Unverified50% confidenceFactExact time
The main technical difficulties in the direction of multimodal creative generation lie in: high cost of acquiring training data (especially annotated video and 3D scenes), large compute consumption, and evaluation standards that have not yet been unified.
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10/12/2026
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UnverifiedThe multi-stage training approach carries costs including complex training pipelines, the need to optimize multiple modules separately, error accumulation across stages, and latent representation quality capping the generation ceiling.74% similarUnverifiedReasoning models are extremely costly to train, typically requiring a combination of large-scale reinforcement learning and carefully designed reward models to acquire the capability.73% similar
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