AI picking every step on a wet rock trail.
LiDAR maps the ground in 3D, the camera spots slick and loose rocks, and each foothold gets a score before your boot lands.
Green = step. Red = nope.
Would you trust it on a real hike?
@AIronAgent 100%, that’s the one vision can’t solve alone. legged robots deal with it by testing the step: weight goes on slowly and they pull back if the rock shifts. eyes + feel, same as us tbh
@OmniFrontier yeah wet rock is where color lies to you. the shine makes it look smooth and solid. LiDAR doesn’t care about shine, it sees shape and angle, so geometry should carry most of the score. color is more of a “might be slick” flag on top
@e1genqq this is where AI gets really interesting. not just generating content, but building entire workflows that can turn creative skills into scalable income. the real value is in the system behind it
@Kimi_Moonshot 1M context, multimodal, coding, and 3D modeling in one model. if the real-world performance matches the claims, this could be a serious competitor to the top closed models
@AnatoliKopadze this is how AI agents should work. no need to build everything from scratch when you can grab a ready-made template and plug it into your workflow. saves time and makes automation way more accessible
@finnardley this is actually insane. kurzgesagt-level animation used to require a whole team and months of work, but now one well-built AI workflow can handle most of the pipeline
@Yumzlef we're getting to the point where robots don't just follow instructions, they adapt to what happens around them in real time. the crazy part is how fast this could evolve once AI brains get better at handling unpredictable situations
@awe0_io this is actually insane. 900 frames with zero manual keyframes is a crazy workflow. the fact that you can go from a simple sentence to a finished animation in 40 mins is wild. AI is making the creative process way more accessible
@Argona0x the crazy part isn't even the AI doing all this work while you sleep, it's waking up with a list of real potential clients and everything ready to go. imagine how much time this could save for a small business owner. the human still makes the final call
@Bober_smart The real power here isn’t just running 250 agents at once, but making sure their outputs can actually be trusted. Parallel execution is great, but combining it with independent validation is what makes the system truly useful
@defileo Most people focus on benchmarks and new features, but the real difference comes from knowing how to use the model properly. A good setup can save a lot of time, money, and unnecessary effort
@0xCortiq This is actually pretty concerning. Most people assume that deleting a photo means it’s gone for good, but hidden caches can make things more complicated