I want to visualize how large AI models are getting by comparing them to organic brains. I think this could work pretty well as an infographic or video short. We can of course end with a Hinton quote about the control problem.

How you can help

• How should we start the video? What's the best way to grab attention? First seconds matter a lot!
• How should the thumbnail look?
• How do we explain the relation effectively without diving into the details?

Things to explain

• Relation between synapses and parameters.
• Relation between neuron count

List of animal brains

• Jellyfish, 6K neurons,
• Honey bee, 1M neurons, 1B connections https://linkinghub.elsevier.com/retrieve/pii/S1364661300016016
• Frog, 16M neurons,
• Mouse, 70M neurons, 1T connections https://pubmed.ncbi.nlm.nih.gov/16880386/
• Human, 100B neurons, 100T connections

List of models

• ResNet50: Image recognition (for tumors), 25M params, https://datascience.stackexchange.com/questions/73944/number-of-parameters-in-resnet-50 (
• Stable Diffiusion, 900M / 1B parameters (bee level)
• GPT-3, 175B parameters, (FROG LEVEL)
• GPT-4, 1.8T parameters https://the-decoder.com/gpt-4-has-a-trillion-parameters/ (MOUSE LEVEL)