Tag: CRYPTOS FoxBusiness.

Tempo Chain is now integrated into DeBank. The portfolio tracking platform, which covers Ethereum and EVM-compatible networks, has added Tempo as a supported chain with Uniswap included in the first batch of protocols.

For a Layer 1 blockchain built specifically for payments that went live on mainnet, appearing on DeBank is a meaningful infrastructure milestone. Users with assets on Tempo Chain can now track everything in DeBank without switching tabs or tools.

What Tempo Chain Is

Tempo is a purpose-built Layer 1 blockchain for payments, developed in partnership with leading fintechs. It is not a general-purpose smart contract platform that added payment features later. The entire architecture is oriented around payments at scale, which shapes everything from its consensus design to its fee structure to the kinds of applications it prioritizes for its ecosystem.

The fintech partnerships matter. Most payment-focused blockchains are built by crypto-native teams working toward traditional finance from the outside. Tempo was developed with fintech partners involved from the start, which changes the product priorities.

Fintechs care about different things than DeFi developers. Reliability, throughput, user experience that doesn’t require a crypto background to navigate. Tempo was built with those requirements in mind from the start.

The network is already live on mainnet. This is not a testnet integration or an announcement of future plans. Tempo is running, and the DeBank integration reflects its current operational status rather than a roadmap item.

What DeBank Adds for Tempo Users

DeBank is the portfolio tracker a lot of serious DeFi users rely on daily. One view, every chain, every position. Tempo Chain being added means anyone with assets on Tempo can now see them sitting next to their Ethereum, Base, and Arbitrum holdings without opening a separate tool.

That might sound like a convenience feature, but it has practical implications for adoption. Users who already rely on DeBank are more likely to explore and use a new chain when it shows up there. Discovery happens inside the tools people already use. A chain that isn’t visible in portfolio trackers is effectively invisible to a large segment of active DeFi users, regardless of what’s being built on it.

DeBank also functions as a credibility signal. It doesn’t add every chain that asks. Its integration decisions reflect what it considers active and legitimate enough to put in front of its users. Getting listed is itself a signal.

Why Uniswap as the First Protocol

Uniswap being the first supported protocol on Tempo Chain within the DeBank integration is not a minor detail. Uniswap is the most recognized DEX in crypto along with Hyperliquid. Its presence on a new chain signals that the network has enough liquidity infrastructure to support meaningful trading activity, and it gives DeBank users a familiar entry point for interacting with Tempo Chain for the first time.

For a payment-focused blockchain, having a major DEX operational and trackable early in its lifecycle also means users can move between payment utility and trading activity without leaving the ecosystem. Payments and swaps go together. Uniswap handles the swap side on Tempo Chain. The native payment infrastructure handles settlement. Both running on the same chain is the point.

The Bigger Picture for Tempo Chain

A payment blockchain needs two things. Infrastructure that actually works, and enough visibility that users and developers show up to use it. Tempo has the first in place with its mainnet launch and fintech partnerships. The DeBank integration, with Uniswap as the opening protocol, starts building the second.

More protocols will follow in subsequent batches. Each addition to DeBank’s supported protocol list for Tempo Chain expands what users can track, which expands what they are likely to use, which expands the activity that makes the chain more attractive to the next developer considering where to build.

What’s Ahead

Tempo Chain landing on DeBank with Uniswap as the first supported protocol is a straightforward but important step. It puts a payment-focused Layer 1 blockchain in front of DeBank’s active DeFi user base at the point when those users are already managing their portfolios. Visibility in the tools people use daily is how new chains build their initial user base, and Tempo now has it.

Cryptocurrency exchange Binance has announced the delisting of certain trading pairs from its margin trading platform. According to the official statement, specific cross and isolated margin trading pairs on Binance Margin will be delisted on March 27, 2026, at 09:00 AM.

According to the announcement, the trading pairs that will be removed from cross-margin trading include XRP/BNB, Axie Infinity/$BTC, Ethereum Classic/$BTC, Cosmos/$BTC, Dash/$BTC, Bitcoin Cash/$USD1, Pundi X/$USDC, Avalanche/$USD1, and F/$USDC.

Regarding isolated margin trading, it was stated that the following pairs will be removed: Avalanche/ETH, Axie Infinity/$BTC, Ethereum Classic/$BTC, Cosmos/$BTC, Dash/$BTC, and F/$USDC.

Binance advised users to close their open positions and manage their assets before the specified date to avoid potential losses. Otherwise, automatic liquidation processes may be initiated by the system.

Stock exchange officials stated that the products offered in the margin market are regularly reviewed and that such updates are made based on criteria such as liquidity, trading volume, and risk management. Experts, however, emphasize that investors should exercise caution, bearing in mind the high risk involved in margin trading.

*This is not investment advice.

ENI and GANA Insight have announced a partnership to advance PayFi infrastructure on $BNB Chain. GANA brings a decentralized payment and DeFi layer that is already running. Not a pilot. Not a testnet. Fully audited, wallet-integrated, and live with real payment utility.

ENI brings the blockchain infrastructure underneath it: high throughput, low latency, built for enterprise use. Together, the partnership targets the gap between on-chain settlement capability and the merchant-ready experience that makes crypto payments usable in practice.

What GANA Insight Actually Does

GANA Insight is a decentralized PayFi infrastructure built on $BNB Chain. PayFi combines payment functionality with DeFi mechanics, allowing value to move through payment rails while also interacting with decentralized financial primitives like lending, yield, and settlement protocols.

What separates GANA from earlier attempts at crypto payment infrastructure is that it is already running. The platform is fully audited, wallet-integrated, and live with real payment utility rather than in a testnet or pilot phase. Merchants can accept payments through it. On-chain settlement is operational. The UX is designed around merchant needs rather than crypto-native users, which matters for any payment product trying to reach real commercial adoption.

The $BNB Chain foundation gives GANA access to a high-throughput, low-fee environment that makes small and frequent payments economically viable. Payment infrastructure that costs more in gas than the transaction is worth doesn’t work at scale. $BNB Chain’s fee structure solves that problem for the kinds of everyday payment volumes GANA is targeting.

What ENI Brings to the Partnership

ENI is an enterprise-grade Web3 blockchain built for real-world scale. Its design priorities are ultra-fast throughput and low latency, the two properties that matter most when payment infrastructure needs to handle volume without degrading user experience. A payment confirmation that takes seconds is still too slow for point-of-sale environments. ENI’s infrastructure is engineered around the performance requirements that enterprise and commercial payment contexts actually demand.

The combination of ENI’s performance layer with GANA’s live payment infrastructure creates a stack that covers both ends of the PayFi problem. ENI provides the speed and scale. GANA provides the payment logic, merchant UX, and DeFi integration that turns raw blockchain performance into something a business can actually use.

The PayFi Model and Why It Matters

PayFi is a relatively new framing for something the crypto industry has been trying to build for years: payment infrastructure that works like real payments while connecting to the broader DeFi ecosystem. The traditional payment stack, cards, bank transfers, payment processors, is slow, expensive, and siloed from the yield and settlement opportunities that DeFi offers.

PayFi infrastructure like GANA’s is designed to let value move through payment rails while simultaneously interacting with on-chain financial mechanisms. A merchant receiving a payment doesn’t just receive funds that sit idle. Those funds can settle, generate yield, or interact with other DeFi protocols in the same transaction flow. For businesses, that means payment infrastructure that is also a financial tool rather than just a value transfer pipe.

The permissionless nature of the infrastructure matters here too. Traditional payment systems require approval from intermediaries at every layer: payment processors, banks, card networks.

A permissionless PayFi infrastructure removes those gatekeepers, which has practical implications for merchants in markets where access to traditional payment rails is limited or expensive.

What the Collaboration Produces

TheENI and GANA partnership marks what both parties describe as another step toward a truly usable Web3 financial ecosystem. One partnership doesn’t solve the entire adoption problem for crypto payments. But it does add a layer of infrastructure that wasn’t there before.

Specifically, the collaboration connects ENI’s enterprise performance capabilities to GANA’s already-live payment utility on $BNB Chain. Merchants using GANA’s infrastructure gain access to the performance characteristics of ENI’s network. Its ecosystem gains a payment layer with real commercial utility already demonstrated.

The fully audited status of GANA’s infrastructure is worth noting for enterprise adoption. Businesses and institutional partners evaluating payment infrastructure need audit documentation before deploying at scale. GANA having that in place removes one of the more common blockers for enterprise integration.

Conclusion

ENI and GANA Insight are combining enterprise blockchain performance with live, audited PayFi infrastructure on $BNB Chain. The partnership doesn’t just describe what crypto payments could be. GANA is already running, merchants are already using it, and the on-chain settlement layer is already operational. ENI adds the performance infrastructure to support that at scale. That combination moves the Web3 payments conversation from theory to something closer to practice.

Blockchain-based prediction market platform Polymarket has rolled out a referral program that lets users monetize their network by earning a cut of trading fees.

Direct referrals generate 30% in rewards, while indirect referrals bring in 10%, with unlimited upside. All earnings are calculated in real time and deposited directly into the user’s account balance.

We’re excited to announce we’re expanding the release of Polymarket’s Referral Program from private beta to all traders with >$10k in volume

You will now be eligible for rewards proportionate to the trading volume of all new users you refer

Get started:https://t.co/uJhBnhMJub

— Polymarket (@Polymarket) March 23, 2026

According to the team, users can launch multiple referral campaigns, each with a unique link, to track which sources drive the most engagement. Links can be shared across social media, websites, or private channels, and referrals are automatically tracked upon sign-up.

Users who try to game the referral program through deceptive practices, policy violations, or abusive behavior will be permanently suspended and lose eligibility for any future referral earnings, the team has warned.

Polymarket is also updating its fee structure, according to the project’s documentation.

Effective March 30, taker fees will expand from just two market categories (crypto and sports) to nine, covering politics, finance, economics, technology, culture, weather, and more.

Fees will follow a standardized formula based on trade size and price, with peak effective rates reaching up to 1.8%. As before, fees will be lowest near extreme probabilities and highest near the midpoint.

Polymarket built its dominance on a deliberately frictionless model, charging zero fees across nearly all categories, which drew millions of users and billions of dollars in wagers.

During the 2024 US presidential election, more than $3.3 billion in bets flowed through the platform.

The company is said to be considering a fresh raise at a valuation nearing $20 billion, as rival Kalshi also eyes a comparable figure. At the same time, both firms are dealing with increasing regulatory scrutiny at the state level.

Disclosure: This article was edited by Vivian Nguyen. For more information on how we create and review content, see our Editorial Policy.

Key takeaways

• The transition from crypto to other GPU applications demonstrates the technology’s adaptability.
• Initial GPU investments were crucial for scaling and learning in tech operations.
• Scaling laws in computing are essential for developing transformative AI models.
• Inference is a key economic driver in AI, monetizing the investment in artificial intelligence.
• CoreWeave plays a pivotal role in deploying Nvidia’s new architecture at scale.
• The GPU depreciation debate is influenced by traders with short positions, not market realities.
• Clients’ long-term contracts indicate GPUs retain value beyond short-term depreciation claims.
• GPUs have a longer commercial viability than typically assumed, challenging common misconceptions.
• The demand for AI infrastructure is fostering market competition and profitability.
• Innovative financing structures are crucial for managing cash flow in compute resource contracts.
• The adaptability of GPU technology allows for diverse applications beyond its original crypto focus.
• Long-term investments in GPUs provide invaluable operational insights and business growth opportunities.
• Effective scaling is critical for decommoditizing computing and advancing AI model deployment.

Guest intro

Michael Intrator is co-founder, Chairman, President, and Chief Executive Officer of CoreWeave, Inc., a specialized cloud infrastructure company powering demanding AI workloads. Previously, he co-founded and served as CEO of Hudson Ridge Asset Management, a natural gas hedge fund, and as Principal Portfolio Manager at Natsource Asset Management, where he invested in global environmental markets and energy products. Under his leadership, CoreWeave has scaled into one of the world’s fastest-growing AI cloud platforms, partnering with Nvidia, OpenAI, and Microsoft.

The versatility of GPU technology

• We immediately moved from crypto to cgi rendering and we built projects that would allow folks that were trying to animate and render images… and then we moved to batch computing and started to look at medical research and different ways of using the compute to be able to drive science.

  — Michael Intrator

• The transition from crypto to other applications illustrates the versatility of GPU technology.
• GPU technology’s adaptability is a response to market volatility and the exploration of diverse use cases.
• The evolution of GPU applications reflects changing market demands.

• The transition from crypto to other applications of GPU computing illustrates the versatility of the technology.

  — Michael Intrator

• Understanding the evolution of GPU applications is crucial for grasping market dynamics.
• GPU technology’s adaptability showcases its potential beyond crypto.
• The shift in GPU applications highlights the technology’s role in various industries.

Strategic investments and scaling

• I kinda feel like buying those initial gpus was the tuition we paid to learn how to run this business.

  — Michael Intrator

• Initial investments in GPUs were a learning experience for scaling the business.
• Strategic investments in technology are vital for gaining operational knowledge.
• Scaling laws in computing are crucial for delivering transformative models.

• What became very clear to us very very early on was that the scaling laws were going to drive… computing decommoditizes at scale.

  — Michael Intrator

• Understanding scaling laws is essential for AI model development.
• Effective scaling impacts how AI models are developed and deployed.
• Scaling laws play a fundamental role in computing and AI infrastructure.

Monetization and AI infrastructure

• I always think of inference as the monetization yeah of the investment in artificial intelligence so when when when we see our compute being used to stand up the massive scale of inference that’s hitting our compute every day…

  — Michael Intrator

• Inference is the monetization of AI investments.
• Understanding inference is crucial for grasping AI’s economic implications.
• CoreWeave is at the forefront of deploying Nvidia’s new architecture at scale.

• So really you know we are we are the tip of the spear in bringing the new architecture out of nvidia into into commercial production at scale.

  — Michael Intrator

• Nvidia’s architecture is significant in AI infrastructure.
• CoreWeave’s role highlights the importance of Nvidia’s technology in AI deployment.
• The deployment of new architectures is crucial for advancing AI infrastructure.

The GPU depreciation debate

• So my take on the GPU depreciation debate yeah is that it’s nonsense right it’s a debate that is being brought to the forefront by some traders that have a short position in the stock and they’re trying to talk down…

  — Michael Intrator

• The GPU depreciation debate is driven by traders with short positions.
• Market commentary often does not reflect the reality of GPU usage.
• Clients typically purchase compute resources for five to six years.

• Our clients come into us and they buy compute for five years for six years our average contract is five years…

  — Michael Intrator

• GPUs retain value beyond short-term depreciation claims.
• Understanding contract lengths is crucial for grasping GPU lifespan.
• The debate around GPU depreciation often overlooks long-term usage.

The lifespan of GPUs

• The concept that a gpu is no longer relevant or commercially viable after sixteen more eighteen months or two years yeah that’s farcical it just it just doesn’t make sense.

  — Michael Intrator

• GPUs remain commercially viable for longer than typically assumed.
• Common misconceptions about GPU obsolescence are challenged.
• The ongoing utility of older technology is highlighted.
• Understanding GPU lifespan is crucial for tech industry assumptions.
• The relevance of GPUs extends beyond initial expectations.
• The commercial viability of GPUs is often underestimated.
• Older technology continues to have utility in various applications.

Demand and competition in AI infrastructure

• The fact that we are attracting competitors the means that the business is healthy and there’s a lot of people trying to deliver this service because the need for this infrastructure…

  — Michael Intrator

• Demand for AI infrastructure drives market competition.
• The competitive nature of the AI infrastructure market is highlighted.
• Profitability is impacted by the demand for AI infrastructure.
• Market dynamics are influenced by the need for AI infrastructure.
• The AI infrastructure market is characterized by competition and growth.
• Understanding market dynamics is crucial for grasping AI infrastructure trends.
• The demand for infrastructure fosters innovation and competition.

Innovative financing structures

• What I do is I create something it’s not a particularly creative name it’s called the box… the box governs cash flow and it has a waterfall of cash flow that comes into it and goes out of it.

  — Michael Intrator

• The financing structure for compute resources involves a ‘box’ that governs cash flow.
• Innovative financing models are crucial for managing compute resource contracts.
• Cash flow management is essential for large-scale compute resources.
• Understanding financing structures is key to grasping compute resource management.
• The ‘box’ model provides a unique financial mechanism for compute resources.
• Effective cash flow management is crucial for tech infrastructure financing.
• Innovative financial mechanisms are vital for compute resource management.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

Key takeaways

• Monad’s blockchain launch was successful, with fast transaction processing and positive user feedback.
• Strategic decisions, such as avoiding a pre-deposit campaign, set Monad apart from other blockchains.
• Monad was the first project to conduct a token sale on Coinbase’s new platform, enhancing its visibility.
• Exchanges play a crucial role as facilitators in the crypto ecosystem, integrating with networks to enable trading.
• Decentralization is vital for the growth and adoption of blockchain technologies.
• The Coinbase token sale attracted over 85,000 participants, showcasing strong interest in Monad’s token.
• Gating tokens on specific chains is seen as an outdated strategy that limits user access.
• Attempting to control token movement is ineffective in a decentralized environment.
• Adapting to market dynamics is more effective than resisting them in the crypto space.
• TVL growth should be driven by organic demand for sustainable ecosystem development.
• Monad’s approach to token distribution emphasizes accessibility and user engagement.
• The importance of decentralization underscores the broader adoption of blockchain systems.
• Strategic adaptability is crucial for navigating the rapidly evolving crypto market.
• Organic demand is essential for meaningful TVL growth in blockchain ecosystems.
• Monad’s successful token sale on Coinbase highlights its innovative approach to market engagement.

Guest intro

Keone Hon is the co-founder and CEO of Monad Labs, the company behind the high-performance parallel EVM blockchain Monad. Previously, he led a quantitative trading team at Jump Trading for eight years and served as a quantitative developer at Jump Crypto, focusing on blockchain research and DeFi infrastructure. He holds master’s degrees in computer science and finance from MIT.

Monad’s strategic launch decisions

• Monad chose not to have an ecosystem-wide pre-deposit campaign, a strategy popular with new blockchains.

• The decision to not have a ecosystem wide pre deposit campaign which have been really popular with a lot of new blockchains

  — Keone Hon

• This strategic choice differentiates Monad from other blockchain projects.
• Monad’s approach reflects a thoughtful strategy in launching its blockchain.
• The decision highlights Monad’s focus on long-term success over short-term gains.
• Monad’s unique launch strategy aims to build a sustainable ecosystem.

• Monad being the first project to do a token sale on coinbase’s new platform

  — Keone Hon

• Conducting the first token sale on Coinbase’s new platform was a pioneering move.
• This decision enhances Monad’s visibility and credibility in the crypto market.
• Monad’s strategic choices aim to foster genuine user engagement and interest.
• The approach reflects a commitment to building a robust and accessible blockchain ecosystem.

The role of exchanges in the crypto ecosystem

• Exchanges function as businesses that integrate with existing networks to facilitate trading.

• Any exchange is kind of just like a business… it’s just a participant in the network.

  — Keone Hon

• Exchanges accept deposits and credit users’ accounts internally.
• They evaluate withdrawal requests and send tokens out as needed.
• Exchanges act as facilitators rather than creators within the crypto space.
• Their role is crucial for enabling seamless trading and user interactions.
• Understanding exchanges’ operations is key to navigating the crypto ecosystem.
• Exchanges’ integration with networks is vital for the liquidity and functionality of digital assets.

Importance of decentralization in blockchain adoption

• Decentralization is crucial for the growth of crypto and blockchain adoption.

• From a decentralization perspective, it’s really important for growing crypto.

  — Keone Hon

• Decentralization enhances user trust and engagement with blockchain systems.
• It allows for the development of new systems that attract more users.
• Decentralized systems offer more transparency and security for users.
• The decentralized nature of blockchain fosters innovation and collaboration.
• Decentralization is a driving force behind the broader adoption of blockchain technologies.
• Emphasizing decentralization can lead to more sustainable and robust blockchain ecosystems.

Token sale success and community engagement

• The Coinbase token sale successfully engaged over 85,000 participants.

• Over 85,000 people participated in the Coinbase token sale.

  — Keone Hon

• This indicates strong interest in the Monad token and its ecosystem.
• The token sale provided everyday people access to the Monad token ahead of the public mainnet.
• Successful token sales are crucial for building a vibrant and engaged community.
• Community engagement is a key factor in the success of blockchain projects.
• The token sale’s success reflects Monad’s effective market engagement strategy.
• Engaging a large number of participants demonstrates the project’s appeal and potential.

Critique of outdated token distribution strategies

• Gating tokens on specific chains is an outdated strategy that limits access.

• It’s not a good strategy because… you’d gate your token.

  — Keone Hon

• This approach restricts user access and limits token liquidity.
• Accessibility is crucial for the widespread adoption of digital assets.
• Monad emphasizes open access to its tokens across different platforms.
• Outdated strategies can hinder the growth and adoption of blockchain projects.
• Emphasizing accessibility can enhance user engagement and ecosystem development.
• Monad’s approach to token distribution reflects a modern and user-centric strategy.

Challenges of controlling token movement

• Trying to control token movement is ineffective and counterproductive.

• The Monad Foundation does not control what people do with their tokens.

  — Keone Hon

• In a decentralized environment, token movement cannot be easily controlled.
• Users can acquire tokens and bridge them to other blockchains.
• Decentralization allows for the free movement and trading of tokens.
• Attempts to control token usage can undermine the principles of blockchain technology.
• Embracing decentralization enhances the flexibility and adaptability of blockchain ecosystems.
• Monad’s approach reflects an understanding of the decentralized nature of crypto assets.

Adapting to market dynamics in crypto

• It’s better to adapt to market dynamics rather than resist them.

• You don’t want to try to fight the current… why not list with Binance?

  — Keone Hon

• Flexibility is crucial for navigating the rapidly changing crypto market.
• Adapting to market trends can enhance a project’s success and growth.
• Resistance to market dynamics can hinder a project’s potential and innovation.
• Monad’s strategy emphasizes responsiveness to market changes and opportunities.
• Embracing market dynamics allows for strategic partnerships and collaborations.
• Monad’s adaptability reflects a forward-thinking approach to blockchain development.

Organic demand and sustainable TVL growth

• TVL growth should be driven by organic demand rather than artificial inflation.

• TVL growth is really meaningful only when it is driven by organic demand.

  — Keone Hon

• Genuine user demand is essential for sustainable ecosystem development.
• Artificially inflating TVL can lead to unsustainable growth and instability.
• Monad aims to earn TVL over time through end-user demand.
• Organic demand reflects the real value and utility of a blockchain ecosystem.
• Sustainable growth is crucial for the long-term success of blockchain projects.
• Monad’s focus on organic demand underscores its commitment to building a robust ecosystem.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

Anthony Scaramucci, a well-known figure in the cryptocurrency world, made striking statements about the future of Bitcoin and digital assets during a program he participated in.

Scaramucci notes that the current pullback looks frightening but is consistent with historical cycles, and he believes the market is near its bottom.

Scaramucci described the sell-off that followed Bitcoin’s break above $100,000 as a “self-fulfilling prophecy.” He noted that many early whales believed in the four-year cycle and began profit-taking upon seeing the six-figure numbers, adding that these sales were offset by institutional buying. He further stated that the decline could have been much deeper if it weren’t for giants like BlackRock and Fidelity stepping onto the scene.

Despite short-term fluctuations, Scaramucci maintains his long-term optimism, predicting that Bitcoin could reach a value of between $2 million and $3 million within the next decade (around 2032).

Scaramucci argued that when the “fear and greed” index in the market falls to extremely low levels, such as 5, it usually signals periods of great profit.

Scaramucci, making a bold prediction about the future of projects in the sector, claimed that out of approximately 25,000 coins in the market, 24,900 will eventually disappear. However, he foresees that those that survive this “cleanup” (such as Bitcoin, Ethereum, and Solana) will grow massively through tokenization of real-world assets and institutional adoption.

Referring to regulations in the US, Scaramucci said he expects the “Clarity Act” to be passed soon.

*This is not investment advice.

The Solana Foundation is making a new pitch to large institutions: privacy as a customizable feature, not a trade-off.

In a report released on Monday by the foundation, “Privacy on Solana: A Full-Spectrum Approach for the Modern Enterprise,” the organization argued that the next phase of crypto adoption will depend less on transparency alone and more on giving companies control over what they reveal — and to whom.

The framing marks a shift from crypto’s early ethos. Public blockchains have traditionally emphasized openness, where transactions are visible and traceable, even if users are represented only by wallet addresses. The report acknowledged that this “pseudonymity” model, while foundational, falls short for many real-world use cases. Financial institutions, for example, may need to prove transactions occurred without exposing counterparties, while companies processing payroll must avoid broadcasting employee salaries.

Underlying the pitch is a technical claim: that Solana’s speed makes advanced privacy techniques practical. The team argued that the network’s high throughput and low latency allow these methods to run at near-web speeds, opening the door to use cases such as encrypted order books or private credit risk calculations.

But rather than offering a single solution for privacy, the foundation presented privacy as a spectrum composed of four distinct modes: pseudonymity, confidentiality, anonymity and fully private systems.

At the base level, pseudonymity keeps identities obscured behind wallet addresses while leaving transaction data visible. Moving along the spectrum, confidentiality allows participants to be known while encrypting sensitive information like balances and transfer amounts.

Anonymity flips that dynamic, hiding the identities of participants while allowing transaction data to remain visible. At the far end are fully private systems, where both identities and transaction data are shielded through techniques like zero-knowledge proofs and multiparty computation.

The message is that no single privacy model fits all. “For enterprises, privacy is a spectrum, not a switch,” the report said.

What Solana is trying to do is bring all of these privacy options into one system. Instead of choosing just one approach, companies can mix and match tools — like hiding transaction amounts, proving something is valid without revealing details, or controlling who can access certain data — depending on what they need.

In practice, that could mean executing trades without revealing order size, sharing risk data across banks without exposing individual balance sheets, or allowing users to prove compliance without disclosing personal information.

The report leans heavily on the idea that privacy and regulation can coexist. The team pointed to mechanisms like “auditor keys,” which enable designated parties to decrypt transactions when required. Other systems would allow wallets to demonstrate compliance status without revealing identity. These features are framed as a response to growing regulatory scrutiny, particularly around anti-money laundering rules and financial surveillance.

“Privacy is a market requirement,” the report said. “Customers expect it and applications require it. On Solana, you choose your privacy level, from encrypted balances to zero-knowledge anonymity to multiparty confidential computing. Each level maps to a compliance path, and each is composable with the broader ecosystem.”

Read more: Solana Foundation’s Liu: Focus on finance, not gaming ‘misadventures’

Key takeaways

• AI’s capability to understand and predict human behavior poses ethical concerns about privacy and autonomy.
• The average person’s digital privacy is increasingly compromised due to advancing technologies.
• AI accelerates intimate data collection, enhancing existing business models.
• Tech companies record and analyze user interactions with AI tools, raising privacy concerns.
• Information shared with AI can become part of its training data, risking inadvertent disclosure.
• AI tools like ChatGPT may know users better than their closest relationships, impacting privacy.
• The market cap of top AI companies rivals that of many countries, suggesting significant influence.
• Subscription models for AI services may not be sustainable due to high operational costs.
• Current AI business models often prioritize profit over user privacy.
• AI technology costs are expected to decrease exponentially, affecting future development.
• There are no technical or legal barriers preventing full encryption for user data.
• Privacy is a fundamental human right and should not be considered a luxury.
• Many crypto foundations were created for fraudulent purposes rather than social benefit.
• The gap between open source and proprietary AI models is narrowing, making open source a viable option.
• Trust in crypto systems requires trust in both the technology and the people behind it.

Guest intro

Andy Yen is the founder and CEO of Proton, the privacy-focused tech company behind encrypted email service Proton Mail. Prior to founding Proton in 2014, he worked as a particle physicist at CERN, where he co-developed the infrastructure for secure, end-to-end encrypted communication inspired by large-scale computing challenges. His commitment to user privacy stems from experiences like Edward Snowden’s revelations and concerns over authoritarian surveillance.

The implications of AI’s growing influence

• AI has the potential to understand users better than they know themselves. “AI could know you better than you know yourself.” – Andy Yen
• AI can exploit personal weaknesses, raising ethical concerns. “AI will actually be able to exploit the weaknesses of your personality.” – Andy Yen
• The average person’s digital privacy is increasingly compromised. “The average person is quite compromised in terms of digital privacy today.” – Andy Yen
• AI accelerates existing business models by enabling more intimate data collection. “AI is simply an extension of a trend that’s been going on for fifty years.” – Andy Yen
• Tech companies record and analyze every conversation users have with AI tools. “Tech companies can see it because they are recording and analyzing every conversation.” – Andy Yen
• AI tools retain user data to improve services and target ads. “They’re actually looking at this information to improve these programs.” – Andy Yen
• Information shared with AI models can become part of their training data. “The information you give it becomes part of its brain.” – Andy Yen
• Once information is shared with AI, it is difficult to retract. “Once you put it out there, you cannot really take it back.” – Andy Yen

The power dynamics of AI and tech companies

• AI companies’ market capitalization exceeds that of many countries. “These companies have gotten so big that they are more powerful than governments.” – Andy Yen
• The subscription model for AI services may not be sustainable. “I don’t see how it’s possible to sustain that level of capex from a subscription model.” – Andy Yen
• Current AI business models prioritize profit over user privacy. “These are profit-driven companies that care only about profit.” – Andy Yen
• The cost of AI technology is expected to decrease exponentially. “The cost of AI is going to go down probably exponentially with time.” – Andy Yen
• There are no technical or legal barriers preventing full encryption for user data. “There’s no technical limitation that prevents them from doing what we’re doing.” – Andy Yen
• The aggressive data practices of companies are driven by capitalism. “Capitalism drives them to make the highest possible profits.” – Andy Yen
• Loomo’s approach ensures user conversations remain private. “We don’t keep a record of any of your conversations.” – Andy Yen
• Google’s business model creates a misalignment of incentives that undermines privacy. “You’re not actually Google’s customer; you’re the product.” – Andy Yen

The challenges of privacy and encryption

• Privacy is a modern-day digital civil liberty and a fundamental human right. “Privacy is our last defense against surveillance capitalism.” – Andy Yen
• The mandatory scanning of tech companies has been removed in Europe, a win for privacy. “The mandatory part has been removed, which is a huge win for Europe.” – Andy Yen
• There should be a modern digital bill of rights that enshrines the right to encrypt data. “Every citizen should always have the ability to encrypt their data.” – Andy Yen
• Legislation regarding privacy needs to be strengthened and informed by tech-savvy individuals. “We need a new generation of legislators who are more tech native.” – Andy Yen
• Governments can inadvertently worsen privacy legislation due to a lack of understanding. “You could actually make it worse.” – Andy Yen
• Backdoors in technology do not exist in a way that only allows good actors access. “I’ve never seen a backdoor that only left the good guys in.” – Andy Yen
• Mass surveillance undermines the presumption of innocence, crucial for democracy. “Mass surveillance is essentially saying everybody is under surveillance by default.” – Andy Yen

The role of crypto in financial freedom

• Financial transactions should be peer-to-peer and private. “Financial transactions should be peer to peer and should be private.” – Andy Yen
• Venezuela’s high Bitcoin adoption is due to extreme inflation and government control. “Venezuela is one of the countries with the highest Bitcoin adoption.” – Andy Yen
• Financial freedom is essential for actual freedom, and banning crypto is akin to banning cash. “There is no difference between freedom and financial freedom.” – Andy Yen
• The ratio of legitimate to illegitimate uses of crypto is skewed towards illegitimacy. “The ratio between legitimate and illegitimate uses is incorrect.” – Andy Yen
• Illegitimate uses and scams in crypto may constitute around 40% of the ecosystem. “It’s probably 40%, a substantial part of the ecosystem.” – Andy Yen
• The crypto community must address illicit activities to achieve mainstream acceptance. “Crypto will have a limit to its influence if we don’t tackle that problem.” – Andy Yen
• Creating a hostile environment for illicit actors is essential for crypto’s reputation. “It’s about creating an environment hostile to bad actors.” – Andy Yen

The importance of email and digital identity

• Email will remain a crucial aspect of digital identity for the foreseeable future. “Email is not just communication; it’s your digital identity.” – Andy Yen
• Switching from Gmail to ProtonMail is about opting out of Google’s data collection. “Switching to ProtonMail is erasing your identity from Google.” – Andy Yen
• Transferring your data to a more trusted provider can enhance privacy. “It’s easy now; a couple of clicks and you’re done.” – Andy Yen
• Using different aliases for online accounts can reduce spam and protect identity. “Spin up a different alias in Proton to use a fake alias.” – Andy Yen
• Locking down your email and identity is crucial to prevent hacks in crypto. “We have a lot of email accounts that get hacked in crypto.” – Andy Yen

The influence of big tech on privacy and regulation

• Big tech companies may engage in anti-competitive practices that threaten privacy-focused companies. “Big tech could engage in anti-competitive practices to wipe out privacy companies.” – Andy Yen
• The lack of regulation allows big tech to potentially control government and democracy. “Big tech controls our government and our democracy.” – Andy Yen
• Consumer choices play a crucial role in steering the economic and political future. “The most powerful force in capitalism is the individual consumer.” – Andy Yen
• Crypto could potentially capture 30% of the overall finance market. “Crypto could go from less than a percent to 30% of finance overall.” – Andy Yen
• The success of privacy-focused services depends on creating a competitive user experience. “We need a user experience that is a viable replacement for traditional finance.” – Andy Yen

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.