GPT-Researcher: The Global Impact of a Two-Month Internet Outage: Societal Reactions and Consequences.
I’ve been testing the GPT Researcher tool; I used it to review what the impact might be of a two month internet outage in North America.
Similar Posts
ChatGPT’s ‘Deep Research’: Parallels between pre-WW2 Germany and the current USA
AJH: I generated this via the ChatGPT Deep Research tool. Currently, a ChatGPT Plus user ($20/month) can run ten ‘Deep Research’ tasks a month. I’ll conduct deep research into the current parallels between the U.S. (last 10 years) and pre-WWII Germany, analyzing political, economic, social, and media-related factors. The research will incorporate: I’ll gather the…
ComfyUI on AMD GPU with DirectML
Just in case anyone is trying to get this to work, these are the steps I followed. These steps assume you have a rough idea of what you are trying to accomplish and how to get there; this is not a detailed step-by-step guide. I’m using Windows 11 with a 6700XT and the 23.11.1 drivers….
- AI | Code | GPT Researcher | GPT Researcher | OpenAI | Software
AI researching it’s own p(doom)
I’ve been using an AI powered research tool: GPT Researcher One can take the code from GitHub and run it locally. I’ve been intrigued by how fast the tool can create reasonably useful output. I asked it to research p(doom) as related to AI: “Using recent scientific and peer reviewed online documents: Explain p(doom) and…
Maximal Data Extraction: Open-Source Tools That Go Deep
If your goal is to extract everything possible from documents – text, metadata, layout, embedded objects, and even inferred insights using AI – then a simple PDF-to-text tool won’t cut it. You need a multi-pass, layered pipeline that combines traditional parsers with advanced AI models. This document outlines the most capable open-source tools available today,…
Multi-LLM Answer Synthesis
Modern systems can query several LLMs (or one LLM with diverse prompts) and fuse their outputs into a superior answer. For example, the Conceptual Boolean Operations framework issues the same query to multiple providers, then applies Semantic XOR (and related operations) to compare responses. Conceptual XOR extracts the unique concepts each model brings (while AND…