AI is solving science's biggest problems — but has no idea why it's right | with Claire Malone

Thank you :face-blue-smiling: learnt so much

What an amazing woman! Such an inspiration and a excellent lecture ( packed with information) z❤❤🎉🎉🎉

The concern isn’t AI in science, but what counts as “understanding” once we rely on it. Strong at pattern generation, weak at causal grounding — and that gap becomes critical when outputs start looking like discoveries.

Soy millonario y estoy tomando mate desde un puesto de guardia de seguridad en el puerto de Montevideo 🇺🇾⌛⏳,millonario porque tengo una familia y porque puedo comprender absolutamente todo lo explicado por esta gran científica 👏 rico de poder estar presenciando el principio y el fin de un momento dorado de la creatividad humana. A principios de siglo xx con el cine ,la música y la ciencia y hoy con el final del ingenio humano..son muy pocas las historias que quedan por contar, las hemos contado todas, desde ahora solo vamos a querer borrar memoria para poder vivir nuevamente como si nunca lo hubiéramos sabido..muere de a poco los hábitos,la familia, los rituales..nacen todas las respuestas a todo..
Quizás la muerte sea un privilegio en este punto..prefiero morir que vivir eternamente en una computadora..es como poner un cd de Mario bros y que Mario busque cada vez y en cada inicio la misma meta y con el mismo entusiasmo pasar cada pantalla..

I love Artificial Intelligence. It's an incredibly useful tool.

Thanks. 🌞

@3:43 thank you

42

Thanks for this presentation!

Love you

AI is currently like the first ENIAC. In some time, 5, 10 or 20 years from now, it may approach perfection. Continuing is necessary.

Como eu escuto ela falar? Como ela fala? É gravado? Estou repassando para todos que conheço.

Thank you, Claire!

Wow, girl!!!!!!!!! Fantastic!!!!

38:06 Smoothing the curve for aesthetic appeal is the most AI thing ever :D

Excellent talk, thank you very much Claire :)

Excellent and inspiring in every way!

Great tips, thanks for sharing!

Thank you for useful information!

💬 Claire ends this talk with a question from statistician George Box: "All models are wrong, but some are useful."
AI is already finding protein structures, spotting anomalies at CERN, and designing experiments faster than any human researcher. But as Claire argues, it still can't tell you why a result is true, or which discovery is actually worth pursuing.
So where do you stand?
Let us know below 👇