The Who's Who of AI

“This article ends with a good conclusion, but it is extremely misguided along the way. It is also a rich text for exploring how clear language helps make the point better. A thread: www.science.org/doi/10.1126/... >>”

“This editor/author does the same “trick” as he writes: "Recently, the ability of large language models (LLMs) to predict protein structures and to accelerate the discovery of new materials has revolutionized both fields. New AI agents can now carry out many…”

“- web search without AI summary: 0,3 Wh - short text query to LLM: 0,42 Wh - AI-generated image: starts at 2,9 Wh - web search with AI summary: 3,0 Wh - AI-generated video: starts at 415 Wh www.nrk.no/urix/fn-rapp...”

“If you're intrigued by all these AI chatbots of historical figures, you should read Lina Harder's new paper on them. She calls them histobots: "When algorithms speak in the voices of the dead, who decides what they say?" olh.openlibhums.org/article/id/2... …”

“If you're intrigued by all these AI chatbots of historical figures, you should read Lina Harder's new paper on them. She calls them histobots: "When algorithms speak in the voices of the dead, who decides what they say?" olh.openlibhums.org/article/id/2... …”