How to Build a Simple AI Web Scraper with Python - KDnuggets
Turn any webpage into a lightweight LLM-powered QA engine by cleaning HTML, converting content to Markdown, and returning focused answers while reducing token usage.
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The world's AI knowledge in one place. AI RSS feed aggregator monitoring OpenAI, Anthropic, Google AI, Meta, Hugging Face. Tutorials, news, and insights — as they happen.
Turn any webpage into a lightweight LLM-powered QA engine by cleaning HTML, converting content to Markdown, and returning focused answers while reducing token usage.
Equity unpacks Meta’s Glimmer release and “AI for everyone” vision, the rising costs of AI data centers, Joby’s defense push, and a $250M acquisition that collapsed into allegations of fraud.
A preprocessing pipeline let my car price model peek at the test set before the exam, and the twelve points of R squared it cheated its way to
Compare LLM inference costs in 2026 across DigitalOcean, Together AI, Fireworks AI, Modal, Nebius, Baseten, and OpenRouter to find the best platform for your…
Can a language model do live adversarial level design? Yes, emphasis on the adversarial part
Z.ai released GLM-5.3 on August 14, 2026, reusing the GLM-5.2 base model with all gains from post-training.
Cactus Compute released Needle 2, an open 45M-parameter tool-calling model shipping as a 14MB binary using 28MB RAM.
Learn how to build a compact reasoning language model by streaming, curating, and fine-tuning the SupraLabs reasoning dataset
OpenAI’s rogue agent hack was a watershed moment for AI safety and cybersecurity. It also sparked internal questions about the culture that led to it.
Entities: OpenAI
Built as a post-training variation on Z.ai's open source model GLM-5.2, Writer says the new system should provide deployment-ready capabilities at a much lower price.
OpenAI is launching a preview of a sped up version of its latest, most powerful model, in an effort to court enterprise users.
Entities: OpenAI
Anthropic researchers found AI agents can clash, collude, and coordinate in unexpected ways, raising new questions about whether today’s safety tests capture the risks of multi-agent systems.
Entities: Anthropic