rock music
AI models flub these intelligence tests. Can you fare any better?
That's a major factor in how well models do on the most famous puzzle-based benchmark, ARC-AGI. These problems require you to infer abstract, general rules from a set of examples. Models do better on ARC puzzles when they receive each grid not as an image but as a string of numbers that encodes the color of each cell. Research suggests that even when models answer ARC-AGI questions correctly, they often do so using byzantine and non-generalizable rules, whereas humans draw on simple visual concepts. Despite these disadvantages, models have gotten quite good at ARC-AGI over the past year, but some puzzles--such as the one printed here--still stump them.
7 Artists for the AI Generation
David Hockney, one of the world's most famous living artists, is also a proponent of digital art. Hockney would argue significant technological advances occurred in the 15th Century with the arrival of optical devices. Centring around the mid 15th Century a radical transformation in the visual quality of painting happened. What we would call photorealistic today replaced the stylised rendering of the likes of Giotto. An understanding of optics and lenses gave artists a new way to capture the reality that the eye could see.
Insights from History of Rock Music via Machine Learning
Ali Kheyrollahi is a solution architect building web scale solutions, trying to marry scalability with performance. He loves HTTP, API design and business-modelling DDD-style. An Open Source author and blogger, he tries to give back to the community what he has gratefully taken from it. He is a blogger and has co-authored a book. "BUILD STUFF" is a Software Development Conference for people who actually build stuff.