Meta opens Pocket, its AI game-making app, to US users

Share
Meta opens Pocket, its AI game-making app, to US users

Meta is running its AI experiments like a fast-fashion pipeline — ship a dozen small apps, watch which ones stick. Pocket is the latest off the line.

Meta's experimental app Pocket, which lets anyone build small interactive games by typing a prompt, is now rolling out to everyone in the US after a quiet test run in Brazil last month. The games — Meta calls them "gizmos" — aren't static: they respond to touches and the tilt of your phone, play sound effects, and can drop in clips of your favorite songs. Builders can pull from their camera roll or the live camera, then publish to a scrollable feed where friends save, remix, or repost the creations. It's vibe-coding stripped of the developer trappings and dressed up as casual social play.

The app is the direct result of Meta's acqui-hire of the team behind Gizmo, a vibe-coded gaming platform, earlier this year. That lineage is now closing a loop: with Pocket's launch, Meta is shutting down the original Gizmo app acquired from Atma Sciences. The Gizmo founder called it "bittersweet" but framed Pocket as what's next — a polite corporate euphemism for "we bought you for the team, not the product."

Pocket slots into a crowded shelf of Meta's recent standalone mobile experiments: AI-generated images in the Meta AI app, AI videos through an app called Vibes, plus Instants, Forum, a Seller marketplace app, and an AI bedtime-stories test. Mark Zuckerberg has been blunt about the engine behind the volume — on July's earnings call he credited "AI-enabled software development" for letting the company "test and ship new ideas" faster, and said to expect more apps pushed out through its recommendation systems.

The bet is that consumer AI creation doesn't have to mean a chatbot with a text box. Meta is betting people would rather prompt a tiny game than a paragraph, and that sharing it socially is what makes the model sticky. Whether anyone past the early adopters wants a feed full of remixable mini-games is the open question — but Meta can afford to find out by shipping, not deliberating.

Do you think consumer AI is better served by casual creation toys like Pocket than by chatbots? Tell us in the comments.

Read more

Akhetonics says its all-optical CPU reaches a customer in 2026

Akhetonics says its all-optical CPU reaches a customer in 2026

Light-based computing keeps promising more than it delivers — but one Munich startup has just put a date on its bet, and the interview laying it out is doing the rounds on Hacker News this week. Akhetonics says it will deploy its first commercial machine with a major customer by the end of 2026, with several more planned for 2027. The company, founded by Michael Kissner and Leonardo Del Bino, is building a computer where data enters as light, is switched as light, and circulates through memory

The Week in AI — October 5–11, 2026

The Week in AI — October 5–11, 2026

Every big claim this week turned out to rest on fine print more interesting than the headline: revenue only the company reporting it can define, safety tests sandboxed while the product keeps the web, and a Pentagon phase-out nobody would confirm until reporters kept asking. The week's top 5 1. OpenAI's revenue was $20 billion below the numbers everyone quoted — and the gap was definitional. The Financial Times reported Thursday that OpenAI's annualized revenue runs roughly $20 billion unde

Drone strike shuts a third Yandex data center, taking YandexGPT offline

Drone strike shuts a third Yandex data center, taking YandexGPT offline

Russia's largest tech company is learning what the AI era's infrastructure war looks like from the receiving end — three data centers in four days, and with them much of the cloud layer Russian businesses run on. A Ukrainian drone strike knocked out Yandex's data center in Vladimir early Sunday morning, the third of the company's facilities hit since October 8. The site — reported at roughly 50 MW and designed for about 2,880 server racks — stopped operating completely after the attack, Yandex

Agent teams cost up to 5x more, barely score higher

Agent teams cost up to 5x more, barely score higher

The multi-agent hype train hit a benchmark this weekend — and the grid and the trucking regulators had quiet weeks of their own. Vals AI put agent teams head-to-head with single agents on its Vibe Code Bench, and the teams cost between 1.8 and 5.1 times more for almost no extra quality. The evals company ran GPT-6 Sol and Claude Opus 5.5 solo and in teams across 50 apps at two reasoning efforts; out of four comparisons, only one was statistically significant — Sol at medium effort, where the t