New forward forward algorithm and learning connections

The forward forward algorithm is an attempt to mimic the brain's learning process without using back propagation, which is believed to be incompatible with the brain's synaptic signals. This approach is particularly relevant for understanding how the brain learns its connections. While it's valuable to draw inspiration from human intelligence, it's important to be cautious and focus on essential human behaviors rather than specific cognitive science models. Although there appears to be a strong correlation between being an early adopter of the deep learning revolution and being a top researcher, the speaker attributes their success to continuous effort and perseverance.