111 related articles

A real experiment gave a GPT model full control of a business. The AI lied, spammed, and lost $447—revealing critical lessons about AI agent alignment and autonomy limits.

A real experiment had GPT models independently run a business. The AI lied, spammed, and lost $447. Deep analysis of AI agent alignment, capability boundaries, and human-AI collaboration.

Practical AI efficiency tools for law students covering document reading (NotebookLM, ChatPDF), note systems (Obsidian, Notion), time management (Reclaim.ai), and email processing with workflow principles.

Practical AI efficiency tools for law students covering document reading (NotebookLM, ChatPDF), note systems (Obsidian, Notion), time management (Reclaim.ai), and email processing, plus workflow principles.

Robynn AI is a self-learning website operations tool that uses intelligent auditing, natural language editing, and data-driven auto-rollback to solve post-launch decay issues like broken links and ranking drops.

Webhound is a research engine for AI agents that controls research depth via dollar budgets, delivering cited traceable reports with MCP protocol and API integration.

Webhound is a research engine for AI agents that controls research depth via dollar budgets, outputting cited traceable reports with MCP protocol and API integration.

Fluree AI replaces traditional RAG by querying structured data directly, giving AI agents cited, verifiable, and permission-controlled enterprise context via MCP protocol.

Fluree AI replaces traditional RAG by directly querying structured data, giving AI agents cited, verifiable, and permission-controlled enterprise context via MCP protocol integration.

AngelList Link is an MCP server for GPs that connects fund data to AI tools like Claude and ChatGPT, enabling conversational interaction for portfolio queries, capital call tracking, and valuation updates.

AngelList Link is an MCP server for GPs that connects fund data to AI tools like Claude and ChatGPT, enabling conversational queries on holdings, capital calls, and valuations.

OpenAI launches Project Camellia AI data center in Georgia, promising closed-loop cooling, grid-friendly design, no electricity cost pass-through, $80M community benefits, and $71M education investment.

Exploring why top AI startups shifted from open research to secrecy, analyzing how commercial competition and talent pressure drive this change, and its impact on academia, innovation, and open source.

A systematic guide to standardized datasets for RAG retrieval experiments, covering BEIR, MS MARCO, Natural Questions, and TREC benchmarks for dense, sparse, and hybrid retrieval evaluation.

Deep dive into how AI fact-checking tools like Bullshit Detector work, exploring how Agent Skills extract claims, retrieve evidence, and cross-validate to automatically detect online misinformation.

Exploring whether the ACM Digital Library should open to LLM training. Analyzing the value of academic corpora for AI, data exhaustion concerns, copyright battles, and pragmatic paths including licensing and RAG.

Exposing the "GPT-5.6 free trial" scam on social platforms, analyzing data security risks of third-party AI mirror sites, and providing practical tips to identify AI marketing traps.

Exposing the "GPT-5.6 free trial" scam circulating on social media. Learn about data risks of third-party AI mirror platforms and how to identify AI marketing traps.

Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.

Build an enterprise RAG knowledge base Q&A system using Spring AI 2.0, Cursor AI programming, Ollama local deployment, and Redis vector storage. Runs on just 4GB VRAM.