Instagram addresses its creep problem.
Adult-managed accounts that primarily post pictures of children will no longer be recommended to adult users 'who have shown potentially suspicious behavior,' according to Meta, and vice versa — making them harder to find in Search. This was announced today alongside new features for teen accounts that make it easier to report and block unwanted contact in DMs. Expanding Teen Account Protections to More Accounts
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Gizmodo
2 minutes ago
- Gizmodo
China's Newest Pair of Smart Glasses Are Meta's Biggest Threat Yet
It's official: Alibaba is entering the smart glasses game. After rumors that percolated late last week, Alibaba unveiled its official plans to put out frames that look awfully similar to Meta's Ray-Bans, but with a few key advantages that could help them blow way past U.S. competition. The smart glasses, called Quark AI, are actually a lot more similar to Meta's Ray-Bans than I expected. For one, they do not feature a display of any kind and instead focus more on here-and-now features like calling, audio, translation, and using a built-in camera to take pictures. If those all sound like familiar capabilities, it's because Meta's Ray-Bans can do all of those things. If you're reading that with deflation, I wouldn't blame you, given how advanced China's smart glasses field has become and the resources that Alibaba has at its disposal. But just because those capabilities are similar doesn't mean Quark AI can't push the ball forward. Alibaba just previewed its first AI-powered smart glasses — Quark — at WAIC 2025 in Shanghai. 🔹 Built on the Qwen model series🔹 Qualcomm AR1 + low-power dual system chip🔹 Seamless Alipay, Taobao, and Amap integration🔹 40% slimmer than current market glasses — Wes Roth (@WesRothMoney) July 28, 2025For one, Alibaba, unlike Meta, has access to different services that Meta doesn't. Among those is Alipay, which is a popular mobile payment service used predominantly in China but is becoming more widely accepted worldwide. As we've already seen in other smart glasses, like Xiaomi's recent entrant, that integration opens the door for some cool (and maybe concerning) mobile payment features. Similar to Xiaomi's smart glasses, Alibaba says Quark AI supports Alipay for purchasing things using QR codes. If it's anything like Xiaomi's feature—and I'm almost certain it is—users will use the camera to scan a QR code and then use the glasses' voice assistant to confirm payment. If it works as promised, that gives Alibaba's glasses one more advantage over Meta. Oh, also, these are 40% smaller than other similar smart glasses on the market, according to Alibaba, which is great for anyone who doesn't want to look like they're wearing a gadget on their face. And it's not just mobile payments where Alibaba may have the edge in more feature-rich smart glasses. Alibaba also shared plans to integrate navigation into its glasses, which is an area where I find Meta's Ray-Bans to be sorely lacking. I've been using Meta's Ray-Bans for almost a year now, and while I can load up Google Maps on my phone and pipe in step-by-step navigation through its Bluetooth audio, it's not the same as doing all of that natively. While I can't say for sure, Alibaba's glasses, with a tighter integration of GPS, may be able to launch navigation natively by prompting the glasses with a voice command. That may seem small, but it goes a long way in making smart glasses feel actually smart. It's hard to say for sure just where Alibaba will bring its smart glasses when they actually get released, and there's still a lot we don't know, including price, details on camera quality, battery life, and all that very important technical stuff. But from a possibility perspective, it's hard not to recognize a lot of potential for Meta-crushing functionality. If Quark AI is half as capable as Xiaomi's entrant into the space, I'd say Meta has a lot of catching up to do with its third-gen Ray-Ban smart glasses.
WIRED
3 minutes ago
- WIRED
Meta's AI Recruiting Campaign Finds a New Target
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In the first year alone, some staffers were guaranteed to make between $50 million and $100 million, sources say (a spokesperson for the lab declined to comment). So far at Thinking Machines Lab, not a single person has taken the offer. Zuckerberg's initial outreach is low-key, according to messages viewed by WIRED. In some cases, he sent recruits a direct message on WhatsApp asking to talk. From there, the interviews move fast—a long call with the CEO himself, followed by conversations with chief technology officer Andrew 'Boz' Bosworth and other Meta executives. Here's a pre–Meta Superintelligence Labs recruiting message Zuckerberg sent to a potential recruit (the tone hasn't changed much today): "We've been following your work on advancing technology and the benefits of AI for everyone over the years. We're making some important investments across research, products and our infrastructure in order to build the most valuable AI products and services for people. We're optimistic that everyone who uses our services will have a world-class AI assistant to help get things done, every creator will have an AI their community can engage with, every business will have an AI their customers can interact with to buy things and get support, and every developer will have a state-of-the-art open source model to build with. We want to bring the best people to Meta, and we would love to share more about what we are building." During these conversations, Boz has been upfront about his vision for how Meta will compete with OpenAI. While the tech giant has lagged behind its smaller competitor in building cutting-edge models, it is willing to use its open source strategy to undercut OpenAI, sources say. The idea is that Meta can commoditize the technology by releasing open source models that directly compete with the ChatGPT maker. 'The pressure has always been there since the start of this year, and I think we saw that culminate with Llama 4 being rushed out of the door,' a source at Meta tells me. The rollout of Meta's latest family of models was delayed due to struggles improving its performance, and once it was released, there was a lot of drama about the company appearing to game a benchmark to make other models appear better than they actually were. Meta did not respond on the record to WIRED's request for comment prior to publication. So why weren't the flashy tactics deployed by Meta successful in recruiting TML's A-listers? Ever since Zuckerberg tapped Scale AI cofounder Alexandr Wang to colead the new lab (along with former GitHub CEO Nat Friedman), sources have been pinging me with gossip about Wang's leadership style and concerns about his relative lack of experience. Not everyone is keen to work for Wang, I'm told—though it hasn't yet stopped Zuckerberg from recruiting nearly two dozen for the lab so far (Altman said that Meta didn't get its 'top people' and 'had to go quite far down their list' at OpenAI). Other sources I spoke with say they weren't inspired by the product roadmap at Meta—money can be made anywhere, but creating what some sources see as AI slop for Reels and Facebook isn't particularly compelling. At OpenAI and Anthropic, you'll still get gobs of money, and the missions center around more lofty goals like building artificial general intelligence that 'benefits all of humanity.' Sources I spoke with who went through the interview process with Meta said it's become a way to test one's market value in the AI industry. It's not like TML is short on cash, either. The startup's latest funding round—the largest seed round in history!—suggests researchers who stay don't have to choose between being a missionary or a mercenary. The one-year-old startup is already valued at $12 billion, and it hasn't even released a product yet. Por qué no los dos , as they say. Reporting this column, I spoke to sources across most of the major AI labs to ask: Are you bullish or bearish on MSL? Rarely did I get a diplomatic 'it's too early to tell.' Instead, I heard a lot of chatter about big egos and a perceived lack of coherent strategy. For my part, and I'm not just trying to be diplomatic, I actually do think it's too early to tell. I mean, they say you can't buy taste, but that's sort of Zuckerberg's whole schtick. Now that the team officially costs Meta billions of dollars, the pressure is on to turn this recruiting sprint into a successful lab. So far, I'm told, everyone at MSL reports to Wang, and a proper org chart hasn't been finalized. Once that structure is defined, we'll be able to figure out a bit more about what the lab hopes to become—as long as Meta can hang onto its buzzy new hires. This is an edition of Kylie Robison's Model Behavior newsletter . Read previous newsletters here.
Business Insider
3 minutes ago
- Business Insider
Meta will let some job candidates use AI in their coding interviews
Is it cheating to use AI in a job interview? Not if the company's OK with it. Meta is, at least in some cases. The company is going to start allowing candidates to use an AI assistant in coding interviews. 404 Media's Jason Koebler first reported the news, which Meta has confirmed to Business Insider. A post on the company's internal message board from earlier this month publicized "AI-Enabled Interviews." "Meta is developing a new type of coding interview in which candidates have access to an AI assistant," the post read. "This is more representative of the developer environment that our future employees will work in, and also makes LLM-based cheating less effective." The post also said Meta is seeking "mock candidates" among its current employees to test out this interview process. "The questions are still in development; data from you will help shape the future of interviewing at Meta," it said. "We're obviously focused on using AI to help engineers with their day-to-day work, so it should be no surprise that we're testing how to provide these tools to applicants during interviews," a Meta spokesperson said in a statement to BI. Meta CEO Mark Zuckerberg has talked about AI's impact on coding before. "Probably in 2025, we at Meta, as well as the other companies that are basically working on this, are going to have an AI that can effectively be a sort of midlevel engineer that you have at your company that can write code," he said on the Joe Rogan Experience podcast in January. Meta's stance on candidates' use of AI in job interviews breaks from that of its Big Tech peers. Amazon, for example, recently instructed internal recruiters to disqualify job applicants who are found to have used an AI tool in an interview. AI research lab Anthropic initially told job applicants not to use AI assistants during the job application process before reversing course. Meta also plans to start using AI in its recruitment processes, specifically to automate tasks like testing coding skills and devising question prompts, according to an internal document obtained by BI. "Like many other companies, we're using AI to make recruiting more efficient and match candidates with open roles more quickly," a Meta spokesperson told BI at the time. "Humans talking to humans will always be part of the interview process, that remains unchanged."
