Destination
Wikipedia offers AI developers a training dataset to maybe get scraper bots off its back

Wikipedia has been struggling with the impact that AI crawlers — bots that are scraping text and multimedia from the encyclopedia to train generative artificial intelligence models — have been having on its servers, leading to increased costs and slower load times for human users in some cases. Perhaps in an effort to stop the bots from pummeling the public Wikipedia website and soaking up too much bandwidth, the Wikimedia Foundation (which manages Wikipedia's data) is offering AI developers a dataset they can freely use.<br /> The organization has teamed up with Kaggle, a data science platform, to offer up a beta release of a structured dataset in both English and French. According to Google — which owns Kaggle — the dataset is formatted for machine learning to make it [...]

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Baseten takes on hyperscalers with new AI training platform that lets you own your model weights

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Destination
Wikipedia cancels plan to test AI summaries after editors skewer the idea

Wikipedia is backing off a plan to test AI article summaries. Earlier this month, the platform announced plans to trial the feature for about 10 percent of mobile web visitors. To say they weren' [...]

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Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+

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Match Score: 84.04

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Mistral AI launches Forge to help companies build proprietary AI models, challenging cloud giants

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Match Score: 68.94

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New training method boosts AI multimodal reasoning with smaller, smarter datasets

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Match Score: 67.67

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Match Score: 64.39

Destination
Wikipedia's owner challenges categorization rules under UK's Online Safety Act

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Match Score: 63.01