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 … Read more

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 … Read more

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 … Read more

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 … Read more

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 … Read more

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 … Read more

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 … Read more

Anthropic develops method to analyze AI’s values in real conversations

Anthropic, the company behind the AI assistant Claude, has developed a new technique to observe and analyze how its AI expresses values during real-world conversations with users. The research, conducted by Anthropic’s Societal Impacts team, examines whether Claude adheres to the company’s goal of making it “helpful, honest, and harmless” when interacting with users. The … Read more

Opinion: AI should be viewed as normal technology, not superintelligence

In a comprehensive essay titled “AI as Normal Technology,” researchers Arvind Narayanan and Sayash Kapoor from Princeton University argue that artificial intelligence should be understood as a normal technology rather than a potential superintelligence. Published by the Knight First Amendment Institute at Columbia University, the paper presents an alternative vision for understanding AI’s trajectory and … Read more

Switching between AI models proves more complex than expected

Enterprise teams switching between large language models (LLMs) face numerous hidden challenges beyond simply changing API keys. According to an article by Lavanya Gupta, treating model migration as “plug-and-play” often leads to unexpected problems with output quality, costs, and performance. The report explores the complexities of moving between models like GPT-4o, Claude, and Gemini. Key … Read more