2026-06-09 Terça

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Crypto Wealth Ranking Unveiled: Satoshi Nakamoto Seals Divinity with $89 Billion, Yet Some Can't Access a Single Penny

Arkham's 2026 On-Chain Wealth Ranking reveals the fortunes and pitfalls of the crypto world. Satoshi Nakamoto leads with an estimated $89 billion in dormant Bitcoin, a mythical founder whose untouched assets underpin market faith. The active player Justin Sun follows with $1.5 billion in diverse assets, contrasting sharply with those who've lost access: James Howells, who threw away a hard drive holding $650M in BTC; Rain Lohmus, locked out of $589M in ETH; and Stefan Thomas, down to his last two password attempts for a $569M wallet. Other notable figures include Ethereum's Vitalik Buterin ($533M), seen as an idealist; Chinese veteran miner DiscusFish ($213M); POAP founder Patricio Worthalter ($149M); and trader James Fickel, who, despite holding 49k ETH, once lost $43M on a trade. The list highlights key trends: vast wealth often stems from early holding, private key security is paramount, and on-chain assets bring unprecedented transparency. Ultimately, it's a snapshot of crypto history where immense fortune and permanent loss are separated only by a private key.

marsbit05/10 05:23

Crypto Wealth Ranking Unveiled: Satoshi Nakamoto Seals Divinity with $89 Billion, Yet Some Can't Access a Single Penny

marsbit05/10 05:23

The Next Generation of Payments Lies Not in the Payment Layer

The Next-Generation of Payment is Not in the Payment Layer This is the second piece in a series analyzing Stripe's AI strategy. The series stems from Stripe's vision of becoming the economic infrastructure for the AI Agent era, announced at Stripe Sessions 2026. A key debate centers on whether Know Your Agent (KYA) is merely an upgrade to existing payment systems. The author argues the opposite: payment will become a subsystem of KYA, not the other way around. Historically, major payment innovations (online banking, mobile wallets, QR codes) emerged from new transaction scenarios that broke the underlying assumptions of old systems, not from optimization within the payment layer itself. Agent economy is that new scenario, and KYA is the foundational infrastructure growing to support it. KYA's proposed five layers—Agent Identity, Authorization Scope, Intent Signing, Liability Chain Auditing, and Credit Rating—extend far beyond payments. Only authorization and auditing directly touch the payment链路. Identity, intent, and credit layers serve broader needs like cross-platform calls, AI alignment, and permission management. Stripe's strategic moves validate this view. Its focus on "economic infrastructure for AI," investments in protocols like Agentic Commerce Protocol (an identity/session protocol), Shared Payment Tokens, stablecoin infrastructure, embedded wallets, and its own Tempo blockchain for settlement, all point to building the KYA layer, not just optimizing payments. Data shows the core challenge in AI commerce has shifted upstream: determining "who this is, what they intend to do, and if they deserve resources" happens long before checkout. This is why Stripe is moving its Radar fraud prevention from the transaction moment to the entire user lifecycle—a KYA-layer concern. Legally, ultimate responsibility will still fall on a human, as laws like AB 316 dictate. However, in a distributed,网状 liability chain involving users, Agent platforms, model providers, and payment protocols, KYA's role is to use cryptography to make every entity's actions and roles verifiable and traceable. This enables accountability where it was previously impossible to pinpoint evidence, fundamentally changing责任追溯, not just payment efficiency. The next-generation payment形态 will not be designed within the payment layer. It will emerge from the Agent economy scenario after the KYA infrastructure is established.

marsbit05/10 03:16

The Next Generation of Payments Lies Not in the Payment Layer

marsbit05/10 03:16

Tom Lee's 2026 Investment Core Thesis: Companies Selling Scarce Assets Are Crushing the Market

Tom Lee, founder of Fundstrat, identifies "scarcity" as the key investment theme for 2026. He argues companies selling scarce assets—those with structurally constrained supply and explosively growing demand—are outperforming the market due to strong pricing power. He highlights three primary areas: 1) AI compute (e.g., NVIDIA, AMD), constrained by advanced chip manufacturing capacity; 2) AI memory/HBM (e.g., Micron), with complex production and limited supply; and 3) Energy infrastructure (e.g., GE Vernova), facing long lead times to meet soaring data center power needs. Lee provides a macro trading framework: peaking oil prices signal reduced inflationary pressure, potentially allowing Fed rate cuts, which benefits growth assets like the S&P 500 and tech stocks. He notes exceptionally strong corporate earnings, driven by AI productivity gains, and maintains a bullish year-end S&P 500 target of 7700, expecting a mid-year "feel-like" bear market correction to be a buying opportunity for scarce assets. The top investment priorities are: 1) Global labor scarcity combined with AI adoption, and 2) Cybersecurity and energy security. The core logic is that AI-driven demand, met with physically constrained supply, creates lasting pricing power and excess returns for companies controlling scarce resources.

marsbit05/10 03:13

Tom Lee's 2026 Investment Core Thesis: Companies Selling Scarce Assets Are Crushing the Market

marsbit05/10 03:13

The Next Generation of Payments Is Not in the Payment Layer

The next generation of payments won't be designed within the payment layer itself. This article argues that historical payment innovations (e.g., online banking, mobile wallets) emerged from new transactional scenarios, not from optimizing existing payment systems. The new scenario is the Agent economy. Know Your Agent (KYA) is not merely a payment-layer upgrade for efficiency. It is the foundational infrastructure layer for the Agent economy. KYA’s five layers—Agent identity, authorization scope, intent signature, accountability chain audit, and credit rating—primarily serve broader needs like cross-platform identification, AI alignment, and permission management. Payment is just one application built on top of this KYA foundation. Stripe’s strategy exemplifies this shift. Its focus on "economic infrastructure for AI," investments in protocols like the Agentic Commerce Protocol (identity/session layer), stablecoin infrastructure, embedded wallets, and moving risk management (Radar) to the user lifecycle all indicate it is building the KYA layer, not just optimizing payments. While ultimate legal liability remains with a human (as laws like AB 316 stipulate), KYA enables traceability in a distributed,网状 responsibility chain involving multiple entities (user, Agent platform, model provider, etc.). It makes accountability verifiable where previously it was opaque. The conclusion: A new class of economic actors (Agents) forces a new infrastructure layer (KYA) to emerge. This layer redefines identity, authorization, and accountability. On top of it, the next generation of payment will reorganize and emerge from the demands of the scenario, not from within the traditional payment system.

链捕手05/10 03:10

The Next Generation of Payments Is Not in the Payment Layer

链捕手05/10 03:10

The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

'The Big Short' Legend Michael Burry Doubles Down on AI Bet: Shorts Nvidia, Buys Beaten-Down Software Stocks As the Nasdaq hits record highs and Nvidia's market cap nears $5.3 trillion, Michael Burry—famed for his 2008 subprime mortgage bet—is making a major contrarian move. He is significantly expanding his bearish wagers against the AI frenzy while buying traditional software stocks he believes have been unfairly punished. Burry's latest portfolio adjustments, revealed in his Substack column, include maintaining and increasing put options on Nvidia and Palantir. He has also initiated new short positions on Palantir and expanded bearish bets on the semiconductor ETF (SOXX), the Nasdaq 100 ETF (QQQ), and Oracle. Simultaneously, he is buying shares of software companies like Adobe, Autodesk, Salesforce, and Veeva Systems. He argues these stocks have been sold off due to "AI disruption" fears and technical selling pressure from private credit funds, not deteriorating fundamentals. Their valuations have fallen to multi-year lows. This creates a complete hedge: short the perceived "AI winners" and long the oversold "AI losers." Burry believes the current AI infrastructure spending boom mirrors the late-1990s internet bubble, with inflated demand projections and questionable accounting practices by large cloud customers extending GPU depreciation schedules. While his Palantir short is currently profitable, his Nvidia put options are deeply underwater as the stock trades near all-time highs. Burry remains steadfast, comparing Nvidia to Cisco during the dot-com era. He anticipates a broad repricing of the AI bubble, where overvalued beneficiaries fall and unfairly battered companies rebound.

marsbit05/10 03:06

The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

marsbit05/10 03:06

Tom Lee's Core Investment Logic for 2026: Companies Selling Scarce Assets Are Crushing the Market

Tom Lee, founder of Fundstrat and manager of the Granny Shots fund, argues "scarcity" is the core investment theme for 2026. His thesis states companies selling "scarce assets"—products or services with structurally constrained supply and explosively growing demand—are dominating the market due to strong pricing power. He identifies three key scarcity areas: 1) AI compute (e.g., NVIDIA, AMD), limited by advanced chip manufacturing capacity; 2) AI memory/HBM (e.g., Micron), facing complex production challenges; and 3) energy infrastructure (e.g., GE Vernova), with long lead times for equipment needed to power booming data centers. Lee provides a macro trading framework: peaking oil prices signal lower inflation and potential Fed rate cuts, which benefit growth assets like the S&P 500 and Magnificent 7 stocks. Despite the S&P reaching his initial 7300 target, he sees a potential "feel-like-a-bear-market" mid-year pullback as a buying opportunity, raising his year-end target to 7700. Investment themes are prioritized as: 1) Global labor scarcity + AI automation, 2) Cybersecurity + energy security. The conclusion is that identifying companies benefiting from fundamental supply-demand imbalances, not just chasing rallies, is the path to outperformance in 2026.

链捕手05/10 03:05

Tom Lee's Core Investment Logic for 2026: Companies Selling Scarce Assets Are Crushing the Market

链捕手05/10 03:05

The Night Before the AI Model Shakeout

China's large language model (LLM) industry is entering a critical consolidation phase. In a concentrated wave of funding in May 2026, leading players Kimi, StepFun, and DeepSeek reportedly secured over $70 billion combined, signaling a dramatic capital rush towards the few remaining independent contenders. This frenzy masks an impending shakeout. The core dynamic has shifted from a pure technology race to a battle for survival and strategic positioning. LLM capabilities are rapidly commoditized; gaps between top models are narrowing. Consequently, investment logic has pivoted from betting on future potential to prioritizing cash flow, user access, and ecosystem integration. The economic model poses a fundamental challenge: while user growth previously meant profits, in the AI era, it drives soaring inference costs. Startups, lacking the cross-subsidy ability of tech giants like ByteDance or Tencent, face immense pressure to achieve financial sustainability. DeepSeek's open-source, high-performance, low-cost strategy has further compressed industry profit margins. Facing this reality, the top players are scrambling to lock in their status before the window closes. StepFun is accelerating its港股 IPO, embedding itself in hardware supply chains. Kimi is aggressively showcasing revenue growth (ARR doubling to $2 billion in a month) to prove viability. DeepSeek, with new state-backed investment, is solidifying its role as a strategic national asset. The parallel to China's previous AI "Four Dragons" is stark. The industry is witnessing extreme capital concentration at the top, while mid-tier companies face a funding winter. The narrative has evolved from "who can build the best model" to "who can survive." For independent LLM companies, securing a public listing or a definitive strategic identity is no longer about expansion—it's about securing the very right to exist in the impending era of industry clearance.

marsbit05/10 02:05

The Night Before the AI Model Shakeout

marsbit05/10 02:05

TACO Is Outdated, Wall Street Is Betting Heavily on NACHO

The article discusses a shift on Wall Street from the "TACO" (Trump Always Chickens Out) trading theme to a new one called "NACHO" (Not A Chance Hormuz Opens). This change reflects the market's adaptation to a prolonged closure of the Strait of Hormuz following U.S.-Israel airstrikes on Iran in late February. Unlike TACO, which bet on former President Trump de-escalating crises, NACHO bets on a protracted stalemate keeping the vital oil chokepoint shut. Key evidence for the NACHO regime includes a fundamental decoupling of oil prices and the S&P 500 since late March. While Brent crude has remained elevated (around $109 in May), the stock index has rallied to new highs. The market is pricing in a long but finite period of high oil prices, as seen in the steep futures curve. This theme is backed by real money in three derivatives markets: soaring war risk insurance for ships, an inverted oil futures structure, and evaporating expectations for Federal Reserve rate cuts in 2026. Within the equity market, the NACHO dynamic has caused a sharp divergence, with the energy sector (XLE) vastly outperforming the transportation sector (IYT), which is highly sensitive to fuel costs. The article notes a concrete deadline for this trade: early June. Analysts warn that global commercial oil inventories could approach critical "operational pressure" levels by then, potentially triggering more severe market disruptions if the Strait remains closed. Prediction markets currently assign a very low probability to the Strait reopening normally before June.

marsbit05/10 01:32

TACO Is Outdated, Wall Street Is Betting Heavily on NACHO

marsbit05/10 01:32

Survey of 81,000 Claude Users: 20% of Respondents Worry About Unemployment

Survey of 81,000 Claude Users: 20% Fear Job Loss A report by Anthropic surveying 81,000 Claude users reveals the complex impact of AI on work. Key findings show that 20% of respondents worry about AI-induced job loss, with anxiety strongest among early-career professionals and those in roles with high "observed exposure" to AI tasks, like software engineering. While most users report significant productivity gains—averaging 5.1 on a 7-point scale—the benefits are uneven. High-income professionals and, notably, some lower-income workers experience the largest boosts. The primary gains come from expanding work scope (48%)—enabling new tasks—and increasing speed (40%). Paradoxically, those who benefit most from AI, especially when it drastically speeds up work, express the greatest anxiety about their job security. Most users feel the productivity gains accrue to themselves, though 10% believe the benefits are captured by employers or clients. The report concludes that AI is demonstrably empowering users by unlocking new capabilities, but this does not alleviate the pervasive economic anxiety, particularly among those who best understand AI's potential. The study acknowledges limitations, including its sample of active Claude users, but highlights that the concerns of over 80,000 individuals are a significant signal.

marsbit05/10 01:11

Survey of 81,000 Claude Users: 20% of Respondents Worry About Unemployment

marsbit05/10 01:11

How Significant a Variable Will the CLARITY Act Be for the 2026 Midterm Elections?

Title: "The CLARITY Act" as a New Variable in the 2026 Midterm Elections Encryption regulation is emerging as a new variable in the 2026 U.S. midterm elections. According to a HarrisX survey, a bipartisan majority of registered voters supports the U.S. maintaining leadership in digital finance and the passage of the CLARITY Act. This legislation aims to define regulatory boundaries between the SEC and CFTC for digital assets, establish registration rules for exchanges and custodians, and enhance consumer protection. Political impact is significant: 37% of voters said they would be more inclined to support a senator who votes for the bill, resulting in a net electoral gain of +20 percentage points. Notably, 47% of voters indicated they would consider voting for a candidate outside their preferred party if that candidate supports the CLARITY Act while their own party does not. This cross-party appeal is even stronger among cryptocurrency holders and voters familiar with digital assets. The survey found that while general awareness of digital assets is limited, there is strong, bipartisan voter demand for clear federal rules. 70% of voters believe the U.S. should have passed clear crypto legislation already, and 62% deem it important for the U.S. to set global digital finance rules. Concerns about national security and the offshore concentration of crypto exchanges (8 of the top 10 are headquartered outside the U.S.) further drive support for federal action. Currently, 52% of voters support the CLARITY Act after hearing a neutral description, versus 11% opposed. Support is bipartisan, with net approval rates of +48 among Republicans, +43 among Democrats, and +32 among independents. The findings suggest that for candidates, supporting the CLARITY Act is a net political positive, offering a pathway to engage young voters, crypto holders, and swing voters. The core question in crypto regulation for U.S. politics is shifting from "whether to regulate" to "who can mobilize votes with it."

marsbit05/10 01:08

How Significant a Variable Will the CLARITY Act Be for the 2026 Midterm Elections?

marsbit05/10 01:08

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