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Opt-in privacy is failing crypto

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Pavel Nikienkov

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.

Privacy has been a recurring narrative in crypto for years. Just weeks after Bitcoin (BTC) launched, Hal Finney pointed out the problem in only his second tweet about it, but the concept didn’t gain wider traction until Monero (XMR) arrived in 2014. Since then, privacy has repeatedly re-emerged as a core promise of decentralised money, especially during moments of regulatory pressure or heightened concerns around financial surveillance. 

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Summary

  • Opt-in privacy fractures networks: When users must “turn on” privacy, anonymity sets shrink and private transactions become more conspicuous — not less.
  • Design, not demand, is the problem: Zcash’s advanced cryptography exists, yet most transactions remain transparent. Narrative momentum hasn’t translated into usage.
  • Privacy must be the default to work: Like security, financial privacy only strengthens when everyone shares it — automatic, universal, and baked into the protocol.

Analysts are positive that crypto’s future will continue to be defined by the privacy narrative. Investor Balaji Srinivasan argued privacy will define the industry’s following eight years; meanwhile, a16z crypto said privacy will be the industry’s most important “moat” in 2026. Indeed, privacy coins have rallied at the end of 2025 and continue to fluctuate into the start of the new year. At their peak, the sector reached a combined market capitalisation surpassing $40 billion, before falling back to roughly $17 billion. 

Zcash (ZEC) was a key driver of that resurgence, rising by more than 1,300% from late September 2025 to its all-time high and remaining up over 600% at current prices, briefly overtaking Monero by total market volume. Yet despite renewed interest and price momentum, actual privacy usage remains strikingly low. Zcash’s shielded pool continues to hold just above 30% of the circulating supply, while roughly two-thirds of transactions remain fully visible on-chain.

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This disconnect exposes a deeper issue. If interest in privacy is rising, why are users not migrating into the very privacy layers designed for that purpose? The answer could just be structural: opt-in privacy is failing crypto.

Opt-in privacy was a design compromise 

In 2013, the pseudonym Nicolas van Saberhagen published the CryptoNote v2 paper, which explicitly framed transaction privacy not as a “nice to have,” but as a core requirement of electronic cash. This paper argued that Bitcoin’s transparency made it pseudo-anonymous at best, and outlined two properties a truly private payment system should satisfy: untraceability and unlinkability.  Andrey Sabelnikov, now co-founder of Zano, worked alongside Nicolas to bring this vision to life, implementing the protocol he had designed. From the start, CryptoNote made privacy the default, baked into every transaction rather than offered as an afterthought.

But as the industry evolved, many projects lost sight of this principle. Rather than pushing the boundaries of privacy-preserving technology, they took the path of least resistance, prioritizing compatibility, performance, and mainstream appeal over user protection. Privacy-preserving cryptography was still expensive and unfamiliar, so newer designs retreated to opt-in models.

This compromise had serious consequences. Privacy became a feature to be toggled on rather than a baseline guarantee. Users who chose the private option effectively marked themselves as having something to hide, while the default transparent experience left the majority exposed. This trade-off may have seemed pragmatic at the time, but it fundamentally betrayed the original vision that CryptoNote had established: that true electronic cash must protect user privacy by design and wasn’t something to bolt on later; it had to be designed into the core transaction model itself.

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The biggest network carrying the original default-privacy philosophy is Monero. Launched in 2014, it adopted the CryptoNote protocol, preserving the principles that Nicolas and Andrey had already established. Instead of asking users to choose between public and private modes, the design assumes that financial transactions should be private by default, and that privacy improves when everyone shares the same protections.

Through this philosophy, privacy does not just become a feature, but a network effect. A privacy system is only as strong as the crowd it can hide in. When privacy is optional, the network fractures into transparent and private activity. The private pool becomes smaller, the anonymity set shrinks, and the privacy model weakens in practice, regardless of how sophisticated the cryptography may be.

The Zcash paradox 

Zcash illustrates the central contradiction facing much of today’s privacy ecosystem. On paper, it offers some of the most advanced privacy technology in crypto, including zero-knowledge proofs that can fully shield transaction details. In practice, however, the majority of network activity remains transparent.

Despite renewed market interest and strong price performance, Zcash’s shielded pool continues to hold just above 30% of the circulating supply, while roughly two-thirds of transactions remain fully visible on-chain. The technology exists. The privacy guarantees are real. Yet most users do not use them.

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This gap is not a failure of cryptography, nor a lack of demand for privacy. It is the predictable outcome of opt-in design. When privacy is presented as a separate mode, something users must consciously enable, it introduces friction, uncertainty, and behavioural drop-off. Many users default to transparent transactions simply because they are easier, faster, or more familiar. Others may be unaware of the distinction altogether.

The consequence is a fragmented network. Public and private transactions coexist, but they do not reinforce one another. Instead, the private pool remains small, limiting the size of the anonymity set and weakening privacy guarantees for those who do opt in. Ironically, using privacy in an opt-in system can make a user more conspicuous rather than less.

Privacy can only work when it is the default

Privacy is not a behaviour users reliably opt into. It functions as a collective property. The more participants who share the same privacy guarantees, the stronger those guarantees become. When privacy is optional, networks fracture into public and private activity, shrinking anonymity sets and weakening protection for those who do opt in. In practice, optional privacy often makes users more conspicuous, not less.

The repeated cycles of privacy coin interest show that demand is not the problem; design is. Systems that rely on users to actively choose privacy struggle to translate narrative momentum into real adoption. If privacy is to become crypto’s defining moat, it must be treated as foundational infrastructure, not a feature toggle. Financial privacy works best when it is automatic, universal, and secure by default.

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Pavel Nikienkov

Pavel Nikienkov

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Pavel Nikienkov is the founder of Zano, a privacy-focused blockchain project designed to enable confidential, peer-to-peer digital transactions. He has spent much of his career working as a project manager and product owner in software development, applying nearly a decade of experience to the strategic direction and operational execution of privacy-oriented blockchain technology.

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Crypto World

BTC can bounce but market still lacks fuel for a real run

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Bitcoin back up above $71,000

Bitcoin is finding space to bounce, but not yet the fuel to run.

The macro backdrop has improved just enough to give bulls something to work with. Cooling headline inflation has strengthened expectations for three rate cuts this year, reviving the familiar playbook in which easier monetary policy supports risk assets.

And it could signal the possibility of liquidity slowly returning after months of tight financial conditions for crypto markets.

But caution against reading too much into that shift. The Federal Reserve is unlikely to embark on an aggressive easing cycle. Instead, it appears set for a measured approach that rebuilds liquidity gradually. That creates an environment where bitcoin can stage tactical rallies yet struggle to hold them.

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Bitfinex analysts describe the market as one prone to moves in waves rather than clean breakouts.

“In this environment, volatility remains likely,” the firm said in a note shared with CoinDesk. “Tactical upside moves can occur when positioning becomes overly defensive, but a durable structural advance will require clearer confirmation from both macro disinflation trends and sustained spot demand.”

Spot recoveries continue to meet steady selling. Each bounce is absorbed more smoothly than earlier in the quarter, suggesting some stabilization.

The overnight tape is a good example. Bitcoin traded as high as $68,500 before rolling over during the U.S. afternoon and sliding under $66,000, a move that lined up with a stronger dollar and hawkish Fed minutes. That kind of intraday reversal is the market’s way of saying rallies are still fragile, and that traders are quick to sell the moment macro conditions turn even slightly less friendly.

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“It is alarming that Bitcoin’s dynamics mirror the recent strengthening of the dollar. When investors become convinced that the rise of the dollar is a trend, there may be a sharp increase in volatility,” Alex Kuptsikevich, the FxPro chief market analyst, said in an email.”

“Volatility seems to have been turned off in this market, while stock indices are much livelier. There, investors are actively buying up dips, relying on support in the form of important moving averages: 50-day for the Dow Jones and Russell 2000 and 200-day for the Nasdaq100. The crypto market is now below its 50- and 200-day curves by 17% and 31%, respectively,” he added.

Sentiment remains fragile, meanwhile, as a crypto fear gauge has printed single digits on nine of the past fourteen days, territory rarely seen outside prior cycle lows.

At the same time, stablecoin outflows from major exchanges point to tighter liquidity, and long-term holders have shown signs of stress comparable to late bear-market phases in 2022, according to Glassnode.

For now, bitcoin appears caught between improving macro optics and stubborn supply. Tactical upside remains possible, especially when positioning leans too defensive.

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A durable advance, however, likely requires clearer evidence of disinflation, a softer dollar and consistent spot demand. Until then, the path higher may be uneven.

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Fueling Saudi Arabia’s Vision 2030

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Cb Img 2 1 2

Editor’s note: Global Games Show Riyadh 2026 signals a turning point for Saudi Arabia’s digital entertainment ecosystem as the kingdom accelerates growth across gaming, esports, and Web3. This press release outlines a multi-day program that combines live demonstrations, developer workshops, and high-profile panels, underscoring Riyadh’s emergence as a regional hub for interactive technology. The show also reinforces collaboration among startups, creators, and investors through dedicated networking spaces and matchmaking sessions. By bringing together leaders from across the industry, the event aims to catalyze partnerships and accelerate the creative economy envisioned in Vision 2030.

Key points

  • Global Games Show Riyadh 2026 brings together gaming, esports, and Web3 within Saudi Vision 2030.
  • The event features live demos, workshops, panels, and networking with industry leaders, indie developers to global publishers.
  • It is organized by VAP Group and powered by Times of Games, with parallel events Global AI Show and Global Blockchain Show on a single ticket.

Why this matters

By concentrating expertise and investment in Riyadh, the Global Games Show aims to accelerate Saudi Arabia’s creative economy and position the Kingdom as a regional and global hub for interactive technology. The conference highlights trends in immersive gaming, cloud gaming, and monetization strategies, and emphasizes collaboration across startups, developers, and publishers, aligning with Vision 2030’s diversification goals.

What to watch next

  • Updates on Day 1 and Day 2 sessions and key speakers.
  • Public announcements of participating companies and partnerships.
  • Ticketing details for the Global AI Show and Global Blockchain Show, accessible with one ticket.

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

Global Games Show Riyadh 2026 : Fueling Saudi Arabia’s Vision 2030

Global Games Show Riyadh 2026 Riyadh edition is poised to become the ultimate destination for gaming enthusiasts, developers, and investors alike. Organized by VAP Group and powered by the Times of Games, the event promises a vibrant lineup of discussions and engaging experiences that symbolize the rapidly changing gaming sphere.

Participants can explore the latest in game development, esports, and interactive entertainment, with live demonstrations, workshops, and panels led by industry leaders. From indie developers to global publishers, companies will present their most innovative games and technologies, providing attendees with insights into the future of gaming.

Cb Img 2 1 2

Educational and strategic sessions focus on trends such as immersive gaming, cloud gaming, and monetization strategies. These discussions equip participants with knowledge to navigate challenges, leverage opportunities, and scale their ventures effectively.

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Day 1 is all about the future of gaming technology, with talk on Saudi Arabia becoming a world esports capital, the next phase of gaming engines with Unreal Engine 6, brain–computer interfaces, and AI-generated game design. Experts will also discuss what the future of esports will look like in the Kingdom and how it is increasingly driving Vision 2030’s creative economy.

Day 2, entitled “Gameconomics,” explores the gaming business—from crowdfunded games to mobile gaming opportunity, player-coined communities, and developer–investor partnerships that form industry expansion.

By bringing a diverse mix of professionals under one roof, the Global Games Show strengthens Riyadh’s position as a hub for interactive technology and digital entertainment. Attendees also get access to other parallel flagship events, the Global AI Show and the Global Blockchain Show with just one ticket. GGS is a convergence of ideas, creativity, and opportunity in the gaming world.

Media enquiries :

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Press contact : media@globalblockchainshow.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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Moonwell’s AI-coded oracle glitch misprices cbETH at $1, drains $1.78M

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Crypto VC Funding Reaches $244M as Mesh Leads

Moonwell’s lending pools racked up about $1.78M in bad debt after a cbETH oracle mispriced the token at nearly $1 instead of around $2.2k, enabling bots and liquidators to drain collateral within hours of a misconfigured Chainlink-based update reportedly using AI-generated logic.

Summary

  • Misconfigured cbETH oracle set price near $1 vs roughly $2.2k, triggering a ~99% valuation gap that broke Moonwell’s collateral math.
  • Liquidators repaid around $1 per position to seize over 1,096 cbETH, leaving Moonwell with roughly $1.78M in protocol-level bad debt.
  • Faulty formula and scaling logic were reportedly co-authored by AI model Claude Opus 4.6, spotlighting new DeFi risk around AI-written oracle and pricing code.

Decentralized finance lending protocol Moonwell suffered a $1.78 million exploit due to a pricing oracle bug that misvalued Coinbase-wrapped ETH (cbETH), according to reports from the platform.

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The vulnerability originated in oracle calculation logic reportedly generated by the AI model Claude Opus 4.6, which introduced an incorrect scaling factor in the asset price feed, according to the protocol’s disclosure. Attackers borrowed against severely underpriced collateral, extracting funds before the error was detected and corrected.

The cbETH mispricing effectively collapsed the collateral requirement for borrowing within affected pools. Because lending systems rely on accurate collateral ratios, the incorrect price allowed attackers to extract assets with minimal backing value, according to the protocol’s technical analysis.

Price oracles represent critical security components in DeFi lending systems. Incorrect asset valuation can enable under-collateralized borrowing or liquidation failures. Many major DeFi exploits have historically involved oracle manipulation or pricing errors rather than core protocol flaws, according to industry security reports.

The Moonwell incident differs from traditional oracle exploits in that the faulty logic appears linked to automated AI code generation rather than malicious oracle data feeds, according to the protocol’s preliminary investigation.

The exploit highlights risks associated with AI-assisted smart-contract development in financial applications. Language models can accelerate coding workflows, but financial protocols require precise numerical correctness, unit handling and edge-case validation, according to blockchain security experts.

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In DeFi systems, small arithmetic or scaling mistakes can translate into systemic vulnerabilities affecting collateral valuation and solvency. The incident raises questions about whether AI-generated contract components may require stricter auditing standards than manually written code, according to security researchers.

AI-assisted development is increasingly used across Web3 engineering workflows, from contract templates to integration logic. Security models and audit frameworks have not yet fully adapted to AI-generated contract code, according to industry observers.

The broader implications center on how automated code generation errors in financial logic represent a new category of DeFi risk. Oracle math, scaling factors and unit conversions remain high-precision domains where automation failures can propagate into protocol-level vulnerabilities, according to technical analysis of the incident.

As AI-assisted smart-contract development expands, audit methodologies will likely need to evolve toward verifying not only code correctness but generation provenance and numerical invariants, according to blockchain security firms.

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Kalshi Data Could Inform Fed Reserve Policy, Say Researchers

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Kalshi Data Could Inform Fed Reserve Policy, Say Researchers

Three researchers at the US Federal Reserve argue that prediction market Kalshi can better measure macroeconomic expectations in real time than existing solutions and thus should be incorporated into the Fed’s decision-making process.

The “Kalshi and the Rise of Macro Markets” paper was released on Feb. 12 by Federal Reserve Board principal economist Anthony Diercks, Federal Reserve research assistant Jared Dean Katz and Johns Hopkins research associate Jonathan Wright.

Kalshi data was compared with traditional surveys and market-implied forecasts to examine how beliefs about future economic outcomes change in response to macroeconomic news and statements from policymakers.

Source: Tarek Mansour

“Managing expectations is central to modern macroeconomic policy. Yet the tools that are often relied upon—surveys and financial derivatives—have many drawbacks,” the researchers said, adding that Kalshi can capture the market’s “beliefs directly and in real time.”

“Kalshi markets provide a high-frequency, continuously updated, distributionally rich benchmark that is valuable to both researchers and policymakers.”

Kalshi traders can bet on a range of markets tied to the Federal Reserve’s decision-making, including consumer price index inflation and payroll, in addition to other macroeconomic outcomes such as gross domestic product growth and gas prices.

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The Fed researchers said Kalshi data should be used to provide a risk-neutral probability density function, which shows all possible outcomes of Fed interest rate decisions and how likely each one is. 

“Overall, we argue that Kalshi should be used to provide risk-neutral [probability density functions] concerning FOMC decisions at specific meetings” arguing that the current benchmark is “too far removed from the monetary policy interest rate decision.”

However, Fed research papers are only “preliminary materials circulated to stimulate discussion” and do not impact the central bank’s decision-making.