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Noam Shazeer co-authored “Attention Is All You Need,” built Mesh-TensorFlow and SwiGLU, founded Character.AI, and returned to co-lead Gemini. Across those systems, his operating focus remains computational efficiency and scaling models people genuinely want to use.
Paul Saffo, technology forecaster and Stanford adjunct professor, maps the social effects of technological change. His “strong opinions, weakly held” framework accompanies a longer view of the decades separating invention from meaningful adoption in everyday life.
Percy Liang, a Stanford computer science professor and Together AI co-founder, defined foundation models and built HELM to evaluate them, advancing transparent, open-source infrastructure while probing language understanding, evaluation systems, and the limits of machine reasoning.
Regina Barzilay, an MIT computer scientist, redirected her research after breast cancer from natural language processing to healthcare, building models that detect cancer years earlier and discover new antibiotic classes while confronting medicine’s broken data infrastructure.
Richard Hamming, a Bell Labs mathematician and inventor of error-correcting codes, asked why some brilliant people produce historically important work while equally smart peers do not, turning the question into a guide to choosing and solving consequential problems.
Russell Ackoff, an operations researcher and systems thinker, argued that organizations fail when they isolate problems and parts, overlooking the interactions that define a system, create institutional “messes,” and let bureaucracies undermine their stated goals.
Sara Hendren, a design researcher, artist, and professor, uses disability to examine friction between bodies and the physical world, exposing hidden biases in built environments and reframing accessibility around the ways people depend on one another.
Sebastian Thrun, who led Stanford’s winning DARPA Grand Challenge team, founded Google X, and launched Udacity, pushes autonomous systems into active use while studying how massive engineering bets can augment human capability and scale technical education.