hi everyone and big thanks for taking the time on you know we've been trying to get you on the podcast since uh we started it two years ago so we are super pleased that we that we have you on and indeed on your xplatform how cool yeah

uh it's pretty cool yeah I mean you have like lots of people from all around the world uh simultaneously do effectively a realtime podcast and uh it works pretty well very good well we have so much to talk about

uh love to kick off with with AI um now what's your take on where we are in the AI race just now

wow that's a long answer um there's there's so much happening in AI is the fastest advancing technology that I've ever seen of any kind and I've seen a lot of Technology

um you know barely a week goes by with without some new announcement

so uh and if you look at the amount of uh AI Hardware the computers coming online that are dedicated to AI that is increasing what looks like at least by a factor of 10 every year if not every six to nine months

so when you combine the hardware um Coming online really order of magnitude increase every you know call at least every 9 months um and uh many many software breakthroughs uh if you look at that that curve it looks insane

so I think we'll um my my my guess is that we we'll have ai that is smarter than any any one human probably to around the end of next year um and then

AI the total amount of sort of sentient compute of AI I think will probably exceed all humans in 5 years

what what is the what is the race about just now is it algorithms is it people is it computing power what what is it about just now is it the supply of chips just what is it

yeah last year it was uh chip constraint um and the hardware deployment if you break it down into the three areas of people um data and hardware and starting with Hardware last year it was about a shift Supply people could not get enough um in video chips particularly

um this year it's starting to transition to a voltage Transformer Supply so actually getting enough voltage Transformers uh put in place

so my sort of very Niche joke is Transformers for Transformers because a lot of the AI That's run is called a Transformer so you need Transformers to run Transformers

um and then next in the if you look out a year or two or certainly three years um it's just electricity availability so that's those those constraints in the hardware side

um so many of the smart world's smartest people are are doing AI people that would have done physics before in fact or had have done physics for example have moved into AI because it's just the fastest moving field

so we're seeing a lot of the best talents a lot of the smartest humans going into Ai and then uh we see along with that algorithmic breakthroughs

um and then then you start hitting the the wall with the the data problem um so

the you know you can fit all books ever written um just the text the the text in compressed form uh on one hard drive or call one one computer

um so when you when you're looking at like so called tokens to train on yeah uh and you you still think of like all the books ever written in every in in all languages by All Humans sounds like a lot certainly it's far more than any one human could could ever read um it actually is a small it's a small number of train training tokens it's just not enough

so then you you start having to look at all the videos of I created um you know all the podcasts all the everything um and and you start even running out of data there

well hopefully they hopefully they will include this podcast uh that definitely will include this podcast

what's the biggest challenge you have with uh with xai

well xai is still relatively new so it's not um you know uh like the limiting factor right now is just training our Grok version 2 model which should be do we think better than GPD 4 um and that's we're hoping to complete that in May so that's that's training right now

so it's just really we're just trying to get enough gpus online to train it fast enough to get that done in May um which I think probably will happen um and

then and and that's with uh roughly 20,000 h100s uh and and doing I think very efficient training

then the next step would be for Grok 3 which would be I guess G55 or Beyond uh would you know requires uh 100,000 Nvidia h100s training coherently so that's you know a half order of magnitude basically more training

um and then you really start to have running into this data problem where you you have to either create synthetic data or use real world video

those the the two sources of kind of like unlimited data are synthetic data and real world video which I should say Tesla has a pretty big advantage in real world video um Tesla has by far the most real world video of anyone yeah you've got a huge Library there

so when do you think so when do you think we'll see proper AGI

well it depends on how you define AGI if you define AGI as smarter than the smartest human I think it's probably end of next year like like within two years um but but that's that there's still there's still a pretty big leap beyond that to say smarter than the the machine augmented human Collective

so like is it smarter than all humans working together uh who are also using computers to augment their output and that that I think is probably five years away

one one way to look at it is is is is to try to assess um like roughly what is the ratio of digital to biological compute

last question on um on AI any new thoughts on regulation and um how it should be structured

well I I think we probably do need some sort of regulatory authority to look at the safety of AI um just as we have regulatory authorities and other Arenas to um you know o oversee aircraft and the safety of aircraft and cars and and other things you know medication so

uh now the rate at which AI is progressing is is fast is faster than probably any regulatory agency can keep up with um

but but I do have a comment on what I think is very important before achieving safe AI which is that uh it's very important to train the AI to be as truthful as possible um and not to uh yeah just to be as truthful as possible

um I think you can get some very dangerous things when you program an AI to be politically correct think that things that may seem uh relatively innocuous now but will not be so in in the future if AI has immense power

you can take the Google Gemini example where it it refused to publish to produce a picture of George Washington as a white man and and any in fact any historical figure would automatically be made diverse um because it's been programmed to insist on diversity

which sounds you know perhaps okay at first but not if the AI has so much power that it can actually enforce diversity and decide there's too many of one kind of people or too many of one sex and kill off just just kill off enough until the the diversity number is is what it's programmed to believe is correct

but don't you think this will be sorted out in the next version no no they'll make it more subtle okay and less obvious but it will still be there

okay well we'll see but where where is China where do you where is China now in I relative to the US

um I I don't know exactly what China is uh except there are a lot of very smart people in China um and they they won't be they won't be far behind the rest of the world or far behind the US

um I mean the ai ai right now is very concentrated in San Francisco and London um and then you know there's there's you know a lot happening in in China but I I'm I don't have insight into what they're doing uh except that they I'm confident they will not be far behind uh what is developed in the west yeah

um so but but but mark my words the if if uh if we do not program an AI to be as truthful as possible that that is where it will go arai that is where the danger lies yeah

mov moving T here moving to to Tesla um is is the EV conversion now going slower than you had expected just where is the speed of conversion now relative to your expectations

I think it's going quite fast actually especially Norway um absolutely well it's pretty much all there is is your your Teslas yeah there's a lot of Teslas in Norway it's crazy

thanks i' once again like to thank Norway for the support of electric vehicles um so much appreciated time so I think

it's we will the the that that electric that all vehicles will go fully electric uh it's only a matter of time um that includes aircraft ultimately and boats um obviously trains

the only thing that is ironically difficult to well you can't really make it electric is Rockets because you need you can't get away from um having to expel Mass uh you sort of Newton's third law

um but but all cars will be Electric it's only matter of time and we'll look back on combustion cause in the same way that we look at back on uh steam engines

um that that I was it was inevitable that there would be internal combustion cars and and it's just as inevitable that o cost will go electric

um and um there will be some e and you know so like it going to be a completely straight up line there will be some uh e and flow in how how far electric car is going but that but the ultimate um victory of electric cars is inevitable um and and I think the sooner we get there the better yeah

how do you see the Chinese competition here

now we generally find that the companies in China are the most competitive in the world and certainly in uh electric vehicles or cars in general the Chinese car companies are by far the most competitive um yeah that's where where we find the most toughest toughest competitive challenges

that they make great cars and they work very hard

so when you ride in one of the Chinese cars what do you think I mean you're an engineer you know what about it what do you what do you think

I haven't R I have not ridden in one lately but uh because they're not all available here you know in the US or very few are available in the US um some are available in Europe

um but from what my team tells me there are very good

moving moving out out in space um what what would it take to be self-sufficient at Mars

to be self-sufficient in Mars it's really about the the total tonnage that is delivered to the surface of Mars um so you can say like well um

I I think it's probably on the order of a million tons maybe it maybe more but somewhere between probably a million tons and 10 million tons are needed to make Mars self-sufficient

and how many Rockets is that

well I gave a presentation on this recently if people look at my my recent uh SpaceX talk but if you if you have U really uh if you have 100 tons per flight you need 10,000 flights to get to a million million tons

um and that's 100 tons landed to the surface of Mars so in order to get 100 tons land to the surface of Mars you need 500 five times that number in Earth orbit um so we do a lot of orbital refilling

um so launching sort of uh Rockets uh tanker ships over and over again that that would replenish the propellant of the ships that would go to Mars

um and then youd need a on roughly on order of 10,000 of them to get to a million tons um and

uh but we we plan to do that that that's uh that's we think we can get that done within 20 years really

so and when do you think so when do you think we'll be there for the first time

first first uh well the first Starship that will land on Mars which obviously would not not have people at first I think it's probably within about 5 years um

and then it would probably launch several ships and just confirm that they can land okay on Mars

um we'll also be doing the moon simultaneously with that so uh go taking well I think I think we'll get people back to the Moon I should say within 5 years and we'll get uh uncrewed ships landed on Ms within 5 years

and and then we be building up the production rate um and improving the design of the booster in the ship so

um so in the first people on Mars I think within seven years or so seven to nine years um

and from from there we need to rapidly increase we need massive numbers of shifts going and Earth and Mars Only are in the same quadrant of the solar system roughly for six months every two years or at least it's only possible to really transfer efficiently um from Earth to Mars I say every six months but really there's about there's a couple months where where it's ideal every 26 months

um so every two years that you would see a basically a fleet depart Mars and I think it be quite a spectacular thing to see a thousand ships depart from Mars all at once like Battle Star Galactica

what kind of new technology do we need before we'll be self-sufficient there

actually I think we have all the tech we already know all the technology that's necessary for that it just needs we just need to build so no new physics is needed for this

why is it so important for you

I think it's important for Consciousness in general um so if if we wish to maximize the lifespan of Consciousness then being a multipled species will result in a much longer uh existence of Consciousness Consciousness than if we're on one planet

if we're on one planet we're simply biting our time until there's eventually a Calamity it could be soon it could be a long time but eventually something will happen

it could be you a global Therman nuclear war it could be simply That civilization merely subsides our civilization may not die with a bang it may die with a whimper just just gradually falling into obsolescence

but if we're multiplet species then we've got two planets and and they can support each other um and we can go beyond two planets ultimately to the moons of Jupiter to the to the uh um Beyond to the the outer parts of the solar system and ultimately to other star systems

so this tiny this tiny candle of Consciousness that we have in this vast Darkness can be extended um and Amplified and we're just far more likely to uh survive as for for Consciousness to survive if we are multiplet species

you don't think it' be better to use all these resources and try to sort out Earth

well just to put this into perspective the amount of resources I'm talking about for making life multiplanetary would be less than 1% of all resources on Earth

so really you can think of it as resource allocation do you think it's worth spending half a percent of Earth Resources to ensure uh that we have redundancy in Consciousness and that we extend Consciousness Beyond Mars to other planets to to Mars and other planets and ultimately other star systems

um and then also take into account the fact that there are certain inevit there are certain things we simply cannot avoid on Earth

um like is it within your power of mind to stop World War I I don't think so no if it happens um and if we have theral Warfare our technology level will drop to the stern age um and we may never survive

and then there are we maybe get may get hit like by a comet like the dinosaurs and um you know if the dinosaurs had spaceships they they'll probably still be around

um so and then if if you wait long enough the Earth the the sun will continue to expand and eventually engulf Earth and destroy it and destroy all life

so just to give it amount a certain amount of time no matter what you do on Earth no matter how careful you are um Earth will life all life on Earth will die that it will happen is a certainty

on a slightly less gloomy note uh X Twitter yeah um what is your vision now what do you how do you see the the vision of x i goal of X is to be the best source of Truth on the internet

um and I think we're making a good you know good progress there and I mean this it's going to be like I call the everything app like if anything you want to do you can do on the xplatform

um whether it's text audio video uh payments Financial stuff um Communications of all kinds

um and then but but then also where there is publicly disseminated information is to be the best source of Truth um and I think it I think it already is that

um now people may say oh there's some piece of misinformation disinformation I say yes but look look at the replies the reply is correct that misinformation and look at Community notes and the and how good the batting average of community notes is it's extremely good it's by far the best factchecking system on the internet

um so and and a lot of people still labor under the illusion that the the the Legacy newspapers that they read are actually true there's so much nonsense in them

I mean ni how many times when do you read an article in a newspaper where you know the circumstances of what that article is and how often is it spot on no of course it's uh normally no no of course we all know it's normally wrong

but but how do you look not sure but how how do you look at the situation now for instance with with Russia uh you know the work Russia does in Germany with fake accounts on it's pretty pretty huge uh activity right

I mean we don't see a lot of Russian it to be frank um on the system um so we we see very little

um we do we do see a lot of lot of attempts to influence things but they seem to be coming from from the West not from from Russia right

what about um what about things like the latest developments in in Brazil and so on yeah sure yeah so the the

uh we we kept getting these demands from um uh this uh Judge Alexander um that's his that's his name on Twitter Alexander um and there would be to suspend accounts um immediately we're given typically two hours to suspend an account or face massive fines

um and the the final sto we were were being given given demands to suspend sitting sitting members of the parliament and major journalists and moreover we could not tell them that it this was at the beest of uh Alexander Morales we had to pretend that it was due to our rules of service and that was the final straw and we said no

now um when you when you bought Twitter um now renamed X did you expect that you would end up in these type of situations so it's is all unexpected

well I knew it wouldn't be just a total B of roses um you know and it's fing I [Laughter] wouldn't um no I mean I thought it would be since we're just like rigorously trying to pursue the the the goal of being the most accurate and truthful place in the internet and that that doesn't mean that what is said is always true or accurate but is it is perhaps another way to frame it is as the least inaccurate place on the internet

do you do you see clear do you secretly think this is a bit fun it's fun yeah yeah it's fun at times it's stressful at times and it's fun at times

um but overall we're trying to serve the people of Earth um and and and and this is sort of an S sort of maybe an esic way of viewing it but um to try to be kind of like the the group consciousness of Earth so you can think of like if each person is like a neuron contributing to like the collective brain of Earth and you want to try to minimize the noise and maximize the signal of every neuron that's connected to the the X Network that that's basically what what is what is the collective will of of humanity and and how and and and and how to yeah just serve the collective will of humanity and so serve the greater good that that's our goal

um now there there's definitely going to be people who want to manipulate that information and so we have to fight that and try to have uh you know be it be the most accurate place as part to the best of our ability and have it be kind of a Marketplace of ideas where people can propose ideas and you know debate them and um I think so far it's working reasonably well in that regard

um now people that don't like the truth will not like those or if they want to manipulate things they will not like it

but only but only a few years ago you were you were a guy um producing electric vehicles now you are you know through starlink you've had some you know I mean some big impact in in Ukraine uh with Twitter you are kind of into some issues in uh you know Brazil India Turkey um you know you're becoming like a real geopolitical force and a really important one how do you how do you look at that

well like I said I'm really I'm trying to take the set of actions that maximize the probability that the future is good

um I mean we have to keep civilization going onward and upward as much as possible and um and try to minimize the civilizational threats that occur

um you know we we we can't get to Mars if civilization collapses it's not going to happen so um you know we've got to we've got to keep um keep civilization going

um and I think we should view our civilization as being much more fragile than we think we kind of take for granted oh it's always going to be there but actually if you study history you realize that there Rise you know there's rise and fall civilization

um I mean I was I was reading in depth about the ancient samarians um who were arguably the first civilization if you call civilization like writing and stuff you know they were the first to develop writing um and uh but eventually they died out and they were gone so and then nobody could read the writing at all and and they they just faded out as a civilization um but they're pretty impressive in their time

and the ancient Egyptians the same thing um and uh you know one sort of one after another uh ancient Greek had it Greece had its day uh you know China and India had will have incredibly impressed populations but there's been EVs and flows in the uh CH China and Indian civilizations over the the the aons you know the blenn as well um

so you know I I guess I'm just trying to take this this set of the steps that um increase uh the scope and scale of Consciousness that's that's what I'm trying to do it's not it's not that I'm trying to have a put a political thumb on the scale or anything like that um but I I think I'm trying to have the political will go where the people want it to go

you you mentioned some um some uh uh really smart people here and um kind of just moving t a bit here to Copa culture now you manage a lot of geniuses in your in your companies what is the key to manage really smart people you think

I don't I don't think I manage smart people they manage themselves um I I think well I guess with really smart people you know I don't really think of of it like managing them

I think that if somebody's very smart and talented they they can go anywhere and do anything anytime like if they they they don't have to work with me they could go anywhere

so I I really just say like look this is the the goal we're after and this is what we're trying to achieve and do you agree with this goal and if you do then let's try to get it done

um and um you know provide my opinion along the way and once in a while I'll say look guys you just got to trust me on on this one we got to do this thing and if it turns out to be a bad decision you we can can all hold that against me in the future

but you have an incredible eye for detail right I mean when we read the is book um it's pretty clear that you I mean you really are are deep into detail and know what you talk about

so how do you how do you balance this um kind of micromanagement of some areas and then delegate other

I wouldn't I wouldn't call it micromanagement um it's just insisting on atttention to detail that um if you're trying to make a perfect product you must have attention to attent attention to details is essential

um and I haven't actually read the isacon book you should it's very good actually I Lov it

well I I asked Walter isacon if I should read it and he said I shouldn't um so so then he said I shouldn't read it so okay

well I'll I'll ask you some questions from the book then they you he talks about you know you the kind of the hardcore and Ultra Hardcore culture what is an Ultra Hardcore culture I guess it's work I mean it's working culture right I mean how how I mean Ultra hard work how hard is that

well when things get really intense you're basically just working every waking hour

and how and how long can you do that for I've done that for well continuously for sometimes like a few years

what does it what does it du to you it really it's pain um and and every waking hour maybe it's an exaggeration because there are a few hours um obviously with friends and family and and critical other things um

but 100 hour weeks would be I I've done many many stretches of 100 hour weeks like true 100 hour weeks um where roughly six hours per day is sleeping

um I would not recommend that this is not that's for emergencies you know it's not uh all the time

um you know during very difficult times at Tesla I've had to do that and sometimes at the beginning of my earlier start offs I did that where I just wouldn't leave the office I would just sleep under my desk and just work seven days a week

um sometimes it's necessary for success or or to avoid failure

um but but do you you do you enjoy being in this crisis mode no I don't it sucks okay no I I don't want to be there it's pain but sometimes it's the between success and failure

when you make decisions how important is speed

he just gave me an idea which is um I'm GNA invite the uh Judge Al Alexander R uh to do a spaces and then he can explain why what I'm doing is bad and and and maybe he's right I challenge I challenge him to a spacers sounds good yeah

but what about when you make when you when you make decisions how how important is speed and how do you how do you balance analysis with your gutfield

I think the the the best offense and defense is speed if you think of something like the SR71 Blackbird it really had almost no defenses except accelerate and it was never shut down even once like I think over 3,000 missiles were shot at the SR71 blackb and non hit and and really what it did was just go faster so the the power of speed is uh underappreciated as a competitive Dimension

um is that why um you know Space X expenence has been so successful because you've been mean and lean as an organization and fast think speed speed is uh definitely a factor

now I should say you want to go in the case of a company you you need to be a vector not a scaler so it can't be you need to go at high speed in the right direction

sure so can I just so and no company's going to be going in the right direction all the time you have to do course Corrections like a guided missile you qued course Corrections

um and uh but in the case of SpaceX it's like okay our goal is to extend Humanity beyond Earth um and we didn't even know how to even frame the question correctly like what what which knew that that was the General goal

um we didn't know what pent we' use or what the raw materials would be or for the how would the rocket be built how would it be designed what's actually important

um and uh you know so for example going from our Falcon architecture which is um uses refined jet fuel and liquid oxygen um in a um open cycle gas generator architecture engine to a to Starship which is a uh liquid methane liquid oxygen um uh propellant uh in a staged combustion very high pressure engine um that that that's that's a big architectural change

um but we didn't know that we we needed to make that architectural change until we're pretty far down the road like about halfway took us about 10 years to figure out that was even the right architecture now we're confident it is

um just um we were on um uh risk-taking and so on I think SpaceX is one of the best example I know about uh what we call failing well right learning from mistakes and moving on

um what generally how do you how do you look at mistakes well I mean which which ones do you tolerate and which ones don't you tolerate

well I I I think I don't really think of that way uh you know the first three flights of SpaceX failed um the fourth one succeeded

and if if the fourth one had not succeeded we would have gone bankrupt we would have had no money left so it was a very close call

um but since then space has done very well it's now the the Falcon 9 you know knock on wood is the most reliable rocket in the world um and launches about every um two to three days now um

last question on risk what are the types of risk you would not want to take

uh well I I think in in terms of risks you don't you you don't want to take risks that where if if you only want to take bet the company risks if they're absolutely necessary

so there have been a few times where saying the T with Tesla we we just had no choice but to V the company because if if we're in if we're doing a new vehicle program that is uh in order of magnitude larger than the past one then we're by we're just unequivocally betting the company because the new vehicle would be 90% of production

so going from uh the original Roadster to the model S original Roadster was only you know about 600 6 700 per year then Model S was 20,000 per year and um and then model 3 is sort of half sort of half a million per year um model y over a million per year so these are all bet the company vehicles

but the the the reason we could do for example a Cybertruck which was kind of a a radical new design was because it wasn't a bet the company decision

so I was like okay look let's try something I want to try something totally crazy uh it's like what what truck would Blade Runner Drive um except the when you're going to drive on was yeah I think it would be perfect for Ms um but like we could try something that where there's some chance that people might not like it um but it's it's radical and new and it's aesthetically aesthetically it's not derivative it doesn't look anything else on the road um whereas all the other sort of pickup trucks look like vague copies of one another

um they we could afford to take a chance on failure and say like and talk it up to you know well we tried you know we try to do something interesting but but actually by the way Cybertruck's doing great um so

uh but one of the things that I think is important for Innovation is that you do accept failure like like necessarily you have to always look at the incentive structure of an organization and say um you know is is is that is that organization properly incenting Innovation

um and in with if you do Innovation you're necessarily going to Uncharted Territory so they going to be some mistakes they're going to be some failures

um and you have you have to like like actually like for for SpaceX uh rocket engine development like I keep telling the team look if we're not occasionally blowing up an engine on the test stand we're not trying hard enough you know um absolutely absolutely

how important are the P how important is research and phds and that kind of stuff think I've said seen somewhere you you think most phds are useless

well I think most PhD thesis are useless which I think is actually objectively true if you look at how many PhD you look at all how many phds are created every year and how many of those papers are actually used in anything yeah um then objectively most PhD TCS are have very low utility or maybe zero um because nobody uses them um or so

once in a while you get something that is spectacular but it's pretty rare

perhaps something more useful um is in the book that you haven't read uh talks about your love for uh gaming in particular like stret IC ability gaming and I've been thinking quite a lot about it um what have you learned from from those games and have have that learning and wisdom been helpful when you have been planning your companies

yeah I it's hard to say exactly what I've learned from video games except that I I do like playing video games as if I want to take my mind off work I'll typically play a very hard video game

such such as which one well over the years it's been many many different video games um so you know when I was a little kid I was like you know pong and little tank games and things and um

but if you take a game like for example civilization it's actually quite a good um it tells you how how civilizations are formed like I remember I remember playing the original civilization with the technology tree and and how you invent different things you'd like invent literacy and uh you know invent democracy and invent gun gunpowder all all these things that like and you start to realize oh wow there's there are stages to technology like you can't um you know you can't actually get to democracy without literacy

um and um you know so there's these these stages of of Technology development or stages of ideas that uh you know that's that's a helpful framework for a company

um and I guess in in in like like I say in recent years there there's a game I played that was um actually developed in Sweden called polyopia which is actually quite a good game

um like a lot of people like playing chess but I think chess is not a not a great um there's not a lot of transfer learning from chess to the real world because in chess you've got only 64 squares uh it's a setpiece battle same pieces every time there are no terrain differences uh there's no technology tree uh there's no fog of War

um but say a game like polyopia has all of those things uh random terrain generation uh you know the differences in attack and defense bonuses depending on what type of terrain um you've got 16 tribes I think each with different abilities um you've got a a a technology tree that you can choose to develop in different ways uh and you've got of course fog of War

um so that I think is much more much closer to reality yeah yeah um so I think politopia I mean I I was I was playing Diablo uh for a while pretty fun um

Diablo as high levels gets very complicated they you could call it like a a spreadsheet with a game attached um so so that's that's and I briefly got the the for about a day the world record in this avire of zir on on a four-person team of of clearing the the hardest level um which was you know not bad for someone who's like 53 basically will be 53 soon

um there is still some uh twitch element to it and um it's hard to beat kids at games with a twitch element um but yeah I like uh I find these games interesting if you can be fully immersed in a game

some last questions here um as you know we are big shareholders and uh made a a lot of money uh on our investment o okay I can hear you here okay good sounds good good to go sorry I can you I think everyone can hear me let's see thumbs up if you can hear me let's try again okay okay sounds good sounds good

um now um what is the score now of in terms of the Union in Sweden and the collective bargaining actually I I think uh I think the storm has passed on that front I think things are in reasonably good shape in Sweden um so uh yeah I think things are good um yeah overall yeah I feel pretty good about the future I mean you know there's going to be bumpy quarters from you know here and there but I think the long-term future of Tesla is extremely strong uh for example um yeah I'm I'm back on just so um yeah we met with uh we met with your chair last month so we we have some update but any any of view on it why are you why why are you skeptical to colletive I was playing with a soundboard here wo hello hello hello yeah last question for me um sorry I didn't hear the answer here because I was out but um we have covered this with with your chair but just a last question here what do you want your legacy to be

I I don't I don't mind if uh my legacy is accurate or inaccurate uh provided that I I dive feeling that I've done the right thing for the future of Consciousness so just trying to trying to have this SL of Consciousness last as long as possible and maybe understand more about the nature of the universe or simulation or whatever this is

so um I have a philos philosophy of curiosity which is to understand the understand the universe understand the nature of the universe um or even what questions to ask kind of like that I would say I would subscribe to the Douglas Adams hus guys of the Galaxy School of philosophy that we're trying to understand what questions to ask about the answer that is the universe

okay I think that's a good place to end um for sure the life on this planet would have been been a lot more boring without you I'm I'm glad to it up a little totally all right well good talking bye take care now all right bye thanks bye

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