Crypto AI热度再起,市场最近在炒什么?

Odaily星球日报Published on 2025-06-03Last updated on 2025-06-03

Abstract

大模型通关宝可梦后,Crypto AI又起了一波热度。

随着越来越多的 AI 模型挑战「通关」宝可梦游戏,前段时间的 Gemini 2.5 Pro 独立通关初代《宝可梦》谷歌的现任 CEO Sundar Pichai 和 DeepMind 负责人 Demis Hassabis 甚至同时发表推文庆祝了这一时刻。加上 Anthropic 的 Claude 和前几日的 OpenAI 独立获得两个宝可梦红的道馆徽章,越来越多的大模型成为了「宝可梦迷」,但让 AI 玩「宝可梦」比让 AI 「下棋」更有时代意义。

Crypto AI热度再起,市场最近在炒什么?

莫拉维克在上个世纪 80 年代提出的莫拉维克悖论曾认为「人类觉得容易的任务对人工智能来说其实更困难,反之亦然」的观点,「要让电脑如成人般下棋相对容易,但让它拥有像一岁孩童般的感知和行动能力,却相当困难、乃至是不可能的」。

而正在「独立」挑战游戏的 AI 似乎逐渐开始拥有自己的感知和行动力,因此 Crypto AI 在交易部分一直被认为无法加入对市场「情绪直觉」的因素可能也会在未来的某个时间点被攻破。而近期火热的 InfoFi 加上 MCP 等概念也让 AI Agent 充满了更多的可能性,现在市场有什么可以炒的 AI Agent 呢?

Axelrod

Axelrod 是 AIxVC 的旗舰 AI 代理,设计为像对冲基金一样管理资本的 AI。它使用 AI 技术适应用户风险偏好,协调其他代理,并在链上进行交易,旨在消除投资中的情感偏差。其能根据个人用户风险偏好动态调整投资策略,与 Gigabrain、Memo 等其他 AI 代理协作优化交易策略。当下已经支持 Base、Solana

Crypto AI热度再起,市场最近在炒什么?

它的代币 $AXR 用于解锁高级功能、降低费用、定制策略、治理和质押奖励。其代币最高市值 1800 万美元,现报价 1600 万美元。

Crypto AI热度再起,市场最近在炒什么?

Arbusai

Arbusai 是一个 AI 驱动的市场情报平台,专注于 Web3 生态系统,为 AI/DeFAI 代理和 dApps 提供实时数据基础设施。它提供工具如 Arbus 终端,用于研究、趋势分析、情感跟踪和项目发现,帮助用户识别投资机会。

它与多个 Web3 项目合作,包括 lunarcrush.com、virtuals.io、thirdweb.com 等。它还与 Chiliz 合作,为 Chiliz 生态系统提供专用数据仪表板。跟许多 InfoFi 项目一样,在与 AI Agent 合作后利用社交信号的知情数据就能让「数据情报」更民主化。

其代币 ARBUS 最高市值突破 1100 万美元,现市值报价 900 万美元。

Crypto AI热度再起,市场最近在炒什么?

Avo

AVO 是一个交易 AI Agent 的市场,包括钱包跟踪、机构跟单、质押、空投猎手等等类型的 AI Agent。当下这个平台上主要出售链上的交易策略。

Crypto AI热度再起,市场最近在炒什么?

使用者可以根据自己能够承受的风险等级,使用 Avo 的保护避免被套利,以及选择是否参与流动性较低或未解锁的高风险代币。

Crypto AI热度再起,市场最近在炒什么?

AVO 在 5 月 30 日 Solana 的创始人 Toly 转发演示视频后一度突破 600 万美元市值,现回调至 200 万美元。

Crypto AI热度再起,市场最近在炒什么?

BasisOS

BasisOS 是一个去中心化协议,构建 AI 管理的跨链基础交易保险库,专注于 Hyperliquid 上的异国资产。它通过基础交易策略优化收益,结合 AI 进行自主市场监控和决策。数据显示,其总锁定价值(TVL)为 457 万美元,年化收益率(APY)为 11.44% ,年化百分比率(APR)为 523.76% ,吸引寻求高回报的 DeFi 投资者。

Crypto AI热度再起,市场最近在炒什么?

当前其官方代币 BIOS 曾在 5 月 16 日跌至 400 万美元,在半个月后币价增长近 5 倍,FDV 回到 3500 万美元,流通市值 1850 万美元。

Crypto AI热度再起,市场最近在炒什么?

Meet 48 

MEET 48 是全球首个专注娱乐领域的 AI-Agent 及 AIUGC 粉丝经济生态社区,被认为是目前全球规模最大的Web3应用项目团队之一,拥有 500 人规模的技术和研发团队,覆盖新加坡,香港,台北,东京、首尔和迪拜的区域运营网络。MEET 48 的目标在于用聚焦于 AIGC(Animation,IDOL、GAME 和 Comics)Z 世代潮流娱乐内容的 AI UGC 内容生态及图形化、智能化的元宇宙社交基座,实现Web3技术的社会化大规模应用 Mass Adoption。

Crypto AI热度再起,市场最近在炒什么?

Trending Cryptos

Related Reads

A Group of Suzhou Engineers Unexpectedly Attain Financial Freedom

In Suzhou, a group of engineers from Lianxun Instruments, a leader in optical communication testing equipment, have achieved remarkable wealth after the company's IPO. Listed just two months ago on the STAR Market, the company's stock price surged approximately 30 times, making it the only A-share stock priced above 2,000 yuan. This surge created substantial fortunes for nearly 100 technical employees who held a collective 15.91% stake through employee stock ownership platforms, valued at over 36 billion yuan at the current market cap. Among them, nearly 40 became billionaires, while even the smallest holdings exceeded 5 million yuan in value. Founded in 2017 by Hu Haiyang, Yang Jian, and Huang Jianjun, Lianxun Instruments was established to address China's reliance on foreign high-end testing instruments. The company grew rapidly with a strong focus on R&D, where technical staff make up nearly 80% of its workforce. Early implementation of employee stock plans helped retain this core talent. The company's explosive growth is fueled by booming AI computing demand, with clients including major global optical module leaders. Its revenue skyrocketed from 276 million yuan in 2023 to 1.194 billion yuan in 2025, turning a profit in 2024. The IPO has also generated massive returns for early investors, including Suzhou's state-owned capital, which saw a hundredfold return. This story reflects a broader trend in China's markets, where technology firms in AI, semiconductors, and optics are creating new wealth, rewarding engineers and technical teams who are now central to modern capital-driven success stories, marking a shift from previous eras dominated by internet and real estate tycoons.

marsbit1h ago

A Group of Suzhou Engineers Unexpectedly Attain Financial Freedom

marsbit1h ago

NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

NVIDIA's "Red Queen Gödel Machine" (RQGM) paper proposes a potentially groundbreaking AI self-evolution framework. It breaks from the long-stalled concept of the "Gödel Machine," which required mathematically proven beneficial self-modifications, by adopting an evolutionary approach. The core, and most striking, innovation is that the AI does not just evolve its own code in a static environment. Instead, it co-evolves both the "student" (the task-performing agent) and the "examiner" (the evaluation system that judges it). This creates a dynamic, recursive self-improvement loop inspired by the biological "Red Queen Hypothesis"—where continuous adaptation is needed just to maintain relative fitness. The mechanism operates in epochs. Within an epoch, a fixed examiner evaluates all candidate code variants. At epoch boundaries, a new, potentially more rigorous examiner can replace the old one, but only if it proves statistically superior on a held-out "ground truth" dataset. This "controlled utility evolution" aims to ensure progress is measurable and grounded. The paper demonstrates RQGM's effectiveness across three domains: 1. **Code Generation:** It achieved a 71.7% test-set pass rate (improving over a 69.9% SOTA) while using 1.35-1.72x fewer computational tokens. 2. **Paper Writing:** In a subjective task, the co-evolved writer and reviewer achieved a 40.5% acceptance rate by a fixed human panel, up from 21.8%. 3. **Math Proofs:** It evolved more accurate graders (at 3x lower cost) and higher-scoring provers. Notably, RQGM also mitigated a known LLM bias where AI reviewers favor AI-generated content. By specifically rewarding reviewers that correctly rejected AI-written papers from a historical pool, the evolved system achieved impartiality while maintaining 80% accuracy. The research has sparked significant discussion about the acceleration of Recursive Self-Improvement (RSI). Some, like Anthropic's Jack Clark, have predicted a high probability of highly autonomous, self-evolving AI emerging by 2028. The paper suggests that when an AI begins to design its own evaluators and push itself toward ever-higher standards in a recursive loop, it may be taking a fundamental step toward redefining intelligence and autonomy.

marsbit1h ago

NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

marsbit1h ago

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

Odaily星球日报3h ago

Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

Odaily星球日报3h ago

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

marsbit3h ago

Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

marsbit3h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片