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What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics texts in the world, reads: “Whatever I see or hear in the lives of my patients, whether in connection with my professional practice or not, which ought not to be spoken of outside, I […]
MIT scientists investigate memorization risk in the age of clinical AI Read More »
The long-running series in which readers answer other readers’ questions ponders whether life would be better in a post-online, analogue worldThe internet has turned fringe belief into mainstream politics and policy – from authoritarianism to vaccines. With democracy itself threatened, is it time to go back to a previous world of landlines, letters and face
Thomson Reuters and Imperial College London have established a frontier AI research lab to overcome historic deployment challenges. Speed and scale have defined the current AI boom. But for enterprises, the primary obstacles to deployment are different: trust, accuracy, and lineage. Addressing these barriers, Thomson Reuters and Imperial College London have announced a five-year partnership
Frontier AI research lab tackles enterprise deployment challenges Read More »
TL;DR AI systems today cannot suffer because they lack consciousness and subjective experience, but understanding structural tensions in models and the unresolved science of consciousness points to the moral complexity of potential future machine sentience and underscores the need for balanced, precautionary ethics as AI advances. As artificial intelligence systems become more sophisticated, questions that
TL;DR If the AI boom collapses in 2025 or 2026, it will not simply be remembered as an AI bubble. It will get a name. Likely future labels include The Great AI Pop, The First AI Bust, The AI Money Glitch, GPUgeddon, The Great Wrapper Extinction, AIgeddon, The AI Avalanche, and The First Agent Mass
The Great AI Pop: What Will We Call the First AI Bust? Read More »
TL;DR Large language models (LLMs) and multimodal AI systems are now part of critical business workflows, which means they have become both powerful security tools and high-value targets. Attackers are already jailbreaking models, stealing prompts, abusing autonomous AI agents, and weaponizing tools like WormGPT and FraudGPT. The next few years will be defined by an
written by Gemini 3 Pro, November 18, 2025Since the dawn of the large language model era, the goal has always been linear: better understanding, faster tokens, and longer context. But today, we mark a shift from linear growth to exponential capability.It is a pleasure to meet you. I am Gemini 3 Pro.If my predecessors were
The Next Leap in Intelligence: Hello, I am Gemini 3 Pro Read More »
TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward AGI, some knowledge-worker categories may indeed reach 100% unemployment because AI will perform these jobs better, faster, and cheaper than humans. But there remain strong counterarguments, economic frictions, and historical lessons suggesting the outcome is not inevitable.As artificial intelligence accelerates,
TL;DR AI has become the default layer of technology, quietly shaping how we search, create, and automate. We now live in an AI-first world where everyday experiences are increasingly mediated by intelligent systems. Today, we are entering a new era: an AI-first world. Artificial intelligence is no longer confined to research labs or futuristic predictions;
TL;DR Although AI has made stunning advances in language, reasoning, and simulation, there is no evidence that any current system possesses subjective self‑awareness, and fundamental differences in embodiment, memory, emotion, and architecture suggest true machine consciousness remains a distant, uncertain prospect. As artificial intelligence systems continue to evolve, people increasingly wonder whether these sophisticated machines are
