Everyday AI Lab

Model Comparisons

Side-by-side comparisons of language, image and voice models: quality, speed, price, limits and best use.

Assessing fairness in ChatGPT

A privacy-protected experiment tested how ChatGPT responds to different names using AI research assistants. Results show no dramatic bias, but subtle shifts in tone, examples, and cultural references …

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Meet HealthBench

HealthBench is OpenAI's new benchmark evaluating how AI models perform in realistic healthcare scenarios. Developed with over 250 physicians, it tests accuracy, safety, context awareness, and communic…

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Microsoft and OpenAI: What comes next in their alliance

Microsoft and OpenAI have announced a new agreement updating their partnership terms, with Azure remaining the primary computing backbone for OpenAI's research and models. The deal blends investment, …

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Presenting IndQA

IndQA is a new benchmark from OpenAI designed to evaluate how well AI systems understand and reason in 12 Indian languages across 10 knowledge areas. Built from scratch with domain experts rather than…

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The current landscape of AI in the enterprise

OpenAI's 2025 enterprise data shows three key trends: AI adoption is accelerating across industries, integration is deepening from occasional use into standard workflows, and productivity gains are be…

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Financial services sector

Financial institutions face pressure to adopt AI but need a structured approach due to strict regulations and sensitive data. This guide outlines key AI resources for banking, fintech, and compliance …

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Streamlining Operations Workflows Using ChatGPT Work

This guide shows professionals how to use ChatGPT to streamline four common workplace documents: initiative briefs, strategy updates, decision packets, and progress reports. It covers structured promp…

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An all-new way to manage your money within ChatGPT

This guide shows everyday users how to manage money through ChatGPT. It covers connecting bank, credit card, and investment accounts, tracking spending with natural language questions, identifying for…

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