I don't think the narrative makes sense. It was clear from way back in 2016 that training would take a ton of resources. Researchers were already been sucked into FAANG labs because they had the data, the compute, and the money. There was never a viable way for a true non-profit to make world-changing, deep learning-based AI models.
When seen through the rearview mirror, the whole narrative screams of self-importance and duplicity. GPT-2 was too dangerous, and only they were trust-worthy enough to possess. They were trust-worthy because this was a non-profit, so "interest aligned with humanity". This charade has continued even to barely some months ago.
When seen through the rearview mirror, the whole narrative screams of self-importance and duplicity. GPT-2 was too dangerous, and only they were trust-worthy enough to possess. They were trust-worthy because this was a non-profit, so "interest aligned with humanity". This charade has continued even to barely some months ago.