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Deep Questions with Cal Newport

Ep. 276: Lazy or Disorganized?

Deep Questions with Cal Newport

Cal Newport

Technology, Self-improvement, Education

4.81.3K Ratings

🗓️ 27 November 2023

⏱️ 98 minutes

🧾️ Download transcript

Summary

One of the most common types of messages sent in from listeners of this podcast are self-recriminations about laziness. But what does “laziness” actually mean? In this episode, Cal takes a deeper look at the common terms and sees that it’s often used to describe two unrelated phenomena. He then gives a big idea for overcoming each.

Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: bit.ly/3U3sTvo

Video from today’s episode: youtube.com/calnewportmedia

Deep Dive: Overcoming laziness [4:00]

- How should I track small projects? [39:39]

- How do I find time to bodybuilder when I have a demanding job? [44:56]

- How do I remain motivated to work after graduation?[53:12]

- How do I make the shift from warehouse work to web development? [59:20]

- How do I deal with decision fatigue? [1:03:18]

- CALL: Implementing advice from pragmatic non-fiction books [1:07:53]

CASE STUDY: Pursuing a life of depth [1:11:31]

CAL REACTS: Algorithms act as conveyor belts [1:22:51]

LINKS:

jonathanhaidt.substack.com/p/algorithms-hijacked-my-generation

Thanks to our Sponsors:

rhone.com/cal

moshlife.com/deep

grammarly.com/podcast

This episode is sponsored by BetterHelp. Give online therapy a try at

betterhlep.com/deepquestions

Thanks to Jesse Miller for production, Jay Kerstens for the intro music, and Mark Miles for mastering.

Transcript

Click on a timestamp to play from that location

0:00.0

I'm Cal Newport and this is deep questions the show about living and working deeply in a

0:17.6

distracted world. So if you're new to what we have going on here, I am a computer science professor who

0:28.6

also writes about the impact of technology on how we live and how we work and how we relate to each other.

0:36.3

On this show I take the big ideas that I write about in my books, in my magazine articles, and my long-running newsletter and I

0:44.4

transform them into practical advice that you can put into action right now to

0:51.4

make your life deeper.

0:54.8

So I'm in my deep work HQ joined as always

0:58.6

by my producer Jesse.

1:01.4

Well, Jesse, I'll describe myself as being a little disappointed today. We're recording this the day before Thanksgiving

1:07.5

I was waiting for my call from open AI

1:11.5

To replace Sam Altman as the CEO but they went ahead and hired him back so the

1:17.0

call never came. I was excited to see you today because I was asking you

1:20.0

about it and then you're like you told me they got hired back and I didn't

1:22.4

even hear that yet. No it was disappointing to me. about it and then you're like you told me they got hired back and I didn't even

1:22.6

hear that yet. No it was disappointing to me I figured I actually you know I sent them a

1:26.6

proposal I was like look you put me in charge they obviously asked degree from MIT

1:30.4

right I know my stuff I have a vision for open AI where we put the AI technology

1:35.2

to use almost exclusively for rejecting and sending back emails. Like its whole point, I think the whole point of

1:43.4

GPT should be the intercept emails that are on its way and it should use its

1:48.0

thousands of watts of GPU computation to figure out how to keep those emails from getting to your inbox.

1:53.8

Yeah, I think that's the real use.

1:55.8

Prevent overload.

...

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