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 Apple considered but abandoned plans for a flip-style foldable iPhone because it didn't create compelling new use cases, according to Weibo leaker Instant Digital. Apple reportedly felt that it was an "unnecessary" design because the biggest selling point would have been its smaller size when folded.
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One popular video also features Elon Musk and Bill Gates.
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 OpenAI is rolling out new interactive responses in ChatGPT it says are designed to make the chatbot more useful for learners. Starting today, ChatGPT will generate dynamic visuals when you ask it to explain select scientific and mathematical concepts, including the Pythagorean theorem, Coulomb's law and lens equations. When ChatGPT responds with an interactive visual, you'll be able to tweak any variables and the equation itself, allowing you to see how those changes affect the solution.
With today's release, OpenAI says ChatGPT will respond with interactive visuals when asked about more than 70 concepts, with support for additional topics to come down the line. The visuals are available to all ChatGPT users, regardless of subscription status. However, OpenAI notes high school- and college-aged students are likely to get the most out of the new feature.
ChatGPT explains Ohm's law.OpenAIThe more interactive responses from ChatGPT follow the release of Study Mode last summer. Released in response to the sheer amount of students using chatbots to complete their coursework, that feature guides the user toward finding an answer themselves, rather than provide an outright solution. "This is just the beginning," OpenAI says of its latest feature. "Over time, we plan to expand interactive learning with additional subjects and continue building tools that strengthen learning
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 Apple's Mac lineup will soon span a wider price range than ever, from the new $599 MacBook Neo to a rumored top-of-the-line MacBook "Ultra" expected later this year. However, new research suggests the broader laptop market could be heading for a painful price adjustment.
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Large language models (LLMs), the algorithmic platforms on which generative AI (genAI) tools like ChatGPT are built, are highly inaccurate when connected to corporate databases and becoming less transparent, according to two studies.
One study by Stanford University showed that as LLMs continue to ingest massive amounts of information and grow in size, the genesis of the data they use is becoming harder to track down. That, in turn, makes it difficult for businesses to know whether they can safely build applications that use commercial genAI foundation models and for academics to rely on them for research.
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