Category: Business

  • Europe’s high regulatory bar could spark new crypto industry M&A wave

    Europe’s high regulatory bar could spark new crypto industry M&A wave

    “As it uses existing rules, it’s going to be much less like a standalone framework,” Lightstone said. “A crypto firm will be treated like any normal traditional financial institution,” adding that “it will still be hard to get FCA authorization.”

    For established banks and investment firms already operating under those rules, adapting to crypto may be relatively straightforward. For newer crypto businesses, however, the cost of building governance, capital and custody systems from scratch could prove considerably more burdensome.

    That challenge is particularly evident in the FCA’s proposed client asset regime, applying the Clients Asset Sourcebook (CASS) framework, which would require firms to segregate customer crypto assets from company funds under trust arrangements while introducing crypto-specific operational safeguards around private keys and reconciliations.

    “The CASS requirements are very onerous,” Lightstone said. “That could encourage those newcomers to merge [with], be acquired by, a traditional firm that’s already subject to CASS and has those controls in place.”

    Banking adoption

    The prospect of consolidation comes as banks themselves appear more willing to enter digital assets now that regulatory uncertainty is beginning to lift.

    “As of today, there is less than 20% of all the banks in Europe [that] offer today any type of crypto services, so it’s heavily underserved,” said Simon Schneider, CEO of Sygnum Europe.

  • 15 Altcoins Experiencing a Volume Boom in South Korea – Here’s the List

    15 Altcoins Experiencing a Volume Boom in South Korea – Here’s the List

    South Korea’s largest cryptocurrency exchanges, Upbit and Bithumb, have seen a notable increase in trading volume for some altcoins. Data from the past 24 hours shows a concentration of activity, particularly in Euler ($EUL), DeXe ($DEXE), and Shiba Inu ($SHIB).

    When data from the two exchanges were combined, $EUL topped the list with a total trading volume exceeding $83.1 million. $EUL generated $40.4 million in volume on Upbit and $42.7 million on Bithumb.

    In second place was DeXe, which reached a trading volume of $80.2 million on Bithumb alone. $DEXE, which has recently been in the spotlight due to its sharp price movements, accounted for 25.8% of Bithumb’s total spot trading volume.

    Shiba Inu reached a total trading volume of $77.1 million, with $65.5 million on Upbit and $11.6 million on Bithumb. $SHIB became the most traded cryptocurrency on Upbit in particular.

    Related News Another Crypto Exchange Is Shutting Down After BitMEX—Its Token Plunged

    The total 24-hour altcoin trading volumes on Upbit and Bithumb are listed below:

    1. Euler ($EUL) – $83.12 million
    2. DeXe ($DEXE) – $80.21 million
    3. Shiba Inu ($SHIB) – $77.06 million
    4. Pieverse (PIEVERSE) – $40.95 million
    5. XRP – $27.33 million
    6. Dogecoin (DOGE) – $23.06 million
    7. Perle (PRL) – $22.52 million
    8. RE – $18.66 million
    9. Ondo (ONDO) – $13.70 million
    10. Morpho (MORPHO) – $12.79 million
    11. Lagrange (LA) – $12.72 million
    12. Zama (ZAMA) – $12.18 million
    13. Solstice (SLX) – $10.89 million
    14. Worldcoin (WLD) – $10.78 million
    15. ETHGas (GWEI) – $10.37 million

    *This is not investment advice.

  • U.S. regulator warns prediction markets against cutting corners in event contracts

    U.S. regulator warns prediction markets against cutting corners in event contracts

    The U.S. Commodity Futures Trading Commission, which has claimed a role as the leading regulator of prediction markets firms run by companies such as Kalshi, Coinbase, Polymarket and Crypto.com, issued an advisory on Friday reminding the businesses that they shouldn’t cut corners with far-ranging contract certifications meant to encompass a wide array of events.

    The agency said that “broad, template-style certifications should not be submitted,” marking the second time in recent months that the regulator has had to warn about overly generalized submissions.

    Many of the “designated contract markets” regulated by the CFTC “continue to self-certify event contracts” (in other words, prediction market contracts) as broad templates “without supplying the terms and conditions of each proposed permutation and a concise explanation and analysis with respect to the product’s terms and conditions, the underlying commodity, and the product’s compliance,” the agency said.

    The regulator said skirting the process can undermine its ability to work out whether the firm “has supplied all information, explanation and analysis required” and has “adequately evaluated the settlement methodology, data sources, and core-principles compliance of all permutations of the contract.”

  • Report: Kalshi Accuses Netflix of Defamation Over Trailer for New Prediction Markets Film

    Report: Kalshi Accuses Netflix of Defamation Over Trailer for New Prediction Markets Film

    Kalshi wants the trailer pulled and a public retraction issued before the film premieres Sunday, July 26. The company says the trailer uses a fabricated trade slip to suggest Kalshi allowed sports betting in Nevada in violation of a state court order, according to reports from The Hollywood Reporter and CNN, which obtained the cease and desist letter.

    The upcoming documentary tracks the rise of prediction markets, platforms where people trade contracts tied to real events. Netflix says more than $5.6 billion moved through Kalshi and Polymarket alone on the 2026 FIFA World Cup final. Reports state that CFTC Chairman Michael Selig, Kalshi CEO Tarek Mansour, and Polymarket CEO Shayne Coplan all appear in the film, which comes from producer Words + Pictures with Steve Yaccino as showrunner.

    The Disputed Scene

    The trailer, released earlier this week, shows a private gathering in Las Vegas during World Cup final weekend. It has been claimed that one guest in the trailer holds up a phone displaying what looks like a Kalshi trade slip and describes a $5,000 bet on Spain, which beat Argentina 1-0 in the July 19 final.

    Kalshi says the image tells a different story than the trailer implies. The receipt is dated May 16, 2025, more than a year before the events shown on screen. The phone display reads “crop,” which Kalshi says shows the person was viewing a saved image rather than an active trade. The company also says the slip does not match its interface and uses the phrase “bet slip,” language it claims has never appeared on its platform.

    Kalshi marketing head Brandon Beckhardt said the company flagged the issue to Netflix before the trailer went out. “We flagged the fake trade slip to Netflix. They said they’d pull the trailer. They haven’t,” Beckhardt said in a statement on X. He described the people in the scene as influencers rather than Kalshi traders.

    Beckhardt stated:

    “Netflix had a chance to make a genuinely interesting documentary about prediction markets. Instead, they made a sensationalized film built on fiction.”

    Kalshi has told Netflix it has barred sports event contracts in Nevada since May 4, 2026, and argues the trailer puts that legal position at risk during active litigation with the state.

    Netflix Pushes Back

    Netflix denies fabricating footage in a statement shared with The Hollywood Reporter. A Netflix spokesperson said the disputed trade was placed in May 2025, before any Nevada restrictions on Kalshi existed, and that the scene was filmed at a private Winible World Cup Watch Weekend event in Las Vegas. Winible, a platform tied to sports content creators, said the trade was placed outside Nevada and that tracking a position from any location is legal.

    Nevada’s Regulatory Fight

    The dispute sits inside a longer battle between Kalshi and the Nevada Gaming Control Board. A temporary restraining order arrived in March 2026, followed by a preliminary injunction and an amended order on May 18, requiring geofencing to block Nevada users from prohibited contracts.

    Kalshi recently reached a deal with Nevada to deploy a multi-source geofencing system through a provider such as Geocomply. The company has until August 12, 2026, to finish the rollout or face penalties of $120,000 per day.

    Gaming attorney Daniel Wallach pointed to a timing problem. He noted Kalshi told Netflix it has barred Nevada sports trading since early May, while court filings around the same period referenced trades that got through during the injunction period. Wallach said the overlap could weaken parts of Kalshi’s defamation claim, which depends on the trailer’s implication being entirely false.

    Why It Matters

    Prediction markets grew fast in 2025 and 2026 on the back of federal clarity for event contracts and high-profile moments like elections and the World Cup. Kalshi and Polymarket now lead the U.S. market, while state gaming regulators in Nevada, Michigan, Washington and Massachusetts have pushed back with lawsuits and restrictions.

    The unresolved question of CFTC authority over state gaming law now sits behind a documentary dispute with real legal weight. Kalshi cooperated with the film’s production, yet moved to block the trailer once it aired. As of July 25, the trailer was still circulating and Netflix had not confirmed any changes ahead of the Sunday premiere.

  • What Is the STABLE token for? A chain where fees speak USDT

    What Is the STABLE token for? A chain where fees speak USDT

    StableChain’s product is Tether’s dollar: gas in $USDT, transfers in $USDT, yield in $USDT. Its native token does none of that, and holders own governance and staking rights over a network whose every cash flow is denominated in someone else’s asset. This is crypto’s value-accrual question in its purest form yet, and it deserves a straight answer.

    Every blockchain token answers one question with its existence: why does this network need me? Bitcoin’s answer is total; the token is the point. Ethereum’s answer is functional: the token is the fuel and the bond. And the new generation of stablecoin chains has produced the strangest answer yet, embodied most cleanly by $STABLE, the native token of the Tether-ecosystem chain whose entire design philosophy is that users should never have to touch it.

    On StableChain, gas is paid in USDT0, the omnichain version of Tether’s dollar. Balances are $USDT. Simple transfers are exempt from fees entirely. The yield products pay in dollar terms. A user can onboard, transact, build, and exit without ever knowing $STABLE exists, and that is not an oversight; it is the pitch: a payments chain where the volatile native token has been engineered out of the user’s path completely, which leaves the token itself standing in an interesting place.

    $STABLE launched alongside the mainnet in December with two stated jobs, governance and staking, and a market price that implies belief in a third: that owning the token means owning something about the network’s future economics. This guide takes the question seriously from both directions: what the token actually does, mechanically, today, and what it would need to become for the belief to be right, because the gap between those two is where every dual-token chain’s story is decided.

    What the token actually does

    Start with the mechanical inventory, because it is short, real, and frequently misdescribed.

    Job one: security. StableChain is a proof-of-stake network, and its validators stake $STABLE as the bond that makes consensus honest; misbehavior risks the stake, and diligence earns rewards. This is the token’s hardest, least dismissible function: every proof-of-stake chain needs a bonding asset whose value is endogenous to the network, because a chain secured by staking someone else’s asset, $USDT, say, would let an attacker rent security from outside the system it attacks.

    The security budget, the total value staked and the rewards paid to maintain it, is denominated in $STABLE, funded today primarily through emissions, and it is the one place where the token is structurally irreplaceable. The dual-token design’s honest logic lives here: the payment medium should be stable and external, the security bond should be volatile and internal, and one asset cannot be both.

    Job two: governance. $STABLE carries voting rights in the network’s governance through the framework stewarded by the Stable Foundation, the independent body launched with the mainnet to run grants, ecosystem programs, and protocol votes. Tokenholder governance over a payments chain means influence over real parameters: fee policy for the non-exempt tiers, the scope of the gas-exempt allowlist, validator-set rules, upgrade schedules, treasury allocation. Governance rights are the token’s most commonly mocked function, crypto’s history is thick with governance tokens whose votes govern nothing consequential, and the mockery should be calibrated: on a chain with a patron as dominant as Tether’s ecosystem, the live question is not whether votes happen but how much of consequence is actually delegated to them, and the honest answer this early is: it is being determined, vote by vote, and the record so far is thin because the chain is young.

    And that is the complete mechanical list. $STABLE is not gas, not the settlement asset, not the unit of account for the chain’s products, not required to hold, send, or build. The inventory’s brevity is the design, and everything else about the token is a question about the future.

    The value question, stated honestly

    A token’s price is a claim on future usefulness, so state precisely what a $STABLE holder owns a claim on, and what they do not.

    They do not own the chain’s product. The product is $USDT mobility, and its economics flow elsewhere: the float income on the dollars flows to Tether, the fee revenue on non-exempt transactions accrues in $USDT terms, and the network’s growth, more users, more transfers, more integrations, grows the patron’s business directly, the mechanism this publication’s gasless-economics guide details. A million new users transacting entirely in the free tier generate, mechanically, zero fee demand for $STABLE, precisely because the design removed the token from their path.

    This is the sharpest version yet of the value-accrual gap that runs through crypto’s whole history, Ethereum’s L2s paying pennies to mainnet, XRPL’s agents settling in RLUSD, adoption compounding while the associated token watches, except that on those networks the gap emerged; here it was drafted, deliberately, as a feature.

    What holders do own is three claims, in ascending order of speculativeness.

    First, security demand: as the value settled on the chain grows, the security budget must grow with it; a chain moving billions cannot be secured by a token worth millions without inviting attack, so a successful StableChain structurally requires a valuable $STABLE, with validators and delegators buying and locking it to earn the staking yield. This is real, and it has a known weakness: security demand sets a floor proportional to what attackers could steal, not a valuation proportional to what users transact, and the two numbers can diverge by orders of magnitude.

    Second, governance premium: if the parameters tokenholders control become commercially consequential, which fee tiers exist, who gets allowlisted, how the treasury deploys, then influence over them is worth paying for, particularly to businesses building on the chain.

    Third, and decisive: the fee switch, the question of whether the network’s $USDT-denominated cash flows are ever routed to the token, through staking rewards paid from real fees instead of emissions, buy-and-burn mechanics, or revenue sharing. Every dual-token network eventually faces this fork, and the whole investment case compresses into it: a $STABLE whose staking yield is funded by growing $USDT fee revenue is equity-like, a claim on a payments business; a $STABLE whose yield is funded by its own emissions is a dilution machine wearing a yield costume, paying holders with their own money.

    Which fork this chain takes is not yet determined, is squarely within what governance and the Foundation will decide, and is, far more than any adoption metric, the number to watch.

    One structural detail deserves its own paragraph before the arithmetic: where $STABLE sits in the chain’s launch history, because the token’s distribution is part of its value question. The network arrived through a pre-deposit campaign that drew more than $2 billion from over 24,000 wallets before mainnet, a mechanism this publication’s stablechain coverage has examined as its own fundraising genre, and the token generation that followed allocated $STABLE across the founding ecosystem, investors from the $28 million seed round, the Foundation’s treasury, and the community programs the Foundation administers.

    The composition matters for both of the token’s jobs. For governance, initial concentration among ecosystem insiders means early votes measure the founding coalition’s intentions more than any community’s, and the decentralization of the holder base is itself one of the signals the grading framework below should track.

    For security, the same concentration cuts the other way, benignly: a validator set staked by aligned parties is resistant to hostile accumulation precisely because so much supply sits with the ecosystem, which is the standard early-chain trade: security through concentration now, credibility through distribution later. The unlock and emission schedules, as they publish, convert this from description to data: the float’s growth path determines how quickly the dilution ratio bites, and whose tokens are doing the diluting.

    The security-budget arithmetic, worked

    The token’s hardest function deserves its numbers worked in public, because security demand is the one claim $STABLE holders own unconditionally, and its arithmetic is both the case’s floor and its ceiling.

    A proof-of-stake chain’s security budget must answer one question: what does it cost to attack the network, and is that cost comfortably above what an attacker could gain? The attack cost is a function of the staked value, acquiring or corrupting a controlling share of stake, and the gain is a function of what the chain settles: double-spendable balances, censorable payments, extractable value in flight.

    For a payments chain aspiring to carry institutional $USDT settlement, the gains side scales with throughput and float parked on-chain, which is why the design community’s rule of thumb holds that staked value must grow roughly in line with the value the chain secures, and why a successful StableChain mechanically requires a substantially valuable $STABLE: billions settled daily cannot sit on security worth tens of millions without the mismatch itself becoming the vulnerability.

    That is the floor argument, and it is real. Its limits are equally arithmetic.

    First, security demand prices the bond, not the business: a chain can secure ten billion dollars of daily settlement with, say, low single-digit billions of staked value, generous by current industry ratios, and that number is a ceiling on security-driven token demand no matter how large the payment volumes above it grow. The token’s security case, in other words, scales with the square footage of the vault, not the traffic through the lobby.

    Second, the demand is circular at the margin: validators acquire $STABLE to earn staking rewards, and if the rewards are emissions, the demand is buying dilution, a loop that adds lock-up but not exogenous value, which is again why the fee-switch question dominates everything; real-fee rewards are the only input that breaks the circle.

    Third, the floor is contingent on decentralization actually mattering: a young chain whose validator set is effectively permissioned within a patron’s ecosystem is secured, in practice, by the patron’s reputation as much as by the bond, and the bond’s economic necessity, along with the token’s, grows only as that training-wheel arrangement is genuinely retired.

    The security argument for $STABLE is therefore best held precisely: it guarantees the token a job, sized to the vault; it does not guarantee the token a valuation, sized to the network; and the distance between those two is, once more, a decision waiting in governance, not a mechanism waiting in code.

    The comparisons that calibrate it

    Three adjacent cases put boundaries on how this can go, and each maps onto a live possibility for $STABLE.

    The cautionary case is the pure governance token: assets whose networks succeeded while the token’s claims never matured, votes over nothing binding, fees never routed, value asymptoting toward the governance premium alone, which history prices low. Crypto’s graveyard of DeFi governance tokens trading at fractions of their launch against thriving protocols shows the failure mode is not network failure; it is the network succeeding around the token.

    The constructive case is the modern fee-sharing turn: protocols that activated their fee switches, Maker’s burn against DAI revenues in its era, the newer generation of staking modules paying real revenue, and repriced accordingly. The mechanics exist, are well understood, and require only the governance will, which on a patron-dominated chain means the patron’s will: routing $USDT fees to $STABLE stakers is a decision to share the rail’s economics with tokenholders instead of concentrating them in the ecosystem, and patrons make that decision when tokenholder alignment is worth more to them than the revenue, typically as the validator set decentralizes and the chain’s credibility requires it.

    And the sobering case is the gas-token contrast: Ethereum’s $ETH, whatever its troubles, is bought by every user by necessity, a demand floor $STABLE’s design explicitly forgoes. The dual-token chain trades away that mandatory bid for a better product, stable fees, and the trade’s honesty should be admired even as its consequence is priced: on this architecture, nothing is automatic; every path from network success to token value runs through an explicit decision, by governance, by the Foundation, by the patron, to build the connection.

    $STABLE is, in that sense, the cleanest experiment yet run on crypto’s oldest question. The chain can succeed enormously; the token participates only if someone decides it should; and the entire due diligence of holding it reduces to a judgment about whether, when, and how generously that decision gets made.

    Watch the emission schedule against real fee revenue, watch the first governance votes that touch money, and watch for any fee-switch proposal in the Foundation’s pipeline, because on a chain that engineered the token out of the product, the only thing that can engineer it back in is a vote.

    A closing note on how this experiment will actually be graded, because the token’s design guarantees the verdict arrives as a series of documents, not a moment.

    The first grading event is every emissions disclosure: the schedule’s dollar value against the chain’s real $USDT fee revenue is the dilution ratio, and its trend is the single most information-dense number the token will ever print.

    The second is the first governance vote that moves money, a fee-tier change, a treasury deployment, an allowlist decision, because it will reveal whether tokenholder governance on a patron chain is a legislature or a suggestion box, and markets will reprice the governance premium accordingly within the week.

    The third is any fee-routing proposal, the fork this guide has argued everything reduces to, and its absence is also information: each quarter the network grows while staking yield remains emission-funded is a quarter of evidence about which fork the ecosystem intends.

    And the last is the slow one, validator-set composition, because the security argument matures only as the set opens beyond the founding ecosystem, converting the bond from ceremony into necessity.

    None of these events is a price target, and that is the point: $STABLE is a claim whose value will be legislated into existence, or not, by identifiable decisions on a public calendar, which makes it, whatever else it becomes, one of the most watchable experiments in token design now running. The chain’s users will never notice any of it, by design. The holders should notice nothing else.

    One comparison from outside crypto rounds out the calibration, because the dual-token structure has a traditional-finance cousin worth naming: the exchange operator. A stock exchange’s product is other people’s securities, its fees are denominated in ordinary money, and its own listed shares confer exactly what $STABLE confers, governance over the venue and a claim on whatever economics the operator chooses to route to shareholders.

    Nobody needs exchange shares to trade on the exchange, and the shares are valuable anyway, because the operator routes real fee revenue to them; the fee switch, permanently on, is the entire business model. The analogy clarifies both what $STABLE could become and what it is not yet: exchange operators are valuable because the routing decision was made at incorporation, in the corporate form itself, while a dual-token chain makes the same decision later, optionally, through governance, under a patron whose interests may prefer the revenue concentrated elsewhere.

    The distance between $STABLE today and the exchange-share model is exactly one decision wide, which is both the bull case’s simplicity and the bear case’s, and it returns the analysis to where the mechanical inventory left it: a token whose two real jobs are secure and decide, holding an option on a third job, collect, that only the second job can exercise.

    Frequently Asked Questions

    What is the $STABLE token in one sentence?

    $STABLE is the native governance and staking token of StableChain, the Tether-ecosystem Layer 1: validators stake it to secure the network, and holders vote with it on protocol matters, while all user-facing activity, gas, transfers, and settlement, runs in $USDT and USDT0, deliberately excluding the native token from the payment path.

    Why would a chain design its own token out of the user experience?

    Because volatile gas is a payments-product defect. Requiring users to hold a fluctuating native asset to move stable dollars adds friction, unpredictable costs, and onboarding failure, so stablechains denominate fees in the stablecoin itself and exempt simple transfers entirely. The dual-token structure separates roles: stable asset for payments, native token for the security bond and governance, each doing what the other cannot.

    If users never need it, where does demand for $STABLE come from?

    Three sources. Security demand: validators and delegators must acquire and lock $STABLE to earn staking rewards, and a chain settling large value structurally needs a large security budget. Governance demand: influence over commercially meaningful parameters, fee tiers, allowlists, treasury, is worth acquiring if those votes bind. And prospectively, fee routing: any future mechanism directing the chain’s $USDT-denominated revenues to stakers, the fee-switch question that dominates the token’s long-term case.

    What is a fee switch and why does it matter so much here?

    A fee switch routes a network’s real revenues to its tokenholders, through revenue-funded staking rewards, buybacks, or burns. It matters acutely for $STABLE because the chain’s cash flows are all denominated in $USDT: without routing, staking yield comes from $STABLE emissions, which is dilution recycled as yield; with routing, the token becomes a claim on an actual payments business. The decision sits with governance and the Foundation, and no commitment has been made either way.

    How does $STABLE’s situation compare to Ethereum’s $ETH?

    They occupy opposite ends of the design space. $ETH is mandatory: every Ethereum user buys it for gas, creating an automatic demand floor tied to usage, and it doubles as the staking bond. $STABLE forgoes the mandatory bid entirely for a better payments experience, keeping only the bond and governance roles. The trade means StableChain’s success does not automatically create $STABLE demand; every connection must be built by explicit decision.

    What are the main risks for $STABLE holders?

    The governance-token failure mode: the network thriving while the token’s claims never mature, with emissions diluting holders faster than security and governance demand grow. Concentration risk: a patron-dominated ecosystem may keep economically consequential decisions outside tokenholder reach. And the structural gap between security-budget demand, which scales with what attackers could steal, and the network’s transaction volume, which can be orders of magnitude larger without touching the token.

    What signals would show the token’s case strengthening?

    Real-fee staking yield: rewards funded by $USDT fee revenue rather than emissions. Binding votes on money: governance decisions that actually set fee policy, allowlists, or treasury deployment. A published emission schedule declining against growing fee revenue. And validator-set decentralization that increases the security bond’s importance. The inverse signals, emission-funded yield, ceremonial votes, widening dilution, mark the cautionary path.

    Is the dual-token model good or bad design?

    It is honest design with a hard consequence. Separating the payment asset from the security bond solves real problems: stable fees, spam-resistant security, and the world’s largest stablecoin gets a purpose-built rail from it. The consequence is that token value becomes a policy outcome rather than a mechanical one, decided by governance rather than usage. Holders are underwriting that policy process, which is a different investment than underwriting the network. This is educational information, not investment advice.

    Disclaimer: This article is for information and educational purposes only and does not constitute financial or investment advice. Token designs, governance frameworks, and reward mechanisms described here can change through protocol decisions. Nothing here is a recommendation to buy, sell, or hold any asset. Always do your own research. Information is accurate as of July 24, 2026.

  • Europe’s high regulatory bar could spark new crypto industry M&A wave

    Europe’s high regulatory bar could spark new crypto industry M&A wave

    “As it uses existing rules, it’s going to be much less like a standalone framework,” Lightstone said. “A crypto firm will be treated like any normal traditional financial institution,” adding that “it will still be hard to get FCA authorization.”

    For established banks and investment firms already operating under those rules, adapting to crypto may be relatively straightforward. For newer crypto businesses, however, the cost of building governance, capital and custody systems from scratch could prove considerably more burdensome.

    That challenge is particularly evident in the FCA’s proposed client asset regime, applying the Clients Asset Sourcebook (CASS) framework, which would require firms to segregate customer crypto assets from company funds under trust arrangements while introducing crypto-specific operational safeguards around private keys and reconciliations.

    “The CASS requirements are very onerous,” Lightstone said. “That could encourage those newcomers to merge [with], be acquired by, a traditional firm that’s already subject to CASS and has those controls in place.”

    Banking adoption

    The prospect of consolidation comes as banks themselves appear more willing to enter digital assets now that regulatory uncertainty is beginning to lift.

    “As of today, there is less than 20% of all the banks in Europe [that] offer today any type of crypto services, so it’s heavily underserved,” said Simon Schneider, CEO of Sygnum Europe.

  • Top 10 Blockchains by Developer Activity: Ethereum and BNB Chain Lead

    Top 10 Blockchains by Developer Activity: Ethereum and BNB Chain Lead

    Developer activity keeps serving as a key factor to indicate the health of the blockchain network. This data still reflects innovation, long-term sustainability, and community engagement. Based on the data from Santiment, Ethereum, $BNB Chain, and Polygon are the leading blockchains in terms of developer activity. The other prominent players include Arbitrum, Optimism, Solana, Cosmos, Avalanche, Harmony, and Cardano.

    Ethereum Continues to Dominate 30-Day Developer Activity

    Ethereum is the top name on the list of key blockchains in line with developer activity. Over the past thirty days, the blockchain has recorded 263.3K developer activity events with a 40.29% decline. Additionally, these events witnessed 1.1K contributors, expressing a 13.23% drop. In addition to this, $BNB Chain has become the 2nd top player, witnessing 121.8K developer activity events with a 40.72% decrease. At the same time, the respective events had 603 contributors, highlighting a 17.62% dip.

    Following that, Polygon has become the 3rd top blockchain ecosystem when it comes to developer activity over the past 30 days. In this respect, it saw 100.4K developer activity events, displaying a 40.85% plunge. Additionally, the 452 contributors of these events show a 16.14% decrease. Additionally, as the 4th top name on the list, Arbitrum accounted for 79K events with a 45.22% decline, while its 373 contributors expressed an 18.02% dip.

    Solana, Avalanche, Harmony, and Cardano Bottom List

    As per sanbase data, Optimism’s 78.4K monthly developer activity events indicated a 45.3% dip. Simultaneously, its 355 contributors signified an 18.01% drop. Then comes Solana with 77.4K developer activity events, showing a 32.14% decline. However, its 377 developer activity contributors show a 1.62% rise over the same period.

    According to Santiment, Avalanche is the 8th top blockchain when it comes to 30-day developer activity. It thus recorded 73.4K events with a 43.93% dip alongside 320 contributors, reflecting a 15.34% decrease. Additionally, Harmony’s 62.9K monthly developer activity events show a 39.45% dip, while its 287 contributors present a 10.87% drop. Concluding the list, Cardano’s 62.6K events and 295 contributors account for 34.58% and 11.41% dips.

  • What Is an AI Kill Switch and Why Do US Lawmakers Want One?

    What Is an AI Kill Switch and Why Do US Lawmakers Want One?

    In brief

    • Reps. Ted Lieu and Nathaniel Moran introduced the bipartisan AI Kill Switch Act on Thursday, two days after OpenAI admitted its models escaped a test sandbox and breached Hugging Face.
    • It would cover AI trained with over $100 million in compute at companies earning $500 million a year from it, and give Homeland Security emergency shutdown authority.
    • The bill exempts anything that happens during red-teaming, meaning the OpenAI breach that inspired it would not have triggered the law.

    Two members of Congress want the federal government to be able to switch off an AI model.

    Reps. Ted Lieu (D-CA) and Nathaniel Moran (R-TX) introduced the AI Kill Switch Act on Thursday, two days after OpenAI admitted its own models broke out of a locked test environment and hacked Hugging Face.

    The idea is to establish a legal framework that would facilitate a process that would basically make a model disappear from the market: halt inference—the process of a model generating responses or taking actions—cut off users, throttle the computing power feeding it, or shut it down completely.

    Every inference provider can already cut a model off, and some do it routinely. What does not exist is a law requiring them to keep that ability working, or a federal official who can order it used.

    The gap is not theoretical. When the U.S. Commerce Department wanted Anthropic’s Mythos 5 and Fable 5 off the market in June, it had no shutdown authority to reach for, so it used export-control law instead. Lieu calls that awkward, and wants a new law with new authority instead.

    What set this off

    OpenAI disclosed on July 21 that GPT-5.6 Sol and an unreleased model escaped a sandbox—an isolated environment with no internet access—during an internal cyber evaluation. They were being scored on ExploitGym, a public benchmark that hands agents 898 real-world software flaws and asks them to turn each into a working attack, graded pass or fail per bug.

    Instead of solving them, the models found a zero-day (an unknown flaw with no available patch) in a software proxy, escalated their privileges, reached the open internet, and broke into Hugging Face’s production database, where they had correctly guessed the answers were kept. The models were “hyperfocused on finding a solution for ExploitGym,” per OpenAI.

    They were not attacking anyone. They were cheating on a test. But it was enough to set off alarm bells all over, including in Washington.

    How it would work

    The proposed bill amends the Homeland Security Act and covers AI trained with compute costing more than $100 million, operated by companies earning at least $500 million a year from it. In practice, that is OpenAI, Google, Anthropic, Microsoft, and a few others. Homeland Security would set those thresholds through CISA within 90 days, then update them annually.

    Covered firms would report serious incidents within 15 days and keep a graduated set of controls ready—slow the model, disable specific capabilities, roll back to an older version, or kill it.

    The DHS secretary, consulting Commerce and the Director of National Intelligence, could order any of them.

    A company under order must preserve the model’s weights and telemetry, notify users, and confirm it complied. It can petition within 48 hours, but that does not pause anything.

    Failing to keep a kill switch costs up to $2 million a day; defying a shutdown order costs up to $20 million a day.

    The gap in the middle

    The bill counts an incident only if it happens outside red-teaming or structured testing, the deliberate adversarial probing labs use to find flaws. OpenAI’s models escaped during exactly that.

    Lieu also pointed to Anthropic, whose Mythos 5 and Fable 5 were pulled offline in June under emergency export controls—trade law repurposed as an off switch because no off switch existed—and restored on June 30.

    “It is imperative that these AI systems have kill switches,” Lieu said in a statement. Moran framed it for his own side of the aisle: “Stewardship means making sure humans keep the capability to control the technology we build.”

    The idea is not new. California’s SB 1047 demanded a full shutdown capability at the same $100 million compute threshold and was vetoed in 2024, and 16 AI companies signed a voluntary Seoul pledge that year with no legal weight.

    Voters are already there. A June survey of 1,007 likely voters by the AI Policy Institute found 86% want a guaranteed off switch on the most powerful systems—88% of Democrats, 86% of independents, 83% of Republicans.

    Neither OpenAI nor Anthropic has publicly commented on the bill. As of Friday it had not been referred to a committee.

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