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There is a symbiotic relationship between an organization that pursues its mission through projects and the teams and individual members that execute them. The organization supports its teams and individuals by providing resources and infrastructure for knowledge and learning as well as a culture that shapes the work environment. This enables teams and individuals to learn and acquire the knowledge…

The Smart Mission

Edward J. Hoffman, Matthew Kohut, and Laurence Prusak

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

The need for transparent and democratic decision-making: Human bullshit and algorithmic bullshit are two sides of the same coin Summary: Data and algorithms are not inherently bad, but they should be used in a transparent and democratic way that empowers everyone. Instead of arguing about whether computer or human decision-making is better, we should focus on accountable and transparent decision-making. This means avoiding human biases and stereotypes as well as naive machine learning without considering its real-world implications. Transcript: Speaker 1 So the point is that it's not that data and algorithms are bad it's that they need to be applied in a way which is transparent and which is democratic and which empowers all of us to carry On these debates rather than simply being tools which accurately or inaccurately are being used to buy the powerful to control the rest of us it's silly to argue about which is better You know computer decision making or human decision making that's really not the point I mean the point is we should have accountable transparent decision making instead of bs there's Human bs which comes in the form of stereotypes in ideology and there's algorithmic bs which comes in the form of naive machine learning without thinking enough about its applications

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

COMPLEXITY: Physics of Life

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