Sublime
An inspiration engine for ideas
The size and sophistication of these models make it impossible to fully understand how they make predictions. They have billions of weights that interact in subtle ways to make a final prediction; looking at them is like hoping to understand psychology by examining individual brain cells. Even in academic settings with well-established models, the ... See more
future.com • How Recommendation Algorithms Actually Work | Future - https://future.com/forget-open-source-algorithms-focus-on-experiments-instead
peers. I saw how these network-based approaches wielded collaboration to create outsized impacts, and I was blown away.
David Ehrlichman • Impact Networks: Create Connection, Spark Collaboration, and Catalyze Systemic Change
intro library science
D. T. Max • Every Love Story Is a Ghost Story: A Life of David Foster Wallace
Somewhat related side note: i believe this paper will heavily influence future of search
Sina Meraji • Search engines’ carrying capacity
They can also learn on more than one network
Pedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Moreover, with the rise of machine learning and artificial neural networks, more and more algorithms
Yuval Noah Harari • Homo Deus
But the public provides the data under the assumption that we, the public, benefit from it.
DJ Patil • Ethics and Data Science
Expertise isn’t going anywhere: we’re just finding new ways to measure and signal it.