cantor_S_drug
Joined 1 year ago
Joined 1 year ago
https://www.youtube.com/watch?v=l-OLgbdZ3kk
In this video we explore Predictive Coding – a biologically plausible alternative to the backpropagation algorithm, deriving it from first principles.
Predictive coding and Hebbian learning are interconnected learning mechanisms where Hebbian learning rules are used to implement the brain's predictive coding framework. Predictive coding models the brain as a hierarchical system that minimizes prediction errors by sending top-down predictions and bottom-up error signals, while Hebbian learning, often simplified as "neurons that fire together, wire together," provides a biologically plausible way to update the network's weights to improve predictions over time.
https://x.com/a16z/status/1986486508355002584
Priscilla Chan and Mark Zuckerberg on Curing All Disease
We sat down with Dr. Priscilla Chan and Mark Zuckerberg, co-founders of the Chan Zuckerberg Initiative, to discuss their ambitious plan to cure, prevent, and manage all disease by the end of the century.
This is a use of Rerun that I haven't seen before!
This is pretty fascinating!!!
Typically people use Rerun to visualize robotics data - if I'm following along correctly... what's fascinating here is that Adam for his master's thesis is using Rerun to visualize Agent (like ... software / LLM Agent) state.
Interesting use of Rerun!
Is this useful for you?
To answer you directly, a smaller SOTA reasoning model with a table of facts can rederive relationships given more time than a bigger model which encoded those relationships implicitly.