@berttemme Yeah, that’s what I meant by ‘far from origin’. Here’s how I tried to communicate it visually before Cesium was available in the game engines https://t.co/dIAi15kXxx
@berttemme Ah, I can see it’s the instances jumping around, not the model vertices. Most of my work has been with the Unreal plugin and haven’t yet had reason to work with ECEF coordinates.
@sama It does not however follow that ‘remixes of things that happened in the past, plus epsilon and times the quality of the feedback loop and the number of iterations’ would be creative 🤷♂️
@thejaymo I guess that’s what you’re left with when your desperately trying to reposition your investment against Meta’s. Slim pickings all around. The technology is compelling despite the price. Someone will do something interesting with it. And someone else will do something awful 😬
@dinomirMT@DatastoriesMU The full model is 3.5m wide by 2m tall representing 28sq km (7km x 4km). The model was printed in much smaller sections which were then glued together to form 6 larger panels. I believe that the original prints were made with the Builder Extreme 1500 Pro.
@Alber_RomGar I was going to say GPTChat definitely can’t ride a bike outside…but then I thought, what if I rigged a Raspberry PI to ride a bike and had a CV classifier describe the road ahead 🤔🤖🚲
@Alber_RomGar I’d suggest either knowledge is the wrong word (after all the learning in ML is probably a misnomer), or else we need to ask what sort of ‘experience’ ChatGPT could be said to have of language?
@Alber_RomGar I’d almost be inclined to flip that and suggest the only knowledge ChatGPT has is tacit. It doesn’t explicitly know what words mean. If it knows anything it is based on what patterns of relations words have in the training material, regardless of what they actually mean.