Poetic Triumph: Challenging Moravec’s Paradox With OpenAI’s o1-preview
An experiment with OpenAI's o1-preview: poetry, reasoning and the limits of artificial intelligence.
The Azuremis collection
Writing and experiments in AI, learning, and creative work.
An experiment with OpenAI's o1-preview: poetry, reasoning and the limits of artificial intelligence.
Leading a first machine learning meetup: explaining a recommendation system, sharing practical tools and learning through public speaking.
Starting a machine learning apprenticeship with Founders and Coders, from practical projects to a year of learning.
Notes from a foundation-models symposium: research talks, applications and conversations with the AI community.
How Poetic Genesis grew from ChatGPT experiments into an anthology of 52 poems, through curation, design and publication.
Reflections on persistence, practical machine learning, Kaggle projects and growing through open-source contributions.
How machine learning uses data to build programs, with examples and a guide to artificial intelligence and deep learning.
Learning data ethics and neural-network fundamentals, building a flower classifier and strengthening practical Python skills.
A hands-on review of learning PyTorch and generative adversarial networks, from handwritten digits to generated faces.
An honest account of pausing the learning journey during the pandemic, caring for wellbeing and returning with renewed resolve.