NO/FOMO

Independent AI signal, once a day

The AI briefing worth opening.

ISSUE DATE2025-11-15ENGLISH EDITION
This issue
—
All time
—

Hacker News

3 stories
01

Markdown files are not openable because of GitHub Copilot

A critical issue has been reported by users where the presence of GitHub Copilot is rendering Markdown files unopenable within their development environment, presumably Visual Studio Code given the source URL. This unexpected interaction suggests a conflict or bug in how GitHub Copilot, an AI-powered coding assistant, integrates with or impacts the core functionalities of the IDE, specifically file handling for common document types like Markdown. The problem poses a significant impediment to developer workflow, as Markdown files are widely used for documentation, project descriptions, and READMEs. Investigating the root cause, which could range from resource contention to extension conflicts or direct interference by Copilot's processes, is crucial to restore seamless functionality and ensure AI assistance enhances, rather than hinders, productivity for developers relying on both technologies.

GitHub CopilotVS CodeMarkdownSoftware BugIDEArtificial IntelligenceLarge Language ModelAI Agent
02

Some Economics of Artificial Super Intelligence

The article "Some Economics of Artificial Super Intelligence" explores the potential economic implications arising from the development and deployment of Artificial Super Intelligence (ASI). It delves into theoretical frameworks for understanding how an ASI, with capabilities vastly exceeding human cognition, could transform global economies, labor markets, and resource allocation. Discussions likely include the potential for unprecedented productivity gains, the radical redistribution of wealth, the nature of work in an ASI-dominated world, and the challenges of managing such a powerful economic force. Key considerations might involve the impact on scarcity, the role of human capital, and the societal structures required to adapt to a post-scarcity or highly automated economic landscape. The analysis would aim to provide foundational insights into the profound shifts that ASI could introduce, necessitating a re-evaluation of current economic models and policies.

Artificial Super IntelligenceEconomic ImpactFuture of WorkResource AllocationProductivityArtificial IntelligenceAI AgentOthers
03

The computer poetry of J. M. Coetzee's early programming career

This article explores the largely unexamined intersection of renowned Nobel laureate J. M. Coetzee's early career in computer programming and its potential influence on his acclaimed literary works. Delving into a period before his prominence as a novelist, the piece uncovers Coetzee's engagement with computational systems, focusing specifically on his 'computer poetry.' It investigates how his practical experience with programming might have shaped his narrative structures, thematic concerns, and unique authorial voice, drawing parallels between algorithmic thinking and literary composition. The analysis posits that Coetzee's early computational work was not merely a historical footnote but a formative experience that introduced him to concepts of language as system, formal structures, and generative processes. This perspective offers new insights into the intellectual underpinnings of his writing, suggesting a previously overlooked dimension where logic, code, and creative expression converge, potentially revealing proto-computational literary experiments.

Computational creativityGenerative textProgramming historyDigital humanitiesLiterary analysisNatural Language ProcessingGenerative AIArtificial Intelligence

GitHub

3 stories
01

TrendRadar

TrendRadar is an open-source, lightweight, and easily deployable hot topic aggregation and intelligent notification assistant. It eliminates information overload by providing personalized news from over 11 mainstream platforms, including Weibo, Douyin, Zhihu, and financial news sources. Key functionalities include smart push strategies (daily summaries, current rankings, incremental monitoring), precise content filtering using custom keywords with advanced syntax, and dynamic trend analysis that tracks news hotness and evolution across platforms. A unique personalized algorithm prioritizes high-ranking and consistently appearing news. The system supports multi-channel real-time notifications via WeChat Work, Feishu, DingTalk, Telegram, Email, and ntfy, alongside multi-terminal adaptation through GitHub Pages and Docker. Version 3.0.0 introduced AI intelligent analysis, leveraging the MCP protocol for natural language queries and 13 analytical tools, enabling deep data insights, trend tracking, and summary generation. TrendRadar aims to empower users to proactively acquire desired information, suitable for investors, media professionals, and PR teams.

Hot News MonitoringTrend AnalysisContent AggregationReal-time NotificationAI AnalysisArtificial IntelligenceNatural Language ProcessingAI Agent
02

Agent Development Kit (ADK) for Go

The Agent Development Kit (ADK) for Go is an open-source, code-first toolkit designed for building, evaluating, and deploying sophisticated AI agents with enhanced flexibility and control. This modular framework applies established software development principles to AI agent creation, simplifying the design and orchestration of workflows ranging from simple tasks to complex multi-agent systems. While optimized for Google's Gemini models, ADK maintains model-agnosticism and deployment-agnosticism, ensuring broad compatibility across different AI models and deployment environments. The Go implementation of ADK is specifically tailored for developers creating cloud-native agent applications, capitalizing on Go's inherent strengths in concurrency, performance, and robustness. Its key features include an idiomatic Go design, a comprehensive tool ecosystem enabling agents with diverse capabilities, and a code-first development approach for maximum control, testability, and version management of agent logic. Furthermore, ADK facilitates the creation of scalable, modular multi-agent systems and offers strong support for containerization and deployment in cloud-native environments such as Google Cloud Run.

AI Agent DevelopmentGo Programming LanguageCloud-Native ApplicationsMulti-Agent SystemsAgent OrchestrationArtificial IntelligenceAI AgentMachine Learning
03

➤ Cursor Free VIP

The GitHub repository 'Cursor Free VIP' offers a cross-platform utility for Windows, macOS, and Linux, designed to enhance the Cursor AI coding environment. This tool enables users to reset Cursor's configuration and provides multi-language support, including English, Simplified Chinese, Traditional Chinese, and Vietnamese. Emphasizing its purpose for educational and research use, the project clarifies that it does not generate fake email accounts or OAuth access, promoting ethical engagement. It features automated installation scripts for various operating systems and extensive configuration options for customization, making it a valuable resource for managing and experimenting with Cursor setups. The project, which supports the latest Cursor versions, also includes detailed instructions for optimal performance, such as running with administrative privileges, and actively encourages community contributions.

Cursor AIDevelopment ToolConfiguration ManagementCross-platform utilityScript AutomationArtificial IntelligenceLarge Language ModelAI Agent