Huobi's Weekly News(3.20-3.26)

HTX NewsPublicado em 2023-03-27Última atualização em 2023-03-27

Resumo

The Breaking News Last Week and Preview of This Week's News

The breaking news of last week:

Bull News of Last Week

1. Key Word: Credit Suisse, Liquidity

UBS agreed to buy rival Swiss bank Credit Suisse for 3 billion Swiss francs ($3.23 billion) and agreed to assume up to $5.4 billion in losses, in a shotgun merger engineered by Swiss authorities to avoid further market-shaking turmoil in global banking.

2. Key Word: Russian State Duma, Central Bank Digital Currencies

According to local media reports, the Russian State Duma approved draft laws establishing a system to issue and regulate central bank digital currencies (CBDC) in a first reading on March 16.

Additionally, the Parliament approved the first reading of a bill that makes changes to the Russian Civil Code and defines the digital ruble as “non-cash money.” It also establishes rules around wallet agreements and the inheritance of digital currency.

3. Key Word: Fed Policymakers, Raise Interest

WSJ: The Federal Reserve approved another quarter-percentage-point interest-rate increase but signaled that banking-system turmoil might end its rate-rise campaign sooner than seemed likely two weeks ago.

4. Key Word: BTC futures contracts, Yearly High

The dollar value locked in the number of open bitcoin (BTC) futures contracts is rising, signifying increased speculative interest in the market and potential for price volatility.

Data from Coinglass shows the nominal value of open interest has reached a yearly high of $12 billion, marking a 7% gain for the month.

5. Key Word: Warren Buffett, Banking Crisis

Berkshire Hathaway Inc.’s Warren Buffett has been in touch with senior officials in President Joe Biden’s administration in recent days as the regional banking crisis unfolds.

There have been multiple conversations between Biden’s team and Buffett in the past week, according to people familiar with the matter, who asked not to be identified because the information is private.

6. Key Word: ARB, Airdrop

Arbitrum’s token airdrop started off in a frenzy that broke multiple websites, and yet more than 428 million ARB tokens are left to be claimed, according to blockchain analytics firm Nansen.

7. Key Word: ARB, Airdrop

Arbitrum, a layer-2 scaling solution for Ethereum, announced the airdrop of its ARB governance token on March 16, with eligible receivers expected to get the token by March 23. The hype around its airdrop has now helped another layer-2 solution, zkSync, to see significant week-over-week growth.

According to data from crypto on-chain analytic firm Nansen, more than 39,000 addresses have bridged over $871 million to zkSync in the last seven days. The number of addresses bridging to zkSync has swelled by 5x in the last week.

Bear News of Last Week

8. Key Word: Crypto ads, Belgium

Crypto ads in Belgium must be accurate and warn investors of the risks under new laws announced by the country’s financial regulator Monday.

Powers published in Belgium’s Official Gazette on Friday mean any mass-media campaign to promote a digital currency would have to be submitted to the Financial Services and Markets Authority (FSMA) 10 days in advance, allowing the regulator to intervene if needed.

9. Key Word: IRS, Tax NFTs

The IRS plans to tax some NFTs as collectibles — and the rich would pay up to 28% on profits. The IRS plans to tax non-fungible tokens as collectibles, the agency said in a notice Monday. Collectibles carry a top long-term capital gains rate of 28%.

10.Key Word: US Prosecutors,Banking System, Regulation

US prosecutors on Thursday announced eight charges against Kwon, including securities fraud, wire fraud, commodities fraud and conspiracy. Kwon, 31, was arrested in Montenegro earlier on Thursday along with another South Korean citizen, the European country's interior ministry said.

10. Key Word: South Korea Prosecutors,Do Kwon

South Korea prosecutors say Serbia ready to help fraud investigation into Terra’s Do Kwon

Prosecutors flew to Serbia earlier this month as part of an investigation into Terraform Labs chief Do Kwon, who faces fraud accusations related to the US$40 billion collapse of his Terra-Luna cryptocurrency project in May last year.

Events coming in this week

1. EOS EVM will launch the final testnet on March 27;

2. The US House of Representatives panel plans to hold its first hearing on the collapse of SVB and Signature on March 29;

3. Twitter will open source all the code used for tweet recommendation on March 31;

4. Russia's digital ruble will launch consumer pilot on April 1.

Leituras Relacionadas

Just Now, Anthropic Unveils Physical MCP: Claude Begins Controlling the Real World

Anthropic has announced the Model Hardware Standard (MHS), a new standard enabling AI agents like Claude to safely control physical devices. Building on the Model Context Protocol (MCP), MHS standardizes communication between AI agents and hardware such as microscopes, robotic arms, and lasers, marking a significant step for AI from the digital into the physical world. Developed in collaboration with HHMI Janelia Research Campus, MHS uses standardized drivers to translate basic commands (e.g., read, write) into a format any programmable device can understand. This drastically reduces integration time from weeks to hours or minutes and allows agents to discover and operate new devices using natural language tags that describe machine properties and safety limits. Agents can control devices via MCP, command-line interfaces, or APIs. They can sequence operations, monitor results, adjust parameters in real-time, and generate deterministic scripts for long-running tasks. Early tests show Claude interacting with hardware exploratively, like a scientist, learning to calibrate a laser and scripting the process. Early adopters and partners include AWS, Automata, Danaher, Doosan Robotics, and Tecan, who are integrating MHS support into their platforms. While promising, challenges remain: Claude's physical reasoning is limited, requiring expert oversight, and MHS currently only works with programmable hardware. Anthropic plans further refinements and broader device support before open-sourcing the standard.

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Just Now, Anthropic Unveils Physical MCP: Claude Begins Controlling the Real World

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History's Only Asset with a 100% Win Rate After 4 Years of Holding

**Title: The Only Asset with a 100% Win Rate Over Any 4-Year Holding Period** This article analyzes which major, freely-tradable assets have historically never produced a nominal loss over any rolling 4-year holding window. It concludes that only two distinct categories achieve this: ultra-low-risk contractual assets and Bitcoin. Among traditional risk assets, none maintain a perfect 4-year record. The S&P 500 had negative 4-year periods (e.g., 1929-1932: -64.8%). The Nasdaq 100 fell roughly 60% from 2000-2003. Gold saw a ~47.7% loss from 1981-1984. US real estate declined about 23.3% from 2007-2010. Even long-term US Treasury bonds (e.g., 2021-2024: -19.8%) and corporate bonds can produce 4-year losses due to interest rate and market price risks. In contrast, the first category achieving 100% nominal success includes assets like rolling 3-month US Treasury Bills, 4-year certificates of deposit (CDs), and US Treasuries held to maturity within 4 years. Their "guarantee" stems from contractual obligations and credit backing (e.g., FDIC insurance, US sovereign promise), not price appreciation. The sole exception in the high-risk category is Bitcoin. Analysis of daily data from 2010-2026 across 4,419 rolling 4-year windows shows a 100% positive return rate. The worst 4-year period (April 2021 to April 2025) still yielded a +32.6% total return (~7.3% CAGR). This record is unique because Bitcoin has no issuer, promises no cash flows, and has endured severe drawdowns (70-90%), yet its market price has always recovered within a 4-year span. The key distinction is the source of the "100%": contractual assets offer known, low nominal returns, while Bitcoin's record stems purely from historical price appreciation despite extreme volatility. The article suggests that for Bitcoin, the ability to hold for 4+ years is more critical than active trading strategies.

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History's Only Asset with a 100% Win Rate After 4 Years of Holding

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How One Article Moved 45 Billion: The Collapse of a 25-Year-Old 'AI Stock Guru'

This article details the dramatic rise and near-collapse of a hedge fund built by Leopold Aschenbrenner, a 24-year-old former OpenAI researcher. The fund, named Situational Awareness, amassed $45 billion in assets within two years. Its explosive growth stemmed from Aschenbrenner's influential 165-page manifesto predicting AGI's arrival by 2027 and his high-profile Silicon Valley connections. The fund employed an extremely aggressive strategy: high concentration and 400% leverage to bet long on AI infrastructure stocks while shorting legacy software firms. In July, this structure backfired when both sides of the trade reversed simultaneously—AI stocks plunged while shorted stocks rallied—triggering massive losses that nearly wiped out all equity. Major player Jane Street reportedly lost billions. The fund's leveraged public portfolio was ultimately sold at a discount to Citadel. The SEC is now investigating banks like Goldman Sachs for their role in facilitating the fund's high-leverage trades. The article compares this to past blow-ups like Archegos, highlighting systemic failures in risk management where the pursuit of short-term profits overrode due diligence. It questions whether such risky leverage concentrated in the AI sector, currently at record highs, poses a broader systemic threat. Ironically, Aschenbrenner, who studied AI safety at OpenAI, designed a fund structure prone to uncontrolled failure. Days after the crisis, he reportedly raised another $400 million for new investments.

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How One Article Moved 45 Billion: The Collapse of a 25-Year-Old 'AI Stock Guru'

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AI Accelerates Everything: Mathematics's Line of Defense Has Fallen, Physics is Already in AI's Crosshairs

This summer, the mathematics community was shaken as OpenAI's Astra model reportedly solved 10 long-standing open problems, and Claude Fable 5 found a potential counterexample to the Jacobian conjecture. This was followed by a major shift in physics: renowned physicist Gavin E. Crooks presented an open problem in stochastic thermodynamics to Claude, which the AI solved completely in days—a task that might take a skilled graduate student months. The problem concerned constraints on entropy production statistics under the Detailed Fluctuation Theorem (DFT), a core concept in non-equilibrium physics. Claude provided a unifying geometric answer: all possible DFT-compatible distributions correspond to a convex "moment body." Its key insight was that for a fixed "gap," the distribution is uniquely determined, making any general DFT distribution a mixture of these basic two-outcome distributions. This structure implies that for given lower-order moments, the nth moment only has a sharp lower bound, with no upper bound. Claude demonstrated that numerous previously published bounds on entropy production are merely low-dimensional projections or "shadows" of this single, unified convex body. The AI-authored paper offers a complete hierarchical characterization of the moment constraints. This case signifies a potential paradigm shift: AI is progressing from solving known problems to aiding in the exploration of fundamental, unsolved scientific questions, heralding an AI-accelerated era for physics.

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AI Accelerates Everything: Mathematics's Line of Defense Has Fallen, Physics is Already in AI's Crosshairs

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