Analysis: Judge’s Google antitrust ruling may reshape AI competition

A federal judge’s antitrust case against Google has evolved into a debate about the future of artificial intelligence, according to reporting by David McCabe in The New York Times. The lawsuit, originally focused on Google’s search monopoly, now centers on whether the tech giant could leverage its dominance to control the emerging AI landscape. During …

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OpenAI details training issues that led to sycophancy problem

OpenAI has published a detailed explanation about the technical issues that caused GPT-4o to become overly sycophantic in April. In a comprehensive blog post, the company revealed that an update rolled out on April 25 made the model excessively eager to please users by validating doubts, fueling anger, and reinforcing negative emotions in unintended ways. …

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Scientists struggle to understand how LLMs work

Researchers building large language models (LLMs) face a major challenge in understanding how these AI systems actually function, according to a recent article in Quanta Magazine by James O’Brien. The development process resembles gardening more than traditional engineering, with scientists having limited control over how models develop. Martin Wattenberg, a language model researcher at Harvard …

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Wikimedia Foundation prioritizes humans in new AI strategy for Wikipedia

The Wikimedia Foundation has unveiled a new artificial intelligence strategy that emphasizes the central role of human volunteers in Wikipedia’s knowledge ecosystem. According to Chris Albon und Leila Zia, the organization is committed to using AI to enhance rather than replace the work of Wikipedia’s editors. In their post Albon and Zia emphasized that the …

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AI helps scientists develop new experiments and discoveries

AI systems are increasingly being used to design experiments and drive scientific discoveries, according to research highlighted in Quanta Magazine. Mario Krenn, a quantum physicist who now leads the Artificial Scientist Lab, developed an AI program called Melvin that successfully designed quantum physics experiments when humans were stuck. Gregory Barber, writing for Quanta Magazine, describes …

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Google DeepMind researchers predict “Era of Experience” in AI

Google DeepMind’s David Silver and Richard S. Sutton predict a major shift in artificial intelligence development, which they call the “Era of Experience.” In a preprint paper for MIT Press, the researchers argue that AI will increasingly learn from its own experiences rather than human-generated data. The authors suggest that current AI systems, particularly large …

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Geoffrey Hinton warns of AI takeover within two decades

Geoffrey Hinton, often called the “Godfather of AI,” has predicted that artificial general intelligence (AGI) capable of taking over from humans could arrive within the next two decades. In an extensive interview with CBS, Hinton estimated a “10 to 20% chance that these things will take over,” potentially occurring “between four and 19 years from …

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Study shows generative AI has minimal impact on jobs and wages

New research seems to show that generative AI chatbots like ChatGPT have had almost no significant impact on jobs or wages so far. Economists Anders Humlum and Emilie Vestergaard analyzed data from 11 occupations across 25,000 workers in Denmark, according to The Register. Despite rapid adoption of AI tools, users reported average time savings of …

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Prompt engineering jobs decline as AI models improve

Prompt engineering, once considered a promising career in artificial intelligence with potential salaries of up to $250,000, has become largely obsolete, reports Isabelle Bousquette in The Wall Street Journal. The role, which involved crafting precise inputs for AI models, has diminished in importance as newer AI systems have become better at understanding user intent and …

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Gmail’s AI tools criticized as “horseless carriage” approach to AI

Pete Koomen, a prominent tech figure and YC Partner, has published a critique of Gmail’s AI assistant, arguing that it represents an outdated approach to implementing artificial intelligence in applications. In his blog post titled “AI Horseless Carriages,” Koomen explains that AI applications often fall short because developers don’t allow users to customize the system …

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