Machine Learning: The Great Stagnation - by Mark Saroufim

The bureaucrats are running the asylum

This blog post generated a lot of discussion on Hacker News - many people have reached out to me giving more examples of the stagnation and more examples of projects avoiding it. Maybe I’ll add to this article or maybe I’ll write a new one, let’s see what happens. In the meantime if you can’t wait for me to stop staring at the ceiling and write something new, I’m pretty sure you’ll enjoy my e-book robotoverlordmanual.com Academics think of themselves as trailblazers, explorers - seekers of the truth. Any fundamental discovery involves a significant degree of risk. If an idea is guaranteed…

related reading

• Machine Learning: The Great Stagnationmarksaroufim.substack.com
• An Opinionated Guide to ML Researchjoschu.net
• A Bird's Eye View of the ML Field [Pragmatic AI Safety #2] — AI Alignment Forumalignmentforum.org
• The machines are fine. I'm worried about us.ergosphere.blog
• How Life Sciences Actually Work: Findings of a Year-Long Investigation - Alexey Guzeyguzey.com
• A Bird's Eye View of the ML Field [Pragmatic AI Safety #2] — LessWronglesswrong.com
• Zen and the Art of Machine Learning Researchblog.jxmo.io
• Why I chose OpenAI over academia: reflections on the CS academic and industry job markets (part 2) - Rowan Zellers' blogrowanzellers.com
• Just know stuff. (Or, how to achieve success in a machine learning PhD.) · Patrick Kidgerkidger.site
• In Trading, Machine Learning Benchmarks Don’t Track What You Care Abouthudsonrivertrading.com
• Why did Google Brain exist?moderndescartes.com
• How Life Sciences Actually Work: Findings of a Year-Long Investigation - Alexey Guzeycurius.app