"It may actually be more affordable to build some kinds of high cost-per-kg structures (e.g. datacenters..."
There is a company called Starcloud attempting to do exactly this (recently they launched their first H100). A lot of critics say the heat dissipation through radiation is an issue (radiation is the least effective form of thermal transfer), so their core IP is essentially giant expandable heatsinks.
Benefits:
Cons:
Probably just marking up gpt 4o API costs? gpt 4o costs $2.50/M input and $10/M output tokens, assuming 10k in and 10k out per hour that's 0.125/hour. Maybe double or triple that for tool calls but there's no way it should be 0.07/minute. I guess they also charge for infrastructure like servers to run tools and orchestrate everything and connect to phones.
That is a great point. I don't think I have too much data on this or know where to find it publicly (tips/intros to voice AI people would be appreciated!). I spoke to an early engineer at a voice agent company that helps medical providers call big insurers to claim insurance. A big problem they had was optimizing the AI to not be too friendly and random ("how was your weekend"==tokens set on fire) but also not be overly terse and impolite. Funnily enough, on the insurer's side they also use AI to detect and ban AI callers (so I guess this helps them efficiently deny claims?).
One Battle After Another stars Leonardo DiCaprio as a washed revolutionary, drunk single father who raises a daughter and fights neonazis. The mom is in Mexico though.