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TechCrunch AI · 2026/7/30 15:41:16

Meta says AI is making it easier to build new apps — and more are coming
AI 中文解读
Meta借助AI加速应用开发,新应用接踵而至。核心亮点:这家社交巨头终于找到让新应用快速“出圈”的方法——用AI缩短开发周期,并在现有平台上大力推广,Threads五亿月活就是最好证明。
通俗解读:Meta这些年没少折腾,从早期的Slingshot到后来的Bump,搞了一堆独立社交应用,基本都凉了。但这次不一样了:AI大模型能让团队像搭积木一样快速做出新应用,比如专门给卖家的、给群组的,甚至AI讲睡前故事,好不好用先扔出来试试,不行就撤,行就用AI推荐系统推给更多人。Threads就是这么火起来的。
实际影响:对普通人来说,你可能会在Meta的“全家桶”里看到越来越多稀奇古怪的小应用,比如用AI帮你自动写帖子的工具、更智能的购物助手。这些应用不再像以前那样“试用即终用”,而是会通过AI精准推荐到你眼前,甚至根据你的兴趣自动调整内容。以后“刷应用”不再是漫无目的地翻,而是AI替你挑好了最对胃口的那一款。
Meta is using AI to quickly launch apps, and more are on the way. During this week’s second-quarter earnings call, Meta CEO Mark Zuckerberg said the social giant has new apps in the works, following a recent spate of other launches that included an app for Marketplace sellers, one for Facebook Groups, a vibe-coded gaming app, a new photos app from Instagram, and an experiment involving AI bedtime stories.
Meta has spent years trying and failing to produce new, stand-alone social apps to complement its core platforms. Now, the company says that large language models (LLMs) make it possible to ship software faster, allowing it to test new ideas at a quicker pace.
“I’m … excited about how AI is helping our teams speed up product development,” Zuckerberg told investors on Wednesday’s call. “Earlier this year, we shipped Instagram Instants. We also just launched Forum, a stand-alone Groups app, and Seller, a stand-alone Marketplace app. I expect it to become a lot easier to ship new apps. So we are planning to build out more ideas and use our recommendation systems to scale them,” he said.
“AI is improving our core business; it’s making our apps more relevant and delivering better results for businesses. We’re starting to deliver more novel products, and we’ll have a lot more there soon as well,” Zuckerberg said.
Meta has been down this road before. In its earlier days, Meta (then known as Facebook) ran an internal incubator called Creative Labs, which aimed to test new social concepts.
That effort produced a handful of launches: the photo-sharing app Slingshot, the anonymous chat app Rooms, a Flipboard competitor called Paper, the Moments photo-sharing app, and a collaborative video app known as Riff. Those experiments came to an end in 2015, and the apps were eventually all shuttered, as the company struggled to find an audience for its efforts.
In the early 2020s, Meta tried again, this time with an internal R&D group, NPE Team, which tested apps that included the chat app Bump, social music app Aux, task app Move, dating app Spark, calling app CatchUp, zine maker E.gg, events app Venue, creator Q&A app Hotline, Cameo competitor Super, couples app Tuned, music app BARS, and others.
Again, none became a breakout success, and the apps were shut down.
Now Meta can point to at least one example of how AI is helping new apps scale. It has finally delivered a modest hit with Threads, which now has 500 million monthly active users. Zuckerberg likes to say Threads will one day become the company’s next billion-user app.
With Threads, Meta learned to heavily lean on its existing user base to help initially seed the app with people, then continued to heavily promote it across its existing platforms, including Facebook and Instagram. But LLMs are another key factor in Threads’ growth, as the company said it sees “significant gains” from its AI-powered content recommendations.
“We are finding that LLMs are increasingly capable of delivering ranking and recommendations gains,” Meta’s CFO Susan Li told investors on the call. “First, they make our existing systems smarter by understanding what the content is actually about and generating better training data. Second, LLM-powered agents are also helping with engineering development by evaluating content quality, detecting trends, and testing ranking changes.”
Li added that earlier this year, Meta reached a milestone: Every Reel and Feed post on Instagram is now automatically processed through an LLM and analyzed for topic and tone, which helps improve recommendations.
The company is also developing LLM-native recommendation systems, which could help it to better scale new apps as they arrive.
Investors didn’t follow up with company executives to ask more questions about the new apps Meta has in the works, as they were more concerned with AI spending and Meta’s growing enterprise ambitions. However, Zuckerberg suggested that people won’t have long to
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