How AI Coding Is Breaking Synthetic Data Generation

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

How AI Coding Agents Are Fundamentally Changing Software Engineering Practices

The author shares their experience building a product from the ground up using frontier AI models and coding agents, noting a dramatic shift

The Growing Problem of AI Model Collapse from Synthetic Data Training

The article discusses the emerging problem of 'model collapse' in AI systems, where models trained on synthetic data generated by other AI m

Measuring What Matters with Jules

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Disposable Code, Durable Side Effects