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"But what is pitched as a more convenient way of looking up information online has prompted scrutiny over how and where these chatbots select the information they provide. Looking into the sort of evidence that large language models (LLMs, the engines on which chatbots are built) find most convincing, three computer science researchers from the University of California, Berkeley, found current chatbots overrely on the superficial relevance of information. They tend to prioritise text that includes pertinent technical language or is stuffed with related keywords, while ignoring other features we would usually use to assess trustworthiness, such as the inclusion of scientific references or objective language free of personal bias."

""Equal access does imply equal opportunities," says the report, which goes on to point out that while anyone can use the internet to learn about the world, improve their skills or apply for a well-paid job, disadvantaged students are less likely to be aware of the opportunities that digital technology offers. "They may not have the knowledge or skills required to turn online opportunities into real opportunities," the report says."

New social network built inside iTunes fails to keep out the spammers, showing a curse of social media - even inside proprietorial walls

"The app, using Solid's decentralized technology, allows Berners-Lee to access all of his data seamlessly-his calendar, his music library, videos, chat, research. It's like a mashup of Google Drive, Microsoft Outlook, Slack, Spotify, and WhatsApp."

"The new AI Index report notes that in 2023, AI still struggled with complex cognitive tasks like advanced math problem-solving and visual commonsense reasoning. However, 'struggled' here might be misleading; it certainly doesn't mean AI did badly. Performance on MATH, a dataset of 12,500 challenging competition-level math problems, improved dramatically in the two years since its introduction. In 2021, AI systems could solve only 6.9% of problems. By contrast, in 2023, a GPT-4-based model solved 84.3%. The human baseline is 90%. "