#ChatGPT

It’s a classic story at this point. We saw it recently with OpenAI’s ChatGPT, and now it’s Grok’s turn. Elon Musk’s xAI has inadvertently published hundreds of thousands of its users’ private conversations, making them fully searchable on Google. This wasn’t a sophisticated hack; it was a fundamental product design flaw. The Feature That Became a Bug The mechanism was simple and naive. When a Grok user hit the “share” button to send a conversation to a colleague or friend, the system generated a unique URL. However, instead of being a private link, this URL was made public and available for search engines to index. In effect, “sharing” meant “publishing to the open web” without any warning or disclaimer. ...

My take on the recent discourse around GPT-5’s instability is that it’s less about a technical stumble and more about a classic release management problem, a challenge familiar to any large IT company. The more telling issue, however, is the reports that the GPT-5 model is performing worse than its predecessor. This isn’t a bug; it’s a feature of a business decision. It indicates a strategic push to make the models more cost-effective. When you’re serving 700 million users, the priority shifts from peak performance to scalable, affordable operations. The casualty in this equation is often quality. ...

A new study from the University of Geneva and the University of Bern has shown that modern language models—including ChatGPT-4, Claude 3.5, and Gemini 1.5 Flash—outperform humans in emotional intelligence tests. The average score for AI was 82% correct answers, while the average for humans was just 56%. What’s more, ChatGPT-4 didn’t just pass the test; it generated an entirely new one from scratch. This AI-created test was subsequently validated with over 400 participants and proven to be as high in quality as assessments developed by human experts over many years. ...

A recent study by the Tow Center for Digital Journalism at Columbia University delivered a stark reality check on the current state of AI-driven search. The findings are a critical reminder that while generative AI is advancing at an incredible pace, its reliability in retrieving and citing factual information is still deeply flawed. The researchers tested eight leading AI search systems, including prominent models like ChatGPT and Google’s Gemini. The results demonstrate a significant gap between capability and accuracy. ...