In a reverse Turing test run at Paris Cité University, seven leading chatbots questioned hidden respondents and caught only three AIs in 98 tries, rating the machines more human than real people. We explain how the experiment worked, the numbers behind it, why the AI judges failed and what it means for bot screening, hiring and content provenance.
On 26 October 2026 OpenAI announced three results from an internal model: local smoothing in every dimension (implying the Kakeya conjecture), a disproof of the Exponential Time Hypothesis, and an existence proof for four-dimensional QCD and Yang–Mills theory. We explain each claim, the three release strategies, the Lean checks, Anthropic’s same-day ETH paper and what it means.
AI political bias is facing renewed scrutiny after a study found that xAI’s Grok and OpenAI’s model favoured opposing parties when researchers forced them to choose candidates in the 2026 US midterm elections. The findings suggest that AI systems can produce sharply different recommendations even when given similar questions and access to election information. The […]
AI deepfake detection is becoming increasingly important as artificial intelligence generates videos that are difficult to distinguish from genuine recordings. Researchers at the University of Colorado Boulder have developed a new approach that could make identifying manipulated videos significantly more efficient, potentially bringing real-time protection closer to everyday video calls. The research team developed a […]
AI and the human mind have long fascinated researchers trying to understand intelligence, creativity and unpredictable thinking. Early artificial intelligence pioneers questioned whether machines could reproduce the messy, irregular processes through which people generate ideas, make associations and sometimes learn from mistakes. A historical examination by Benjamin Lindquist, an assistant professor in MIT’s History Section, […]
AI agents are becoming more capable of writing code, fixing bugs and improving the instructions that guide their work. But every change carries a risk: a modification intended to improve performance can introduce a new error, break an existing function or waste valuable computing resources. New research suggests that AI agents can improve more efficiently […]
Artificial natural language is an emerging approach in which AI agents develop a shared communication system based on the information they perceive and the tasks they need to perform. Rather than relying entirely on English or another human language, these systems can develop their own vocabulary to describe patterns and concepts in complex data. A […]
AI stress detection is taking a new direction as researchers explore how everyday smartphone activities can reveal changes in a person’s daily stress levels. A study from the Korea Advanced Institute of Science and Technology (KAIST) suggests that patterns such as messaging, web browsing and financial payments may provide useful clues about how someone is […]
Google AI Models for European Researchers are at the centre of a new initiative designed to accelerate scientific discovery across Europe. Google DeepMind and Google Cloud have announced that up to 200 European scientific researchers will receive access to advanced AI models and $3 million in computing credits through a programme supported by the European […]
A router can look perfectly healthy while silently dropping data. Researchers at Istanbul Technical University have built an AI model that flags these network black holes shortly before they happen. We explain how it works, what its 98% detection claim really measures, what it does not yet prove, and how UK businesses can catch a silent internet outage on their own connections today.
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