[baq]

It is if you want good results. I’ve been giving Gemini pro prompts for 200+ seconds multiple times per day this week and for such tasks I really like to make it double/triple check and sometimes give the results to Claude for review, too (and vice versa).

Ideally I can just run the prompt 100x and have it pick the best solution later. That’s prohibitively expensive and a waste of time today.

[diggan]

> That’s prohibitively expensive

Assuming you experience is working within enterprise, you're then saying that cost is the biggest bottleneck currently?

Also surprising to me that enterprises would use out-of-the-box models like that, I was expecting at least fine-tuned models be used most of the time, for very specific tasks/contexts, but maybe that's way optimistic.

[threeseed]

Cost is irrelevant when compared to the salaries of the people using them so they will do basic cost controls but nothing too onerous. And cost is never a reason to prevent solutions being built and deployed.

And most enterprises aren't even doing anything advanced with AI. Just doing POCs with chat bots (again) which will likely fail (again). Or trying to do enterprise search engines which are pointless because most content is isolated per team. Or a few OCR projects which is pretty boring and underwhelming.

[baq]

Cost would be the biggest factor if price per token was the same but tokens were arriving 100x faster. (Not particularly unexpected I’d say.)

[tiffanyh]

How do you create a prompt for Gemini to spend 200 seconds and review multiple times.

Is it as simple as stating in the prompt:

  Spend 200+ seconds and review multiple times <question/task>

[baq]

You give it a task from hell which the devil himself outsources, like ‘figure out how these fifty repositories of yaml blobs, jinja templates and code generating code generating hcl generating yaml interact to define the infrastructure, then add something to it with correct iams, then make a matching blob of yaml pipelines to work with that infrastructure’