Huobi's Weekly News(3.20-3.26)

HTX NewsОпубліковано о 2023-03-27Востаннє оновлено о 2023-03-27

Анотація

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.

Пов'язані матеріали

Without It, There Would Be No ImageNet... Now It's Gone

Amazon is shutting down its crowdsourcing platform, Mechanical Turk (MTurk), on September 30th, ending a 21-year run. Launched in 2005, MTurk connected businesses with a global online workforce to perform small, repetitive tasks—known as Human Intelligence Tasks (HITs)—that were easy for humans but difficult for computers at the time. At its peak, it hosted over 500,000 workers worldwide. MTurk played a pivotal, though often unseen, role in the rise of modern AI. Its most famous contribution was to the creation of the ImageNet dataset. In the late 2000s, researcher Fei-Fei Li and her team faced the monumental challenge of manually sorting and labeling millions of internet images to build a large-scale visual database for training AI. They turned to MTurk, distributing the work to nearly 50,000 workers from 167 countries. This "human-in-the-loop" effort made the massive ImageNet project feasible. ImageNet, in turn, became the foundational benchmark for the 2012 ImageNet Large Scale Visual Recognition Challenge. The victory of Geoffrey Hinton and his students' deep convolutional neural network, AlexNet, on this dataset dramatically demonstrated the power of deep learning, catalyzing the AI revolution that followed. Now, MTurk is closing. The platform has declined as the very AI it helped build has become capable of automating the simple tasks it once provided. Furthermore, the AI industry's data needs have evolved, shifting towards more specialized expertise for model tuning and evaluation, served by newer platforms. Ironically, some studies suggest MTurk workers themselves began using AI tools like ChatGPT to complete tasks, adding a layer of automation to the "artificial artificial intelligence" service. The shutdown marks the end of an era where human effort, distributed globally via the internet, laid the crucial groundwork for the intelligent machines of today.

marsbit14 хв тому

Without It, There Would Be No ImageNet... Now It's Gone

marsbit14 хв тому

Bill Gates' Latest Long-Form Article: The Real Trouble with AI is That We Aren't Ready

Bill Gates' latest essay, "The turbulent AI era is here. The choices we make now are critical," warns that society is unprepared for the profound social and economic transition AI will bring. While optimistic about AI's long-term potential in healthcare, education, and other fields, Gates focuses on the "transition period" over the next 10-20 years. He argues this transition differs from past technological shifts like the Industrial Revolution because AI automates cognitive labor itself, potentially reducing the total number of future jobs. Risks like enhanced cyber-attacks and social disruption are already emerging, not distant future threats. A key concern is "low-cost intelligence substitution," where AI performs defined tasks cheaper than humans, gradually thinning workforces. Gates introduces the concept of "Human Reserved" jobs—roles like nursing or delivering serious medical news—where human judgment and empathy should remain central, even if AI is technically capable. To manage the transition, he calls for new governance, stronger social safety nets, retraining, and international cooperation, especially between the US and China. Crucially, he proposes taxing AI usage and robots to slow displacement and fund social programs. The core dilemma Gates presents is that AI could become humanity's "greatest equalizer" or its "worst source of injustice," depending on whether its immense productivity gains are broadly shared or concentrate wealth and power. The fundamental challenge is not just advancing the technology, but adapting our social and economic systems to it.

marsbit29 хв тому

Bill Gates' Latest Long-Form Article: The Real Trouble with AI is That We Aren't Ready

marsbit29 хв тому

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.

marsbit1 год тому

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

marsbit1 год тому

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.

marsbit1 год тому

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

marsbit1 год тому

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.

marsbit1 год тому

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

marsbit1 год тому

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