www.science.org/doi/10.1126/... This paper is such a smart summary of many relevant thoughts and a really nice read. Topics include - an intro to functional computationalism - the concept of gradual consciousness, also popularized by Hofstadter ..

Are we underestimating LLMs? 🤔 @shortcause.bsky.social's new article dives into why LLMs are more than just "next-word predictors," exploring evidence for creativity, internal world models, and even emotional associations. It's time to challenge our assumptions about AI intelligence.

LLMs are often dismissed in everyday conversations for reasons that simply aren't true. Just a word predictor? No understanding, creativity, emotion, consciousness; if you ever heard or used these, my newest article is for you. towardsdatascience.com/are-you-bein... @towardsdatascience.com

My new article explores a topic I had only hinted at in the previous one: Applying OpenEvolve for text generation, that continuously evolves and follows different ideation paths. @towardsdatascience.com

What if content generation wasn’t a single prompt, but an evolutionary process? @shortcause.bsky.social's new article shows how to continuously improve non-code text using OpenEvolve, with LLMs acting as both creators and critics.

Want to build AI that intelligently refines code? Julian Mendel's guide explores AlphaEvolve's core concepts and walks you through setting up OpenEvolve to experiment with evolutionary algorithms for program optimization.

My first TDS article just got published: "Google’s AlphaEvolve: Getting Started with Evolutionary Coding Agents" towardsdatascience.com/googles-alph... @towardsdatascience.com

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