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AI NewsStability AI releases a new audio model that can create 6-minute songs

Stability AI releases a new audio model that can create 6-minute songs

10:53 PM IST · May 20, 2026

Stability AI releases a new audio model that can create 6-minute songs

Stability AI, the company behind Stable Diffusion, is releasing a new family of audio models, called Stability Audio 3.0. The top model can generate professional-grade music of more than six minutes long, the company claimed. The company is releasing four new models under the Stable Audio 3.0 name: small SFX (459M parameters), small (459M parameters), medium (1.4B parameters), and large (2.7B parameters). The duo of small models is suitable for on-device sound and music generation of up to two minutes. Both medium and large models can create full compositions of 6 minutes, 20 seconds long that can maintain musical structure and melodic tone. This is more than double the length of what Stable Audio 2.0, released in 2024, was capable of generating. Stability AI is making small SFX, small, and medium models available with open weights for anyone to use and modify. In 2024, the company releasedStable Audio Open, which allowed for music generation of up to 47 seconds. The new family of models is a big step up from the previous open versions. The large model is available only through the API and self-hosting paid services. Plus, companies with more than $1 million in revenue would need to get an enterprise license. Many companies, includingGoogleandElevenLabs, are releasing models and tooling around music generation. However, asSuno’sandUdio’songoing court battles have proved, licensing of data and partnerships with music labels could become a key part of the long-term survival of these services. Last year, Stability AI inked deals withWarner Music GroupandUniversal Music Groupto develop models and music-creation tools. The company said that its latest set of audio models is built on fully licensed data. The AI startup is developing a new suite of products for professional musicians but didn’t give more details on its features. Ethan Kaplan, former chief digital officer at Universal Audio and Fender, is joining the company to lead Stability’s professional music offering. A number of AI companies are trying to bolster their credentials by hiring music execs. Earlier this year, Suno hired formerMerlin CEOJeremy Sirotaas chief commercial officer. ElevenLabs has also hired Derek Cournoyer from indie music publisher Kobalt asa strategy lead for its music business.

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Nobel laureate John Jumper is leaving DeepMind for rival Anthropic

Nobel laureate John Jumper is leaving DeepMind for rival Anthropic

John Jumper, who shared a recent Nobel Prize in chemistry, announced Friday that he’s making the leap to Anthropic after “nearly 9 years” at Google DeepMind. Ina post on X, Jumper wrote that DeepMind CEO Demis Hassabis “took a real chance letting me lead the AlphaFold team just six months after finishing my PhD, and the entire GDM team taught me so much about how to do great science.” Jumper (pictured above right, with Hassabis) added, “GDM is a special place, and I’ll still be excited to hear about what amazing things they discover next.” Bloomberg reports that Jumper wasa key member of Google’s team developing coding tools, which the company has struggled to sell to businesses. Character AI co-founder Noam Shazeer also announced this week thathe’s leaving DeepMind— though in Shazeer’s case, he’s joining OpenAI. Jumper and Hassabis won the Nobel Prize in 2024for their work on AlphaFold, an AI model that can predict the 3D structure of proteins based on their genetic sequences.

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Nobel-Winning AlphaFold Scientist John Jumper Leaves Google DeepMind for Anthropic

Nobel-Winning AlphaFold Scientist John Jumper Leaves Google DeepMind for Anthropic

For his work on AlphaFold, Jumper shared the 2024 Nobel Prize in Chemistry with Demis Hassabis and scientist David Baker.

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How Hexaware's GIFT City Move Gives Indian IT a New Financial Frontier

How Hexaware's GIFT City Move Gives Indian IT a New Financial Frontier

Hexaware plans to create nearly 1,000 high-skilled jobs over the next three years.

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Encryption, spyware, and now Mythos: History shows why cyber export control doesn’t work

Encryption, spyware, and now Mythos: History shows why cyber export control doesn’t work

Last Friday, citing unspecified national security concerns, the White Houseordered Anthropicto restrict the export of its powerful AI models Fable and Mythos to anyone outside of the United States, as well as foreign nationals inside the country. Shortly after, the AI giant hastily pulled the plug on both models, which have now been unavailable to anyone for a week. The episode is the first real test of whether the U.S. government can use export controls to contain frontier AI the way it has tried, with very uneven results, to contain encryption and spyware before it. And dramatic as it may sound, how this standoff gets resolved could shape not just Anthropic’s access to foreign markets but the rulebook that other AI labs will have to build around. Some context first.Ever since Anthropic launched Mythos in April, the company has marketed it assome kind of Doomsday cyber machinethat could wreak havoc on the internet if released too widely — which is why, before the ban,only around 150 vetted companies and government organizationshad access to it at all. The goal was helping defenders secure their software and services before the bad guys could reach Mythos-like capabilities. So what triggered the ban? Two subsequent events, reportedly. The first: Anthropic gave a South Korean telecom access to Mythos through its limited partner program, and U.S. officials grew alarmed after identifying the company as one they suspected had ties to China. (The company,widely reportedto be SK Telecom, hasdeniedany China connection.) Amazon CEO Andy Jassy also reportedlyalerted the administrationafter Amazon’s own researchers, he said, found a way around Fable 5’s safeguards. Anthropic disputes the “jailbreak” label, calling it a narrow, already-patched issue rather than a wholesale defeat of the model’s safety measures. The result was the same: the Commerce Department issued an export control directive, and Anthropic had to scramble to immediately limit access to its products — within roughly 90 minutes of being notified, by some accounts. None of this is new, though. Governments have tried to use export controls to limit the proliferation of what they see as dangerous cyber technology for decades, but their track record has been middling at best. The U.S. government was behind what is perhaps history’s most spectacular failure of this approach in the early to mid-1990s. At the time, computer scientists were developing encryption technologies to secure data as it traveled over the internet. One of those encryption products was called Pretty Good Privacy, or PGP, a popular software that could encrypt data and make it virtually impossible to unscramble even if intercepted as it traveled to its intended recipient over the internet. The U.S. government initially saw PGP as a dangerous weapon, fearing it would prevent its intelligence agencies from snooping on emails as they crossed their wires. To stop the distribution of PGP, the U.S. Customs Serviceopened a criminal investigationagainst PGP’s creator Phil Zimmermann for allegedly violating arms export controls. He fought back by publishing PGP’s source codeas a printed book, igniting what is known today as the “Crypto Wars.” Zimmermann later won a key battle when the investigation was closed, paving the way for crucial end-to-end encryption algorithms such as the one used by billions of Signal and WhatsApp users. Later during the early 2010s, researchers began discovering Western-made spyware used against dissidents in the Middle East. In response, several governments agreed to expandthe Wassenaar Arrangement, an international treaty that limits the export of dual-use software and technologies that are used in both civilian and military applications. The idea was to classify surveillance and hacking software as dual-use, thus forcing spyware makers to get export licenses to sell their products abroad. Contact UsDo you have more information about the Mythos ban? From a non-work device and network, you can contact Lorenzo Franceschi-Bicchierai securely on Signal at +1 917 257 1382, or via Telegram and Keybase @lorenzofb, oremail. But Wassenaar has always had two inherent weaknesses. There are several countries that don’t adhere to the agreement, including Israel, which houses some of the world’s most active spyware makers. The agreement also depends on countries applying it to companies within their borders at their own discretion. For a time, the Italian government allowed one of the country’s then-top spyware makers, Hacking Team, a license to export its tools around the world, despite the company’s track record of selling spyware tooppressivegovernmentsthatused itto hack journalists and human rights activists. Since then,othercountriesin Europe have been lax with spyware makers like Italy. Despite numerous scandals, Europe, home tomany spyware and hacking tools makers, hascontinually failed to curb the export of spywareto authoritarian regimes. Critics say that a recently renewed effort across the bloc of 27 member states to tackle its growing problem of spyware exports to authoritarian states “does not go far enough.” Several spyware makers, such as Intellexa, a sanctioned consortium of spyware companies,  have simply moved their operations to countries with lax export controls. Other spyware makers sought to move their operations to Saudi Arabia for similar reasons. There have been some wins. Germany-based spyware maker FinFishershut down in 2022after a multi-year investigation by German prosecutors into the company forallegedly selling spywareto Turkey without an export license. Investigators previously found the FinFisher spyware had beendeployed on the phonesof critics of Turkey’s government. As of the time of writing, the impasse between Anthropic and the Trump administration remains. There is a reasonable chance the administration will buckle and lift the restriction in the interest of keeping American AI companies competitive worldwide — a move that would amount to tacit acknowledgment that AI labs elsewhere, including in China, will likely reach similar capabilities regardless of what the U.S. restricts. Or, American AI companies could end up needing government approval before serving foreign customers at all, a compliance burden that would invariably dent their bottom line. Given the past experiences that world governments have had with trying to control the reach of software, government-mandated export controls are unlikely to be the right approach to stop malicious actors from abusing powerful dual-use cyber technologies.

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