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Max Verstappen accused Red Bull team-mate Sergio Perez of pushing him off the road before going on to win Formula One’s sprint race in Austria. Perez had to settle for second behind Verstappen with Carlos Sainz third for Ferrari. Lando Norris started third but finished only ninth following a poor opening lap, while George Russell and Lewis Hamilton crossed the line in eighth and 10th respectively on an underwhelming day for Mercedes. In damp conditions at the Red Bull Ring, pole-sitter Verstappen fell behind Perez as they blasted away from their marks. Verstappen moved to his right on the run down to the opening corner, but Perez squeezed his way past to take the lead. However, the Mexican ran wide on the exit of the first bend allowing Verstappen the opportunity of a slingshot back past on the straight. Verstappen drew alongside his team-mate but ran out of room, briefly dropping two wheels on the grass. “He pushed me off, man,” yelled Verstappen over the radio. “What the f***.” On the long drag to the third bend, Verstappen still managed to maintain some momentum, launching an aggressive move down the inside of Perez at Turn 3. Verstappen made the pass stick, running on deep into the corner, but Perez felt aggrieved by the move. “What is wrong with Max, man,” he said. From there, Verstappen raced off into the distance, taking the chequered flag 21 sec clear of Perez. Despite his commanding win, Verstappen, who extended his championship lead from 69 to 70 points, took aim at his team-mate again. “That first corner was not really nice,” he said on his way back to the pits. “It could have been a big shunt. We need to have a chat about that. For me it was not OK.” Russell was the first driver to gamble for dry rubber in the changeable conditions. The British driver pulled in on lap 15 and was soon the speediest man on track. Half of the 20-strong field took on slicks, too, but such was the advantage of the leading pack, that they were able to finish the race on the intermediate tyres. However, Russell managed to fight his way back from last after his pit stop to take the final point. Lance Stroll held off Aston Martin team-mate Fernando Alonso to finish fourth with Haas’ Nico Hulkenberg sixth.

YouTube has revealed a host of new, musical artificial intelligence experiments. The features let people create musical texts by just writing a short piece of text, instantly and automatically generating music in the style of a number of artists. Users can also hum a simple song into their computer and have it turned into a detailed and rich piece of music. The new experiments are YouTube’s latest attempt to deal with the possibilities and dangers of AI and music. Numerous companies and artists have voiced fears that artificial intelligence could make it easier to infringe on copyright or produce real-sounding fake songs. One of the new features is called “Dream Track”, and some creators already have it, with the aim of using it to soundtrack YouTube Shorts. It is intended to quickly produce songs in people’s style. Users can choose a song in the style of a number of officially-licensed artists: Alec Benjamin, Charlie Puth, Charli XCX, Demi Lovato, John Legend, Papoose, Sia, T-Pain, and Troye Sivan. They can then ask for a particular song, deciding on the tone or themes of the song, and it can then be used in their post on Shorts. Another is called Music AI Tools, and is aimed to help musicians with their creative process. It came out of YouTube’s Music AI Incubator, a working group of artists, songwriters and producers who are experimenting with the use of artificial intelligence in music. “It was clear early on that this initial group of participants were intensely curious about AI tools that could push the limits of what they thought possible. They also sought out tools that could bolster their creative process,” YouTube said in an announcement. “As a result, those early sessions led us to iterate on a set of music AI tools that experiment with those concepts. Imagine being able to more seamlessly turn one’s thoughts and ideas into music; like creating a new guitar riff just by humming it or taking a pop track you are working on and giving it a reggaeton feel. “We’re developing prospective tools that could bring these possibilities to life and Music AI Incubator participants will be able to test them out later this year.” The company gave an example of one of those tools, where a producer was able to hum a tune and then have it turned into a track that sounded as if it had been professionally recorded. The tools are built on Google Deepmind’s Lyria system. The company said that was built specifically for music, overcoming problems such as AI’s difficulties with producing long sequences of sound that keep their continuity and do not break apart. At the same time, Deepmind said it had been working on a technology called SynthID to combine it with Lyria. That will put an audio watermark into the sound, which humans cannot hear but which can be recognised by tools so that they know the songs have been automatically generated. “This novel method is unlike anything that exists today, especially in the context of audio,” Deepmind said,. “The watermark is designed to maintain detectability even when the audio content undergoes many common modifications such as noise additions, MP3 compression, or speeding up and slowing down the track. SynthID can also detect the presence of a watermark throughout a track to help determine if parts of a song were generated by Lyria.” The announcement comes just days after YouTube announced restrictions on unauthorised AI clones of musicians. Earlier this week it said that users would have to tag AI-generated content that looked realistic, and music that “mimics an artist’s unique singing or rapping voice” will be banned entirely. Those videos have proven popular in recent months, largely thanks to online tools that allow people to easily combine a voice with an existing song and create something entirely new, such as Homer Simpson singing popular hits. Those will not be affected straight away, with the new requirements rolling out next year. Read More AI-generated faces are starting to look more real than actual ones Elon Musk unveils new sarcasm-loving AI chatbot for premium X subscribers New tech listens to your belly gurgling and monitors how well you are New tech listens to your belly gurgling and monitors how well you are SpaceX is launching the world’s biggest rocket – follow live Instagram users warned about new setting that could accidentally expose secrets

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The 2023 NFL season has finally arrived. With it comes The Big Lead's weekly picks and predictions column from your favorite bloggers around, Kyle Koster and Liam McKeone. This year, though, we're going to switch up the formula a bit. After we went 124-137 last season in our second year of picking and predicting, we're going to narrow our focus and choose our six favorite bets ATS each week. Fewer games to focus on means our winning percentage will skyrocket. Right? Right.