How does bee learning compare with machine learning? — LessWrong
lesswrong.com · 9,490 words · saved by 1 readers
This is a write-up of work I did as an Open Philanthropy intern. However, the conclusions don't necessarily reflect Open Phil's institutional view. …
x How does bee learning compare with machine learning? — LessWrong AI Frontpage 65 How does bee learning compare with machine learning? by leni 4th Mar 2021 AI Alignment Forum 29 min read 15 65 Ω 21 This is a write-up of work I did as an Open Philanthropy intern. However, the conclusions don't necessarily reflect Open Phil's institutional view. Abstract This post investigates the biological anchor framework for thinking about AI timelines, as espoused by Ajeya Cotra in her draft report . The basic claim of this framework is that we should base our estimates of the compute required to run a tra
saved by
related reading
- The honeybee as a model for understanding the basis of cognitionbcp.fu-berlin.de
- Andrej Karpathy — AGI is still a decade awaydwarkesh.com
- Teachable Machineteachablemachine.withgoogle.com
- MAI-Thinking-1: Building a Hill-Climbing Machinemicrosoft.ai
- Non_Interactive – Software & MLnonint.com
- Why even a moth’s brain is smarter than an AI | MIT Technology Reviewtechnologyreview.com
- Forecasting transformative AI: the "biological anchors" method in a nutshellcold-takes.com
- Building machines that learn and think like people | Behavioral and Brain Sciences | Cambridge Corecambridge.org
- Fermi estimate of future training runsdanieldewey.net
- Spending Inference Time - Kevin Lukevinlu.ai
- AlgZoo: uninterpreted models with fewer than 1,500 parameters — LessWronglesswrong.com
- MAI-Thinking-1: Building a Hill-Climbing Machinemicrosoft.ai