📚 Quinn's Highlights

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A batch of the best highlights from what Quinn's read, .

Organizational Entropy: the tendency for artifacts you produce to start rotting immediately Summary: Any artifact produced within an organization immediately begins to deteriorate, much like a new car losing its value. Once published, such as a memo, it begins to become outdated. Entropy, in this context, always increases, requiring continual input of energy to prevent deterioration. This demands the creation of reinforcement mechanisms to ensure that all content remains current and functional, such as periodically checking and updating a database of memos. Transcript: Speaker 1 Organizational entropy, which is any artifact that you produce immediately starts rotting the moment that you have created it. Speaker 2 It's like driving a new car after a lot. Speaker 1 Yeah, the moment that anything is published in the company, you write a memo, it is already rotting. It is already going to be out of date. And so the concept of entropy is it is always increasing. And so the only way to keep entropy at bay is you have to add more energy into the system. So you have to create reinforcement mechanisms for any piece of content that you have. If you have a database of all your memos, you have to check them every once in a while to make sure they're up to date. You need to create more energy always has to go in in order to keep things fresh and functional.

#694 — Sam Corcos, Co-Founder of Levels — The Ultimate Guide to Virtual Assistants, 10x Delegation, and Winning Freedom by Letting Go

The Tim Ferriss Show

Pol.is: An Example of Tools for Facilitating Non-Adverserial Debate at Scale Summary: A twitter-like system in Taiwan guides conversations towards consensual outcomes by using k-means clustering. It's a simple proof of concept for fact checking and has been effective in large-scale conversations. The science of plurality can advance to help navigate complexity in diverse opinions. Transcript: Speaker 2 Pol.is i don't know if you guys are familiar with that but it's a system used in Taiwan it's a twitter like format but it deliberately guides conversations towards consensual or partially Consensual outcomes while highlighting the differences that exist in the conversations in a non-judgmental way and it's just a wonderful system and at the same time it's like the Most simplistic proof of concept of the general direction it uses k-means clustering of stated opinions it doesn't use any natural language processing it's like the bargain basement Version of what it's trying to achieve but it still has been transformatively effective for these types of conversations at scale in Taiwan and is being adopted if it survives by the Twitter bird watch folks as the foundations of what they're trying to do for fact checking so i do believe that there is a science here that can advance dramatically i think that we have Not chosen to apply ourselves to it because we've been seduced by oh we're going to do the unbiased algorithm that's going to predict the truth the right way rather than saying no people Are diverse you have a lot of different opinions how do we actually help people navigate that complexity so i really am hopeful that this science what i would call plurality really can Advance and and help us do these things much better and again i'll put in the plug if you're a researcher interested in these things we're trying to build an academic community that really Wants to work on them right to me at when at pluralitynetwork.org

Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized Society

COMPLEXITY: Physics of Life

Social Search Engines: Asking "I do X. Who do you think I should meet?" at Conferences Summary: Read the bios, not the session titles. Look for interesting people, not just panelists. Approach the moderators after panels and ask for recommendations. Repeat this process to meet important people. Don't oversell yourself when approaching referred individuals. Offer to buy them a drink. This methodical approach helps navigate the overwhelming number of sessions. Transcript: Speaker 1 So how do you choose among all the sessions? You probly have some big, fat book that youre like, my god. How am i possibly gong to tackle any of this? Number one, read the bios, not the sessions. The session titles may not tell you the whole story. For interesting people, not titles of sessions. And secondly, don't just look at the people on the panel. Look at the moderators. And so what i did my first time to south by southwest is i would go to a panel, i would listen to these amazing people on the on a given panel, and then i would go up, not to the alisters on the Panel, afterwards, i would go to the moderator, many of whom are equally impressive, in their own right. And i would go to the moderator, whois usually not nearly as mobbed, and i would give them a quick explanation at sahe thisis my first time at southby. I don't know anyone. Connel lost. Just finish my first book. It's about a, b and c. Personally, i'm interested n at the time, say, brazilian jujito, this, this and this. Is there anyone here you think i might really hit it off with? Anyone you think i should talk to? I'm pretty good at this and this? And they be as sure, yes, i thinkshul o, this person and this person. And i just repeated that line of questioning over and over and over again. And that's how i met many of the people who led to the tipping point for the book. And when i went up to those people who were referred, by the way, don't say so and so, said, we should really meet. Don't, don't oversell it. Just say i went up to them, i asked them this. They said this. I figured, what the hell, maybe we'd hit it off. Can i buy you drink? It's a very methodical way to go about tackling deluge of sessions.

#99 — How to Build a World-Class Network in Record Time

The Tim Ferriss Show

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