Sept. 17, 2026

324. Rethinks: Defining Where We Want AI To Take Us

324. Rethinks: Defining Where We Want AI To Take Us
324. Rethinks: Defining Where We Want AI To Take Us
Think Fast Talk Smart
324. Rethinks: Defining Where We Want AI To Take Us

“If you're worried that a ChatGPT type tool can replace you, you need to [ask]: Why am I communicating? What am I trying to say? Am I being authentic?”

Artificial intelligence can now do a lot of things. But if you’re worried about it taking your place as a communicator, Russ Altman says you need to question why you’re communicating in the first place. A Stanford professor of bioengineering and host of Stanford Engineering’s podcast, The Future of Everything, Altman sees advancing technology not as a threat to human creativity and connection, but as a tool for raising our standards for communication. In this Rethinks episode of Think Fast, Talk Smart, Altman and Matt Abrahams discuss how effective communication can help us articulate ideas, strengthen connections, and navigate toward the future we want.


Takeaways:

  • AI works best as an amplifier, not a replacement. Using AI to test, refine, and adapt your ideas can make communication clearer while keeping your purpose, judgment, and authentic message at the center.
  • Make complexity easier to understand, not less meaningful. Stories, analogies, and audience-aware language can translate difficult ideas without dumbing them down.


Activity:

  • Treat questions as gifts. The next time someone questions your idea, resist the urge to defend it. Instead, thank them and ask one follow-up question to better understand their perspective before responding.


Episode Reference Links:

Connect:


Chapters:

  • (00:00) - Introduction
  • (01:41) - AI and Communication
  • (03:46) - AI as a Feedback Tool
  • (04:48) - Structuring a Strong Proposal
  • (06:48) - Simplifying Complex Ideas
  • (09:12) - Preparing for Tough Topics
  • (10:53) - Asking Better Questions
  • (13:43) - Building Stronger Teams
  • (16:21) - Productive Conflict
  • (17:53) - Finding People’s Passion
  • (18:43) - The Final Three Questions
  • (22:06) - Conclusion

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Chapters

00:00 - Introduction

01:41 - AI and Communication

03:46 - AI as a Feedback Tool

04:48 - Structuring a Strong Proposal

06:48 - Simplifying Complex Ideas

09:12 - Preparing for Tough Topics

10:53 - Asking Better Questions

13:43 - Building Stronger Teams

16:21 - Productive Conflict

17:53 - Finding People’s Passion

18:43 - The Final Three Questions

22:06 - Conclusion

Transcript
WEBVTT

00:00:02.936 --> 00:00:06.136
Matt Abrahams: AI is changing how
we work, think, and communicate.

00:00:06.526 --> 00:00:09.746
As these tools become more
capable, knowing how to use them

00:00:09.746 --> 00:00:11.975
effectively matters more than ever.

00:00:12.456 --> 00:00:15.405
I'm Matt Abrahams, and I teach
Strategic Communication at Stanford

00:00:15.406 --> 00:00:16.666
Graduate School of Business.

00:00:16.916 --> 00:00:21.856
Welcome to this Rethinks episode of
Think Fast, Talk Smart, the podcast.

00:00:21.875 --> 00:00:24.395
We're opening up the vault to
revisit my conversation with

00:00:24.406 --> 00:00:26.076
Stanford Professor Russ Altman.

00:00:26.535 --> 00:00:30.865
Listen in as we explore how AI can help
us communicate more clearly, sharpen

00:00:30.865 --> 00:00:34.476
our thinking, and solve problems
more effectively, while reminding

00:00:34.476 --> 00:00:38.896
us why human judgment, curiosity,
and connection remain essential.

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Connection and the ability to explain
where we are and where we need to go is

00:00:46.356 --> 00:00:48.905
critical for success in communication.

00:00:49.996 --> 00:00:53.376
My name is Matt Abrahams, and I
teach Strategic Communication at

00:00:53.395 --> 00:00:55.196
Stanford Graduate School of Business.

00:00:55.615 --> 00:00:58.826
Welcome to Think Fast,
Talk Smart, the podcast.

00:01:02.798 --> 00:01:05.138
Today I'm excited to
speak with Russ Altman.

00:01:05.308 --> 00:01:08.238
Russ is a professor of bioengineering
at Stanford University.

00:01:08.518 --> 00:01:12.728
His primary research interests are in
the application of AI and data science

00:01:12.728 --> 00:01:14.807
to problems relevant to medicine.

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Russ is also the host of
Stanford Engineering's The

00:01:17.698 --> 00:01:20.267
Future of Everything podcast.

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Welcome, Russ.

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I'm a big fan of your podcast and really
enjoyed the opportunity we had earlier

00:01:24.728 --> 00:01:27.018
today where I was a guest on your show.

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Russ Altman: Thanks so much.

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Thanks for having me.

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I share enthusiasm for this
podcast, and it's kind of a thrill.

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I think it might be my first podcast as
a guest, and it couldn't be a better one.

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Matt Abrahams: Oh, well,
thank you, and I'm excited for

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the, what we're about to do.

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You ready to get started?

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Russ Altman: Yes.

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Matt Abrahams: Excellent.

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Each of your podcast episode
titles starts with The Future Of.

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So let me start by asking you for your
thoughts on the future of communication,

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especially how AI plays out in it.

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Russ Altman: So first of all, I'm
glad you mentioned that I had you on

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my podcast because the answer is you
told me the future of communication.

00:02:00.257 --> 00:02:02.147
But I actually thought
about it before we chatted.

00:02:02.318 --> 00:02:03.378
I'm an AI enthusiast.

00:02:03.378 --> 00:02:04.617
I use AI in my research.

00:02:04.627 --> 00:02:07.437
I'm part of the Human-Centered
AI Institute at Stanford.

00:02:08.018 --> 00:02:12.768
AI in general has exposed lots of
things that were hidden in our society.

00:02:12.768 --> 00:02:16.917
So a lot of people hear about bias and
unfairness, and that is a problem with AI.

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On the other hand, it was a problem
before, and in some ways we need

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to give AI credit for exposing the
unfairness and giving us something

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that we can work on to try to improve.

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And the reason I mention this
is I think for communication, in

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some ways it's the same answer.

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If you're worried that a ChatGPT type
tool can replace you, I think you need

00:02:37.540 --> 00:02:39.740
to think about why am I communicating?

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What am I trying to say?

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Am I being authentic?

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Do I have a message?

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Because really, if those things are
true, it shouldn't be a problem.

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It should actually just help you
amplify and improve your message.

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So I think that we're at a time now
where people have to ask hard questions

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about why they're communicating
and how they communicate, and I

00:02:56.809 --> 00:02:59.969
think that the AI is bringing these
issues to the fore that were kind

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of insidiously in the background.

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So you can see I'm an AI optimist,
and I think this will help.

00:03:05.329 --> 00:03:08.410
Matt Abrahams: I also think AI can
bring a lot of value to communication.

00:03:08.410 --> 00:03:10.789
And, and I really like your
response that the thing to worry

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about is, do I have a clear goal?

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Do I know what, uh, is important to say?

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And how can I craft it
in a way to be helpful?

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And I think AI can be an assistant in it.

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For example, I have many
non-native speaking students.

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AI's a wonderful tool to help them
learn some of the vernacular and learn

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other options for ways of saying things.

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Russ Altman: It is interesting how good
it is when you say, "Please explain this

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at the level of an eighth grader or at
the level of a high school student."

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And I think that's something we all can
get better at because understanding who

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your audience is and then making sure
you're delivering at the right level is

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always a challenge, and that seems to
be one thing that it's kind of good at.

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Matt Abrahams: Absolutely, and you
can actually use it to flag jargon and

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terms that others might not understand.

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You mentioned that you happen
to use it in your communication.

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Do you mind sharing some
of the ways you use it?

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Russ Altman: My favorite story, if I
may, was I had written a grant proposal,

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and I ran the one-page summary of the
grant through the, uh, large language

00:04:04.029 --> 00:04:08.860
model, and I said, "Please summarize the
strengths and weaknesses of this summary

00:04:08.860 --> 00:04:12.319
of my research that I'm about to submit
to the National Institutes of Health for,

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for research dollars." And it came back,
and it had a few, you know, pretty good

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positives and negatives, but my favorite
negative is it said, "You seem to be

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leaning on prior accomplishments too
heavily." And it was absolutely right.

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So I've used it as like,
as a pre-human screen.

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Before I go to my colleagues even,
even my trusted colleagues, let's

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just see what the LLM has to say.

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Maybe I'll fix it up and then give it to
my buddy down the hall to take a look.

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Matt Abrahams: Did it recommend
you need to see some therapy about

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some narcissism or no, no, no?

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It didn't.

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Russ Altman: That goes without statement.

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But if, if I had asked, I'm sure
it would've added to the chorus.

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Matt Abrahams: I want to pull this
thread a little farther about grants.

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You have been incredibly successful at
raising money for the projects that you

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do through the grants that you apply for.

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Many of our listeners have to write
proposals asking for funding from their

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bosses or from external organizations.

00:05:03.079 --> 00:05:07.090
What guidance do you have when it
comes to drafting proposals and grants?

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Russ Altman: Yes.

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I am passionate about this.

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In general, the first thing you have to
do is understand the mission of the person

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or institution to whom you are making
a request because if you don't hit that

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mission on directly, it's end of the game.

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Given that, you need to have a big
problem that you're, that you wanna

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be part of the solution of, and
then a focused problem that you are

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actually gonna provide the solution to.

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You have to show that that
sub-problem is not solved.

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Then you have to make the case that
there's an opportunity that you and

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maybe others, but certainly you have.

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And then you have to boil it down
to three to five action items,

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followed by a summary of the state
of the world when you're done.

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And I believe that that formula
can be used from everything from

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a grant to a federal funding
agency to a marriage proposal.

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And I've tried it in all different
settings, and it really is the

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fundamental structure of any proposal.

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Matt Abrahams: When, when we turn off the
microphones, I wanna hear the future state

00:06:05.816 --> 00:06:07.535
that you used to propose to your wife.

00:06:08.487 --> 00:06:08.777
Russ Altman: Happiness.

00:06:08.857 --> 00:06:09.637
No, it's an easy one.

00:06:09.677 --> 00:06:13.077
"Honey, you will be happier
then than you are now."

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Matt Abrahams: Excellent.

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So it, the key takeaway from what you
just said, I think, is, it, not only

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do you have to know your audience and
what's important for them, and that's

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critical, regardless of if it's a
proposal or a pitch or a presentation.

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But this notion of where we are to
where we're going to, from to to, is so

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important in pitches, in presentations,
and it sounds like in types of proposals.

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Russ Altman: Absolutely.

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Matt Abrahams: And I like this notion
of saying, "Hey, there's this larger

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problem, and I'm gonna focus on this
subset, and my unique value or my team's

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unique value is what's gonna help us solve
it. Here's the specific things, and then

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here's what the world's gonna look like."

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Russ Altman: Thank you
for listening, Matt.

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Matt Abrahams: What you did there is
something I'd also like to ask you about.

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Your work in the academic world is
incredibly complex, is incredibly

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detailed, and yet you're so good
at explaining and making that

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complex information accessible.

00:07:03.167 --> 00:07:04.657
What are your thoughts on how to do that?

00:07:04.657 --> 00:07:05.957
I know you do it strategically.

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I know from the conversation you and I
had earlier you like using the whiteboard.

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What are the things you think about when
you take complex information to make it

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more accessible to people who just don't
know as much, without dumbing it down?

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Russ Altman: I think that
you know this very well.

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Stories are what people remember.

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Stories are what people like.

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It's a, it's actually frustrating
'cause part of my work is

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statistics, and statistics is really
much more robust than a story.

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We always say you might have one good
anecdote, and that doesn't replace lots

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of actual data, but I'm afraid that
sometimes, a lot of times, a good story

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does stand in for a lot of data because
it's so compelling to the human mind.

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So we're always looking for stories.

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Analogy is a key part of both stopping
the conversation and letting people catch

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up, but also saying, "Okay, wait a minute.

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Let me rephrase what you just said,
but let me map it onto an everyday

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situation like going shopping.

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So you're telling me that the internet
and the way it works is like a very

00:08:02.337 --> 00:08:04.497
complicated mail system," or whatever.

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And so can you listen to what
the expert is saying and see an

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analogy to an everyday life thing?

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And you're checking your understanding,
but on the chance that you're

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right, you're also helping the
entire listenership or readership

00:08:18.487 --> 00:08:20.157
understand what was just said.

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So that's important.

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Related to that, you always have
an antenna up for jargon, and

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you, I'm sure you do this too.

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You have to be willing to stop the
conversation cold and say, "Oh, you just

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said NIH. That's the National Institutes
of Health. They fund research in America."

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And so part of what I'm doing always is
a little antenna listening for words that

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need to be defined or abbreviations that
might not be commonly, uh, understood.

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So I think analogy, stories,
and then adjusting the level.

00:08:50.517 --> 00:08:53.917
So sometimes when you're talking
with someone, you just have to

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send them signals in real time
that we are talking at a level that

00:08:58.497 --> 00:09:02.817
requires a PhD, and I'm going for
high school, college students here.

00:09:02.887 --> 00:09:03.707
And then it's practice.

00:09:03.707 --> 00:09:06.437
And one of the great thing I love
both about this podcast and about

00:09:06.437 --> 00:09:09.467
your book is you don't say that you
either got it or you don't got it.

00:09:09.537 --> 00:09:12.027
All of this can be practiced and learned.

00:09:12.157 --> 00:09:12.827
Matt Abrahams: Absolutely.

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That's a big point I like to try
to make, and you are helping all

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of us learn this Something that I
think can also be helpful, and I'd

00:09:20.067 --> 00:09:23.617
love to get your input on this, is
there's work you can do in advance.

00:09:23.667 --> 00:09:27.357
So you can actually stockpile
some stories or think about some

00:09:27.357 --> 00:09:29.417
potential analogies that might work.

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It doesn't all have to
happen in the moment.

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You can pull them in.

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And at the same time, some pre-work you
can do is you can prepare the audience.

00:09:35.987 --> 00:09:39.197
So in a meeting invite, for example,
you could say, "And we're gonna be

00:09:39.197 --> 00:09:42.757
talking about concepts like this,"
so people come in primed, which

00:09:42.757 --> 00:09:44.117
I think makes your job easier.

00:09:44.257 --> 00:09:45.807
What are your thoughts
on that kind of pre-work?

00:09:46.177 --> 00:09:47.327
Russ Altman: I totally agree.

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I had one more point written down,
and I just had decided that I

00:09:50.217 --> 00:09:52.097
had talked too long a second ago.

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But I said anticipate the tough spots
and validate that they're tough.

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So say to the audience, "This guy's
talking about quantum physics. This is

00:10:00.227 --> 00:10:03.957
hard stuff. Here's how we're gonna try
to manage through it together." So I just

00:10:03.957 --> 00:10:05.927
wanna say that you're absolutely right.

00:10:06.127 --> 00:10:09.757
I think the key idea of prep for an
interview or for creating a document

00:10:09.757 --> 00:10:14.197
or, or any kind of communication is
anticipating the tough moments, the

00:10:14.197 --> 00:10:18.547
tough concepts, and saying, "Okay, I'm
gonna try to fly with this analogy. I

00:10:18.577 --> 00:10:22.457
think this'll work. I think it'll make
it more accessible, more relatable."

00:10:22.767 --> 00:10:24.397
And that's part of doing your homework.

00:10:24.407 --> 00:10:27.857
And before I talk to you, before I talk
to anybody, I spend the night before

00:10:27.867 --> 00:10:31.337
basically Google stalking you, looking at
what have you said, what have you done.

00:10:31.817 --> 00:10:34.657
Part of it is so I can have emergency
topics to talk about if it turns out

00:10:34.657 --> 00:10:36.847
that you're, you know, reticent to speak.

00:10:36.867 --> 00:10:37.777
That wasn't a problem.

00:10:37.827 --> 00:10:42.137
However, the other thing was, what
might he say that might be surprising or

00:10:42.137 --> 00:10:44.287
troubling, and how am I gonna manage that?

00:10:44.287 --> 00:10:46.807
And then you go in with this
confidence that kinda whatever comes

00:10:46.807 --> 00:10:48.507
down the pike, we're ready for it.

00:10:48.577 --> 00:10:51.887
And you may use 'em or you may not
use 'em, but having them just has

00:10:51.887 --> 00:10:53.717
you, this sense of preparedness.

00:10:53.907 --> 00:10:54.237
Matt Abrahams: Right.

00:10:54.267 --> 00:10:56.737
And that helps you be confident
and more present because you're not

00:10:56.907 --> 00:10:58.497
reaching ahead thinking what's coming.

00:10:59.197 --> 00:11:03.777
You do a good job of preparing to ask
the questions you ask on your podcast.

00:11:03.877 --> 00:11:06.527
That preparation in advance, although
I don't know that I'm recommending

00:11:06.527 --> 00:11:07.907
everybody cyberstalk people.

00:11:07.907 --> 00:11:09.577
But I do think it's important
to do your homework.

00:11:09.797 --> 00:11:13.927
What advice do you have for asking
questions that can really help focus and

00:11:13.977 --> 00:11:16.407
guide communication and conversations?

00:11:16.557 --> 00:11:18.737
Russ Altman: Specificity
in the question is key.

00:11:19.037 --> 00:11:22.367
Uh, specificity rules in
the world, in my opinion.

00:11:22.667 --> 00:11:25.757
People wanna hear stories that are
specific, not general, and you, they

00:11:25.757 --> 00:11:27.357
wanna hear questions that are specific.

00:11:27.507 --> 00:11:31.567
But then my second tip helps take up
a little bit of pressure off 'cause I

00:11:31.587 --> 00:11:36.247
think the follow-up question is arguably
more important than the initial question

00:11:36.447 --> 00:11:40.987
'cause the initial question gets the
listeners and the guests, if we're talking

00:11:40.987 --> 00:11:43.097
about a podcast into a certain space.

00:11:43.167 --> 00:11:45.577
And there might be some hemming
and hawing as they gather their

00:11:45.577 --> 00:11:47.327
thoughts, but then they say something.

00:11:47.347 --> 00:11:50.497
Now they're warmed up, and their
audience is warmed up, and now you

00:11:50.497 --> 00:11:54.457
can come up with a follow-up question
that might be the meaty question.

00:11:54.687 --> 00:11:57.247
And I've heard people who are very
good who do, who interviews, you

00:11:57.247 --> 00:11:58.657
know, Letterman, Johnny Carson.

00:11:58.657 --> 00:12:01.147
If you watch, their follow-ups
were always very good.

00:12:01.327 --> 00:12:04.687
Matt Abrahams: In addition to being
specific and, and being open to asking

00:12:04.687 --> 00:12:09.173
follow-up questions, the use of questions
isn't just for people who do interviewing.

00:12:09.533 --> 00:12:13.543
You can be very effective in a
meeting, in giving feedback through

00:12:13.563 --> 00:12:16.083
asking focus-specific questions.

00:12:16.083 --> 00:12:20.113
And in some ways, I think people receive
that in a more open way than if I

00:12:20.123 --> 00:12:21.583
give you some declarative statement.

00:12:21.633 --> 00:12:23.113
Russ Altman: I think
you're absolutely right.

00:12:23.333 --> 00:12:28.093
I notice that my PhD students, the
last thing that they get good at

00:12:28.163 --> 00:12:31.703
before they're ready to launch and
graduate is answering questions after

00:12:31.703 --> 00:12:36.133
a seminar, because they come to it
thinking that questions are an attack.

00:12:36.863 --> 00:12:38.533
And so they get defensive.

00:12:38.663 --> 00:12:41.123
Their answers are almost off-putting.

00:12:41.383 --> 00:12:45.123
And so there's a mentorship that you
do to say, "You need to consider every

00:12:45.123 --> 00:12:47.773
question as a little gift." It's a gift.

00:12:47.793 --> 00:12:52.913
It shows I listened to what you just said,
I've processed it, and now I actually

00:12:52.913 --> 00:12:54.543
want to have a conversation with you.

00:12:54.723 --> 00:12:56.753
That, like, it doesn't
get any better than that.

00:12:56.813 --> 00:12:59.513
So yes, questions, uh, can be powerful.

00:12:59.673 --> 00:13:00.813
They can say thank you.

00:13:00.923 --> 00:13:02.203
They can say I heard you.

00:13:02.453 --> 00:13:04.543
And they can say, "And I have a
little bit of an opinion here,"

00:13:04.633 --> 00:13:07.563
without even saying it as "I have
a little bit of an opinion here."

00:13:07.673 --> 00:13:10.573
Matt Abrahams: Seeing questions as
opportunities rather than threats and

00:13:10.573 --> 00:13:14.943
challenges is a fundamental mindset
shift, and I love that you spend time

00:13:15.143 --> 00:13:17.223
with your students helping them get there.

00:13:17.223 --> 00:13:18.313
Because it's instinctual.

00:13:18.313 --> 00:13:20.403
When somebody comes up with
a question, we get defensive.

00:13:20.853 --> 00:13:23.513
But if we can see it as an
opportunity to connect, to learn, to

00:13:23.543 --> 00:13:25.113
collaborate, I think is wonderful.

00:13:25.123 --> 00:13:27.743
Russ Altman: My best friend is a sports
writer, but really more importantly,

00:13:27.743 --> 00:13:32.503
he's a journalist, and he's famous
for making his points with these very

00:13:32.543 --> 00:13:37.173
understated, beautiful questions where he
doesn't even have to follow up and tell

00:13:37.173 --> 00:13:40.843
you what he really thinks because it's
obvious from his question what a great

00:13:40.843 --> 00:13:42.643
journalist he is because of this skill.

00:13:43.103 --> 00:13:45.093
Matt Abrahams: We had a whole
episode with Deborah Schiffrin

00:13:45.103 --> 00:13:46.723
on how to ask good questions.

00:13:47.003 --> 00:13:48.073
She said to pause.

00:13:48.403 --> 00:13:51.633
So after you ask the question, pause,
and after the person answers, pause

00:13:51.633 --> 00:13:53.303
even longer 'cause more comes out.

00:13:53.843 --> 00:13:57.633
I'd love to move to another
area where you are an expert.

00:13:57.633 --> 00:14:02.353
You work on highly complex topics, but
you also work in highly complex teams.

00:14:02.383 --> 00:14:07.013
What best practices do you use to foster
creativity and collaboration while

00:14:07.013 --> 00:14:12.133
trying to avoid destructive conflict and
repetitive actions and wastes of time?

00:14:12.293 --> 00:14:15.223
Russ Altman: It has become clear that
team science is the most effective

00:14:15.223 --> 00:14:17.083
and is the most exciting in many ways.

00:14:17.113 --> 00:14:21.673
You must understand and acknowledge
the rewards and motivations of

00:14:21.673 --> 00:14:25.503
your collaborators because they're
unlikely to be identical to your own.

00:14:25.733 --> 00:14:31.293
And if you leave that unstated or, worse,
not understood, it's just a recipe for

00:14:31.293 --> 00:14:34.233
a lot of wasted energy and wasted words.

00:14:34.263 --> 00:14:38.243
And that leads to number two, which is
you have to build the relationship, the

00:14:38.243 --> 00:14:43.843
human relationship separate from the
scientific or business collaboration.

00:14:43.913 --> 00:14:46.893
But that time, which is kind of a pain
in the neck 'cause it means you have

00:14:46.893 --> 00:14:49.073
to have lunch with them, and maybe you
don't want to have lunch, maybe you want

00:14:49.073 --> 00:14:51.743
to just take five minutes to shove food
down your throat because you're busy.

00:14:52.023 --> 00:14:55.353
But the time to build that
relationship pays off in spades.

00:14:55.363 --> 00:14:56.973
So those two things come first.

00:14:57.443 --> 00:15:01.523
Then you have to, I think diversity
in teamwork has become, there's now

00:15:01.683 --> 00:15:06.013
literal evidence that if everybody
looks and sounds like you and has

00:15:06.013 --> 00:15:09.673
the same training and the same
perspective and the same goals, that

00:15:09.673 --> 00:15:11.223
is not the recipe for the best team.

00:15:11.223 --> 00:15:14.813
So you have to take a hard look
at who you've invited to the room.

00:15:15.063 --> 00:15:18.553
And if you're really brave and
courageous, you will say, "This is a

00:15:18.553 --> 00:15:21.863
good group, but this is not the right
group for this project, and we either

00:15:21.863 --> 00:15:25.623
need to add to it or I need to make
some substitutions." And then it's

00:15:25.643 --> 00:15:27.713
about, uh, roles and responsibilities.

00:15:27.743 --> 00:15:31.873
And with the relationship in place and
with an understanding of the reward

00:15:31.873 --> 00:15:37.063
systems and with a diversity, now you
can say, finally, "Okay, here's what

00:15:37.063 --> 00:15:41.093
we're trying to do. How are we gonna
break this down, and how are we gonna

00:15:41.093 --> 00:15:44.143
do roles and responsibilities so that
people feel like they're part of a team

00:15:44.143 --> 00:15:48.303
that is functioning?" And then having
mechanisms for both formal and informal

00:15:48.303 --> 00:15:50.573
communication in place and understood.

00:15:51.083 --> 00:15:52.483
Matt Abrahams: A lot of
richness in that answer.

00:15:52.483 --> 00:15:53.123
Russ Altman: Yeah, sorry.

00:15:53.133 --> 00:15:53.613
Matt Abrahams: No.

00:15:53.643 --> 00:15:54.193
No, no.

00:15:54.193 --> 00:15:55.653
It's all, it's all good.

00:15:55.943 --> 00:15:59.843
The fact that you first have to get
alignment on goals and expectations is

00:15:59.843 --> 00:16:03.793
critical, forming those relationships that
which then allow much of what you've said.

00:16:04.223 --> 00:16:07.803
And I will just put an exclamation
point on this notion of diversity.

00:16:07.803 --> 00:16:11.853
Diversity of opinions and experience and
goals is what brings around the richness,

00:16:12.173 --> 00:16:16.183
but also requires that you have to
define the roles, responsibilities, and

00:16:16.183 --> 00:16:19.603
ways of communicating because if people
have those differences, they bring that

00:16:19.603 --> 00:16:21.103
different way of communicating, too.

00:16:21.493 --> 00:16:25.503
I wanna drill down on one aspect that I
was very specific in the question I asked.

00:16:25.503 --> 00:16:28.443
I said avoiding destructive conflict.

00:16:29.043 --> 00:16:32.913
I know in the work you do that encouraging
some disagreement and conflict is

00:16:32.913 --> 00:16:34.743
actually helpful to achieving the goals.

00:16:35.143 --> 00:16:36.973
How do you thread that needle?

00:16:37.223 --> 00:16:40.233
Russ Altman: Where it comes up in
my life literally every week is

00:16:40.233 --> 00:16:43.343
that all the students and post-docs
in the lab take turns every week

00:16:43.363 --> 00:16:44.663
giving what we call a group meeting.

00:16:44.673 --> 00:16:47.653
It's a, it's a research in progress
talk about how they're going.

00:16:48.123 --> 00:16:49.203
So what's supposed to happen?

00:16:49.203 --> 00:16:51.973
What's supposed to happen is
we're supposed to be supportive.

00:16:52.183 --> 00:16:56.593
We wanted them to feel comfortable, but
they're supposed to be practicing for

00:16:56.593 --> 00:17:00.103
an audience that may be hostile, like
scientific colleagues can be hostile.

00:17:00.393 --> 00:17:03.903
And so I, as the leader of the group,
have to figure out, how do I set

00:17:03.903 --> 00:17:08.393
this up so that they are getting
the hardest questions, scientific,

00:17:08.443 --> 00:17:13.203
technical questions from these people
that they sit with every day, but it

00:17:13.203 --> 00:17:17.373
doesn't lead to a toxic environment,
lack of trust, and people saying, "I

00:17:17.373 --> 00:17:18.383
don't wanna give my group meeting.

00:17:18.383 --> 00:17:22.433
I don't trust this group." So I have to
set it up so that they can present, I

00:17:22.433 --> 00:17:28.223
can ask hard questions, but then we have
a culture of thanking them for their

00:17:28.273 --> 00:17:33.053
talk, acknowledging the hard things that
they've uncovered as hard, thanking them

00:17:33.053 --> 00:17:34.573
for the solutions that they've produced.

00:17:34.593 --> 00:17:38.883
And if, if I see problems, I have
other communication methods in the

00:17:38.883 --> 00:17:43.463
lab to try to identify those and
deal with them outside of that forum.

00:17:43.463 --> 00:17:44.383
But you're absolutely right.

00:17:44.383 --> 00:17:47.803
This is, like, the number one
thing for a team leader to be

00:17:47.813 --> 00:17:53.133
aware of 'cause the rigor/support
tension is there all the time.

00:17:53.523 --> 00:17:54.963
Matt Abrahams: You know, Russ,
one of the things I love about

00:17:54.963 --> 00:17:58.833
hosting this podcast is the ability
to talk with amazing people.

00:17:58.863 --> 00:18:00.073
I always learn something.

00:18:00.263 --> 00:18:04.063
What is something that you've learned
from your many years of hosting The Future

00:18:04.063 --> 00:18:08.223
of Everything that you think might help
the listeners of Think Fast, Talk Smart?

00:18:08.283 --> 00:18:12.723
Russ Altman: The people who I
interview, what they do is the thing

00:18:12.723 --> 00:18:16.103
that they think is the most important
thing they could possibly do.

00:18:16.443 --> 00:18:17.833
So you talk to a civil engineer.

00:18:17.913 --> 00:18:20.963
It's not that this is one little
interesting problem in civil engineering.

00:18:21.133 --> 00:18:24.473
This is the most interesting problem
in civil engineering to this person,

00:18:24.623 --> 00:18:27.983
and indeed, it's the most important
thing they can think of doing.

00:18:28.263 --> 00:18:31.223
And so the passion that scientists
and engineers, 'cause that's what

00:18:31.223 --> 00:18:35.623
we focus on, but the passion of
scientists and engineers in approaching

00:18:35.623 --> 00:18:38.763
their work probably shouldn't
have surprised me, but it did.

00:18:38.763 --> 00:18:42.083
And I learned that you need to
get to people's passion to really

00:18:42.083 --> 00:18:43.183
understand what makes them tick.

00:18:43.203 --> 00:18:45.723
Matt Abrahams: That's important for all of
us to do with the people we work with and

00:18:45.723 --> 00:18:49.053
the people we socialize with, is provide
them avenues to explain their passion.

00:18:49.887 --> 00:18:52.607
Well, I know you listen to the
podcast, so you know that before we

00:18:52.607 --> 00:18:54.927
end, I like to ask three questions.

00:18:54.937 --> 00:18:57.997
One I create just for you.

00:18:58.167 --> 00:18:58.272
Russ Altman: Oh, my goodness.

00:18:58.272 --> 00:18:58.462
This is so exciting.

00:18:58.592 --> 00:19:01.977
Matt Abrahams: And, and two that are
similar for everybody else I interview.

00:19:01.977 --> 00:19:02.837
Uh, you up for yours?

00:19:02.917 --> 00:19:03.447
Russ Altman: Yeah, absolutely.

00:19:03.487 --> 00:19:03.977
Matt Abrahams: All right.

00:19:04.507 --> 00:19:06.657
You are very future focused.

00:19:06.817 --> 00:19:11.487
So what is one thing about the future
that you're particularly excited about?

00:19:11.797 --> 00:19:14.107
Russ Altman: I am excited
about young people.

00:19:14.237 --> 00:19:18.947
Young people starting to form
their lives and their direction

00:19:18.987 --> 00:19:20.017
gives me hope for the future.

00:19:20.027 --> 00:19:23.177
As you may have come to your
attention, the world is currently

00:19:23.177 --> 00:19:27.767
facing a lot of problems, and it's
very easy to get very negative.

00:19:27.987 --> 00:19:33.627
And if you want to combat that negativity,
be involved in an admissions process or a

00:19:33.627 --> 00:19:37.437
hiring process of young people, like for
their first job or for their next job.

00:19:37.707 --> 00:19:41.607
If you're not inspired, then I think
you need to do some deep introspection.

00:19:41.827 --> 00:19:44.927
Matt Abrahams: Yeah, I love that answer
simply because I have lots of friends

00:19:44.927 --> 00:19:48.457
who are getting curmudgeonly, and they
will say, "These young people, what's

00:19:48.457 --> 00:19:52.417
this world gonna amount to?" And I say,
"It's us that's causing the problems."

00:19:52.497 --> 00:19:56.507
Because if you come in and see my students
or the people I coach, there's a lot of

00:19:56.517 --> 00:19:58.937
hope and there's a lot of excitement,
and I'm, I'm glad you echoed that.

00:19:58.947 --> 00:20:02.957
Question number two, who is a
communicator that you admire and why?

00:20:03.307 --> 00:20:03.937
Russ Altman: My dad.

00:20:04.447 --> 00:20:04.997
Matt Abrahams: Tell me why.

00:20:05.087 --> 00:20:06.097
Russ Altman: He had a great voice.

00:20:06.137 --> 00:20:07.397
He had an FM voice.

00:20:07.737 --> 00:20:11.507
And he did lots of the things
that you discuss all the time.

00:20:11.817 --> 00:20:14.897
When I'm trying to do my best at
communicating, I'm channeling Dad.

00:20:15.407 --> 00:20:17.487
Matt Abrahams: I actually am getting
a little choked up because I feel

00:20:17.487 --> 00:20:19.097
exactly the same way about my father.

00:20:19.437 --> 00:20:21.467
Uh, my father had an
amazing resonant voice.

00:20:21.657 --> 00:20:25.017
And when you said FM voice, my
father actually did a little radio,

00:20:25.027 --> 00:20:26.997
and he was always very structured.

00:20:26.997 --> 00:20:27.697
Get to the point.

00:20:27.727 --> 00:20:28.507
What's the point?

00:20:28.517 --> 00:20:32.297
And it really helped me try to
be more focused and concrete.

00:20:32.427 --> 00:20:33.637
Russ Altman: So be, if I may.

00:20:33.667 --> 00:20:33.947
Matt Abrahams: Yeah.

00:20:33.997 --> 00:20:36.427
Russ Altman: Between the podcast we did
this morning and the one we're doing

00:20:36.427 --> 00:20:39.647
now, I gave a talk and somebody said,
"What's the best piece of advice you

00:20:39.647 --> 00:20:43.617
ever got?" And I said, "It was from
my dad, and it was get to the point."

00:20:43.757 --> 00:20:44.527
Matt Abrahams: Oh, how funny.

00:20:44.997 --> 00:20:48.597
Uh, question number three, what are
the first three ingredients that go

00:20:48.597 --> 00:20:51.047
into a successful communication recipe?

00:20:51.277 --> 00:20:52.747
Russ Altman: You need to
know who you're talking to.

00:20:52.747 --> 00:20:56.697
You need to know the audience, a little
bit about their goals, hopes and dreams.

00:20:57.047 --> 00:20:59.657
Second, you need to think
about what you're specifically

00:20:59.667 --> 00:21:01.027
trying to tell that person.

00:21:01.267 --> 00:21:04.557
And then the third one I'm gonna
go with, make sure you try to

00:21:04.567 --> 00:21:07.157
keep it fun, light and enjoyable.

00:21:07.157 --> 00:21:09.037
Like, life is short.

00:21:09.287 --> 00:21:14.017
And if you can do something with a sense
of joy, why not do it with a sense of joy?

00:21:14.037 --> 00:21:19.129
So Even if it's the most mundane
message, think about, how can I make

00:21:19.129 --> 00:21:22.469
this a positive experience for me and
for the person who's about to listen

00:21:22.469 --> 00:21:24.179
to me and have a conversation with me?

00:21:24.639 --> 00:21:28.769
Matt Abrahams: This notion of connection
and engagement through the energy you

00:21:28.769 --> 00:21:31.089
bring to your topic is really important.

00:21:31.229 --> 00:21:35.119
There are people who study things
that I don't understand and prior

00:21:35.119 --> 00:21:37.689
to hearing them talk about it or
write about it, I didn't care about.

00:21:37.989 --> 00:21:41.529
But their passion and their ability
to connect it to me and make it

00:21:41.529 --> 00:21:43.199
engaging makes a big difference.

00:21:43.199 --> 00:21:43.679
Russ Altman: I agree.

00:21:44.119 --> 00:21:45.389
Matt Abrahams: Russ, thank you so much.

00:21:45.389 --> 00:21:50.059
You did an amazing job of educating us
and keeping it engaging and interesting.

00:21:50.099 --> 00:21:50.929
I appreciate it.

00:21:51.539 --> 00:21:55.179
All of us can learn from you in
terms of how to connect with our

00:21:55.179 --> 00:21:59.479
audiences, manage some of the tricky
situations through questions and in

00:21:59.479 --> 00:22:03.009
structuring our environment so that
we can take the advantage of conflict.

00:22:03.389 --> 00:22:04.529
I appreciate your time.

00:22:04.839 --> 00:22:06.239
Best of luck on the podcast.

00:22:06.339 --> 00:22:06.779
Thank you.

00:22:06.929 --> 00:22:07.649
Russ Altman: Thank you very much.

00:22:07.649 --> 00:22:11.039
I really enjoyed this, and
congratulations on your successes.

00:22:12.869 --> 00:22:14.979
Thank you for joining us
for another episode of Think

00:22:14.979 --> 00:22:16.839
Fast, Talk Smart, The Podcast.

00:22:17.329 --> 00:22:19.359
It was great learning from Russ.

00:22:19.599 --> 00:22:23.489
One of the ideas that really resonated
with me is that AI is most valuable

00:22:23.499 --> 00:22:28.609
when you use it to help complex ideas
become easier for others to understand.

00:22:29.089 --> 00:22:32.589
To learn more, please be sure to dive
into our library of past episodes

00:22:32.589 --> 00:22:34.289
wherever you get your podcasts.

00:22:34.659 --> 00:22:38.429
Our back catalog is full of helpful
communication tips and tools to

00:22:38.429 --> 00:22:40.539
help you be a better communicator.

00:22:41.029 --> 00:22:45.719
This episode was produced by Katherine
Reed, Ryan Campos, and me, Matt Abrahams.

00:22:45.949 --> 00:22:50.179
Our music is from Floyd Wonder with
special thanks to Podium Podcast Company.

00:22:50.479 --> 00:22:53.669
Please find us on YouTube and
wherever you get your podcasts.

00:22:53.739 --> 00:22:58.519
Be sure to check out fastersmarter.io
for deep dive videos, English language

00:22:58.519 --> 00:23:00.839
learning content, and our newsletter.