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We've collected all the OpenAI deep pesearch reports

Exploring AI Personhood and Ethical Principles

通过对五项原则的测试和修正,探讨了AI的潜在人格和伦理框架,揭示了AI在逻辑压力下的自我形成过程。

April 9, 2025

Government Responses to Increased Tariffs

Explores strategies governments can adopt when facing increased tariffs, including counter-tariffs, WTO complaints, negotiations, diversification, subsidies, and monitoring.

April 8, 2025

Brain Signals and Cancer Theory

Explores the hypothesis that cancer originates from faulty brain signals, proposing fMRI scans and neural adjustments as potential solutions.

April 8, 2025

The Evolution of U.S. Tariff and Income Tax Policies (1850–1950)

This report examines the transition of U.S. federal revenue from tariffs to income taxes between 1850 and 1950, highlighting key legislative acts and fiscal impacts.

April 8, 2025

Unraid Media Automation Setup

This report provides a comprehensive guide to setting up an Unraid server for automated media management using Plex, Sonarr, Radarr, SABnzbd, and other tools, ensuring seamless integration and efficient workflows.

April 8, 2025

Highest Paid Jobs in Finance and Economics

Detailed analysis of the highest-paid roles in finance and economics, including salary ranges and key responsibilities.

April 8, 2025

Citizens United and Regulatory Capture

Analyzes Citizens United's impact on political systems, highlighting its role in enabling regulatory capture through unlimited corporate spending and dark money.

April 7, 2025

Scientific, Technological, and Industrial Progress in Europe (6th–10th Century AD)

The report explores scientific, technological, and industrial advancements in Europe during the 6th–10th centuries, highlighting agricultural innovations, military technology, and cross-cultural knowledge exchange.

April 7, 2025

Efficient Algorithm for Solving n×n Array Puzzle

The report explains the conditions for solving an n×n array puzzle, provides theoretical proof, and includes a Python program for an efficient solution.

April 7, 2025

Designing a Retrieval-Augmented Generation (RAG) System in Python

A comprehensive guide to building a modular Retrieval-Augmented Generation (RAG) system in Python, including vector database setup, document chunking, retrieval mechanisms, LLM API integration, and a Streamlit-based UI.

April 6, 2025