Publication Date: March 9, 2025
Author: BlockBeats Editorial Team

Over the past 24 hours, discussion in the English community has shifted from AI tools and prediction market controversies to the practical application progress of on-chain infrastructure. The mainstream topics have focused on the Claude Skills document flooding the community, the controversy surrounding prediction market valuation and war pricing, and discussions on AI coding advancements. In terms of ecosystem development, Solana stablecoin trading volume has hit a historic high, Coinbase revealed custody of over 12% of global crypto assets, while Base payment scenarios and Perp DEX trading infrastructure continue to expand.

I. Mainstream Topics

1. Claude Skills Document Floods Community, Rapid Spread in Crypto Community

Anthropic released a 33-page-long Claude Skills Building Guide, systematically introducing best practices such as YAML configuration, testing processes, and folder structures to help developers build reusable AI workflows, such as document generation or research pipelines. The document quickly spread across social platforms after its release.

Some accounts, when sharing the PDF link, claimed that the document contained a set of prediction market trading bot structures (win rate of 68.4%, daily earnings of 300–1500 USD). However, some users later pointed out that the related screenshots seemed to be forged and not part of the actual document content. Meanwhile, some developers emphasized that this guide is more suitable for stock trading automation and enterprise-level workflows, such as custom Copilot or real-time portfolio management tools. Some engineers further noted that similar tools had already been built by internal Anthropic engineers and were not acquired through the purchase of OpenClaw.

The controversy mainly revolves around the authenticity of the document's content. Some users view it as an essential practical guide for the commercialization of AI tools, while others believe that some of the dissemination constitutes typical engagement farm content, such as the notion of a "hidden trading bot," leading to trust issues.

Summary of Different Views

Optimists: Believe that this guide indicates that the AI programmable workflow ecosystem is taking shape, allowing the community to develop profitable applications such as stock analysis tools or prediction bots.

Skeptics: Believe that some of the dissemination is clearly exaggerated or even fabricated, emphasizing the need to download the original PDF to verify the content and avoid being misled by FOMO emotions.

The cryptocurrency community's high enthusiasm for AI monetization opportunities makes unverified information easier to quickly spread and package, also reflecting inadequate information verification mechanisms and the propagation risk driven by hype narratives.

2. Polymarket Historic Surpasses Kalshi, Weekly Trading Volume Ranks First Globally

This week, Polymarket's trading volume reached $19.3 billion, surpassing Kalshi's $18.7 billion for the first time, becoming the world's largest trading volume prediction market platform. Some media reports have stated that its valuation has reached $20 billion, but another industry ranking data shows that Polymarket's valuation is around $9 billion, while Kalshi is around $11 billion.

Some industry insiders have stated that if the $20 billion funding is true, this reflects venture capitalists' strong bet on the leading position of the prediction market track. Nevertheless, Polymarket's current TVL is still less than $4 billion, with a total trading volume ranging from $200 billion to $500 billion. Some traders are amazed by the platform's growth rate, but some also question its valuation logic.

The discussion mainly focuses on whether the valuation is reasonable. The claim of $20 billion is seen by some as narrative-driven, while the $9 billion valuation is seen as closer to the current business scale.

Summary of Different Views

Optimists: Believe that Polymarket has become the leader in the prediction market, with significant room for future market expansion, hence the capital bet is justified.

Skeptics: Consider that core metrics such as current TVL, trading volume, etc., are still insufficient to support the high valuation, resembling a typical case driven by venture capital.

The valuation of prediction markets often relies on future narratives rather than current data. This pricing method can lead to market discrepancies and may amplify potential bubble risks. The industry still needs a more transparent and unified set of metrics.

3. Codex 5.4 Real-time Reverse DOS Game, Cryptocurrency Community Witnesses AI Coding Leap

A developer demonstrated the full process of reverse-engineering the DOS game "SkyRoads" within 6 hours using Codex 5.4: completing asset unpacking, EXE disassembly, renderer reconstruction, and finally rebuilding a runnable version in Rust without the source code, while publicly sharing all hints and development process. Another developer used GPT-5.4 to port the same game, achieving in just 2 hours what previously took GPT-5.2 two days of development progress. Additionally, an engineer showcased an AI programming automation workflow: pulling tasks from Linear via a cron job, assigning them to a worker agent, and using Linear comments as a thinking draft log.

Overall, there is relatively little controversy. Most people see it as a significant advancement in AI programming capabilities, with a small amount of discussion focusing on technical details such as the differences in efficiency and engineering structure between languages like Rust and Zig.

Summary of Different Views

Advocates: Believe that AI programming capabilities are undergoing a significant leap forward, which can greatly accelerate reverse engineering, a gaming renaissance, and the automation of complex development processes.

Practitioners: Believe that it is still necessary to combine professional tools to verify the boundaries of these capabilities, seeing the current state as more of a critical starting point.

The AI programming ecosystem is rapidly evolving but still heavily relies on specific models and toolchains. Keyword hints and open sharing of development processes have become important factors for improving replicability and avoiding closed ecosystems.

4. bharat_usd One-Liner Viral Comment: SF Scams NYC, NYC Scams Abu Dhabi

User bharat_usd's brief comment received 1.2 million views. The viewpoint suggests that the current global capital narrative chain roughly goes as follows: Silicon Valley (SF) convinces New York City (NYC) with an AI growth story, and then New York City further convinces Abu Dhabi with a private credit story.

This statement quickly spread on social media, with many users considering it a highly summarized view of the current global capital flow logic.

The overall discussion is quite unanimous, with most comments agreeing that this description accurately reflects the narrative transmission and capital circulation between different financial centers. Some users also added that similar logic exists in fields such as healthcare and real estate. Some comments further pointed out that this chain reveals the interdependencies between different levels of the global financial narrative and the implied uncertainty premium within it.

In the global capital markets, funds often flow along a narrative chain crossing financial centers. Once there is a deviation in expectations at any link, risks may rapidly spread along this capital chain.

5. Should the Prediction Market Price War? Industry Debate Heating Up

Harry Crane published the article "War (Markets): What Are They Good For?" which systematically examines the core controversy surrounding the war prediction market.

Polymarket previously closed markets related to nuclear explosions under external pressure; meanwhile, Kalshi froze $54 million in related positions citing a "death exemption" clause. However, the platform had previously settled markets related to Jimmy Carter normally, sparking further discussion due to this difference.

A scholar in the prediction market field has cited a critical view pointing out that prediction markets may encourage information advantage holders to profit from sensitive information, leading to information bias. However, some people also believe that market prices themselves still have significant information aggregation value. The discussion has gradually extended to issues such as ethics, national security, and information efficiency.

The core of the controversy lies in whether a war prediction market should be allowed to exist.

Summary of Different Views

Supporters: They believe that a war prediction market is similar to oil futures, which can be used to hedge real economic risks while providing information aggregation to the public.

Opponents: They believe that profiting from war events is morally unacceptable and may incentivize sensitive information leakage, therefore requiring strengthened regulation or even restrictions.

When prediction markets touch on sensitive topics such as war, the boundary between ethics, regulation, and information value becomes more blurred. How to strike a balance between information efficiency and public trust remains a key issue that the industry needs to address.

II. Mainstream Ecosystem Updates

【Solana Ecosystem】

1. Solana Sees $650 Billion Stablecoin Trading Volume in February, Reaching an All-Time High

According to official Solana data, the stablecoin trading volume in February reached $650 billion, surpassing any other blockchain network and doubling the previous record. A Grayscale report noted that this data has been adjusted for internal smart contract transactions, bot behavior, and high-frequency trading disturbances.

Meanwhile, Backpack founder Armani Ferrante emphasized that in the AI era, fundamental computer science knowledge remains indispensable. He suggested that developers systematically learn underlying knowledge such as programming languages, computer architecture, matrix optimization, Fourier transforms, calculus, and linear algebra to build new technological abstractions in the AI era.

The community widely views this data as a signal of Solana's leading position in the payment and capital market infrastructure field. Some comments suggest that this marks the gradual migration of the financial system to the blockchain and further amplifies the potential of AI infrastructure overlay. Others point out that understanding the underlying technology will still determine the boundaries of ecosystem development. As one comment put it: "AI will not make programming knowledge obsolete, just as interpreted languages have not made compiled languages disappear."

Overall, this data highlights Solana's role as a high-performance network in the stablecoin and AI agent ecosystem infrastructure and may accelerate the institutional payment and capital market migration to the blockchain.

2.cottonxbt: Solana Does Not Yet Have Its Own 'Saylor'

Cryptocurrency user cottonxbt asked on social media: Bitcoin has Michael Saylor, Ethereum has Tom Lee, BNB has CZ, so who is Solana's iconic evangelist?

Community-provided answers include toly (Anatoly Yakovenko), mert, and others, with some believing that Solana intentionally avoids forming a single central figure to maintain the decentralized structure of the ecosystem. Some users humorously responded with names like Epstein or Kilroy.

The overall discussion tends to believe that this phenomenon to some extent reflects Solana's decentralization narrative advantage, namely "no central point of failure." Some comments suggest that toly has actually already taken on a similar role, but the ecosystem still needs more long-term evangelists; others believe this reflects Solana's brand narrative is still immature.

The lack of an iconic figure both strengthens the decentralized nature of the infrastructure and may bring uncertainty to the brand narrative, thereby affecting institutional onboarding pace and user perception.

【ETH / Base】

1.Brian Armstrong: Coinbase Custodies Over 12% of Global Crypto Assets

Coinbase CEO Brian Armstrong stated that the company currently serves thousands of financial institutions, custodies over 12% of the global crypto asset supply, and provides custody support for most U.S. spot crypto ETFs.

At the same time, Coinbase announced upgrades to the Coinbase Prime platform, including: 24/7 futures and perpetual contract trading; customizable trading interface; cross-margin and portfolio margin management; integrated spot, futures, lending, custody, and derivative services.

The platform emphasizes its experience and infrastructure capabilities accumulated over the past decade in the institutional service field.

The community generally views this data as a signal of the gradual maturation of institutional custody and trading infrastructure. Some comments suggest that this further strengthens Coinbase's trust barrier and industry position; there are also views pointing out that a unified cross-margin mechanism may significantly improve institutional capital efficiency and TVL scale. As stated in one comment: "Trust is expensive."

This custody share implies that institutional funds are entering the crypto market at an accelerating pace and may continue to drive the on-chain financial infrastructure evolution of the Base ecosystem in the long term.

2.Sir_Damilare: 8 months ago couldn't leave CEX, now travels the world with Base's USDC

Base ecosystem user Sir_Damilare shared his personal experience, stating that eight months ago he still used a centralized exchange at least once a week, and now has fully transitioned to the on-chain ecosystem.

He mentioned that he can now use USDC for spending in multiple countries through products built on Base by developers, including: a global spending-enabled USDC card; a direct USDC payment tool; local currency exchange services.

These products have expanded to over 20 countries and support cross-border spending scenarios.

The community broadly sees this case as a signal of the gradual realization of the Base on-chain economy. Some comments believe that this marks the expansion of the developer ecosystem globally and is driving the improvement of crypto payments' usability. Some also point out that diversified products are gradually addressing pain points in real-world payment scenarios. As one comment puts it: "One step at a time."

This user behavior change reflects Base's potential as an L2 network in payments and the developer ecosystem, and may drive more users from emerging markets into the on-chain economic system.

【Perp DEX】

1.Since TGE, Lighter has bought back 7.48 million LIT, about 3% of the circulation

Perp DEX protocol Lighter disclosed that since the Token Generation Event (TGE), the protocol has accumulated a buyback of 7.48 million LIT through a daily programmatic buyback mechanism, representing about 3% of the current circulating supply.

The project team stated that all the value generated by Lighter products and services belongs entirely to LIT holders. The protocol is based on a custom ZK circuit, enabling low-cost, low-latency digital asset trading on the Ethereum L2 and supporting verifiable matching and clearing.

The community generally sees the buyback as a signal of increased deflationary pressure on the token's economic model. Some comments believe that the buyback mechanism strengthens value capture, but more transparency is still needed. Some also question whether the profit distribution method is clear enough, as one comment suggests: "How is this value distributed? Or do we just have to trust you?"

The Continuous Repurchase Mechanism helps strengthen Lighter's tokenomics sustainability in the Perp DEX race track, but the uncertainty of pre-TGE revenue distribution may still impact holder trust and ecosystem development.

2. Muyao: Cryptoperp Becomes the Sole Open Window for Pricing in the Middle East Situation

As the Iran war enters its second week, significant volatility has been observed in the Hyperliquid's oil, gold, and silver perpetual contracts. The crypto market is gradually becoming the sole open window for traders to real-time price geopolitical risks, as traditional financial markets cannot achieve 24/7 continuous trading.

This observation is based on a Bloomberg report, emphasizing the new role of crypto perps in the global risk pricing system.

The community widely believes that this reflects the unique infrastructure value of crypto perpetual contracts in global event pricing. Some comments suggest that platforms like Hyperliquid are already ahead of traditional markets in real-time access and weekend trading; others point out that funding rates can more accurately reflect hedging demand. As one comment puts it: "The funding rate of perpetual contracts is the cleanest signal."

With geopolitical risks persisting, crypto perps may gradually evolve into institutional-grade risk pricing tools and drive user behavior towards a real-time, decentralized trading system.

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