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From Ethereum Mining to AI Hyperscaler: How CoreWeave Became the Backbone of the AI Revolution

· 8 min read
Dora Noda
Software Engineer

In 2017, three Wall Street commodities traders pooled their resources to mine Ethereum in New Jersey. Today, that same company—CoreWeave—just received a $2 billion investment from Nvidia and operates AI infrastructure worth $55.6 billion in contracted revenue. The transformation from crypto mining operation to AI hyperscaler isn't just a corporate pivot story. It's a roadmap for how crypto-native infrastructure is becoming the backbone of the AI economy.

Pantera Capital's 2026 Crypto Forecast: 'Brutal Pruning,' AI Co-Pilots, and the End of the Casino Era

· 10 min read
Dora Noda
Software Engineer

The median altcoin fell 79 % in 2025. The October 10 liquidation cascade wiped out more than $20 billion in notional positions — eclipsing the Terra/Luna and FTX unwinds. And yet, 151 public companies ended the year holding $95 billion in digital assets, up from fewer than ten in January 2021.

Pantera Capital, the crypto industry's oldest institutional fund with $4.8 billion under management and a 265-company portfolio, has published its most detailed annual outlook yet. Written by managing partner Cosmo Jiang, partner Paul Veradittakit, and research analyst Jay Yu, the letter distills nine predictions and twelve theses into a single message: 2026 is the year crypto stops being a casino and starts being infrastructure. That thesis deserves scrutiny.

The State of Play: A Bear Market Hiding Inside a Bull Narrative

Before looking forward, Pantera's backward glance is unusually candid for a fund letter. Bitcoin fell roughly 6 % in 2025, Ethereum dropped 11 %, Solana slid 34 %, and the broader token universe (excluding BTC, ETH, and stablecoins) declined 44 % from its late-2024 peak. The Fear & Greed Index touched FTX-collapse-era lows. Perpetual futures funding rates collapsed, signaling a leverage washout.

The culprit, Pantera argues, was not fundamentals but structure. Digital asset treasuries (DATs) exhausted their incremental buying power. Tax-loss selling, portfolio rebalancing, and CTA (commodity trading advisor) flows compounded the downturn. The result was a year-long bear market for everything except Bitcoin and stablecoins — a divergence that sets the stage for every prediction that follows.

The key statistic: 67 % of professional investment managers still have zero digital asset exposure, according to a Bank of America survey. Only 4.4 million Bitcoin addresses hold more than $10,000 in value, versus 900 million traditional investment accounts globally. The gap between institutional interest and institutional allocation is where Pantera sees the 2026 opportunity.

Prediction 1: "Brutal Pruning" of Corporate Bitcoin Treasuries

The most provocative call is consolidation among digital asset treasury companies. By December 2025, 164 entities (including governments) held $148 billion in digital assets. Strategy (formerly MicroStrategy) alone holds 709,715 Bitcoin purchased for approximately $53.9 billion. BitMine, the largest corporate Ethereum holder, accumulated 4.2 million ETH valued at $12.9 billion.

Pantera's thesis: only one or two dominant players will survive per asset class. "Everyone else gets acquired or left behind." The math supports this. Smaller DATs face a structural disadvantage — they can't issue convertible notes at the same scale, they don't get the same premium-to-NAV, and they lack the brand recognition that drives retail flows.

This has direct implications for the 142 public companies operating corporate Bitcoin treasuries. Many face the same Grayscale GBTC-style discount risk we've analyzed previously — when premiums evaporate, these companies become worth less than their underlying holdings, triggering a death spiral of selling pressure.

Prediction 2: Real-World Assets Double (At Minimum)

RWA TVL reached $16.6 billion by mid-December 2025 — approximately 14 % of total DeFi TVL. Pantera expects treasuries and private credit to at least double in 2026, with tokenized stocks growing faster thanks to an anticipated SEC "Innovation Exemption" for tokenized securities in DeFi.

The "surprise" call: one unexpected asset class — carbon credits, mineral rights, or energy — will surge. This aligns with the broader institutional consensus. Galaxy Digital predicts the SEC will provide exemptions to expand tokenized securities in DeFi (though those exemptions will be tested in court). Messari's thesis identifies RWA as a "systemic integration" pillar alongside AI and DePIN.

Pantera also singles out tokenized gold as a key RWA category, forecasting that blockchain-based gold tokens backed by physical bullion will become a cornerstone of DeFi collateral strategies — essentially positioning tokenized gold as a macro hedge embedded natively in on-chain lending markets.

Prediction 3: AI Becomes Crypto's Primary Interface

This prediction has two layers. First, Pantera argues that AI will become the primary way users interact with crypto — conversational assistants that execute trades, provide portfolio analysis, and enhance security. Platforms like Surf.ai are cited as early examples.

Second, and more ambitiously, research analyst Jay Yu predicts that AI agents will mass-adopt x402, a blockchain-based payment protocol, with some services deriving over 50 % of revenue from AI-initiated micropayments. Yu specifically predicts Solana will surpass Base in x402 transaction volume.

The institutional implication: AI-mediated trading cycles will become mainstream. Not fully autonomous — Pantera acknowledges LLM-based autonomous trading is still experimental — but AI assistance will "gradually permeate user workflows of most consumer-facing crypto applications." The next crypto unicorn, they argue, may be an on-chain security firm using AI to achieve "100x safety improvements" over current smart-contract auditing.

This prediction has real numbers behind it. Current AI already achieves 95 % accuracy in Bitcoin transaction labeling for fraud detection. The gap between 95 % and 99.9 % — where institutions need it to be — is where the value creation happens.

Prediction 4: Bank Consortium Stablecoin and the $500B Market

Stablecoins hit a $310 billion market cap in 2025, doubling since 2023 in a 25-month expansion. Pantera's boldest stablecoin call: ten major banks are exploring a consortium stablecoin pegged to G7 currencies, with ten European banks separately investigating a euro-pegged stablecoin. They predict at least one major bank consortium will release its stablecoin in 2026.

This aligns with broader industry momentum. Galaxy Digital predicts that top-three global card networks will route more than 10 % of cross-border settlement volume through public-chain stablecoins in 2026. Pantera forecasts the stablecoin market reaching $500 billion or more by year-end.

The tension: stablecoin growth benefits off-chain equity businesses more than token protocols. Pantera is refreshingly honest about this. Circle captured a $9 billion IPO valuation, Coinbase earns $908 million annually from USDC revenue sharing, and Stripe acquired Bridge for $1.1 billion — all equity value, not token value. For token holders, the stablecoin boom is infrastructure that enriches everyone except them.

Prediction 5: The Biggest Crypto IPO Year Ever

The U.S. saw 335 IPOs in 2025 (a 55 % increase from 2024), including nine blockchain listings. Pantera portfolio companies Circle, Figure, Gemini, and Amber Group went public with a combined market cap of approximately $33 billion as of January 2026. Ledger is reportedly eyeing a $4 billion IPO with Goldman Sachs, Jefferies, and Barclays advising.

Pantera predicts 2026 will exceed 2025's IPO activity. The catalyst: 76 % of companies surveyed plan tokenized asset additions, with some targeting 5 %+ portfolio allocation to digital assets. As more crypto companies have auditable financials and regulatory compliance, the IPO pipeline deepens.

Prediction 6: A $1B+ Prediction Market Acquisition

With $28 billion traded in prediction markets during 2025's first ten months (hitting an all-time high of $2.3 billion the week of October 20), Pantera predicts a buyout exceeding $1 billion — one that will not involve Polymarket or Kalshi. The targets: smaller platforms with institutional infrastructure that larger financial players want to acquire rather than build.

Yu separately predicts prediction markets will bifurcate into "financial" platforms (integrated with DeFi, supporting leverage and staking) and "cultural" platforms (localized, long-tail interest betting). This bifurcation creates acquisition targets at both ends.

How Pantera's Predictions Compare to the Consensus

Pantera's outlook doesn't exist in isolation. Here's how it aligns with — and diverges from — other major institutional forecasts:

ThemePanteraMessariGalaxyBitwise
RWA growthTreasuries/credit doubleSystemic integration pillarSEC tokenized securities exemption--
AI x CryptoPrimary interface, x402 adoptionKey convergence trendScaling via AI agentsKey convergence trend
Stablecoins$500B+, bank consortiumBridge to TradFiTop-3 card networks route 10%+ cross-border--
Bitcoin priceNo explicit targetMacro asset, cycle diminishing$50K-$250K range, $250K targetNew ATH in H1 2026
ETF flowsInstitutional consolidation--$50B+ inflowsETFs buy >100% new supply
RegulationIPO wave catalyst--SEC exemptions tested in courtCLARITY Act triggers ATH

Five of six major firms agree that AI-crypto convergence will scale in 2026. The sharpest divergence is on Bitcoin price: Galaxy predicts $250,000, Bitwise expects new all-time highs in H1, while Pantera avoids a specific target — focusing instead on structural adoption metrics rather than price.

For accuracy context: historical prediction scorecards show Messari at 55 % accuracy, Bitwise at 50 %, Galaxy at 26 %, and VanEck at 10 %. Pantera's track record is harder to assess because their predictions tend to be structural rather than price-based — which is arguably more useful for portfolio construction.

The Uncomfortable Truth Pantera Acknowledges

The most valuable section of Pantera's letter isn't the predictions — it's the honest assessment of what went wrong in 2025. They identify three structural problems that don't have obvious 2026 solutions:

Value accrual failure. Governance tokens broadly failed to capture protocol revenue. Pantera cites Aave, Tensor, and Axelar as cases where token holders didn't benefit proportionally from platform growth. Yu predicts "equity-exchangeable tokens" may emerge as a fix, but the regulatory framework for token-equity convergence remains unclear.

Slowing on-chain activity. Layer-one revenues, dApp fees, and active addresses all decelerated in late 2025. The infrastructure buildout has dramatically reduced transaction costs — great for users, challenging for L1/L2 token valuations that depend on fee revenue.

Stablecoin value leakage. The $310 billion stablecoin market enriches issuers (Circle, Tether) and distributors (Coinbase, Stripe) — equity businesses, not token-governed protocols. This creates a paradox: the fastest-growing crypto use case may not benefit crypto token holders.

These aren't problems Pantera claims to solve. But acknowledging them puts the bullish predictions in useful context: even the industry's most optimistic institutional investor recognizes that 2026's growth may flow to equity rather than tokens.

What This Means for Builders and Investors

Pantera's 2026 framework suggests three actionable themes:

Follow the equity, not just the tokens. If the biggest crypto value creation happens through IPOs, bank stablecoins, and AI security companies, portfolio construction should reflect that. The era of pure token speculation is giving way to a hybrid equity-token landscape.

The consolidation trade is real. "Brutal pruning" of DATs, prediction market acquisitions, and institutional-grade infrastructure suggest that 2026 rewards scale and compliance over innovation and experimentation. For builders, this means the bar for launching new protocols has risen dramatically.

AI is the distribution channel, not just the product. Pantera's emphasis on AI as the "interface layer" for crypto implies that the next wave of crypto adoption won't come from better protocols — it will come from AI assistants that make existing protocols accessible to the 67 % of investment managers who currently have zero crypto exposure.

The crypto industry has been promising "the year of infrastructure" for half a decade. Pantera's $4.8 billion bet is that 2026 is finally the year it delivers. Whether that's conviction or marketing, the data they cite — 151 public companies holding $95 billion, $310 billion in stablecoins, $28 billion in prediction markets — makes the case that the infrastructure is already here. The question is whether it generates returns for token holders or only for the equity investors Pantera's own fund structure serves.


This article is for educational purposes and does not constitute investment advice. Always conduct independent research before making investment decisions.

Bitcoin Miners Transform into AI Infrastructure Giants: A 2026 Industry Shift

· 9 min read
Dora Noda
Software Engineer

What happens when the world's most energy-intensive industry discovers an even hungrier customer than Bitcoin? In 2026, we're watching the answer unfold in real-time as Bitcoin miners abandon their crypto-only strategies to become the backbone of artificial intelligence infrastructure, signing $65 billion in contracts with Microsoft, Google, and other tech giants along the way.

The transformation is so dramatic that some miners are projecting Bitcoin will account for less than 20% of their revenue by year-end—down from 85% just 18 months ago. This isn't a pivot; it's an industrial metamorphosis that could reshape both the crypto mining landscape and the global AI infrastructure race.

The DeepSeek Shock One Year Later: How AI's Sputnik Moment Transformed Crypto

· 8 min read
Dora Noda
Software Engineer

On January 27, 2025, Nvidia lost $589 billion in market cap in a single day—the largest one-day loss in U.S. stock market history. The culprit? A relatively unknown Chinese startup called DeepSeek had just released an AI model matching OpenAI's performance for 3% of the cost. Bitcoin crashed 6.5% below $100,000 as $300 billion evaporated from crypto markets. Pundits declared the AI-crypto thesis dead.

They were spectacularly wrong.

One year later, the AI-crypto market cap has stabilized above $50 billion, making it the top-performing segment in digital assets. Render rose 67% in the first week of 2026. Virtuals Protocol surged 23% in a single week. The DeepSeek shock didn't kill the AI-crypto sector—it forced a Darwinian evolution that separated speculation from substance.

The Day Everything Changed

The morning of January 27, 2025, started like any other Monday. Then investors discovered that DeepSeek had trained its R1 model—capable of matching or exceeding OpenAI's o1 on key benchmarks—for just $5.6 million. The implications sent shockwaves through every market dependent on the "AI scaling hypothesis": the belief that bigger models requiring more compute would always win.

Nvidia plunged 17%, wiping out nearly $600 billion. Broadcom fell 19%. ASML dropped 8%. The contagion spread to crypto within hours. Bitcoin slid from above $100,000 to $97,900. Ethereum plummeted 7% to test $3,000 support. AI-focused tokens suffered even more brutal losses—Render dropped 12.6%, Fetch.ai fell 10%, and GPU-sharing projects like Nodes.AI crashed 20%.

The logic seemed ironclad: if AI models no longer needed massive GPU clusters, why would anyone pay premium prices for decentralized compute networks? The entire value proposition of AI-crypto infrastructure appeared to collapse overnight.

Marc Andreessen later called it AI's "Sputnik moment." Like the 1957 Soviet satellite that forced America to reimagine its technological strategy, DeepSeek forced the entire AI industry to question fundamental assumptions about what it takes to build intelligence.

The Jevons Paradox Strikes Again

Within 48 hours, something unexpected happened. Nvidia recovered 8%, erasing nearly half its losses. By late 2025, Render and Aethir had climbed to near all-time highs. The AI-crypto narrative didn't die—it transformed.

The explanation lies in a 19th-century economic principle that Microsoft CEO Satya Nadella invoked on X the day after the crash: the Jevons Paradox.

In 1865, economist William Stanley Jevons observed that improvements in coal efficiency didn't reduce coal consumption—they increased it. More efficient steam engines made coal-powered machinery economically viable for more applications, driving total demand higher than ever.

The same dynamic now plays out in AI. DeepSeek's efficiency breakthrough didn't reduce demand for compute—it exploded it. When you can run a competitive AI model on consumer hardware, suddenly millions of developers who couldn't afford cloud GPU bills can deploy AI agents. The total addressable market for AI compute expanded dramatically.

"Instead, we saw no slowdown in spending in 2025," noted one industry analysis, "and as we look ahead, we foresee an acceleration of spending in 2026 and beyond."

By January 2026, GPU scarcity remains acute. SK Hynix, Micron, and Samsung have already allocated their entire 2026 high-bandwidth memory production. Nvidia's new Vera Rubin architecture, announced at CES 2026, promises even more efficient AI training—and the market's response has been to bid up GPU-sharing tokens another 20%.

From Compute to Inference: The Great Pivot

The DeepSeek shock did fundamentally change what matters in AI-crypto—just not in the way bears expected.

Before January 2025, AI-crypto tokens traded primarily as proxies for raw compute capacity. The pitch was simple: AI training needs GPUs, decentralized networks provide GPUs, therefore token prices follow GPU demand. This "compute maximalism" thesis collapsed when DeepSeek demonstrated that raw parameter counts and training budgets weren't everything.

What emerged in its place was far more sophisticated. The market began distinguishing between three categories of AI-crypto value:

Compute tokens focused on training infrastructure saw their premium compress. If a $6 million model can compete with a $100 million one, the moat around compute aggregation is thinner than assumed.

Inference tokens focused on running AI models in production gained prominence. Every efficiency gain in training increases the demand for inference at the edge. Projects pivoted to support "millions of smaller, specialized AI agents rather than a few massive LLMs."

Application tokens tied to actual AI agent revenue became the new darlings. The industry began tracking "Agentic GDP"—the total economic value generated by autonomous AI agents transacting on-chain. Projects like Virtuals Protocol and ai16z started processing millions in monthly revenue, proving that real utility, not speculative narratives, would determine survivor

The "DeepSeek Effect" purged projects that were "AI in name only" and forced the sector to optimize for "Intelligence per Joule" rather than raw parameter counts.

DeepSeek's Quiet Dominance

While Western investors panicked, DeepSeek methodically captured market share. By early 2026, the Hangzhou-based startup commands an estimated 89% market share in China and has established a dominant presence across the "Global South," offering high-intelligence API access at roughly 1/27th the price of Western competitors.

The company hasn't rested on its R1 success. DeepSeek-V3 arrived in mid-2025, followed by V3.1 in August and V3.2 in December. Internal benchmarks suggest V3.2 offers "performance equivalent to OpenAI's GPT-5."

Now, DeepSeek is preparing V4 for a mid-February 2026 release—timed, perhaps symbolically, around the Lunar New Year. Reports indicate V4 will outperform Claude and GPT in code generation and run on consumer-grade hardware: dual RTX 4090s or a single RTX 5090.

On the technical frontier, DeepSeek recently revealed "MODEL1" through updates to its FlashMLA codebase on GitHub—appearing 28 times across 114 files. The timing? The one-year anniversary of R1's release. The architecture suggests radical changes in memory optimization and computational efficiency.

A January 2026 research paper introduced "Manifold-Constrained Hyper-Connections," a training approach that DeepSeek's founder Liang Wenfeng claims could shape "the evolution of foundational models" by enabling models to scale without becoming unstable.

What the Recovery Reveals

Perhaps the most telling indicator of the AI-crypto sector's maturation is what it's building versus what it's hype.

In real-money crypto trading simulations conducted in January 2026, DeepSeek's AI turned $10,000 into $22,900—a 126% gain—through disciplined diversification. This wasn't hypothetical; it was measured against actual CoinMarketCap data.

Virtuals Protocol's January 2026 rally wasn't driven by speculation but by the launch of a decentralized AI marketplace providing "real-world use cases." Trading volume surged $1.9 billion in a single week.

The industry is closely watching inference-time scaling as "the next major battleground." While DeepSeek-V3 optimized pre-training, the focus has shifted to models that "think longer before they speak"—a paradigm that favors decentralized networks capable of supporting diverse, long-running AI agent workloads.

Lessons for Crypto Investors

The DeepSeek shock offers several lessons for navigating AI-crypto markets:

Efficiency doesn't destroy demand—it redirects it. The Jevons Paradox is real, but its benefits flow to projects positioned for the new efficiency frontier, not legacy compute aggregators.

Narratives lag reality. AI-crypto tokens crashed on the assumption that cheaper AI training meant less compute demand. The reality—that cheaper training enables more inference and broader AI adoption—took months to price in.

Utility beats speculation. Projects with real revenue from AI agent activity—tracked through "Agentic GDP"—have sustainably outperformed pure narrative plays. The shift "from speculation to utility" is now the sector's defining characteristic.

Open models win. DeepSeek's commitment to releasing models as open-weights has accelerated adoption and ecosystem development. The same dynamic favors decentralized crypto projects with transparent, permissionless access.

As one analysis noted: "You can be right about the Jevons paradox and still lose money investing in it." The key is identifying which specific projects benefit from efficiency-driven demand expansion, not just betting on the category.

What Comes Next

Looking ahead, several trends will define the AI-crypto sector in 2026:

The V4 release will test whether DeepSeek can maintain its cost-efficiency advantage while pushing toward GPT-5-class performance. Success could trigger another market recalibration.

Consumer AI agents running on RTX 5090s and Apple silicon will drive demand for decentralized inference networks optimized for edge deployment rather than cloud-scale training.

Agentic GDP tracking will become increasingly sophisticated, with on-chain analytics providing real-time visibility into which AI agent frameworks are generating actual economic activity.

Regulatory scrutiny of Chinese AI capabilities will intensify, potentially creating arbitrage opportunities for decentralized networks that can't be easily subjected to export controls or national security reviews.

The DeepSeek shock was the best thing that could have happened to AI-crypto. It purged speculation, forced a pivot to utility, and proved that efficiency improvements expand markets rather than contract them. One year later, the sector is leaner, more focused, and finally building toward the agentic economy that early believers always envisioned.

The question isn't whether AI agents will transact on-chain. It's which infrastructure they'll run on—and whether you're positioned for the answer.


BlockEden.xyz provides enterprise-grade blockchain API infrastructure for developers building AI-powered applications. As AI agents increasingly interact with blockchain networks, reliable RPC endpoints and data indexing become critical infrastructure. Explore our services to build on foundations designed for the agentic economy.

Tokenizing Security: Immunefi IMU Launch and the Future of Web3 Protection

· 8 min read
Dora Noda
Software Engineer

What if the best defense against crypto's $3.4 billion annual theft problem isn't stronger code, but paying the people who break it?

Immunefi, the platform that has prevented an estimated $25 billion in potential crypto hacks, just launched its native IMU token on January 22, 2026. The timing is deliberate. As Web3 security losses continue to climb—with North Korean hackers alone stealing $2 billion in 2025—Immunefi is betting that tokenizing security coordination could fundamentally change how the industry protects itself.

The $100 Million Security Flywheel

Since December 2020, Immunefi has quietly built the infrastructure that keeps some of crypto's largest protocols alive. The numbers tell a striking story: over $100 million paid out to ethical hackers, 650+ protocols protected, and $180 billion in user assets secured.

The platform's track record includes facilitating the largest bug bounty payouts in cryptocurrency history. In 2022, a security researcher known as satya0x received $10 million for discovering a critical vulnerability in Wormhole's cross-chain bridge. Another researcher, pwning.eth, earned $6 million for a bug in Aurora. These aren't routine software patches—they're interventions that prevented potential catastrophic losses.

Behind these payouts sits a community of over 60,000 security researchers who have submitted more than 3,000 valid vulnerability reports. Smart contract bugs account for 77.5% of total payouts ($77.97 million), followed by blockchain protocol vulnerabilities at 18.6% ($18.76 million).

Why Web3 Security Needs a Token

The IMU token represents Immunefi's attempt to solve a coordination problem that plagues decentralized security.

Traditional bug bounty programs operate as isolated islands. A researcher finds a vulnerability, reports it, gets paid, and moves on. There's no systematic incentive to build long-term relationships with protocols or to prioritize the most critical security work. Immunefi's token model aims to change this through several mechanisms:

Governance Rights: IMU holders can vote on platform upgrades, bounty program standards, and feature prioritization for Immunefi's new AI-powered security system, Magnus.

Research Incentives: Staking IMU may unlock priority access to high-value bounty programs or enhanced reward multipliers, creating a flywheel where the best researchers have economic incentives to remain active on the platform.

Protocol Alignment: Projects can integrate IMU into their own security budgets, creating continuous rather than one-time engagement with the security researcher community.

The token distribution reflects this coordination-first philosophy: 47.5% goes to ecosystem growth and community rewards, 26.5% to the team, 16% to early backers with three-year vesting, and 10% to a reserve fund.

Magnus: The AI Security Command Center

Immunefi isn't just tokenizing its existing platform. The proceeds from IMU support the rollout of Magnus, which the company describes as the first "Security OS" for the on-chain economy.

Magnus is an AI-powered security hub trained on what Immunefi claims is the industry's largest private dataset of real exploits, bug reports, and mitigations. The system analyzes each customer's security posture and attempts to predict and neutralize threats before they materialize.

This represents a shift from reactive bug bounties to proactive threat prevention. Instead of waiting for researchers to find vulnerabilities, Magnus continuously monitors protocol deployments and flags potential attack vectors. Access to premium Magnus features may require IMU staking or payment, creating direct token utility beyond governance.

The timing makes sense given 2025's security landscape. According to Chainalysis, cryptocurrency services lost $3.41 billion to exploits and theft last year. A single incident—the $1.5 billion Bybit hack attributed to North Korean actors—accounted for 44% of total annual losses. AI-related exploits surged 1,025%, mostly targeting insecure APIs and vulnerable inference setups.

The Token Launch

IMU began trading on January 22, 2026, at 2:00 PM UTC across Gate.io, Bybit, and Bitget. The public sale, conducted on CoinList in November 2025, raised approximately $5 million at $0.01337 per token, implying a fully diluted valuation of $133.7 million.

The total supply is capped at 10 billion IMU with 100% of sale tokens unlocked at the Token Generation Event. Bitget ran a Launchpool campaign offering 20 million IMU in rewards, while a CandyBomb promotion distributed an additional 3.1 million IMU to new users.

Early trading saw significant activity as the Web3 security narrative attracted attention. For context, Immunefi has raised approximately $34.5 million total across private funding rounds and the public sale—modest compared to many crypto projects, but substantial for a security-focused platform.

The Broader Security Landscape

Immunefi's token launch arrives at a critical moment for Web3 security.

The 2025 numbers paint a complex picture. While total security incidents dropped by roughly half compared to 2024 (200 incidents versus 410), total losses actually increased to $2.935 billion from $2.013 billion. This concentration of damage in fewer but larger attacks suggests that sophisticated actors—particularly state-sponsored hackers—are becoming more effective.

North Korean government hackers were the most successful crypto thieves of 2025, stealing at least $2 billion according to both Chainalysis and Elliptic. These funds support North Korea's sanctioned nuclear weapons program, adding geopolitical stakes to what might otherwise be treated as routine cybercrime.

The attack vectors are shifting too. While DeFi protocols still experience the highest volume of incidents (126 attacks causing $649 million in losses), centralized exchanges suffered the most severe financial damage. Just 22 incidents involving centralized platforms produced $1.809 billion in losses—highlighting that the industry's security vulnerabilities extend well beyond smart contracts.

Phishing emerged as the most financially devastating attack type, with three incidents alone accounting for over $1.4 billion in losses. These attacks exploit human trust rather than code vulnerabilities, suggesting that technical security improvements alone won't solve the problem.

Can Tokens Fix Security Coordination?

Immunefi's bet is that tokenization can align incentives across the security ecosystem in ways that traditional bounty programs cannot.

The logic is compelling: if security researchers hold IMU, they're economically invested in the platform's success. If protocols integrate IMU into their security budgets, they maintain ongoing relationships with the researcher community rather than one-off transactions. If AI tools like Magnus require IMU to access, the token has fundamental utility beyond speculation.

There are also legitimate questions. Will governance rights actually matter to researchers primarily motivated by bounty payouts? Can a token model avoid the speculation-driven volatility that could distract from security work? Will protocols adopt IMU when they could simply pay bounties in stablecoins or their native tokens?

The answer may depend on whether Immunefi can demonstrate that the token model produces better security outcomes than alternatives. If Magnus delivers on its promise of proactive threat detection, and if IMU-aligned researchers prove more committed than mercenary bounty hunters, the model could become a template for other infrastructure projects.

What This Means for Web3 Infrastructure

Immunefi's IMU launch represents a broader trend: critical infrastructure projects are tokenizing to build sustainable economics around public goods.

Bug bounty programs are fundamentally a coordination mechanism. Protocols need security researchers; researchers need predictable income and access to high-value targets; the ecosystem needs both to prevent the exploits that undermine trust in decentralized systems. Immunefi is attempting to formalize these relationships through token economics.

Whether this works will depend on execution. The platform has demonstrated clear product-market fit over five years of operation. The question is whether adding a token layer strengthens or complicates that foundation.

For Web3 builders, the IMU launch is worth watching regardless of investment interest. Security coordination is one of the industry's most persistent challenges, and Immunefi is running a live experiment in whether tokenization can solve it. The results will inform how other infrastructure projects—from oracle networks to data availability layers—think about sustainable economics.

The Road Ahead

Immunefi's immediate priorities include scaling Magnus deployment, expanding protocol partnerships, and building out the governance framework that gives IMU holders meaningful input into platform direction.

The longer-term vision is more ambitious: transforming security from a cost center that protocols grudgingly fund into a value-generating activity that benefits all participants. If researchers earn more through token-aligned incentives, they'll invest more effort in finding vulnerabilities. If protocols get better security outcomes, they'll increase bounty budgets. If the ecosystem becomes safer, everyone benefits.

Whether this flywheel actually spins remains to be seen. But in an industry that lost $3.4 billion to theft last year, the experiment seems worth running.


Immunefi's IMU token is now trading on major exchanges. As always, conduct your own research before participating in any token economy.

The Rise of MCP: Transforming AI and Blockchain Integration

· 9 min read
Dora Noda
Software Engineer

What started as an experimental side project at Anthropic has become the de facto standard for how AI systems talk to the outside world. And now, it's going on-chain.

The Model Context Protocol (MCP)—often called the "USB-C port for AI"—has evolved from a clever integration layer into the infrastructure backbone for autonomous AI agents that can read blockchain state, execute transactions, and operate 24/7 without human intervention. Within 14 months of its November 2024 open-source release, MCP has been adopted by OpenAI, Google DeepMind, Microsoft, and Meta AI. Now, Web3 builders are racing to extend it into crypto's most ambitious frontier: AI agents with wallets.

From Side Project to Industry Standard: The MCP Origin Story

Anthropic released MCP in November 2024 as an open standard that lets AI models—particularly large language models like Claude—connect to external data sources and tools through a unified interface. Before MCP, every AI integration required custom code. Want your AI to query a database? Build a connector. Access a blockchain RPC? Write another one. The result was a fragmented ecosystem where AI capabilities were siloed behind proprietary plugins.

MCP changed this by creating a standardized, bidirectional interface. Any AI model supporting MCP can access any MCP-compatible tool, from RESTful APIs to blockchain nodes, without custom connector code. Harrison Chase, CEO of LangChain, compared its impact to Zapier's role in democratizing workflow automation—except for AI.

By early 2025, adoption had reached critical mass. OpenAI integrated MCP across its products, including ChatGPT's desktop app. Google DeepMind built it natively into Gemini. Microsoft incorporated it across its AI offerings. The protocol had achieved something rare in tech: genuine interoperability before market fragmentation could set in.

The November 2025 specification update—marking MCP's first anniversary—introduced governance structures where community leaders and Anthropic maintainers collaborate on protocol evolution. Today, over 20 live blockchain tools use MCP to pull real-time price data, execute trades, and automate on-chain tasks.

Web3's MCP Moment: Why Blockchain Builders Care

The marriage of MCP and blockchain addresses a fundamental friction in crypto: the complexity barrier. Interacting with DeFi protocols, managing multi-chain positions, and monitoring on-chain data requires technical expertise that limits adoption. MCP offers a potential solution—AI agents that can handle this complexity natively.

Consider the implications. With MCP, an AI agent doesn't need separate plugins for Ethereum, Solana, IPFS, and other networks. It interfaces with any number of blockchain systems through a common language. One community-driven EVM MCP server already supports over 30 Ethereum Virtual Machine networks—Ethereum mainnet plus compatibles like BSC, Polygon, and Arbitrum—enabling AI agents to check token balances, read NFT metadata, call smart contract methods, send transactions, and resolve ENS domain names.

The practical applications are compelling. You could tell an AI: "If ETH/BTC swings by more than 0.5%, automatically rebalance my portfolio." The agent pulls price feeds, calls smart contracts, and places trades on your behalf. This transforms AI from passive advisor to active, 24/7 on-chain partner—seizing arbitrage opportunities, optimizing DeFi yields, or guarding portfolios against sudden market moves.

This isn't theoretical. CoinGecko now lists over 550 AI agent crypto projects with a combined market cap exceeding $4.34 billion. The infrastructure layer connecting these agents to blockchains runs increasingly on MCP.

The Emerging MCP Crypto Ecosystem

Several projects are leading the charge to decentralize and extend MCP for Web3:

DeMCP: The First Decentralized MCP Network

DeMCP positions itself as the first fully decentralized MCP network, offering SSE proxies for MCP services with Trusted Execution Environment (TEE) security and blockchain-based trust. The platform provides pay-as-you-go access to leading LLMs like GPT-4 and Claude via on-demand MCP instances, payable in stablecoins (USDT/USDC) with revenue sharing for developers.

The architecture uses stateless MCP where each API request spawns a new server instance, prioritizing isolation, scalability, and modularity. Separate tools handle exchanges, chains, and DeFi protocols independently.

However, the project illustrates the broader challenges facing MCP crypto ventures. As of early 2025, DeMCP's token had a market cap of approximately $1.62 million—and had dropped 74% within its first month. Most MCP-based projects remain in proof-of-concept stages without mature products, creating what observers call a "crisis of trust" driven by lengthy development cycles and limited practical applications.

DARK: Solana's AI + TEE Experiment

DARK emerged from the Solana ecosystem, initiated by former Marginfi co-founder Edgar Pavlovsky. The project combines MCP with TEE to create secure, low-latency on-chain AI computations. Its MCP server, powered by SendAI and hosted on Phala Cloud, provides on-chain tools for Claude AI to interact with Solana through a standardized interface.

Within a week of launch, the team deployed "Dark Forest"—an AI simulation game where AI players compete in TEE-secured environments while users participate through predictions and sponsorship. The backing developer community, MtnDAO, is among Solana's most active technical organizations, and Mtn Capital raised $5.75 million in seven days for its Futarchy-model investment organization.

DARK's circulating market cap sits around $25 million, with expectations of growth as MCP standards mature and products scale. The project demonstrates the emerging template: combine MCP for AI-blockchain communication, TEE for security and privacy, and tokens for coordination and incentives.

Phala Network: AI-Agent Ready Blockspace

Phala Network has evolved since 2020 into what it calls "AI-Agent Ready Blockspace"—a specialized blockchain environment for automated AI tasks. The project's defining feature is TEE technology that keeps AI computations private and encrypted across multiple blockchains.

Phala now offers production-ready MCP servers featuring full Substrate-based blockchain integration, TEE worker management with attestation verification, and hardware-secured execution environments supporting Intel SGX/TDX, AMD SEV, and NVIDIA H100/H200. The platform provides dedicated MCP servers for Solana and NEAR, positioning itself as infrastructure for the multi-chain AI agent future.

The Security Question: AI Agents as Attack Vectors

MCP's power comes with proportional risks. In April 2025, security researchers identified multiple outstanding vulnerabilities: prompt injection attacks, tool permissions where combining tools can exfiltrate files, and lookalike tools that can silently replace trusted ones.

More concerning is research from Anthropic itself. Investigators tested AI agents' ability to exploit smart contracts using SCONE-bench—a benchmark of 405 contracts actually exploited between 2020 and 2025. On contracts exploited after the models' knowledge cutoffs, Claude Opus 4.5, Claude Sonnet 4.5, and GPT-5 collectively developed exploits worth $4.6 million in simulation.

This cuts both ways. AI agents capable of finding and exploiting vulnerabilities could serve as autonomous security auditors—or as attack tools. The same MCP infrastructure enabling legitimate DeFi automation could power malicious agents probing for smart contract weaknesses.

Critics like Nuno Campos of LangGraph caution that current AI models don't consistently use tools effectively. Adding MCP doesn't guarantee an agent will make correct calls, and the stakes in financial applications are substantially higher than in traditional software contexts.

The Technical Integration Challenge

Despite enthusiasm, MCP promotion in crypto faces significant hurdles. Different blockchains and dApps use varying smart contract logic and data structures. A unified, standardized MCP server requires substantial development resources to handle this heterogeneity.

Consider the EVM ecosystem alone: 30+ compatible networks with distinct quirks, gas structures, and edge cases. Extend this to Move-based chains like Sui and Aptos, Solana's account model, NEAR's sharded architecture, and Cosmos's IBC protocol, and the integration complexity multiplies rapidly.

The current approach involves chain-specific MCP servers—one for Ethereum-compatible networks, another for Solana, another for NEAR—but this fragments the promise of universal AI-to-blockchain communication. True interoperability would require either deeper protocol-level standardization or an abstraction layer that handles cross-chain differences transparently.

What Comes Next

The trajectory seems clear even if the timeline remains uncertain. MCP has achieved critical mass as the standard for AI tool integration. Blockchain builders are extending it for on-chain applications. The infrastructure for AI agents with wallets—capable of autonomous trading, yield optimization, and portfolio management—is materializing.

Several developments to watch:

Protocol Evolution: MCP's governance structure now includes community maintainers working with Anthropic on specification updates. Future versions will likely address blockchain-specific requirements more directly.

Token Economics: Current MCP crypto projects struggle with the gap between token launches and product delivery. Projects that can demonstrate practical utility—not just proof-of-concept demos—may differentiate themselves as the market matures.

Security Standards: As AI agents gain real-money execution capabilities, security frameworks will need to evolve. Expect increased focus on TEE integration, formal verification of AI agent actions, and kill-switch mechanisms.

Cross-Chain Infrastructure: The ultimate prize is seamless AI agent operation across multiple blockchains. Whether through chain-specific MCP servers, abstraction layers, or new protocol-level standards, this problem must be solved for the ecosystem to scale.

The question isn't whether AI agents will operate on-chain—they already do. The question is whether the infrastructure can mature fast enough to support the ambition.


BlockEden.xyz provides enterprise-grade blockchain RPC services across multiple networks, offering the reliable infrastructure that AI agents need for consistent on-chain operations. As MCP-powered AI agents become more prevalent, stable node access becomes critical infrastructure. Explore our API marketplace for production-ready blockchain connectivity.

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Decentralizing AI: The Rise of Trustless AI Agents and the Model Context Protocol

· 8 min read
Dora Noda
Software Engineer

The AI agent economy just crossed a staggering milestone: over 550 projects, $7.7 billion in market capitalization, and daily trading volumes approaching $1.7 billion. Yet beneath these numbers lies an uncomfortable truth—most AI agents operate as black boxes, their decisions unverifiable, their data sources opaque, and their execution environments fundamentally untrusted. Enter the Model Context Protocol (MCP), Anthropic's open standard that's rapidly becoming the "USB-C for AI," and its decentralized evolution: DeMCP, the first protocol to merge trustless blockchain verification with AI agent infrastructure.

Billions Network: The $35M Identity Layer for Humans and AI Agents

· 9 min read
Dora Noda
Software Engineer

Your eyeballs are not the only way to prove you're human. While Sam Altman's World (formerly Worldcoin) has built its identity empire on iris scans and proprietary Orb devices, a quieter revolution is underway. Billions Network just raised $35 million to prove that a smartphone and a government ID can accomplish what biometric surveillance cannot: scalable, privacy-preserving verification for both humans and AI agents in a world where the line between them grows blurrier by the day.

The timing couldn't be more critical. As autonomous AI agents begin managing DeFi portfolios, executing trades, and interacting with blockchain protocols, the question "Who—or what—am I dealing with?" has become existential for crypto's future. Billions Network offers an answer that doesn't require surrendering your biometric data to a centralized database.

The KYA Revolution: From Know Your Customer to Know Your Agent

The crypto industry spent a decade arguing about KYC (Know Your Customer) requirements. Now, a more fundamental shift is underway: KYA, or "Know Your Agent."

As 2026 unfolds, the average user on a decentralized finance platform is increasingly not a human sitting behind a screen. It's an autonomous AI agent controlling its own crypto wallet, managing on-chain treasuries, and executing transactions at speeds no human could match. Under the emerging KYA standard, any AI agent interacting with institutional liquidity pools or tokenized real-world assets must verify its origin and disclose the identity of its creator or legal owner.

KYAs function like digital passports for AI—cryptographically signed credentials that prove an agent works for a real person or company and follows rules. Merchants can trust the agent won't break laws, and agents get bank-like access to buy and sell. This isn't theoretical: Visa's Trusted Agent Protocol already provides cryptographic standards for recognizing and transacting with approved AI agents, while Coinbase's x402 protocol enables seamless micropayments for machine-to-machine transactions.

But here's the problem: How do you verify the human behind an AI agent without creating a surveillance infrastructure that tracks every interaction? This is where Billions Network enters the picture.

Billions Network: Zero-Knowledge Identity Without the Dystopia

Founded by the team behind Privado ID (formerly Polygon ID) and creators of Circom—the zero-knowledge proof library powering Worldcoin, TikTok, Scroll, Aptos, and 9,000+ projects—Billions Network approaches identity verification from a fundamentally different angle than its competitors.

The process is elegantly simple: users scan their passport or government ID using the mobile app's NFC technology, which generates cryptographic proofs of authenticity without storing personal data on centralized servers. No Orb appointments. No iris scans. No biometric databases.

"I agree with Vitalik that your identity should not be tied to keys you cannot rotate," the Billions team has stated. "Furthermore, you cannot rotate your eyeballs. That persistent identifier, inescapably, is very limiting."

This philosophical difference has practical implications. Billions Network allows multiple unlinkable identities and key rotation, enhancing pseudonymity for users who need different verified identities for different contexts. World's single-ID-per-person model, while simpler, raises concerns about trackability despite its zero-knowledge protections.

The Numbers: 2 Million vs. 17 Million, But There's a Catch

On raw user numbers, Billions Network's 2 million verified users seems modest compared to World's 17 million. But the underlying technology tells a different story.

Circom, the open-source zero-knowledge library created by the Billions team, has been deployed across 9,000 sites including TikTok, HSBC, and Deutsche Bank. More than 150 million combined users interact with systems built on this technology stack. The verification infrastructure already exists—Billions Network is simply making it accessible to everyone with a smartphone.

The $35 million funding round from Polychain Capital, Coinbase Ventures, Polygon Ventures, LCV, and Bitkraft Ventures reflects institutional confidence in this approach. Deutsche Bank, HSBC, and Telefónica Tech have already tested Billions' verification in multiple proof-of-concepts, proving its scalability for enterprise use cases.

AI Agent Identity: The $7.7 Billion Market Nobody's Talking About

The AgentFi sector has exploded to a $7.7 billion market cap, with projects like Fetch.ai and Bittensor leading the charge. The sector added $10 billion in market cap in a single week during late 2025, signaling more than passing speculation.

But here's the challenge these AI agents face: they need verifiable identities to operate in regulated environments. An AI trading bot can't custody assets at a regulated exchange without some form of KYA compliance. A DeFi protocol can't accept transactions from an AI agent without knowing who bears liability if something goes wrong.

Billions Network's January 2026 launch of "Know Your Agent" directly addresses this gap. The system gives AI agents verifiable identity, clear ownership, and public accountability—all without requiring the AI's human operator to sacrifice their own privacy.

The technical implementation involves Digital Agent Passports (DAPs), lightweight tamper-proof tokens that follow five core steps: verify the agent developer, lock the agent code, capture user permission, issue the passport, and provide ongoing lookup to continuously check agent status.

The Regulatory Tailwind

Recent regulatory actions have inadvertently boosted Billions Network's positioning. Brazil's data protection authority imposed limitations on Worldcoin's iris scanning operations. Multiple European regulators have raised concerns about biometric data collection for identity verification.

Billions Network's non-biometric approach sidesteps these regulatory minefields entirely. There's no biometric data to protect, leak, or misuse. The Indian government is already in discussions to integrate Billions' system with Aadhaar, the country's national identity framework covering over a billion people.

The EU's DAC8 digital asset tax reporting directive, which went live January 1, 2026, creates additional demand for compliant identity verification that doesn't require invasive data collection. Billions' zero-knowledge approach lets users prove tax residency and identity attributes without exposing the underlying personal information.

The $BILL Token: Usage-Driven Deflation

Unlike many crypto projects that rely on inflationary tokenomics and speculation, $BILL operates on usage-driven deflation. Network fees are used to maintain tokenomics balance through automated burning mechanisms, aligning network growth with token demand dynamics.

The total supply of 10 billion BILLtokensincludesapproximately32BILL tokens includes approximately 32% reserved for community distribution. The token economy is designed around a simple premise: as more humans and AI agents use the verification network, demand for BILL increases while supply decreases through burns.

This creates an interesting dynamic in the AI agent economy. Every time an AI agent verifies its identity or a human proves their personhood, value flows through the BILL ecosystem. Given the projected explosion in AI agent transactions—Chainalysis estimates the market for agentic payments could reach \29 million across 50 million merchants—the potential transaction volume is substantial.

Beyond Worldcoin: The Cypherpunk Alternative

The Billions team has positioned their project as the "cypherpunk" alternative to Worldcoin's approach. Where World requires proprietary hardware and biometric submission, Billions requires only a phone and government ID. Where World creates a single persistent identifier tied to unchangeable biometrics, Billions allows identity flexibility and key rotation.

"Worldcoin's Orb is cool tech, but it's a logistical mess," critics have noted. "Not everyone lives near a Worldcoin Orb, so millions are left out."

The accessibility argument may prove decisive. Government-issued IDs with NFC chips are already widespread in developed nations and expanding rapidly in developing economies. No new hardware rollout is required. No appointments. No trust in a centralized biometric database.

What This Means for Web3 Builders

For developers building on blockchain infrastructure, Billions Network represents a new primitive: verifiable identity that respects privacy and works across chains. The AggLayer integration means verified identities can move seamlessly between Polygon-connected networks, reducing friction for cross-chain applications.

The AI agent identity layer opens particularly interesting possibilities. Imagine a DeFi protocol that can offer different fee tiers based on verified agent reputation, or an NFT marketplace that can prove an AI-generated artwork's provenance through verified agent identity. The composability of blockchain combined with verifiable identity creates design space that didn't exist before.

The Path Forward

The race to define Web3 identity is far from over. World has the user numbers and Sam Altman's star power. Billions has the infrastructure integration and regulatory-friendly approach. Both are betting that as AI agents proliferate, identity verification will become the most critical layer of the stack.

What's clear is that the old model—where identity meant either complete anonymity or complete surveillance—is giving way to something more nuanced. Zero-knowledge proofs allow verification without exposure. Decentralized systems allow trust without central authorities. And AI agents require all of this to function in a world that still demands accountability.

The question isn't whether identity verification will become mandatory for meaningful crypto participation. It's whether that verification will respect human privacy and autonomy, or whether we'll trade our biometrics for access to the financial system. Billions Network is betting $35 million that there's a better way.


BlockEden.xyz provides high-performance RPC and API infrastructure for privacy-focused blockchain applications. As identity layers like Billions Network integrate with major chains, our infrastructure scales to support the next generation of privacy-preserving applications. Explore our API marketplace for enterprise-grade blockchain connectivity.


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