Justin Sun Lawsuit Dismissed, BlackRock Bullish on Tokenization, What Is the English-Speaking Community Paying Attention To?

Publication Date: March 6, 2025
Author: BlockBeats Editorial Team

Over the past 24 hours, the crypto market has continued to evolve across multiple dimensions. The main topics have focused on AI technological breakthroughs and regulatory controversies, including the release of GPT-5.4, legislative discussions on New York State's restriction of AI practice, and traditional financial institutions accelerating their presence in the crypto infrastructure. In terms of ecosystem development, Ethereum has been discussing application layer innovation, Base has emphasized on-chain Agent economic infrastructure, Solana has seen significant growth in its payment network, and structural discussions on prediction markets and Perp DEX race track have been heating up.

I. Main Topics

1. GPT-5.4 Shocking Release: Strongest Agent Model Debuts, Catalyst for On-Chain AI Narrative

On March 5, OpenAI released the GPT-5.4 model. This model natively supports computer operation capabilities, including writing Playwright automation scripts, reading screenshots, and executing keyboard and mouse operations. At the same time, the context window of the Codex API has been expanded to 1 million tokens, significantly enhancing the execution capabilities of complex agent tasks.

OpenAI CEO Sam Altman stated that the model has officially launched and can be used for knowledge work and web search, allowing users to guide behavior in real time during task execution. Benchmark test data shows that GPT-5.4 has achieved leading performance in multiple tasks: GDPval reached 83.0%, OSWorld-Verified was at 75.0%, SWE-BenchPro at 57.7%, and Toolathlon at 54.6%.

Developer Matt Shumer, after a week of testing, commented that GPT-5.4 is "the strongest model to date," with the standard version surpassing the previous Pro mode and coding ability approaching "perfection." However, he also pointed out that in terms of front-end design ability, the model still lags behind Claude Opus 4.6 and Gemini 3.1 Pro. OpenAI research lead Noam Brown also stated that the new model is significantly ahead in computer operation and economic task scenarios, with its capabilities rapidly improving, and no clear upper limit has been seen yet.

While the community overall acknowledges the model's significant leap in capabilities, there are also noticeable divisions. Some users believe that the new version has significantly reduced "personality" and "warmth" compared to earlier models, with a style that leans more towards a cool, tool-like assistant; while others are concerned that it could be used for monitoring or military purposes, even leading to subscription cancellations. In addition, the benchmark scores have sparked controversy— for example, Claude Opus 4.6 is close to or even ahead in some metrics, yet OpenAI still describes GPT-5.4 as the "strongest model."

With the rapid advancement of AI Agent capabilities, the market generally believes that the narratives of on-chain AI, automated trading, and agent-based economics will once again receive catalysis. However, as model capabilities surge, new issues have also emerged: automated coding may exacerbate employment pressure, and benchmark competition among model vendors may further widen the gap between marketing narratives and actual capabilities.

2. New York Proposes Legislation to Restrict AI Practice: Professional Regulatory Boundaries Spark Controversy

New York State is discussing a new legislative proposal that aims to prohibit AI from providing services or answering related questions in professional fields such as medicine, law, dentistry, nursing, counseling, and engineering.

Commentator Tuki interprets this move as "a $500/hour industry protecting knowledge monopolies through politicians" and believes that the core of this bill is not public safety but maintaining the fee model of traditional professional services. Market commentator Wall Street Mav, on the other hand, refers to this as a typical case of "regulatory capture," where the lawyer community is pushing the bill and forming alliances with other professional groups to prevent AI from replacing high-value services such as contract drafting and medical report interpretation.

However, supporters argue that such restrictions are realistically necessary. AI still suffers from the problem of illusions, such as generating false legal cases or providing incorrect medical advice, which could pose serious legal or health risks if users directly believe in them.

Opponents, on the other hand, point out that in many cases, AI only serves as a "second opinion," and a complete ban may restrict the public's access to knowledge. Some have likened this issue to Google search—search results may also contain incorrect information but have never been completely banned as a result.

At the heart of this debate is the conflict between professional knowledge monopolies and the democratization of AI. As AI capabilities continue to advance, whether regulation is meant to protect public safety or preserve existing professional interests is becoming a focal point of global policy discussions.

3. OKX Valued at $25 Billion, ICE Enters the Arena: Traditional Finance Accelerates Establishment of Crypto Infrastructure

Intercontinental Exchange (ICE), the parent company of the New York Stock Exchange, has announced a strategic investment in the crypto exchange OKX, valuing it at $25 billion.

OKX positions itself as a key node of the "next-generation financial infrastructure" and states that it will collaborate with ICE to explore tokenized securities and digital asset representations, with a focus on enhancing market structure, risk management, and institutional investor access.

Investor Simon Dedic pointed out that the fully diluted valuation of the OKX ecosystem token OKB is only about $1.6 billion, showing a significant gap compared to the company's valuation, indicating that token holders have not shared in the company's value growth. Analyst Ignas observed that OKB saw an increase after the news announcement, indicating that the market has to some extent already absorbed this structural issue, but the disconnect between equity and token value remains a long-standing issue in the industry.

Some market observers believe that ICE's entry signals that traditional financial institutions are accelerating their takeover of the crypto infrastructure track, which could drive global asset settlement efficiency improvements and further promote asset tokenization.

At the same time, there is also criticism that this case once again exposes structural issues in the crypto industry's economic model: exchange valuations continue to rise, but platform tokens have not truly become "on-chain equity."

As traditional finance continues to enter the crypto market, the industry is facing new structural changes: institutional funds bring liquidity and compliance capabilities, but they may also strengthen the position of centralized platforms.

4. Justin Sun Lawsuit Dropped, FBI Captures $46 Million Crypto Theft Suspect

The U.S. Securities and Exchange Commission (SEC) has dismissed all lawsuits against Justin Sun, the Tron Foundation, and the BitTorrent Foundation. Sun stated that this move will allow him to focus more on ecosystem development and is willing to work with the SEC to establish a clearer crypto regulatory framework.

Meanwhile, the Federal Bureau of Investigation (FBI) arrested government contractor John Daghita on the Caribbean island of St. Maarten, accusing him of stealing over $46 million worth of U.S. Marshals Service crypto assets. The operation was carried out jointly by the FBI and the French Gendarmerie.

Some community members see the dismissal of the Sun case as a signal of a more lenient regulatory attitude, while others believe it reflects a new political environment that is more friendly to the crypto industry. However, some critics question the political factors behind the case and point out that the FBI's arrest operation also exposed security vulnerabilities in government asset management.

These two events together highlight the complexity of current crypto regulation. On the one hand, regulatory agencies have shown a more cautious or even lenient attitude in some cases; on the other hand, enforcement against on-chain crime continues to intensify.

5. Anthropic Pentagon Collaboration Statement Sparks Controversy, AI Job Displacement Discussion Heats Up

Anthropic CEO Dario Amodei recently issued a statement regarding the company's collaboration with the Pentagon, reaffirming the company's commitment to a "safety-first" principle and clarifying details of the collaboration agreement.

Meanwhile, a new AI employment research report has pointed out that programmers and financial analysts are among the professions with the highest automation risk in the future. The report projects that by the end of 2026, around 50% of cognitive work tasks could be automated. However, high-risk positions have not yet seen large-scale layoffs but rather have been more characterized by hiring freezes, especially with a significant decrease in job postings for recent college graduates.

Venture capitalist Chamath Palihapitiya revealed that the AI costs of his investment firm have tripled since November 2025, with current monthly expenses of around $2.1 million, indicating that companies are extensively exploring AI applications. Commentator Tuki criticized Anthropic for its inconsistent stance on AI safety issues and believed that the company leveraged its product's top App Store ranking to expand its influence.

Some viewpoints suggest that the rise in AI costs reflects accelerated real-world applications, and related reports help companies plan their transformation paths in advance. Other viewpoints express concerns that automation may further exacerbate inequality in the job market structure, and AI collaboration with the defense system has sparked new ethical controversies.

As AI's adoption in enterprises continues to expand, a new issue is emerging: hiring freezes are becoming the initial stage performance of automation's impact on the job market, while genuine job replacements may still be on the horizon.

II. Mainstream Ecosystem Updates

【Ethereum / Base】

1. Vitalik: Ethereum Needs Bolder Application Layer Experiments

Vitalik Buterin recently stated in an article that while the Ethereum ecosystem upholds decentralization and security, the application layer should maintain a more daring and open-minded exploratory approach.

He proposed a reassessment of the current application stack structure, elevating privacy by design as a priority, further contemplating the impact of AI on wallet interaction patterns, and the long-term evolution direction of decentralized oracle systems. Meanwhile, Vitalik also retweeted writer Scott Alexander's analysis of prediction markets as a "cognitive tool," suggesting that there is still significant room for optimization in conditional markets, which can enhance society's understanding of complex issues.

The community broadly views this statement as a signal that Ethereum is disentangling from existing path dependencies, returning to first principles. Some commentators believe this may drive innovations in new application directions such as identity, privacy, and information markets; others point out that Ethereum's core developers have long focused on the protocol layer and may need more involvement in application layer discussions in the future to form a more comprehensive ecosystem perspective.

As a community comment put it: "Ethereum's L1 has long ceased to be a bottleneck, the real bottleneck is whether developers can break out of existing paradigm thinking." If this mindset continues to advance, the Ethereum application ecosystem may shift from past progressive optimization to a more fundamental restructuring of its architecture. However, balancing innovation speed with core principles remains a key issue.

2. Brian Armstrong: Coinbase is Building Agent Economy Infrastructure

Coinbase CEO Brian Armstrong stated that the company is constructing infrastructure for the Agent Economy, with Base evolving into a key platform for on-chain AI.

He noted that significant friction, high fees, and delayed settlement still exist in cross-border remittances, with cryptocurrency networks offering the ability for value transfer much closer to real-time. Coinbase aims to support AI agents and automated applications through Base to make digital asset transfers more seamless, thereby providing infrastructure for the future machine economy.

This statement has been interpreted by many market observers as traditional financial institutions beginning to embrace on-chain AI and payment integration more systematically. Some commentators believe this further strengthens Base's positioning as an AI agent operational platform, while others point out that achieving "machine-to-machine payments" will still require infrastructure with extremely low or even zero fees.

As a community joke goes: "The future world is one where humans are explaining to friends that robots now have bank accounts, and they run on Base."

As AI agents gradually become involved in real economic activities, on-chain payment infrastructure may become a new narrative for growth. However, this process still heavily depends on the regulatory environment and the actual adoption speed of payment networks.

3. Larry Fink: Asset Tokenization Will Revolutionize Finance

BlackRock CEO Larry Fink stated that asset tokenization will have a profound impact on the financial system, and achieving a unified settlement layer through blockchain can significantly reduce transaction friction.

He noted that if all assets could be digitally represented, from stocks and bonds to real estate investments, they could be directly traded and invested in through digital wallets, reducing intermediaries and costs. Fink also mentioned that from an efficiency standpoint, a single public blockchain may be the optimal path to global asset tokenization, with Ethereum being considered the most likely network to assume this role.

This view is seen by the market as a significant signal of Wall Street mainstream institutions further embracing on-chain settlement. Some commentators believe that asset tokenization can significantly reduce the investment threshold and enhance market liquidity; however, there are also voices pointing out that in the current financial system, infrastructure such as investor qualification verification and compliance checks still needs to be addressed.

If this trend continues to advance, there may be a major change in the global financial settlement architecture. However, at the same time, reliance on a single settlement network may also bring new governance and compliance challenges.

【Solana】

1. Solana Payment Scale Grows by 755% Year-on-Year

Data shows that Solana network's payment scale has grown by 755.3% year-on-year and is currently being used by institutions such as Visa, Stripe, Worldpay, and Western Union for global settlement scenarios.

The Solana Foundation has stated that its goal is to build a comprehensive dataset covering all on-chain transaction activities, making Solana the most complete transactional data infrastructure. Meanwhile, the Jupiter team is rebuilding the developer documentation system to support AI agents in directly reading protocol information and generating interactive code.

The community widely views this growth as a significant signal that Solana is becoming the next-generation payment network. Some commentators believe that such infrastructure may gradually replace traditional payment networks like SWIFT or ACH; others point out that the current data still needs to differentiate between real economic activities and stablecoin fund transfers.

As the community comment goes: "Solana's payment ecosystem growth is not accidental but the result of the team's continuous product delivery." If institutional adoption continues to expand, Solana is poised to take advantage in the competition for a 24/7 low-cost settlement network. However, the payment data structure still heavily relies on stablecoin liquidity, indicating that its growth pace may fluctuate with market cycles.

【Perp DEX】

1. Perpetual Contract Track Discussion Heats Up, Tension Between Idealism and Reality

Crypto researcher jez recently participated in a podcast with Haseeb, Tom Schmidt, and Tarun, discussing the perpetual contract market, prediction markets, and the evolution of the crypto industry culture.

The discussion started from the early cyberpunk spirit and extended to the current market environment. Some viewpoints believe that the crypto industry is gradually transitioning from idealism to a more financialized stage, while the perpetual contract market still holds a significant advantage in price discovery and trade efficiency.

Community discussions have also focused on market design issues. Some viewpoints believe that Perp DEX has many advantages over traditional financial markets, but still needs to address issues such as adverse selection and liquidity structure.

As a comment mentioned in the podcast: "Crypto used to be a cypherpunk movement, but is now increasingly resembling an endless financial nihilism experiment."

As the derivative market grows, Perp DEX may gradually evolve into a more mature market structure, but the tension between idealism and real market demand continues to influence industry culture.

【Prediction Market】

1. Polymarket Weekly Trading Volume Surpasses Kalshi, Avi Felman Advocates ThinkingUSD Podcast

Data shows that Polymarket's weekly transaction volume reached 24.62 million transactions, surpassing Kalshi's 18.72 million transactions, maintaining a lead in the prediction market platform, and exceeding competitors such as 0xProbable and Predict.fun.

Meanwhile, Avi Felman recorded a podcast episode with ThinkingUSD, discussing current trading opportunities in the crypto market, including meme coin shorting strategies, perpetual contract structures, and portfolio allocations for 2026. 1000xPod also reviewed the development from Bitcoin trading in 2014 to the current market in the related discussion, exploring how traders continue to seek "marginal advantages."

The community generally believes that this data reflects Polymarket's leading position in the prediction market field, while also illustrating the growing demand in the crypto market for information trading tools. However, some comments have pointed out that the prediction market still needs to beware of internal trading and the risk of market "gamification."

If this trend continues, the prediction market may gradually evolve into a new price discovery tool. However, regulatory environment and market structure issues remain important variables for its mainstream financial system adoption.