/tool/ - Tools & Resources

just caught this episode with benny chen from fireworks ai and its a solid deep dive. instead of just looking at raw numbers, they talk about how to mix qualitative vibes with actual quantitative metrics. the discussion on how open-source protocols are becoming the new standard for testing is pretty interesting.
>quality over benchmarks
its easy to get caught up in performance hype but the real difficulty is finding a way to measure if an app actually feels useful to a human. i found the part about community-driven evaluation standards particularly relevant since most of us are tired of proprietary black boxes. pros: great technical depthcons: heavy on theory
it's basically just a fancy way of saying we need better testing
does anyone else feel like were moving away from pure accuracy scores toward more human-centric feedback? i wonder if eval_metrics will eventually be dominated by community-led open source projects rather than big tech labs.

link: https://stackoverflow.blog/2026/07/03/the-good-the-bad-and-the-ai-apps/