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ramigb • today at 10:26 AM • 3 replies • view on HN

I swear I have the same question in my head always when I read such statements! I have never once reached 90% that includes everyday usage across multiple repos, artefact generation, device debugging, long running harness work!

I am not saying OP is not telling the truth. I just really want to understand!


Replies

dgacmu • today at 12:05 PM

I decided to try something a little weird research wise the other day analyzing about a thousand older research papers and burned through my $100 chatgpt sub + 3 resets in three hours and only finished half of them. It's the first time I've done that, though.

MisterMunchkin • today at 1:00 PM

It’s because they don’t know what they’re doing. It’s like when openAI was using 10,000 agent clusters to solve problems… then realised the model could do the same work on its own and solve the same problem.

Anyone who tells you they have a “team of subagents” and “code reviewer” agents and “project manager” agents doesn’t know what they are doing. That’s how they burn thousands of dollars in a day.

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pheggs • today at 10:36 AM

in my experience there's a huge difference in token usage when creating new projects versus working on existing ones