AIThe case for prioritizing benchmarks when building AI products
One post recommends spending more than 25% of AI product-building time creating benchmarks and trying to get model labs to care about them.
TLDR
For people building AI products, one post argues that making benchmarks and pushing for model labs to care about them is the easiest path to accelerating a company's progress. It recommends devoting more than 25% of their time to those efforts.
The case for prioritizing benchmarks when building AI products
One post recommends spending more than 25% of AI product-building time creating benchmarks and trying to get model labs to care about them.
TLDR
For people building AI products, one post argues that making benchmarks and pushing for model labs to care about them is the easiest path to accelerating a company's progress. It recommends devoting more than 25% of their time to those efforts.