on 10-year-old Cerebras when it led the startup’s $27 million Series A in 2016. Since Benchmark deliberately keeps its funds under $450 million, the firm raised two separate vehicles, both called ‘Benchmark Infrastructure,’ according to regulatory filings. According to the person familiar with the deal, these vehicles were created specifically to fund the Cerebras investment.

Benchmark declined to comment.

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What sets Cerebras apart is the sheer physical scale of its processors. The company’s Wafer Scale Engine, its flagship chip announced in 2024, measures approximately 8.5 inches on each side and packs 4 trillion transistors into a single piece of silicon. To put that in perspective, the chip is manufactured from nearly an entire 300-millimeter silicon wafer, the circular discs that serve as the foundation for all semiconductor production. Traditional chips are thumbnail-sized fragments cut from these wafers; Cerebras instead uses almost the whole circle.

This architecture delivers 900,000 specialized cores working in parallel, allowing the system to process AI calculations without shuffling data between multiple separate chips (a major bottleneck in conventional GPU clusters). The company says the design enables AI inference tasks to run more than 20 times faster than competing systems.

The funding comes as Cerebras, based in Sunnyvale, Calif., gains momentum in the AI infrastructure race. Last month, Cerebras signed a multi-year agreement worth more than $10 billion to provide 750 megawatts of computing power to OpenAI. The partnership, which extends through 2028, aims to help OpenAI deliver faster response times for complex AI queries. (OpenAI CEO Sam Altman is also an investor in Cerebras.)

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Cerebras claims its systems, built with its proprietary chips designed for AI use, are faster than Nvidia’s chips.

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The company’s path to going public has been complicated by its relationship with G42, a UAE-based AI firm that accounted for 87% of Cerebras’ revenue as of the first half of 2024. G42’s historical ties to Chinese technology companies triggered a national security review by the Committee on Foreign Investment in the United States, bumping back Cerebras’ initial IPO plans and even prompting the outfit to withdraw an earlier filing in early 2025. By late last year, G42 had been removed from Cerebras’ investor list, clearing the way for a fresh IPO attempt.

Cerebras is now preparing for a public debut in the second quarter of 2026, according to Reuters.

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Samsung’s smart glasses are real and coming sooner than you think

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Samsung’s long-rumoured smart glasses may finally be getting closer to reality.

Speaking at MWC 2026 in Barcelona, Samsung executive vice president Jay Kim confirmed that the company is actively developing the wearable. He also hinted that a launch could happen sooner than many expected.

While details remain limited, Kim did confirm one key feature: the glasses will include a camera positioned at eye level. That camera will capture what the wearer is looking at and send the information to a connected Galaxy smartphone. The phone then processes the data and returns relevant insights to the user.

The approach keeps the glasses lightweight by shifting the heavy lifting to the phone. It’s a similar concept to Meta’s Ray-Ban smart glasses. In this case, the wearable acts mainly as the sensor while the smartphone handles computing tasks.

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What Samsung didn’t confirm is whether the first version will include a built-in display. When asked about screens, Kim pointed toward Samsung’s existing devices including its smartphones and smartwatches. This suggests the glasses may rely on them instead of embedding a display directly in the frames.

That doesn’t necessarily rule out a display in the future. Reports suggest a more advanced version with integrated visuals could arrive later. Possibly around 2027, with the first model focusing more heavily on camera and AI-driven features.

Samsung’s broader vision for the product appears to centre on context-aware AI. The glasses could recognise what you’re looking at and provide helpful information instantly. For example, they could translate a menu, identify landmarks, or help with tasks like navigation and messaging without needing to pull out your phone.

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The project has reportedly been in development since 2023, with Qualcomm and Google involved in building the underlying chips and software platform.

Samsung hasn’t given a precise launch date yet, but executives at MWC suggested the company aims to bring the glasses to market sometime in 2026. If that timeline holds, Samsung could soon be stepping into the fast-growing smart glasses space. Rivals like Meta are already establishing an early lead.

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Rode’s Rodecaster Video Core makes livestreaming even cheaper

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Rode’s not done releasing trimmed-down versions of its production tools with an eye on budget conscious creators. Today, it’s launching Rodecaster Video Core, an all-in-one studio setup which sits below its flagship Rodecaster Video and its (now) mid-range Video S. It’s aimed at folks who are either dipping a toe into this world, or already have audio gear and just want to broaden out to HD video as well. Arguably, the biggest change is the lack of any controls on the hardware itself, as you’ll be running the show entirely from inside the Rodecaster App.

In terms of connectivity, you’ll find three HDMI-in, one HDMI-out, four USB-C, two 3.5mm and two Neutrik combo ports ‘round back. Connect a compatible video device to a USB-C port and you’ll be able to run up to four sources at a time, and you can even use network cameras via Ethernet. Plus, you’ll be able to use the Rode Capture app to wirelessly connect the feed from an iOS device to your setup. And you’ll even be able to set it up to automatically switch between feeds based on audio inputs, reducing your need to micromanage multi-person feeds.

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And, if you’re already rocking one of Rode’s audio consoles, the Rodecaster Sync app will make your life a lot easier. Essentially, if you’ve got a Rodecaster Pro 2 or Duo, you’ll be able to hook it up to your Video Core, allowing you to set shortcuts directly to your pads. In fact, you can run your audio and video setup from the one desk, hopefully reducing the amount of fiddling you need to do in the middle of your stream.

Core is designed to stream straight to YouTube, Twitch and any other platforms you’d care to use instead. You’ll be able to record your footage to an external drive and, thanks yo a new firmware update across the range, you’ll also be able to output a EDL file for DaVinci Resolve. Oh, and you’ll now be able to import media in non-standard resolutions and aspect ratios — such as square footage from social media — which will be automatically scaled and optimized for your show.

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Rodecaster Video Core is available to pre-order now for $599, but there’s no word yet on when the sturdy boxes will start winging their way around the world.

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‘Flying Cars’ Will Take Off in American Skies This Summer

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New kinds of aircraft, sorts of “flying cars” that can take off and land with little space like helicopters but function like airplanes, will start operating in US airspace as early as June, the US Department of Transportation announced on Monday.

Eight regions across the US, including New York and New Jersey, Texas, Florida, and Albuquerque, New Mexico, will take part in a three-year pilot program that will see new aircraft designs ferrying people and cargo around the country even before they formally receive full certifications from the Federal Aviation Administration.

The companies building the tech say their aircraft are quieter, cheaper, and release fewer emissions than helicopters or airplanes. Some promise totally autonomous trips. Many involved in the project, including electric vertical takeoff and landing aircraft, or eVTOLs, and ultra-short takeoff aircraft, require way less space to operate, landing and taking off outside of traditional airports and closer to where people live and work. The companies outline futures in which regular people can zip between neighboring cities in a matter of minutes, sailing above traffic and reordering the economy as they go.

Electra EL9 Ultra Short

Electra’s nine-passenger EL9 Ultra Short.

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Courtesy of Electra

On an earnings call with investors earlier this month, Adam Goldstein, the CEO and founder of Archer Aviation, one of the firms involved, called the federal pilot program “our Waymo moment,” a science fiction project turned real life. “Now the goal is to have half a million people in the biggest cities in the country start to see these aircraft as part of your everyday commute, just like they started to see Waymos every day,” he said.

Archer’s electric air taxi, called Midnight, is built to carry up to four passengers on 60 to 90-minute trips. The company will take part in pilot projects in Texas, Florida, and New York. Goldstein told investors that Midnight would complete another important step toward certification “in the coming quarters.” The company has received funding from automaker Stellantis and United Airlines.

Other companies involved in the pilot projects include the small electric plane manufacturer Beta Technologies, Toyota- and Jet Blue-funded air taxi maker Joby Aviation, and Electra, which is building a hybrid electric ultra short aircraft. All four of those firms have completed test flights in the US.

“What we love about the [pilot] is the chance to demonstrate that this is not fantasy,” Electra CEO Marc Allen tells WIRED. “It’s not science fiction. It’s in the real world.”

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Jay Graber steps down as Bluesky CEO, moves into chief innovation officer role at social media platform

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Jay Graber accepts her Uncommon Thinkers award at the GeekWire Gala in December 2025. (GeekWire File Photo / Kevin Lisota)

Bluesky CEO Jay Graber announced Monday that she’s stepping down from her position and moving to a new role as chief innovation officer of the decentralized social network.

“As Bluesky matures, the company needs a seasoned operator focused on scaling and execution, while I return to what I do best: building new things,” Graber, who is based in Seattle, wrote in a post.

Toni Schneider, former CEO of Automattic (operates WordPress.com) and partner at True Ventures, is joining Bluesky as interim CEO while the board searches for a permanent new leader.

“I deeply believe in what this team has built and the open social web they’re fighting for,” Schneider, who has been an advisor to Bluesky and Graber, wrote on LinkedIn. He also penned a blog post on Bluesky.

Graber has led Bluesky since 2021, when it spun out of Twitter. The platform has become a leading alternative to X, growing its user base 60% last year from 25.9 million users to 41.4 million. The company reported Monday that it now has 43 million users.

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“Scaling up this company has been a learning experience unlike anything else,” Graber wrote in her post. “I’ve grown a lot as a leader and had the privilege of assembling the best team I’ve ever worked with.”

She added: “I’m most energized by exploring new ideas, bringing a vision to life, and helping people discover their strengths. Transitioning to a more focused role where I can do what brings me energy is my way of putting that belief into practice.”

Wired reported that the chief innovation officer position was created for Graber, who also sits on the company’s board.

Bluesky has differentiated itself from other social media networks with the AT Protocol, an open technical standard for social media that Bluesky’s team built as the foundation for its network. Most social networks today are walled gardens, where one company runs the servers, owns the data, and sets the rules.

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“Last year, we grew a world-class team, expanded the AT Protocol ecosystem, and proved that a values-driven social network could thrive at scale,” Graber wrote.

Bluesky has no official headquarters. Graber and several employees work out of a co-working space in Seattle.

Graber was honored at last year’s GeekWire Gala as one of five Uncommon Thinkers — inventors, scientists, and entrepreneurs selected in partnership with Greater Seattle Partners for their work transforming industries and the world. 

Related: Uncommon Thinkers: Bluesky CEO Jay Graber is planting the seeds for a decentralized digital world

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Australians Flock to VPNs in the Wake of Online Age-Restriction Laws

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A new set of laws in Australia requiring adult websites and app stores to age-restrict content for those under 18, and requiring AI companies to restrict chatbot offerings from displaying certain types of sensitive or adult content to minors, is apparently driving many to download Virtual Private Network apps there.

Major adult sites have closed their virtual doors to those who aren’t age-confirmed in Australia, and these changes follow a nationwide ban on social media use by teenagers and young children that went into effect in December.

According to reports from Reuters, The Guardian and others, in response to the bans, downloads of VPN-related apps, which people can use to circumvent location-based restrictions, are sharply on the rise. According to Reuters, three of the 15 most downloaded free iPhone apps in the country were VPN-related as the new laws went into effect on Monday.

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Lawmakers in some regions, including the US, are well aware that people use VPNs in this way. In states such as Michigan and Wisconsin, laws are being proposed to limit or outright ban VPN use. Wisconsin’s proposed law would require adult sites to block VPN traffic, while Michigan’s proposal would ban VPN use entirely in the state.

There is also a proposal in England under consideration to ban VPN use by minors. That proposal is currently under review.

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How AI Assistants Are Moving the Security Goalposts

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An anonymous reader quotes a report from KrebsOnSecurity: AI-based assistants or “agents” — autonomous programs that have access to the user’s computer, files, online services and can automate virtually any task — are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertive new tools are rapidly shifting the security priorities for organizations, while blurring the lines between data and code, trusted co-worker and insider threat, ninja hacker and novice code jockey.

The new hotness in AI-based assistants — OpenClaw (formerly known as ClawdBot and Moltbot) — has seen rapid adoption since its release in November 2025. OpenClaw is an open-source autonomous AI agent designed to run locally on your computer and proactively take actions on your behalf without needing to be prompted. If that sounds like a risky proposition or a dare, consider that OpenClaw is most useful when it has complete access to your entire digital life, where it can then manage your inbox and calendar, execute programs and tools, browse the Internet for information, and integrate with chat apps like Discord, Signal, Teams or WhatsApp.

Other more established AI assistants like Anthropic’s Claude and Microsoft’s Copilot also can do these things, but OpenClaw isn’t just a passive digital butler waiting for commands. Rather, it’s designed to take the initiative on your behalf based on what it knows about your life and its understanding of what you want done. “The testimonials are remarkable,” the AI security firm Snyk observed. “Developers building websites from their phones while putting babies to sleep; users running entire companies through a lobster-themed AI; engineers who’ve set up autonomous code loops that fix tests, capture errors through webhooks, and open pull requests, all while they’re away from their desks.” You can probably already see how this experimental technology could go sideways in a hurry. […] Last month, Meta AI safety director Summer Yue said OpenClaw unexpectedly started mass-deleting messages in her email inbox, despite instructions to confirm those actions first. She wrote: “Nothing humbles you like telling your OpenClaw ‘confirm before acting’ and watching it speedrun deleting your inbox. I couldn’t stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb.”

Krebs also noted the many misconfigured OpenClaw installations users had set up, leaving their administrative dashboards publicly accessible online. According to pentester Jamieson O’Reilly, “a cursory search revealed hundreds of such servers exposed online.” When those exposed interfaces are accessed, attackers can retrieve the agent’s configuration and sensitive credentials. O’Reilly warned attackers could access “every credential the agent uses — from API keys and bot tokens to OAuth secrets and signing keys.”

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“You can pull the full conversation history across every integrated platform, meaning months of private messages and file attachments, everything the agent has seen,” O’Reilly added. And because you control the agent’s perception layer, you can manipulate what the human sees. Filter out certain messages. Modify responses before they’re displayed.”

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macOS 26.4 beta 4 lets everyone use the colorful MacBook Neo wallpapers

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Wallpapers created for the all-new MacBook Neo have now been made available to all macOS Tahoe users, as of macOS 26.4 beta 4.

Open laptop with thin black bezel displaying colorful abstract wallpaper of rounded rectangles in yellow, green, and turquoise gradients against a soft yellow-to-teal gradient background
MacBook Neo wallpapers are now available for all Macs, as of macOS 26.4 beta 4.

On March 4, Apple announced the MacBook Neo, a colorful budget-oriented laptop, powered by an iPhone chip. The low-end Mac is available in four bright color options — Blush, Citrus, Indigo, and Silver, each with a matching wallpaper.
The MacBook Neo ships with a special build of macOS 26.3, AppleInsider as predicted. All other Macs will need macOS 26.4 beta 4 to get the wallpapers made for the machine.
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Anthropic rolls out Code Review for Claude Code as it sues over Pentagon blacklist and partners with Microsoft

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Anthropic on Monday released Code Review, a multi-agent code review system built into Claude Code that dispatches teams of AI agents to scrutinize every pull request for bugs that human reviewers routinely miss. The feature, now available in research preview for Team and Enterprise customers, arrives on what may be the most consequential day in the company’s history: Anthropic simultaneously filed lawsuits against the Trump administration over a Pentagon blacklisting, while Microsoft announced a new partnership embedding Claude into its Microsoft 365 Copilot platform.

The convergence of a major product launch, a federal legal battle, and a landmark distribution deal with the world’s largest software company captures the extraordinary tension defining Anthropic’s current moment. The San Francisco-based AI lab is simultaneously trying to grow a developer tools business approaching $2.5 billion in annualized revenue, defend itself against an unprecedented government designation as a national security threat, and expand its commercial footprint through the very cloud platforms now navigating the fallout.

Code Review is Anthropic’s most aggressive bet yet that engineering organizations will pay significantly more — $15 to $25 per review — for AI-assisted code quality assurance that prioritizes thoroughness over speed. It also signals a broader strategic pivot: the company isn’t just building models, it’s building opinionated developer workflows around them.

How a team of AI agents reviews your pull requests

Code Review works differently from the lightweight code review tools most developers are accustomed to. When a developer opens a pull request, the system dispatches multiple AI agents that operate in parallel. These agents independently search for bugs, then cross-verify each other’s findings to filter out false positives, and finally rank the remaining issues by severity. The output appears as a single overview comment on the PR along with inline annotations for specific bugs.

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Anthropic designed the system to scale dynamically with the complexity of the change. Large or intricate pull requests receive more agents and deeper analysis; trivial changes get a lighter pass. The company says the average review takes approximately 20 minutes — far slower than the near-instant feedback of tools like GitHub Copilot’s built-in review, but deliberately so.

“We built Code Review based on customer and internal feedback,” an Anthropic spokesperson told VentureBeat. “In our testing, we’ve found it provides high-value feedback and has helped catch bugs that we may have missed otherwise. Developers and engineering teams use a range of tools, and we build for that reality. The goal is to give teams a capable option at every stage of the development process.”

The system emerged from Anthropic’s own engineering practices, where the company says code output per engineer has grown 200% over the past year. That surge in AI-assisted code generation created a review bottleneck that the company says it now hears about from customers on a weekly basis. Before Code Review, only 16% of Anthropic’s internal PRs received substantive review comments. That figure has jumped to 54%.

Crucially, Code Review does not approve pull requests. That decision remains with human reviewers. Instead, the system functions as a force multiplier, surfacing issues so that human reviewers can focus on architectural decisions and higher-order concerns rather than line-by-line bug hunting.

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Why Anthropic thinks $20 per review is a bargain

The pricing will draw immediate scrutiny. At $15 to $25 per review, billed on token usage and scaling with PR size, Code Review is substantially more expensive than alternatives. GitHub Copilot offers code review natively as part of its existing subscription, and startups like CodeRabbit operate at significantly lower price points. Anthropic’s more basic code review GitHub Action — which remains open source — is itself a lighter-weight and cheaper option.

Anthropic frames the cost not as a productivity expense but as an insurance product. “For teams shipping to production, the cost of a shipped bug dwarfs $20/review,” the company’s spokesperson told VentureBeat. “A single production incident — a rollback, a hotfix, an on-call page — can cost more in engineer hours than a month of Code Review. Code Review is an insurance product for code quality, not a productivity tool for churning through PRs faster.”

That framing is deliberate and revealing. Rather than competing on speed or price — the dimensions where lightweight tools have an advantage — Anthropic is positioning Code Review as a depth-first tool aimed at engineering leaders who manage production risk. The implicit argument is that the real cost comparison isn’t Code Review versus CodeRabbit, but Code Review versus the fully loaded cost of a production outage, including engineer time, customer impact, and reputational damage.

Whether that argument holds up will depend on the data. Anthropic has not yet published external benchmarks comparing Code Review’s bug-detection rates against competitors, and the spokesperson did not provide specific figures on bugs caught per dollar or developer hours saved when asked directly. For engineering leaders evaluating the tool, that gap in publicly available comparative data may slow adoption, even if the theoretical ROI case is compelling.

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What the internal numbers reveal — and what they don’t

Anthropic’s internal usage data provides an early window into the system’s performance characteristics. On large pull requests exceeding 1,000 lines changed, 84% receive findings, averaging 7.5 issues per review. On small PRs under 50 lines, that drops to 31% with an average of 0.5 issues. The company reports that less than 1% of findings are marked incorrect by engineers.

That sub-1% figure is the kind of stat that demands careful unpacking. When asked how “marked incorrect” is defined, the Anthropic spokesperson explained that it means “an engineer actively resolving the comment without fixing it. We’ll continue to monitor feedback and engagement while Code Review is in research preview.”

The methodology matters. This is an opt-in disagreement metric — an engineer has to take the affirmative step of dismissing a finding. In practice, developers under time pressure may simply ignore irrelevant findings rather than actively marking them as wrong, which would cause false positives to go uncounted. Anthropic acknowledged the limitation implicitly by noting the system is in research preview and that it will continue monitoring engagement data. The company has not yet conducted or published a controlled evaluation comparing agent findings against a ground-truth baseline established by expert human reviewers.

The anecdotal evidence is nonetheless striking. Anthropic described a case where a one-line change to a production service — the kind of diff that typically receives a cursory approval — was flagged as critical by Code Review because it would have broken authentication for the service. In another example involving TrueNAS’s open-source middleware, Code Review surfaced a pre-existing bug in adjacent code during a ZFS encryption refactor: a type mismatch that was silently wiping the encryption key cache on every sync. These are precisely the categories of bugs — latent issues in touched-but-unchanged code, and subtle behavioral changes hiding in small diffs — that human reviewers are statistically most likely to miss.

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A Pentagon lawsuit casts a long shadow over enterprise AI

The Code Review launch does not exist in a vacuum. On the same day, Anthropic filed two lawsuits — one in the U.S. District Court for the Northern District of California and another in the D.C. Circuit Court of Appeals — challenging the Trump administration’s decision to label the company a supply chain risk to national security, a designation historically reserved for foreign adversaries.

The legal confrontation stems from a breakdown in contract negotiations between Anthropic and the Pentagon. As CNN reported, the Defense Department wanted unrestricted access to Claude for “all lawful purposes,” while Anthropic insisted on two redlines: that its AI would not be used for fully autonomous weapons or mass domestic surveillance. When talks collapsed by a Pentagon-set deadline on February 27, President Trump directed all federal agencies to cease using Anthropic’s technology, and Defense Secretary Pete Hegseth formally designated the company a supply chain risk.

According to CNBC, the complaint alleges that these actions are “unprecedented and unlawful” and are “harming Anthropic irreparably,” with the company stating that contracts are already being cancelled and “hundreds of millions of dollars” in near-term revenue are in jeopardy.

“Seeking judicial review does not change our longstanding commitment to harnessing AI to protect our national security,” the Anthropic spokesperson told VentureBeat, “but this is a necessary step to protect our business, our customers, and our partners. We will continue to pursue every path toward resolution, including dialogue with the government.”

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For enterprise buyers evaluating Code Review and other Claude-based tools, the lawsuit introduces a novel category of vendor risk. The supply chain risk designation doesn’t just affect Anthropic’s government contracts — as CNBC reported, it requires defense contractors to certify they don’t use Claude in their Pentagon-related work. That creates a chilling effect that could extend well beyond the defense sector, even as the company’s commercial momentum accelerates.

Microsoft, Google, and Amazon draw a line around Claude’s commercial availability

The market’s response to the Pentagon crisis has been notably bifurcated. While the government moved to isolate Anthropic, the company’s three largest cloud distribution partners moved in the opposite direction.

Microsoft on Monday announced it is integrating Claude into Microsoft 365 Copilot through a new product called Copilot Cowork, developed in close collaboration with Anthropic. As Yahoo Finance reported, the service enables enterprise users to perform tasks like building presentations, pulling data into Excel spreadsheets, and coordinating meetings — the kind of agentic productivity capabilities that sent shares of SaaS companies like Salesforce, ServiceNow, and Intuit tumbling when Anthropic first debuted its Cowork product on January 30.

The timing is not coincidental. As TechCrunch reported last week, Microsoft, Google, and Amazon Web Services all confirmed that Claude remains available to their customers for non-defense workloads. Microsoft’s legal team specifically concluded that “Anthropic products, including Claude, can remain available to our customers — other than the Department of War — through platforms such as M365, GitHub, and Microsoft’s AI Foundry.”

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That three of the world’s most powerful technology companies publicly reaffirmed their commitment to distributing Anthropic’s models — on the same day the company sued the federal government — tells enterprise customers something important about the market’s assessment of both Claude’s technical value and the legal durability of the supply chain risk designation.

Data security and what enterprise buyers need to know next

For organizations considering Code Review, the data handling question looms especially large. The system necessarily ingests proprietary source code to perform its analysis. Anthropic’s spokesperson addressed this directly: “Anthropic does not train models on our customers’ data. This is part of why customers in highly regulated industries, from Novo Nordisk to Intuit, trust us to deploy AI safely and effectively.”

The spokesperson did not detail specific retention policies or compliance certifications when asked, though the company’s reference to pharmaceutical and financial services clients suggests it has undergone the kind of security review those industries require.

Administrators get several controls for managing costs and scope, including monthly organization-wide spending caps, repository-level enablement, and an analytics dashboard tracking PRs reviewed, acceptance rates, and total costs. Once enabled, reviews run automatically on new pull requests with no per-developer configuration required.

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The revenue figure Anthropic confirmed — a $2.5 billion run rate as of February 12 for Claude Code — underscores just how quickly developer tooling has become a material revenue line for the company. The spokesperson pointed to Anthropic’s recent Series G fundraise for additional context but did not break out what share of total company revenue Claude Code now represents.

Code Review is available now in research preview for Claude Code Team and Enterprise plans. Whether it can justify its premium in a market already crowded with cheaper alternatives will depend on whether Anthropic can convert anecdotal bug catches and internal usage stats into the kind of rigorous, externally validated evidence that engineering leaders with production budgets require — all while navigating a legal and political environment unlike anything the AI industry has previously faced.

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Real-Time ISS Tracker Shows Off The Goods

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What hardware hacker doesn’t have a soft spot for transparent cases? While they may have fallen out of mainstream favor, they have an undeniable appeal to anyone with an interest in electronic or mechanical devices. Which is why the Orbigator built by [wyojustin] stands out among similar desktop orbital trackers we’ve seen.

Conceptually, it’s very similar to the International Space Station tracking lamp that [Will Dana] built in 2025. In fact, [wyojustin] cites it specifically as one of the inspirations for this project. But unlike that build, which saw a small model of the ISS moving across the surface of the globe, a transparent globe is rotated around the internal mechanism. This not only looks gorgeous, but solves a key problem in [Will]’s design — that is, there’s no trailing servo wiring that needs to be kept track of.

For anyone who wants an Orbigator of their own, [wyojustin] has done a fantastic job of documenting the hardware and software aspects of the build, and all the relevant files are available in the project’s GitHub repository.

The 3D printable components have been created with OpenSCAD, the firmware responsible for calculating the current position of the ISS on the Raspberry Pi Pico 2 is written in MicroPython, and the PCB was designed in KiCad. Incidentally, we noticed that Hackaday alum [Anool Mahidharia] appears to have been lending a hand with the board design.

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As much as we love these polished orbital trackers, we’ve seen far more approachable builds if you don’t need something so elaborate. If you’re more interested in keeping an eye out for planes and can get your hands on a pan-and-tilt security camera, it’s even easier.

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Dutch intelligence services warn of Russian hackers targeting Signal and WhatsApp

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The Netherlands’ military intelligence service and domestic intelligence agency have issued a join warning claiming that Russian hackers have launched “a large-scale global cyber campaign to gain access to Signal and WhatsApp accounts belonging to dignitaries, military personnel and civil servants.” According to the Dutch alert, hackers are imitating support chatbots to trick key targets into revealing their PINs for those communication platforms, which allows the bad actors to access incoming messages.

Last year in the US, the Pentagon advised members not to use Signal after the platform was subjected to similar phishing scams by Russian hackers. (Although the same US military leaders proved capable of creating their own security breaches without foreign interference just days prior.)

Having another national government raise concerns about Signal and WhatsApp phishing scams offers yet another reminder to never provide security details or click links without a check on who is really asking for your info.

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