Optimising Computation At The Token-Level
Optimising computation at the token-level
All Notes
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Absurdly Good Doggo Consistency with FLUX.1 Kontext
Experiments with multi-turn character consistent editing
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Learning to Reason without External Rewards
aka Self-Confidence is All You Need
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John Carmack is working on game-playing robots
on John Carmack's Upperbound 25 Talk Notes
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Imagen 4 is faster, but GPT is still the GOAT
a few comparisons of Google's Imagen 4 vs OpenAI's gpt-image-1
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Vibe-Coding Mathematical Discoveries
Using evolutionary algorithms with LLM-coding agents
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NoProp: Training Neural Networks Without Back-Propagation or Forward-Propagation
an alternative training method to backprop that does local layer learning
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Absolute Zero: Reinforced Self-play Reasoning with Zero Data
learn to reason without any human-annotated data.
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Playing Atari with Deep Reinforcement Learning
a classic paper applying neural networks to RL for game playing
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Q-Learning
a reinforcement learning algorithm for finding optimal policies