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The development of advanced artificial intelligence is likely to continue at its current pace until 2030, requiring unprecedented levels of investment and energy. According to a new report, training a single top-tier AI model will demand investments of hundreds of billions of dollars and consume gigawatts of electrical power. David Owen reports for Epoch AI …
A majority of Americans express more concern than excitement about the growing use of artificial intelligence in daily life and want more control over how it is used. Brian Kennedy reports for the Pew Research Center that people are particularly worried about AI’s potential to weaken human creativity and personal connections. The survey shows that …
A confusing trend is emerging in companies that use generative artificial intelligence. While employees are adopting the technology, many organizations are not seeing a positive return on their investment. The Harvard Business Review reports on a phenomenon called “workslop”, which researchers from BetterUp Labs and the Stanford Social Media Lab have identified as a potential …
AI agents, programs that autonomously perform tasks, are a significant emerging technology, but their broad acceptance hinges on trust and a clear value proposition. A new study by the polling institute YouGov, commissioned by Telekom MMS, reveals a gap between consumer interest and current business implementation. While 39 percent of consumers use or consider using …
OpenAI has released its first detailed study on ChatGPT usage, revealing that most people use the chatbot for personal matters rather than work. The research shows that “practical guidance,” such as asking for how-to advice or help with schoolwork, is the most common reason people turn to the AI. Gerrit De Vynck reports for the …
The two leading AI assistants, ChatGPT and Claude, have been built with fundamentally opposite philosophies on how to remember user interactions. ChatGPT’s memory is designed to be automatic and invisible, creating a personalized experience with zero effort from the user. Claude’s initial approach, however, gave users explicit control over when to use its memory function. …
Thousands of human workers who train and moderate Google’s AI models like Gemini face grueling deadlines, low pay, and exposure to distressing content. These “raters,” hired through contractors like GlobalLogic, are essential for making chatbots seem intelligent and safe but often feel invisible and expendable. This is reported by The Guardian after speaking with ten …
Large language models like ChatGPT sometimes generate false information (“hallucinations”) because their evaluation systems reward guessing over admitting uncertainty. In an official post, the company OpenAI reports that this incentive structure is a fundamental challenge for all current AI models. Hallucinations can occur even with seemingly simple questions. For example, a chatbot gave three different …
Tech companies have downloaded more than 15 million videos from over two million YouTube channels to train their artificial intelligence models. Alex Reisner reports for The Atlantic that this practice often occurs without the creators’ permission and violates the platform’s terms of service. The investigation identified at least 13 data sets containing the scraped content, …
A coalition of major web publishers, including Reddit, Yahoo, and Quora, has launched a new system called Really Simple Licensing (RSL). The standard aims to make AI companies pay for using online content to train their artificial intelligence models. The RSL Standard builds on the existing `robots.txt` protocol, a file that gives instructions to web …