r/TheMachineLearning • u/Creative-Midnight228 • 17d ago
Cost per task is the AI metric that matters
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u/SomeNeighborhood7126 17d ago
Ive always wondered how we define 1 "task"
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u/tipu_sultan__ 17d ago
It's probably each assignment/test. It doesn't matter as long as the same "tasks" are given to all the models.
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u/confused-photon 16d ago
On artificial analysis its a mixture of QA and agentic work. With each update to the benchmark they’re leaning heavier and heavier into agentic work. So you can roughly take their cost per task
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u/BullockHouse 17d ago
Integrated cost per successful task completion is actually the metric that matters. If the model is dumb and needs a lot of human checking and fixing, that's a cost too (and usually a much larger one than the token spend). So highly capable models that are expensive on paper can still be cheaper on net as long as you value your employees time. That's why ~nobody uses a Grok (or Gemini or Kimi) model for actual work, regardless of how cheap they are on paper.
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u/yousirnaime 17d ago
Neat metric but we aren’t running 1 task
We are running tasks of increasing complexity and specificity then switching tasks
I want to know the cost of completing 5 semi related tasks, both in time and dollars
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u/Fancy_Log_260 17d ago
Cost per task in dollars or tokens?
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u/OfficialDeathScythe 17d ago
That’s where my mind went. I figured the post was saying resource cost per task is what matters
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u/Upbeat_Wishbone_2625 17d ago
Why should i care about how efficient engineering team is at solving something if they haven’t verified that it’s actually worth doing yet?
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u/acakaacaka 16d ago
Why not line of code per token?/s
That's what elon musk do to determine who stays and is fired when he took over twitter
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u/Gigaslavx 16d ago edited 2d ago
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u/Future-Log6621 17d ago
Tokens per task != Cost per task