# GitHub Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "GitHub", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

Someone Turned Buffett and Munger into Agents, Then Open-Sourced It...

The open-source project "AI Hedge Fund" has gained significant traction on GitHub, creating AI agents modeled after 12 legendary investors, including Warren Buffett and Charlie Munger, to analyze stocks and develop trading strategies. It features a team of 6 analyst agents that synthesize insights and make final decisions. The system includes a backtesting module to evaluate strategies with historical data before real investment. Built by developer Virat Singh, the project supports 13 major AI models and can run locally. It uses a React front-end with a visual workflow editor and a Python/FastAPI backend orchestrated with LangGraph. The agent team covers diverse philosophies, from value investing (Graham) to growth (Cathie Wood) and risk management (Taleb). While not proven in live markets, it offers a platform for learning agent frameworks and diverse investment perspectives through simulated expert debate. The project highlights a growing trend of "distilling" financial wisdom into AI, but users are cautioned about its unverified returns and investment risks.

marsbit04/14 11:16

Someone Turned Buffett and Munger into Agents, Then Open-Sourced It...

marsbit04/14 11:16

Hermes Agent Guide: Surpassing OpenClaw, Boosting Productivity by 100x

A guide to Hermes Agent, an open-source AI agent framework by Nous Research, positioned as a powerful alternative to OpenClaw. It is described as a self-evolving agent with a built-in learning loop that autonomously creates skills from experience, continuously improves them, and solidifies knowledge into reusable assets. Its core features include a memory system (storing environment info and user preferences in MEMORY.md and USER.md) and a skill system that generates structured documentation for complex tasks. The agent boasts over 40 built-in tools for web search, browser automation, vision, image generation, and text-to-speech. It supports scheduling automated tasks and can run on various infrastructures, from a $5 VPS to GPU clusters. Popular tools within its ecosystem include the Hindsight memory plugin, the Anthropic Cybersecurity Skills pack, and the mission-control dashboard for agent orchestration. Key differentiators from OpenClaw are its architecture philosophy—centered on the agent's own execution loop rather than a central controller—and its autonomous skill generation versus OpenClaw's manually written skills. Installation is a one-line command, and setup is guided. It integrates with messaging platforms like Telegram, Discord, and Slack. It's suited for scenarios requiring a persistent, context-aware assistant that improves over time, automates workflows, and operates across various deployment environments.

marsbit04/13 13:11

Hermes Agent Guide: Surpassing OpenClaw, Boosting Productivity by 100x

marsbit04/13 13:11

Alert Across the Internet! Claude Code Source Code Leak Triggers "Secondary Disaster": Hackers Set GitHub Phishing Traps

A major security alert is circulating online following the accidental leak of Claude Code's source code by Anthropic. Hackers are exploiting the incident by creating fake GitHub repositories that distribute the information-stealing malware known as **Vidar**. Posing as a user named `idbzoomh`, the threat actor set up multiple repositories claiming to offer "unlocked enterprise features" from the leaked source code. These repositories are optimized for search engines to appear at the top of results for queries like “Claude Code leak,” increasing their reach. If a user downloads and executes the provided files, the Vidar malware is deployed. It is a sophisticated stealer designed to harvest sensitive data such as browser credentials, cryptocurrency wallets, and personal information. The attack also installs **GhostSocks**, a proxy tool that establishes hidden communication channels for remote control and data exfiltration. Security firm Zscaler notes that these malicious repositories update frequently, making it easier to bypass basic security scans. At least two similar repositories have been identified, suggesting the same attacker is testing different distribution methods. This incident highlights the compound risks in the AI era, where initial human error leads to secondary threats like social engineering. Developers are urged to obtain software only through official channels and avoid executing untrusted binaries.

marsbit04/03 01:06

Alert Across the Internet! Claude Code Source Code Leak Triggers "Secondary Disaster": Hackers Set GitHub Phishing Traps

marsbit04/03 01:06

Anthropic Issues DMCA Takedown Notices, Massively Removes 8,100 Source Code Repositories

AI giant Anthropic has issued multiple DMCA takedown notices to GitHub in response to a major source code leak. The company is targeting illegally hosted repositories containing the code for Claude Code. As a result, GitHub has removed the main repository along with over 8,100 forked repositories, marking one of the largest code copyright clean-up operations in the AI industry. Contrary to initial reports of employee error, an internal investigation revealed the leak was caused by a bug in an internal packaging tool. This bug mistakenly included sensitive files and full TypeScript source code, which should have remained private, into a production build. While this finding shifts blame from employee misconduct, it highlights a critical security flaw in Anthropic's automated workflow. Despite the takedown, the code had already been downloaded by thousands of developers within 48 hours and widely shared on platforms like Telegram, cloud storage, and private Git servers, making complete eradication nearly impossible. The leaked code, which includes implementation logic and internal model fine-tuning instructions, continues to be actively analyzed by developers.

marsbit04/01 07:17

Anthropic Issues DMCA Takedown Notices, Massively Removes 8,100 Source Code Repositories

marsbit04/01 07:17

OpenAI Official Plugin Strongly Integrated into Claude Code

OpenAI has officially released the "codex-plugin-cc" on GitHub, enabling developers to integrate OpenAI’s Codex model capabilities directly into Anthropic’s command-line development tool, Claude Code. This cross-platform integration breaks down ecosystem barriers between major AI tools, allowing developers to leverage the strengths of both models without switching environments. With simple configuration, Claude Code becomes a versatile programming assistant combining the advantages of both companies. Key features include: - Standard code review via the `/codex:review` command, providing expert improvement recommendations and double-checking for logic errors. - Adversarial review using `/codex:adversarial-review`, which challenges design decisions to identify potential performance bottlenecks or security risks. - Task delegation through `/codex:rescue`, allowing complex debugging or repair tasks to be handed off to a Codex sub-agent for collaborative problem-solving. This integration enhances code quality and development efficiency through multi-model collaboration.

marsbit03/31 05:55

OpenAI Official Plugin Strongly Integrated into Claude Code

marsbit03/31 05:55

Cardano Founder Hoskinson Just Released A Free Book On Zero-Knowledge

Cardano founder Charles Hoskinson has released a free, 357-page book titled "Proving Nothing: A Layered Guide to Zero-Knowledge Proof Systems" under a Creative Commons license. Designed as a non-technical introduction, the book uses a seven-layer framework to explain ZK systems, covering topics from cryptography and proof systems to private smart contracts and zkVMs. Hoskinson stated the project aims to address the low understanding of ZK technology and also serves as an introduction to Midnight, Cardano’s privacy-focused network. The book is intended to be a living document, with plans to update it as Midnight develops and new advancements emerge.

bitcoinist03/30 13:32

Cardano Founder Hoskinson Just Released A Free Book On Zero-Knowledge

bitcoinist03/30 13:32

Microsoft Open-Sources Cutting-Edge Voice AI Family VibeVoice: Processes 90-Minute Multi-Speaker Conversations in One Go, Rapidly Gains 27K Stars on GitHub

Microsoft has open-sourced VibeVoice, a cutting-edge family of speech AI models for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). The project, gaining 27K stars on GitHub, offers powerful long-audio processing, multi-speaker dialogue generation, and real-time capabilities under an MIT license for local deployment. Key models include: - **VibeVoice-ASR-7B**: Processes up to 60 minutes of audio, outputs structured transcriptions with speaker identification, timestamps, and supports over 50 languages. - **VibeVoice-TTS-1.5B**: Generates expressive, 90-minute multi-speaker (up to 4 voices) conversations with natural flow and emotional nuance. - **VibeVoice-Realtime-0.5B**: Enables real-time TTS with ~300ms latency for interactive applications like voice assistants. The framework addresses limitations in long-sequence processing, speaker consistency, and naturalness. It includes safety features like audio watermarking and has sparked community-developed tools (e.g., a voice input method). Available on GitHub and Hugging Face, VibeVoice aims to advance innovation in content creation, accessibility, and voice interaction.

marsbit03/30 07:16

Microsoft Open-Sources Cutting-Edge Voice AI Family VibeVoice: Processes 90-Minute Multi-Speaker Conversations in One Go, Rapidly Gains 27K Stars on GitHub

marsbit03/30 07:16

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

GitHub has announced an update to its repository policy, effective April 24, 2026, allowing the use of user interaction data to train its AI models. The data collection will include users of Copilot Free, Pro, and Pro+, covering model inputs and outputs, code snippets, contextual information, repository structures, and chat logs. According to GitHub’s Chief Product Officer Mario Rodriguez, the move aims to enhance the accuracy and security of the model’suggestions, with internal Microsoft tests already showing improved acceptance rates. The policy follows an opt-out model, meaning affected users must manually disable data sharing in their privacy settings, sparking debate within the developer community over data ownership and the definition of private repositories. Copilot Business, Enterprise, and educational users are currently exempt due to contractual terms. GitHub defended the change as consistent with industry practices adopted by companies like Anthropic, JetBrains, and Microsoft. However, the inclusion of private repository code in training sets challenges conventional notions of privacy. This shift reflects a broader industry trend where leading AI providers are turning to user interaction data as high-quality public code resources diminish. It signals GitHub’s continued transition from an open-source platform to a closed-loop AI training ecosystem and highlights growing tensions between data compliance and AI model advancement.

marsbit03/26 01:39

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

marsbit03/26 01:39

From Campus to Capital: BUPT Senior Secures 30 Million Investment in 10 Days

Based on the provided text, here is the English summary: Guo Hangjiang, a 20-year-old senior student at Beijing University of Posts and Telecommunications, developed an AI engine called MiroFish in just 10 days. The project, which generates thousands of unique digital agents with distinct personalities, memories, and behaviors to simulate and predict outcomes in virtual worlds, quickly gained massive attention. It topped GitHub's global trending chart, amassing over 22,000 stars. His work caught the eye of Chinese billionaire Chen Tianqiao, former founder of Shanda Group and an advocate of the "super individual" theory. Impressed by a simple demo video, Chen committed 30 million RMB (approximately $4.1 million USD) to incubate the project, transforming Guo from an intern into a CEO overnight. MiroFish's core functionality involves processing a document (e.g., news, policy draft, novel) to extract entities and relationships into a knowledge graph using GraphRAG. It then spawns autonomous AI agents that can form groups, develop opinions, and exhibit herd mentality. A key feature is the "God's Perspective," allowing users to inject new variables (e.g., "Fed cuts rates by 50 basis points") and observe the simulated world recalibrate in real-time, enabling controlled experiments impossible in reality. The open-source framework, released under AGPL-3.0, utilizes the OASIS simulation engine, Zep Cloud for long-term memory, and is deployable via Docker. Demonstrated use cases include predicting the lost ending of the classic novel "Dream of the Red Chamber" and simulating market reactions to a Federal Reserve interest rate hike. The article notes that while MiroFish is a sophisticated multi-agent framework capable of revealing unforeseen scenarios, it has not published benchmark tests against real-world outcomes, inherits potential biases, and its simulated humans are not real. Chen Tianqio's investment is ultimately a bet on the emerging era of the "super individual."

比推03/16 06:45

From Campus to Capital: BUPT Senior Secures 30 Million Investment in 10 Days

比推03/16 06:45

In the AI Era, How Do GitHub Stars Become Developers' 'Proof of Execution'?

"The article argues that GitHub has evolved from a code hosting platform into an 'execution stock exchange' in the AI era, where stars serve as verifiable proof of attention and execution. Key metrics like stars, forks, issues, and pull requests are framed as forms of developer capital: stars represent public confidence, forks indicate real investment of time, issues drive progress, and PRs enable compounding collaboration. The author highlights real-time data from fast-growing AI-related repositories, such as openclaw and paperclip, to demonstrate how GitHub signals market trends. The platform is presented as a transparent, actionable market for developer attention, where users can build a quantifiable 'social capital ledger' by tracking and investing in promising projects early."

比推03/10 12:46

In the AI Era, How Do GitHub Stars Become Developers' 'Proof of Execution'?

比推03/10 12:46

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