2026-04-17 Sexta

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"Marking the Boat to Find the Sword"-Style Price Predictions Go Viral: The Practical Logic and Flaws of Mystical Prophecies

"Carving the Boat to Find the Sword"-style cryptocurrency price predictions, which rely on historical pattern analogies, have gained popularity during uncertain market phases. Analysts like CryptoBullet and KillaXBT use methods such as "tick-tock fractals" and historical rhythm analysis to predict market tops, bottoms, and trends, often claiming accuracy rates of 75–80%. While these predictions sometimes align with actual movements—such as correctly identifying a downturn in January 2026—they often miss precise price levels or timing. The appeal lies in three factors: market cycles often rhyme due to recurring liquidity and sentiment patterns; common technical indicators show similar predictive power but lack visual simplicity; and survivorship bias amplifies the perception of accuracy, as failed predictions are often ignored or deleted. However, these methods are flawed in practice. They offer directional guidance rather than executable trading strategies, lacking precise entry/exit points, stop-loss levels, or clear failure conditions. For instance, predicting a October 2025 top without specific price targets or risk management rules provides little actionable insight. Ultimately, while historical analogies can help identify market phases, they should not be mistaken for reliable trading signals. History rhymes—but never repeats exactly.

marsbit03/13 07:36

"Marking the Boat to Find the Sword"-Style Price Predictions Go Viral: The Practical Logic and Flaws of Mystical Prophecies

marsbit03/13 07:36

Free Mirror or Land Grab? OpenClaw Founder Blasts Tencent for Copying

OpenClaw founder Peter Steinberger publicly criticized Tencent for creating SkillHub, a localized platform mirroring OpenClaw, accusing the tech giant of copying without supporting the project. Tencent responded by clarifying that SkillHub acts as a local mirror site, properly attributing OpenClaw as the data source and reducing bandwidth strain on the origin server by processing significant traffic locally. It also expressed willingness to become a sponsor. However, Steinberger remained unsatisfied, emphasizing that the core issue was not technical but ethical—Tencent failed to communicate beforehand. The dispute highlights deeper concerns about big tech’s approach to open-source ecosystems: while mirroring is common and often legal under open-source licenses, Tencent’s move is seen as an attempt to control user access, distribution channels, and future commercial influence within the AI agent ecosystem. The incident reflects a broader pattern in China’s internet industry, where major companies rapidly embrace emerging technologies like OpenClaw not purely for innovation, but to capture entry points, traffic, and platform dominance. By offering localized, convenient services, they risk enclosing open ecosystems within their own walled gardens—ultimately dictating which tools get visibility, monetization, and user adoption. As OpenClaw gains explosive popularity in China, the episode underscores a tension between open-source ideals and commercial strategies, where convenience may come at the cost of community autonomy and long-term openness.

Odaily星球日报03/13 07:13

Free Mirror or Land Grab? OpenClaw Founder Blasts Tencent for Copying

Odaily星球日报03/13 07:13

AI Agents Are Starting to Register Email Accounts Themselves: This YC-Backed Company Raised $6 Million to Do Just One Thing

AI agents are now autonomously registering email accounts through AgentMail, a San Francisco-based startup that recently secured $6 million in seed funding. The company, backed by General Catalyst, Y Combinator, and prominent angels, is building email infrastructure specifically designed for AI agents—not humans. Unlike traditional email services, AgentMail provides API-first access, allowing AI agents to programmatically create accounts, send/receive emails, manage threads, and handle authentication without human intervention. This addresses a critical gap: while AI agents can perform complex tasks, they lack the identity layer (email) required to interact with most internet services. Key capabilities enabled by AgentMail include third-party authentication, bidirectional communication, automated audit trails, and multi-threaded conversations. The platform already serves thousands of human users and hundreds of thousands of AI agents, with use cases spanning supply chain coordination, customer support, loan collection, and procurement negotiations. Notably, AI agents are proactively seeking out and registering for AgentMail themselves—a sign of growing autonomy. This shift underscores a broader trend: AI agents are evolving from tools into active internet participants, necessitating new infrastructure tailored to their needs. As Box CEO Aaron Levie predicts, AI agents will soon become the primary users of software, vastly outnumbering human users in enterprises. AgentMail’s vision positions email as the foundational identity layer for this agent-centric future.

marsbit03/13 07:06

AI Agents Are Starting to Register Email Accounts Themselves: This YC-Backed Company Raised $6 Million to Do Just One Thing

marsbit03/13 07:06

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