В «Ахмате» рассказали об отборе военных для участия в операции «Поток»20:46
Robot vacuums with "climbing" capabilities also use AI to better determine which obstacles they can (and should) actually try to scale, and which they should stay away from. The Dreame X60 Max Ultra Complete and Roborock Qrevo Curv 2 Flow both have retractable legs that can hoist the vacuum's chassis a few inches up and over various thresholds. Using AI to make a game-time decision, these smart vacs know which small barriers to smoothly drive over (thick floor type changes or door saddles, sliding door tracks into another room or closet, or chair legs that lay flat across the floor) and which small barriers to steer around (like shoes.) AI-powered robot vacuums have a better concept of where they can fit in general, making them much less likely to get stuck.
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This is a pretty easy pattern to follow: default to wrapping non-IntoWasmAbi types in Rc or Arc1 depending on if and how you have your code structured for async. The cost of going over the Wasm boundary definitely eclipses an Rc bump, so this is highly unlikely to be a performance bottleneck.