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Deepmind founder says his latest LLM Inflection-2 is the second best in the world

Inflection claims that its new language model, Inflection-2, outperforms direct competitors such as Google PaLM-2 and Claude 2, and is second only to GPT-4.

The new model is said to be significantly more powerful than its predecessor, Inflection-1, and, according to the startup, demonstrates improved factual knowledge, better style control, and significantly improved reasoning.

Inflection-1 was released in July. It was roughly on par with GPT-3.5 and PaLM-540B. Inflection-2 should now catch up with GPT-4, the company claims.

AI tool could help thousands avoid fatal heart attacks

An AI tool that can predict 10-year risk of deadly heart attacks, could transform treatment for patients who undergo CT scans to investigate chest pain, according to British Heart Foundation-funded research presented today at the American Heart Association’s Scientific Sessions in Philadelphia.

In the first real-world trial of the AI tool, it was found to improve treatment for up to 45 per cent of patients. The AI technology could potentially save the lives of thousands with chest pain, who may not have been identified as at risk of a heart attack, and therefore may not have received appropriate treatment to lower their risk. With the technology also found to be cost-effective, the researchers hope it could change the management of patients who are referred for chest pain investigations, across the NHS.

Every year in the UK around 350,000 people have a cardiac CT scan – the standard test to identify any narrowings or blockages in the coronary arteries. In around three quarters of cases, there is no clear sign of significant narrowings, so patients are often reassured and discharged. Unfortunately, many of these people will die from a heart attack in future, because small, undetectable narrowings may break up if they are inflamed, blocking the arteries. Until recently, it was not possible to identify these patients at risk.

Xanadu hardware CTO shares views on why silicon photonics is the future of quantum computing

Silicon photonics (SiPh), the manufacturing of integrated photonics on CMOS platform, has been a buzzword in the recent two years, given the technology’s promising prospect to deliver a faster, securer and more efficient solution to data centers increasingly burdened by the ever-growing transmission demand of AI. However, the potential of silicon photonics is not confined to the realm of conventional computing and communication.

The AI Time Machine: When Will Superintelligence Arrive?

Buckle up, because we’re entering the era of thinking machines that make humans look like chattering chimps! But don’t worry about polishing your resume to impress our future robot overlords just yet. The experts are wildly divided on when superintelligent AI will actually arrive. It’s like we’re staring at an AI time machine without knowing if it will teleport us to 2 years from now or 2 decades into the future!

In one corner, we have Mustafa Suleyman from Inflection AI. He says take a chill pill, we’ve got at least 10–20 more years before the AI apocalypse. But hang on…his company just whipped up the world’s 2nd biggest AI supercomputer! It’s cruising with 3X the horsepower of GPT-4, the chatbot with reading skills rivaling a university professor. So something tells me Suleyman’s timeline is slower than your grandma driving without her glasses.

Meanwhile, OpenAI is broadcasting a very different arrival time. They believe superintelligence could show up within just 4 years! To get ready, they’ve launched an AI safety SWAT team, led by brainiacs like Ilya Sutskever. They’re funneling millions into this initiative with a strict 2027 deadline. Why so urgent? Well, they say superintelligence could either catapult humanity into a sci-fi future utopia, or permanently reduce us to drooling toddlers. Not great options there.

Japan firm uses telecom AI to detect flaws in nuclear fusion reactor

Japan’s Nippon Telegraph and Telephone Corporation (NTT) is applying its Deep Anomaly Surveillance (DeAnoS) artificial intelligence tool, originally designed for telecom networks, to predict anomalies in nuclear fusion reactors.

DeAnoS is like a detective, trying to understand which part of the equation is making things weird.

Atomic fusion reactors are at the forefront of scientific innovation, harnessing the enormous energy released by atomic nuclei fusion. This process, which is similar to the Sun’s power source, involves the union of two light atomic nuclei, which results in the development of a heavier nucleus and the release of a massive quantity of energy.

Satya Nadella: Microsoft will never again get blindsided by OpenAI board if Sam Altman returns

The OpenAI saga appears to be in a holding pattern, at least for the moment, as hundreds of employees threaten to leave en masse if the board doesn’t resign and reinstate Sam Altman as CEO of the artificial intelligence powerhouse.

Microsoft CEO Satya Nadella made it clear in interviews Monday that the company wouldn’t be opposed to Altman returning to OpenAI, with changes to the board, including provisions to keep Microsoft from being surprised in the manner it was on Friday, learning of Altman’s ouster minutes before the rest of the world.

“One thing, I’ll be very, very clear, is we’re never going to get back into a situation where we get surprised like this, ever again. … That’s done,” Nadella said on a joint episode of the Pivot and On with Kara Swisher podcasts.

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