The rising costs of training frontier AI models · HackerPapers discussions

The rising costs of training frontier AI models — mentioned by windexh8er

Sun, 27 Sep 2026 04:07:28 GMT

There's two things here: 1) you clearly don't understand the argument and 2) LLMs are one of the few technologies that doesn't get any cheaper as it scales (totality, not just the cherry picked inference efficiency argument you've tried to make). In fact it gets more expensive because it scales linearly with demand and resources aren't infinite, as I'd hope you could understand. Also, training costs are never ending so a model that costs 10s of millions of dollars may never yield a profit based on the hardware spend, training time and lack of inference profits before a better model hits the…

Paper and discussion history. A mention is not an endorsement.

The rising costs of training frontier AI models — mentioned by happy_dog1

Sun, 18 Jan 2026 16:42:11 GMT

I think we have to be careful when assuming that model capabilities will continue to grow at the same rate they have grown in recent years. It is very well-documented their growth in recent years has been accompanied by an exponential increase in the cost of building these models, see for example (of many examples) [1]. These costs include not just the cost of GPUs but also the cost for reinforcement learning from human feedback (RLHF), which is not cheap either -- there is a reason that SurgeAI has over $1 billion in annual revenue (and ScaleAI was doing quite well before they were purchased…

Paper and discussion history. A mention is not an endorsement.

The rising costs of training frontier AI models — HN submission

Mon, 03 Jun 2024 11:35:21 GMT

The Rising Costs of Training Frontier AI Models

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.