Sir Demis Hassabis CBE FRS is a British AI researcher, neuroscientist, chess prodigy, and game designer who co-founded DeepMind in 2011 and serves as CEO of Google DeepMind. He won the 2024 Nobel Prize in Chemistry for AlphaFold's protein structure prediction, was knighted for services to AI, and is widely regarded as one of the most influential figures in the development of artificial general intelligence.
Alberto Romero is a Spanish AI analyst, writer, and newsletter author behind The Algorithmic Bridge, a Substack publication with 40,000+ subscribers. A former machine learning engineer turned independent journalist, he brings an unusual fusion of aerospace engineering, cognitive neuroscience, and ML expertise to bear on the most pressing questions in AI - with a commitment to honesty, no ads, and no sponsors. He is also an analyst at CambrianAI Research, focusing on large language models and AI hardware/software.
Azalia Mirhoseini is an Iranian-born AI researcher, Stanford professor, and co-founder of Ricursive Intelligence - a frontier AI lab valued at $4 billion that uses AI to design better chips, which in turn train stronger AI. Best known for AlphaChip, the deep reinforcement learning system that now designs Google's TPUs and has compressed chip floorplanning from months to hours, she also co-invented the Mixture-of-Experts architecture underpinning GPT, Claude, and Gemini. With 20,000+ citations and a $335M-funded startup launched in under four months, she is closing the recursive loop between artificial intelligence and the hardware it runs on.
Maarten Grootendorst is a psychologist-turned-ML engineer at Google DeepMind, best known for creating BERTopic, KeyBERT, and PolyFuzz - open-source NLP tools with over 15 million combined downloads. Co-author of the Amazon #1 bestseller 'Hands-On Large Language Models' (O'Reilly, 2024) with Jay Alammar, he runs the 'Exploring Language Models' newsletter with 2M+ views and has taught 50,000+ students on DeepLearning.AI. His work bridges the worlds of psychology and AI, making complex language model internals accessible through strikingly visual guides.