An analysis of the quality of AI-generated summaries of a technical paper, comparing outputs from Gemini, ChatGPT, Claude, Grok, Perplexity, and NotebookLM. The author finds Gemini to be the best, highlighting the importance of context in prompting and the potential usefulness of AI summaries as 'extended abstracts'.
Researchers simulated early Earth conditions with hydrothermal vents and found that archaea thrived, suggesting life may have originated in similar 'chemical gardens' rich in hydrogen and iron.
>"I cover briefly what SVD is, and why it is central to making attention work really well."
PII Guard is an LLM-powered tool that detects and manages Personally Identifiable Information (PII) in logs — designed to support data privacy and GDPR compliance. It uses the gemma:3b model running locally via Ollama.
A Google engineer's testimony shows how page quality is scored and confirms the existence of a popularity signal that uses Chrome data.
This course provides an introduction to the Model Context Protocol (MCP), covering its theory, design, and practical application. It includes foundational units, hands-on exercises, use case assignments, and collaboration opportunities. The course aims to equip students with the knowledge and skills to build AI applications leveraging external data and tools using MCP standards.
The article details a study suggesting that rapid shifts in gene regulation, rather than changes in protein-coding genes, likely drove the evolution of human intelligence. Researchers identified two key regulatory "saltations" – sudden changes – unique to humans that impact areas like memory, learning, social behavior, and emotional depth.
Daniel M. Russell's talk will review the successes and failures of past UX research approaches, drawing on decades of experience at the intersection of human experience and intelligent systems, to explore how AI will shape future knowledge practices.
A summary of a workshop presented at PyCon US on building software with LLMs, covering setup, prompting, building tools (text-to-SQL, structured data extraction, semantic search/RAG), tool usage, and security considerations like prompt injection. It also discusses the current LLM landscape, including models from OpenAI, Gemini, Anthropic, and open-weight alternatives.
This document details a custom OCR program designed for recovering old computer programs from line-printer listings. It focuses on accuracy for mono-spaced fonts, even at the cost of speed, and outlines the algorithm, implementation details, and necessary preparation steps.
