Hacker News with Generative AI: Myths

Are polynomial features the root of all evil? (2024) (alexshtf.github.io)
It turns out that it’s just a MYTH. There’s nothing inherently wrong with high degree polynomials, and in contrast to what is typically taught, high degree polynomials are easily controlled using standard ML tools, like regularization. The source of the myth stems mainly from two misconceptions about polynomials that we will explore here. In fact, not only they are great non-linear features, certain representations also provide us with powerful control over the shape of the function we wish to learn.
The Elephant in the room: The myth of exponential hypergrowth (2022) (asmartbear.com)
Even Facebook and Slack did not grow “exponentially,” as frequently described. Here is the correct model that you can use to understand and affect growth.
Myths and Urban Legends About Dual-Socket Servers (amd.com)
In the world of server technology, dual-socket was once cutting-edge technology.
Coca-Cola didn't invent Santa the 10 biggest Christmas myths debunked (2016) (theguardian.com)
Challenging the Myths of Generative AI (techpolicy.press)
The Apple IIGS Megahertz Myth (userlandia.com)
The Water Myth (2018) (mcgill.ca)
A growing body of data is debunking myths about remote work (thehill.com)
AI Scaling Myths (aisnakeoil.com)