That said, I believe this is crucial and, if addressed properly, will lay a foundation for future generations to thrive in an increasingly fast-paced world.
@WhiteHouse's new AI education plan raises questions. https://t.co/UgE4hLAvpX
#AI and #LLMs in classrooms seem promising but may mislead students lacking discipline in fact-checking. How will this work? #SciencePolicy#TechFuture
Children lack a foundation to challenge information and are more susceptible to blindly accepting it. I'm eager to see how the new task group will address these challenges.
The backstory is wild.
Musk has been on this crusade for years:
In 2014, he released all Tesla patents, calling them "for the weak."
Dorsey joining the debate has made this explode.
Their radical stance has shocked both Silicon Valley and Wall Street.
I would love to see this applied to satellite and airborne imagery if its not already. Not sure how fast it is but on-demand rendering of specific locations would be pretty cool.
#GenerativeAI#geospatial#aiml
Generative AI is cool and all, but procedural 3D modeling just hits different. Check out this Houdini setup by Pepe Buendia.
Why this is cool: Instead of manually placing every building and car, this system generates an NYC-style city that builds itself -- automatically spawning buildings with unique variations, plus a traffic system where cars actually obey traffic lights and avoid crashing into each other (all orchestrated through houdini VEX code).
Each car knows exactly which road it's on and makes real-time decisions about navigation. The whole thing runs on custom algorithms that handle everything from road directions to building placement.
If you did this with generative AI, even approaches to conditioning and taming the chaos -- you'd still get a ton of variance which might be an issue for visual and spatial consistency.
To me this is procedural modeling at its finest - precise control meets infinite scalability. Immensely useful for media & entertainment, but also synthetic training data for robotics and augmented reality.
I of course can't wait until multimodal LLMs to have the spatial understanding to write these kind of controllable 3D worlds for us. Claude counting 2D pixels on a screen is a step in this direction. Soon they'll be able to manipulate 2D ortho viewports, and eventually spawn procedural 3D worlds.
@bilawalsidhu I loved seeing the advancements here. Similar to how vibe coding has been improving, this saves so much time! I think this is also going to have big implications in the map world as well. I can imagine this being applied to base map using ground and overhead to guide the build.
I’ve been experimenting with troubleshooting and want an insight on some options for fixing issues.
Tips on hard to find easy to fix issues below.
#vibecoding#llm
4. Repeat
It can take some patience’s but converging on a solution I’ve found it’s much faster then allowing it to choose its own context.
Verify then trust!
@petergyang The ruthless testing is a good call out I use that approach a lot. It also gets stuck in solution loops for bug fixing. so my rule is if it flips between the same solution 3 times I bail start new chat with new conditions to solve the issue.