@TC_RottenRose@FollowAsh_ This is the struggle! When I take mine to the boarding places he gets so dramatically sad looking in the truck but when we get there he gets so mad overjoyed and forgets I exist 🤣 then I pick him up and he gives the same dramatic look, there’s no winning
@XsollaSupport@NianticHelp Still waiting on any acknowledgment of the shenanigans from last week but perhaps that’s too much to hope for from a supposed professional corporation these days.
@NianticHelp I’m really annoyed after having purchased a tour pass ultra to find that it’s not at all what I was trying to buy because of your deceptive naming. I tried to request a refund through Xsolla as directed but it refuses to add the purchase to request a refund!
@XsollaSupport@NianticHelp Not on this app you haven’t, and you’ve already avoided responsibility to my refund request on your web store. Horrible customer service and experience!
Folks. Can I explain something about world models? Seems like today might be a good day for that.
Advances in large-scale “world models” — whether developed by partners like Google or others — materially expand the frontier of interactive content creation. These models can generate high-quality, interactive, video-like experiences from natural language or minimal input.
Today, they are primarily editable through prompting, which limits the level of determinism and precision required for production-grade game mechanics. As a result, their outputs remain probabilistic and non-deterministic, making them unsuitable on their own for games that require consistent, repeatable player experiences.
Rather than viewing this as a risk, we see it as a powerful accelerator. Video-based generation is exactly the type of input our Agentic AI workflows are designed to leverage—translating rich visual output into initial game scenes that can then be refined with the deterministic systems Unity developers use today. Our agents already generate high-quality scenes from static video. Interactive, camera-controllable video from world models would further enhance this pipeline and materially improve the fidelity and speed of early-stage content creation. We believe this represents a meaningful step forward for AI-driven development across the industry.
Unity’s role is to operationalize these advances. Outputs from world models are ingested into Unity’s real-time engine, where they are converted into structured, deterministic, and fully controllable simulations. Within Unity, creators define physics, gameplay logic, networking, monetization, and live-operations systems to ensure consistent behavior across devices and sessions.
This combination enables developers to move faster from concept to scalable product: AI accelerates environment and asset generation, while Unity provides the execution layer that transforms generated content into reliable, monetizable experiences.
As a result, world models expand content supply and reduce development friction, while Unity remains the system of record for runtime, distribution, and long-term operations. This dynamic broadens Unity’s addressable market and reinforces its central role in the interactive ecosystem.
@FollowAsh_ I used to do those long days on my roadtrips but now I take a more relaxed approach and break drives up more to enjoy the journey as much as the destination.