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Morpho Launches Fixed-Rate Lending Protocol on Base

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Morpho Launches Fixed-Rate Lending Protocol on Base

Lending protocol Morpho has launched Morpho Midnight on Base, adding fixed-rate, fixed-term loans to its onchain credit network alongside the variable-rate markets offered through Morpho Blue. 

In an announcement sent to Cointelegraph, Morpho said the offer-driven protocol lets lenders and borrowers propose their own interest rates, maturities and other loan terms instead of relying on a protocol-defined utilization curve. Loans are issued as fixed obligations, with terms set through competing offers rather than algorithmic pool pricing. 

Predictable rates and defined maturities are standard features of traditional credit markets. However, they remain uncommon in decentralized finance (DeFi), where borrowing costs generally fluctuate based on market utilization. Fixed terms could make onchain lending more attractive to institutions and businesses that need to manage funding costs, returns and risk exposure in advance. 

A Morpho spokesperson told Cointelegraph that Midnight is live on the Base mainnet, initially supporting cbBTC and USDC across multiple maturity dates. The spokesperson said Morpho deliberately kept the launch contained as part of a progressive rollout that prioritizes security.

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The spokesperson said crypto-native lenders, borrowers and curators already active on Morpho Blue had shown interest in Midnight. Several unidentified enterprises and institutions are also building products on the protocol in beta, with announcements expected as those products go live.

Morpho’s fixed-rate lending plans take shape

Morpho first outlined the fixed-rate system in 2025 under a broader “Morpho V2” roadmap. It described an intent-based, peer-to-peer marketplace where users could submit custom offers, price loans through market demand and keep capital earning variable yield until a fixed-rate offer was matched. 

In April, Morpho named the fixed-rate protocol Midnight and clarified that it was not a replacement for Morpho Blue. While Blue provides open-ended, variable-rate lending pools, Midnight externalizes loan risk, interest rate and duration to market participants. 

The protocol then released Midnight’s whitepaper and codebase in May, saying that its “offered capital” model was intended to avoid a recurring problem for fixed-rate DeFi protocols: liquidity being locked or fragmentation across maturity dates.

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Related: Grayscale plans regular cash payouts from ETH, SOL staking rewards

Midnight’s launch follows Morpho’s $175 million funding round in June, led by Paradigm, Andreessen Horowitz’s a16z crypto and Ribbit Capital. At the time, Morpho said it planned to expand integrations with banks, asset managers and large platforms while adding features associated with traditional credit markets. 

Morpho’s infrastructure already underpins variable-rate lending products distributed through major crypto platforms. In April, Coinbase launched Morpho-powered USDC loans for United Kingdom users, allowing them to borrow against Bitcoin (BTC), Ether (ETH) and cbETH on Base. 

The loans carried variable rates and no fixed repayment schedule, illustrating the open-ended borrowing model that Midnight intends to complement. 

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Strategy Sells $467M in MSTR Shares, Bitcoin Stack Steady

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Strategy Sells $467M in MSTR Shares, Bitcoin Stack Steady


Strategy sold $466.7 million worth of MSTR common stock between July 6 and July 12, 2026, lifting its USD reserve to $3 billion while leaving its bitcoin holdings unchanged at 843,775 BTC, according to a Form 8-K the company filed with the SEC on July 13. The company sold roughly 4.82 million… Read the full story at The Defiant

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S&P and Pantera launch crypto index led by ETH, BNB and SOL

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Keyrock deepens crypto derivatives push with BlockFills deal

S&P Dow Jones Indices and Pantera Capital have launched the S&P Pantera Digital Asset Index, a new benchmark that selects digital assets using revenue, market size and liquidity measures. 

Summary

  • S&P and Pantera launched an 18-token index focused on revenue-generating digital assets for institutional investors.
  • ETH, BNB, SOL, TRX and HYPE rank as the index’s five largest confirmed current holdings.
  • The benchmark screens tokens by revenue, liquidity and market size before applying capped market-cap weightings.

The firms announced the product on July 21, while S&P index materials list July 20 as its official launch date. The index currently holds 18 digital assets and targets institutional investors seeking a structured way to track a broader part of the crypto market, according to the official announcement.

The five largest constituents are Ether (ETH), BNB, Solana (SOL), TRON (TRX) and Hyperliquid (HYPE), according to S&P Dow Jones Indices. The selection gives the benchmark a different profile from crypto products that concentrate heavily on Bitcoin or rank assets mainly by market capitalization. S&P says the index focuses on protocols that show recurring economic activity through protocol-level revenue.

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Revenue rules shape the S&P Pantera Digital Asset Index

The index starts with assets from the S&P Cryptocurrency Broad Digital Asset Index and then applies several eligibility tests. New constituents must have a market capitalization above $500 million and meet a liquidity ratio above 0.5. Existing constituents receive a lower $250 million market-cap threshold. The screening process then narrows the eligible universe to assets that meet the benchmark’s economic activity requirements.

After the initial screening, the index ranks eligible assets by revenue generated over the previous two quarters. It adds assets until the selected group represents 99% of the eligible universe’s total revenue. S&P uses data from Artemis to measure protocol-level revenue. The index then weights constituents by adjusted market capitalization, while limiting the largest holding to 35% and every other holding to 20% at each rebalance.

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Cathy Clay, CEO of S&P Dow Jones Indices, said the company built the benchmark around “using a fundamentals-driven, economics-based framework built for diversified portfolios.” The structure allows the index to serve as a benchmark for active strategies and as a possible base for future index-linked investment products. S&P also states that protocol revenue acts as a rules-based measure of economic activity rather than a forecast of future investor returns.

ETH, BNB and SOL lead the 18-token basket

The current top holdings show how the revenue screen changes the composition of a broad crypto benchmark. Ether sits among the largest constituents alongside BNB and SOL, while TRX and HYPE complete the top five. The basket therefore includes smart-contract platforms and trading infrastructure that generate measurable activity across their networks.

The approach also places less weight on token popularity alone. Dan Morehead, Pantera Capital’s founder and managing partner, said “the biggest friction point in crypto hasn’t changed; it’s knowing how to allocate.” Pantera contributed digital-asset research and governance experience to the project, while S&P supplied its index design and administration framework.

The launch follows other moves by S&P Dow Jones Indices to expand its digital-asset products. As previously reported by crypto.news, S&P announced plans for the S&P Digital Markets 50 Index in 2025, combining 15 cryptocurrencies with 35 crypto-linked public companies. That product takes a wider ecosystem approach, while the new Pantera index narrows its selection around recurring protocol revenue and economic activity.

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Institutional crypto benchmarks continue to expand

Other financial market operators have also introduced basket-based crypto products for professional investors. As crypto.news reported in June, CME Group launched Nasdaq CME Crypto Index futures tied to eight major digital assets. The cash-settled contract gives investors a regulated way to gain or hedge exposure to several cryptocurrencies without holding each underlying token directly.

Meanwhile, S&P has continued work that connects established benchmarks with blockchain infrastructure. As crypto.news reported in April, S&P Dow Jones Indices and Kaiko announced plans to bring the iBoxx U.S. Treasury index onto the Canton Network. The project aims to support index-linked products through on-chain index data, licensing terms and access controls.

The S&P Pantera Digital Asset Index adds another model to this growing set of benchmark products. Rather than building the basket around market capitalization alone, it uses revenue and liquidity screens before assigning capped market-cap weights. Its 18-token composition and current top holdings place ETH, BNB, SOL, TRX and HYPE at the center of the benchmark at launch.

S&P says the index can act as a reference point for active managers and potential index-linked products. However, investors cannot invest directly in an index, and third parties would separately issue any investment products based on the benchmark. The index’s composition can also change at future rebalances as assets meet or fall outside its selection rules.

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Prediction Markets and Casinos Are Both Betting Big on Washington

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Kalshi and the American Gaming Association’s Lobbying Efforts

Kalshi spent $990,000 on federal lobbying in the first half of 2026, nearly matching its total for all of last year, as it races to counter the casino industry on Capitol Hill.

The prediction market operator and its gambling-sector rivals are both sharply raising spending. Kalshi’s direct lobbying alone nearly matches the American Gaming Association’s, signaling how hard each side is working to win over lawmakers.

The Prediction Market vs Gambling Lobbying Fight

Kalshi’s $990,000 closes in on the $1 million it spent across all of 2025. Including outside firms, its total nears $1.8 million, a record six-month figure disclosed in federal filings this week.

The company deploys seven lobbying firms, including its in-house team. It has hired former Biden and Obama administration officials to widen its reach. Kalshi also counts Donald Trump Jr. as a paid advisor.

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Polymarket keeps a lighter presence. A single firm spent $180,000 on its behalf, pacing toward the $360,000 spent last year.

Kalshi and the American Gaming Association’s Lobbying Efforts
Kalshi and the American Gaming Association’s Lobbying Efforts. Source: CNBC

The gambling side is spending more, too. The American Gaming Association has committed $1.39 million in 2026, up 30% from the same period last year. The Cherokee Nation, which holds gaming interests, has spent $600,000.

Patrick McHenry, a former Republican congressman who now advises the Coalition for Prediction Markets, said the casino lobby has a structural head start.

“So much of the existing infrastructure of engagement on the Hill and at the states has been by the casino industry. The prediction markets are a new entrant into the policy debate in Washington, and are making great strides at communicating with lawmakers,” he said.

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Why the Two Sides Are Clashing

At the center of the tension is the rise of prediction markets and their growing pull on retail users. As these venues gain popularity, they are drawing bettors away from traditional sportsbooks.

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That shift explains the gambling sector’s resistance. Operators view sports-event contracts as direct competition that bypasses state and tribal gaming rules.

The tension escalated in June, when the gambling industry pressed the Senate to ban sports contracts in the crypto market structure bill.

Prediction markets have also faced concerns about insider trading. Recent incidents highlight the scale of the problem. 

That activity has renewed scrutiny from lawmakers, many of whom have introduced bills to curb the practice. The platforms themselves have moved to counter the growing concern.

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Coinbase CEO Says Base's Content Coins 'Didn't Work'

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Coinbase CEO Says Base's Content Coins 'Didn't Work'


Coinbase Chief Executive Brian Armstrong said Base's yearlong push into creator "content coins" failed, telling a critic on X Monday that the Coinbase-incubated network "pivoted early this year" away from the strategy. "They didn't work and we pivoted early this year. We messed up, time to turn the… Read the full story at The Defiant

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Tesla Earnings Today: What to Expect as Investors Eye Profit Margins Over Deliveries

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Despite some good results and deliveries, Tesla stock is down over 17% year to date. Image Source: Trading View

Tesla (TSLA) reports second-quarter earnings today after US markets close. Investors already know how many cars it sold, so the real test is profit.

Wall Street expects a sharp jump in earnings per share from last quarter. Most of Tesla’s good news already came out weeks ago, though.

What Wall Street Expects

Analyst estimates cluster between $0.50 and $0.55 per share. That marks a solid jump from the $0.41 Tesla earned in the first quarter.

Revenue forecasts range from about $25.7 billion to $27.6 billion. That is up from $22.39 billion in the prior quarter.

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Despite some good results and deliveries, Tesla stock is down over 17% year to date. Image Source: Trading View
Despite some good results and deliveries, Tesla stock is down over 17% year to date. Image Source: Trading View

Tesla’s earnings record has been uneven, though, it has missed some estimates in six of its last 10 quarters, according to Zacks Investment Research. Still, it beat those estimates by double digits over the last two quarters, with an average surprise of 5.48% over the last four.

Why the Delivery Numbers Won’t Move Much

Tesla already told investors it delivered 480,126 vehicles in the second quarter. That is a 25% jump from a year earlier and well above the roughly 406,000 vehicles analysts expected.

Energy storage deployments rose more than 40% from last year too. Because these figures came out weeks ago, much of that good news likely already sits in Tesla’s share price.

What Could Actually Swing the Stock

The number investors will watch closest is Tesla’s automotive profit margin, excluding regulatory credits. Tesla earns these credits by beating emissions rules, then sells them to automakers that fall short.

Estimates point to a possible dip to around 18.1%, down from 19.2% in the first quarter. Discounts and cheap financing offers could explain the drop.

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Investors will also listen for updates on three things: Tesla’s Cybercab robotaxi rollout, its Full Self-Driving software, and AI infrastructure spending. Analysts frame the stakes directly.

Tesla’s stronger automotive performance should improve near-term earnings and help finance its artificial intelligence investments, but Robotaxi, Full Self-Driving and Optimus remain the main drivers of the stock’s valuation, this according to analysts at Morgan Stanley and Barclays.

Tesla’s first-quarter earnings beat came alongside a $2 billion investment in Elon Musk’s SpaceX, a company that has seen a sharp share price slide of its own this year. The report also lands in the middle of a broader corporate earnings season, following strong results from major banks earlier this month.

The Bottom Line

Options markets are pricing a swing of roughly 6% to 8% in either direction once Tesla reports. A margin beat paired with a firm robotaxi timeline could support the stock. A vague update on autonomy, even with strong headline numbers, may not be enough to change the story.

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Hut 8 Stock Surges Up to 200% in 2026 as Bitcoin Mining Unit Struggles

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Hut 8 has seen much more success since its pivot to providing for AI.

Hut 8 Corp. (HUT) shares have swung between $44 and $133 in 2026, a peak-to-trough gain of about 200%, according to TradingView data.

The stock now trades near $108, up about 128% for the year, after Hut 8 signed a $9.8 billion, 15-year lease with an unnamed technology hyperscaler.

The AI Pivot

Speaking to CNBC, CEO Asher Genoot said the was proof that Hut 8’s pivot from Bitcoin mining to artificial intelligence (AI) infrastructure is paying off for shareholders.

The new lease adds 704 megawatts of capacity to Beacon Point, Hut 8’s AI data center campus in Texas, and carries an implied $653 million in annual revenue. Genoot said Hut 8 had zero contracted AI revenue about a year ago.

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He now counts roughly $27 billion in contracted AI revenue and about $1.75 billion in annualized earnings before interest, taxes, depreciation, and amortization (EBITDA).

What Happened to the Bitcoin Mining Business

Hut 8 was firstly known as a Bitcoin mining business, but the company technically no longer runs Bitcoin mining directly. In March 2025, it moved the business into American Bitcoin Corp. (ABTC), a separately traded subsidiary that Hut 8 majority owns and that Eric Trump and Donald Trump Jr. partly back.

Hut 8 has seen much more success since its pivot to providing for AI.
Hut 8 has seen much more success since its pivot to providing for AI. Image Source: Trading View

Unlike Hut 8’s own AI pivot, ABTC has doubled down on mining, expanding its fleet capacity and its Bitcoin (BTC) reserve through 2026.

That bet has not paid off for ABTC’s backers. Its shares have fallen more than 76% in 2026, a drop that wiped out over $600 million from Eric Trump’s stake, echoing the pattern in American Bitcoin’s stock crash.

There has been a deep decline in the American Bitcoin Corp stock price this year.
There has been a deep decline in the American Bitcoin Corp stock price this year. Image Source: Trading View 

The AI Story, and the Pushback

Despite the successful pivot, Hut 8 has been under the microscope for its contribution to electricity prices. Genoot rejected a New York Times report that blamed data centers for $6.3 billion in added electricity bills across PJM Interconnection, the grid operator covering 13 states and Washington, D.C.

The report tied the increase to a capacity auction PJM held on June 30. “It’s not true,” Genoot said on air. He argued that most data center developers, including Hut 8, cover their own transmission upgrades and energy costs instead of passing them to ratepayers.

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Independent analysts complicate that upbeat picture. A Seeking Alpha review of Hut 8’s first-quarter 2026 results found a $253 million net loss and negative margins in its digital infrastructure segment. The same analysis does not expect material AI revenue until the second quarter of 2027.

Hut 8’s stock chart and ABTC’s chart tell two very different stories right now. Whether Hut 8’s $27 billion in contracted AI revenue turns into real cash before ABTC’s mining bet recovers could decide which story wins out.

The post Hut 8 Stock Surges Up to 200% in 2026 as Bitcoin Mining Unit Struggles appeared first on BeInCrypto.

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Balance Coin crashes 99% after reported $915K exploit

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Balance Coin crashes 99% after reported $915K exploit

Balance Coin crashes 99% after reported $915K exploit

Blockchain security firms linked the collapse to a suspected attack on 42DAO, the decentralized organization that governs the Balance Protocol ecosystem.

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How Much Has the Iran War Cost the US? Defence Secretary Puts a Number on It

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How Much Has the Iran War Cost the US? Defence Secretary Puts a Number on It

The war against Iran has run up a heavy bill for the United States, now pegged at $37.5 billion.

The estimate, delivered by Defense Secretary Pete Hegseth, arrives as US strikes on Iran continue for an 11th straight night.

US Defence Secretary Puts Iran War Cost at $37.5 Billion

Hegseth presented the figure to the Senate Appropriations Committee on Tuesday. He said the $37.5 billion covered certain aspects of the war plus anticipated costs through September 30.

Cost estimates have risen sharply since the conflict. Reuters reported in March that the administration valued the first six days of fighting at a minimum of $11.3 billion.

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The latest $37.5 billion figure sits roughly $12 billion above the $25 billion estimate Hegseth gave in late April. He offered that number just before Trump brokered a temporary ceasefire with Iran.

The administration is also pressing for more money. In late June, it asked Congress for $87.6 billion in extra funding.

The New York Times reported that as much as $70 billion of that would go to emergency military spending. The funds would cover war costs and pay for new weapons and personnel.

The Pentagon wants $46 billion to expand munitions production. That includes precision bombs, hypersonic missiles, and counter-drone systems.

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“This is a new request based on new realities of a world we face, stepping up to meet that moment,” Hegseth stated.

Ordinary Americans are absorbing costs too. Brown University’s Watson Institute estimates that higher gasoline and diesel prices have added $71.8 billion in consumer spending since the war began. That works out to about $548 per US household

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US-Iran Ceasefire Proposal Lands as Strikes Hit 11th Night

Diplomacy has run in parallel with the fighting. A senior Iranian official told Reuters on Monday that mediators had handed Tehran a de-escalation proposal.

The plan floats a 10-day ceasefire. The pause would create room to revive an interim deal struck last month.

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Those talks have not slowed the strikes. CENTCOM said it finished its 11th consecutive night of operations against Iran on Tuesday evening.

According to CENTCOM, the strikes hit military command centers, aircraft hangars, drone storage sites, and naval assets. The stated goal is to blunt threats to shipping in the Strait of Hormuz.

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Aztec v5 brings private smart contracts to Ethereum in alpha launch

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Aztec v5 brings private smart contracts to Ethereum in alpha launch

Aztec has launched the alpha version of its v5 execution layer, introducing a programmable privacy framework that allows Ethereum applications to process both public and private state within the same layer-2 environment.

Summary

  • Aztec has released the alpha version of its v5 execution layer, bringing programmable privacy to Ethereum through zero knowledge powered smart contracts.
  • The new architecture processes private computations on user devices while verifying transactions on chain without exposing sensitive data.
  • Aztec said the execution layer supports confidential decentralized applications with features designed to reduce front running and MEV risks.

Aztec Labs announced the alpha release of its v5 execution layer, describing it as a step toward making privacy-native smart contracts practical on Ethereum. 

The new architecture allows developers to build decentralized applications that combine confidential user data with public blockchain state while relying on zero-knowledge proofs to verify transactions without exposing sensitive information.

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Unlike Ethereum’s base layer, where every validator processes and stores transaction inputs, outputs, and execution data to reach consensus, Aztec’s execution layer moves private computation to the user’s device. Instead of revealing transaction details to the network, the system generates cryptographic proofs locally before submitting them for verification on-chain, reducing the amount of visible transaction data while preserving Ethereum’s security guarantees.

Client-side execution changes how private transactions are processed

At the center of the release is a client-side zero-knowledge execution engine integrated with Noir, Aztec’s domain-specific programming language for private smart contracts. Rather than executing confidential transactions across every network node like the Ethereum Virtual Machine, the system performs private computations on user hardware before generating recursive Succinct Non-Interactive Arguments of Knowledge, or SNARKs.

Those proofs allow the network to verify that state changes are valid without exposing plaintext inputs, transaction values, or account identities. According to Aztec Labs, the model cuts unnecessary data disclosure while maintaining mathematical guarantees that transactions have been executed correctly.

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The architecture also introduces a hybrid state model designed to overcome one of the biggest engineering challenges facing privacy-focused blockchains. Purely private execution environments often struggle when multiple users attempt to update the same public state at the same time, creating state contention that limits interaction with shared decentralized finance infrastructure.

To address that limitation, Aztec separates private and public state management. Private assets are stored in UTXO-like note trees, while public data is maintained through key-value trees. During execution, private functions can generate deferred public function calls that are processed later within the same transaction lifecycle, allowing confidential and public operations to work together without sacrificing deterministic execution or creating race conditions.

The execution model is intended to support applications that require confidential computation while still interacting with Ethereum’s public ecosystem, including shared liquidity pools and other decentralized finance protocols.

Privacy model targets decentralized finance and enterprise applications

Beyond transaction privacy, the execution layer introduces features that could reduce several long-standing issues in blockchain execution.

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According to Aztec Labs, transaction details remain hidden before state commitment, making it significantly harder for external observers to reorder pending transactions or exploit visible transaction data through Maximal Extractable Value strategies.

The architecture also provides building blocks for applications such as confidential order matching, private liquidity provisioning, and selective compliance systems that disclose only required information through viewing keys instead of exposing complete user records.

Those capabilities build on Aztec’s long-standing focus on programmable privacy rather than simple anonymous token transfers.

Speaking to crypto.news in April 2025, Aztec Labs co-founder and CEO Zac Williamson said blockchain privacy should go beyond hiding wallet addresses. 

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He described user privacy, confidential transaction data, and private smart contract execution as the three pillars needed for practical on-chain privacy, calling them “the holy grail of blockchain privacy.” 

Williamson also argued that privacy should not be treated as a separate segment of the industry, saying, “all crypto will be private” as programmable privacy becomes part of mainstream blockchain applications.

Discussing compliance, Williamson said privacy preserving systems should rely on selective disclosure instead of complete anonymity. He pointed to ZKPassport as an example, explaining that users can tap an NFC enabled passport to generate a zero knowledge proof and choose “what information you want to disclose,” whether it is nationality, age, or other identity attributes. 

He said the technology is “permissionless, it’s privacy preserving, and it ensures strong compliance,” adding that such systems are “a lot more powerful” than existing privacy solutions because they combine privacy with programmable compliance.

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That vision expanded further in May 2026 when Aztec Labs acquired ZKPassport while committing to keep the passport verification platform open source. The acquisition brought the privacy-focused identity infrastructure directly into Aztec’s ecosystem, allowing developers to combine programmable privacy with zero-knowledge identity verification across Ethereum-compatible networks.

The technology had already been tested on Aztec’s network to help reduce Sybil attacks by allowing participants to prove they were unique individuals without revealing their identities. It was also used during the AZTEC token sale to perform sanctions screening while keeping participant information private.

Alpha release follows security incidents involving legacy products

The execution layer arrives shortly after Aztec Labs dealt with security issues involving products that had already been retired.

Earlier this month, Aztec Labs disclosed that it was investigating a potential exploit involving a deprecated payments product launched in 2021 after roughly $2 million was transferred from an immutable smart contract. The company said the affected system had been discontinued in 2022 and operated without administrator keys, preventing the team from pausing or upgrading the contract.

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Separately, another deprecated product, Aztec Connect, lost approximately $2.1 million after attackers exploited an old immutable RollupProcessorV3 contract. Aztec Labs said the incidents were unrelated to the active Aztec network.

The Aztec Foundation also stated that neither exploit had any connection to the current network or the AZTEC ERC-20 token, emphasizing that the affected contracts belonged to legacy infrastructure that had remained live on Ethereum after the products were sunset.

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Kazakhstan Signs Network School Deal as Malaysia Revokes License

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Crypto Breaking News

Balaji Srinivasan’s Network School is looking to expand into Kazakhstan after regulators moved against its Malaysia operations, according to a memorandum of understanding announced by Kazakhstan’s Ministry of Digital Development, Innovation and Aerospace Industry. The deal, signed with minister Zhaslan Madiyev, aims to establish what the ministry describes as the first Network School campus in the country.

The Kazakhstan announcement comes as Network School’s Forest City-area presence faces escalating regulatory pressure. Malaysia’s local authorities revoked the business license of the operator, NSO Malaysia Sdn Bhd, prompting the Malaysia Digital Economy Corporation (MDEC) to begin steps to remove the company’s Malaysia Digital status. The situation raises the question of how easily Network School can restart and maintain immigration- and incentives-related arrangements across borders.

Key takeaways

  • Kazakhstan’s ministry says it has signed an MoU with Balaji Srinivasan to create the first Network School campus in the country.
  • Malaysia’s Iskandar Puteri City Council revoked NSO Malaysia Sdn Bhd’s business license over alleged licensing and premises-use breaches.
  • MDEC says it is taking immediate steps to revoke NSO Malaysia’s Malaysia Digital status, which comes with benefits such as tax incentives and employment flexibility.
  • Local officials in Johor have urged federal authorities to keep investigating whether Network School violated immigration laws.
  • Srinivasan has framed the developments as consistent with the “network state” concept, while also saying Malaysia issues are being addressed through a remedial process.

Kazakhstan MoU opens a new front for Network School

In a statement from Kazakhstan’s Ministry of Digital Development, Innovation and Aerospace Industry, the government said an MoU was signed with Zhaslan Madiyev and Network School founder Balaji Srinivasan to establish a campus in Kazakhstan. While the document signals a strategic expansion, details of implementation—such as timeline, campus location, and regulatory steps—were not included in the provided reporting.

Network School’s Kazakhstan pivot matters for prospective residents and investors because campus operations are closely tied to host-country regulatory conditions, especially around visas, employment rules, and corporate status benefits. Srinivasan has previously described Network School as a community built around attracting globally distributed talent and capital, and the Kazakhstan proposal positions the group to potentially preserve momentum rather than waiting for a resolution in Malaysia.

Kazakhstan has also been positioning itself as a technology hub, including plans connected to a “crypto city” in Alatau, as referenced in the source material. Against that backdrop, Network School’s presence could be marketed as part of a broader attempt to draw innovation-driven communities and companies to the region.

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Malaysia: revoked license and a threat to Malaysia Digital status

Malaysia’s regulatory actions began after the Iskandar Puteri City Council (MBIP) revoked the business license of NSO Malaysia Sdn Bhd, the entity operating the Network School’s Johor-area campus. MBIP cited alleged breaches of licensing conditions and requirements related to how premises were used, according to a report linked in the source material from mediadigitaljohor.gov.my.

Following the license revocation, MDEC announced it was taking immediate steps to revoke NSO Malaysia’s Malaysia Digital status. The Malaysia Digital program recognizes qualified technology and digital companies and is described in the source material as offering incentives such as tax advantages, ownership flexibility, and permission to employ both local and foreign workers—benefits that can be critical for international communities that rely on a steady inflow of talent.

MDEC’s stated rationale is that Malaysia Digital status requires companies to comply with local and federal laws. Removing that status could complicate Network School’s ability to operate smoothly if the campus depends on the program’s employment and incentives framework.

Johor officials push for immigration-law scrutiny

The stakes extend beyond corporate licensing. The source material says Johor Chief Minister Onn Hafiz Ghazi urged Malaysia’s federal authorities to continue investigating whether Network School violated immigration laws. He characterized Johor as a “strategic entry point” because the state borders Singapore and therefore argued that any weaknesses or abuse of the immigration system should be addressed promptly and firmly.

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That emphasis highlights a common tension for border-adjacent technology hubs: even when a concept has strong global appeal, enforcement actions tied to immigration compliance can quickly affect day-to-day operations, staffing, and residency arrangements for community members.

Earlier coverage referenced in the source material indicates that scrutiny has been ongoing, including questions about how the campus fits within existing legal frameworks. The current license revocation and the potential loss of Malaysia Digital status suggest authorities are not treating the matter as purely procedural.

Srinivasan denies shutdown claims and points to remediation

As the regulatory situation unfolded, Srinivasan denied reports that Network School was shutting down. According to the linked social media statement in the source material, he said Network School had received two notices: one reportedly requiring “change the text of a sign,” and another related to a coworking setup formed by combining two adjacent units, where one side had a valid license but the other did not.

Srinivasan said the issues fell within a remedial period and that the organization would remediate them, adding that its members were otherwise unaffected. Cointelegraph also notes that it reached out to Srinivasan and Network School for comment, but the provided text does not include any additional responses beyond the denial and remediation framing.

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Interpreting these statements alongside the MBIP and MDEC actions reveals an important asymmetry: public guidance from local authorities and program administrators may move faster than a company’s internal remediation plan. In practical terms, even if a remedial path exists on paper, the uncertainty can still disrupt hiring, occupancy, and community planning—especially for international residents who rely on predictable compliance timelines.

Meanwhile, Dragonfly Capital managing partner Haseeb Qureshi, quoted in the source material, linked the “Malaysia drama” to the broader “network state” argument. He suggested that the outcome could be used to negotiate new arrangements with other jurisdictions—an interpretation Srinivasan appears to be leaning into as the Kazakhstan MoU emerges.

What to watch next for Network School

Readers should focus on two tracks as the story develops: whether MDEC’s Malaysia Digital revocation proceeds and how quickly Malaysia’s immigration inquiries translate into enforceable outcomes, and—on the other side—how Kazakhstan operationalizes the MoU into concrete regulatory approvals for a Network School campus. Until those details are clear, Network School’s ability to retain its community and recruitment momentum will likely depend on jurisdiction-by-jurisdiction compliance rather than a single global brand narrative.

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