Reproducibility seems to be headed towards irrelevance in ML research. Is it too late? [D]

Reproducibility is becoming an unattainable goal in machine learning research, according to an unnamed researcher, because many studies now require expensive hardware or entire laboratories with high-speed cameras to conduct experiments, making verification impractical. The trend toward physical AI research is accelerating this decline, leaving the field without a clear path to restore reproducibility.

I feel that reproducibility is now a lost cause in machine learning research for three reasons: Many research is moving towards the physical AI territory, where you need expensive hardwares or even entire laboratories with high-speed cameras, in order to perform an experiment. You truly have no idea