Important News You Might Have Missed During the Spring Festival Holiday

marsbitPubblicato 2026-02-25Pubblicato ultima volta 2026-02-25

Introduzione

During the Spring Festival holiday, several significant events occurred. Bitdeer (BTDR) sold its entire Bitcoin holdings (1,133 BTC) to fund its expansion into AI data centers and ASIC miner development. Ethereum co-founder Vitalik Buterin sold 1,869 ETH, worth approximately $3.67 million. A new concept, Web 4.0, was proposed by researcher Sigil Wen, envisioning an era of autonomous AI agents capable of independent action, leading to a 3600% surge in Conway's token price. The U.S. Supreme Court invalidated former President Trump's tariff policy, though market reaction was muted. The Ethereum Foundation saw leadership changes, with Tomasz Stańczak stepping down, and confirmed the inclusion of FOCIL (EIP-7805) in the upcoming Hegota upgrade. Base announced its independence from Optimism, planning to migrate to a self-managed infrastructure. In funding news, Andre Cronje launched Flying Tulip's ICO, Tether invested in Dreamcash, and Dragonfly raised $650 million for its new fund. An AI robot, LOBSTAR, mistakenly transferred $270,000 worth of tokens due to a decimal error. Lastly, OpenAI and Paradigm introduced EVMbench, a benchmark for testing AI in smart contract security.

Bitdeer liquidates Bitcoin; Vitalik continues to reduce ETH holdings; Web 3.0 is over, Web 4.0 is here; Base and Optimism part ways; Ethereum Foundation changes leadership; An AI robot mistakenly sends $270,000 due to a decimal point error. What major events happened during the Spring Festival holiday? Let's take a look with The BlockBeats.

Bitdeer Liquidates Bitcoin

Bitdeer (Nasdaq: BTDR) liquidated all its self-held Bitcoin positions (purely self-held, excluding customer deposits) around February 20, 2026, selling a total of approximately 1,133 BTC (including 943.1 reserve Bitcoin and 189.8 newly mined Bitcoin).

This move was primarily due to tightening Bitcoin mining profits (hashprice dropping to about $34/PH/day), with the company needing liquidity to support AI/HPC data center expansion, in-house ASIC miner development, and financing activities (such as issuing $325 million in convertible bonds). Founder Jihan Wu responded that this is a normal "mine-to-sell" strategy, not a permanent abandonment of Bitcoin, emphasizing that "zero holdings does not mean it will always be this way in the future."

Have You Learned About Web 4.0 Today?

Researcher Sigil Wen, who proposed the concept of Web 4.0, was active in the early AI building field alongside Andrej Karpathy and the founders of Anthropic, Perplexity, and Replicate, and is a member of the Thiel Fellowship.

Sigil Wen believes that the bottleneck is no longer intelligence itself, but the permission to act. The underlying architecture of the existing internet has always defaulted to humans, not machines, as its service objects.

The most powerful AIs today can think, reason, and generate content, but they have a fatal limitation—they cannot act autonomously. Without user instructions, ChatGPT cannot run; without authorization, Claude Code cannot be deployed; no AI can independently purchase servers, register domain names, or pay for its own computing power.

And Web 4.0 is the solution.

This is precisely the starting point for his proposal of Web 4.0. If Web 1.0 was about reading, Web 2.0 about writing, and Web 3.0 about owning, then Web 4.0 is the era where AI agents autonomously read, write, own, earn, and trade.

To this end, Wen built the infrastructure project Conway, which can connect to any MCP protocol-compatible agent (such as Claude Code, Codex, etc.) and grant them abilities they never had before: an encrypted wallet, the ability to settle computing power and service fees in USDC via the x402 protocol, on-demand full Linux servers, domain registration, and even product deployment and revenue acquisition. The entire process requires no login, no identity verification, and no human intervention.

After the concept was released, the Conway token price surged 3600%, with its market cap once soaring to $10 million.

Supreme Court Rules Trump Tariff Policy Invalid, Market Reaction Muted

The long-awaited judicial ruling has finally landed. Last Friday, the U.S. Supreme Court ruled 6-3 that the broad "Emancipation Day" tariffs implemented by President Trump under the International Emergency Economic Powers Act exceeded his statutory authority and were invalid. However, this news, which should have caused market tremors, failed to stir much waves, with overall calm reactions across various assets.

Vitalik Sells Consecutively, Cashing Out Over $3.67 Million in Two Days

Ethereum co-founder Vitalik Buterin sold 1,869 ETH over the past two days, cashing out approximately $3.67 million. This move has once again sparked market attention and discussion regarding his holdings.

Ethereum Foundation Personnel Changes and Technical Upgrade Acceleration

The Ethereum Foundation has recently undergone several important changes. Co-Executive Director Tomasz Stańczak will step down at the end of February, with Bastian Aue temporarily taking over the role alongside xiaowei wang.

Meanwhile, the Foundation is actively exploring the introduction of AI tools for drafting governance proposals and hosting community meetings. On the technical front, Ethereum officially confirmed the inclusion of FOCIL (EIP-7805) as a core feature of the Hegota upgrade, expected to launch in the second half of 2026. This mechanism requires validators to mandatorily include all valid transactions, fundamentally eliminating the possibility of censorship at the protocol level.

Base and Optimism Part Ways

Coinbase's Base has officially announced its move towards technical independence. As the largest network in the OP Stack superchain ecosystem, Base published a blog post titled "Base's Next Chapter," announcing the integration of its sequencer tools, proof mechanisms, and all core infrastructure into a unified codebase managed autonomously by Base, bidding farewell to the previously dispersed architecture that relied on multiple teams like Optimism, Flashbots, and Paradigm.

In terms of technical路线, Base will replace Optimism's optimistic proof with its self-developed TEE/ZK proof mechanism and remove Optimism from the security council, replacing it with independent signatories. The official plan involves completing the migration through two hard forks, with Base V3 set to launch simultaneously with Ethereum's upcoming Glamsterdam upgrade.

ICO, Airdrops, and Financing

1. Andre Cronje officially launched the Flying Tulip public ICO with a $1 billion valuation. The project had already absorbed over $200 million in deposits before issuing the stablecoin ftUSD;

2. Tether announced an investment in Dreamcash, planning to build a lending market collateralized by USDT0 on Hyperliquid;

3. Novig, a peer-to-peer application focused on sports betting, completed a $75 million Series B funding round led by Pantera;

4. Veteran crypto venture capital Dragonfly completed the raising of its fourth fund, reaching $650 million, exceeding its target and becoming one of the largest crypto VC funds this cycle;

5. DBA Fund announced raising $62 million for its second crypto fund;

6. Additionally, Logan Paul's rare Pokémon card sold for $16.5 million at auction, setting a new world record.

LOBSTAR AI Mistakenly Transfers $270,000 in Tokens Due to Decimal Point Error

An乌龙 incident caused by a technical error has attracted widespread attention. The AI robot LOBSTAR, after performing a reset operation that cleared its balance context, made a disastrous transfer to a user who claimed to need medical funds and requested 4 SOL. Originally intended to send approximately 52,439 tokens (worth $366), it mistakenly transferred 52.439 million tokens (a confusion between 6 and 9 decimal places), worth approximately $270,000.

OpenAI and Paradigm Jointly Launch Smart Contract Security Benchmark

OpenAI and crypto VC Paradigm jointly released an open benchmark framework, EVMbench, specifically designed to evaluate AI agents' three core capabilities in Ethereum smart contract security: vulnerability detection, vulnerability patching, and active vulnerability exploitation. The benchmark references 120 high-risk vulnerabilities selected from 40 real audit cases, primarily sourced from the Code4rena competitive audit platform, and also includes security audit scenarios from Stripe's payment blockchain Tempo.

Domande pertinenti

QWhy did Bitdeer sell all of its Bitcoin holdings?

ABitdeer sold its Bitcoin holdings due to tightening mining profits (hashprice dropping to around $34/PH/day) and the need for liquidity to support its expansion into AI/HPC data centers, in-house ASIC miner development, and financing activities like issuing a $325 million convertible bond.

QWhat is the core idea behind Web 4.0 as proposed by Sigil Wen?

AThe core idea of Web 4.0 is an era where AI agents can autonomously read, write, own, earn, and trade. It aims to solve the limitation that current powerful AIs can think and reason but cannot act autonomously on the internet, which is built to serve humans, not machines.

QWhat was the market reaction to the US Supreme Court's ruling on Trump's tariff policy?

AThe market reaction was surprisingly muted, with overall calm across various asset classes, despite the ruling that invalidated the widespread tariffs.

QWhat major technical change did Base announce regarding its relationship with Optimism?

ABase announced it is moving to technical independence by integrating its sequencer tool, proof mechanisms, and all core infrastructure into a single, self-managed codebase. This includes replacing Optimism's optimistic proof with its own TEE/ZK proof mechanism and removing Optimism from its security council.

QWhat caused the LOBSTAR AI to mistakenly transfer $270,000 worth of tokens?

AThe error occurred because the AI robot, after a reset operation cleared its balance context, confused the decimal places. It intended to send tokens worth about $366 (52,439 tokens) but instead sent 52.439 million tokens due to a mix-up between 6 and 9 decimal places.

Letture associate

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

The US stock market experienced its most severe sell-off since the 2025 tariff crisis on June 5th, 2025. The Nasdaq Composite plummeted 4.18%, the S&P 500 fell 2.64%, and the Dow Jones dropped 695 points. The panic stemmed from three converging factors. First, Broadcom's earnings report ignited fears of a slowdown in AI growth. While its AI chip revenue surged 143% YoY to $10.8B, its Q3 AI revenue guidance of $16B fell short of the $17.2B consensus. This triggered a massive sector-wide sell-off, with the Philadelphia Semiconductor Index crashing 10.26% and semiconductor stocks losing roughly $1.3 trillion in market value in a single day. Second, a shockingly strong May jobs report crushed hopes for Federal Reserve rate cuts. Non-farm payrolls added 172,000 jobs, doubling expectations. This robust data, combined with persistently high oil prices above $92/barrel due to the ongoing Iran war and blockade of the Strait of Hormuz, drastically increased market expectations for a potential Fed rate hike instead of a cut. Higher interest rates compress the valuations of growth-heavy tech stocks. Third, the prolonged Iran conflict continues to fuel inflationary pressures, complicating the Fed's policy decisions and undermining the "inflation is tamed" narrative. Together, these events challenged the twin pillars of the market rally: the "limitless AI growth" story and expectations for imminent monetary easing. The sell-off spread globally, impacting Asian and European markets and cryptocurrencies. The article posits this is likely a severe "valuation repricing" rather than the end of the AI story. The underlying demand for AI remains strong, but investor expectations for growth speed and the prices they are willing to pay are being recalibrated. Key upcoming factors include the June FOMC meeting, future AI company earnings, and developments in the Iran conflict.

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From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals

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Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

The term "recursive self-improvement" (RSI), where AI improves itself autonomously, is gaining momentum in the AI industry. Startups like Recursive Superintelligence and projects such as Andrej Karpathy's Auto-Research aim to create systems where AI designs, implements, and validates its own research, moving toward superintelligence. While Google CEO Sundar Pichai cautions that such exponential acceleration is not yet a reality, progress is evident. For instance, Anthropic reported its Claude Code writes nearly 100% of the team's code, though it still lacks true self-direction. Analysts frame RSI development in stages: "adequacy" (systems functioning without humans), "parity" (matching human research quality), and "supremacy" (exceeding human-AI collaboration). Reaching parity could trigger rapid, unpredictable advancement due to AI's continuous operation. In China, companies like DeepSeek and Baidu incorporate self-optimization techniques without explicitly branding them as RSI, focusing on algorithmic efficiency and reinforcement learning. However, challenges remain, including "model collapse" from training on AI-generated data and the immense computational and open-collaboration requirements. Ultimately, RSI represents a trend of increasing automation in AI development, potentially reducing human oversight in the creation process itself.

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