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More than 70,000 AT&T cellular customers reported being unable to connect to service early Thursday morning. While early reports suggested multiple carriers, including Verizon and T-Mobile, seemed to be affected, that appears to be a knock-on effect of a major network going down.

Service monitoring site Downdetector was showing multiple post-paid and pre-paid carriers as having increased outage reports starting at around 4 am Eastern time. An Ars editor in Texas has seen “SOS” on their iPhone since 4:30 am Eastern time and has been unable to make Wi-Fi calls.

AT&T acknowledged the outage to CNBC, telling the network that it was “working urgently to restore service” to customers and that it recommended Wi-Fi calling until service could be restored. Verizon and T-Mobile told CNBC that they suspected their customers were reporting outages when they could not reach customers on AT&T or resellers that use AT&T networks.

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iMessage is getting a major makeover that makes it among the two messaging apps most prepared to withstand the coming advent of quantum computing, largely at parity with Signal or arguably incrementally more hardened.

On Wednesday, Apple said messages sent through iMessage will now be protected by two forms of end-to-end encryption (E2EE), whereas before, it had only one. The encryption being added, known as PQ3, is an implementation of a new algorithm called Kyber that, unlike the algorithms iMessage has used until now, can’t be broken with quantum computing. Apple isn’t replacing the older quantum-vulnerable algorithm with PQ3—it’s augmenting it. That means, for the encryption to be broken, an attacker will have to crack both.

Making E2EE future safe

The iMessage changes come five months after the Signal Foundation, maker of the Signal Protocol that encrypts messages sent by more than a billion people, updated the open standard so that it, too, is ready for post-quantum computing (PQC). Just like Apple, Signal added Kyber to X3DH, the algorithm it was using previously. Together, they’re known as PQXDH.

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On Wednesday, Google announced a new family of AI language models called Gemma, which are free, open-weights models built on technology similar to the more powerful but closed Gemini models. Unlike Gemini, Gemma models can run locally on a desktop or laptop computer. It’s Google’s first significant open large language model (LLM) release since OpenAI’s ChatGPT started a frenzy for AI chatbots in 2022.

Gemma models come in two sizes: Gemma 2B (2 billion parameters) and Gemma 7B (7 billion parameters), each available in pre-trained and instruction-tuned variants. In AI, parameters are values in a neural network that determine AI model behavior, and weights are a subset of these parameters stored in a file.

Developed by Google DeepMind and other Google AI teams, Gemma pulls from techniques learned during the development of Gemini, which is the family name for Google’s most capable (public-facing) commercial LLMs, including the ones that power its Gemini AI assistant. Google says the name comes from the Latin gemma, which means “precious stone.”

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On Tuesday, ChatGPT users began reporting unexpected outputs from OpenAI’s AI assistant, flooding the r/ChatGPT Reddit sub with reports of the AI assistant “having a stroke,” “going insane,” “rambling,” and “losing it.” OpenAI has acknowledged the problem and is working on a fix, but the experience serves as a high-profile example of how some people perceive malfunctioning large language models, which are designed to mimic humanlike output.

ChatGPT is not alive and does not have a mind to lose, but tugging on human metaphors (called “anthropomorphization”) seems to be the easiest way for most people to describe the unexpected outputs they have been seeing from the AI model. They’re forced to use those terms because OpenAI doesn’t share exactly how ChatGPT works under the hood; the underlying large language models function like a black box.

“It gave me the exact same feeling—like watching someone slowly lose their mind either from psychosis or dementia,” wrote a Reddit user named z3ldafitzgerald in response to a post about ChatGPT bugging out. “It’s the first time anything AI related sincerely gave me the creeps.”

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After years of being outmaneuvered by snarky ransomware criminals who tease and brag about each new victim they claim, international authorities finally got their chance to turn the tables, and they aren’t squandering it.

The top-notch trolling came after authorities from the US, UK, and Europol took down most of the infrastructure belonging to Lockbit, a ransomware syndicate that has extorted more than $120 million from thousands of victims around the world. On Tuesday, most of the sites Lockbit uses to shame its victims for being hacked, pressure them into paying, and brag of their hacking prowess began displaying content announcing the takedown. The seized infrastructure also hosted decryptors victims could use to recover their data.

this_is_really_bad

Authorities didn’t use the seized name-and-shame site solely for informational purposes. One section that appeared prominently gloated over the extraordinary extent of the system access investigators gained. Several images indicated they had control of /etc/shadow, a Linux file that stores cryptographically hashed passwords. This file, among the most security-sensitive ones in Linux, can be accessed only by a user with root, the highest level of system privileges.

Enlarge / The real Will Smith eating spaghetti, parodying an AI-generated video from 2023. (credit: Will Smith / Getty Images / Benj Edwards)

On Monday, Will Smith posted a video on his official Instagram feed that parodied an AI-generated video of the actor eating spaghetti that went viral last year. With the recent announcement of OpenAI’s Sora video synthesis model, many people have noted the dramatic jump in AI-video quality over the past year compared to the infamous spaghetti video. Smith’s new video plays on that comparison by showing the actual actor eating spaghetti in a comical fashion and claiming that it is AI-generated.

Captioned “This is getting out of hand!”, the Instagram video uses a split screen layout to show the original AI-generated spaghetti video created by a Reddit user named “chaindrop” in March 2023 on the top, labeled with the subtitle “AI Video 1 year ago.” Below that, in a box titled “AI Video Now,” the real Smith shows 11 video segments of himself actually eating spaghetti by slurping it up while shaking his head, pouring it into his mouth with his fingers, and even nibbling on a friend’s hair. 2006’s Snap Yo Fingers by Lil Jon plays in the background.

In the Instagram comments section, some people expressed confusion about the new (non-AI) video, saying, “I’m still in doubt if second video was also made by AI or not.” In a reply, someone else wrote, “Boomers are gonna loose [sic] this one. Second one is clearly him making a joke but I wouldn’t doubt it in a couple months time it will get like that.”

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Law enforcement agencies including the FBI and the UK’s National Crime Agency have dealt a crippling blow to LockBit, one of the world’s most prolific cybercrime gangs, whose victims include Royal Mail and Boeing.

The 11 international agencies behind “Operation Cronos” said on Tuesday that the ransomware group—many of whose members are based in Russia—had been “locked out” of its own systems. Several of the group’s key members have been arrested, indicted, or identified and its core technology seized, including hacking tools and its “dark web” homepage.

Graeme Biggar, NCA director-general, said law enforcement officers had “successfully infiltrated and fundamentally disrupted LockBit.”

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On Friday, Bloomberg reported that Reddit has signed a contract allowing an unnamed AI company to train its models on the site’s content, according to people familiar with the matter. The move comes as the social media platform nears the introduction of its initial public offering (IPO), which could happen as soon as next month.

Reddit initially revealed the deal, which is reported to be worth $60 million a year, earlier in 2024 to potential investors of an anticipated IPO, Bloomberg said. The Bloomberg source speculates that the contract could serve as a model for future agreements with other AI companies.

After an era where AI companies utilized AI training data without expressly seeking any rightsholder permission, some tech firms have more recently begun entering deals where some content used for training AI models similar to GPT-4 (which runs the paid version of ChatGPT) comes under license. In December, for example, OpenAI signed an agreement with German publisher Axel Springer (publisher of Politico and Business Insider) for access to its articles. Previously, OpenAI has struck deals with other organizations, including the Associated Press. Reportedly, OpenAI is also in licensing talks with CNN, Fox, and Time, among others.

Enlarge / A photo of Galactic Compass running on an iPhone. (credit: Matt Webb / Getty Images)

On Thursday, designer Matt Webb unveiled a new iPhone app called Galactic Compass, which always points to the center of the Milky Way galaxy—no matter where Earth is positioned on our journey through the stars. The app is free and available now on the App Store.

While using Galactic Compass, you set your iPhone on a level surface, and a big green arrow on the screen points the way to the Galactic Center, which is the rotational core of the spiral galaxy all of us live in. In that center is a supermassive black hole known as Sagittarius A*, a celestial body from which no matter or light can escape. (So, in a way, the app is telling us what we should avoid.)

But truthfully, the location of the galactic core at any given time isn’t exactly useful, practical knowledge—at least for people who aren’t James Tiberius Kirk in Star Trek V. But it may inspire a sense of awe about our place in the cosmos.

Enlarge / Snapshots from three videos generated using OpenAI’s Sora.

On Thursday, OpenAI announced Sora, a text-to-video AI model that can generate 60-second-long photorealistic HD video from written descriptions. While it’s only a research preview that we have not tested, it reportedly creates synthetic video (but not audio yet) at a fidelity and consistency greater than any text-to-video model available at the moment. It’s also freaking people out.

“It was nice knowing you all. Please tell your grandchildren about my videos and the lengths we went to to actually record them,” wrote Wall Street Journal tech reporter Joanna Stern on X.

“This could be the ‘holy shit’ moment of AI,” wrote Tom Warren of The Verge.