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Anthropic just launched Claude Design, an AI tool that turns prompts into prototypes and challenges Figma

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Anthropic today launched Claude Design, a new product from its Anthropic Labs division that allows users to create polished visual work — designs, interactive prototypes, slide decks, one-pagers, and marketing collateral — through conversational prompts and fine-grained editing controls. The release, available immediately in research preview to all paid Claude subscribers, is the company’s most aggressive expansion beyond its core language model business and into the application layer that has historically belonged to companies like Figma, Adobe, and Canva.

Claude Design is powered by Claude Opus 4.7, Anthropic’s most capable generally available vision model, which the company also released today. Anthropic says it is rolling access out gradually throughout the day to Claude Pro, Max, Team, and Enterprise subscribers.

The simultaneous launches mark a watershed for Anthropic, whose ambitions now visibly extend from foundation model provider to full-stack product company — one that wants to own the arc from a rough idea to a shipped product. The timing is also significant: Anthropic hit roughly $20 billion in annualized revenue in early March 2026, according to Bloomberg, up from $9 billion at the end of 2025 — and surpassed $30 billion by early April 2026. The company is in early talks with Goldman Sachs, JPMorgan, and Morgan Stanley about a potential IPO that could come as early as October 2026.

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How Claude Design turns a text prompt into a working prototype

The product follows a workflow that Anthropic has designed to feel like a natural creative conversation. Users describe what they need, and Claude generates a first version. From there, refinement happens through a combination of channels: chat-based conversation, inline comments on specific elements, direct text editing, and custom adjustment sliders that Claude itself generates to let users tweak spacing, color, and layout in real time.

During onboarding, Claude reads a team’s codebase and design files and builds a design system — colors, typography, and components — that it automatically applies to every subsequent project. Teams can refine the system over time and maintain more than one. The import surface is broad: users can start from a text prompt, upload images and documents in various formats, or point Claude at their codebase. A web capture tool grabs elements directly from a live website so prototypes look like the real product.

What distinguishes Claude Design from the wave of AI design experiments that have proliferated in the past year is the handoff mechanism. When a design is ready to build, Claude packages everything into a handoff bundle that can be passed to Claude Code with a single instruction. That creates a closed loop — exploration to prototype to production code — all within Anthropic’s ecosystem. The export options acknowledge that not everyone’s next step is Claude Code: users can also share designs as an internal URL within their organization, save as a folder, or export to Canva, PDF, PPTX, or standalone HTML files.

Anthropic points to Brilliant, the education technology company known for intricate interactive lessons, as an early proof point. The company’s senior product designer reported that the most complex pages required 20 or more prompts to recreate in competing tools but needed only 2 in Claude Design. The Brilliant team then turned static mockups into interactive prototypes they could share and user-test without code review, and handed everything — including the design intent — to Claude Code for implementation. Datadog’s product team described a similar shift, compressing what had been a week-long cycle of briefs, mockups, and review rounds into a single conversation.

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Why Anthropic’s chief product officer just resigned from Figma’s board

The launch arrives against a backdrop that makes Anthropic’s claim of complementarity with existing design tools difficult to take entirely at face value. Mike Krieger, Anthropic’s chief product officer, resigned from the board of Figma on April 14 — the same day The Information reported Anthropic’s next model would include design tools that could compete with Figma’s primary offering.

Figma has collaborated closely with Anthropic to integrate the frontier lab’s AI models into its products. Just two months ago, in February, Figma launched “Code to Canvas,” a feature that converts code generated in AI tools like Claude Code into fully editable designs inside Figma — creating a bridge between AI coding tools and Figma’s design process. The partnership felt like a mutual bet that AI would make design more essential, not less. Claude Design complicates that narrative significantly.

Anthropic’s position, based on VentureBeat’s background conversations with the company, is that Claude Design is built around interoperability and is meant to meet teams where they already work, not replace incumbent tools. The company points to the Canva export, PPTX and PDF support, and plans to make it easier for other tools to connect via MCPs (model context protocols) as evidence of that philosophy. Anthropic is also making it possible for other tools to build integrations with Claude Design, a move clearly designed to preempt accusations of walled-garden ambitions.

But the market read the signals differently. The structural tension is clear: Figma commands an estimated 80 to 90% market share in UI and UX design, according to The Next Web. Both Figma and Adobe assume a trained designer is in the loop. Anthropic’s tool does not. Claude Design is not merely another AI copilot embedded in an existing design application. It is a standalone product that generates complete, interactive prototypes from natural language — accessible to founders, product managers, and marketers who have never opened Figma. The expansion of the design user base to non-designers is the real competitive threat, even if the professional designer’s workflow remains anchored in Figma for now.

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Inside Claude Opus 4.7, the model Anthropic deliberately made less dangerous

The model powering Claude Design is itself a significant story. Claude Opus 4.7 is Anthropic’s most capable generally available model, with notable improvements over its predecessor Opus 4.6 in software engineering, instruction following, and vision — but it is intentionally less capable than Anthropic’s most powerful offering, Claude Mythos Preview, the model the company announced earlier this month as too dangerous for broad release due to its cybersecurity capabilities.

That dual-track approach — one model for the public, one model locked behind a vetted-access program — is unprecedented in the AI industry. Anthropic used Claude Mythos Preview to identify thousands of zero-day vulnerabilities in every major operating system and web browser, as reported by multiple outlets. The Project Glasswing initiative that houses Mythos brings together Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, Nvidia, and Palo Alto Networks as launch partners.

Opus 4.7 sits a deliberate step below Mythos. Anthropic stated in its release that it “experimented with efforts to differentially reduce” the new model’s cyber capabilities during training and ships it with safeguards that automatically detect and block requests indicating prohibited or high-risk cybersecurity uses. What Anthropic learns from those real-world safeguards will inform the eventual goal of broader release for Mythos-class models. For security professionals with legitimate needs, the company has created a new Cyber Verification Program.

On benchmarks, the model posts strong numbers. Opus 4.7 reached 64.3% on SWE-bench Pro, and on Anthropic’s internal 93-task coding benchmark, it delivered a 13% resolution improvement over Opus 4.6, including solving four tasks that neither Opus 4.6 nor Sonnet 4.6 could crack.

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The vision improvements are substantial and directly relevant to Claude Design: Opus 4.7 can accept images up to 2,576 pixels on the long edge — roughly 3.75 megapixels, more than three times the resolution of prior Claude models. Early access partner XBOW, the autonomous penetration testing company, reported that the new model scored 98.5% on their visual-acuity benchmark versus 54.5% for Opus 4.6.

Meanwhile, Bloomberg reported that the White House is preparing to make a version of Mythos available to major federal agencies, with the Office of Management and Budget setting up protections for Cabinet departments — a sign that the government views the model’s capabilities as too important to leave solely in private hands.

What enterprise buyers need to know about data privacy and pricing

For enterprise and regulated-industry buyers, the data handling architecture of Claude Design will be a critical evaluation criterion. Based on VentureBeat’s exclusive background discussions with Anthropic, the system stores the design-system representation it generates — not the source files themselves. When users link a local copy of their code, it is not uploaded to or stored on Anthropic’s servers. The company is also adding the ability to connect directly to GitHub. Anthropic states unequivocally that it does not train on this data. For Enterprise customers, Claude Design is off by default — administrators choose whether to enable it and control who has access.

On pricing, Claude Design is included at no additional cost with Pro, Max, Team, and Enterprise plans, using existing subscription limits with optional extra usage beyond those caps. Opus 4.7 holds the same API pricing as its predecessor: $5 per million input tokens and $25 per million output tokens. The pricing strategy mirrors the approach Anthropic took with Claude Code, which launched as a bundled feature and rapidly grew into a major revenue driver. Anthropic’s reasoning is straightforward: the best way to learn what people will build with a new product category is to put it in their hands, then build monetization around demonstrated value.

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Anthropic is also being transparent about the product’s limitations. The design system import works best with a clean codebase; messy source code produces messy output. Collaboration is basic and not yet fully multiplayer. The editing experience has rough edges. There is no general availability date, and Anthropic says that is intentional — it will let the product and user feedback determine when Claude Design is ready for prime time.

Anthropic’s bet that owning the full creative stack is worth the risk

Claude Design is the most visible expression of a trend that has been accelerating for months: the major AI labs are moving up the stack from model providers into full application builders, directly entering categories previously owned by established software companies. Anthropic now offers a coding agent (Claude Code), a knowledge-work assistant (Claude Cowork), desktop computer control, office integrations for Word, Excel, and PowerPoint, a browser agent in Chrome, and now a design tool. Each product reinforces the others. A designer can explore concepts in Claude Design, export a prototype, hand it to Claude Code for implementation, and have Claude Cowork manage the review cycle — all within Anthropic’s platform.

The financial momentum behind this expansion is staggering. Anthropic has received investor offers valuing the company at approximately $800 billion, according to Reuters, more than doubling its $380 billion valuation from a funding round closed just two months ago. But building an application empire while simultaneously navigating an AI safety reputation, an impending IPO, growing public hostility toward the technology, and the diplomatic fallout of competing with your own partners is a balancing act that no technology company has attempted at this scale or speed.

When Figma launched Code to Canvas in February, the implicit promise was that AI coding tools and design tools would grow together, each making the other more valuable. Two months later, Anthropic’s chief product officer has left Figma’s board, and the company has shipped a product that lets anyone who can type a sentence create the kind of interactive prototype that once required years of design training and a Figma license. The partnership may survive. But the power dynamic just changed — and in the AI industry, that tends to be the only kind of change that matters.

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Quordle hints and answers for Saturday, April 18 (game #1545)

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Looking for a different day?

A new Quordle puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Friday’s puzzle instead then click here: Quordle hints and answers for Friday, April 17 (game #1544).

Quordle was one of the original Wordle alternatives and is still going strong now more than 1,400 games later. It offers a genuine challenge, though, so read on if you need some Quordle hints today – or scroll down further for the answers.

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Amazon payments to Bezos’ Blue Origin reach $1.8B as shareholders cite conflicts of interest

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Jeff Bezos
Jeff Bezos, the billionaire founder of Amazon and Blue Origin, shows off a mockup of the New Shepard suborbital space capsule during a 2017 conference in Colorado. (GeekWire Photo / Kevin Lisota)

Amazon paid about $1.8 billion last year to Blue Origin, the space company owned by its founder and board chair Jeff Bezos — nearly triple the amount the year before — as the tech giant prepared to ramp up deployment of its own low-Earth orbit satellite constellation. 

The increase comes as shareholders weigh a proposal calling for a mandatory independent board chair, citing Bezos’ business interests outside Amazon as potential conflicts of interest. 

Bezos stepped down as Amazon’s CEO in 2021 but remains executive chairman.

According to the filing, the company paid approximately $2.2 billion total under satellite launch agreements during the past fiscal year, with an estimated $1.8 billion going to Blue Origin. The prior year’s proxy showed Blue Origin receiving about $578 million out of $1.7 billion total. 

Amazon is building a constellation of 3,236 low-Earth orbit satellites under the Amazon Leo program, formerly known as Project Kuiper, to beam broadband internet to consumers and businesses. The company has deployed 243 satellites so far and has asked the FCC for a two-year extension on a July deadline to launch roughly half of the fleet. 

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The company this week also announced a $10.8 billion deal this week to acquire Globalstar, a satellite operator that has used SpaceX as its primary launch provider. 

Blue Origin’s New Glenn rocket made its debut flight in January 2025 but has not yet reached the launch cadence needed for the rollout. In addition to Blue Origin, Amazon has launch agreements in place with United Launch Alliance and Arianespace, and has also tapped Blue Origin rival SpaceX’s Falcon 9 for some launches, as Reuters reported this week

Bezos is also co-founder and co-CEO of AI startup Project Prometheus, a venture focused on applying AI to manufacturing and engineering across a variety of commercial sectors. 

The shareholder proposal calling for a mandatory independent chair, submitted by the AFL-CIO Reserve Fund, points to Bezos’ expanding role outside Amazon as cause for concern. 

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“As a technology company, Project Prometheus could be a potential competitor or a business partner with our Company, raising potential conflicts of interest,” the proposal states, also citing Amazon’s multibillion-dollar launch agreements with Blue Origin as a potential conflict.

It notes that Amazon also has done business with the Bezos-owned Washington Post.

Amazon’s board recommends voting against the proposal, arguing that its lead independent director structure provides sufficient oversight. The role is currently held by Jamie Gorelick, a former U.S. Deputy Attorney General. The company’s annual meeting is set for May 20. 

The Blue Origin contracts have drawn scrutiny before. A shareholder lawsuit filed in 2023 alleged Amazon’s board spent less than 40 minutes approving the launch agreements without considering SpaceX as an alternative. Delaware’s Court of Chancery dismissed the case, and the state Supreme Court affirmed that ruling in November 2025.

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NYT Connections hints and answers for Saturday, April 18 (game #1042)

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Looking for a different day?

A new NYT Connections puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Friday’s puzzle instead then click here: NYT Connections hints and answers for Friday, April 17 (game #1041).

Good morning! Let’s play Connections, the NYT’s clever word game that challenges you to group answers in various categories. It can be tough, so read on if you need Connections hints.

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US-sanctioned currency exchange says $15 million heist done by “unfriendly states”

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Grinex, a US-sanctioned cryptocurrency exchange registered in Kyrgyzstan, said it’s halting operations after experiencing a $13 million heist carried out by “western special services” hackers.

Researchers from TRM, which has confirmed the theft, put the value of stolen assets at $15 million after discovering roughly 70 drained addresses, about 16 more than Grinex reported. Neither TRM nor fellow blockchain research firm Elliptic has said how the attackers slipped past Grinex’s defenses. Grinex said it has been under almost constant attack attempts since incorporating 16 months ago. The latest attacks, it said, targeted Russian users of the exchange.

Damaging “Russia’s financial sovereignty”

“The digital footprints and nature of the attack indicate an unprecedented level of resources and technology available exclusively to the structures of unfriendly states,” Grinex said. “According to preliminary data, the attack was coordinated with the aim of causing direct damage to Russia’s financial sovereignty.”

“Due to the attack, the Grinex exchange is forced to suspend operations,” Grinex continued. “All available information has been transferred to law enforcement agencies. An application has been submitted to the location of the infrastructure to initiate a criminal case.”

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TRM said that TokenSpot, a second Kyrgyzstan-based exchange, was also breached. Two of the exchange’s addresses sent funds to the same consolidation address used by the affected Grinex-linked wallets. What’s more, both exchanges became inoperable on Wednesday, suggesting they were hit by the same attacker.

TRM said TokenSpot was a front for Grinex, which the US Treasury Department sanctioned last year. The department’s Office of Foreign Assets Control said that Grinex, in turn, was a rebrand of Garantex, an exchange it had sanctioned in 2022. The department said then that Ganantex had “directly facilitated notorious ransomware actors and other cybercriminals by processing over $100 million in transactions linked to illicit activities since 2019.” Last year’s sanctions against Grinex came a few months after TRM said that the exchange was likely a front for Ganantex.

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A Chinese AI just solved a decade-old math problem in 80 hours with zero human help and proved it

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  • The dual agent AI system autonomously solved Anderson’s conjecture from 2014
  • Rethlas explores problem-solving strategies like a human mathematician would
  • Archon transforms potential proofs into projects for the Lean 4 verifier

A research team led by Peking University developed a dual-agent AI system capable of solving advanced mathematical problems while also verifying its own results.

The system resolved a conjecture proposed in 2014 by Dan Anderson, completing the process within 80 hours of runtime.

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How Threat Actors Vet Stolen Credit Card Shops

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Credit Cards

The underground market for stolen credit card data has long operated as a volatile and highly deceptive ecosystem, where even experienced actors routinely fall victim to scams, exit schemes, and compromised services.

In recent years, this environment has become even more unstable, driven by increased law enforcement pressure, internal distrust among criminals, and the rapid turnover of marketplaces. As a result, threat actors are increasingly forced to adopt more structured approaches to identifying reliable suppliers and minimizing risk within their own illicit operations.

A guide found on an underground forum by Flare analysts sheds light on how threat actors themselves navigate the volatile world of credit card (CC) marketplaces.

The document, titled “The Underground Guide to Legit CC Shops: Cutting Through the Bullshit”—provides a structured look at how actors attempt to reduce risk in an ecosystem plagued by scams, law enforcement infiltration, and short‑lived operations.

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Analysis of the guide reveals more than just practical advice. It outlines a methodology for vetting carding shops, operational security practices, and sourcing strategies, effectively documenting how today’s fraud actors think about trust, reliability, and survivability.

While parts of the guide appear to promote specific services, suggesting a possible vested interest from its author, it still offers a valuable glimpse into the inner workings of the carding economy, and the evolving standards actors use to operate within it.

From Opportunistic Fraud to Supplier Vetting Discipline

One of the most striking aspects of the guide is how it reframes carding from opportunistic fraud into a process‑driven discipline. Rather than focusing on how to use stolen cards, the document emphasizes how to evaluate suppliers.

This shift reflects a broader evolution within underground markets, where the primary risk is no longer just operational failure, but being defrauded by other criminals or interacting with compromised infrastructure.

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Screenshot from one of the recommended shops in the guide, named
Screenshot from one of the recommended shops in the guide, named “CardingHub”

The author repeatedly stresses that legitimacy is not defined by branding or visibility, but by survivability. In other words, a “real” shop is one that continues operating over time despite law enforcement operations, scams, and internal instability.

This aligns with observed trends in underground economies, where the lifespan of marketplaces has become increasingly unpredictable, forcing actors to adopt continuous verification practices.

The guide makes it clear that what separates a “legitimate” shop from the rest isn’t branding or uptime, it’s the quality of the stolen data it delivers. References to “fresh bins” (BIN = Bank Identifiable Number) and low decline rates point directly to the sources behind the data, whether from infostealer infections, phishing campaigns, or point-of-sale breaches. In this ecosystem, reputation isn’t built on promises but on consistently providing cards that actually work.

Shops that fail to maintain reliable data sources are quickly exposed, while those with steady access to fresh compromises rise to the top.

Carding actors are adopting disciplined workflows to source and test stolen financial data.

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Flare continuously monitors underground forums and marketplaces, giving your team early visibility into exposed credentials, compromised cards, and emerging fraud infrastructure.

Keep up with threat actors for free

Building Trust in a Trustless Market

Transparency is another recurring theme. The guide highlights the importance of clear pricing models, real‑time inventory, and functional support systems, including ticketing and escrow services. These characteristics closely mirror legitimate e‑commerce platforms, underscoring how leading carding shops have adopted business practices designed to build user confidence and reduce friction.

Equally important is the role of community validation. The guide dismisses on‑site testimonials as unreliable, instead directing users toward discussions in closed or invite‑only forums. This reflects a broader fragmentation of the underground landscape, where trust is increasingly tied to controlled environments and long‑standing reputations.

Actors are encouraged to look for sustained discussion threads and historical presence, rather than isolated positive feedback.

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The document also reveals a strong awareness of adversarial pressures. The emphasis on security‑first infrastructure, such as mirror domains, DDoS protection, and the absence of tracking mechanisms, suggests that operators are actively defending against both law enforcement monitoring and competing criminal groups.

In effect, these marketplaces function not only as distribution platforms, but as hardened environments designed to ensure operational continuity.

Screenshot from one of the recommended shops in the guide, named
Screenshot from one of the recommended shops in the guide, named “CardingHub”

The Technical Checklist 

Beyond high‑level principles, the guide introduces a step‑by‑step vetting protocol that provides insight into how threat actors conduct due diligence. Technical checks such as domain age, WHOIS privacy, and SSL configuration are presented as baseline requirements.

While these checks are relatively simple, they demonstrate an effort to apply structured analysis to what has historically been a trust‑based decision process.

The guide also highlights the importance of identifying mirror infrastructure and backup access points, noting that established operations rarely rely on a single domain. This reflects a practical understanding of the instability of underground services, where takedowns and disruptions are common. The presence of multiple access points is framed as an indicator of operational maturity and resilience.

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Social intelligence gathering plays an equally significant role. Rather than relying on direct interactions with vendors, users are encouraged to analyze forum discussions, track vendor histories, and identify patterns of behavior over time.

Particular attention is given to detecting coordinated endorsement campaigns, such as multiple positive reviews originating from newly created accounts, a tactic frequently associated with scams.

Operational Security 

Another critical component of the guide is its focus on operational security. The recommendations provided, while framed in the context of carding, closely mirror practices observed across a wide range of cybercriminal activities. Users are advised to avoid direct connections, utilize proxy services aligned with target geographies, and compartmentalize their environments through dedicated systems or virtual machines.

The discussion of cryptocurrency usage is particularly notable. The guide strongly discourages direct transactions from regulated platforms, instead advocating for intermediary wallets and privacy‑focused assets such as Monero. This reflects a growing awareness among threat actors of blockchain analysis capabilities and the risks associated with traceable financial flows.

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Taken together, these OPSEC recommendations highlight an important shift: actors are no longer relying solely on tools to evade detection, but are adopting layered strategies designed to reduce exposure across the entire operational chain. This level of discipline suggests that even mid‑tier actors are increasingly adopting practices once associated with more advanced threat groups.

Scale vs. Exclusivity

The guide further categorizes carding shops into distinct operational models, including large automated platforms and smaller, curated vendor groups. This segmentation reflects the diversification of the underground economy, where different actors prioritize scale, accessibility, or quality depending on their objectives.

Automated platforms are described as highly efficient environments, often featuring integrated tools and instant purchasing capabilities. These operations resemble legitimate online marketplaces in both structure and functionality, enabling users to quickly acquire and test data at scale.

In contrast, boutique vendor groups emphasize exclusivity, higher quality, and controlled access, often relying on invitation‑based systems and long‑term relationships.

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Commercial Interests and Operational Reality

Despite its structured approach, the guide is not without bias. The inclusion of a direct endorsement for a specific platform suggests that the author may have a vested interest in promoting certain services. This is a common pattern in underground communities, where informational content is often used as a vehicle for subtle advertising or affiliate activity.

Such endorsements should be viewed with caution. However, they do not necessarily invalidate the broader insights provided by the guide. Instead, they highlight the complex interplay between information sharing and commercial interests within cybercriminal ecosystems.

From a defensive perspective, the guide offers valuable intelligence into how threat actors assess risk and make operational decisions. The emphasis on verification, community validation, and layered security reflects a level of maturity that complicates traditional disruption efforts. Rather than relying on single points of failure, actors are increasingly building redundancy and adaptability into their workflows.

Ultimately, the document serves as both a playbook and a signal. It demonstrates that the carding ecosystem became more structured, more cautious, and more resilient. For defenders, understanding these dynamics is critical to anticipating how these markets will continue to evolve, and where opportunities for disruption may still exist.

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How Flare Can Help

Flare helps organizations stay ahead of fraud by continuously monitoring underground forums and marketplaces, revealing how threat actors source, vet, and use stolen credit card data. This provides early insight into attacker behavior, including how they optimize success rates, build trust, and adapt to defenses.

By turning this intelligence into actionable insights, Flare enables security teams to detect exposures, anticipate fraud campaigns, and disrupt attacker workflows-shifting from reactive response to proactive, intelligence-driven defense.

Learn more by signing up for our free trial.

Sponsored and written by Flare.

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Are electric vehicles about to take off for good?

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London School of Economics’ Viet Nguyen-Tien and University of Birmingham’s Gavin Harper and Robert Elliott examine whether EVs have passed a tipping point for adoption.

Click here to visit The Conversation.

A version of this article was originally published by The Conversation (CC BY-ND 4.0)

When the Strait of Hormuz first closed in March and oil hit $120 a barrel, a very old question came back: is this finally the moment electric vehicles (EV) take off for good – or just another false start?

EVs have been here before. They surged after the 1973 oil embargo, collapsed when oil fell, and surged again. Each wave died when the external pressure eased.

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We think this time is different. In a new discussion paper, we argue that the economic case for electric vehicles is now improving on its own terms. This is because of what has happened to batteries, not because of the oil price. The same evidence, though, shows the transition creates new problems as serious as the ones it solves.

Why this time is different

Battery costs have fallen 93pc since 2010. That is the number that changes everything. A pack that cost more than $1,000 per kilowatt-hour in 2010 cost $108 by late 2025, driven down by a decade of learning, investment and policy support.

Research on the global battery industry finds that every time cumulative production doubles, costs fall by around 9pc. More buyers, more production, lower costs, more buyers.

Unlike the 1970s, this loop does not need an oil crisis to keep spinning. Electric cars have crossed lifetime cost parity with petrol vehicles across much of Europe; in the used-car market they now have the lowest total cost of ownership. Newer models even match petrol cars in estimated lifespan – something early EVs could not claim.

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Global sales surpassed 17m in 2024, one of the fastest technology diffusion processes in the history of transport. Norway is near-fully electrified. And Ethiopia reached around 60pc EV sales share in 2024, powered by cheap hydroelectricity – some way ahead of the US, for instance, which sits at around 8pc.

An economic platform, not just a better engine

The deeper reason this wave will not fade is not technical – it is economic. An EV is a platform. Its value grows as the network around it grows, just as smartphones became indispensable not because of the hardware but because of everything connected to it.

Every charger built makes the next EV more attractive. Every software update raises the value of every car already on the road. Every recycled battery feeds back into the supply chain that makes the next one cheaper. It’s part of the reason some other technologies like hydrogen fuel cell vehicles have struggled to get off the ground in numbers – the tech exists, but all the other elements aren’t quite there.

One study of 8,000 drivers in Shanghai found that range anxiety – the fear of running out of charge – has a real economic cost due to unnecessarily avoided trips. But that cost is falling sharply, not because batteries improved, but because charging networks expanded.

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Making real-time charger availability visible could add six to eight percentage points to market share by 2030. And because EV charging is far more flexible than other household electricity demand, drivers can shift away from peak hours remarkably easily when the price is right – turning the car into a grid asset, able to store and release electricity when needed. These are economic network effects, not engineering features.

Swapping one dependency for another

Ending oil dependence does not end geopolitical exposure. It relocates it.

In late 2025, China introduced rules requiring government approval for exports containing more than 0.1pc rare earths. The leverage that once came from control of oil flows now comes from control of processing capacity and component supply chains.

The minerals at stake – lithium, cobalt, nickel, graphite and neodymium to name but a handful – carry their own geopolitical risks and, as we have written elsewhere, serious human costs in the communities that mine them. This creates a predictable cycle of social contestation that threatens to stall the transition unless the industry commits to responsible, sustainable innovation.

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The metal cobalt traditionally helped EVs travel further on the same charge. And when prices spiked, so did research into making batteries with less or even no cobalt. Today, more than half of all EV batteries sold globally are cobalt free.

Four decades of patent data show the same pattern: higher mineral prices consistently redirect research and development toward mineral-saving technologies.

Recovering lithium and cobalt from used batteries is becoming economically viable too, shifting part of the supply chain away from geopolitically exposed extraction sites. In addition, Norway and other countries are looking to exploit new critical mineral resources to diversify supplies.

The transition is real – but not risk-free

The Hormuz crisis is a reminder of what concentrated energy dependence costs. The EV transition does not need it. The learning curve keeps falling, the platform keeps compounding, the economics keep improving. That is what makes this wave different.

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What it does not do is eliminate geopolitical risk. Unlike oil, where leverage comes from energy flows, EV supply chains concentrate power at materials, processing capacity, and technological bottlenecks – supply chains that are highly concentrated and carry their own serious risks. Fuel dependence becomes mineral dependence. That dependence is highly concentrated.

Traditional carmaking regions are already absorbing concentrated job losses, and history shows such disruptions leave persistent scars even if the long-term aggregate effects are positive. Yet electric vehicle assembly is proving more labour-intensive in western countries than expected – requiring more workers on the shopfloor, not fewer, at least in the ramp-up phase. Contrast this with China, where massive automation has led to the creation of ‘dark factories’ where there are so few humans, internal lighting isn’t required.

The same regions facing losses could benefit. But the gains and losses do not fall on the same people. That is where the work remains.

The Conversation
By Dr Viet Nguyen-Tien, Dr Gavin D J Harper and Prof Robert Elliott

Viet Nguyen-Tien is an applied economist at the Centre for Economic Performance (CEP) at the London School of Economics (LSE) with an interest in economic and political issues related to technology, energy and the environment.

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Gavin Harper is a research fellow at the Birmingham Centre for Strategic Elements & Critical Materials in Birmingham Business School at the University of Birmingham focused on issues at the critical materials/energy nexus.

Robert Elliott is an applied economist at the University of Birmingham who works at the intersection of international economics, development economics, environmental and energy economics and international business.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

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Kevin Weil and Bill Peebles exit OpenAI as company continues to shed ‘side quests’

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OpenAI is losing two of the architects of its most ambitious moonshots. Kevin Weil, who led the company’s science research initiative, and Bill Peebles, the researcher behind AI video tool Sora, both announced their departures on Friday. The exits come as OpenAI consolidates around enterprise AI and its forthcoming “superapp.”

The departures follow OpenAI’s decision to cut back on “side quests,” including customer-facing bets like Sora and OpenAI for Science. Sora, which was losing an estimated $1 million per day in compute costs, was shut down last month.

OpenAI for Science was the internal research group behind Prism, an AI-powered platform that promised to accelerate scientific discovery. It’s being absorbed into “other research teams,” according to Weil’s social media post announcing the news.

“It’s been a mind-expanding two years, from Chief Product Officer to joining the research team and starting OpenAI for Science,” Weil wrote. “Accelerating science will be one of the most stunningly positive outcomes of our push to AGI.”

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The team had a short and bumpy road after its formal announcement in October 2025. Weil deleted a tweet claiming GPT-5 had solved 10 previously unsolved Erdős mathematical problems, but that claim fell apart immediately when the mathematician who runs the website erdosproblems.com called it out.

Weil’s departure comes a day after his team released GPT-Rosalind, a new model to accelerate life sciences research and drug discovery.

In a social media post announcing his departure, Peebles credited Sora with igniting a “huge amount of investment in video across the industry,” and argued that the kind of research that produced the video tool requires space away from the company’s mainline roadmap.

“Cultivating entropy is the only way for a research lab to thrive long-term,” he wrote.

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OpenAI is also losing Srinivas Narayanan, its chief technology officer of enterprise applications, Wired reports. Narayanan reportedly announced the news internally that he was leaving to spend more time with family.

This article was updated to include the departure of Srinivas Narayanan.

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NASA built a spacecraft computer that can lose three systems mid-flight and still keep astronauts alive 250,000 miles from Earth

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  • The Orion spacecraft uses eight processors running identical instructions simultaneously
  • A fail-safe design prevents faulty computers from sending incorrect commands
  • Triple redundant memory corrects single-bit errors automatically on access

The NASA Artemis II mission relies on a computing system built to remain operational under extreme conditions and hardware faults.

Unlike the Apollo program, where onboard computers handled limited functions, the Orion spacecraft manages life support, navigation, and communication through integrated flight software.

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Sony’s New INZONE M10S II Monitor Lets Gamers Pick Between Sharp Detail and Record-Breaking Speed

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Sony INZONE M10S II Monitor Gaming Dual-Mode
Gamers seeking victory in any fast-paced game will want every frame they can get. Sony designed the INZONE M10S II with this specific purpose in mind, and they accomplished it by including two different modes. Switching between settings is simple on this 27-inch OLED panel. If you keep the resolution at 1440p, the display will run at a scorching 540 hertz. Drop the resolution to 1080p and you’ll be rewarded with an even faster refresh rate of 720 hertz.



That kind of flexibility is invaluable when you’re playing different games with varying demands on your screen. Some titles are all about the details, while others are simply about obtaining that speed, since every millisecond counts. Fortunately, the tandem OLED build of this display keeps the image quality sharp even while switching between modes. Sony also included a brilliant feature called motion blur reduction, which keeps fast-moving objects clear and prevents the screen from becoming too dim even when you’re in the thick of things.


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  • 【Epic QD-OLED 500Hz Monitor】 A new generation of gaming monitor is emerging, this new 27 Inch 1440p 500hz monitor adopts QD – OLED panel and…
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The display itself is also quite forgiving in terms of placement, since the special anti-glare coating does an excellent job at maintaining visibility regardless of the lighting conditions in your room. With that level of control over reflections, your emphasis remains where it should be: on the game. For the competitive crowd, there is an extra tiny tool in the arsenal known as tournament mode. When you turn it on, the display basically shrinks to 24.5 inches, with black bars on the sides, but you still get the desired high refresh rate.

Sony INZONE M10S II Gaming Monitor Dual-Mode
Ergonomically, the setup feels perfectly natural on almost any workstation. The stand can tilt from minus five to thirty-five degrees and adjusts in height by roughly five inches to maintain your screen at the ideal angle. Plus, it swivels left and right, allowing you to have a good perspective regardless of your preferences.

Sony INZONE M10S II Gaming Monitor Dual-Mode
In terms of input, you have two HDMI 2.1 connections and one DisplayPort 2.1 connector to keep up with the latest graphics cards. Variable refresh rate support almost guarantees that you’ll never have to struggle with those annoying screen tearing bugs. As an added bonus, you get two pre-tuned picture settings for shooter games: one that gives you the familiar look of a regular display, and another that really shows off the OLED panel. Sony plans to sell the monitor for $1,099, with a release later this year.
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