[aubanel]

> Generalist scaling is stalling. This was the whole message behind the release of GPT-4.5: capacities are growing linearly while compute costs are on a geometric curve. Even with all the efficiency gains in training and infrastructure of the past two years, OpenAI can't deploy this giant model with a remotely affordable pricing.

Hard disagree. 1. "Capacities are growing linearly while compute costs are on a geometric curve" is the very definition of scaling. GPT4.5 continuing this trend is the opposite of stalling: it's the proof that scaling continues to work 2. "OpenAI can't deploy this giant model with a remotely affordable pricing" WTF? Gpt-4.5 has the same price per token than GPT-4 at release. It seems high compared to other models, but is still dirt cheap compared to human labor. And this model's increased quality means it is the only viable option for some tasks. I have needed proofreading for my book: o1 or o3-mini were not up to the task, but gpt-4.5 really helps. GPT-4.5 is also a leap forward on agentic capabilities. So of course I'll pay for this, it saves me hours by enabling new use-cases