To solve a key friction point in VR, Meta developed its own graphics engine, "Meta Horizon Engine." Unlike existing engines like Unity that can take over 20 seconds to load a new world, Meta's is built for near-instant transitions. This "web page-like" speed is seen as critical for encouraging user exploration and making the metaverse feel fluid.
Unlike video models that generate frame-by-frame, Marble natively outputs Gaussian splats—tiny, semi-transparent particles. This data structure enables real-time rendering, interactive editing, and precise camera control on client devices like mobile phones, a fundamental architectural advantage for interactive 3D experiences.
Creating rich, interactive 3D worlds is currently so expensive it's reserved for AAA games with mass appeal. Generative spatial AI dramatically reduces this cost, paving the way for hyper-personalized 3D media for niche applications—like education or training—that were previously economically unviable.
As frontier AI models reach a plateau of perceived intelligence, the key differentiator is shifting to user experience. Low-latency, reliable performance is becoming more critical than marginal gains on benchmarks, making speed the next major competitive vector for AI products like ChatGPT.
Hera's core technology treats motion graphics as code. Its AI generates HTML, JavaScript, and CSS to create animations, similar to a web design tool. This code-based approach is powerful but introduces the unique challenge of managing the time dimension required for video.
Traditional video models process an entire clip at once, causing delays. Descartes' Mirage model is autoregressive, predicting only the next frame based on the input stream and previously generated frames. This LLM-like approach is what enables its real-time, low-latency performance.
Instead of purely generative approaches, Moon Lake AI's strategy for creating interactive worlds involves using AI reasoning models to control and combine existing high-fidelity computer graphics tools. This is analogous to an LLM using a calculator, leveraging specialized tools for a more efficient and higher-quality outcome.
Mark Zuckerberg's plan to slash the metaverse division's budget signifies a major strategic pivot. By reallocating resources from virtual worlds like Horizon to AI-powered hardware, Meta is quietly abandoning its costly VR bet for the more tangible opportunity in augmented reality and smart glasses.
The next human-computer interface will be AI-driven, likely through smart glasses. Meta is the only company with the full vertical stack to dominate this shift: cutting-edge hardware (glasses), advanced models, massive capital, and world-class recommendation engines to deliver content, potentially leapfrogging Apple and Google.
Current multimodal models shoehorn visual data into a 1D text-based sequence. True spatial intelligence is different. It requires a native 3D/4D representation to understand a world governed by physics, not just human-generated language. This is a foundational architectural shift, not an extension of LLMs.
Unlike streaming text from LLMs, image generation forces users to wait. An A/B test by one of Fal's customers proved that increased latency directly harms user engagement and the number of images created, much like slow page loads hurt e-commerce sales.