This is correct. Out of the $80.7B loss, $72.4B was due to changes in the fair value of their convertible notes (and similar financial arrangements).
Going a bit meta, I'm curious why we don't observe a faster convergence of opinions here. I assume that HN users are well-versed in AI tech, and the current generation of LLMs will happily break down the relevant information in Form S-1. Nevertheless, we see a chaotic storm of opinions, with wildly varying S/N ratios.
Is it a limit of current LLMs, or is the bottleneck perhaps human nature?
Going a bit meta, I'm curious why we don't observe a faster convergence of opinions here. I assume that HN users are well-versed in AI tech, and the current generation of LLMs will happily break down the relevant information in Form S-1. Nevertheless, we see a chaotic storm of opinions, with wildly varying S/N ratios.
Is it a limit of current LLMs, or is the bottleneck perhaps human nature?