Gdpval: Measuring the Performance of Our Models on Real-World Tasks
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OpenAI introduces GDPVal, a framework for measuring AI model performance on real-world economically viable tasks, sparking discussion on the methodology and comparison with other models.
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GDP? GlobalGoals ... The Sustainable Development Goals (SDGs) include 17 goals, 169 targets, and over 230 indicators.
For strategic alignment,
Strategic alignment: https://en.wikipedia.org/wiki/Strategic_alignment
Sustainable Development Goals: https://en.wikipedia.org/wiki/Sustainable_Development_Goals
To produce the SDGs, IIUC they clustered the world's problems as an international collaborative exercise; to succeed the MDGs (2000-2015).
Each country voluntarily produces an annual SDG report on their progress on their Targets according to the Indicators.
IMHO, Priorities should include clean energy and AI efficiency, given the growth projections for energy use of AI (and our electrical bills given continued expected supply shortages of energy)
Which real-word SDG tasks can be AI eval'd?
Or did it just do the job as prompted and not mention suggestions for continuous improvement like reusing tested open source components?