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DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation

RT by @demishassabis: omni continues to blow my mind (left original / right generated) waymo looks sick in matte black

Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation

RT by @demishassabis: Can't believe we're getting this before GTA 6

RT by @demishassabis: Project Genie 🤝 @GoogleMaps Street View You can now take real U.S. places and transform them into new, interactive worlds. 🌍

AI Dev 26 x SF | Thierry Damiba: Edge to Cloud Video Anomaly Detection

RT by @demishassabis: I uploaded a screenshot of Google Maps to Gemini Omni with a route drawn on it. Then I prompted it to create a first person view of someone driving a taxi cab along the route in the reference image. Pretty close to the real thing.

Simulate real-world places with Project Genie and Street View

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://x.com/zan2434/status/2046982383430496444 There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

RT by @drfeifei: see around corners with Marble 1.1 Plus 👀

RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning