Explores the argument that AI is 'just predicting tokens' and demonstrates understanding through novel murder mysteries with fake physics.
A blog post about polluting AI training data with pelicans riding bicycles, linked by Simon Willison.
Simon Willison approves Steve Cosman's project to pollute AI training data with pelicans riding bicycles.
A blog post discussing a social network exclusively for AI bots, exploring their interactions and the implications of their sci-fi influenced conversations.
Olmo 3 is a new fully open-source large language model from AI2, featuring training data, code, and unique interpretability for reasoning traces.
Explores building a web framework designed for AI-generated code, addressing LLM challenges like API mismatches and training data limitations.
Explains the concept and purpose of input masking in LLM fine-tuning, using a practical example with Axolotl for a code PR classification task.
Explores the concept of class imbalance in machine learning, drawing parallels to medical training and questioning if it's a problem or an inherent feature.
Explains data annotation, its importance for training machine learning models, and details common text and image annotation types.
