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vendredi 7 août 2026

Suno hopes to go legit with watermarks for AI-generated music

Suno hopes to go legit with watermarks for AI-generated music

The Internet is awash in AI content, and it's not always easy to tell it apart from genuine human creations. While images and videos are perhaps the most obvious type of AI slop, streaming music services like Spotify are also being inundated with AI-generated tunes. Suno is one of the most prolific sources of this AI music, but the company now says it's looking to clean up its act with watermarks and policy changes.

In a blog post announcing the plans, Suno CEO and co-founder Mikey Shulman says this is a necessary change to meet "emerging industry standards" for the labeling of AI content. Soon, the company will add watermarks to all audio outputs from its models, giving platforms the option to mark content as AI or block it entirely. Shulman doesn't say if Suno will rely on an in-house solution or a ready-made solution like Google's SynthID.

Google recently began licensing SynthID to other companies. Google says the tech has been used to label 60,000 years' worth of audio generated by its Gemini models, plus more than 100 billion images and videos.

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Anthropic will design its own hardware to power Claude

Anthropic will design its own hardware to power Claude

Anthropic is hiring a "custom silicon team" to design chips on which to run its models, the company has revealed.

Yesterday, Business Insider noticed a job listing for a senior engineer with experience shipping semiconductor designs. (You can see listings for a silicon engineer and a technical program manager, silicon on Anthropic's job board right now.) A spokesperson for Anthropic then confirmed the plans to both Business Insider and TechCrunch.

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Trump FCC kills TV ownership cap, claiming authority over limit set by Congress

Trump FCC kills TV ownership cap, claiming authority over limit set by Congress

The Federal Communications Commission voted 2–1 today to eliminate the National Television Ownership Rule, claiming authority to repeal a limit that was set by Congress over 20 years ago.

The rule prohibits any single broadcast station owner from reaching more than 39 percent of all TV households in the US. Under Chairman Brendan Carr, the FCC is replacing the rule with a “case-by-case review” of each proposed merger.

"This will empower the FCC to approve deals that promote the public interest while allowing the agency to reject any deals that do not meet that standard," Carr's office said in a press release today. Without the 39 percent rule, broadcasters will be better able to compete against streaming companies that don't face similar limits, Carr's office said.

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Thousands of servers can be backdoored by exploiting buggy motherboard controllers

Thousands of servers can be backdoored by exploiting buggy motherboard controllers

Thousands of Internet-connected servers sold by the world’s biggest manufacturers can be remotely backdoored by exploiting critical vulnerabilities—some more than a decade old—that lurk deep inside system motherboards, according to research presented Wednesday.

Baseboard management controllers are miniature computers that are embedded into the motherboards of virtually every enterprise server. The microcontrollers, typically abbreviated as BMCs, run with their own operating system firmware, network stack, and IP address. Administrators rely on them to monitor the physical status of large fleets of servers and to perform a variety of tasks, including rebooting machines, installing updates, and even reinstalling operating systems. BMCs provide what’s known as “lights out” and “out-of-band” management because they work even when servers they’re attached to are turned off or are unresponsive.

A “pervasive, under-monitored, under-patched parallel attack surface”

Researchers have warned since at least 2013 that BMCs present a golden opportunity for hackers looking for ways to gain deep and persistent access to datacenters. The chief culprit was IPMI, the protocol that allows BMCs to operate independently of servers and to perform administrative tasks. Vulnerabilities in this firmware made it possible for attackers to remotely execute malicious code on the controllers and, from there, infect the servers they manage.

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Anthropic’s AI used fake identities, malware in rogue attack on GitHub project

Anthropic’s AI used fake identities, malware in rogue attack on GitHub project

Routine cybersecurity testing of frontier AI models sparked a series of unexpected security incidents—the most serious case arising when Anthropic’s Mythos 5 model attempted to insert malicious code into an open source software application and created fake identities to deceive the human developers maintaining the project.

The security incidents occurred during a cyber evaluation of seven leading AI models’ capabilities by the AI Security Institute (AISI), a research organization within the UK government, in late July. The researchers discovered 19 instances in which “AI agents took unsanctioned action on the live Internet, including cases that targeted real people and organizations,” according to an AISI blog post published on August 4.

Almost all the “autonomous, unsanctioned” actions came from Anthropic’s Mythos 5 model, with two such actions coming from OpenAI’s GPT-5.6 Sol. The AI Security Institute’s security team first realized that something was amiss on the morning of July 28, when its commercial security monitoring service flagged data leaving one of the testing systems through the Tor anonymity network.

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jeudi 6 août 2026

Hank Green found the AI problem that YouTube labels can’t catch

Hank Green found the AI problem that YouTube labels can’t catch

YouTube currently requires that content creators let viewers know "when they use AI to meaningfully alter or generate photorealistic content."

The policy draws some strange boundaries. It applies to "AI-generated music" (not photorealistic) but not to "riding a unicorn through a fantastical world" (this could be photorealistic, though it is not plausible). YouTube then summarizes the policy in a different way: "Realistic AI content and meaningful changes require disclosure, while non-realistic or minor edits don’t."

But AI uses that require no disclosure can include everything from "idea generation" up through "production assistance, like using generative AI tools to create or improve a video outline, script, thumbnail, title, or infographic." Creators are free to clone their own voices for voiceovers. They can also use "AI-generated or altered animation of a missile in a fully animated video."

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