Neurons to Pixels to Intelligence
[Style: classical] [Vocalist: male] [60-100 BPM] "All or nothing, all or nothing Threshold reached at minus fifty-five millivolts" "Dendrites gather signals, dendrites gather signals Excitatory, inhibitory Weighted sum determines fire or silence" "Layer two-three connects, layer two-three connects To layer five pyramidal Feed-forward, feed-back Parallel processing millions" "Cells that fire together, cells that fire together Wire together, wire together Synaptic plasticity Long-term potentiation" [Vocalist: female] [Precise 4/4 time ] [Instrument: piano] "Binary threshold function, binary threshold function Zero or one, zero or one Weighted inputs summed Step function output" "Matrix multiplication, matrix multiplication Weights times inputs Bias term added Mathematical neurons" [Vocalist: bass] [Style: dark] "XOR cannot be learned, XOR cannot be learned Minsky shows the proof Linear separability Single layer fails" "Funding disappears, funding disappears Neural nets abandoned Expert systems rise Symbolic AI rules" [Style: precision, arpeggio] "Stimulus response, stimulus response Reward and punishment Conditioning shapes behavior Reinforcement learning" "Agent in environment, agent in environment State, action, reward Policy gradient, policy gradient Q-function approximation" "Error in prediction, error in prediction Update the value function TD-lambda, TD-lambda Bootstrap the future" "Backpropagation discovered, backpropagation discovered Rumelhart, Hinton, Williams Gradient descent through layers Chain rule derivatives" [Instrument: synthesizer] "Render the polygons, render the polygons Millions of vertices Real-time frame rates Parallel computation" "SIMD processors, SIMD processors Single instruction, multiple data Thousands of cores running Matrix operations massively parallel" "General purpose GPU, general purpose GPU Not just graphics anymore Scientific computing Neural network training" "Memory throughput, memory throughput Hundreds of gigabytes per second Feed the hungry processors Gradient calculations accelerated" [Chorus] [Polyrhythmic] [Instrument: Full electronic orchestra] "Eight layers deep, eight layers deep Convolutional neural network ImageNet error rate Cut in half by GPU training" "More data, bigger models, more data, bigger models More compute, better performance Power law scaling Emergence at scale" "Self-attention mechanism, self-attention mechanism Query, key, value matrices Parallel processing of sequences No recurrence required" "GPT, BERT, T5 Vision transformers Multimodal learning Few-shot capabilities" [Crescendo] "RLHF alignment, RLHF alignment Human preferences captured Reward modeling Constitutional AI" "Vision, language, code Audio, robotics, chemistry Unified representations Emergent capabilities" [Full chorus] [Style: epic] "From Hodgkin-Huxley equations To McCulloch-Pitts neurons From Pavlovian conditioning To policy gradient methods From Quake and Doom rendering To CUDA parallel computing From biological inspiration To artificial intelligence Neurons fire, pixels render Gradients flow, models learn Biology meets psychology Gaming meets mathematics The brain's electrical patterns Become silicon computations Four fields converging Into artificial minds"
