一位金融爱好者利用AI技术开发了一款美股崩盘预警指标，并已开源至GitHub。该指标参考了2000年互联网泡沫、2008年次贷危机和2022年加息熊市的历史数据，通过综合乖离率、市盈率、利差和市场情绪等多维度数据进行评估。作者坦诚表示自己是金融小白，指标可能存在准确性问题，08年数据尤其不够理想。由于部分实时数据难以获取，用户需手动补充一些信息。尽管存在局限性，但这一开源项目为AI在金融领域的应用提供了实践案例，也欢迎社区共同改进和完善。
原文链接：Linux.do
The HN Sentiment API is a specialized tool for analyzing sentiment in Hacker News comments, capable of identifying entities within comments and classifying them as positive, negative, or neutral. The API offers four main features: retrieving statistics, searching entities, accessing comment content, and tracking sentiment trends. Through this API, users can understand how the tech community's perception of industry leaders and companies changes over time, such as analyzing the evolution of public sentiment toward tech companies like OpenAI. Developers can leverage this API to monitor brand reputation, track product feedback, or study dynamic changes in tech public opinion. This tool provides an effective means for quantitatively analyzing public opinion in the tech community and holds significant reference value for understanding the direction of tech industry sentiment.
Original Link:Hacker News
This is a lightweight machine learning framework called Autograd.c, built from scratch in C by a developer inspired by Professor Vijay Janapa Reddi's book "Machine Learning Systems." Similar to a streamlined version of PyTorch, this project aims to help developers deeply understand the underlying principles of machine learning frameworks. By studying the source code, developers can learn how core concepts like automatic differentiation and tensor computation are implemented. Although compact, the framework includes all the essential components of a machine learning framework, making it a valuable resource for learning ML system architecture. For tech professionals looking to understand the inner workings of deep learning frameworks, this open-source project offers a rare learning opportunity.
原文链接：Hacker News
Users discovered that GPU resources aren't detected in Linux container environments when running AI model training scripts with codex cli, while claude code functions normally. AI analysis reveals that codex cli operates in a sandbox, causing GPU isolation. Attempts to launch with parameters like 'codex --sandbox danger-full-access' only partially resolve the issue, hindering automated bug fixing workflows. Users are seeking community suggestions to explore more comprehensive solutions. This issue focuses on resource management optimization for AI tools in containerized environments, offering practical value for enhancing development efficiency and GPU access technology.
Original Link:Linux.do
As a Chrome browser extension, Gemini Nexus v3.1 successfully enables password-free access to Google Gemini AI, bringing multiple innovative features. Updates include automatic image watermark removal, image editing, thought process display, multimodal file upload, screenshot translation, full-page chat, and image sending support. Users can simply log in to the Gemini web version to use it, no additional API key required. The extension utilizes Nano Banana as the Fast model, providing high performance. Installation is simple: download the zip file, unzip it, and load it into Chrome extensions. This update significantly enhances AI utility in browsers, offering cutting-edge tools for tech enthusiasts, especially suitable for users needing AI assistance. Through the GitHub project, developers can further explore and optimize, promoting the popularization of AI technology in daily applications.
Original Link:Linux.do
ModelGuessr is an innovative interactive website that lets users guess the identity of random AI models by chatting with them. Currently supported models include popular options like GPT 5.1, Sonnet 4.5, Gemini 2.5 Flash, Grok 4.1, and more, with the creator planning to continuously expand the model library. This game is not only entertaining but also helps users gain deeper insights into the response characteristics, language styles, and reasoning capabilities of different AI models, thereby enhancing their understanding and application of AI technology. Users can simply visit model-guessr.com to start challenging themselves and test their ability to identify AI models. For tech enthusiasts and AI researchers, this is a great tool for casual learning, helping them familiarize themselves with the unique features of various AI systems while sparking interest in cutting-edge technology.
Original Link:Linux.do
HN Sentiment API是一个专门分析Hacker News评论情感的工具，能够识别评论中的实体并对其进行正面、负面或中性的情感分类。该API提供四个主要功能：获取统计数据、搜索实体、获取评论内容和跟踪情感趋势。通过这个API，用户可以了解科技社区对行业领袖和公司的评价变化，例如分析公众对OpenAI等科技公司的态度随时间的演变。开发者可以利用这个API监控品牌声誉、跟踪产品反馈，或者研究科技舆论的动态变化。该工具为量化分析科技社区的公众意见提供了有效途径，对于了解科技行业的舆论走向具有重要参考价值。
原文链接：Hacker News
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。