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TechCrunch reports that next‑generation physical AI models will require richer data than public videos, including multi‑angle footage, dense annotations, and potentially brain wave readings. The article frames neural signals as a future data modality for improving embodied AI training and evaluation.
X Square Robot outlines an open embodied-AI stack combining curated interaction data, an event-oriented world model (WALL-WM), and a pretrained action model (Wall-OSS-0.5) with a semantic action tokenizer. The company emphasizes data validity through physical replay and claims cross-embodiment transfer and deployable pretraining before fine-tuning, while noting most results come from its own robots and benchmarks.
General Intuition sedang berunding untuk mengumpul US$300 juta pada penilaian sekitar US$2 bilion. Menurut TechCrunch AI, syarikat itu melatih AI berperwujudan dan model dunia menggunakan dataset Medal — 2 bilion video setahun dari 10 juta pengguna aktif sebulan.
