Release Date: March 3, 2025
Author: BlockBeats Editorial Team

In the past 24 hours, the cryptocurrency market has witnessed a multi-faceted dynamic, ranging from macroeconomic discussions to the development of specific ecosystems. Mainstream topics focus on the leap in capabilities of small models and the trend of local deployment, the boundary disputes between AI companies and governments, as well as the fluctuations in energy prices and the repricing of risks triggered by sudden events in the Middle East; at the same time, breakthroughs in quantum computing have also been included in discussions of long-term technological competition. In terms of ecological development, Ethereum is advancing ePBS and anti-MEV routes, while Base is accelerating its layout for AI Agent infrastructure and on-chain incentive quantification mechanisms; the competitive upgrading of prediction markets regarding transaction volume and rule transparency, with Nasdaq signaling its entry; Perp DEX is enhancing its institutional advantages under macro volatility with 7x24 trading capabilities.

1. Mainstream Topics

1. Qwen 3.5 Launches: Open Source Models Running on Mobile, Defeating 4x Larger Competitors

The Alibaba Qwen team released the Qwen3.5 small model series, covering versions with parameters of 0.8B, 2B, 4B, and 9B, focusing on "smarter, less computation," supporting multi-modal capabilities, architecture optimization, and enhanced reinforcement learning training. The official announcement emphasized its application scenarios for edge devices: 4B is suitable for lightweight agent applications, while 9B's performance approaches that of larger models. Developer tests showed that the 2B 6-bit quantization version can run smoothly on an iPhone through MLX acceleration, supporting inference switches; many users interpret it as "powerful agents operable locally," recommending deployment in conjunction with tools like LM Studio. There are also data comparisons indicating that the 4B's performance is close to that of the previous generation 80B A3B, while the 9B is compared to higher-parameter open-source models, with 0.8B and 2B deemed suitable for offline mobile usage scenarios.

Debate in overseas communities focuses on whether there is a gap between the true capabilities of the model and its promotion. Some supporters believe that the leap in small model performance indicates that AI is genuinely moving toward localized and decentralized deployment, with edge computing and personal devices gaining unprecedented capability release; skeptics remind that benchmark test scores do not equate to stable performance in complex real-world scenarios, especially in long chain reasoning and complex decision-making tasks, where small models still display clear limitations.

Behind the differing positions lies a long-standing tension: a lack of unified evaluation standards between parameter scale, benchmark performance, and real application capabilities. When "small yet powerful" becomes the narrative focus, the industry is eager to break free from scale worship but also struggles to escape its reliance on test scores, with this structural contradiction persisting.

2. Aftershocks of the Anthropic DoD Incident: Sam Altman Shares Principles, Packy Discusses "Hype Tax," ChatGPT Uninstall Rates Surge

Anthropic's decision to refuse collaboration with the U.S. Department of Defense has triggered ongoing turbulence in the industry. Subsequently, Sam Altman published an internal email clarifying OpenAI's collaboration boundaries, including not developing autonomous weapons without supervision, not participating in domestic surveillance against U.S. citizens, not providing services to specific intelligence agencies, and admitting that previous contract disclosures were too rushed, while calling for not viewing Anthropic as a supply chain risk. Commentators quote views stating that Anthropic's excessive use of "nuclear weapon" analogies elevates its position, leading to increased government vigilance, which is a form of "Hype Tax." Analyses indicate that this incident is not an isolated case but the result of long-term strategic communication errors, the costs of which may include a loss of policy influence and potential revenue. Meanwhile, media reports mention that following Anthropic's launch of the "memory migration" tool, some users have shown a trend of migrating to Claude.

The crux of the disagreement centers on how AI companies should handle the relationship between national security and business ethics. Supporters of OpenAI emphasize that "responsible collaboration within a democratic framework" is the realistic path, believing that Anthropic's position is overly idealistic and even arrogant; supporters of Anthropic view it as a symbol of adherence to privacy and principles, criticizing OpenAI for continuously adjusting boundaries under commercial pressure. Some more neutral voices contend that while the government’s response is indeed harsh, the strategic expression of businesses is also lacking prudence.

This incident exposes an unavoidable structural tension between AI companies and governments: when technology is given "strategic-level" significance, any excessive self-mythologizing or opaque contract arrangements amplify public distrust. The industry urgently needs a clearer, auditable ethical framework; otherwise, the rift between commercial expansion and value commitment will only further widen.

3. Details of Khamenei's Assassination Exposed, Oil Prices Plummet, Geopolitical Risk Premium in Crypto Market Eases

The Financial Times revealed that Israel has been infiltrating Tehran's traffic camera systems for years to monitor related personnel, ultimately executing a precise attack on Iran's supreme leader. Subsequently, some analysts pointed out that the U.S. military deployment in the Gulf region is being reshuffled, and Iran may be further pushed into China's sphere of influence while Israel deepens integration with Gulf countries; others believe that in a multipolar pattern, cryptocurrencies may become a new layer for geopolitical settlement. Following the incident, international oil prices dropped significantly, leading to the easing of the geopolitical risk premium previously priced into the crypto market.

The debate centers around whether the so-called "geopolitical restructuring" truly exists. One faction sees this as a sign of the accelerated formation of a multipolar order, with marginal contraction of U.S. military influence and regional power being reshuffled, making the logic of crypto assets as an alternative settlement layer clearer; another faction questions the grand narrative, claiming it lacks direct evidence and believes the market is primarily hedging against short-term risks rather than entering a new phase of "meticulous layout."

The differing interpretations reflect a deeper issue: in a highly infiltrated intelligence warfare environment, any sudden action can trigger drastic fluctuations in energy and financial markets. The frequent inclusion of crypto assets in "geopolitical hedging" narratives indicates that the limitations of the traditional financial system regarding sanctions and settlements remain unresolved, and the transition to multipolarity is still fragile and fraught with uncertainty.

4. Quantum Computing Surpasses Threshold Considered Impossible 30 Years Ago

An article titled "SUPERPOSITIONED: Quantum Situation Awareness" pointed out that quantum computing crossed a technical threshold considered difficult to achieve decades ago in 2025, including key milestones like error correction algorithm optimization, while sorting through government and private sector investments in the hundreds of billions and the landscape of major participants, and exploring its potential applications in drug discovery and complex optimization. The author positions it as a continuously updated industry draft.

The community's division centers on the prioritization between quantum technology and AI narratives. Some believe that quantum computing has crossed a critical threshold and will develop in parallel with AI, especially in the fields of quantum security and high-complexity computing with strategic significance; others argue that the related discussions lack actionable investment and implementation pathways and remain more at the macro vision level.

The debate reveals the fragmentation of information structures: the quantum field is highly specialized, with publicly available data being scarce and dispersed, leading to delayed public perception. In an AI-dominated discourse environment, quantum narratives struggle to maintain continuous attention and lack a platform for systematic integration, and this structural imbalance may hinder cross-domain collaboration.

5. Claude Launches Voice Mode

Claude Code, a subsidiary of Anthropic, has launched a voice mode, phasing it in for users. Users can speak by holding down the spacebar, and when released, an automatic transcription occurs, supporting mixed input of voice and text, with no additional charge, and transcription usage not counted against quotas, applicable to Pro, Team, and enterprise plans.

Community discussions focus on completeness of functionality and expandability. Supporters believe that this seamless embedded voice input significantly reduces prompt costs and enhances workflow efficiency; many users hope to add voice output features and even open SDK and API interfaces for integration into other products.

The discussions from differing positions point towards a trend: AI tools are shifting from pure text interaction to multi-modal experiences, but incremental openings and phased deployments have also raised questions about fairness and accessibility. As functionalities spread in a "grayscale release" manner, resulting in layered user experience, balancing innovation pace and user inclusivity becomes a new challenge in product evolution.

2. Mainstream Ecological Dynamics

[Ethereum / Base]

1. Vitalik Details Glamsterdam Roadmap: ePBS Decentralizes Block Construction

Vitalik Buterin further dissected the ePBS mechanism in Ethereum's Glamsterdam upgrade, proposing to strip block construction rights from proposers and outsource them to a permissionless open market to prevent builders' power from penetrating the staking layer. The roadmap also includes the FOCIL mechanism, which mandates the inclusion of transactions by 16 randomly selected attesters to enhance anti-censorship capabilities, envisioning the expansion of coverage through Big FOCIL and further weakening the role of builders. Additionally, it includes a cryptographic mempool to alleviate toxic MEV (e.g., sandwich attacks), network-layer anonymization (e.g., privacy routing such as Tor and mixnet), and a long-term vision for distributed block construction, aiming to reduce costs associated with transactions that depend on global state.

Community perspectives generally view ePBS as a key signal for Ethereum's strengthening decentralization and MEV resistance capabilities, believing that the path from ePBS to FOCIL, and then to Big FOCIL reflects a systematic decomposition of block construction authority. Some commentators argue that this evolution indicates that block construction is transitioning from dominance by a few participants to a market structure with more commoditized characteristics; others point out that the realization of network-layer anonymization and cryptographic mempool still requires broader client and protocol support. A viewpoint summarizes: "The evolution from ePBS to FOCIL to Big FOCIL clearly indicates that Ethereum is systematically weakening the power of centralized participants until block construction becomes a commodity."

The roadmap signals Ethereum's ongoing evolution towards anti-censorship and distributed construction, yet the related mechanisms still encounter uncertainties in complexity and technical implementation.

2. Venice AI Becomes Recommended Model Provider for OpenClaw (Recommendation Now Removed), Base AI Agent Ecosystem Accelerates

Erik Voorhees previously announced Venice AI as the recommended model provider for the OpenClaw framework on the Base chain, emphasizing its privacy-first local inference capabilities and suggesting the GLM 4.6 model to replace the default Llama 3.3 model; however, the recommendation has since been removed from official documentation. Meanwhile, the Base Builder Quest has concluded, attracting over 125 OpenClaw AI Agent projects to participate, distributing 5 ETH rewards, covering areas such as prediction markets, bounty mechanisms, free token issuance tools, NFT-based AI lifecycle, digital cloning interactions, and liquidity management.

The community generally views this series of actions as a signal of the Base AI Agent ecosystem moving from conceptual stage to the construction of standardized technology stacks, believing that the combination of privacy inference and on-chain autonomous Agents is forming a replicable pathway. Some commentators see this as providing space for open-source collaboration and framework integration; others note that Venice is not a completely private architecture, and data could still be read by network nodes, while the removal of recommendation information has sparked discussions about the stability of collaboration. Relevant commentary mentioned: "We hope to integrate it into our crypto-native OpenClaw fork version."

Base is building an AI Agent infrastructure centered on privacy, yet model selection and collaboration stability remain potential variables.

3. Brian Armstrong: Base Builder Codes Quantify On-Chain Referral Contributions of Each Application

Coinbase CEO Brian Armstrong launched the Base Builder Codes mechanism (based on ERC-8021), allowing applications and protocols to tag on-chain user sources through transaction suffix labels, thus quantifying their referral contributions. Developers must register a unique code NFT, bind metadata and revenue addresses, and complete integration through the official library. This mechanism is set as the sole basis for future reward programs, with projects like Aerodrome and Moonwell being the first to adopt it.

The community generally interprets this move as a structural upgrade of Base's incentive mechanism from subjective judgment to on-chain verifiable data, believing that quantifying influence provides a more transparent basis for reward distribution. Some commentators consider it as an attempt towards meritocracy; others point out that the privacy issues arising from historical contribution traces and transaction tagging still need careful evaluation. A typical response is: "based."

Builder Codes release a long-term direction centered on data-driven growth and incentive restructuring, yet privacy costs and definitions of fairness remain to be validated.

[Prediction Markets]

1. Kalshi Election Center Launched, Weekly Transaction Volume $2.72B Surpasses Polymarket

Kalshi has launched an election real-time tracking Hub, integrating Associated Press voting data with platform trading information to achieve dynamic monitoring across multiple tracks. Data shows that its weekly transaction volume has reached $2.72 billion, surpassing Polymarket's $2.40 billion, ranking first in the market. Meanwhile, Kalshi's CEO announced the settlement rules for markets related to Khamenei, clarifying that settlement will be based on the last transaction price before death, reimbursing all costs and emphasizing avoiding direct profits from the death outcome.

The community generally views the leading transaction volume as a signal of the accelerating fusion between traditional prediction markets and on-chain trading forms, believing that the public settlement logic helps enhance transparency. Some commentators criticize the previous rules for being unclear, which may impact trust; others view it as a public test in a high-stakes event environment. Relevant commentary states: "Kalshi and Polymarket are leading the market, and there is a significant gap between the third place and the top two."

Prediction markets are evolving towards实时数据集成与规则透明化方向演进，但制度设计的边界仍存在不确定性。

2. Bloomberg Reports Nasdaq Attempts to Enter Prediction Markets (Binary Options)

Bloomberg reports that Nasdaq plans to launch binary options products linked to the Nasdaq-100 Index, using yes/no contract structures, with a price range of $0.01 to $1 to reflect market probability expectations. This will mark Nasdaq's official entry into prediction market-related products, still requiring approval from the U.S. Securities and Exchange Commission.

The community generally views this as validation from traditional exchanges for prediction market product forms, believing that institutions are incorporating probability-based trading into compliance frameworks. Some commentators argue that this marks the entry of prediction markets into the mainstream financial system; others point out that it is a compliant version closer to crypto platform paths. Comments state: "Nasdaq is replicating Polymarket with more complex steps."

Nasdaq's entry serves as an important variable in the institutionalization and mainstreaming of prediction markets, but the progress of regulatory approval will still determine its final landing form.

[Perp DEX]

1. Bloomberg Cites Hyperliquid Data, Reflecting the Value of 7×24h Trading

Bloomberg reports that Hyperliquid has reached a record high in its open interest scale in traditional asset futures markets, emphasizing the role of its 7x24 hour trading mechanism during geopolitical events, enabling traders to maintain continuous exposure to assets like oil prices during traditional market weekends. The report describes it as a supplement to the traditional trading time limitations of on-chain derivatives.

The community generally interprets this as a structural signal of crypto-native trading platforms absorbing the trading demands of traditional assets and believes that 24/7 trading capabilities demonstrate institutional advantages in macro volatility environments. Some commentators point out that this may mean around-the-clock trading is becoming the new normal. A representative comment is: "As the open interest for traditional asset futures hits a historical high on perpetual contract DEXs, geopolitical volatility is also intensifying simultaneously, which is gradually becoming a new normal."

Hyperliquid's expansion strengthens the trend of perp DEXs evolving into global macro risk hedging tools, but the sustainability of its growth still depends on the market environment and the density of risk events.

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。