Go Wild!
Feedback loops, Feral neurons, and the Metaverse (of course)
👋 On time for your weekend: a round-up of this week's 30 remarkable stories at the intersection of #technology, #business, #design, and #culture.
📚 Reading
Beware of tight feedback loops:
As we become proficient, the environment becomes harsher, with noisier feedback. Improving is not as easy. At higher levels of skill, further progression depends on self-learning, on discovering or inventing new practices and knowledge. As skill increases, the gap between optimizing for metrics and optimizing for mastery widens.
😬 Impostor Syndrome explained—Brian Lui
Does the Metaverse Need a Zoning Board?
It’s exciting to watch the community grow. But there is already a kind of nostalgia setting in among longtime users of these platforms (which is to say, those who have been there for three or four years) for the era before prices rose and the larger crypto community started moving into the metaverse.
🤨 As above, So below—Curbed
Neurons Gone Wild:
[T]here is an internal 'economy' in the brain, in which neurons must compete with each other for resources. This design stands in contrast to the standard computer architecture, whose parts never have to worry about where their energy is coming from. Without resource contention, there's no need for selfishness. And this is, in part, why computers are less flexible and adaptable than brains.
🥸 My neurons made me do it—Kevin Simler
🎧 Listening
Elemental Change:
How on earth have we get to this situation? Labour-saving devices have probably given us 50% of our former out-of-work time back, but we filled it with work! And I have got the sense: I have no more left to give, we have hit peak work. We cannot expect people to work 120 hours a week?
Perry Timms—The Wicked Podcast (iTunes, Spotify)
How Amazon Automated My Job:
What’s going to get automated last? In my opinion it’s the most difficult thing, which is critial thinking: adapting to new pieces of information and data. COVID has very much thrown all of the forecasting that was run by Machine Learning into the drain.
Elaine Kwon—Big Technology Podcast (iTunes, Spotify)
Shopify: The E-commerce On-Ramp:
If you just decide that you want to get the good outcome, rather than thinking of each other as competitors who are going after some fixed pie, you can get quite quickly to some amazing outcomes for our merchants.
Alex Danco—Colossus
📬 Suggestions?
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