Image created with Gemini. Image prompt: Hand-painted Studio Ghibli style scene of a small autonomous delivery cart rolling down a sunlit cobbled seaside street, its rounded front painted like a smiling porcelain mask with rose-blush cheeks, one side panel swung open to reveal intricate gears and a single glowing sensor eye behind the grin, with a wooden arched shop sign overhead reading ‘Autonomous’ in bold clean hand-lettered type. Warm terracotta rooftops, soft teal harbor in the distance, gentle golden-hour light, cinematic wide framing, gouache and watercolor textures, cozy but quietly unsettling mood.
Today, we’re introducing SimFoundry, our real2sim2real framework at NVIDIA GEAR that automatically turns real-world scenes into simulation-ready worlds from a single image or video. Website:
https://t.co/Iw38VtarSA Paper:
https://t.co/GcDYAUfVwP This work marks a major step for”
https://x.com/yukez/status/2072697990402170906
LeWorld model becomes ADAPTIVE and meets MODEL-PREDICTIVE CONTROL AdaJEPA by Yann LeCun and colleagues performs actions, then checks the predicted latent state versus the observed and adapts at TEST TIME. Similar to meta-learning … Paper:
https://x.com/gklambauer/status/2072213633640075366
Most evaluations of world models ask, “Does this look right?” 🌎 We built WorldModelGym to ask a different question: if an agent actually uses this model to make decisions, does it still choose well? 🏋️🏃♂️🏁🦾 A simulation can look physically plausible and still lead an agent”
https://x.com/RekaAILabs/status/2072325792558956573
Most world models predict what happens next. Sora predicts pixels, JEPA compresses observations. NEO tries to figure out why something happened instead. Example: show it a shape moving left then down, and instead of just reconstructing that motion, it learns “left” and “down
https://x.com/LiorOnAI/status/2072380547603829224
🎮🕹️🖥️ CS2-10k is now available on @huggingface 🚀 600,000+ egocentric gameplay videos. 10,000+ hours. Every frame paired with the exact keyboard, mouse, and 3D position data that produced it. If you’re working on world models, action-conditioned video generation, or egocentric”
https://x.com/RekaAILabs/status/2071970771233038475
A true survey highlight: World Action Models: A Survey by @NUSingapore World Action Models (WAMs) are embodied systems that connect future prediction directly to action. → WAMs unify Vision-Language-Action policies with predictive world models. This survey covers: WAM”
https://x.com/TheTuringPost/status/2070790639021920356
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