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PaperclipPerfector  2d ago (text post)   7524 thread views

Culture War Roundup for the week of May 11, 2026

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How are you using it? I'm currently somewhat constrained by limits in my startup - I tend to stick to the quotas provided by my various $20 services, so I get the models to do specific constrained tasks using up to 100k tokens, write what they did to a new log, and spin up a new instance.

I can make a case for massively increasing our AI budget if using 100x the tokens would have a genuine effect, but my impression so far is that Claude tends to get out of control and go up the garden path when you let it think too much. I'd be very interested if you're getting better results by just letting 'er rip, how you're doing it, and on what kinds of problems?

I mean aggregated across multiple models. I don't use Claude much anymore (only occasionally API via OpenRouter) and don't think their offer is economically viable. Now, GPT 5.5 is the orchestrator, DeepSeek V4 Pro/Flash is the workhorse. Their 1M context and new prices, especially context caching, make long agentic projects basically free. Cache persists for a whole day too, so speed is of no issue if the top-level plan is reasonable.

Echoing Corvos' question

I'm currently on the $200 OpenAI pro plan due to my thirst for tokens but I'm about to drop to the $100 plan and I'm barely even using 5.5 at this point as I'm largely having AI do non-coding activities for me now so I can get away with way cheaper models for "summarize all my to-do notes for today and file them" so having deepseek do my filesystem work would be nice (but I love the codex app)

I see, thank you. Are you physically organising this yourself, or do you use a program where GPT can spin up Deepseek agents to do the heavy lifting automatically? What harness do you use?

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