📚 Quinn's Highlights

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

The Dataome: The Energy Intensity of the Digital World Key takeaways: • The generation and usage of digital data requires a significant amount of energy and resources. • Silicon chip production is an energy-intensive process due to the creation of ordered structures from disordered material. • Efforts to generate electric power for the current informational world are hindered by the fight against entropy. • The energy requirements for computation, data storage, and data transmission are increasing exponentially. • Without significant improvements in efficiency, the energy needed to run our digital data homes may soon match the global civilization's total energy usage. Transcript: Speaker 1 Its everything, right? It's this conversation in recording to yr bits. It's the information that went to and from your phone when you picked it up in the morning. It's the video you made. It's all the financial transactions, it's all the scientific computation. And that, of course, all takes energy. It takes the construction of te technology. In the first instance, making silican chips is an extraordinarily energy intensive thing, because you're making these exquisitely ordered structures out of very disordered material. And so there too, we go back to simo dynamics. And you're fighting, in this sense, against entropines. In a local fashion, we're having to generate electric to power current informational world, that piece of the data. And the rather sobering thing is that already, the amount of energy and resources that we're putting into this, it's about the same as the total metabolic utilization of around 700 Million human and if you look at the trend in energy requirements for computation, for data storage and data transmission, the trends all upwards. Its an expedential curve. And they suggest that perhaps, even if we have some improvements in efficiency, unless those improvements are then in a few decades time, we may be at a point where the amount of energy, Just electrical energy, required to run our digital data home, is roughly the same as the total amount of electrical energy we utilize as a global civilization at this time. Speaker 3 The

Caleb Scharf on the Ascent of Information — Life in the Human Dataome

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

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

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