[jgord]

I feel the same frustration, seen from another angle : I think we can use current ML techniques to solve 3 or 4 hard problems in 3D reconstruction, and doing so would unlock a vast amount of value - we could turn lidar scans and photos of buildings and industrial plants into accurate 3D models automatically.

BUT I think the bottleneck is _funding_ of small early risky startups to do the needed engineering work.

My notes on this : https://quantblog.wordpress.com/2025/10/29/digital-twins-the...

LLMs, GPU datacenters attract all the big money, and the med and small VCs seem to be leaving their money in the bank earning high interest rates, unless there is a slam dunk opportunity with guaranteed traction and MRR growth.

We seem to be betting that only the large companies will innovate, when historically this has not been the case - Deepseek is a recent counterexample.