TECH NEWS

Yeet: The AI Dating App for Gen Z Built to Save You From Bad Chats

Online dating has rapidly progressed from a little secret reserved for casual encounters into an everyday, booming business. Tinder, Hinge, Grindr, Bumble, Raya, Match and OKCupid are only a handful of the most popular dating apps, promising your "happily ever after" is just a few or a few thousand, swipes away.

Yeet, a newcomer to the Gen Z dating app game, does away with swiping altogether. It also comes equipped with Yeeta, marketed as the "world's first AI dating agent." The app's unique appeal leans on artificial intelligence acting as a matchmaker to help you build a connection before you ever meet IRL.

Yeet is based on a broad AI system that integrates multiple algorithms, depending on the task, with the model processing everything from emotional signals to real-time conversational dynamics, said Penny Chen, co-founder and marketing head at Yeet.

Think of it like...

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Will the Xbox Helix Have a Disc Drive?

After PlayStation announced that it will end physical disc production in 2028, many have taken that to mean that the PlayStation 6 will no longer have a disc drive. It’s a good assumption to make, however, it’s still an assumption. We know next to nothing about the PS6.

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Why Feature Flags Should Be Treated as Production Infrastructure

Beginning with a very simple concept - to turn on/off new functionality using a switch - many developers use feature flags to prevent needing to deploy the application again. The initial implementation may seem harmless at this stage (see below): if (featureFlags.newCheckout) { return <NewCheckout />;}return <

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The Demotion Ladder: A Year of Governing Claude Code

I thought that if I wrote my feedback down, the agent would work through it like a checklist. And for a while that theory held. Every time I caught something in review, I'd write the rule into a doc, and the next run would be a bit better

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Industrial MLOps as a Distributed Operating Model

Industrial MLOps is the discipline of managing ML systems across distributed environments with different trust boundaries, operational constraints, and availability requirements. When people talk about MLOps, they often imagine a fairly straightforward lifecycle. A team trains a model, validates it, packages it, and deploys it to production. Even if the

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Will the Xbox Helix Have a Disc Drive?

Why Feature Flags Should Be Treated as Production Infrastructure

The Demotion Ladder: A Year of Governing Claude Code

Industrial MLOps as a Distributed Operating Model