Thank you.
in in QX, a vehicles rate annualized an X summary, we million delivered So of year. at set record nearly and
deliveries. Not and Y So for the work, best kind the achieving #X Model any best-selling congratulations of was electric on of Tesla excellent vehicle was production to Y. the on XXXX. team record That's just vehicle, Model any kind Earth, vehicle worth best noting. the
many -- to know was robotics like is We in Doubling enough. such really, in I doubling I comprehend. even Like it's, say autonomy -- frankly. is scale XXXX are but fact, focused doubling We bear don't is made maximizing staying the immense. to what really, critical going on in in it volumes that down autonomy, and will XXx-ing, fruit that a investments it's in future, like not down and obviously difficult to AI manufacturing, immense
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vehicles that humanoid to overwhelmingly due robots. autonomous And is and autonomous
for the -- focus towards we're is that that. building ground then laid that's groundwork the We'll for lay continue our we to in in laying groundwork the where XXXX. So XXXX. actually And that
groundwork, the laying than actually. more fact, In
building So lines. the manufacturing we'd We're structure. the building be
And a I 'XX, ridiculous what for I'd is prediction. will XXXX and and epic ridiculously like -- be good. my setting an That up 'XX think
of few monetize ability our people the understand fleet. yet, and the value very full self-driving As to
things wolf for "Well, a drive this I time like can telling Some of these who quite it. said, boy time, damn a know cried you, But and times." said is you I've long several have the Elon there's people I'm and wolf
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their if be last like was of forever. For up But you now. a grow they're if X their year and toddler someone walks FSD is when a to toddler they're that toddler." It's a toddler it's years be They if like forever. going even to was not like of experience a It's Tesla "Oh, Have up. seen like well, meeting talks. like, a like, autonomy like people, But a thinking it's obviously old, going experience it's grown lot it's and even old, it?
for people -- understand to intuition And opposed linear that's is to is as progress. seeing to And we're it's because got. really this we've exponential difficult what human what
who for are it. time skeptical, it. it? have those who why only who people Have are the not you try doubts is are only When simply the that's who #X anyone my tried skeptical And last So tried is recommendation tried the it? people you
small XXX, a passenger car week very out typically goes a percentage. utility only has of maybe delivery. car XX can So week, cargo be so for of week. X/X it, call and in use -- hours is car people is autonomous, XX both used of delivery that is rough the that Once of it hours my it least about estimate per the per XX, for a And at hours
let's restaurants the in packages hours case or whatever the even, of middle night. may people the asleep, the day resupply So or night all deliver need are or of at can you be, but say, whatever people
same have. software the exist that cost or incremental things asset, than with these they the have that already now change, just update, -- no utility more thing That Xx a currently
I think just is. something the this will in what largest but asset Maybe it increase value history. bigger, I know be there's human don't
there And is the for rearview mirror looking don't I so except who are would precedent, one. look in people past think
autonomy So is I or try the look, you. driving upon it us. of repeat car my And the let reality advice, drive
will, working in hard it over the of time, our to U.S., So else. but as well Yes, now just everywhere annual grow works work course, well it very we're so volumes.
this -- is And year packs that constraint. will we're constraint but make constraint. in current addressing constraint addressing on our think that battery I progress is we working Our
to in And ballistic and really then really things ballistic 'XX are going year and go next 'XX.
So yes.
a bit full So on more self-driving.
vehicles. vehicle year-over-year improvement QX report continued for Our safety in safety shows
on safety full improvement and incremental be not, step another beyond the differences turn to numbers, people is and in immense XX, the And the versions somebody XX or version significant. version yet gigantic. seen then has going supervised version is have if self-driving that, So are with that very with safety XX
invest a significant to We Texas of we FSD to training And Gigafactory the training out which Cortex cluster contributor launched Austin, at in infrastructure advancement. headquarters. continue was
XXx Optimus at of range our are So at useful role. is humanoid get what the probably the to Optimus, least least ultimately full for for the needs needed to training car, robot
in complex different humanoid like how humanoid more things car. a there car? a many are You A robot can say than and X,XXXx for versus has probably a robot roles uses more
mean probably X,XXX doesn't XXx. it's the That but scales by training
like revenue, do like of do will obviously, so can we Optimus mean billion in Optimus cost really has to bananas. compute or is -- -- training to dramatically output progressively, of in be match the where it be And time. because tasks like Tesla's long-term, spend -- it's the training $XXX it it's Optimus those train with one robots. things this is potential doesn't north dropping will going obviously Optimus of But you to $XX to the trillion Now enough think I of
situation. a afford compute training of in that So can lot that obviously you
fact, even situation be deal. for at to that In a Yes, live unbelievable different be point going past, in will billion sure. the training We good inflection from quite history. that's this compute incredibly future the in is human $XXX
the So yes, is so the proof pudding. in
So unsupervised we're in full service launching in be as going to June. a paid self-driving Austin
of We in the in talked I in one to do June. able the in being confident So launch car, no initial full team. Austin an self-driving to unsupervised, feel
Texas. our in at We already have factory Teslas Fremont, we'll doing factory soon our in autonomously full self-driving be unsupervised and that operating at
obviously, of world no be [ cars in and which one our doing factories, at they actually are the cars implied the Fremont of for our with then day same cool. Austin the ] all what factory be in So picked driving in with them elsewhere because, cars is California, delivery. need into to pretty programmed rest are -- to the to with aren't spot at spot. where that every and just same in thousands it exactly lane park up we'll soon the driving The with -- And
reliably said, day, for vehicles the wild be factory they Teslas parking picked in end and line the this delivery It's in of every be spot one -- pretty with will from thousands a then So in doing them Austin. destination times the in drive to no to up Like their I the day. and customers of June to cool.
solution, stepping So sort water saying putting not And what away, require our thing. just generalized our to gently It's everything situation. solution this is of some It AI of months our not -- I'm is kind X, locality. mythical we're while X a is high-precision away of in X solution. far-off toe the literally -- our at months first make is cool, maps a sure does
So it work It's want just to we not cautious. be Austin. doesn't beyond that
put to our the top is We sure with toes does. public water, a in in in of then then it foot water, toe as make in want car put priority. okay, safety fact, the those everything the a just more our water as the general In few -- and put the be
these accurate. I'm insane, realize they that obviously, think Optimus, sound predictions to regard But that. revenue -- With I will be making to they are I absolutely prove
uncertainty it's like Optimus. station train there's the not a arriving the a Now of for because on Optimus, with exact timing at lot
We are time and the real while the station in train designing tracks. also and building the
exactly we It's impossible. sort didn't arrive the literally And like train and at train thing And absolute like station XX:XX? the how with like, and tracks in real-time the of precision? predict this designing we're why the while can
things year? roughly we succeed building several I'm in The exactly will XX,XXX end by things. think December we Will year. normal year? by of But end making in be plan Probably we the robots Yes, calls succeed the I be for useful useful will. thousand confident this those not. Optimus built Optimus several doing to of internal XX,XXX Yes, will Will do they this thousand? robots the
Optimus maybe in been which per X Tesla has our change of launch is to goal magnitude, use inform design factories expect the for production Optimus year. anything X, in run year. faster at what we next will ramped, order And ramp production for we aspirationally to production design than meaning ever like
by order of the an of aspire we that Now up a per that's order with magnitude only year, year. end kind we of if But per ramp growth to these many perhaps, magnitude half XXX year, years we're things per of making you if doesn't factor up very take let's say, talking a about. It before Xx by year. we're go a million
