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This Stanford computer science professor went to written exams 2 years ago because of AI. He says his students insisted on it

This Stanford computer science professor went to written exams 2 years ago because of AI. He says his students insisted on it

by Chris DeMunbrun | Sep 7, 2025 | AI News

Stanford University computer science professor Jure Leskovec is no stranger to rapid technological change. A machine-learning researcher for nearly three decades and well into his second decade of teaching, he’s also the co-founder of Kumo, a startup with $37 million...
Fantasy or faith? One company’s AI-generated Bible content stirs controversy

Fantasy or faith? One company’s AI-generated Bible content stirs controversy

by Chris DeMunbrun | Sep 7, 2025 | AI News

[[“value”:” Pray.com is producing several AI-generated videos about the Bible each week. Many depict epic stories from the Old Testament and Book of Revelation. Courtesy Pray.com Courtesy Pray.com In a recent video posted to the AI Bible’s...
An ‘iPhone Air,’ price hikes and AI: What to watch at Apple’s biggest event of the year

An ‘iPhone Air,’ price hikes and AI: What to watch at Apple’s biggest event of the year

by Chris DeMunbrun | Sep 7, 2025 | AI News

[[{“value”:” The iPhone needs a shakeup. It could get one as soon as September 9, when Apple is expected to announce an all-new slimmer model of the iPhone, potentially called the “iPhone Air,” alongside the iPhone 17 and new Apple Watch models at...
OpenAI links AI hallucinations to scoring mechanism favoring guesses

OpenAI links AI hallucinations to scoring mechanism favoring guesses

by Chris DeMunbrun | Sep 7, 2025 | AI News

OpenAI links AI hallucinations to scoring mechanism favoring guesses GPT-5 Thinking Minis higher abstention rate improves accuracy; OpenAI suggests penalizing errors to curb hallucinations 
The IO+ Week: are we in an AI bubble, or aren’t we (yet)?

The IO+ Week: are we in an AI bubble, or aren’t we (yet)?

by Chris DeMunbrun | Sep 7, 2025 | AI News

If you’re experiencing dotcom déjà vu these days, you’re not alone. Morgan Stanley estimates global spending on AI data centers will reach “nearly $3 trillion” by 2029; yet Big Tech is expected to account for only about half of that, pushing a flood of...
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem

From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem

by Chris DeMunbrun | Sep 7, 2025 | AI News

[[“value”:” Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations persist. A new research from OpenAI...
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