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Surprisingly, OpenAI is getting ready to pay tens of millions to publishers for using their content to train ChatGPT, amid reports that it’s getting dumber

RELATED: OpenAI CEO Sam Altman celebrates ChatGPT’s first birthday

If the deal with German publisher Axel Springer pulls through, it’s highly likely that reports citing ChatGPT’s decline in accuracy will reduce significantly. OpenAI will also get access current and archived news articles across the publisher’s brands, which it will use to train its LLMs. The chatbots will also refer back to the original source to provide absolute transparency to users. And since its a mutual partnership, Axel Springer will also leverage OpenAI’s resources to further enhance and improve its products.

What are your thoughts on OpenAI’s first attempt to compensate publishers and websites for using their content to train its AI models? Let us know in the comments.

Miniature marvels: Wireless millirobots successfully navigate arteries

For the first time ever, wireless millirobots navigated a narrow blood vessel both along and against arterial flow. Researchers from the University of Twente and Radboudumc inserted the screw-shaped robots in a detached aorta with kidneys where they controlled them using a robotically controlled rotating magnet. The researchers plan to further develop the technology to be able to remove blood clots.

Each year worldwide, one in four people die from conditions caused by blood clots. A blood clot blocks a blood vessel preventing the blood from delivering oxygen to certain areas of the body. Surgeons can use flexible instruments to remove the blood clot therefore allowing the blood to flow again, but some regions in the body are difficult to reach. Millirobots can overcome these limitations and remove blood clots from difficult-to-reach blood vessels.

The researchers showed that these millirobots were able to travel through blood vessels. But to do so, the millirobots need power, to travel up-and downstream and to accurately be controlled and localized. Last but not least, they need to be biocompatible and leave no further damage to the inside of blood vessels.

AI-generated news anchors show off superhuman abilities

There’s a new global news network launching in 2024 which completely ditches humans for AI-generated newsreaders – and they’re showing off some superhuman capabilities that make it very clear: the days of the human news presenter are numbered.

Channel 1’s photorealistic news anchors come in all shapes and sizes. They can all speak more or less any language, while evoking the stiff, formal body language familiar to anyone that still watches news on the TV. They’re even capable of making news-anchor-grade attempts at humor.

This will be a fully personalized, localized news aggregation service; Channel 1 isn’t using AI to produce its own news stories. Instead, it’ll round up human reporting by “trusted sources” around the world, then re-package it as fully narrated, hosted and edited news stories that’ll run together in a list curated to your personal topics of interest, complete with footage and images from the event, like a personal TV station.

Unlocking the human genome: Innovative machine learning tool predicts functional consequences of genetic variants

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai have introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain and loss-of-function variants across the genome.

Unlike current methods that predominantly focus on loss of function, LoGoFunc distinguishes among different types of harmful mutations, offering potentially valuable insights into diverse disease outcomes. The findings are described in Genome Medicine.

Genetic variations can alter , with some mutations boosting activity or introducing new functions (gain of function), while others diminish or eliminate function (loss of function). These changes can have significant implications for and the treatment of disease.