27 summarised stories about GPT-4, each linking back to the original source. Browse all topics →
OpenAI Blog 3 years ago
OpenAI released GPT-4, a large multimodal model that accepts both image and text inputs and outputs text. GPT-4 achieves human-level performance on various professional and academic benchmarks, though it remains less capable than humans in many real-world scenarios. The model represents OpenAI's latest advancement in scaling deep learning systems.
OpenAI Blog 3 years ago
Iceland's government is using GPT-4 to help preserve Icelandic, a language spoken by roughly 380,000 people. The project involves training the model on Icelandic texts and cultural materials to ensure the language remains viable in digital systems and AI applications. This approach allows smaller languages to maintain digital presence and functionality as artificial intelligence becomes more integrated into daily communication tools.
OpenAI Blog 3 years ago
Duolingo integrated OpenAI's GPT-4 into its language learning app to enable interactive conversation practice with an AI tutor. The feature, called "Duolingo Max," costs $14.99 per month and allows users to have unrestricted dialogues in their target language rather than completing traditional lessons. This addition addresses a key limitation of language apps by providing personalized speaking practice that adapts to individual learner levels.
OpenAI Blog 3 years ago
Khan Academy is testing GPT-4 to support virtual education in a limited pilot program. The program involves a small number of classrooms using the AI model to assist with teaching and learning tasks. If successful, Khan Academy could expand AI integration across its broader platform to enhance educational content delivery.
OpenAI Blog 3 years ago
Stripe has integrated OpenAI's GPT-4 into its platform to improve user experience and reduce fraudulent transactions. The company uses GPT-4 to analyze payment patterns and flag suspicious activity more accurately than previous methods. This enables Stripe to process legitimate transactions faster while blocking more fraud attempts automatically.
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22 July 2026
The story of AI in July 2026 centers on infrastructure and control: who builds it, who accesses it, and who decides how it behaves. Google's $40 million commitment to the Genesis Mission—placing AlphaFold 3 and other frontier models directly into Department of Energy labs—signals a deliberate strategy to embed commercial AI into government scientific workflows. Early results are concrete: microscope calibration dropping from 90 minutes to 13 minutes. This isn't hype; it's infrastructure becoming the base layer of discovery.
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