nerd

07 Aug 2026

Slashdot

Framework Notifies 'All Customers' of a Data Breach Via Compromised Metabase BI Service

"Framework has been sending out email notifications to customers alerting of a limited data breach in which customer information was accessed through a Metabase BI service zero-day exploit," writes Slashdot reader DuoDreamer. Data includes customer names, email addresses, phone numbers, and physical addresses. "Framework is investigating whether or not this included Framework for Business customers as well." TechCrunch reports: Framework's spokesperson Eric Schumacher told TechCrunch that the breach affected "all customers," but declined to specify a specific number. Framework computers are relatively niche products, but some estimates say the company sold hundreds of thousands of devices. Metabase disclosed its own breach in a blog post on its official website, where it said that it was hacked by someone using an unknown security flaw, a so-called zero-day. The company said the hackers exploited the bug to give them the ability to access customers' databases stored on Metabase's cloud servers. In its email to customers, Framework also included the email Metabase sent to the company, which says hackers accessed Framework's cloud instance. The computer maker said it investigated the incident and found that hackers had stolen its customers' personal data, but did not include their payment information.

Hacker News

App Store Rejection of the Week: Dark Hours

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07 Aug 2026 6:59pm GMT

Ancient Library – 1,060 Greek/Latin texts, click any word to parse it

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07 Aug 2026 6:51pm GMT

Databricks drove down AI coding spend 70%

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07 Aug 2026 6:25pm GMT

Ars Technica

New official 30th anniversary Quake mission pack adds new maps and mechanics

19 new maps continue the story from MachineGames' other campaign additions.

07 Aug 2026 6:00pm GMT

Slashdot

Suno Says It Will Start Watermarking Songs

Suno says it will begin watermarking and fingerprinting AI-generated songs, tighten download policies to curb mass distribution, and explicitly prohibit deceptive audio and unauthorized voice or likeness cloning. The changes come as the company faces mounting copyright lawsuits, a recent adverse ruling in Germany, and scrutiny over a past data breach that revealed training-data sources. TechCrunch reports: In a blog post, co-founder and CEO Mikey Shulman shared core principles and said that the platform wants to promote original creation while enabling more people to make music with its AI tools. One of the key points of contention involved users uploading AI-generated songs on other streaming platforms and gaming the system to earn revenue. Suno said that now it will use audio watermarking and fingerprinting to prevent misuse on other streaming platforms. It's not clear if Suno will use an existing system like Google's Synth ID or adopt a new one, and the company did not say when contacted by TechCrunch about this. The startup also signed an agreement with lyrics provider Musixmatch to use its Sentinel system for copyright detection, the blog post said. [...] The company added that it plans to add a new download policy to bar mass distribution on streaming platforms, but declined to provide details on the record. Suno has also changed its community guidelines to explicitly prohibit "deceptive audio presented as real" and "using a real person's voice or likeness without permission" to prevent copycats.

Ars Technica

DOGE's wild, unverifiable savings claims discredited in US government report

DOGE's inflated "Wall of Receipts": 96% of grant savings unverifiable, GAO says.

07 Aug 2026 5:51pm GMT

OpenAI’s expensive smart speaker will use moving parts to seem “more alive”

Gurman report claims OpenAI confirmed the speaker is not an Apple ripoff.

07 Aug 2026 5:36pm GMT

Slashdot

ByteDance Is Training a 10-Trillion-Parameter Model To Chase the Frontier

ByteDance is reportedly training an AI model with roughly 10 trillion parameters as it tries to close the gap with leading frontier systems such as Anthropic's Mythos. The model is still in early pre-training, and its eventual performance will depend on more than scale alone, but the project underscores how aggressively Chinese firms are pushing frontier AI despite limits on access to advanced chips. The Next Web reports: The size is itself the statement. At roughly 10 trillion parameters, the model would be more than three times as large as Moonshot's Kimi K3, which sits among the biggest Chinese models today at about 2.8 trillion. [...] Parameter count is not everything, of course. Bigger models are not automatically better, and the industry has learned that data quality, training technique and efficiency often matter as much as raw scale. Even so, committing the compute to train a model this size is a declaration in its own right, a signal that ByteDance wants to compete at the very top rather than ship a capable also-ran.