Machine Learning: The Great Stagnation
marksaroufim.substack.com · 3,189 words · saved by 1 readers
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
- The machines are fine. I'm worried about us.ergosphere.blog
- A Recipe for Training Neural Networkskarpathy.github.io
- How to Land a Frontier Lab Jobvladfeinberg.com
- A Recipe for Training Neural Networkskarpathy.github.io
- Thoughts on AI in academiatheinfinitesimal.substack.com
- The AI research job market shit show (and my experience)interconnects.ai
- machine learning imindslice.substack.com
- Scaling is subtler than it seemsberen.io
- The Eternal Sloptember | the singularity is nearergeohot.github.io
- Non_Interactive – Software & MLnonint.com