Algrothims and biases

Sometimes the complexity of our creations can outgrow our understanding.

With algorithms, we don’t have an engineering breakthrough that’s making life more precise, but billions of semi-savant mini-Frankensteins, often with narrow but deep expertise that we no longer understand, spitting out answers here and there to questions we can’t judge just by numbers, all under the cloak of objectivity and science.


However, while we now know how to make machines learn, we don’t really know what exact knowledge they have gained. If we did, we wouldn’t need them to learn things themselves: We’d just program the method directly.

The Real Bias Built In at Facebook

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Before you crack open another book have a read of this.

Reading is not a race, there is more value in re-reading a single good book than chasing the latest published. The essence of this post is below (with my highlights)

It means setting limitations for yourself. It means turning off notifications and focusing on absorbing what is in front you. It means allowing yourself time to reflect instead of continually dipping into your phone for a fix. It means not rushing yourself to the ends of books; not challenging yourself to finish more books than your neighbor. It means keeping a notebook next to you while you read and writing down your thoughts. It means re-reading sentences again and again, reasoning them into understanding. It means remembering how to see reading as a way to grow and not as a stat to collect. It doesn’t matter what device you read from or what content it is that you choose to read, but when you do so, dedicate your time to it. Worry less about what you are missing out on and allow yourself to get lost in thought. Concern yourself less with how much you are reading, and instead invest in how much you are learning. In the words of Henry David Thoreau, “Books must be read as deliberately and reservedly as they were written.”

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