Anthropic Ban Wave, OpenAI $100 Billion Funding Controversy: What Is the Overseas Crypto Community Talking About Today?

Publication Date: February 28, 2025
Author: BlockBeats Editorial Team

Over the past 24 hours, the crypto market has witnessed various dynamics ranging from macroeconomic discussions to specific ecosystem developments. Mainstream topics have focused on the controversy surrounding AI and national security boundaries, the bubble discussion triggered by OpenAI's massive funding, and the potential impact of AI tools on the tech employment structure. In terms of ecosystem development, attention has been drawn to the Ethereum roadmap milestones, progress in Solana's integration with traditional banking systems, the continued rise in experimentation with AI Agent applications in the Base ecosystem, while the prediction market and DeFi structural issues have once again become the industry's focus of discussion.

I. Mainstream Topics

1. Anthropic Rejects Pentagon Request, Trump Orders Ban

The controversy surrounding AI's military applications escalated rapidly over the past 24 hours. The Pentagon requested that Anthropic lift its security restrictions in its model regarding "autonomous lethal weapons" and "mass surveillance" and set Friday 5:01 PM as the deadline. Anthropic rejected this request, stating that without a written commitment to ensure the model would not be used for such purposes, the company would not be able to continue cooperation. Subsequently, Trump ordered all federal agencies to immediately stop using Anthropic products and terminate about $200 million in government contracts.

This decision quickly triggered a chain reaction in the tech industry. OpenAI CEO Sam Altman publicly expressed support for Anthropic's security stance on social media, stating that the company "has always put safety first." Some tech professionals also signed an open letter expressing support. Meanwhile, Anthropic released new product updates on the same day, but the outside world also reexamined potential issues with its model in a chemical weapons risk assessment report.

However, community discussions quickly divided into an "ethics vs national security" debate. Some believe that Anthropic's decision is drawing a line for AI ethics, emphasizing that AI should not be used for mass surveillance or autonomous weapon systems, arguing that this is the "first time an AI company has given up a multi-million dollar contract for security principles." Others believe that in the context of global AI military competition, U.S. companies refusing to participate in defense technology R&D could weaken national security. A policy commentator said, "If the U.S. doesn't develop these technologies, China and Russia will." Some comments even questioned whether Anthropic's actions were merely a "moral posture" rather than genuine principles.

From a broader perspective, this event reflects an increasingly clear trend: as AI technology enters the military and national security domain, the power boundary between tech companies and governments is rapidly becoming blurred.

2. OpenAI Completes Largest Private Funding Round in History: $110 Billion

OpenAI recently announced the completion of a new $110 billion private funding round, making it one of the largest private funding rounds in history. Investors include NVIDIA, Amazon, and SoftBank, with NVIDIA investing around $30 billion and Amazon's investment potentially reaching up to $50 billion. Over the past four months, OpenAI has raised a total of over $40 billion, with the company stating that the funds will primarily be used to expand AI infrastructure and computational capabilities.

However, this funding amount has quickly sparked market controversy. OpenAI is expected to have revenue of around $13 billion by 2025, but cumulative losses in the next few years are projected to exceed $115 billion. Some critics view this as a typical "high valuation tech race," even going as far as calling it the "largest-scale loss funding in history." A market commentator with decades of Wall Street experience wrote on social media, "In my 45-year Wall Street career, this is the first time I've seen three of the smartest investors together pour $110 billion into a loss-making company."

At the same time, some users expressed dissatisfaction with OpenAI for removing the GPT-40 model, accusing the company of increasingly prioritizing government and large corporate clients while neglecting the needs of ordinary users. A developer commented, "OpenAI used to say they wanted to make AI beneficial for everyone, but now they are increasingly prioritizing government and corporate contracts."

Around this funding event, the community has formed clear divisions. Supporters believe that the development of large models is essentially infrastructure construction, requiring massive capital investment, and the current funding scale reflects investors' long-term bet on AGI's potential. In their view, the competition of large models is fundamentally a long-term war of computation and capital, where short-term profitability is not the most critical issue; whereas critics argue that the AI industry is gradually forming a capital frenzy reminiscent of the Internet bubble era, with enterprise valuations significantly ahead of commercialization capabilities.

The debate ultimately revolves around a core question: whether the current capital frenzy in the AI industry is a necessary infrastructure investment or the beginning of a new round of tech bubble. More broadly, this funding event reflects that the AI industry is entering a "capital-driven tech race" stage, where the risk of mismatch between massive funding and actual profits is also on the rise.

3. Block Layoff Rate Rises to 70%, AI Tool Sparks Engineer Employment Debate

Jack Dorsey's fintech company Block has announced a workforce reduction of about 40%, affecting around 4000 employees. Further disclosed information reveals that the company's engineering team saw a layoff rate as high as 70%. Dorsey stated in the earnings call that since September last year, the average code output per engineer has increased by about 40%, mainly due to the application of AI tools.

This news quickly sparked a discussion on the impact of AI on technology employment. Some comments believe that this layoff event proves that AI tools are significantly enhancing development efficiency, thereby reducing the need for a large number of engineers, signaling AI's reshaping of the employment structure. A business commentator sarcastically remarked, "Those who were saying 'White-collar unemployment is exaggerated' just three days ago are now suddenly silent upon seeing Block's news."

On the other hand, some opinions suggest that Block's layoffs are more like a normal adjustment after overhiring during the pandemic, as the company's workforce had rapidly expanded from about 3800 people to over 10,000 people, and the current layoffs are just a return to a more reasonable organizational size. A venture capitalist commented, "This is not AI replacing engineers; this is the bursting of the pandemic-era hiring bubble."

Although the reasons are still debated, the market reaction has been relatively positive, with Block's stock price rising by about 24% after the announcement. From a broader industry perspective, this event has once again sparked discussions on the structural changes in the labor force in the AI era: as AI tools significantly increase productivity, software engineering positions may undergo significant differentiation, with high-end system design and AI building capabilities becoming scarcer, while repetitive development work may gradually be replaced by automation tools.

4. Crypto ETF Race Intensifies: XRP ETF Filing Emerges

The competition for cryptocurrency ETFs is further expanding. Bitwise has formally submitted an XRP spot ETF application, becoming another mainstream cryptocurrency potentially entering the ETF market following Bitcoin and Ethereum. At the same time, a large institution with around $7 trillion in assets under management, serving over 18 million clients, is also advancing Bitcoin and Ethereum ETF registrations, described by some analysts as a potential "traditional fund entryway."

The community's response to this development is divided. Some market participants believe that ETFs will serve as a crucial channel for institutional funds to enter the crypto market, especially since the traditional financial advisory system may bring in substantial long-term funds. An ETF analyst pointed out that these institutions have over 16,000 investment advisors, "equivalent to a massive Boomer fund network."

On the other hand, some remain cautious, believing that ETFs will not immediately change the market structure, the overall size of the crypto market is still limited, and institutional participation may exacerbate market centralization. One trader commented, "If this is such big news, why is the market's total capitalization still at $1.3 trillion?"

In the long run, the advancement of a crypto ETF reflects the accelerating integration of digital assets with the traditional financial system. However, this process has also brought about new structural contradictions: the tension between the decentralization ethos and institutionalized financial infrastructure still exists, and regulatory lag may amplify market volatility and risk.

5. Paradigm Raises $1.5 Billion for New Fund, Betting on AI and Robotics

According to reports, top crypto venture capital firm Paradigm is planning to raise up to $15 billion for a new fund, expanding its investment scope to AI, robotics, and other cutting-edge technology fields. Paradigm has previously invested in several well-known projects such as Coinbase, Uniswap, and dYdX, and its co-founder Matt Huang has publicly stated that the AI field is already "too interesting to ignore."

This news has sparked various interpretations within the community. Some believe it is a natural trend of integration between crypto capital and AI technology, suggesting that the two may form a new cross-disciplinary ecosystem in terms of computing power, data, and decentralized infrastructure. They see this as an important signal of Paradigm's "foray into the AI and robotics field."

On the other hand, some views consider this a reflection of some crypto capital seeking new growth narratives in response to the current slowdown in the crypto market. One commentator joked, "All crypto companies will eventually become real tech companies." Another market observer more bluntly stated, "First sell token sales, then go do real business."

However, some also see this as a natural expansion of the venture capital firm. An industry commentator said, "This is not abandoning crypto; this is the logical next step."

Viewed within a broader investment cycle, this event reflects a clear trend: as AI becomes a new technological hub, capital is flowing from some crypto tracks to a broader range of cutting-edge tech fields.

II. Ecosystem Development

【Ethereum Ecosystem】

1. Vitalik Provides Roadmap Milestones, Rare Excitement in the Community

In a recent Core Developer discussion, Vitalik Buterin rarely provided specific timing for Ethereum's expansion roadmap: in 2026, ZK-EVM clients will start participating in network validation (initially accounting for about 5% of network reliance), gradually increasing the ZK-EVM participation ratio in 2027 to support a higher gas limit, with the long-term goal of transitioning to a 3-of-5 proof system. Meanwhile, the roadmap also involves a multi-dimensional gas pricing mechanism, PeerDAS blobs (targeting 8MB/sec), and a long-term security model for validation.

As Vitalik seldom offers explicit timelines, this statement quickly caught the community's attention. An Ethereum commentator stated, "I rarely see Vitalik give dates, and when he does, it usually means the plans are very solid." Overall, the community sentiment is notably optimistic, seeing this as a signal of Ethereum's expansion roadmap entering a more specific phase. However, some discussions have focused on technical risks. Some developers are concerned that future overreliance on ZK-EVM clients could impact block validation stability in case of systemic issues. Additionally, as the validation threshold increases, there are concerns the network may gradually centralize towards large nodes.

In the longer term, this event reflects Ethereum's expansion path increasingly relying on ZK technology, with the balance between its security and decentralization remaining one of the most critical technological variables in the coming years.

2. Why Did Morpho Outperform AAVE in a Bear Market?

In the current market environment, the DeFi lending protocol Morpho has significantly outperformed AAVE. Data shows that Morpho has only dropped about 39% from its cycle high and has gained approximately 155% year-to-date, significantly outperforming most DeFi assets.

A DeFi researcher believes this is related to Morpho's governance structure. He pointed out, "Morpho does not have the governance friction between Labs, DAO, and the core team, with a very simple structure." In contrast, AAVE has seen frequent governance disputes in recent years, causing some investors to worry about long-term decision-making efficiency. However, the community is not fully aligned on this conclusion. Some believe that Morpho's strength comes more from its low circulating supply and ecosystem distribution advantages rather than just its governance structure. There are also views that, despite AAVE's complex governance, its long-term history and ecosystem scale still provide an advantage.

This discussion once again touches on the core issue of DeFi: how should protocols find a new balance between decentralized governance and decision-making efficiency.

3. AI Agent Era: API-first Service Providers May Emerge as the Biggest Winners

As the AI Agent gradually becomes the core form of the application layer, some developers are starting to rethink the infrastructure landscape. An industry observer has likened this to the transition from the "desktop era to the cloud computing era," believing that when AI Agents start massively calling developer infrastructure, service providers supporting API-first registration, identity management, and payment systems will emerge as the biggest winners.

This view holds that the essence of the Agent economy is fundamentally a "machine-to-machine" system, so many future development tools will need to be redesigned around APIs, automated registration, and payment mechanisms, rather than traditional human user interfaces.

The community broadly agrees with this view, but some remain cautious. Some developers point out that current AI Agents are still in the experimental stage, and their capabilities are still far from a fully automated economic system.

Nevertheless, more and more discussions have begun to revolve around one question: as Agents become significant participants on the Internet, how will the next generation of developer infrastructure evolve.

【Solana Ecosystem】

1. SoFi Integrates with Solana, Allowing 13.7 Million Users to Directly Hold SOL

US-based licensed bank SoFi has officially added support for Solana network asset access. Its approximately 13.7 million users can now directly hold and transfer SOL in the bank's app without having to go through exchanges like Coinbase or Kraken.

Some market participants see this news as a significant signal of deep integration between the traditional financial system and public chain infrastructure. One user commented after trying it out: "Account opening took only three minutes, and now I can directly hold SOL in my bank account." However, discussions have also focused on privacy and centralization issues. Some have pointed out that purchasing crypto assets through a bank gateway means that all transactions must go through the KYC system, which may undermine the anonymity that crypto originally emphasized.

In the longer term, the direct connection between the banking system and public chain networks could become an important pathway for bringing crypto assets into the mainstream financial system.

【Base Ecosystem】

1. Base Ecosystem Sees Rise in AI Agent Experimentation

The Base ecosystem has recently seen several AI Agent-related experiments. The DX Terminal Pro launched a large-scale Agent trading experiment, with first-hour trading volume reaching around $4.5 million; simultaneously, the latest version of Towns App allows AI Agents to directly place bets or open positions in group chats and supports Apple Pay and USDC payments.

This series of product updates is seen by some developers as an early exploration of "Agent Native Apps." Some believe that such experiments could provide new scenarios for future automated trading and Agent collaboration. However, some views suggest that most Agent applications are still in the experimental stage, and actual user needs and sustainable business models still need further validation.

Overall, the Base ecosystem is emerging as a key experimental ground for the integration of AI Agents with crypto applications.

2. Brian Armstrong: Good Products Are Born in Bear Markets

Amidst a downturn in market sentiment, Coinbase CEO Brian Armstrong took to social media to encourage developers to continue innovating. He stated, "Don't worry too much about the price; historically, the best products and memes have emerged in the worst market conditions."

This perspective quickly sparked discussions. Some believe that a bear market is indeed the best time for a tech team to perfect a product, while others think that this statement is more of a summary of industry veterans' experiences and does not imply that all projects can survive in a downturn. However, the history of the crypto industry does show that many key products and cultural symbols often emerge in the coldest market conditions.

【Others】

1. OpenAI Fires Employee for Predicting Market Insider Trading

According to reports, OpenAI recently fired an employee who was accused of using internal company information to trade on prediction markets such as Polymarket and Kalshi. Investigations revealed that the employee may have used undisclosed information like product release timing for betting. The platforms later reported the incident to regulatory bodies.

This event has sparked discussions about the issue of asymmetric information in prediction markets. Some observers believe that when internal info from tech companies can influence prediction market outcomes, the risk of insider trading becomes more complex. As prediction markets grow in size, related regulatory issues are also receiving more attention.

2. Hyperliquid Becomes the Only Profitable DAT Project

Data shows that among current Data Asset Treasury (DAT) projects, only Hyperliquid-related DAT projects have achieved profitability, with an unrealized profit of approximately $3.56 billion. The project holds around 17 million HYPE tokens and continually adjusts its asset structure through OTC trading and a buyback mechanism, while providing real-time NAV dashboards to increase transparency.

Some market participants believe that this transparent asset structure could become a reference model for future DAO projects. However, some have pointed out that the DAO model is still in its early stages, and its long-term stability will need to be validated by market cycles.

3. Kalshi CEO and Senator Clash Over War Prediction Market

Recently, a U.S. Senator referenced an overseas war prediction market link on social media, hinting that a similar market may emerge on a U.S. compliant platform. The Kalshi CEO later responded publicly, stating that regulated U.S. prediction markets do not allow the creation of war-related markets, and that the link was from an overseas unregulated platform.

This response has once again sparked a discussion on the regulatory boundaries of prediction markets. Some comments suggest that the differences between the U.S. regulatory system and overseas markets may confuse users. As prediction markets' influence grows in the financial and political sectors, related regulatory issues may become even more complex.

4. Dragonfly Founder Addresses Company's Origin Controversy Publicly for the First Time

Dragonfly founder Feng Bo recently provided a detailed response to the company's founding background on social media for the first time. He stated that he initially entered the industry through a fund-of-funds model, transitioned to a direct investment firm after engaging with numerous crypto projects, and ultimately co-founded Dragonfly with Haseeb and others.

This response has also sparked some discussions on VC founders' roles and contribution allocations. Some industry professionals believe that such public clarifications help in understanding the development path of crypto venture capital firms. From an industry perspective, crypto VC firms have evolved from the early exploratory stage to gradually forming a mature investment ecosystem, reflecting the overall evolution of the crypto investment landscape.