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This isa story of planetary hope
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inspired by one of thebiggest ideas of the century,
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the fate of our planet maydepend on a new food science
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that grows real meatdirectly from animal cells
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without the need to breed,raise, and slaughter animals.
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Let's face it, conventionalanimal agriculture
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is wreaking havoc,
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it occupies nearlyhalf of the world's land,
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produces huge amountsof greenhouse gases
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and there's a potentialbreeding ground
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for health pandemicslike COVID 19.
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With meat consumptionexpected to double by 2050,
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we urgently need solutions.
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Welcome to the nextagricultural revolution.
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This is the first time a
meatball has ever been cooked
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with beef cells that did not
require a cow to be slaughtered
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This has been something
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that I've been dreaming
about since I was a kid.
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Thinking about the impact on
human lives and animal lives
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and the ills of food production.
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It's been ten years
since I finished training
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in cardiology at the Mayo Clinic
and wanted to be able to pursue
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an idea of can you grow
meat from animal cells
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and I'm extremely fortunate to
have the support I have at home.
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My wife and kids are being proud
of what I am doing.
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Over the last few years
we spent a lot of time
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talking about what if
your dad started this company.
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And if we had to move,
how would it look like?
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It was extremely hard for us
even to have the conversation
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because I'm a very involved dad.
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The last year has
been determined
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by the amount of
changes in our lives.
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So you know, I
founded the company
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built an amazing team here.
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I quit Cardiology, operating
from my home in Minnesota.
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I've never been away from home
more than 20 days a year.
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In the last year,
it's been like
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250 days or something so.
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It just went up in magnitude.
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And I can see it
only getting busier
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and I can see that you know,
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this requires that I'm under
someone to focus, and passion.
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We just have to keep trying.
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Hi, Jason. Can you hear me well?
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Yes, I can.
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And how do I sound to you?
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You sound clear.
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Okay, great.
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So let me make sure I'mpronouncing your name, right.
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Dr. Uma Valeti, Right?
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That's correct.
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How muchfunding did you take on?
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Is this venture backnow or give us some idea?
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So this was
founded by Nick and myself
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and Will from Memphis
and the three of us,
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we raised about $3.1 million.
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We had a venture capital
group called Indy Bio
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that funded us.
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Okay, this will bean edit, so just a moment.
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What type of doctor are you?
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I'm a cardiologist.
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Okay, oh great. Let's just, let's just dive in and do this.
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It's my pleasure towelcome Dr Uma Valeti.
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He is CEO of Memphis Meats.
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So Uma, lab grownmeat brings to mind
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Frankenfood,playing with nature.
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All of this kind of stufftake us through the process
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of how you growmeat in your labs.
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Yes,
so let me just preface this
by saying we are not calling
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this lab grown meat
because there is
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confusion out
there that 'are you
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making this
from plant proteins?'
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'Are you synthesizing
something?'
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What is this?
This is authentic meat.
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But when yousay it's authentic meat
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I just beg to differwith you, maybe.
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Just correct me if I'm wrongyou are engineering it.
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It's not. It's not completely
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natural, if you will?
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So we take cells
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from whether it's a cow, a pig
or a chicken
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then we provide
them with rich nutrients
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these cells grow and
become meat tissue.
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So that's the process
of making the meat and...
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Okay, okay.But I want you to explainwhat's happening here.
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I mean, are youbasically cloning meat?
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Right? Is thatwhat you're doing?
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So we
are not cloning anything.
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We are growing these cells.
So these cells are growing
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and becoming muscle tissue.
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Look, we are
pioneers in this area.
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We're starting this on
the commercial side,
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But, it's so funny,like you have to change
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your thinking andyour vocabulary to evendiscuss the subject.
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It's just suchan odd new concept
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This is a real mind blower.
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This is a huge shift.
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I would like to be an investor
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because I have afeeling this might be
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one of the biggest ideasin the history of the world.
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So we literally
moved into the space
about four and a half weeks ago.
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You know it will take another
four to six weeks
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to get this place up and running
and that creates a sense of
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restlessness in me and
Nick and you know everybody
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on our team because, you know we
want to get going like yesterday
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I know eventually
the speed at which
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we can come to the
market is going to be
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a function of funding
and I think it's our goal
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to keep printing when we can,
take brief periods of rest
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and then start printing again.
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So operations update.
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Right? This is the key for us.
The focus for April will be
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for all of us is to
get up and running.
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And I'm thinking we should
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look at the farm,
the large equipment
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or the small equipment, and
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you know what you have in terms
of timelines for those.
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There will be lots of,
you know, challenges we have.
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Of course, there are challenges.
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It's never been done
in the history of the world.
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But I think we are
taking the first step
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and I think this first
step is going to have lots
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and lots of people also
join us in that step
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and we feel like we're going
to kick start a revolution.
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I have always had an interest in
my social justice issues,
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environmental justice issues.
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Pretty much my whole life all I
wanted to do was be a chef
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and I wanted to focus on meat.
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About half way through college
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and I was like, no
more basketball.
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I need a career. I love
science, I always have.
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What I get really excited about
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is engineering biology.
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So my training is in
biomedical engineering.
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I was actually
a tissue engineer.
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I learned about some of
the animal welfare implications
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of animal agriculture, and that
was kind of what did it for me.
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I learned a lot
about factory farming
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and the conditions
that animals are kept in.
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The impact it has
on the environment that I
just had no idea about.
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I took an
urban agriculture class
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that really opened my eyes to
what we were doing to the planet
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just by feeding ourselves
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At first, I actually thought
it was
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kind of strange because
I had been very ingrained
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in the medical applications,
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and then I started reading
more about it.
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Uma Valeti wanders across my
Facebook feed with a meatball.
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My brain exploded
and I was like, 'I have
to talk to these people'.
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Yeah, it's like I got
to be a part of this.
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Like I have the skills.
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Assert yourself
and it will happen.
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Basically. Pretty much.
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I thought this could be a really
great way to change the world
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and incorporate
my love of science,
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but also my desire
to make cool stuff.
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That's kind of my story of
way, why and how I got here.
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So these are the samples of live
tissue.
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Billions of cells in this
tiny portion right here.
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These ones are called punch
biopsies, where a large needle
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essentially is inserted in
the animal
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and takes out
a small cylinder of tissue.
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The taste, texture
and flavor of meat
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is a combination
of manufacturers.
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It's not just muscle
cells, it's fats.
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It's connective tissues.
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It's all sorts of things. And
we're taking those small
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samples of meat or tissue apart
so we can better understand
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the different components and
use that to build our product.
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These are very precious
biological samples
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which are going to
give us huge insights
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into the biology of the animals.
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And these are stem cells sources
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for future products.
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These small tissue samples
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will produce extremely
large amounts of meat.
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Traditionally in tissue culture,
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one of the elements of the food
that you're giving the cells
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is fetal bovine serum.
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If you start with
fetal calf serum,
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essentially, you're
starting with this perfect
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rich broth of awesome
stuff that is designed
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to make things grow and thrive.
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But one of the scientific goals
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of the company right now
is to eliminate any animal
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derived product from our
process as soon as possible.
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We want to separate the
animal from meat making.
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To develop a consistent
media with no animal derived
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components in which our cells
could thrive at a large scale.
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That would definitely be a...
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really great moment
for our company.
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It would probably be
a while before we announced
that that had happened.
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because you want there to be a
lot of internal validation.
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There are all these systems that
animals have been building up
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through
millions of years of evolution
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and that includes a digestive
system and an immune system.
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So in some ways, cellular
agriculture is more simple
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because you're just focusing
on this one part of the animal.
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Instead of saying, you know,
all I want is the Tenderloin.
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But I have to grow the liver,
too but it's also a little
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bit more complicated
because you need to
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engineer these systems
to protect the cells.
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And you know, engineer
sounds like a big word,
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but it's just like figuring
out what's the best fence
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to keep the cow in
but keep the wolf out?
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except kind of in a more a,
more modern environment.
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It's what's the best fence
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to keep the bacteria
out of our cells
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but keep the cells healthy
without using antibiotics
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because that's a major concern
with current animal agriculture.
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The whole goal here
is to make cells exist
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in a bioreactor.
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So it's like what you
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would grow yeast in if
you were making beer.
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So we're going to take cells
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and put them in an
artificial environment
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so that they can
grow and proliferate.
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There are known
ways of producing animal muscle
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in a laboratory.
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The science is established and
lots of people have studied it.
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What we're looking
at is chicken,
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the sort of structure,
the typical structure
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of chicken.
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I am still blown away by how
complex the tissue itself is.
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All poultry is very similar
and these are very early
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00:14:08,935 --> 00:14:11,241
in the process, so they
haven't completed anything yet.
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00:14:11,894 --> 00:14:14,723
But you can see it's starting
to adopt this sort of...
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00:14:14,766 --> 00:14:16,507
it looks like a Van
Gogh like "Starry Night".
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00:14:16,551 --> 00:14:18,422
The muscle fibers
are trying to align
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00:14:21,208 --> 00:14:22,731
and form these
beautiful tendrils.
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This is a huge,
huge paradigm shift.
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This meat production depends on
the division cycle of the cell
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00:14:37,572 --> 00:14:42,098
rather than the reproductive
cycle of the animal.
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00:14:46,059 --> 00:14:49,366
This was a goal that for
many years I sought out,
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00:14:49,410 --> 00:14:51,934
but there were no like-minded
individuals or resources
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00:14:51,978 --> 00:14:53,153
to support this goal.
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00:14:54,589 --> 00:14:57,331
Uma was very passionate,
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00:14:57,809 --> 00:15:02,423
and we both took a leap of faith
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00:15:02,989 --> 00:15:05,252
and decided to start a company.
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And use our complimentary
areas of expertise.
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00:15:10,953 --> 00:15:15,827
You know his business
in administrative expertise
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00:15:15,871 --> 00:15:17,612
and my scientific expertise
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00:15:19,266 --> 00:15:22,095
driven by the same
mission, the same motivation.
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00:15:27,100 --> 00:15:30,320
You know, personally
growing up in a family farm,
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00:15:30,364 --> 00:15:32,714
I would raise the animals
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00:15:33,454 --> 00:15:37,588
and they looked up to me for
their care and their protection.
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00:15:37,632 --> 00:15:40,983
I was their guardian.
And as their guardian,
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00:15:41,027 --> 00:15:44,334
I sent them to auction...
I sent them to auction,
249
00:15:44,378 --> 00:15:46,206
and I sent them to slaughter.
250
00:15:47,120 --> 00:15:54,170
And this... after doing
this for a couple of years,
251
00:15:54,649 --> 00:15:57,217
I realized this is a problem.
252
00:15:58,653 --> 00:16:02,962
So I wanted to be
part of that solution.
253
00:16:07,227 --> 00:16:09,881
So this is a conventional beef
from a local store
254
00:16:09,925 --> 00:16:11,840
to compare against our product.
255
00:16:19,500 --> 00:16:21,458
We want to make sure
that whatever we're giving
256
00:16:21,502 --> 00:16:24,548
to consumers is the same
as what they're used to.
257
00:16:24,592 --> 00:16:26,028
And when they
get it in their hands
258
00:16:26,072 --> 00:16:27,508
that it will behave
just the same.
259
00:16:27,899 --> 00:16:32,034
And so I am today
looking at cooking loss.
260
00:16:32,078 --> 00:16:33,862
I want to make sure that
the moisture loss is the same.
261
00:16:33,905 --> 00:16:36,996
Fat loss is the same.
It needs to behave like
262
00:16:37,039 --> 00:16:39,520
functionally as
close as possible.
263
00:16:40,912 --> 00:16:42,349
Going up to puncture it.
264
00:16:44,133 --> 00:16:46,309
- I guess that's why--
- I got 185
on this, so...
265
00:16:46,353 --> 00:16:48,398
The meat industry knows
266
00:16:48,442 --> 00:16:49,878
that they can't meet
the demand of the people
267
00:16:50,357 --> 00:16:52,228
And if the demand for meat
268
00:16:52,272 --> 00:16:54,013
is going to double by 2050,
269
00:16:54,056 --> 00:16:57,059
there is just no method
of production
270
00:16:57,103 --> 00:16:59,148
that they have
at their disposal now
271
00:16:59,192 --> 00:17:01,542
that will satisfy that
hunger for meat.
272
00:17:03,544 --> 00:17:04,849
There just isn't.
273
00:19:09,496 --> 00:19:11,367
Uma would
you just take your hands
274
00:19:11,411 --> 00:19:12,890
and clap them in front
of your face like that?
275
00:19:13,239 --> 00:19:15,328
- Okay, everybody's standing?
- Yup.
276
00:19:15,589 --> 00:19:16,938
Okay. Any time, Uma.
277
00:19:18,505 --> 00:19:21,377
So March
14th, 2017. That is today, team.
278
00:19:21,856 --> 00:19:25,512
We are here to do something
that has never happened
279
00:19:25,555 --> 00:19:27,340
in the history of humanity.
280
00:19:27,383 --> 00:19:28,645
Thank you,
guys. Thank you for being here.
281
00:19:28,689 --> 00:19:30,038
Here we go! Ready?
282
00:19:30,081 --> 00:19:31,518
Let's rock!
283
00:19:34,085 --> 00:19:35,609
Whenever you're ready.
284
00:19:36,218 --> 00:19:39,047
All right, are
we ready for the cook off?
285
00:19:45,619 --> 00:19:46,968
What's that?
286
00:19:49,100 --> 00:19:50,406
Right there?
You see that?
287
00:19:54,367 --> 00:19:56,586
Who touched that?
288
00:19:56,630 --> 00:19:59,198
Let's just get
the ingredients shouted out
if you would?
289
00:20:00,895 --> 00:20:02,592
In terms
of technical breakthroughs
290
00:20:02,636 --> 00:20:04,855
that allowed us to do what
we did over the last year
291
00:20:04,899 --> 00:20:09,251
we had a few substantial,
isolated breakthroughs,
292
00:20:09,295 --> 00:20:12,385
so one of the things that was
more relevant to the poultry
293
00:20:12,428 --> 00:20:16,693
is starting to have texture,
because the meatball,
294
00:20:16,737 --> 00:20:19,218
there was a texture,
but not the types of texture
295
00:20:19,261 --> 00:20:22,221
we had with poultry,
where we could have
296
00:20:22,264 --> 00:20:25,963
very clearly fibers
that you could see in there.
297
00:20:26,007 --> 00:20:28,618
Fiberosity starting to have
three-dimensional nature
298
00:20:28,662 --> 00:20:30,272
to the meat that
we're producing.
299
00:20:50,423 --> 00:20:54,078
August 23rd,
2017 we announced the closing
300
00:20:54,122 --> 00:20:56,255
of a major round of financing
301
00:21:03,218 --> 00:21:08,092
We were able to put together
a group of investors
302
00:21:08,136 --> 00:21:11,095
that really care about
what we're doing,
303
00:21:11,139 --> 00:21:14,098
and it includes
impact investors,
304
00:21:14,142 --> 00:21:17,754
but it also includes the
meat industry incumbents.
305
00:21:22,846 --> 00:21:25,022
So it's all about
sustainability.
306
00:21:25,066 --> 00:21:27,503
It's about, call it
"clean meat", if you will?
307
00:21:27,547 --> 00:21:30,593
It's not going to replace
the consumption of beef
308
00:21:30,637 --> 00:21:34,597
or chicken or duck overnight
but nonetheless it's a way
309
00:21:34,641 --> 00:21:36,686
to produce meat in a different
alternative
310
00:21:36,730 --> 00:21:38,819
that isn't as
resource intensive.
311
00:21:39,820 --> 00:21:43,476
Memphis Meats has
raised a total of $22 million
312
00:21:43,519 --> 00:21:45,434
which signals a commitment
313
00:21:45,478 --> 00:21:47,610
to the "clean
meat" movement.
314
00:21:47,654 --> 00:21:50,134
Which other companies
are working on as well,
315
00:21:50,178 --> 00:21:52,311
including Tyson,
which is one of the
316
00:21:52,354 --> 00:21:56,010
largest chicken suppliers
in the United States.
317
00:22:21,296 --> 00:22:24,430
So here we are in the
epicenter of venture capital.
318
00:22:27,041 --> 00:22:30,566
We have invested
about $4 billion.
319
00:22:31,959 --> 00:22:38,574
Companies like Skype, Hotmail,
Baidu, Tesla, Twitter, Twilio.
320
00:22:40,097 --> 00:22:41,925
There's a long list
we've had, I think
321
00:22:41,969 --> 00:22:44,363
28 companies that
have exited with
322
00:22:44,406 --> 00:22:45,886
over $1 billion valuation
323
00:22:46,756 --> 00:22:48,584
and certainly food
is a huge area,
324
00:22:48,628 --> 00:22:51,370
certainly a big market,
and there's a lot of change
325
00:22:51,413 --> 00:22:55,112
going on with technologies
with respect to the production
326
00:22:55,156 --> 00:22:57,724
and distribution of food.
And then there are also
327
00:22:57,767 --> 00:23:00,596
changing consumer behaviors
and changing consumer taste.
328
00:23:02,555 --> 00:23:04,774
And Memphis was really special
329
00:23:06,254 --> 00:23:08,343
The timing felt right.
330
00:23:10,824 --> 00:23:14,523
So we, you know,
DFJ led the series.
331
00:23:14,567 --> 00:23:16,699
Memphis Meats was
in the enviable position
332
00:23:16,743 --> 00:23:18,266
of having more money
333
00:23:18,309 --> 00:23:20,747
coming at it than
it wanted to take.
334
00:23:20,790 --> 00:23:24,446
So it was an
interesting dance to...
335
00:23:24,490 --> 00:23:27,971
For example consider, do
you want strategic investors?
336
00:23:28,015 --> 00:23:31,540
So investors who themselves
are in the meat industry.
337
00:23:31,584 --> 00:23:33,455
What are the pros
and cons of that?
338
00:23:33,499 --> 00:23:36,415
What would that say about
us? What kind of restrictions
339
00:23:36,458 --> 00:23:38,155
might they put on us
in order to do that?
340
00:23:38,199 --> 00:23:40,636
So, you know, we ultimately
ended up with both Tyson's
341
00:23:40,680 --> 00:23:43,639
and Cargill as investors, and
they've been wonderful partners.
342
00:23:43,683 --> 00:23:46,337
And they've been really
helpful in various ways,
343
00:23:46,381 --> 00:23:48,644
such as understanding some
of the regulatory environment.
344
00:24:00,395 --> 00:24:02,484
Hey.
345
00:24:16,498 --> 00:24:19,806
I don't think 110 pounds of dry
ice is going to be enough.
346
00:24:21,547 --> 00:24:23,636
Now we just gotta move them.
347
00:24:26,552 --> 00:24:29,468
We currently
occupy about this much space.
348
00:24:30,338 --> 00:24:32,427
- Yeah.
- We're getting this much space
349
00:24:32,645 --> 00:24:34,864
which is 17,500 square feet.
350
00:24:34,908 --> 00:24:36,692
We have these two rooms
351
00:24:36,736 --> 00:24:39,173
that are functional cold rooms.
And then the process development
352
00:24:39,216 --> 00:24:42,002
space over here, where we
define the right conditions to
353
00:24:42,263 --> 00:24:48,530
grow the cells into functional
meat tissues all of that space
354
00:24:48,574 --> 00:24:50,663
is here and then leads right
into the kitchen space.
355
00:25:07,418 --> 00:25:09,812
We're going to
build up the process to allow us
356
00:25:09,856 --> 00:25:12,815
to make scalable
large quantities of meat.
357
00:25:12,859 --> 00:25:17,254
We can do this at small
scale now, but to scale that up
358
00:25:17,298 --> 00:25:20,170
is going to be one of the
really, really big challenges.
359
00:25:20,214 --> 00:25:22,521
Yeah, if you just wanna throw it
in that small room...
360
00:25:22,564 --> 00:25:24,348
The scale for food production,
361
00:25:24,392 --> 00:25:26,525
the more we dig into
this and think about it,
362
00:25:27,569 --> 00:25:30,050
it's unfathomable.
It's so large.
363
00:25:31,094 --> 00:25:34,010
And so, I have this
analogy that I say,
364
00:25:34,054 --> 00:25:37,187
if San Francisco is
roughly a million people
365
00:25:37,231 --> 00:25:39,581
and if every person
had one burger a week,
366
00:25:39,625 --> 00:25:42,279
which is like a quarter of
a pound, then in a month
367
00:25:42,323 --> 00:25:43,585
they would each eat a pound,
368
00:25:43,629 --> 00:25:45,544
which is 12 million
pounds a year.
369
00:25:46,153 --> 00:25:49,199
And so to feed everyone
in San Francisco,
370
00:25:49,243 --> 00:25:52,028
one burger a week,
12 million pounds a year,
371
00:25:52,072 --> 00:25:54,204
if we make meat
50 weeks a year,
372
00:25:54,248 --> 00:25:58,382
that's two 240,000
pounds every week,
373
00:25:58,426 --> 00:26:01,081
which is approximately
the size of a blue whale.
374
00:26:01,995 --> 00:26:05,302
And so every week,
week after week after week,
375
00:26:05,346 --> 00:26:08,567
for San Francisco,
it's a blue whale.
376
00:26:10,656 --> 00:26:12,701
Anyone have
a marker, or a Sharpie?
377
00:26:12,745 --> 00:26:14,573
- All right, here.
- We want our present.
378
00:26:14,616 --> 00:26:16,052
- You want your present?
- A housewarming gift.
379
00:26:16,096 --> 00:26:17,663
All right, let me get the gift.
380
00:26:18,272 --> 00:26:20,448
One of the most important
milestones you guys have,
381
00:26:20,491 --> 00:26:22,319
at least one of the
ways we think about it,
382
00:26:22,363 --> 00:26:27,237
is price per pound,
which is kind of a singular
383
00:26:27,281 --> 00:26:29,326
thing that over
time, presumably,
384
00:26:29,370 --> 00:26:32,895
will continue to go down.
So I went home last night
385
00:26:32,939 --> 00:26:36,595
and I made you this little
sign as an office warming gift.
386
00:26:36,638 --> 00:26:40,642
So it's like a little old
grocery store sign and it says
387
00:26:40,686 --> 00:26:44,080
"Memphis Meats, today's price".
388
00:26:45,952 --> 00:26:48,084
And it's out of glass, because
this is my hobby, I make glass.
389
00:26:48,128 --> 00:26:50,434
So you want to
write in todays' price?
390
00:26:50,478 --> 00:26:52,306
- Go ahead, Nick.
- Do it.
391
00:26:55,396 --> 00:26:57,093
Do we need
to consult on this?
392
00:26:57,137 --> 00:26:59,705
- No, Go for it.
- Go for it!
393
00:27:00,401 --> 00:27:03,056
See if it matches
what I saw in the deck yesterday
394
00:27:07,495 --> 00:27:10,977
All right, just a
little ways to go
395
00:27:12,848 --> 00:27:15,372
We had a couple of extra 0's
next to it when we started.
396
00:27:15,416 --> 00:27:17,505
I know, I know,
this is already progress.
397
00:27:17,548 --> 00:27:19,768
Maybe three zeros next to it.
398
00:27:19,812 --> 00:27:21,291
Like I said, if we keep on
at the same rate,
we'll be there in no time.
399
00:27:21,335 --> 00:27:24,338
Okay,
so February 16th, 2018.
400
00:27:24,686 --> 00:27:27,384
The last harvest of
meat at Memphis Meats
401
00:27:27,428 --> 00:27:28,995
was $1,700 a pound
402
00:27:30,605 --> 00:27:33,652
- That was beef.
- Beef. Yes, yes.
403
00:27:36,002 --> 00:27:39,483
Day one in the new building is
always extra exciting.
404
00:27:48,536 --> 00:27:50,146
I'm filled with gratitude.
405
00:27:50,190 --> 00:27:52,192
I've always said I'm
here because of my family
406
00:27:52,758 --> 00:27:56,065
Then it started up with
Nick and I joining here.
407
00:27:56,109 --> 00:27:57,850
Now, this is our
extended family,
408
00:27:57,893 --> 00:27:59,547
and I want to really
thank you very much.
409
00:28:00,113 --> 00:28:02,506
I raise a glass for
better meat, better world.
410
00:28:02,550 --> 00:28:03,594
Cheers.
411
00:28:09,209 --> 00:28:11,733
I haven't
been here since 2012.
412
00:28:11,777 --> 00:28:13,561
Yeah,
we've been in this business
for a very long time.
413
00:28:13,604 --> 00:28:15,694
I mean this
company's so diverse.
414
00:28:15,737 --> 00:28:17,434
You were still practicing
as a cardiologist then.
415
00:28:19,872 --> 00:28:22,178
That
seems like eons ago.
416
00:28:25,399 --> 00:28:26,574
Hello?
417
00:28:39,805 --> 00:28:42,111
Uma's talked
about this idea of growing meat
418
00:28:42,155 --> 00:28:45,898
for as long as I've known
him which is almost 25 years.
419
00:28:46,681 --> 00:28:50,337
He's talked about this
in some form or another.
420
00:28:52,513 --> 00:28:56,778
It's among the values that
we talk about as a family.
421
00:29:04,003 --> 00:29:05,961
- Mm, thanks.
- Yeah.
422
00:29:23,283 --> 00:29:26,155
He spent
a lot of time thinking about it
423
00:29:26,199 --> 00:29:28,810
and one thing you
know is that when
424
00:29:28,854 --> 00:29:30,420
you have a desire like that,
425
00:29:30,464 --> 00:29:32,771
it doesn't go away
with ignoring it.
426
00:29:32,814 --> 00:29:35,382
It only grows, especially
when you know it's meant to be
427
00:29:42,563 --> 00:29:45,914
The only process that we
are changing is one step.
428
00:29:45,958 --> 00:29:47,611
Instead of these cells
growing in an animal,
429
00:29:47,655 --> 00:29:49,700
we are growing them
outside the animal.
430
00:29:49,744 --> 00:29:52,573
Meat is still the same
meat, and we're harvesting it.
431
00:29:56,359 --> 00:29:58,318
The
idea was to go to the U.S.
432
00:29:58,579 --> 00:30:02,539
wanting to do cardiology
and cardiac surgery at Mayo,
and I had a number
433
00:30:02,583 --> 00:30:05,629
of interviews at Mayo
Clinic but my visa got
rejected multiple times.
434
00:30:05,673 --> 00:30:08,850
So, back then when
your visa was rejected,
435
00:30:08,894 --> 00:30:11,810
you could try, I think
three times in total.
436
00:30:12,332 --> 00:30:16,466
And I believe I got
rejected three times.
437
00:30:16,510 --> 00:30:19,687
Any
reason why they give you?
Why they rejected you?
438
00:30:20,035 --> 00:30:22,951
No, I mean, it was hard to know.
439
00:30:22,995 --> 00:30:24,648
I think I went well prepared.
440
00:30:24,692 --> 00:30:25,998
Okay.
441
00:30:26,041 --> 00:30:27,695
But it was
all over in a few seconds
442
00:30:27,738 --> 00:30:30,959
and there was
really no explanation.
443
00:30:31,003 --> 00:30:33,222
So it was at that
time I thought
444
00:30:33,266 --> 00:30:35,834
the world was turned upside
down and it was a shade of shock
445
00:30:36,922 --> 00:30:39,141
because I pretty much thought
this is where I would train.
446
00:30:39,185 --> 00:30:41,752
But then you go into solutions
more than they decided
447
00:30:41,796 --> 00:30:46,018
that I would go to Jamaica
and work there for a while
448
00:30:46,061 --> 00:30:48,890
and reapply to go to
the U.S. to train again.
449
00:30:49,282 --> 00:30:51,980
So that started my
journey to leave India.
450
00:30:52,024 --> 00:30:53,199
But...
451
00:30:54,026 --> 00:30:55,244
If I didn't get
those rejections,
452
00:30:55,288 --> 00:30:56,463
I wouldn't have gone to Jamaica.
453
00:30:57,986 --> 00:30:59,596
And if I didn't go there, I
wouldn't have met my wife
454
00:31:01,947 --> 00:31:04,688
Oh, can
you tell me the moment when
it took that big leap of faith?
455
00:31:04,732 --> 00:31:08,388
You know, your journey
from cardiology to business?
456
00:31:09,780 --> 00:31:13,219
As
I started working in
cardiology at the Mayo Clinic
457
00:31:14,960 --> 00:31:18,528
That's when stem cell research
was really being worked on
458
00:31:18,572 --> 00:31:21,096
to grow heart muscle
and I started to think about
459
00:31:21,140 --> 00:31:23,751
how could we translate
the benefits of stem cells
460
00:31:23,794 --> 00:31:26,754
into treating
disease and later on
461
00:31:26,797 --> 00:31:30,062
in my practice, I was injecting
stem cells into patients' hearts
462
00:31:30,105 --> 00:31:32,629
do regrow heart muscle, and
that's where the idea came from.
463
00:31:33,761 --> 00:31:35,197
I started thinking about
464
00:31:35,241 --> 00:31:38,897
if I practice cardiology
for another 30 years
465
00:31:38,940 --> 00:31:40,681
I would probably save
two or three thousand lives,
466
00:31:41,247 --> 00:31:45,904
But there is very little
in the form of any idea
467
00:31:45,947 --> 00:31:48,210
that even comes close
to the level of impact
468
00:31:48,254 --> 00:31:51,518
of what this could be impact
on billions of human lives
469
00:31:51,779 --> 00:31:53,737
and trillions of animal lives.
470
00:31:53,781 --> 00:31:56,958
And it felt like it
was not even close to
471
00:31:57,611 --> 00:31:59,265
the choice of me
continuing cardiology.
472
00:31:59,308 --> 00:32:01,528
Although it was
enormously satisfying.
473
00:32:03,443 --> 00:32:05,662
I felt good about
leaving cardiology
474
00:32:05,706 --> 00:32:07,229
and starting
something that had
475
00:32:07,273 --> 00:32:08,317
a transformative impact.
476
00:32:26,031 --> 00:32:27,989
I would
say coming to India
477
00:32:28,033 --> 00:32:31,079
it feels like connecting
back with the roots
478
00:32:31,123 --> 00:32:32,863
of where the idea came from.
479
00:32:43,483 --> 00:32:46,616
When I was twelve years
old, there was a party
480
00:32:46,660 --> 00:32:47,966
for one of my friends
in this neighborhood.
481
00:32:49,489 --> 00:32:50,794
There was a birthday party.
There was a lot of people.
482
00:32:50,838 --> 00:32:55,234
He was like dancing,
and there was a lot of food
483
00:32:56,322 --> 00:32:58,933
and I just happened to
walk to the back of the home
484
00:32:59,499 --> 00:33:01,022
where they were making the food
485
00:33:02,719 --> 00:33:06,201
where I saw the animals,
chickens, being slaughtered.
486
00:33:09,030 --> 00:33:11,902
It was an experience
where I saw intense
487
00:33:11,946 --> 00:33:14,731
and, you know, true happiness
in the front of the home
488
00:33:14,775 --> 00:33:16,690
where they were celebrating
my friend's birthday.
489
00:33:16,733 --> 00:33:20,563
And then I walked back. And
then there was this moment
490
00:33:20,955 --> 00:33:22,870
where that happiness
is being supported
491
00:33:22,913 --> 00:33:24,915
by ending life, and that
was very hard for me and...
492
00:33:26,091 --> 00:33:28,876
It was just this feeling in
me that how, as humans,
493
00:33:28,919 --> 00:33:30,878
we were incredibly
capable of having
494
00:33:30,921 --> 00:33:32,314
a lot of joy, fun, generosity.
495
00:33:32,358 --> 00:33:33,881
And on the other
side, there was
496
00:33:33,924 --> 00:33:36,536
this dark reality of
you know, ending life.
497
00:33:37,928 --> 00:33:41,062
There was a birthday
on one side and there was a
death day on the other side.
498
00:33:41,106 --> 00:33:42,890
and it was happening
at the same time.
499
00:33:44,979 --> 00:33:46,763
Obviously, as a kid, I thought,
500
00:33:46,807 --> 00:33:48,287
Why don't we all stop eating
meat?
501
00:33:48,896 --> 00:33:51,942
And that is a solution
that is on the table always.
502
00:33:59,907 --> 00:34:01,517
What I
thought I would do today
503
00:34:01,561 --> 00:34:05,086
is talk to you about
the stages in my life.
504
00:34:05,739 --> 00:34:10,004
I want to talk about the four
kilometer circle I grew up in.
505
00:34:11,484 --> 00:34:13,442
But some of the things that
happened in my life,
506
00:34:13,486 --> 00:34:15,270
the experiences
507
00:34:15,314 --> 00:34:18,708
and the stories that shaped
who I am, I'm going to talk
508
00:34:18,752 --> 00:34:21,407
about my progression
from being a kid
509
00:34:21,450 --> 00:34:25,672
walking the streets here to
what brings me back here today.
510
00:35:17,463 --> 00:35:22,642
What I want is,
out of 1,200 students,
511
00:35:23,469 --> 00:35:28,169
if two people get ignited
and if two people reach
512
00:35:28,213 --> 00:35:32,608
the level of Shaker
where he is that wonderful.
That is our wish.
513
00:35:42,705 --> 00:35:44,533
Okay.
Can you hear me okay?
514
00:35:48,494 --> 00:35:50,104
Thank you very
much for having me.
515
00:35:51,888 --> 00:35:54,804
I feel like I'm
still a 16-year-old
516
00:35:54,848 --> 00:35:59,069
seeing all of you in this room.
So I want to talk to you guys.
517
00:36:00,854 --> 00:36:02,725
Vijayawada has
autonomous schools.
518
00:36:02,769 --> 00:36:04,858
So we had to run
our own cafeterias.
519
00:36:04,901 --> 00:36:06,990
Then we would go to
the market shopping
520
00:36:07,034 --> 00:36:10,124
for, you know, a thousand kids
and I saw a large scale
slaughter.
521
00:36:10,690 --> 00:36:13,214
So when you see
large scale slaughter like that
522
00:36:13,258 --> 00:36:16,348
that's automated on
machines like in a few seconds,
523
00:36:16,391 --> 00:36:17,914
you know, hundreds
of lives are taken.
524
00:36:18,524 --> 00:36:20,830
It was hard for me to understand
525
00:36:20,874 --> 00:36:22,745
how we could allow
some things like that
526
00:36:23,355 --> 00:36:25,487
which at that point
is when I said, okay,
527
00:36:25,531 --> 00:36:27,010
I am going to stop eating meat.
528
00:36:27,054 --> 00:36:28,882
But I love the taste of meat.
529
00:36:28,925 --> 00:36:30,405
It's not something
that you want
530
00:36:30,449 --> 00:36:32,668
to give up easily,
but it was one of
531
00:36:32,712 --> 00:36:34,235
those things I said,
Well, let's just stop
532
00:36:34,279 --> 00:36:36,585
and I used to dream
at that point, about,
533
00:36:36,629 --> 00:36:40,502
meat growing on trees,
but that was pretty unusual
534
00:36:40,546 --> 00:36:42,287
to dream about meat trees.
535
00:36:43,244 --> 00:36:45,028
50 years from now
536
00:36:45,072 --> 00:36:47,422
people will look back and
say, My gosh, you had to raise
537
00:36:47,466 --> 00:36:51,513
billions of animals, kill
them to get meat to the table.
538
00:36:51,557 --> 00:36:52,949
Why could you not
just grown it directly?
539
00:36:52,993 --> 00:36:54,908
So the implications are massive.
540
00:36:56,605 --> 00:36:59,260
I know. I've spoken for
about 30 - 40 minutes.
541
00:36:59,304 --> 00:37:00,696
I want to kind of bring us back
542
00:37:00,740 --> 00:37:02,742
in the full circle
back to this colony.
543
00:37:04,918 --> 00:37:07,790
I grew up in front of
this building my entire life
544
00:37:07,834 --> 00:37:10,402
before I left Vijayawada
I was in a four kilometer
545
00:37:10,445 --> 00:37:13,100
radius in this colony
with a number of people
546
00:37:13,143 --> 00:37:19,541
that I finally remember as
people that I depended on
547
00:37:19,585 --> 00:37:22,979
it's the relationships around
me that made me pull through.
548
00:37:24,633 --> 00:37:27,636
My family, my friends,
my teachers, my neighbors.
549
00:37:29,508 --> 00:37:30,770
Thank you again for having me.
550
00:37:30,813 --> 00:37:32,815
I'm happy
to take some questions.
551
00:37:39,996 --> 00:37:41,694
- Hey.
- Hey.
552
00:37:44,305 --> 00:37:47,569
Oh, Auntie Alanaru. Oh,
I'm so happy to see you.
553
00:37:47,613 --> 00:37:48,962
Thank you.
554
00:37:51,834 --> 00:37:54,620
Yeah, so nice to see you.
Thanks for coming.
555
00:38:06,980 --> 00:38:09,461
What? Do you want
me to write on this, mom?
556
00:39:12,872 --> 00:39:16,223
The U.S. Cattleman's
Association filed a petition
557
00:39:16,266 --> 00:39:18,051
with the U.S. Department
of Agriculture
558
00:39:18,094 --> 00:39:23,099
asking for the
USDA to change its policy book
559
00:39:23,143 --> 00:39:27,190
to define meat and beef in
ways that make it impossible
560
00:39:27,234 --> 00:39:29,845
for clean meat to use
those terms on their labels.
561
00:39:36,156 --> 00:39:38,550
Usually, when consumers
pick up a package of beef
562
00:39:38,593 --> 00:39:40,116
in the grocery store,
they expect it to be
563
00:39:40,160 --> 00:39:41,770
from the flesh of
an animal harvested
564
00:39:41,814 --> 00:39:42,945
in the traditional manner.
565
00:39:50,083 --> 00:39:52,520
If you have these other products
floating around on shelves
566
00:39:52,564 --> 00:39:56,959
and potentially being co-mingled
with our products we see
567
00:39:57,003 --> 00:40:00,049
not only food safety concerns
but obviously consumer's
568
00:40:00,093 --> 00:40:02,443
rights issues, because,
everybody deserves to know
569
00:40:02,487 --> 00:40:04,053
where their food comes from.
570
00:40:04,097 --> 00:40:05,707
it should be more along
571
00:40:05,751 --> 00:40:10,320
the lines of alternative
protein or, you know, specifying
572
00:40:10,364 --> 00:40:13,106
that it's coming from a
muscular tissue sample.
573
00:40:13,628 --> 00:40:16,936
now is a make or break
moment for clean meat.
574
00:40:16,979 --> 00:40:19,460
Is it going to be FDA
or is it going to be USDA
575
00:40:19,504 --> 00:40:21,419
and whichever agency it is
576
00:40:21,462 --> 00:40:25,248
is it going to be a reasonable
process for coming to market?
577
00:40:29,818 --> 00:40:31,777
So we started
talking to the Meat Institute.
578
00:40:37,957 --> 00:40:41,569
And on August 23rd, 2018 we
wrote a letter to the president.
579
00:40:50,491 --> 00:40:52,580
The letter was a culmination
of lots of discussions.
580
00:40:52,624 --> 00:40:55,496
It took a lot of back
and forth conversations.
581
00:41:28,094 --> 00:41:31,793
We, you know, we wouldn't
have even dreamed of this
582
00:41:31,837 --> 00:41:33,534
a year ago or two years ago.
583
00:41:35,884 --> 00:41:38,539
I think the moment
felt very surreal.
584
00:41:43,588 --> 00:41:45,372
And I also saw...
585
00:41:49,071 --> 00:41:52,771
enormous amounts of,
you know, conflict within me.
586
00:41:53,859 --> 00:41:58,428
I can't imagine I am signing
a letter with the largest meat
587
00:41:58,472 --> 00:42:00,387
trade association in the world.
588
00:42:03,216 --> 00:42:07,873
Felt like the right thing
to do and this is signing my
name behind it and saying
589
00:42:07,916 --> 00:42:13,705
we are going to
truly bring everybody
under this tent in saying
590
00:42:13,748 --> 00:42:16,534
this is a solution that the
world is looking forward to.
591
00:42:23,889 --> 00:42:25,586
Using
markets and food technology
592
00:42:25,630 --> 00:42:29,068
to solve problems? That's
not a left or a right issue.
593
00:42:31,244 --> 00:42:32,854
There should be governments,
594
00:42:32,898 --> 00:42:34,726
there should be massive
foundations,
595
00:42:34,769 --> 00:42:37,816
there should be billion
dollar philanthropists.
596
00:42:41,123 --> 00:42:42,777
We need Manhattan projects.
597
00:42:42,821 --> 00:42:45,563
We need moon landings.
We need absolute commitment
598
00:42:45,606 --> 00:42:48,087
to making this happen
as quickly as possible.
599
00:42:57,270 --> 00:42:59,054
It is just true
600
00:42:59,098 --> 00:43:02,623
that the vast majority of people
are not going to incorporate
601
00:43:02,667 --> 00:43:05,974
ethical considerations
into their dietary choices
602
00:43:09,151 --> 00:43:13,242
So let's take ethics off the
table and let's just create
603
00:43:13,286 --> 00:43:16,724
products that people want to
buy because they are delicious
604
00:43:16,768 --> 00:43:19,901
they are reasonably priced
and they are everywhere.
605
00:43:19,945 --> 00:43:22,512
So that's, you know, the
brainstorm and the focus GFI.
606
00:43:23,862 --> 00:43:25,733
One of the things that GFI does
607
00:43:25,777 --> 00:43:29,650
is thinks about
consumer acceptance issues
608
00:43:29,694 --> 00:43:33,175
and we just had so many people
who would hear cultured meat
609
00:43:33,219 --> 00:43:34,655
and they would
just sort of recoil.
610
00:43:34,699 --> 00:43:36,439
And obviously lab grown
meat is even worse.
611
00:43:36,483 --> 00:43:38,354
In-vitro meat is even worse.
612
00:43:39,486 --> 00:43:43,490
And so we surveyed everybody
in sort of the community
613
00:43:43,533 --> 00:43:46,145
of clean meet at the
beginning of 2016.
614
00:43:46,188 --> 00:43:49,452
We said, what do you think?
You know what should we call it?
615
00:43:49,496 --> 00:43:51,150
And the results came back
616
00:43:51,193 --> 00:43:54,153
and clean meat was about,
led to about 20% greater
617
00:43:54,196 --> 00:43:56,503
consumer acceptance
than cultured meat.
618
00:44:02,509 --> 00:44:05,338
We can eliminate
industrial animal agriculture
619
00:44:05,904 --> 00:44:09,472
in the next 20 - 30 years.
620
00:44:09,516 --> 00:44:13,302
The best way to do that, it's
markets, it's food technology,
621
00:44:13,346 --> 00:44:16,479
it's creating products that
people actually want to buy
622
00:44:16,523 --> 00:44:18,699
that they can afford
and that they can find.
623
00:44:42,288 --> 00:44:44,682
Hello! Hello.
624
00:44:47,554 --> 00:44:48,990
Hello, everyone.
625
00:44:49,034 --> 00:44:50,688
Hello.
626
00:44:50,731 --> 00:44:53,908
Welcome to the first
annual Good Food Conference.
627
00:45:07,792 --> 00:45:10,620
Hey, hey Uma. How
are you? Good to see you.
628
00:45:10,664 --> 00:45:12,840
The last time
we met you were moving faster.
629
00:45:12,884 --> 00:45:14,450
What do you call this?
Our hometown.
630
00:45:14,494 --> 00:45:15,930
- Our hometown.
- Yes.
631
00:45:17,758 --> 00:45:20,456
So we started to think about
632
00:45:20,500 --> 00:45:23,285
making a hamburger
from stem cells
633
00:45:23,329 --> 00:45:27,072
or making meat from
stem cells in 2004.
634
00:45:28,421 --> 00:45:30,553
Funded by the Dutch government
635
00:45:30,597 --> 00:45:33,121
we could start those
technologies, develop
those technologies.
636
00:45:34,296 --> 00:45:39,911
Unveiling of that
first hamburger was in
August 2013 in London.
637
00:45:42,087 --> 00:45:44,872
We got the money for
that from Sergei Brynn
638
00:45:44,916 --> 00:45:48,658
who put something
like $1.5 million in it.
639
00:45:48,702 --> 00:45:51,792
We made three
hamburgers for that money.
640
00:45:54,273 --> 00:45:56,928
What I knew is this is
a big societal problem,
641
00:45:56,971 --> 00:46:01,149
and this is a potential solution
for that societal problem.
642
00:46:01,193 --> 00:46:04,065
What we had experienced,
of course, in the project was
643
00:46:04,109 --> 00:46:07,982
yes, there was media attention
for it, but there was not
644
00:46:08,026 --> 00:46:10,158
a whole lot of
public interest for it.
645
00:46:13,945 --> 00:46:16,512
Actually the trigger for the
whole thing was the story
646
00:46:16,556 --> 00:46:21,779
of William Van Eelen
at that time already 86
647
00:46:21,822 --> 00:46:25,521
and who basically was so
enthusiastic about this project
648
00:46:25,565 --> 00:46:27,262
and really wanted us to do this.
649
00:46:27,306 --> 00:46:28,698
Pan it to me too.
650
00:46:28,742 --> 00:46:31,092
Will do.
651
00:46:31,136 --> 00:46:32,790
I'm
really honored to meet you
and you know your dad's work
652
00:46:32,833 --> 00:46:34,922
has inspired me while I
was in training in cardiology.
653
00:46:34,966 --> 00:46:38,447
I was about fourteen when he
started working on this.
654
00:46:38,491 --> 00:46:40,580
And that's 40 years ago now.
655
00:46:41,059 --> 00:46:44,192
and where there was
a handful of people
656
00:46:44,236 --> 00:46:46,804
that you could talk to and
to be here now was about
657
00:46:46,847 --> 00:46:49,807
450 people in a
sold out conference.
658
00:46:49,850 --> 00:46:52,940
And everybody knowing
what clean meat is, is for me
659
00:46:52,984 --> 00:46:55,813
like, a very weird situation.
660
00:46:56,335 --> 00:46:58,163
In many ways,
661
00:46:58,206 --> 00:47:00,295
your dad's kind of stimulated an
entire generation of thinking.
662
00:47:00,339 --> 00:47:01,688
Yes, he did.
663
00:47:01,731 --> 00:47:03,124
You don't have to be
a scientist.
664
00:47:03,168 --> 00:47:06,171
You have to have
conviction on your vision.
665
00:47:06,214 --> 00:47:08,390
And I think he's kind
of sewing the seeds
666
00:47:08,434 --> 00:47:10,479
for all of us to kind of
stand on his shoulders.
667
00:47:10,523 --> 00:47:13,178
He wrote
the patent and he got funded.
668
00:47:13,700 --> 00:47:17,008
And then, of course, Mark took
over the torch which was good.
669
00:47:20,272 --> 00:47:22,970
I am the daughter
of William Van Eelen.
670
00:47:23,014 --> 00:47:25,886
He's considered the great
grandfather of clean meat.
671
00:47:26,713 --> 00:47:30,151
In 2010 I organized
the first ever
672
00:47:30,195 --> 00:47:33,981
clean meat, or at that time
was called Pure Meat Conference
673
00:47:34,025 --> 00:47:38,899
in Nemo Technical Museum
in Amsterdam. And there we got
674
00:47:38,943 --> 00:47:42,511
the first footage of very
small slivers of pig meat
675
00:47:42,555 --> 00:47:44,209
that Mark Post had made.
676
00:47:44,644 --> 00:47:46,211
And that was the first ever
677
00:47:46,254 --> 00:47:48,691
pictures of actual clean meat,
678
00:47:48,735 --> 00:47:50,563
and they went into the media
679
00:47:50,606 --> 00:47:52,913
and that is actually
how the investors of
680
00:47:52,957 --> 00:47:55,698
Sergey Brin found Mark Post.
681
00:47:55,742 --> 00:47:59,006
So this is a story
full of domino tiles.
682
00:47:59,050 --> 00:48:02,531
Tell me you are kind
of the rock star here.
683
00:48:02,575 --> 00:48:04,577
You have been described
to me as a rock star.
684
00:48:04,620 --> 00:48:06,013
You and Mark Post,
685
00:48:06,057 --> 00:48:08,581
people are so interested
in Memphis Meats,
686
00:48:08,624 --> 00:48:10,278
you've got all these investors
687
00:48:10,844 --> 00:48:13,803
Why is there so much
interest in your company?
688
00:48:15,153 --> 00:48:18,721
Well, I'm flattered to
hear what you're saying
689
00:48:18,765 --> 00:48:23,726
about me and Mark,
but ultimately this is something
690
00:48:23,770 --> 00:48:25,206
that caught the imagination of,
691
00:48:25,250 --> 00:48:28,644
I say, every country,
every continent.
692
00:48:29,254 --> 00:48:31,212
Cell based
Sounds a little scary
693
00:48:31,256 --> 00:48:33,562
and clean meat implies that
694
00:48:33,606 --> 00:48:35,216
implies the conventional
meat is dirty.
695
00:48:35,260 --> 00:48:38,089
Right.
So the background for this,
696
00:48:38,132 --> 00:48:39,960
in the context of it
is then we started
697
00:48:40,004 --> 00:48:45,052
talking about this industry
and starting the company,
698
00:48:45,096 --> 00:48:46,967
Memphis Meats was the
first company in the space.
699
00:48:47,011 --> 00:48:49,317
We started talking
to a number of people
700
00:48:49,361 --> 00:48:52,407
and people uniformly got
excited and they started calling
701
00:48:52,451 --> 00:48:53,931
the product clean meat.
702
00:48:53,974 --> 00:48:55,758
Clean duck, clean chicken,
clean beef.
703
00:48:55,802 --> 00:48:59,240
Because it mainly communicated
the benefits of a cleaner
704
00:48:59,284 --> 00:49:03,984
production environment
as well as the benefits
705
00:49:04,028 --> 00:49:06,160
we thought we could have
706
00:49:06,204 --> 00:49:08,467
at scale in terms of energy
savings.
707
00:49:09,207 --> 00:49:11,339
But as we started talking
more and more about this
708
00:49:11,861 --> 00:49:15,996
it became particularly clear
that there are people that
709
00:49:16,040 --> 00:49:20,609
felt like while they want this
innovation to come to market,
710
00:49:20,653 --> 00:49:24,309
using a prefects like
clean was not inclusive.
711
00:49:26,006 --> 00:49:27,486
Our nomenclature.
712
00:49:28,661 --> 00:49:31,533
Why cell based or why
clean or why cultured?
713
00:49:31,577 --> 00:49:33,448
Or you know what are the...?
714
00:49:33,492 --> 00:49:35,624
Rather than saying what it is,
because what it is, is meat.
715
00:49:35,668 --> 00:49:38,323
Isn't there a quick way
to just say how it's made?
716
00:49:38,366 --> 00:49:40,107
When a consumer is buying it,
717
00:49:40,151 --> 00:49:42,675
we want them to know it's
coming from animal cells.
718
00:49:42,718 --> 00:49:44,982
versus, a meat alternative.
719
00:49:45,025 --> 00:49:47,897
Why are we so fixated on having
a word in front of meat?
720
00:49:47,941 --> 00:49:49,377
It's almost like gluten free,
721
00:49:49,421 --> 00:49:51,814
like you want it to be
like factory farm free.
722
00:49:51,858 --> 00:49:53,381
Consumers
want transparency.
723
00:49:53,425 --> 00:49:54,687
They want you to be honest
with what you're doing.
724
00:49:54,730 --> 00:49:56,645
So that's why I
support cellular.
725
00:49:56,689 --> 00:49:58,038
And we want to be transparent.
I don't want people mixing up
726
00:49:58,082 --> 00:49:59,474
with stuff with regular--
727
00:49:59,518 --> 00:50:01,302
No, but on the other hand,
728
00:50:01,346 --> 00:50:04,827
what we're not communicating
is... we're communicating back
729
00:50:04,871 --> 00:50:06,307
to being too
technically driven.
730
00:50:06,351 --> 00:50:08,657
We're communicating
the process.
731
00:50:08,701 --> 00:50:12,226
What if the adjective is
more about a global solution?
732
00:50:12,270 --> 00:50:15,490
Yeah, I'm bullish
733
00:50:15,534 --> 00:50:17,318
FFF.
734
00:50:17,362 --> 00:50:18,885
But there's a lot of meat out
there factory farm free.
735
00:50:18,928 --> 00:50:20,539
So you shouldn't
define it by what it's not.
736
00:50:20,582 --> 00:50:21,757
How's it going?
737
00:50:21,801 --> 00:50:22,889
Good. Going.
738
00:50:25,979 --> 00:50:28,329
Really good?
Really, busy?
739
00:50:28,373 --> 00:50:30,331
The alternate would be bad.
740
00:50:30,375 --> 00:50:32,246
So how about you?
Are you travelling or?
741
00:50:32,290 --> 00:50:35,162
Uh yeah, just
got back from ZuĆ¼rich.
742
00:50:35,206 --> 00:50:38,687
When we thought about
the next thing we were
743
00:50:38,731 --> 00:50:41,734
in 4,000 Walmarts,
we were in 3,300 public schools,
744
00:50:41,777 --> 00:50:45,694
We were making tens of millions
of dollars in sales so we easily
745
00:50:45,738 --> 00:50:49,263
could have done meat with plants
that was there for us to take,
746
00:50:49,307 --> 00:50:53,354
but I couldn't imagine a world
where McDonald's would replace
747
00:50:53,398 --> 00:50:55,443
all of their hamburgers
with the plant based burger
748
00:50:55,748 --> 00:50:58,881
and we decided to go
headlong into cultured meat.
749
00:50:58,925 --> 00:51:01,710
All right, guys,
we're going to get ready here in
just a second.
750
00:51:01,754 --> 00:51:03,538
This is a jam packed panel.
751
00:51:03,582 --> 00:51:04,757
I'm so excited for it.
752
00:51:06,411 --> 00:51:08,282
More people are
eating meat today than yesterday
753
00:51:08,326 --> 00:51:11,024
and more people unfortunately
will eat meat tomorrow,
than today.
754
00:51:11,416 --> 00:51:13,113
We think it's
going to be critical
755
00:51:13,157 --> 00:51:16,421
ultimately, to get the
price of meat below the cost
756
00:51:16,464 --> 00:51:17,900
of conventional meat.
757
00:51:17,944 --> 00:51:20,294
Proof of
concept has been demonstrated
758
00:51:20,338 --> 00:51:23,254
to the public, but now
we're about proof of scale.
759
00:51:23,297 --> 00:51:26,083
You know, what is this
factory of the future?
760
00:51:26,126 --> 00:51:29,390
It is a food factory. It
has a lot of the similarities
761
00:51:29,434 --> 00:51:31,871
to any other food factory
following
some the same principles.
762
00:51:32,611 --> 00:51:34,265
And I really see this industry
763
00:51:34,308 --> 00:51:36,919
as being a parallel supply
chain,
764
00:51:36,963 --> 00:51:39,400
or maybe integrated
into the food system,
765
00:51:39,444 --> 00:51:41,620
which I like that people
are starting to talk
766
00:51:41,663 --> 00:51:44,405
about the food
ecosystem and the system
that's what we're a part of.
767
00:51:44,449 --> 00:51:46,581
We are not a separate entity.
768
00:51:46,625 --> 00:51:48,888
The lowering the cost to feed
is the biggest challenge
in this field.
769
00:51:51,456 --> 00:51:53,240
And right now that's a problem
770
00:51:53,284 --> 00:51:55,286
because no one is producing
those ingredients at scale.
771
00:51:55,547 --> 00:51:58,158
But as you start figuring
out the key ingredients
772
00:51:58,202 --> 00:52:02,162
that our animal cells need to
grow I have very little doubt
773
00:52:02,206 --> 00:52:03,859
in my mind that those
things can be scaled up.
774
00:52:03,903 --> 00:52:05,470
I think the
folks in the audience
775
00:52:05,513 --> 00:52:06,819
that are thinking about
starting their own company
776
00:52:08,299 --> 00:52:10,431
don't just you know, look
at what the folks up here
777
00:52:10,475 --> 00:52:12,520
on the stage you're doing
think about how you could
778
00:52:12,564 --> 00:52:13,956
provide something
to the ecosystem
779
00:52:14,000 --> 00:52:15,871
that could be
even more valuable
780
00:52:15,915 --> 00:52:17,656
than what we're doing up here.
781
00:52:17,699 --> 00:52:20,137
Right. So,
for example, I would imagine
782
00:52:20,180 --> 00:52:23,531
that if a company were to
start trying to create steak,
783
00:52:23,575 --> 00:52:26,534
there might be another startup
that would emerge that would try
784
00:52:26,578 --> 00:52:29,363
to produce the fat that would
fit into the marbled steak.
785
00:52:33,672 --> 00:52:35,282
From
the consumer perspective,
786
00:52:35,326 --> 00:52:37,023
we're facing a brave new world
787
00:52:37,066 --> 00:52:38,633
with technology that
was once the stuff
788
00:52:38,677 --> 00:52:41,245
of science fiction
now becoming a reality.
789
00:52:45,031 --> 00:52:46,989
I think
it's also worth pointing
out that people love
790
00:52:47,033 --> 00:52:49,557
innovation almost as much
as they despise change.
791
00:52:49,601 --> 00:52:51,733
And there's no place
they despise change
792
00:52:51,777 --> 00:52:53,039
more than in the food they eat.
793
00:52:57,130 --> 00:53:00,655
Consumers have come to expect
satisfaction and a high quality
794
00:53:00,699 --> 00:53:03,354
eating experience
from real beef.
795
00:53:04,050 --> 00:53:06,183
The manufacturers of lab grown
796
00:53:06,226 --> 00:53:09,316
products should be required
to invest in their own market
797
00:53:09,360 --> 00:53:14,495
development efforts and not ride
the coattails of beef's success.
798
00:53:20,980 --> 00:53:23,635
Consumers are enthusiastic
about these products.
799
00:53:24,288 --> 00:53:26,725
We did a poll with the
company Faunalytics
800
00:53:26,768 --> 00:53:29,075
and we found that
two thirds of Americans
801
00:53:29,118 --> 00:53:30,903
are willing to try
meat grown from cells
802
00:53:30,946 --> 00:53:33,210
without slaughtering
animals and 40%
803
00:53:33,253 --> 00:53:35,864
that they would pay a
premium for these products.
804
00:53:35,908 --> 00:53:39,259
Allowing cellular based proteins
or plant based proteins
805
00:53:39,303 --> 00:53:43,089
to bear the label meat or
beef or the USDA Federal
806
00:53:43,132 --> 00:53:46,527
meat inspection shield or
stamp would be misleading.
807
00:53:46,571 --> 00:53:47,746
Thank you.
808
00:53:51,402 --> 00:53:54,622
We fully recognize that
debate will continue
809
00:53:54,666 --> 00:53:56,929
as to what these products
should be called moving forward.
810
00:53:57,321 --> 00:53:59,236
And although we have
not firmly determined
811
00:53:59,279 --> 00:54:00,715
what the nomenclature
should be,
812
00:54:00,759 --> 00:54:02,543
our producers will
seek a labeling regime
813
00:54:02,587 --> 00:54:06,068
that provides a clear separation
between lab produced products
814
00:54:06,112 --> 00:54:07,331
and conventionally grown meat.
815
00:54:08,288 --> 00:54:10,986
Some terms, like fake, synthetic
816
00:54:11,030 --> 00:54:12,945
or artificial meat, are
intended to not only
817
00:54:12,988 --> 00:54:14,599
cast our products
in a negative light,
818
00:54:14,642 --> 00:54:17,602
but are also simply false
and misleading.
819
00:54:17,993 --> 00:54:19,908
We're making real meat
and seafood,
820
00:54:19,952 --> 00:54:21,606
and that's the whole point.
821
00:54:21,997 --> 00:54:24,435
The term lab grown
has an accuracy problem
822
00:54:24,478 --> 00:54:26,741
as well. As with many familiar
823
00:54:26,785 --> 00:54:28,743
and currently
marketed food products
824
00:54:28,787 --> 00:54:31,398
the early development of our
products happens in food labs,
825
00:54:31,442 --> 00:54:34,314
but the products that we bring
to consumers will be produced
826
00:54:34,358 --> 00:54:36,360
in food production
facilities, not labs.
827
00:54:43,236 --> 00:54:44,803
We really want
to hear from you today.
828
00:54:45,238 --> 00:54:46,761
That's really what this
meeting is about.
829
00:54:46,805 --> 00:54:48,937
Anyone else
would you like to come forward
830
00:54:48,981 --> 00:54:51,810
and make a comment during
this open comment period?
831
00:54:52,158 --> 00:54:55,335
We cell based food producers
do need to use the terms
832
00:54:55,379 --> 00:54:58,773
fish and meat to reiterate
if one is allergic to animal
833
00:54:58,817 --> 00:55:01,123
based seafood, that
person has a high probability
834
00:55:01,167 --> 00:55:03,952
I would say almost
a 100% certainty
835
00:55:03,996 --> 00:55:06,128
that they will be
allergic to the seafood
836
00:55:06,172 --> 00:55:07,782
produced using our technology.
837
00:55:07,826 --> 00:55:11,003
We as cattle producers, we
worked a long time to
838
00:55:11,830 --> 00:55:14,876
build trust between
consumers and stuff like that.
839
00:55:14,920 --> 00:55:18,053
That's why I urge these
companies or individuals
840
00:55:18,097 --> 00:55:22,449
that are doing this
technology to maybe step back
841
00:55:22,493 --> 00:55:25,191
and educate us
so we understand it.
842
00:55:25,670 --> 00:55:27,976
It might help us
be more accepting
843
00:55:28,020 --> 00:55:30,718
to what you want to
accomplish. Thank you.
844
00:55:30,762 --> 00:55:32,198
Thank
you for your comments.
845
00:55:32,677 --> 00:55:35,027
Would anyone else like to
come forward and comment?
846
00:55:39,074 --> 00:55:40,815
I suspect
that producing meat
847
00:55:40,859 --> 00:55:42,861
from animal cell culture,
rather than whole animals,
848
00:55:42,904 --> 00:55:45,080
could result in
fewer viral epidemics
849
00:55:45,124 --> 00:55:46,995
fewer threats to food security
850
00:55:47,039 --> 00:55:49,171
and fewer externalized
costs to environment,
851
00:55:49,215 --> 00:55:50,782
public health and
animal welfare.
852
00:55:52,218 --> 00:55:55,090
Currently, 815
million people around the globe
853
00:55:55,134 --> 00:55:56,701
are malnourished, as has been
854
00:55:56,744 --> 00:55:58,398
discussed a few times today.
855
00:55:58,442 --> 00:56:00,182
Hunger has been on the rise
856
00:56:00,226 --> 00:56:02,663
for the last three years,
and this number is expected
857
00:56:02,707 --> 00:56:05,623
to drastically increase as
the world's population grows.
858
00:56:06,275 --> 00:56:09,496
We must rethink the global
food production system.
859
00:56:09,540 --> 00:56:13,239
For us producing bluefin tuna,
cell based bluefin tuna,
860
00:56:13,282 --> 00:56:14,849
there will be no mercury,
861
00:56:14,893 --> 00:56:17,678
no plastic,
we're not using antibiotics
862
00:56:17,722 --> 00:56:19,550
we are not
overfishing, the ocean.
863
00:56:19,593 --> 00:56:21,552
We are not engaging
in animal cruelty.
864
00:56:23,554 --> 00:56:25,207
On the question of safety
865
00:56:25,251 --> 00:56:27,862
innovation in the meat
industry is urgently needed.
866
00:56:27,906 --> 00:56:30,387
Conventional methods rely
on the intensive confinement
867
00:56:30,430 --> 00:56:33,912
of animals in unsanitary
and inhumane facilities.
868
00:56:34,565 --> 00:56:37,394
These unnatural conditions
require extensive use
869
00:56:37,437 --> 00:56:39,439
of antibiotics to
address diseases
870
00:56:39,483 --> 00:56:42,747
that proliferate among the
crowded, stressed animals.
871
00:56:42,790 --> 00:56:45,706
Contributing to the spread
of drug resistant superbugs.
872
00:56:45,750 --> 00:56:48,535
We need real
alternatives to the suffering.
873
00:56:48,579 --> 00:56:51,233
We need real
alternatives to the cruel
874
00:56:51,277 --> 00:56:54,802
and inhumane conditions
forced upon billions of animals
875
00:56:54,846 --> 00:56:57,892
we need alternatives
to artificial insemination,
876
00:56:57,936 --> 00:57:00,460
overcrowding,
genetic manipulation,
877
00:57:00,504 --> 00:57:02,767
long transport and slaughter.
878
00:57:04,769 --> 00:57:07,293
Without a clear, predictable
and timely framework,
879
00:57:07,336 --> 00:57:09,774
this industry cannot succeed.
880
00:57:10,339 --> 00:57:14,169
Any delays in moving
forward would jeopardize the
U.S.'s standing in the world
881
00:57:14,213 --> 00:57:16,084
as the leader in
protein production
882
00:57:16,128 --> 00:57:19,305
and responsible science
based food innovation.
883
00:57:48,334 --> 00:57:50,118
In addition to providing clarity
884
00:57:50,162 --> 00:57:51,293
in terms of the
regulatory pathway,
885
00:57:51,337 --> 00:57:52,773
are there any other incentives,
886
00:57:52,817 --> 00:57:54,471
either through research,
maybe through ARS
887
00:57:54,514 --> 00:57:58,126
or any other type of ways
that can be implemented
888
00:57:58,170 --> 00:58:00,607
to help ensure that
the American startups
889
00:58:00,651 --> 00:58:03,610
pursuing cellular agriculture
products can move forward
890
00:58:03,654 --> 00:58:07,222
Well, the good thing about the
environment, the economy
891
00:58:07,266 --> 00:58:09,616
and the democratic
process we have here
892
00:58:09,660 --> 00:58:11,531
is our innovators and
entrepreneurs
893
00:58:11,575 --> 00:58:14,795
and our risk takers are
very creative in their efforts.
894
00:58:14,839 --> 00:58:16,493
We want to be ahead of the game.
895
00:58:16,536 --> 00:58:18,190
I think the regulatory framework
896
00:58:18,233 --> 00:58:20,192
needs to be there
to provide guidance
897
00:58:20,235 --> 00:58:24,022
for our entrepreneurs and
innovators to work towards so.
898
00:58:24,065 --> 00:58:27,155
we will be moving post
haste after this meeting
899
00:58:27,199 --> 00:58:29,636
to more clearly define that.
900
00:58:29,680 --> 00:58:31,551
I think this is one of those
unique examples
901
00:58:31,595 --> 00:58:33,074
where we're contemplating
902
00:58:33,118 --> 00:58:34,859
all these things
really early in the process,
903
00:58:34,902 --> 00:58:36,730
really in advance of the
products even being available
904
00:58:36,774 --> 00:58:39,646
and that's going to, I think
help the innovation take root
905
00:58:39,690 --> 00:58:41,996
and provide really clear
guidance to the manufacturers.
906
00:58:42,040 --> 00:58:44,564
I think it should accelerate
the innovation. Thank you.
907
00:58:44,608 --> 00:58:45,826
Would you
like America to be first?
908
00:58:45,870 --> 00:58:47,045
Yes.
909
00:58:51,223 --> 00:58:52,703
I've been
like thinking about this
910
00:58:52,746 --> 00:58:55,880
for the last month, obviously
in preparation.
911
00:58:56,576 --> 00:59:02,626
This moment where heavily vested
parties and cultural identities
912
00:59:03,322 --> 00:59:05,585
would intersect
in a formal way.
913
00:59:06,325 --> 00:59:07,761
Hi, you here for Eric?
914
00:59:07,805 --> 00:59:10,329
What little company with
no product on the market
915
00:59:11,069 --> 00:59:14,202
gets two federal agencies
to talk to each other
916
00:59:14,246 --> 00:59:15,595
in the most productive way?
917
00:59:15,639 --> 00:59:17,336
It was incredible.
It is incredible.
918
00:59:19,425 --> 00:59:21,732
Food is regulated by the U.S.
Food and Drug Administration
919
00:59:22,123 --> 00:59:25,605
and it's about 80% of
the domestic food supply.
920
00:59:25,649 --> 00:59:28,565
and for the remainder it's
largely under the USDA.
921
00:59:31,002 --> 00:59:32,569
The U.S. food
system splits into,
922
00:59:32,612 --> 00:59:35,049
for meat and poultry, animals
that are alive,
923
00:59:35,093 --> 00:59:37,443
the FDA regulates and
then basically from the
924
00:59:37,486 --> 00:59:40,054
moment of slaughter
forward, the USDA regulates.
925
00:59:41,926 --> 00:59:43,580
This good, though?
926
00:59:43,623 --> 00:59:45,538
Yeah. If you want to pull up
right here, that's fine.
927
00:59:49,629 --> 00:59:51,588
We want
to compete on market
928
00:59:51,631 --> 00:59:54,068
with products that are
safe and labeled, and then
929
00:59:54,112 --> 00:59:56,636
that's where we want to
be. And the way to get there
930
00:59:56,680 --> 00:59:58,812
at the last hurdle is
the regulatory system.
931
00:59:58,856 --> 01:00:01,293
And that's why we're putting so
much energy into it right now.
932
01:00:51,169 --> 01:00:54,041
So we have jurisdiction
for both FDA and USDA.
933
01:00:54,085 --> 01:00:56,827
You've done a fantastic job
934
01:00:56,870 --> 01:00:59,090
leading this effort from
Memphis Meats, so...
935
01:00:59,743 --> 01:01:02,484
I hope you take a moment, pause,
936
01:01:02,528 --> 01:01:04,878
and recognize it's a big
milestone.
937
01:01:04,922 --> 01:01:06,488
Yeah,
I think all these big
938
01:01:06,532 --> 01:01:08,708
moments happen and
then we sort of like wait,
939
01:01:08,752 --> 01:01:10,797
Did it just happen?
940
01:01:10,841 --> 01:01:13,495
We'd have to like pinch
ourselves to make sure it
really happened.
941
01:01:13,539 --> 01:01:16,585
We finally get
to this end point.
942
01:01:16,629 --> 01:01:19,501
So one thing I was thinking,
what is next now for us?
943
01:01:19,545 --> 01:01:21,155
It doesn't
matter how great our tech is,
944
01:01:21,199 --> 01:01:23,854
if we can't sell it
legally, who cares?
945
01:01:23,897 --> 01:01:26,726
I think that the next step is
one we're working
on the pathway.
946
01:01:27,379 --> 01:01:29,163
But it could slow down.
947
01:01:29,207 --> 01:01:31,731
There's a possibility that
pathway negotiations stall.
948
01:01:31,775 --> 01:01:33,733
Or if there's
congressional intervention
949
01:01:33,777 --> 01:01:35,430
which is still lingering.
950
01:01:35,474 --> 01:01:37,824
We know that there's
language in the approach bill.
951
01:01:37,868 --> 01:01:40,218
So there's a chance
that this could still delay.
952
01:01:41,045 --> 01:01:42,524
I want to be
realistic about that.
953
01:01:42,568 --> 01:01:45,005
There was, let's say the
pathway gets slowed.
954
01:01:45,049 --> 01:01:47,268
At least we have a
reasonable time frame
955
01:01:47,312 --> 01:01:48,835
of getting under the market,
956
01:01:48,879 --> 01:01:50,184
we can continue to do
technical development,
957
01:01:50,228 --> 01:01:52,012
continue to lower cost,
958
01:01:52,056 --> 01:01:54,841
continue to increase scale
and be ready for that moment.
959
01:01:54,885 --> 01:01:57,235
What would be
motivating factors for that?
960
01:01:58,410 --> 01:02:03,067
Very successful lobbying
against us.
961
01:02:04,895 --> 01:02:07,724
Okay, so safety
and truthful labeling, right?
962
01:02:07,767 --> 01:02:09,769
Correct. Those are the two
legal requirements for us.
963
01:02:09,813 --> 01:02:13,773
Yeah, this will be FDA.
This will be USDA.
964
01:02:13,817 --> 01:02:15,427
One
of the big unknowns,
965
01:02:15,470 --> 01:02:17,255
of course, is, where
inspections will be split.
966
01:02:17,298 --> 01:02:18,865
Labeling, we know that's going
to be handled by the USDA.
967
01:02:18,909 --> 01:02:20,388
We know that, but
we don't know how.
968
01:02:20,432 --> 01:02:22,260
So this is a bare bones
pathway right now.
969
01:02:23,609 --> 01:02:28,048
USDA comes in here and the bio
system we're talking about.
970
01:02:28,092 --> 01:02:29,093
Where's the biosystems?
971
01:02:29,136 --> 01:02:31,095
This is the bio system
972
01:02:32,444 --> 01:02:34,751
where the animal cells
and the feed are growing.
973
01:02:34,794 --> 01:02:37,231
They
would do it as part of a pre
market safety evaluation.
974
01:02:37,275 --> 01:02:41,366
So they'll evaluate the safety,
they'd inspect it and then
975
01:02:42,149 --> 01:02:44,804
they would check to make
sure that we're following.
976
01:02:44,848 --> 01:02:48,460
our inspections ourselves
977
01:02:49,287 --> 01:02:52,072
so they wouldn't come
on site and check regularly.
978
01:02:52,116 --> 01:02:53,813
Okay.
979
01:02:53,857 --> 01:02:54,727
That's
currently what we're thinking.
980
01:02:55,510 --> 01:02:57,295
I think there's a lot of fear
981
01:02:57,338 --> 01:02:59,645
around the intersection
of food and technology,
982
01:02:59,688 --> 01:03:01,299
and we really want to,
983
01:03:01,342 --> 01:03:03,605
many of us want to go
sort of back to the land,
984
01:03:03,649 --> 01:03:06,695
and we have our own
little backyard gardens
985
01:03:06,739 --> 01:03:08,697
and chicken coops
and do it the way
986
01:03:08,741 --> 01:03:10,656
that you know they did in
Little House on the Prairie .
987
01:03:10,699 --> 01:03:14,660
But that won't work to feed
9 billion - 10 billion people.
988
01:03:14,703 --> 01:03:16,967
And tech will have role.
989
01:03:17,010 --> 01:03:18,838
The question is what role?
990
01:03:18,882 --> 01:03:20,797
And how can you do tech right?
991
01:03:20,840 --> 01:03:22,624
- Hey, David.
- Hey, Uma.
992
01:03:22,668 --> 01:03:24,452
How are you?
Good to meet you in person.
993
01:03:24,496 --> 01:03:25,671
How are you? Good to see you
after all of this, how nice.
994
01:03:25,714 --> 01:03:27,107
So what's the--?
995
01:03:27,151 --> 01:03:28,935
Yeah, so I think
in the interest of time,
996
01:03:28,979 --> 01:03:31,851
we should probably start heading
over to the R&D facility.
997
01:03:31,895 --> 01:03:34,288
Should we start
walking this way?
998
01:03:34,332 --> 01:03:36,203
Yeah.
So what we believe in is it
starts with the consumers and
999
01:03:36,247 --> 01:03:38,815
ends with the consumers right,
so they have to get behind it
1000
01:03:38,858 --> 01:03:40,338
and we want to get this
right as opposed to being
1001
01:03:40,381 --> 01:03:41,861
first to market.
First to market
1002
01:03:41,905 --> 01:03:43,515
you know, it sounds
really exciting to do
1003
01:03:43,776 --> 01:03:48,128
but doing the most desirable
product that consumers allow
1004
01:03:48,172 --> 01:03:49,260
is what we're trying to do.
1005
01:03:51,871 --> 01:03:53,960
- Hey guys. Good morning.
- Hi.
1006
01:03:54,004 --> 01:03:55,527
- Hi. How are you?
- Nice to meet you.
1007
01:03:55,570 --> 01:03:56,658
Nice to meet you as well.
1008
01:03:56,702 --> 01:03:58,312
Casey is our vice president
1009
01:03:58,356 --> 01:04:00,749
of process development
and has enormous experience
1010
01:04:00,793 --> 01:04:03,883
in growing cells in very,
very large quantities.
1011
01:04:03,927 --> 01:04:06,364
I've been growing
cells for a long time.
1012
01:04:06,407 --> 01:04:08,975
and it never dawned on
me to eat them, ever so,
1013
01:04:09,019 --> 01:04:12,022
it's a little bit of a shift,
1014
01:04:12,283 --> 01:04:14,154
but it's so exciting
because the things that
1015
01:04:14,198 --> 01:04:17,201
we've been learning for
decades all totally apply.
1016
01:04:17,244 --> 01:04:19,856
This is the brew?
This is the special broth?
1017
01:04:19,899 --> 01:04:21,727
It's a superfood.
1018
01:04:21,770 --> 01:04:24,034
This is a superfood,
a cellular superfood,
1019
01:04:24,077 --> 01:04:25,862
and it's a nice lavender...
1020
01:04:25,905 --> 01:04:26,993
Time to
walk over to the next spot.
1021
01:04:27,037 --> 01:04:28,777
Let's do that in a little bit.
1022
01:04:28,821 --> 01:04:30,344
You know maybe we
should actually do that now.
1023
01:04:30,388 --> 01:04:31,302
Let's
just walk over there.
1024
01:04:32,607 --> 01:04:34,348
Thank goodness, David.
Keeping our ass on time.
1025
01:04:34,392 --> 01:04:36,873
You know I'm really
showing restraint.
1026
01:04:36,916 --> 01:04:38,222
I have a lot of other questions.
1027
01:04:38,265 --> 01:04:41,529
This lab
is just being set up now
1028
01:04:41,573 --> 01:04:43,575
there will be a lot of
automation units in there.
1029
01:04:43,618 --> 01:04:46,186
There is some there are liquid
handling robots that means
1030
01:04:46,230 --> 01:04:47,884
They're handling the
feed that Casey is working with.
1031
01:04:47,927 --> 01:04:50,190
Did you
say liquid handling robots?
1032
01:04:50,234 --> 01:04:54,064
Take you around
and when we first started,
1033
01:04:54,107 --> 01:04:56,414
we were only producing
very small quantities
1034
01:04:56,457 --> 01:04:59,156
where, you know, you
can make them evolve now.
1035
01:04:59,460 --> 01:05:03,900
Since then, we can pretty much
grow as much as we need for our
1036
01:05:03,943 --> 01:05:06,946
tasting and testing purposes,
so we can do several pounds
1037
01:05:07,425 --> 01:05:11,037
of meat production
and testing at this point,
1038
01:05:11,081 --> 01:05:12,560
but the goal is
to be able to take
1039
01:05:12,604 --> 01:05:14,084
and we scale up
to a few thousand pounds.
1040
01:05:20,177 --> 01:05:21,482
There we go.
1041
01:05:22,657 --> 01:05:25,443
Trying to get it
nice and seared.
1042
01:05:41,111 --> 01:05:43,113
Let's see
if you want to just quickly--
1043
01:05:43,156 --> 01:05:49,119
This feels about as low risk a
food as I have ever eaten.
1044
01:05:49,162 --> 01:05:51,991
Even if I just signed
a high risk agreement.
1045
01:05:53,688 --> 01:05:56,387
You're not eating anything
that I am not eating
1046
01:05:57,170 --> 01:06:02,045
so you're eating meat
that comes from cells
1047
01:06:02,654 --> 01:06:04,525
from a very high
quality animal.
1048
01:06:05,396 --> 01:06:07,659
This this is still a
early stage product,
1049
01:06:07,702 --> 01:06:11,619
but I think I just want to
make sure you're looking at this
1050
01:06:11,663 --> 01:06:13,491
as a very big, historic
thing in this world.
1051
01:06:14,187 --> 01:06:17,016
So I'm anxious to see
what you think about it.
1052
01:06:18,887 --> 01:06:23,631
See it's really, you know,
see all the fibers in there?
1053
01:06:23,675 --> 01:06:27,287
See the browning of the skin?
And as you pull apart, you know
1054
01:06:27,331 --> 01:06:29,115
meat's hard to pull apart
because it's got those
1055
01:06:29,159 --> 01:06:33,206
features and those proteins
and the elasticity which is...
1056
01:06:38,168 --> 01:06:39,821
That is meat.
1057
01:06:41,040 --> 01:06:42,737
That is duck meat.
1058
01:06:44,609 --> 01:06:46,176
It's delicious!
1059
01:07:01,974 --> 01:07:07,023
It's got all the stringiness
of the strands of muscle
1060
01:07:07,806 --> 01:07:13,942
which is something you don't get
in plant based meats, of course.
1061
01:07:13,986 --> 01:07:15,335
And you don't
get that resistance
1062
01:07:15,379 --> 01:07:16,771
with the chew resistance.
1063
01:07:16,815 --> 01:07:18,947
I mean, the chew
is, it's very chewy.
1064
01:07:18,991 --> 01:07:20,340
Yes.
1065
01:07:20,384 --> 01:07:21,907
Very, it's very meaty.
1066
01:07:23,387 --> 01:07:25,432
Wow, amazing.
1067
01:07:29,219 --> 01:07:32,526
We don't take a very long
time to grow meat, right?
1068
01:07:32,570 --> 01:07:34,354
So if you have to think about
1069
01:07:34,398 --> 01:07:37,618
a cow from conception
all the way to slaughter
1070
01:07:37,662 --> 01:07:39,881
at the age of 18 to 24 months,
1071
01:07:39,925 --> 01:07:41,448
the whole process is about two
and a half years.
1072
01:07:41,492 --> 01:07:43,276
For us to grow beef,
1073
01:07:43,320 --> 01:07:46,627
if it takes about four weeks,
at the most six weeks.
1074
01:07:47,933 --> 01:07:49,413
So tell me about your inputs.
1075
01:07:49,456 --> 01:07:51,197
I mean, this gets to
the bovine growth room
1076
01:07:51,241 --> 01:07:55,114
and also the environmental
implications, right?
1077
01:07:55,158 --> 01:07:58,117
Yeah, yeah. So in the early
parts of research in this area,
1078
01:07:58,161 --> 01:07:59,988
the supply chain includes serum.
1079
01:08:00,032 --> 01:08:03,122
And when we think
about scaling this up,
1080
01:08:03,166 --> 01:08:06,299
we cannot have a supply chain
that is going to have serum.
1081
01:08:06,343 --> 01:08:09,563
That's why we want to separate
out serum from meat production.
1082
01:08:09,607 --> 01:08:13,611
or blood from meat production
and have our own feed for it.
1083
01:08:13,872 --> 01:08:16,135
So that's the process
we are working out
1084
01:08:16,179 --> 01:08:17,963
and we've developed a full end
1085
01:08:18,006 --> 01:08:21,271
to end method of growing
cells without any serum at all.
1086
01:08:22,446 --> 01:08:26,754
For us to put products on the
market completely animal free.
1087
01:08:26,798 --> 01:08:28,756
It's going to take a while.
1088
01:08:28,800 --> 01:08:31,411
There are still parts of
our research that depends
1089
01:08:31,455 --> 01:08:34,588
on getting that serum in to
understand how the cells grow.
1090
01:08:34,632 --> 01:08:36,155
Yeah, I guess what I'm wondering
1091
01:08:36,199 --> 01:08:38,026
so for the carbohydrates,
for example,
1092
01:08:38,070 --> 01:08:41,595
like are you actually using some
kind of carbohydrate source?
1093
01:08:41,639 --> 01:08:44,598
You know, for example,
some grain or I mean,
1094
01:08:44,642 --> 01:08:46,600
are there actual sort of
recognizable ingredients
1095
01:08:46,644 --> 01:08:48,254
that go into the production?
1096
01:08:48,298 --> 01:08:49,821
100%. They're all recognizable.
1097
01:08:49,864 --> 01:08:51,866
They are already in the current
feed system.
1098
01:08:51,910 --> 01:08:55,609
It's still proprietary of what
kinds of feeds that we are using
1099
01:08:55,653 --> 01:08:57,350
because we're trying
to break it down
1100
01:08:57,394 --> 01:08:59,439
and saying, okay, what is the
most efficient source
1101
01:08:59,483 --> 01:09:01,267
of like carbohydrate feed?
1102
01:09:01,311 --> 01:09:03,530
So it might be
some crop that we recognize?
1103
01:09:03,574 --> 01:09:05,619
- Right. Yeah, yeah. 100%.
- Okay. Okay.
1104
01:09:05,663 --> 01:09:09,145
So it's, you know, maybe it
might include some amount
1105
01:09:09,188 --> 01:09:11,147
of corn or soy or something?
1106
01:09:11,190 --> 01:09:14,150
I just want to address
that this as an important point.
1107
01:09:14,193 --> 01:09:16,630
It doesn't mean that we're
going to stop growing corn
1108
01:09:16,674 --> 01:09:19,851
just because we stopped
stopped growing cows?
1109
01:09:19,894 --> 01:09:24,203
- Right. There are estimates of 40
- 50% of land being used
1110
01:09:24,247 --> 01:09:26,074
to grow crops to feed animals.
1111
01:09:26,118 --> 01:09:29,382
We'll still need crops like you
said, but it's not even close
1112
01:09:29,426 --> 01:09:32,864
to the degree that we
need for keeping, you know,
a very, very large herd
1113
01:09:32,907 --> 01:09:34,518
of 70 billion animals
on this planet.
1114
01:09:34,561 --> 01:09:36,302
Keep in mind
1115
01:09:36,346 --> 01:09:38,391
you're seeing very small
scale production at this point,
1116
01:09:38,435 --> 01:09:40,567
and as we start thinking
about scaling this up,
1117
01:09:40,872 --> 01:09:43,918
one of the big areas
of innovation
1118
01:09:43,962 --> 01:09:45,224
that we'll start seeing
1119
01:09:45,268 --> 01:09:47,095
is decreasing the environmental
impact,
1120
01:09:47,139 --> 01:09:49,010
decreasing the
environmental footprint.
1121
01:09:49,054 --> 01:09:51,187
It also makes me feel
like that is the reason
1122
01:09:51,230 --> 01:09:52,884
we are here,
to solve this problem.
1123
01:09:53,537 --> 01:09:56,017
- It keeps us going.
- Biomemesis right?
1124
01:09:56,061 --> 01:09:58,194
You're listening and
learning from the animal.
1125
01:10:01,371 --> 01:10:03,547
There
is a pretty intense need to
1126
01:10:03,590 --> 01:10:05,418
innovate how we produce food.
1127
01:10:25,917 --> 01:10:28,354
Almost everything we are
doing in terms of innovation
1128
01:10:28,398 --> 01:10:33,446
is to do more with less
and that's really foundational
1129
01:10:33,490 --> 01:10:36,057
to all the conversations
in climate are happening.
1130
01:10:40,932 --> 01:10:44,892
I mean,
for instance, our idea is to
be able to grow more food,
1131
01:10:44,936 --> 01:10:47,373
more nutrient dense food,
1132
01:10:47,417 --> 01:10:50,768
with less resources to get
a pound of meat.
1133
01:11:07,045 --> 01:11:08,960
Our
target is to be able to say
1134
01:11:09,308 --> 01:11:12,268
we could use almost
ten times less land,
1135
01:11:12,616 --> 01:11:16,446
almost ten times less
water and less deforestation.
1136
01:11:19,144 --> 01:11:21,929
And all of these have a
direct impact on climate,
1137
01:11:21,973 --> 01:11:24,976
the amount of CO2
that is released.
1138
01:11:35,813 --> 01:11:37,641
There
is no methane production
1139
01:11:37,684 --> 01:11:39,425
when you're growing cells.
1140
01:11:39,469 --> 01:11:40,774
When you culture cells,
1141
01:11:40,818 --> 01:11:42,820
the cells are basically,
1142
01:11:42,863 --> 01:11:44,691
it's an oxygen and carbon
dioxide exchange
that's happening.
1143
01:11:44,735 --> 01:11:47,041
Methane doesn't
come into the picture, so
1144
01:11:47,085 --> 01:11:49,740
we don't expect to have
methane in our production
process as we scale up.
1145
01:12:05,538 --> 01:12:08,541
So I'm going to make some
pancakes for breakfast?
1146
01:12:08,585 --> 01:12:09,977
- Okay.
- Is that good?
1147
01:12:10,021 --> 01:12:11,457
Blueberries?
1148
01:12:11,501 --> 01:12:13,546
I have some blueberries
and blackberries.
1149
01:12:13,590 --> 01:12:14,591
Do you want coffee?
1150
01:12:16,027 --> 01:12:18,029
Sure.
Yeah. Do you have the decaf?
1151
01:12:18,072 --> 01:12:19,422
Sure.
1152
01:12:20,205 --> 01:12:21,902
Bananas?
1153
01:12:21,946 --> 01:12:23,295
- I'll cut them.
- Okay.
1154
01:12:25,210 --> 01:12:27,038
That's coming out nicely, too.
1155
01:12:29,388 --> 01:12:31,129
So this is from...
1156
01:12:32,522 --> 01:12:35,351
So I'm leaving
on Sunday to Minneapolis.
1157
01:12:35,394 --> 01:12:37,178
Okay. Yeah.
1158
01:12:37,222 --> 01:12:39,093
So you have a
lot of late meetings this week?
1159
01:12:39,137 --> 01:12:40,834
Yeah.
1160
01:12:40,878 --> 01:12:42,488
Can you
not do that next week, please?
1161
01:12:42,532 --> 01:12:45,099
Make sure that the kids
get home at a decent hour
1162
01:12:45,143 --> 01:12:47,058
so that you can spend some time
with the kids in the evening?
1163
01:12:47,101 --> 01:12:50,017
Yeah. I actually told Jerry to
have me out
1164
01:12:50,061 --> 01:12:52,019
every day by 5:30 or 6:00.
1165
01:12:52,063 --> 01:12:54,021
So I should
be home pretty early.
1166
01:12:54,065 --> 01:12:56,241
When I had moved to
the Bay Area,
1167
01:12:56,284 --> 01:12:58,069
of course, my family was still
1168
01:12:58,112 --> 01:13:00,245
living in Minnesota and the
kids were going to school there.
1169
01:13:01,551 --> 01:13:03,074
Thank you
for making breakfast.
1170
01:13:03,988 --> 01:13:06,251
Mrunalini had
her pediatric practice there.
1171
01:13:06,294 --> 01:13:08,340
And it was not easy.
1172
01:13:10,124 --> 01:13:12,692
But ultimately being able
to move the family here
1173
01:13:12,736 --> 01:13:17,218
and just being able to
talk to them every day.
1174
01:13:17,262 --> 01:13:21,266
Seeing them, I think has
completely changed my life.
1175
01:13:22,006 --> 01:13:25,705
Just having the opportunity
for us all to as a family
1176
01:13:25,749 --> 01:13:29,405
spend time under one roof
as we are going after
1177
01:13:29,448 --> 01:13:32,451
this very big idea
in this world,
1178
01:13:34,105 --> 01:13:35,541
I'm just very grateful.
1179
01:13:35,585 --> 01:13:37,717
I actually brought some
markup boxes
1180
01:13:37,761 --> 01:13:39,632
of our what packaging
could look like.
1181
01:13:41,982 --> 01:13:43,462
Is it
gonna be like vacuum?
1182
01:13:43,506 --> 01:13:46,900
Like you know? That sealed thing
so you can...?
1183
01:13:46,944 --> 01:13:48,902
Yeah. So people can see
what they're buying.
1184
01:13:48,946 --> 01:13:50,295
And this is the beef.
1185
01:13:50,338 --> 01:13:51,644
I like it.
1186
01:13:52,819 --> 01:13:54,908
I like this "made with love in
California".
1187
01:13:54,952 --> 01:13:57,084
When I think about the why
1188
01:13:57,128 --> 01:14:00,523
of what we're doing,
it's not a product.
1189
01:14:01,045 --> 01:14:02,829
It's much more than that.
1190
01:14:02,873 --> 01:14:06,093
It's about the way that we
want the future world to look
1191
01:14:06,137 --> 01:14:09,836
and that's what drives and
motivates Uma every day.
1192
01:14:09,880 --> 01:14:12,622
He has two hats
going at all times.
1193
01:14:12,665 --> 01:14:14,667
It's the what?
1194
01:14:14,711 --> 01:14:16,452
Like, what will it look like?
1195
01:14:16,495 --> 01:14:17,931
But the why and the how?
1196
01:14:17,975 --> 01:14:19,933
The ingredients
it says cell based
1197
01:14:19,977 --> 01:14:22,632
are grown from
cells and salt, spices.
1198
01:14:22,980 --> 01:14:25,025
Yeah. That's
what it says here, chicken,
1199
01:14:25,069 --> 01:14:27,898
cell based sea salt, spices
including chipotle pepper.
1200
01:14:28,551 --> 01:14:30,291
And same thing here.
1201
01:14:30,335 --> 01:14:33,164
Of course. Right. We need
to get labeling approved
1202
01:14:33,207 --> 01:14:35,688
and all of the
materials approved.
1203
01:14:35,732 --> 01:14:37,342
But this is what
we're thinking.
1204
01:14:39,257 --> 01:14:40,780
We've got to be
open to innovation
1205
01:14:40,824 --> 01:14:42,608
and open to conversations,
1206
01:14:42,652 --> 01:14:46,220
but also keep the focus on
which particular one will we
1207
01:14:46,264 --> 01:14:47,700
bring forward at the next step.
1208
01:14:47,744 --> 01:14:49,789
Knowing that this is not a race,
1209
01:14:49,833 --> 01:14:51,965
it's not going to be a one
and done and that we'll be
1210
01:14:52,009 --> 01:14:53,445
doing it in sequence.
1211
01:14:54,272 --> 01:14:57,318
So our focus is
entirely on scale.
1212
01:14:57,362 --> 01:15:01,366
Like we've got to produce it
at a scale that is meaningful.
1213
01:15:06,676 --> 01:15:10,201
This is just about 70,000 square
feet, rentable space here.
1214
01:15:10,680 --> 01:15:13,509
So
this is a 70,000 foot print.
1215
01:15:13,552 --> 01:15:14,988
And the height is--
1216
01:15:15,032 --> 01:15:17,034
It will easily
cost us
1217
01:15:17,077 --> 01:15:18,688
tens of millions of dollars
1218
01:15:18,731 --> 01:15:21,255
to get this first production
facility up and running.
1219
01:15:22,561 --> 01:15:24,258
The goal is not just to make
1220
01:15:24,302 --> 01:15:26,870
the meat in this facility,
but also to have it be
1221
01:15:26,913 --> 01:15:31,527
a showcase for future facilities
and for partners who can join us
1222
01:15:31,570 --> 01:15:33,920
and build out their own
production capacity
1223
01:15:33,964 --> 01:15:36,053
in their facilities using
their capital.
1224
01:15:36,096 --> 01:15:37,707
So it serves a lot of purposes
1225
01:15:37,750 --> 01:15:41,014
beyond just the meat
but it will not come cheap.
1226
01:15:41,058 --> 01:15:43,147
It's a really heavy lift
that we're taking on here.
1227
01:15:44,148 --> 01:15:45,932
There's a service
elevator that we'll take down
1228
01:15:45,976 --> 01:15:48,892
that gives you access
back down to the ground floor.
1229
01:15:49,457 --> 01:15:51,024
And if I
wanted a fireman's pole?
1230
01:15:52,983 --> 01:15:54,680
These are high ceilings.
1231
01:15:54,724 --> 01:15:56,377
Yeah, so
this is a lot bigger.
1232
01:15:56,421 --> 01:15:58,902
Oh nice, this I more than 24
feet it looks like.
1233
01:15:58,945 --> 01:16:00,381
Or maybe it's 24.
1234
01:16:00,425 --> 01:16:02,558
Yeah, so this is
20,000 square feet here
1235
01:16:02,601 --> 01:16:05,212
where you can do the
manufacturing operations.
1236
01:16:05,256 --> 01:16:06,474
Okay.
1237
01:16:06,910 --> 01:16:11,305
So you could have
a flow of basically follow
1238
01:16:11,349 --> 01:16:15,266
the process from an area
with your raw materials,
1239
01:16:15,309 --> 01:16:18,878
your media preparation
provide all the nutrients
1240
01:16:18,922 --> 01:16:23,927
for the cells back into the
bio processing suite, harvest
1241
01:16:23,970 --> 01:16:26,059
and then to the food
formulation space.
1242
01:16:26,103 --> 01:16:29,889
So you can follow a
a U shaped thing here
1243
01:16:29,933 --> 01:16:31,630
for the process
all the way around.
1244
01:16:31,674 --> 01:16:32,936
It could be really nice.
1245
01:16:35,765 --> 01:16:38,637
Our paradigm for production
will continue to evolve.
1246
01:16:38,942 --> 01:16:40,987
But this is this seems
like the most accessible,
1247
01:16:41,031 --> 01:16:45,905
relevant next step
for translating from R&D.
1248
01:16:45,949 --> 01:16:48,908
It's a launching pad.
Yes, it's a launching pad.
1249
01:16:48,952 --> 01:16:50,431
It's transformative.
1250
01:16:50,475 --> 01:16:52,520
Having it all right
here, locally sourced
1251
01:16:52,564 --> 01:16:54,305
and being able to put it out
1252
01:16:54,348 --> 01:16:56,655
Locally sourced, locally
produced, locally distributed.
1253
01:16:56,699 --> 01:16:57,787
How's that?
1254
01:16:57,830 --> 01:16:59,310
Yeah, amazing.
1255
01:16:59,353 --> 01:17:00,920
That's what
you're going to be making right?
1256
01:17:00,964 --> 01:17:02,356
I'm working on it.
I'm working on it.
1257
01:17:02,400 --> 01:17:07,971
I think it has the
potential to also be
1258
01:17:08,014 --> 01:17:11,104
that transparent venue
where people can really
1259
01:17:11,148 --> 01:17:12,671
understand how
we're making meat.
1260
01:17:12,715 --> 01:17:14,934
There
were times where Nick and I
1261
01:17:14,978 --> 01:17:16,936
in the first six months
of the company
1262
01:17:16,980 --> 01:17:18,024
looked at each other
and said
1263
01:17:18,808 --> 01:17:20,548
I don't know if
anyone will believe us.
1264
01:17:20,592 --> 01:17:22,550
And if we can actually take this
1265
01:17:22,594 --> 01:17:25,945
to a stage where we
can scale it to producing
1266
01:17:25,989 --> 01:17:29,166
meaningful amounts of
meat and you know, Nick said
1267
01:17:29,209 --> 01:17:31,777
in one of those tough moments,
"we've got to have faith".
1268
01:17:31,821 --> 01:17:33,344
I still remember that day
1269
01:17:33,387 --> 01:17:35,694
because it was one
of my lowest moments
1270
01:17:35,738 --> 01:17:37,827
because it was challenging
1271
01:17:37,870 --> 01:17:40,481
to get people to recognize it,
it was impossible
1272
01:17:40,525 --> 01:17:44,790
for people to understand
that this needed a chance.
1273
01:17:54,539 --> 01:17:56,889
The birth ofthis game changing industry
1274
01:17:56,933 --> 01:18:00,676
is no longer science fiction,it's reality.
1275
01:18:02,895 --> 01:18:07,508
The innovation of cell cultured meat, poultry, fish and seafood
1276
01:18:07,552 --> 01:18:11,164
is accelerating quicklyaround the globe
1277
01:18:11,208 --> 01:18:13,732
with pioneerson every continent.
1278
01:18:16,604 --> 01:18:18,215
Our shared humanity
1279
01:18:18,258 --> 01:18:21,218
depends on this hopefuland rapid momentum
1280
01:18:21,261 --> 01:18:25,222
towards a sustainablefuture for us,
1281
01:18:25,265 --> 01:18:26,832
the animals
1282
01:18:26,876 --> 01:18:29,400
and for our beautifulplanet Earth.
1283
01:18:36,146 --> 01:18:39,932
A kind of classic
kinda technique to get the
chicken nice and brown
1284
01:18:39,976 --> 01:18:41,629
without it getting dry.
1285
01:18:52,597 --> 01:18:54,381
We're just going to
let it rest for a minute
1286
01:18:54,425 --> 01:18:55,600
before we slice through it.
1287
01:19:05,784 --> 01:19:08,744
All right,
there is Morgan,
thanks for cooking it for us.
1288
01:19:14,488 --> 01:19:15,794
All right, cheers.
1289
01:19:41,820 --> 01:19:43,256
Delicious.
1290
01:19:51,134 --> 01:19:54,659
Everybody can come and start
taking pieces. Go for it.
1291
01:23:34,922 --> 01:23:37,708
We just grew
the part that we wanted to eat.
1292
01:23:37,751 --> 01:23:40,928
This is what Winston Churchill
was talking about in 1931.
1293
01:23:40,972 --> 01:23:43,366
I actually remember
that exact quote.
1294
01:23:43,409 --> 01:23:46,195
"We shall escape the absurdityof growing a whole chicken
1295
01:23:46,717 --> 01:23:48,936
in order to eat thebreast or wing,
1296
01:23:48,980 --> 01:23:50,547
by growing these partsseparately
1297
01:23:50,590 --> 01:23:52,027
under a suitable medium."
1298
01:23:52,810 --> 01:23:56,031
That's exactly what
we all did. All right.
101858
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