sparks
The biggest bottleneck in building superintelligence is that AI agents are not as of yet very good at evaluating how they’re doing at a given goal. If they could better self-assess, they could self-improve. And digital self-improvement loops could lead to superintelligence. Making progress on importing particular human taste/judgement into LLMs
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aggregation is convenient for consumers, bad for the long tail of creators.
first time I hear the term “stratification at scale” - seems to suggest we can avoid flattening by building platforms that cater to different segments and preferences. (ie Sublime can be the platform for creative thinkers)
Arielle Richards • Please Stop Making Social Networks
the new certified organic label for websites?
The Great Unlock of Your Time & How the Sway of Brand is Changing
Henrik Karlsson • Becoming Perceptive
Rayne Fisher-Quann • the ends of empathy
love the honesty here - it’s not write what you know, it’s write to understand what you don’t know
Gurwinder • For Paid Subscribers (December 2023)
Have you ever heard the expression “That really pushes my buttons”? The notion that there is a particular set of things that uniquely motivates a person has always been a very powerful one with me. I don’t always have the best handle on what I want in life, but I have enough introspection to know where my buttons are. A... See more