2026-06-09 Terça

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When Technology Is No Longer a Moat, Only One Thing Remains as the Ultimate Moat in the AI Field

In the rapidly converging AI landscape, where technology and product differentiators can be copied in months, the ultimate moat for a company is no longer its product, but its organizational form. Great companies innovate in their very structure, creating new institutional models that attract, empower, and unleash a specific type of talent. Examples like OpenAI and Palantir show how unique architectures—built around frontier model development or navigating complex client systems—foster new kinds of hybrid roles that competitors cannot replicate. These organizations compete on identity and emotional resonance, not just salary. They offer talent a path to become a version of themselves they aspire to be, fulfilling core human desires: to feel unique, destined, part of exponential progress, or proven. This requires structural alignment: if customer proximity is key, client-facing roles must have high status; if speed matters, decision rights must be decentralized. For founders, the critical question is: "What kind of person can only become themselves here?" They must build a company form that matches their ambitious narrative. For job seekers, the warning is to distinguish between feeling "chosen" (emotional validation) and being "seen" (tangible power, scope, and reward). The most dangerous promise is deferred compensation. While AI makes replicating products easy, it cannot replicate a novel, high-trust organizational system that compounds judgment over time. The future will belong not to companies that merely make employees feel special, but to those that invent entirely new structures, enabling a new breed of talent to emerge and thrive.

marsbit05/09 11:05

When Technology Is No Longer a Moat, Only One Thing Remains as the Ultimate Moat in the AI Field

marsbit05/09 11:05

Crypto Traders In South Korea Face 22% Tax Starting January 2027

South Korea's five largest crypto exchanges are collaborating with the National Tax Service to implement a new 22% tax on cryptocurrency trading profits, effective January 2027. The Ministry of Economy and Finance confirmed the policy will proceed as scheduled, applying to annual profits exceeding 2.5 million won (approximately $1,800). Gains beyond this threshold will face a 20% national tax plus a 2% local income tax. The tax covers profits from transfers and lending, classified as "other income," and is estimated to affect about 13.26 million investors. Authorities are addressing concerns over tracking overseas transactions, referencing international reporting frameworks like CARF, and denying claims of double taxation with existing VAT. Separate guidelines for newer income types such as staking rewards and airdrops are still pending. The move underscores crypto's deep integration into South Korea's financial landscape, with a firm deadline now set for the long-debated tax.

bitcoinist05/09 11:02

Crypto Traders In South Korea Face 22% Tax Starting January 2027

bitcoinist05/09 11:02

No Entry Fee, Share $600,000! Zoomex Launches the World’s First Zero-Cost Trading Competition: Let Skill Be Your Only Asset

Zoomex, a leading cryptocurrency trading platform, has launched the "2026 Zero-Cost Trading Competition," featuring a $600,000 USDT prize pool. The event eliminates financial barriers by providing new users with $100-$200 in bonus funds to participate without depositing their own capital. The competition consists of an Individual Contest, where rankings are based on ROI and trading volume for a share of a $100,000 prize, and an Entertainment Zone with mystery boxes and lotteries for a $500,000 prize pool. Participants can also earn team rewards. The event runs from May 12 to June 1, 2024 (UTC), with limited spots. Zoomex emphasizes its commitment to fairness, transparency, and security, backed by regulatory licenses and security audits.

TheNewsCrypto05/09 10:44

No Entry Fee, Share $600,000! Zoomex Launches the World’s First Zero-Cost Trading Competition: Let Skill Be Your Only Asset

TheNewsCrypto05/09 10:44

Undercover in Crypto for 8 Years, 5 Jobs: The Revolution and Scam in My Eyes

"Undercover in Crypto for 8 Years, 5 Jobs: The Revolution and the Scam I Saw" In 2017, the author entered crypto believing it would revolutionize everything: replacing fiat, disintermediating finance, and shifting power to users. Eight years later, almost none of that has happened as predicted. The author worked at Circle, Messari, Coinbase, and Crossmint, witnessing the asset class grow from under $10B to over $4T, through multiple speculative bubbles and a near-systemic crisis. The journey began with the 2017-18 ICO frenzy, an "internet bubble 2.0" fueled by Ethereum. The promised "decentralized Uber" never materialized; instead, it was an era of greed, fraud, and rampant speculation where founders cashed out early. In the 2018-19 hangover, the focus shifted. The seeds of crypto's next phase were planted: stablecoins (like USDC) for borderless dollars and DeFi (decentralized finance) for rebuilding financial primitives like lending and trading on-chain. The COVID-19 pandemic and massive monetary stimulus triggered "DeFi Summer" in 2020-21. DeFi's value soared 250x to $180B, but it resembled a high-stakes game for mercenary traders with "food-themed" tokens. A new bubble formed around NFTs, with digital art selling for millions. The 2022 "crypto winter" mirrored the 2008 financial crisis. The collapse of the algorithmic stablecoin Terra (UST) triggered a chain reaction, bringing down hedge funds (Three Arrows Capital) and lending platforms (Celsius, Voyager). The final blow was the implosion of FTX and Sam Bankman-Fried, who had misused customer funds. This was crypto's "Lehman Moment." After the crash, the Biden administration's hostile regulatory crackdown under the SEC pushed innovation toward the legally safest, most absurd path: meme coins. The 2024 meme coin mania peaked at $150B before imploding. This political pressure, however, mobilized the industry. Donald Trump capitalized, promising a crypto-friendly stance, which many credit for helping him win the 2024 election. Trump's victory marked a turning point. A pro-crypto SEC chair took over, the "GENIUS Act" provided clear stablecoin rules in 2025, and institutional adoption accelerated. Circle (maker of USDC) IPO'd, and traditional giants like MoneyGram began using stablecoins for cross-border payments via firms like Crossmint. Looking back, the predicted consumer revolution (decentralized Uber) didn't happen. Instead, crypto built the plumbing for a new internet financial system. Each boom/bust cycle refined the infrastructure for global, 24/7 finance accessible to anyone online. The $300B+ stablecoin market, settling tens of trillions annually and creating demand for U.S. debt, is now a strategic U.S. priority. The future lies in convergence, not replacement. Crypto will be the backend, invisible to most users. The next frontier is integration with AI, where autonomous agents will use crypto wallets and stablecoins to transact. The result will be a global financial system equally accessible in New York or Nigeria, paving the way for countless new innovations.

marsbit05/09 10:20

Undercover in Crypto for 8 Years, 5 Jobs: The Revolution and Scam in My Eyes

marsbit05/09 10:20

AI Relay Stations: The Hidden Pitfalls Behind Low Costs, How to Screen and Avoid Them?

AI Relay Stations: The Hidden Risks Behind Low Costs and How to Avoid Pitfalls AI relay stations are becoming a popular gateway to various models, offering lower prices, a wider selection, and a unified interface for tools like Claude Code and Cursor. However, their appeal masks significant risks. Users may unknowingly surrender prompts, code, business documents, customer data, and even full project contexts. The demand is driven by genuine needs: cost savings compared to expensive official APIs (e.g., GPT, Claude), easier access amid regional restrictions, and the push from AI-powered development tools. But not everyone needs a relay station. Light users should exhaust free official quotas first. Heavy users, like developers, can adopt a layered approach, using top models for critical tasks and cheaper local models for routine work. If a relay station is necessary, follow a careful selection and usage protocol: 1. **Verify First:** Test model authenticity, latency, and stability before purchasing credits. Check the quality of provided documentation. 2. **Isolate Configuration:** Use unique API keys for each service, manage them via environment variables, and set usage limits to control costs and potential damage from leaks. 3. **Classify Your Data:** Develop a habit of data grading before sending requests. Only send non-sensitive, public information directly. Desensitize semi-sensitive data (e.g., internal documents) by removing names and specifics. Never send highly sensitive data like passwords, private keys, or confidential customer information. 4. **Handle AI Coding Tools Separately:** Tools like Cursor can send extensive project context (file contents, directory structures, error logs). Use relay stations only for independent, non-core code tasks. For sensitive projects, switch back to official APIs or local models. 5. **Monitor and Prepare an Exit:** Regularly check billing statements, follow platform updates and community feedback, and always have a backup provider. Ensure your setup uses standard OpenAI-compatible APIs for easy migration. Ultimately, relay stations are tools, not default solutions. Their value lies in solving access needs at a controlled cost, but maintaining that control requires proactive risk management through verification, isolation, data classification, and continuous monitoring.

marsbit05/09 10:16

AI Relay Stations: The Hidden Pitfalls Behind Low Costs, How to Screen and Avoid Them?

marsbit05/09 10:16

US Stock Registration Giant Acquired by Cryptocurrency Exchange, Accelerating Stock Tokenization

Bullish (NYSE: BLSH), a crypto asset trading platform, announced a $4.2 billion acquisition of Equiniti, a major Wall Street transfer agent serving nearly 3,000 public companies. This move aims to accelerate stock tokenization by securing a critical, regulated piece of financial infrastructure that maintains official shareholder records and handles dividends. The deal signals intensifying competition in the tokenization race. True "native" on-chain securities require a licensed transfer agent for legal ownership registration—a bottleneck Bullish now aims to solve. The acquisition positions Bullish to bridge traditional equity markets with blockchain, leveraging Equiniti's extensive client network and compliance credentials. This follows recent key developments: ICE (NYSE's parent) plans a new tokenized securities platform, and the SEC approved Nasdaq's tokenized stock pilot. Bullish's strategy is to establish a neutral, cross-platform infrastructure ahead of these initiatives. The combined company expects high growth from its tokenization business, targeting the vast U.S. equity market. The narrative is shifting from "crypto vs. Wall Street" to convergence, where legacy infrastructure is upgraded onto blockchain rails. The next 18 months will be crucial for observing the rollout of NYSE's platform, Bullish-Equiniti integration, and the broader adoption of tokenized securities by institutions.

marsbit05/09 09:52

US Stock Registration Giant Acquired by Cryptocurrency Exchange, Accelerating Stock Tokenization

marsbit05/09 09:52

US Stock Transfer Agent Leader Acquired by Crypto Exchange, Accelerating Stock Tokenization

Crypto exchange Bullish announces $4.2 billion acquisition of Equiniti, a major Wall Street transfer agent. This deal, occurring amidst a heated race for tokenizing traditional securities, targets the core of stock ownership records. Equiniti maintains shareholder registries for nearly 3,000 public companies, including giants like Berkshire Hathaway, handling dividends and corporate actions. The strategic move aims to bridge legacy finance with blockchain by securing the critical "system of record" needed for legally compliant, native tokenized stocks, rather than derivatives. The acquisition follows rapid 2026 developments: ICE (NYSE parent) announcing a 24/7 tokenized securities platform, SEC approving Nasdaq's tokenized stock pilot, and NYSE partnering with Securitize. Bullish, led by ex-NYSE president Tom Farley, positions itself as a neutral infrastructure player by owning Equiniti's extensive client network and regulatory licenses across multiple exchanges. The combined entity projects 20% annual growth for its tokenization business. This signals a convergence of crypto and traditional finance, where control over foundational infrastructure like transfer agencies will define the next era of capital markets, enabling real-time settlement, fractional trading with stablecoins, and global accessibility.

链捕手05/09 09:44

US Stock Transfer Agent Leader Acquired by Crypto Exchange, Accelerating Stock Tokenization

链捕手05/09 09:44

Plummeting Around 12%, Duan Yongping's Bottom-Fishing CoreWeave Turns into a Fierce Battlefield Between Bulls and Bears

On May 8th, AI cloud computing provider CoreWeave (CRWV) plunged 11.4% following its Q1 2026 earnings report, intensifying the polarized market view on the stock. While revenue doubled year-over-year to $2.08B and its Remaining Performance Obligations (RPO) surged to nearly $100B, its net loss also widened to $740M. The key trigger was a weaker-than-expected Q2 revenue forecast, coupled with rising costs that compressed adjusted operating margin to just 1%. The bull thesis centers on CoreWeave's massive order backlog, deep strategic ties with NVIDIA as a key customer and investor, and client diversification with major names like Anthropic and Meta. Supporters point to its 'hyperscale' status and over $20B in recent financing. Bears highlight the "growth at all costs" model: despite soaring revenue, losses are expanding, capital expenditures are massive (~$6.8B in Q1), and total debt has ballooned to around $25B. Significant insider selling by executives adds to skepticism. This contrast is embodied by investor Duan Yongping (known as "China's Buffett"), who initiated a small, exploratory position (~0.12% of his portfolio) in Q4 2025 near the stock's lows, viewing it as a speculative bet on the AI infrastructure chain. The upcoming Q2 report is seen as a critical test for management's promise of a profit margin rebound. CoreWeave remains a battleground stock where long-term narrative clashes with near-term financial reality.

marsbit05/09 09:15

Plummeting Around 12%, Duan Yongping's Bottom-Fishing CoreWeave Turns into a Fierce Battlefield Between Bulls and Bears

marsbit05/09 09:15

Crypto Security Fears Rise As Chaos Labs Reveals Attempted Advanced Wallet Attack

Chaos Labs disclosed a sophisticated attempted hack targeting its operational wallets over a weekend, prompting several crypto firms to switch oracle providers. Borrowing platform Tydro, Solv Protocol, and Kelp DAO are among those migrating to Chainlink's oracle infrastructure, signaling a broader shift in confidence. Chaos Labs founder Omer Goldberg stated the attack was contained to routine operational wallets and that the core Chaos Oracle Network was not breached. The company rotated all keys and detected no further suspicious activity. Cyber professionals informed Chaos Labs that the methods were consistent with a nation-state attack, though no specific country was named. This incident occurs amid a difficult month for crypto security, including the high-profile Kelp DAO exploit in April.

bitcoinist05/09 09:04

Crypto Security Fears Rise As Chaos Labs Reveals Attempted Advanced Wallet Attack

bitcoinist05/09 09:04

Smart Money Hoards $40 Billion in Cash, Retail Bets $2.6 Trillion on Calls: The Critical Moment of the US Stock Market's AI Narrative

Title: Smart Money Hoards $40 Billion in Cash, Retail Traders Bet $2.6 Trillion on Call Options: The Tipping Point for the AI Narrative in U.S. Stocks The U.S. stock market is experiencing a striking divergence. While the S&P 500 hits new highs, the financial sector is down 6% year-to-date, underperforming more than during the 2008 and COVID crises. In contrast, a record $2.6 trillion in S&P 500 call options traded in a single day, and the Philadelphia Semiconductor Index RSI is at its highest since 1999. This reflects a clear split: "smart money" is retreating while retail traders chase gains. Key data points highlight this critical juncture in the AI-driven rally: 1. SoftBank had to cut its $10 billion loan target against its OpenAI stake to $6 billion, as lenders questioned the valuation of the private AI giant, signaling primary market skepticism. 2. The explosive $2.6 trillion daily options volume, with 60% being calls, is described by a Goldman Sachs partner as a "semi-irrational chase," drawing parallels to the 1999 tech bubble. 3. The financial sector's severe underperformance relative to the S&P 500 is a classic technical warning signal, indicating potential underlying economic stress. 4. Apollo Global Management, despite strong earnings, is building a $40 billion cash buffer in its insurance business, preparing for what its CEO calls a 30-35% probability of an exogenous shock from geopolitics, inflation, and AI's economic disruption. 5. Consumer behavior mirrors this split: while Whirlpool plunged on a worsening macro outlook for big-ticket items, DoorDash rose on strong demand for small, immediate services. Together, these conflicting signals from primary markets, secondary markets, leading sectors, and top institutions suggest market risk premia have compressed to a precarious level. The current price action may be increasingly reliant on speculative sentiment rather than fundamental support, marking a potential tipping point for the AI investment narrative.

marsbit05/09 07:40

Smart Money Hoards $40 Billion in Cash, Retail Bets $2.6 Trillion on Calls: The Critical Moment of the US Stock Market's AI Narrative

marsbit05/09 07:40

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