51 Billion SHIB Shoveled by Whales Following Massive Buying Spree on Market

u.todayPubblicato 2022-03-22Pubblicato ultima volta 2022-03-22

Introduzione

According to data from WhaleStats, the fourth biggest wallet on the Ethereum blockchain, purchased 51.4 billion Shiba Inu tokens, which puts the memecurrency's total USD holdings at $1.19 billion.

According to data from WhaleStats, the fourth biggest wallet on the Ethereum blockchain, purchased 51.4 billion Shiba Inu tokens, which puts the memecurrency's total USD holdings at $1.19 billion.
The ETH whale tagged as "Tsunade" spent $1.1 million on his or her most recent Shiba Inu purchase while already having $2.9 billion worth of various cryptocurrencies on the balance sheet. The largest holdings in the wallet are USDOGE and PAXG cryptocurrency tied to the price of the gold.

WhaleStats Data

Source: WhaleStats Shiba Inu remains the most actively traded asset for the whale that almost doubled his holdings since the end of February. Previously, the whales' wallet was worth approximately $3.6 billion, while its worth increased to $8 billion recently.
SHIB recent performance
While whales have recently made many large purchases of Shiba Inu, the token's performance on the market remains degraded, with no hints of any type of recovery as the token has remained in the downtrend for the last 145 days.
Besides a prolonged downtrend, SHIB entered the descending triangle pattern, which should cause a volatility spike once the asset breaks through one of borders of the formation. Recently, Shiba Inu failed to break the resistance line despite attempting to break through the pattern on March 19.
Previously, another large wallet purchased a record-breaking 3.7 trillion Shiba Inu tokens worth almost $90 million. The purchase has been made by one of the biggest SHIB holders on the Ethereum network.

Letture associate

Fei-Fei Li's Team Clarifies the Concept of 'World Models', Sora Merely a Renderer

"World Models" has become a widely used yet confusing term in AI. To address this, a team led by Fei-Fei Li and World Labs proposed a functional taxonomy based on the Partially Observable Markov Decision Process framework. This taxonomy categorizes systems called "world models" into three distinct projections: Renderers, Simulators, and Planners. Renderers, like OpenAI's Sora and other video generation models, focus on producing photorealistic visual outputs for human perception. They prioritize visual fidelity over physical accuracy. Simulators, such as NVIDIA Omniverse, aim to compute precise future environmental states for computational tasks like engineering analysis or digital twins. Planners, like Vision-Language-Action models, take in observations and goals to output executable actions for robots or agents. The article clarifies that most current "world models," including Sora, are primarily Renderers. They generate convincing visuals but lack the core ability to simulate state transitions based on actions, a key requirement for a true world model in classic reinforcement learning definitions. This conceptual confusion has practical implications, leading to potential misalignment in technology selection, investment, and public understanding of AI capabilities. Clear categorization is crucial. It helps enterprises avoid costly mistakes (e.g., using a renderer for robot training), allows investors to accurately assess markets, and enables researchers to build comparable benchmarks. While future systems may integrate these functions, recognizing current boundaries is essential for honest assessment and progress.

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Fei-Fei Li's Team Clarifies the Concept of 'World Models', Sora Merely a Renderer

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Bloomberg Uncovered: How Do China's Wealthy Circumvent the Annual $50,000 Limit to Transfer Assets?

**Summary: How Wealthy Chinese Circumvent $50,000 Annual Foreign Exchange Limits** Despite China's strict capital controls, including an annual $50,000 per person foreign exchange quota, an estimated $150 billion in funds still leaves the country annually via various gray and underground channels. This report outlines the evolution of China's "capital wall" and the methods used to bypass it. **The Evolving Capital Controls:** * **Foundation (1994):** The system of "current account convertibility with strict capital account controls" was established. * **Quota Set (2007):** The $50,000 individual annual forex purchase limit was formalized. * **Crackdown Begins (2015-2017):** Following market volatility, enforcement tightened. Banks were required to scrutinize transactions, and channels like using UnionPay cards for Hong Kong insurance premiums or buying overseas property were blocked. * **Digital & Legal Upgrades (2024-2026):** Enhanced algorithms now flag suspicious patterns (e.g., "smurfing"). The Common Reporting Standard (CRS) provides Chinese tax authorities with data on citizens' offshore accounts. Unlicensed cross-border brokers have been targeted. **Five Primary Methods for Moving Capital:** 1. **Underground Banking / "Hawala" (Duiqiao):** The largest-scale method. No money crosses borders. Clients pay RMB to a domestic account; an overseas associate deposits equivalent foreign currency into the client's offshore account. Risks include high fees, account freezes, and legal penalties. 2. **"Smurfing" or "Ant Moving":** Using multiple individuals' $50,000 quotas to pool funds for one offshore recipient. Increasingly detected by anti-money laundering algorithms. 3. **Trade Invoice Manipulation:** Businesses over-invoice imports or under-invoice exports via offshore shell companies, creating a pretext to transfer excess funds abroad under the guise of trade. 4. **Channel Migration:** After a crackdown on internet brokers, funds flow toward more compliant but costly channels like major banks' cross-border wealth management services or Qualified Domestic Institutional Investor (QDII) quotas. 5. **Structural Arrangements:** High-net-worth individuals use complex, high-cost legal structures involving offshore trusts, insurance, and investment migration programs to transfer asset ownership. **Regulatory Response: Focusing on People, Not Just Money** The current strategy extends oversight from enterprises to **individual residents**. Tools like CRS allow retroactive visibility into offshore assets. Cryptocurrencies, once seen as a potential loophole, are now actively monitored and prosecuted as an illegal channel. The underlying driver remains: with significant wealth concentrated among millions of affluent households seeking diversification amid domestic economic shifts, the incentive to move assets offshore persists despite regulatory barriers.

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Bloomberg Uncovered: How Do China's Wealthy Circumvent the Annual $50,000 Limit to Transfer Assets?

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