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Robinhood (HOOD) starts testing its own blockchain as crypto push deepens

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Robinhood (HOOD) starts testing its own blockchain as crypto push deepens

HONG KONG — Robinhood launched its public testnet for its own Ethereum layer-2 blockchain on Wednesday with plans for broader launch later this year as the brokerage app aims to move more trading activity onchain.

The new network, called Robinhood Chain, is built on Arbitrum and is designed to support tokenized real-world assets, including equities, exchange-traded funds (ETFs) and other assets. Developers will be able to publicly build on the network for the first time after six months of private testing, ahead of a future mainnet launch, the company announced at CoinDesk’s Consensus Hong Kong conference.

With the chain, Robinhood aims to allow users to trade 24/7 and self-custody their assets in Robinhood’s own crypto wallet. Users will also be able to bridge across different chains and to decentralized finance (DeFi) applications on Ethereum , the company said in a press release.

The timing comes as Ethereum’s core roadmap shifts more attention back to the base layer. Certain upgrades have already lowered transaction costs, and further improvements are expected to continue easing congestion, a development that weakens the case for layer-2s as a pure scaling necessity.

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Robinhood’s approach suggests it is already operating under that assumption.

“I think Vitalik [Buterin, the co-founder of Ethereum] was always pretty clear on this, that L2s were not just here to scale Ethereum,” said Johann Kerbrat, Robinhood’s senior vice president and general manager of crypto, in an interview with CoinDesk.

“For us, it was never really about scaling Ethereum or doing faster transactions,” Kerbrat added.

The move builds on Robinhood’s earlier steps into tokenization. Last year, the company rolled out token versions of U.S. stocks and ETFs for European users with dividend payments and extended market hours.

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Those assets — almost 2,000 stocks and ETFs, according to data by Entropy Advisors on Dune Analytics — were initially issued on Arbitrum. However, the $15 million in total value of the equity tokens Robinhood minted is lagging behind leading issuers xStocks and Ondo Global Markets.

When rollups — ways of processing transactions on layer-2 networks to ease congestion on the base network — first gained traction, they were widely framed as Ethereum’s answer to high fees and limited throughput. As Ethereum’s layer-1 capacity improves, that narrative is giving way to a different one: layer-2s as customizable, application-specific environments that can embed features difficult to implement on Ethereum itself.

“What we wanted was the security of Ethereum, the liquidity that is available on EVM chains and the Ethereum ecosystem,” Kerbrat said. “But we were also wanting to have a way to customize the chain and to make it really optimized for traditional assets being tokenized.”

Rather than competing with other high-speed trading-focused rollups, Robinhood Chain is being designed around tokenized equities and other regulated financial products, where compliance requirements vary by jurisdiction.

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“The complexity to recreate the entire financial system, and on top of that to bring more things on it, makes it that I think chains are going to specialize,” Kerbrat said. “You’ll see chains that are more specialized for payments, and you’ll see chains like ours that are going to be more specialized around tokenized equity.”

Buterin has recently argued that some rollups may need to accept different decentralization trade-offs, particularly when compliance or real-world assets are involved, a view that has stirred debate across the ecosystem.

For Robinhood, Kerbrat said, that shift does not materially change its strategy.

“It doesn’t really change anything for us,” he said. “We’ve always been building with the idea that there are different compliance requirements based on the jurisdiction, and all these things can be embedded into the chain.”

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Robinhood first announced plans for its own blockchain in June 2025, positioning the project as part of a broader push into tokenization and onchain finance. Since then, development has largely taken place out of public view.

With the testnet now live, developers can access network entry points, documentation, and standard Ethereum development tools. Ahead of mainnet, Robinhood plans to expand testnet functionality to include test-only assets, including stock tokens, along with deeper integrations with its wallet and other onchain financial tooling.

Read more: Robinhood explains building an Ethereum layer-2: ‘We wanted the security from Ethereum’

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Kaspersky Shares Practical AI Safety Tips for Children on Safer Internet Day

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Editor’s note: On Safer Internet Day, cybersecurity firm Kaspersky addresses a growing concern for families navigating the rapid adoption of AI by Generation Alpha. As children increasingly use AI-powered tools for learning, entertainment, and everyday questions, the company outlines practical guidance for parents on how to frame AI as a helpful tool without overlooking its risks. The focus is on education, supervision, and the responsible use of digital assistants, rather than restriction alone. The guidance reflects broader questions around digital literacy, data privacy, and online safety that are becoming central as AI tools enter daily life at an early age.

Key points

  • Parents are encouraged to explain what AI tools are and are not, emphasizing their limitations and potential inaccuracies.
  • Children should be taught to verify AI-generated information and avoid using it for sensitive topics without adult input.
  • Built-in safety settings and content filters on devices and platforms are highlighted as a first layer of protection.
  • Verifying the authenticity of AI-powered apps and limiting permissions is presented as essential to reducing privacy risks.
  • Ongoing dialogue between parents and children is positioned as key to safe and informed AI use.

Why this matters

As AI tools become embedded in everyday digital experiences, early exposure is shaping how the next generation learns, searches for information, and interacts online. For parents, this raises new challenges around trust, privacy, and digital wellbeing. For the broader tech ecosystem, it underscores the importance of responsible design, clear safeguards, and digital literacy as AI adoption expands beyond adults. Guidance like this reflects how cybersecurity and education are becoming tightly linked as AI use moves into younger age groups.

What to watch next

  • How AI platforms continue to develop and communicate child safety and parental control features.
  • Adoption of digital literacy practices by families and schools as AI use grows.
  • Ongoing discussion around data privacy and age-appropriate AI access.

Disclosure: The content below is a press release provided by the company/PR representative. It is published for informational purposes.

Born between 2010 and 2025, Gen Alpha aren’t just growing up with technology – they’re actively living it. These digital natives are already wielding smartphones, tablets, and AI-powered tools with the confidence of seasoned users, navigating everything from gaming and social media to online learning platforms with remarkable ease. But the question that concerns parents and security experts is whether we are giving our kids too powerful technology, too soon. On Safer Internet Day, Kaspersky security experts are sharing practical tips to help parents turn AI from a potential threat into a trusted ally for the younger generation.

The first line of defence is building AI awareness

Children already discovered that ChatGPT, DeepSeek and other neural networks can answer questions faster than you can find the right answer in Google, and Alexa can play music without pressing a single button.

So, the only solution is to become children’s AI support. Begin by explaining that these digital assistants aren’t friends, pets, or even real people. They’re sophisticated tools that can be helpful, but also potentially misleading, biased, or simply wrong. Then teach them to cross-check information with multiple sources, just like they’d verify facts in a school project.

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When discussing AI with children, emphasize that they should never fully trust AI answers, especially for sensitive topics like health, mental wellbeing, or safety concerns. Always encourage them to verify information and never share personal details or documents with AI systems.

Enabling safely filters

Most AI platforms and smart devices come with built-in safety features that are often overlooked or misunderstood. Spend some time to check the privacy settings and content filters and, if possible, tailor them to match your family’s values and your child’s maturity level. This is a basic protection against inappropriate content, privacy breaches, and potentially harmful interactions.

However, not all services and platforms provide an opportunity to set up content filters and fully control children’s online activity. To create safer digital environment for your children consider using parental control tools like Kaspersky Safe Kids. It allows parents to not only to hide inappropriate content and prevent specific apps and websites from being opened, but also helps balance children’s time spent online with screen time management.

Checking the AI-powered app’s authenticity

In a world where AI apps are popping up faster than you can say “chatbot,” verifying app authenticity is essential. Only download apps from official stores and inform your children about the importance of not installing anything from unfamiliar sources. Look up the company behind the app and check whether they have a website and legitimate business presence. Teach your kids to limit their apps’ permissions and do not give access to data unless it’s necessary for the apps to work.

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Staying involved and informed

A basic understanding of the range of problems your child is willing to entrust to AI is already significant. By asking simple questions like “What did you ask AI today? Did it give you the right answer?” you’ll be teaching your children to openly discuss with you the use of AI and problems they might face. When they mention using ChatGPT for homework, ask them to show you what they’ve learned. When they talk about their favourite voice assistant, ask about the topics they like to discuss and funny particularities they noted.

When you actively participate in your child’s AI journey, you transform from a concerned parent into a trusted guide. They’ll seek your input because they know you’re interested in their digital experiences, not just trying to control them. But while allowing children some AI freedom, you must always remain vigilant about their online safety and healthy growth,” comments Andrey Sidenko, Cyber Literacy Projects Lead at Kaspersky.

About Kaspersky

Kaspersky is a global cybersecurity and digital privacy company founded in 1997. With over a billion devices protected to date from emerging cyberthreats and targeted attacks, Kaspersky’s deep threat intelligence and security expertise is constantly transforming into innovative solutions and services to protect individuals, businesses, critical infrastructure, and governments around the globe. The company’s comprehensive security portfolio includes leading digital life protection for personal devices, specialized security products and services for companies, as well as Cyber Immune solutions to fight sophisticated and evolving digital threats. We help millions of individuals and nearly 200,000 corporate clients protect what matters most to them. Learn more at www.kaspersky.com

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Uniswap wins CPAMM patent lawsuit against Bancor

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Uniswap wins CPAMM patent lawsuit against Bancor

Uniswap has won a patent infringement lawsuit filed by organizations connected to Bancor, marking a major legal victory for the decentralized exchange and the wider decentralized finance sector.

Summary

  • Uniswap won a patent infringement lawsuit filed by Bancor-linked entities in a U.S. federal court.
  • The case focused on the constant product market maker formula used in decentralized trading.
  • The ruling supports open-source development and limits patent claims over core DeFi tools.

On Feb. 11, Uniswap founder Hayden Adams said on X that his legal team had informed him of the court’s decision in Uniswap’s favor. The case had challenged the technology that powers automated token trading on the platform.

Many people in the crypto world paid close attention to the lawsuit because it brought up a bigger issue. It questioned whether simple trading formulas used in DeFi can actually be protected by patents.

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Lawsuit focused on AMM technology

The legal fight started in May 2025. Bprotocol Foundation and LocalCoin Ltd., both connected to Bancor, filed a lawsuit in a federal court in New York. They claimed that Uniswap Labs and the Uniswap Foundation used a trading method that was covered by a patent granted back in 2017.

The patent covered the constant product automated market maker model, commonly known for the formula x*y=k. This system is used to price tokens in liquidity pools and has become a foundation of many decentralized exchanges.

Bancor argued that Uniswap (UNI) had relied on this patented method since launching in 2018 without permission. The plaintiffs sought financial damages for several years of alleged unauthorized use.

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Uniswap strongly rejected the claims from the start. The company said its code had always been open-source and publicly available. It also argued that the patent attempted to claim ownership over basic mathematical principles applied to blockchain systems.

Several industry groups supported Uniswap’s position. Organizations such as the DeFi Education Fund and the Solana Institute filed statements backing the exchange and warning against using patents to restrict open innovation.

Impact on DeFi and open-source development

According to people familiar with the case, the court found that the allegations did not meet the legal standard required for patent infringement, especially given the open nature of Uniswap’s software.

Legal experts say the ruling sends a strong message to the market. Core financial mechanisms that rely on simple formulas may be difficult to protect through patents when they are openly shared and widely adopted.

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Many developers see this outcome as a strong moment for open finance. It sends a message that the basic tools behind DeFi cannot easily be restricted or put behind paywalls through patents.

Uniswap users and its partners can also breathe a little easier. The uncertainty surrounding the case had raised concerns about possible setbacks. If the court had ruled differently, it might have slowed down new features and partnerships across the wider ecosystem.

So far, there has been no word of an appeal. For now, the matter seems to be settled at the district court stage.

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Tokenized Commodities Blows Past $6B on Gold Adoption

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Tokenized Commodities Blows Past $6B on Gold Adoption

The tokenized commodities market has risen 53% in less than six weeks to over $6.1 billion, making it the fastest-growing vertical in the real-world asset tokenization market as more gold moves onchain.

The tokenized commodities market was valued at just over $4 billion at the start of the year, meaning around $2 billion has been added to the market’s value since Jan. 1, according to data from crypto analytics platform Token Terminal.

Change in market cap for tokenized commodities since 2018. Source: Token Terminal

Data shows the tokenized commodities market is dominated by gold products.

Stablecoin issuer Tether’s gold-backed token, Tether Gold (XAUt), has been the biggest contributor to the rise, with its market cap increasing 51.6% in the past month to $3.6 billion, while the Paxos-listed PAX Gold (PAXG) has increased 33.2% to $2.3 billion over the same timeframe.

The top five largest tokenized commodities by market cap. Source: Token Terminal

Tokenized commodities have now risen 360% year-on-year, with the increase since the start of 2026 outpacing growth in the tokenized stocks and tokenized funds markets at 42% and 3.6%, respectively. 

It also puts the tokenized commodities market at just over one-third the size of the $17.2 billion tokenized funds market. It’s also much larger than tokenized stocks, which are valued at $538 million.

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Tether expanded its tokenized commodities strategy on Thursday by acquiring a $150 million stake in precious metals platform Gold.com, in an effort to broaden access to tokenized gold.