Sublime
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Deep-learning pioneers like Geoffrey Hinton, Yann LeCun, and Yoshua Bengio—the Enrico Fermis of AI—continue to push the boundaries of artificial
Kai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
LeCun points to four essential characteristics of human intelligence that current AI systems, including LLMs, can’t replicate: reasoning, planning, persistent memory, and understanding the physical world. He stresses that LLMs’ reliance on textual data severely limits their understanding of reality: “We’re easily fooled into thinking they are intel... See more
Azeem Azhar • 🧠 AI’s $100bn question: The scaling ceiling
With all the challenges in ethics and computation, and the knowledge needed from fields like linguistics, psychology, anthropology, and neuroscience, and not just mathematics and computer science, it will take a village to raise to an AI.
Gary Marcus • Deep Learning Is Hitting a Wall
A technique called backpropagation then adjusts the weights to improve the neural network; when an error is spotted, adjustments propagate back through the network to help correct it in the future. Keep doing this, modifying the weights again and again, and you gradually improve the performance of the neural network so that eventually it’s able to
... See moreMustafa Suleyman • The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
deep learning, is fabulous at
Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
Deep learning, which is fundamentally a technique for recognizing patterns, is at its best when all we need are rough-ready results, where stakes are low and perfect results optional.