I don't think their scientific claims are all that inaccurate, maybe some stuff is simplified but that's inevitable. To my understanding, the issue is more conv

I don't think their scientific claims are all that inaccurate, maybe some stuff is simplified but that's inevitable. To my understanding, the issue is more converting that advanced scientific knowledge into something tangible. Can I build a Google photos competitor using spiking neural nets for content recognition? Can i train GPT-4 with 50% of the power bill of GPT-3? Can i dare hope for better accuracy or robustness for some production task? Or better compressed nets for edge computing? I'm not seeing anything like that. We've known a long time that ANNs as implemented today are very crude compared to biological neurons; they really just share a name. What's supposed to differentiate a company from a lab is taking that insight and doing something concrete with it.