It’s all models, data, simulations, predictions, trial & error, optimization. The methods, hardware, data — they are changing and improving, but most of what we see is a technology & method adapted and applied to interesting problems. It’s a creative spark and we still direct it.
-
-
-
I’ve learned enough to destabilize the fearful narrative, but ultimately we will reap what we sow. We can try to find optimizations of bad objectives and waste energy/delude ourselves. We can use bad data. We can build models that are too big to comprehend individually.
- 2 more replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
