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Apple is planning to stop selling some of its leather products, and offer alternatives instead, according to multiple reports. In recent weeks, numerous reports have suggested that Apple is planning on swapping its leather cases for new woven materials, with the upcoming release of the iPhone 15. Various leaks from within the supply chain have suggested that it has developed a new material that will take its place. Now one of those examples appears to have leaked on Twitter. It is impossible to know whether the case is a legitimate Apple one – and, even it is, whether it will go on sale – but it appears to show one of the cases with an iPhone inside. Bloomberg journalist Mark Gurman, who has a strong track record of leaks from within Apple, appeared to suggest the case was legitimate. On Twitter, he said it was a “sample/replica of the new leather-free iPhone 15 case”. He then went on to suggest that Apple would also start “moving away from leather on its Apple Watch bands as well”. Apple offers a range of different leather Watch bands. It says they are made from “Roux Granada leather made in France”. It also sells leather straps as part of a collaboration with Hermès that has been ongoing for years. Mr Gurman initially suggested that partnership would be likely to continue, even if Apple stopped selling bands of its own – but then he suggested that could come to an end, too. Apple employees have been offered steep discounts on the Hermès accessories, he said, with staff being offered up to 90 per cent off. That suggests the company could be getting rid of stock it intends to stop selling, and so the Hermès leather Watch straps could come to an end too. Apple will hold a live streamed event on September 12, where it is expected to unveil a new line-up of four versions of the iPhone 15, updated Apple Watches, and more. It also usually refreshes its accessories line, adding new colours to both the iPhone cases and Watch straps, even when it does not make significant changes like the introduction or removal of certain materials. Read More Apple is about to make a huge change to the iPhone that it never wanted to do Here’s when you will actually be able to get the new iPhone Apple is about to reveal the new iPhone – and a lot more

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The head of the artificial intelligence company that makes ChatGPT is testifying before Congress as lawmakers call for new rules to guide the rapid development of AI technology

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Future generations of artificial intelligence chatbots trained using data from other AIs could lead to a downward spiral of gibberish on the internet, a new study has found. Large language models (LLMs) such as ChatGPT have taken off on the internet, with many users adopting the technology to produce a whole new ecosystem of AI-generated texts and images. But using the output data from such AI systems to further train subsequent generations of AI models could result in “irreversible defects” and junk content, according to a new, yet-to-be peer-reviewed study. AI models like ChatGPT are trained using vast amounts of data pulled across internet platforms that have mostly remained human generated until now. But AI-generated data using such models have a growing presence on the internet. Researchers, including those from the University of Oxford in the UK, attempted to understand what happened when several subsequent generations of AIs are trained off each other. They found the widespread use of LLMs to publish content on the internet on a large scale “will pollute the collection of data to train them” and lead to “model collapse”. “We discover that learning from data produced by other models causes model collapse – a degenerative process whereby, over time, models forget the true underlying data distribution,” scientists wrote in the study, posted as a preprint in arXiv. The new findings suggested there to be a “first mover advantage” when it comes to training LLMs. Scientists liken this change to what happens when AI models are trained on music created by human composers and played by human musicians. The subsequent AI output then trains other models, leading to a diminishing quality of music. With subsequent generations of AI models likely to encounter poorer quality data at their source, they may start misinterpreting information by inserting false information in a process scientists call “data poisoning”. They warned that the scale at which data poisoning can happen drastically changes after the advent of LLMs. Just a few iterations of data can lead to major degradation, even when the original data is preserved, scientists said. And over time, this could lead to mistakes compounding and forcing models that learn from generated data to misunderstand reality. “This in turn causes the model to misperceive the underlying learning task,” researchers said. Scientists cautioned that steps must be taken to label AI-generated content from human-generated ones, along with efforts to preserve original human-made data for future AI training. “To make sure that learning is sustained over a long time period, one needs to make sure that access to the original data source is preserved and that additional data not generated by LLMs remain available over time,” they wrote in the study. “Otherwise, it may become increasingly difficult to train newer versions of LLMs without access to data that was crawled from the Internet prior to the mass adoption of the technology, or direct access to data generated by humans at scale.” Read More ChatGPT ‘grandma exploit’ gives users free keys for Windows 11 Protect personal data when introducing AI, privacy watchdog warns businesses How Europe is leading the world in the push to regulate AI ‘Miracle material’ solar panels to finally enter production Meta reveals new AI that is too powerful to release Reddit user’s protests against the site’s rules have taken an even more bizarre turn

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ON Semi expects fourth-quarter earnings of between $1.13 and $1.27 a share, which is below analysts' consensus.

It can be exciting when a brand like Amazon drops new versions of its devices,