Really appreciated this the way you break down evaluation into something as tangible as a football assist makes it feel accessible and fun rather than abstract.
Your piece also quietly highlights why strong ethical guardrails matter. When technical metrics become the only scoreboard, it’s easy to overlook how these systems might shape decisions or reinforce hidden biases, especially in spaces with weak or lagging regulations.
Your guide feels like a reminder that good engineering should not only focus on performance but also responsibility to the larger game we’re all playing. Thanks for making it so clear and grounded.
Thanks, man, for contributing to Decoding ML. The article is 🔥
Really appreciated this the way you break down evaluation into something as tangible as a football assist makes it feel accessible and fun rather than abstract.
Your piece also quietly highlights why strong ethical guardrails matter. When technical metrics become the only scoreboard, it’s easy to overlook how these systems might shape decisions or reinforce hidden biases, especially in spaces with weak or lagging regulations.
Your guide feels like a reminder that good engineering should not only focus on performance but also responsibility to the larger game we’re all playing. Thanks for making it so clear and grounded.