Moonshots with Peter Diamandis - EP #25 How to Build a Moonshot w/ Astro Teller
Episode Date: January 26, 2023In this episode, recorded during the 2022 Abundance360 summit, Astro Teller presents the wireframe for building and executing Moonshots and the power of turning crazy ideas into breakthroughs. You wi...ll learn about: 09:57 | What’s a Moonshot? 13:32 | How to build a Moonshot Culture 15:53 | We can’t all be right. 22:47 | The “monkey first” strategy Dr. Astro Teller's expertise lies in intelligent technology as the CEO of Alphabet's X, The Moonshot Factory. X is a company dedicated to bringing extraordinary, audacious ideas to reality through science and technology. He was previously the founding CEO of Cerebellum Capital. _____________ Resources Visit X’s website. Learn more about Abundance360. Read the Tech Blog. Learn more about Moonshots & Mindsets. _____________ This episode is brought to you by: My executive summit, Abundance360 Levels: Real-time feedback on how diet impacts your health. levels.link/peter Consider a journey to optimize your body with LifeForce. Learn more about your ad choices. Visit megaphone.fm/adchoices
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That's the sound of unaged whiskey transforming into Jack Daniel's Tennessee whiskey in Lynchburg, Tennessee.
Around 1860, Nearest Green taught Jack Daniel how to filter whiskey through charcoal for a smoother taste, one drop at a time.
This is one of many sounds in Tennessee with a story to tell.
To hear them in person, plan your trip at
tnvacation.com. Tennessee sounds perfect. Your idea is probably wrong. Whatever it is that
you're currently really excited about, if it's a moonshot, it is probably wrong.
It doesn't make any sense for you to be trying to do something radical and yet to believe
that it is almost certain to work.
That breaks the basic concept of radicalness.
And a massive transform to purpose is what you're telling the world.
It's like, this is who I am.
This is what I'm going to do.
This is the dent I'm going to make in the universe.
It's a pleasure to share with you a conversation I had with the captain of Moonshot's Astro Teller.
Astro Teller is the grandson of a Nobel laureate and the grandson of the gentleman who created the hydrogen bomb. He is brilliant in his own right. And he's the person who has started
thousands of companies under the alphabetphabet Moonshot Factory.
You know, if there's one person who can really tell you what a moonshot is,
we're going 10 times bigger on the planet than anybody else is.
It's Astro Teller.
So join me for a wide-ranging conversation and a how-to,
a masterclass on creating a moonshot organization. Until just now, Steve Jurvetson had the record for the weirdest, creepiest introduction of me ever,
and you just broke the record. Congratulations. That was really uncomfortable.
I feel special about that. I'll try and outdo it next time.
Speaking of uncomfortable, I'm going to try to do what I can to make you a little uncomfortable today,
including maybe convincing you that being uncomfortable is an important part of the process.
But let's start with a thought experiment.
Follow me here. We're going to come back to this.
But imagine an infinitely long room of slot machines. And every slot machine has many, possibly an infinite number of sub arms on it.
And all you know going into this infinitely large room is that each slot machine is different.
It has a frequency.
It pays out one in K times.
And so slot machine number 17 might pay out one in 100 times, slot machine
number 250 might pay out one in a million times.
But you don't know which is which.
They all range in how often they pay off, and they all range in how much they pay off,
and you don't know that either.
One could pay off a dollar when it finally pays off.
One could pay off a billion dollars.
You do know that the little sub arms are in a tighter distribution around the
payoff. So they'll all be a somewhat different, but near the general payoff of that overall slot
machine. That's all you get to know. You walk into the room. What are you going to do? Are you just
going to pick slot number six and be like, I got a good feeling about slot machine number six,
and just sit there and pull it forever?
Pull one arm on that machine forever?
Maybe pull lots of arms on that machine forever?
You could just go down the line forever, just pull one arm each time,
just keep walking down that infinite hallway.
You're trying to make a lot of money in this thought experiment
over a very large period of time, maybe many years, many decades even.
Going down that hallway and only pulling each one once, you're not really going to learn
anything.
That's kind of random.
That's just gambling.
If you stay with one machine and you just pull it forever, that's also just gambling.
There's a right way to do this game.
You would pick some of the machines and you would start pulling maybe the closest arm
in each machine or a random arm on each machine and you would do it 10, 20, 100 times for
each machine and you would start gathering statistics.
Oh, it looks after 100 polls like number 17
is better than number six.
I'm gonna give up on number six.
I could be wrong.
It's possible that number six will just pay off better
over the long run, has a higher expected utility,
but the statistics I'm building up
are starting to make it look pretty clear
that 17 is better than six.
And you might start, you add another one, okay, we were
only on 200, now I'm going to add 201 to the list of slot machines I'm going to be playing.
There's a right way to do this if you're a computer scientist. This is an extension of
a game called the K-armed bandit problem. You can go look it up if you want. But I'm
going to come back to this thought experiment. The problem is that we are taught,
starting when we're about six,
to exploit, not to explore.
And innovation is a game of exploration.
It is guided, thoughtful, purposeful exploration.
But that is not what happens.
A moonshot is an attempt to do radical innovation and yet almost all efforts that look anything like a
moonshot start with somebody walking up to a random machine, I got a really good
feeling about this, I've thought about it hard and I've convinced myself that slot
machine number 17 is the one and they just sit there and pull the arm over and over and over again.
That was a moment of what felt like insight.
I argue it's not.
I think we're all essentially no better than random.
I'm sorry, Eric Schmidt, from last night.
I think we are, all of us, including me, including Eric Schmidt,
including all of you, no better than random at predicting the future.
I know you feel like the slot machine you're standing in front of
is the right one.
You've got great reasons for it.
But everyone's got great reasons for their things.
And I don't think that there's any evidence
that any of us are any better than random
at which slot machine we end up in front of.
And everything you've been taught since you were six is to
exploit. No one gets patted on the head for running an experiment in a really good way. You only get
rewards since you were six years old for whether you got a win, whether you got an outcome that
somebody can reward you for. It's the opposite of exploration and it's the opposite of seeking to do
radical innovation efficiently. If you stand in front of slot machine number
seven and you pull it a lot, you could get lucky. That could be a great slot
machine. I'm not saying that the slot machine you might be parked in front of
is a bad slot machine. It's just gambling. So what I'm going to try to talk about today is the card counting version of innovation, not
the gambling version. X is an experiment. We'll see how well it goes. I think it's
going pretty well so far. But it is also a factory for running experiments. Our
aspiration is to create really great things for the world
that also have great value for Alphabet. That's our mission at X. And I believe that the best
way to do that is to send people out, not to build businesses, but to buy options on
the future by very carefully, thoughtfully, methodically running great experiments
that answer the question, how promising is this particular moonshot?
How promising, with respect to that thought experiment,
is this particular slot machine I'm standing in front of?
And if at some point the statistics start to make it look
like that particular experiment, that particular proto-business,
this option that might someday become a business at Alphabet, is looking less promising on a reward-risk
ratio than the other things we could try.
I know it could still work.
I love it that you're excited about your teleporter project.
But if the reward-risk ratio isn't as good, if the evidence isn't mounting that it's possible
that it's going to have positive techno-economics,
let's stop.
Let's go on to a different experiment,
to a different slot machine in that thought experiment.
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So a moonshot is a structured what-if that has these three fundamental aspects to it.
Number one, is there a huge problem in the world that you want to solve that you can describe clearly?
If you don't have that, I would argue it is a fundamentally academic exercise.
So if you have a frictionless surface and you're very excited about frictionless surfaces, If you don't have that, I would argue it is a fundamentally academic exercise.
So if you have a frictionless surface and you're very excited about frictionless surfaces,
I applaud you for having created a frictionless surface, but it is not yet clear why we should
spend time on frictionless surfaces.
You have to describe the problem in the world you want to solve.
Number two, there has to be a science fiction sounding product or service,
however unlikely it is that you could make it, that your team could make it, that if you made it
would make that huge problem better or make that huge problem go away entirely.
You might not be able to, but it has to be science fiction sounding because if it's not,
be science fiction sounding because if it's not, then everybody else is trying with you and that means you are in a smartness competition, in a spending money competition with the rest
of the world.
You may want to get into that competition, but that's a competition I would like to avoid.
And number three, there has to be some way to get started.
If we're serious about experimentation,
and you say, I'd like to make a time machine,
sure sounds like a science fiction sounding thing to me,
and here's all the problems in the world we could solve with the time machine,
my question would be, okay, what's the hypothesis we can test
and get a first glimmer of whether your idea is real or not
now,
like in the next six months, not the next 20 years.
Time machine is a weird side effect.
Maybe as long as you solve it, you could come back
and just tell me it's working now, yesterday, I guess,
but for the teleporter, let's say.
So you have to have these three things in order for it to be a moonshot,
at least at X. So we've had about 2,000 what-ifs at X over
the last 12 years. And believe me, there were tears for all of the ones that we closed down.
Sometimes the tears were small, sometimes they were pretty big. And I'm being serious about this.
It hurts to turn off an experiment that you have become passionate
about. And we need to work on things with great passion or we won't be clever and creative about
them. But we also have to stop and be dispassionate and assess the results of those things in order
to say, is this one really that special or should we stop it in favor of better experiments?
So what if cars could drive themselves, became Waymo, which is now an other bet at Alphabet.
What if we could reinvent the way goods are delivered, became first a project at X as Waymo
did, now an other bet called Wing, which is also at Alphabet.
Here's some examples of ones you may not have heard of. These are still at X.
Tapestry is our moonshot
for trying to reinvent how the electric grid works.
Mineral is a moonshot that we have
in computational agriculture.
How could we take care of plants on a per plant basis
instead of on a per acre basis?
And Tidal is ouronshot in Ocean Health.
Those are just examples. They happen. Those ones happen to be going well right now.
But for every one of those, there are literally a hundred that sounded that great beforehand that
were like, no, that one's not going to work. Moving on. So how to build a moonshot culture.
Here's my first tip.
And I want to be clear as I give you these tips.
There is no rule book.
I cannot give you, and to their great frustration,
I cannot give the people who work at X a set of charts and rules to follow.
You will make a moonshot,
you will be a great Xer if you do these things.
Check, check, check.
It doesn't work like that.
Doing moonshots requires enough creativity.
It is as much art as it is science.
It is as much about the playful side of us
as it is about the critical side of us.
And unfortunately, that means that these tips that I'm going to give you,
I think that they're important,
but they're rules of thumb.
The first one is aim for 10x, not 10%.
You've probably talked about that a bunch here.
The two most, there are a lot of reasons why to do this.
There are a lot of fixed costs
in starting up something, for example,
and you can't overwhelm them
if you're shooting for something small.
But the two, there are lots of things that are like that're shooting for something small. But the two...
There are lots of things that are like that, that are more pedestrian.
But the two most important ones,
number one, you set people's hearts on fire
when you get them excited about really changing the world,
about shooting for something huge instead of something small.
And that passion converts into a lot of incremental energy, creativity, stick-to-it-ness that can turn out to be the things that help you discover what would cause this thing to work.
And the second one, maybe even more important, is if I ask you to make your car work and go a little bit farther on a gallon of gasoline, you'll say, okay.
car work and go a little bit farther on a gallon of gasoline, you'll say, okay, and you'll go to the car as it's currently working and see if you can tinker with it to make it a little bit more
efficient. But if I ask you to make your car go 10 times as far on a gallon of gasoline,
you know you have to start over. It won't work for you to tinker at the edges with the current design. And so 10x
thinking is a fundamental reminder, often unconscious, to the teams. You must start
over. This is not a smartness game we're playing. This is a creativity game that we're playing.
And that requirement of 10x instead of 10% is a reminder to them to do that. Now here's the bad news.
Don't worry, it's going to get a little bit better.
Your idea is probably wrong.
Whatever it is that you're currently really excited about,
if it's a moonshot, it is probably wrong.
It doesn't make any sense
for you to be trying to do something radical
and yet to believe
that it is almost certain to work.
That breaks the basic concept of radicalness.
You can't all be right.
I can't be right more than 1% of the time.
I don't think Larry or Sergey or Eric Schmidt or anyone can be right more than about 1%
of the time if you're trying to do things that are really radical.
That's tough.
But I think it's true.
There's some good news, though.
You can be efficient about how you filter your ideas.
Just because you can't be better than random at coming up with one of which slot machine
we should try next.
You can be very thoughtful about how you take the statistics on all of those slot machines,
on all of the moonshots that you could try, or if you have an organization that has the
ability to try many moonshots, you can be organized and thoughtful about running experiments
and keeping statistics and making wise, hard, dispassionate
choices about which things to stop and which things to keep going on. That you can do. That
you can be much better than random about because most of the world is doing it randomly. That's
the opportunity. It's depressing. I understand how fun it is to feel like the teleporter's going to work.
Every entrepreneur is taught that if you just jack up your excitement about your thing through the roof,
that somehow that will solve your problems.
But no amount of excitement makes it any more likely that the teleporter is the right solution.
It's tough.
likely that the teleporter is the right solution. It's tough. Now, if you don't, this is why I've set up a moonshot factory because I have been an entrepreneur. I have run a hedge fund. I understand
both sides. And I'm telling you that the environment is inefficient on both sides. It can work. I just
don't think it's efficient. That's why we set up a moonshot factory. But if you are in a situation
where your cards have already been dealt,
you are into the teleporter project,
and believe me, I get it.
You want to walk up to that machine
and start pulling and seeing
whether that's a great payoff,
your teleporter project
or whatever that slot machine is for you.
But it's probably cost $100,000
every time you pull the arm
in your startup.
So you have to go convince someone to give you
like $10 million so you can pull that arm enough times
to figure out whether it's going to work.
So you have to tell them, hey, I'm no better than random.
You should give me $10 million.
No one's going to give you $10 million if you say that.
So you don't tell them that you're no better than random.
You say, this is the one.
And I know, here's my all my
Slides about why it's better than everything else and then they give you ten million dollars
But now you're really in for it
You just took ten million dollars of their money you better stand in front of that machine and just keep pulling the arm
Even if it's not looking really good. You're just like it's gonna be there. It's gonna be there
Trust me, and you just keep pulling the arm
But it's turtles all the way down in the
following sense. Even if you're committed to your teleporter, and it could be right, I'm not saying
it can't be right, I just don't think it's efficient way to pick which slot machine to stand in front
of, you can still do what I'm describing within your effort. For what products you make, for what features you add, for what customers you
prioritize. You can run experiments and you will find that what I'm talking about is just as
uncomfortable to really do this, not pretend do it, but to be dedicated to experimentation as the way
to solve your problems. Even at X, like seriously, in the last couple of months,
we did a survey across all of X,
and there were a good number of people who said,
I don't have time to run experiments.
I'm too busy doing my job.
I guarantee you, I've been ranting like this to them
on a weekly basis for 12 years.
Experimentation is your job.
There is no other job.
That is how we solve our problems.
Milestones aren't something we shoot for.
They are hitting milestones as an accidental side effect
of running great experiments in really thoughtful ways
and being dispassionate about the outcomes.
Being a lifelong learner, which takes us here.
Tip number two.
What I'm explaining is pick smart experiments to one, ones that have high expected utility
like the slot machines.
It doesn't matter what the frequency is or what the payoff is it matters whether the expected?
Utility of pulling that arm is better than any of the other arms you can find that's what you're looking for
That's a smart experiment so you can design one of those in the real world
What is that experiment you're going to run to tell you whether the teleporter might be a great idea or a bad idea?
And I don't care whether it's a great idea or a bad idea.
I am not paying you to make the teleporter work.
I am paying you to answer the question,
is this thing, the teleporter,
have a chance of being one of those very small number of things
that could really change the world? And the answer no is just as good as the answer yes.
That is the honesty at the end of an experiment.
If you don't believe that the answer no is just as good as the answer yes,
you fundamentally aren't running an experiment.
That's the whole point of an experiment is you don't care what the outcome is.
So we need people to become lifelong learners.
And the number one reason that we aren't lifelong learners is because you don't learn from confirmation bias.
We spend all of our time trying to get everyone to tell us
we're right about everything.
We seek out reasons to find out that we're right about everything.
And you don't learn anything from that.
You learn when you're wrong.
Failure is the only meaningful mechanism for improvement
on whatever it is that you're doing.
And yet it's the thing we avoid.
It's the ultimate no-no.
So if you want your team to be obsessed with learning,
which I believe is the only way to be obsessed with winning,
then they need to find failure. The answer,
nope, there was nothing under that rock when they turned it over, to be something they can say with
active pride. So how do you do that? So here's one of the things that we try to use at X,
which is monkey first. I've said this kind of as a joke about four or five years ago
at a Wall Street Journal live conference,
but it sort of stuck at X.
Someone was saying, because I always say,
work on the hardest parts of the problem first.
And the interviewer said, what do you mean, Astro?
And I said, look, if you were trying to train a monkey
to stand on the top of a 10-foot pedestal and recite Shakespeare,
what should you do first, train the monkey or build the pedestal? You should train the monkey first, because if you
get the monkey working and the poor little monkey standing down here, we can definitely get a
pedestal for it. If you build the pedestal, you have made zero progress at de-risking the situation.
But go look in your organization.
It is littered with people frantically building pedestals
and asking you for a bonus and a promotion
because of the gorgeous pedestals they've just built for you.
Because you reward them accidentally,
I know you don't do it on purpose,
for the pedestals that they built. It feels kind of like progress was made,
but they haven't been running at the risk, and the risk is the
only interesting thing if you're obsessed with finding out as fast as
possible whether you're on the right path.
If you have decided we gotta go down this path no matter what until
you know there's like fiery hell at the end of it my guess building a pedestal puts off bad news for a while
So it sort of makes sense
Here's another one
If you hire world-class people which we certainly try to do at X. I hope you all do
The smarter they are the more talented they are the more they have learned, I'm really good.
I do things right the first time
because I can think it through and figure out what the right answer is.
But the definition of a moonshot
is that it resists people thinking through the solution.
You are not smarter than everybody else.
Whatever it is you're working on,
the answer has to be counterintuitive or it's not a moonshot.
If it's not counterintuitive, other people who are at least as well-funded as you, who are at least as smart as you, would already be doing it.
So when you have a group of people who are trying to help you, their attitude,
I know what to do because I'm very smart, isn't just a mediocre idea, it's an actively destructive idea.
So you have to build into your culture an excitement around version zero dot crap.
We want to get into the tightest learning loops possible, which means I want you to
go make the worst possible experiment, the crappiest, barely held together with duct
tape experiment
you can think of, run it as fast as you can thoughtfully but in a scrappy way
that just barely gets us data of some value and meaning. And we will use that
data in a tight loop to go do it again. Because if you spend one extra day past
that point on this, you're kidding yourself. You think you know
what the right answer is. We're not going down that path. This is part of training individuals
and also teams to be lifelong learners. So this is tip number three.
No one of us has all of the good ideas. No one of us could possibly by ourselves
do what a great team could do.
And a great team
made up of 20 Astros
is arguably worse than one Astro
because now we have to coordinate
with each other and we still only got
one Astro's worth of ideas on the team.
What you want is
people who think as differently as possible.
On all possible fronts What you want is people who think as differently as possible. On all possible
fronts, you want people who are honest and vulnerable and creative with each other, but are bringing to the party, huh, I hadn't thought about it that way. That's what everyone in
the team should be saying when anyone else opens their mouth on the team almost constantly,
because that's what's going to cause you to look in unexpected, uncomfortable places for the solution.
And I guarantee you if you're working on a moonshot, the moonshot solution is not sitting
there obvious out in the open and it's going to take somebody whose expertise you're not
quite sure why you have on the team until afterwards and you're like, oh my God, thank
God we have a puppeteer on the team.
Thank God we have a concert pianist on the team. Thank God we have a concert pianist on the team.
Thank God we have a marine biologist on the team.
Thank God we have somebody who lived in Ghana
for the first two-thirds of their life.
Whatever that is, they're bringing things to your team
that the rest of your team wouldn't have thought of,
and that's the magic of making a team
that's more than just the smartness of the individuals.
Part of what I think causes something really great to happen in making moonshots is it's
not just that we fail and we move on, but we've learned things in the process.
The people we keep, they recirculate through the factory, but what they bring with them is the
memories of all of the things that we've tried, and that compost, as we call it, of all of our
failures, and why it didn't work, and the little bits. We're like, oh shoot, this is an awesome
moonshot, and we're going to have to kill it, because right in the middle, like the engine is
driven on unobtainium, and nobody can find any unobtainium.
I guess we're throwing that moonshot away.
But then if we find some unobtainium later,
we hope that someone's like, wait, you remember that thing that we did before
that was like awesome except that we didn't have any unobtainium?
Why don't we go get that out of the freezer?
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Peter for your discount so I'm just gonna use two examples here very briefly
but this is true of most of our things for the three pictures I showed for you
before our moonshot for the electric grid, our moonshot for agriculture,
and our moonshot for ocean health,
when we look back, we can trace very directly,
there's probably more than this, very directly,
a whole bunch of things that didn't work out.
Things where we tried to grow seaweed in the oceans,
whatever that was, vertical farming,
each of which didn't make it for a variety of reasons, where we tried to grow seaweed in the oceans, whatever that was, vertical farming,
each of which didn't make it for a variety of reasons,
but those ideas, the opportunities, and some of the people,
by staying at Exxon recirculating,
eventually turned into something
that looks incredibly promising.
So moonshot composting, finding value from what didn't work,
which is related to the idea of celebrating failures,
is part of our superpower. Here's one of my favorite examples. Loon, which just closed down
after nine years, one of the most painful close downs that we've had. I was very excited about it
for a long time. It was the right thing to do to close it down. One of the problems they were
trying to figure out was how to send, it was basically beaming 4 and 5G down to the ground so people could talk to handsets all over the world, even if there was no telco infrastructure nearby.
But the balloons had to talk to each other and had to talk to the ground, and there was a period during which we weren't sure whether a collimated RF, kind of like a laser but made from radio frequencies, or made from light light was the right way to have these balloons
talk to each other at very high frequency. There was this wonderful moment where we actually had
the balloons up and running talking to each other with lasers and we were bouncing the movie Real
Genius back and forth between two balloons that were like 100 kilometers apart between these two
lasers. Loon was closed down but in the process Tara, which is another moonshot that we have for bringing connectivity to the world,
harvested those lasers from the balloons and are now doing terrestrial lasers where if you take something the size of a traffic light,
strap it to a pole up to 20 kilometers away, you can get fiber speeds with less than 1% of the cost of trenching fiber between those two
places. It has to be line of sight, but there are a lot of places that are up to 20 kilometers away
that have line of sight with each other on poles and towers, etc. This is being rolled out in India
and Africa right now, and I'm super excited about this. And it is partly thanks to Loon where we
stopped what wasn't working
but saved the parts that were great compost for the next opportunity. So I've
said these three things as tips for you to think about but before you get too
excited about the tips I want to tell you the truth. The tips are the easy part.
I mean those tips I think they're real. But here's the thing. Telling your employees what to do doesn't work very well. I tell them secretly, implicitly, is what you
actually want.
It is the thousand signals that you send to them about what you really want that is what
they line up behind.
And what I'm describing, it's very simple, but it's unbelievably hard to get people to
do this because it's so counterintuitive.
They will only do it if you send them those thousand signals.
So here's an example or two for you.
In our front lobby, when you come in,
we have a bunch of glass cases
with some stuff that we've built.
This is the first one.
That looks bad, but that's the point.
We celebrate learning.
We celebrate experimentation.
This is one of the first
payloads that Loon had. We don't care to make it cool or to celebrate the outcome.
We are celebrating the process. When we hire someone, we don't ask Xers, after you
interview somebody, tell me about their IQ.
How many people have they managed?
How many people have they fired?
How much money did they make for their last business?
Don't care, don't care, don't care, don't care.
These are literal questions that we ask Xers
to rate these people on when we're considering hiring them.
I want you to think about what are the things
you actually ask your interviewers
to rate the people who are coming in.
Because is it things like creativity and humility,
a growth mindset?
This isn't a complete list, but these are important ones
that we ask them to rate it on.
This is what we think drives people being great
at taking moonshots.
And when it comes time to promotion, we bring this list back out again.
If you show up to promotion and you write a long, like, I did this and I did this and I got all these great outcomes, not interested.
You have to celebrate the process, not the outcomes, or no one will run an experiment.
Why would you run an experiment that has a 1% chance of succeeding
if you believe that you're going to get promoted
only if you get a yes to the experiment you run?
No rational person would do that at a business.
So we make sure that when it comes time to promotion,
people understand at X,
it's about the journey of learning and experimentation that they will be judged on, not the outcomes that they
got.
There's another one.
You have to wire into your culture the things that are important to you.
So, for example, Google has what they call Googleween.
It's like Halloween every year.
And we don't do that.
We celebrate the Day of the Dead, Dia de los Muertos.
Our cultural alchemist, whose name is Gina Rudan,
has helped us use the Day of the Dead celebration
as a way to think about the people who've gone in our lives,
but also to grieve all the projects that we've let go.
And it tells people at X, we're serious about your emotions. We understand that it's painful.
Let's go through the grieving so that we can move on, which is an important part of the process.
So, I wish I could leave you with what's your moonshot. I hope you have one, I hope you're working on it,
and I certainly wish you well.
But this is what I'm actually going to leave you with
before I transition to questions.
How ready are you to savagely attack
the thing that you're working on?
To find out whether it holds up to those attacks.
How badly do you really want to know if your thing has an Achilles heel?
If you don't, I understand.
But you're probably going to find out later,
even if you don't find out now.
I would encourage you to get excited about finding out
if there's an Achilles heel,
find out now.
And you want your employees to be just as determined,
just as excited to find that Achilles heel,
and they won't if they don't run experiments,
and they won't if they don't believe that you will reward them
for running the experiments that are the highest risk,
and then being honest about the results.
So, I hope you can find it within you to savagely
attack your darlings, the things that you're working on that are most precious to you,
not because it causes success in the short run, but because it's the most efficient way
to make moonshots in the long run. I hope that you go out there and make good trouble every day.
And I hope that every step on your journey is uncomfortably exciting. Everyone, this is Peter again. Before you take off,
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