268. AI Practical Advice For The Worried

hello and welcome to session 268 in the
arctic.com training group tonight we
will be discussing the post AI practical
advice for the worried by three muscle
routes
three most of which is uh the founder
and probably CEO of belter research he's
also a professional in Magic the
Gathering player and the CEO of mitimate
this is a post from the beginning of
this month and it was posted on his
personal blog called don't worry about
the vase which is a a reference to this
scene in in The Matrix where the Oracle
tells new not to worry about the vase
that he's about to break
so practical advice for the word it
turns out that I am in fact the target
our audience for this because I am
worried and that makes it always for me
to evaluate this text on the criteria
whether the advice is in fact practical
for me
um and I've tried to give examples of my
own situation in order to to answer this
question
but I'd also like to upfront give some
of my advice that I think
um in some respects differ quite a bit
from Swiss
the the first one that I think is really
Central is if you're really worried then
you should strongly consider to actually
do something actually try to work on AI
safety think hard about it see if you
can find even some minor way to
contribute that is in my estimate likely
to be very psychologically beneficial uh
like you get a bit more of an internal
locus of control that I think are very
valuable uh in this kind of situation
for many people
um you also plug into a supportive
Community which also can help and can
not help depending on what part of the
community you go to
um and there are in fact some actions
that are really easy to do like upvoting
posts unless wrong or something like
that it's very a very simple way to
contribute that I'm certain that uh even
people who have very little technical
skill will be able to do productively
so one of my key practical advice is uh
one that sweet does talk a bit about but
it does not talk enough about like you
need to focus if your word on your
mental health and uh trying to uh get
yourself in a position that doesn't
deteriorate for uh for your mental
health and like it depends a lot on who
you are and what what you respond to but
I think this should be a core priority
four classic ways to do that is to
exercise eat and sleep and avoid drama
all these kind of things
um in particular
um one thing that you should think about
is like what is your financial situation
because uh sweet talks about
um borrowing money but a lot of people
have in fact saved up money so I think a
core consideration is
um how much money do we have uh and at
what point can you afford not to get
paid from now until you expect that
there is probably some kind of
Singularity of fire alarm
a very strong Louis that I think you can
use for uh adjusting your
um that is very practical to adjust is
what media you read what blocks do you
see do you like Doom scroll on Twitter I
think it's a term and I think that's a
an important thing to avoid
for most people but I say for most
people because there's a classic saying
that you need to reverse all the advice
that you get because what is right for
one person may be exactly wrong for the
other person a perhaps the best way
around this is to do some kind of uh
experimentation like try to abstain from
Reading social media for a week and see
if that makes you feel better
um that's a very easy experiment to do
and likely to be very beneficial
and finally when someone asks me for
practical advice the thing I tell them
is to make sure you hug your loved ones
both instrumentally and as a final goal
now for the text itself it starts out
with some arguments against AGI some
arguments against not being maximally
worried and
um
three considers it's an open question
and says there are in fact good reasons
to think that we won't have AGI for a
long time and I think there are reasons
why we wouldn't have it there are
scenarios
but none of them come rise to the level
where I would call them a good reason
um the first three uh um uh shows is we
could run out of train data train data
clearly has been a very substantial part
of the uh the story of how AI has
improved to this point and
um like we have all the the checks on
the internet but uh will we get more
well I think it's very obvious that we
are going to see more things like videos
uh obvious training data that we uh
probably can unlock soon interactions
with the physical world is another big
thing that we almost certainly uh will
see more of in the future
um and there are others that have been
suggested
um in I think it's certainly a
possibility that this could fail I think
humans are a strong counter example to
this humans are generally intelligent
and humans can in fact be trained by the
amount of evidence there exists in the
world
another arguments against agis that we
could just run out of ways to improve AI
right now uh I think we are seeing
algorithmic improvements small but but
real Hardware improvements following
roughly most law uh give or take an
organizational improvements like just
larger projects we see these three kinds
of uh improvements very often and there
are no obvious other limits to those
um we may see reculatory barriers that
prevents AI from having a big economic
impact I actually think this is very
very likely I think we are not very very
like that's always stating the case my
model strongly has that once AI becomes
capable of doing very important economic
productivity then this will be our Lord
um and I think that is
um very uh plausible but on the other
hand this doesn't actually Bear on AI
risk as such because uh AI risk is that
at some point the AI will be powerful
enough to ignore these regulations and
take over and and that point isn't
affected very much by the extent to
which AI is prevented from impacting
much of the economy a little of course
because it depends on how much uh
investment is done but this kind of
regulatory barriers will only happen at
very very high levels
finally we could see other barriers to
AGI
um I think like
um if we are not fundamentally confused
about AGI which totally is a thing that
could happen then the thing I see
happening here is some kind of AI safety
success coordination or some other way
of uh preventing AGI that like it could
be a catastrophe for instance a global
thermonuclear war would totally prevent
AGI for a long time
um but that's not really something a lot
of people hope and and I haven't really
seen anyone make a strong argument for
this kind of coordination being feasible
in the very short term or or other
similar cases that would prevent
um uh if AGI continues on Trend due to a
training compute Etc then what precisely
would prevent it seems very way to me
and so this is just the argument against
AGI there is of course one more step in
the reasoning chain from AJ from where
we are now to X risk and that is that
once we have AGI will we then die and uh
three says uh yes if we get AGI
reasonably soon he expects that we will
all die
um so how should you think about this so
he says you should think for yourself if
this is something that is really
important to you and this is something
that will affect your decisions you
shouldn't just adapt to this position or
anyone else you should think for
yourself
and you shouldn't uh update too much
about like who has the the social
process of figuring out who can I trust
uh to make decisions about this kind of
thing
I think uh this may not be true uh like
this will uh AI risk of course impacts
everybody and both impact people who
have like a competitive advantage in
building models and understanding the
core of the issues and people who are
skilled in social cognition
um and for these people relying on
social cognition may be the best bet
I would worry here in this case I think
I have seen a number of examples of
people who believe that they have very
good social cognition and then they make
very poor decisions in practice uh like
um if you are if you claim that you have
a strong social cognition on these kind
of issues then probably the people who
who said you should invest in Bitcoins
you listen to them right because if you
if you are able to make good decisions
in this way
um so I think there's a good chance that
you that people overestimate their own
abilities of social cognition
and obviously the thing you should do
instead is to build your own
understanding and your own model and in
this I would personally uh suggest that
people
don't put too much stock in the outside
View and much more stuck on the inside
view
and finally you should decide what you
predict and uh like I think this is like
technically wrong you first make your
predictions and then you make your
decisions
um but uh that may be a minor point
so how should you react to uh to this
new situation that we're in just
reacting properly our upfront three
states this is hard most people react
poorly and
um the the idea that oh you should just
contribute is actually one that is
surprising surprisingly hard because if
you go into Ai and think I'm gonna help
with this problem then there is a very
real risk that you'll just end up making
the problem worse it's really hard to
work on safety without working on
capability and a lot of people have been
burned on this
how about suppressing the information is
that a good idea well the the bad things
the disadvantages of suppressing the
idea is that it's for yourself sub
optimal like it's much better if you
react to uh to what is going on and it's
much better for society like if you
there is something you can do then it's
much better that you do it but on the
plus side there are advantages to
suppressing you avoid existential
despair you don't ruin your financial
future by taking on your unsustainable
debt you don't miss out on the important
things in the in life and you don't make
the problem worse and those are in fact
substantial advantages
now these things like not ruining your
financial future and avoiding
existentials despair many people can do
that just fine without worrying about AI
risk and I don't think actually that
suppressing is a like
um as presented here as a binary choice
is very realistic most likely a lot of
people are going to be somewhere in
between slightly suppressing and not
fully suppressing and in this case there
may be things that you can do to capture
most of the value anyway
so he warns about uh dramatically
overreacting making an example of this
person on Twitter something
um who suggests you should make space
for questioning if your life plan makes
sense in light of these developments
um I think that is in fact not a
dramatic overreaction I don't know why
it's really
um puts that label on on this imminently
sensible uh statement
so how do you in fact make good
decisions well
um three uh has a very simplified guide
for this first you decide what is the
probability that we'll have AGI soon and
what is the probability that things will
go fine and what if we have ATI soon and
what are the probability that we will
have a Extinction and then once you have
these probabilities then you look at
your life decisions and uh try to
calculate are they actually good
um
so I am very much on in two minds about
the utility of this kind of easy guide
to making decisions
um because like on one hand I think if
you want to make good decisions like
this is a very big subject how do you
make good decisions and the classic
answer that I would give is like read
the sequences
um uh and I realize this is a
uh a big thing but I do in fact think
that it's a very important uh topic
um and one of the things that the ways
that this model really suffers is that
if you just say soon without any kind of
definition of soon then this makes uh uh
the algorithms shown here way too awake
in my uh opinion I think you actually
really do need some kind of probable
distribution of how many years until AGI
uh in order to make any kind of
reasonable uh decision
I also think that if you really want to
to have this
influence the decisions of your life you
should take the time to actually
really look into this in more detail and
like if you have a big life question
like should you have children and then
you should spend more than five minutes
because it's something that is really in
fact really really important
there are tools for how to make
decisions with this kind of
probabilistic
Frameworks I haven't actually used them
so I don't uh know if I can recommend
them
so he has this nice
um uh summary take care remember it is
easy to fool yourself and although he
doesn't state it uh I think this is this
can be thought of as a summary of the
sequences and of course it is very easy
to fool yourself and just knowing that
it's uh very easy to fool yourself does
not liberate you from the problem of
fooling yourself
so the big statement here is normal life
is worth living even if a very high
probability of Doom and for that
happening soon
why is this uh well the first argument
for this is that it is in fact possible
that we won't have to a normal future
could still happen
and
um
in that case to you it is important
psychologically to be prepared for that
should it happen and if you're not
prepared for a normal future then that
will stress you out
um I think in this case it's three very
strongly generalizes about what is
psychologically important and to some
people it may be true and to some people
it may not
um and in particular in if I look at my
own personal situation then I don't need
to be prepared because I am in fact
already prepared and the reason why I'm
already prepared is because I'm the kind
of person where if I'm not ready for a
normal future that would stress me out
so uh even before I learned about AGI I
started getting prepared for my normal
future because that's the kind of person
I am so and for that reason I don't need
to be even more prepared so this
in general people who feel that they
need to be prepared are already prepared
for a normal life so I don't think this
is an argument uh why you should focus
on uh particular on on this case in in
spite of the evidence
another reason for living a normal life
is that you'll encounter practical
problems if you abandon the normal life
first you will have problems with the
people who love you
so I have in fact not had a lot of
problems with the people who love you
um they are in general pretty supportive
and I'm very very grateful for that and
I think like in general you could say
that yeah if they love you then of
course by definition they are supportive
that's part of what loving means but I
realize that for a lot of people like
the support of the loved ones are not in
fact something they can count on
um
the second is in professional
interactions what do people actually uh
uh think of you when you when you say
actually I believe that AI will at some
point be very very dangerous well I've
actually talked with a number of people
about this and they seem surprisingly
accepting of this they think yeah that
seems totally reasonable they agree that
there is in fact a probability that AI
will kill us all
um like it's of course an open question
to what extent they just humor me or
something like that but I think a lot of
people uh working in AI
think that this is in fact something
that could happen uh
it may also give problems in relating to
the world
um I think this is true uh but I also
think that you relate better to the
World by
um
like the the listening of tasky is that
if the sky is blue I desire to believe
that the sky is blue uh and the same way
with P doom and I think that there are
in fact ways you could I think it's
called derealization or something like
that uh there are psychological
processes that are harmful that can
happen but in general I feel you relate
better to the world if you look straight
at the world
finally it will become difficult to
admit you made a mistake if the
consequences of doing so seem too dire
and this I believe three means that if
you change your life to deal with AI
risk and then you figure out AI risk
isn't actually that high then changing
your mind becomes very difficult but I
think this is in fact a symmetric
argument it also goes the other way if
you prioritize a normal life too much
then
uh changing your mind away from the
normal life and the normal career and
all these kind of thing uh is also
extremely costly
um so I think in fact it may be
substantially more costly if you believe
that there is a high probability of Doom
to
um to ER on the side of normalcy
so should you take on depth like if you
take up that you should realize that it
may come back to bite you potentially
far sooner than you think
um and on the other hand the uh
advantages of living in a normal World
they uh they come much faster
than you expect or that most people
expect and I think at this point uh I
would have preferred to be to be much
more clear about what soon means because
if you have timelines that say one year
then that's very different from
timelines let's say 10 years and also
like
um the uh the best time to influence the
world may in fact not be right before
the singularity but sometime in advance
um and uh there may be time between AGI
and existential risk I think these
things need to be uh exempt in in
Greater detail because it does in fact
matter very much what you should do
whether you believe you have on average
one year or you have 10 years
this is a statement that puzzled me a
bit there are no good ways to sacrifice
quite a lot of utility in the normal
case and in exchange get good
experiential value in unusual case
now the straightforward reading of this
seems totally false right there are in
fact a lot of ways to sacrifice a lot of
utility in the normal case but then have
a high risk High reward thing like uh
maybe I'm misreading this it's possible
I I'm not entirely sure what
experiential value means in in this case
um so maybe I'm just misunderstanding
but the classic example of a high risk
High reward option that uh that
um that satisfies this is to quit your
job and start a company in many many
cases private in most cases you'll lose
utility and in a few cases you'll gain a
lot of utility and on average this is
probably a good idea for many people
now that isn't in fact the thing that I
would argue for starting your own
company I would start uh I would accuse
you should instead quit your job and
work on AI safety
um but I think this also satisfies the
criteria
you can't do things like move
consumption forward uh work on your
bucket list and take on a bit of depth
seems useful but there are strong
marginal returns to this
um and I agree I have in fact done
something like this uh I stopped saving
for retirement and put it into
aicity.com
quite a few years ago
um so so this is something that I um I
agree with
how about burning your candle at both
ends well the cost for doing that seem
to accrue quickly you'll get burnout
you'll get stressed you'll get
existential angst
um and I agree you will get all of this
uh I think in fact uh you'll of course
obviously get burnt out and stress will
you get more existential angst from
working hard I would actually expect the
opposite I would expect that the harder
you are working at AI safety or
preventing a catastrophe the less
existential angst you get but
people are different and you may in fact
be different
and the disadvantages like burnout is
like instrumentally very bad and the
idea is you instead maintain your
capacity and then later a miracle of
some kind will happen to model violation
and then you are able to do something
and I think this is true like
working really hard can be kind of like
sprinting and like if you've tried
sprinting then like you can Sprint for
10 seconds or something like that so you
really really need timelines for that to
make sense in almost all other cases you
need to be deliberately pacing yourself
and three stating then contributing
while living a normal life is more
effective and I think it's a hypothesis
that you really need to consider that
you should not burn your candle at both
ends but it may also in fact not be true
like them it may be that the correct
thing to do would be to just move to
Berkeley and uh find some people there
and work on AIC to is in fact more
effective uh like it is not a given
thing that it will always be more
effective to to live in a normal life
foreign
there are people in the past who have
reacted badly to this kind of thing and
three gives a few examples and yeah I
agree some people have reacted badly
that's not really that surprising
because like if you look over the
history of mankind I'm sure that a lot
of people have reacted to things in a
less than optimal way I do think we
should still take this into serious
consideration like uh it's called
noticing the skulls like you're walking
down a path and then you notice that uh
actually a lot of skulls along the way
and then a good rationalist will stop
and say hmm this is something I should
really consider so depending on how many
I don't think to be really argues that
it's a lot of people but some people
have in fact gotten burned by this maybe
we are getting burnt well it is
something we should consider are we is
this a local information Cascade where
I'm updating on someone who's updating
on someone who's updating on someone and
this is in fact people updating on each
other and not some uh some smart uh
people making some actual decisions I
think there's something you need to
consider whether there is actual
information coming in or it's just a
local information Cascade I think like
um we have now GT4 and I think
um in Palm and
um Claude I think it's quite clear that
information is coming in but you should
still be aware that you could be in a
local information
a an interesting point that I haven't
seen written explicitly before is you
shouldn't be consistent just to satisfy
people who ask for consistency I think
this is a knee point and I'm happy to to
see it explicitly here
oops
um and then of course the more uncertain
you are about timelines the more
reasonable uh
it is to not take on a lot of depth and
try to aim for some kind of knowledge
the last part is structures as a
question and answer session
so the first question is should I say
for retirement
and Swede says well it doesn't
explicitly say no but says you should
probably focus on building up asset
value over time because that is valuable
if there is uh
um some kind of uh if there is a uh some
later information that lead well sweet
doesn't actually say that um he's just
it's valuable in both cases and so what
I did was once I finished uh my studies
I started saving up and the reason I
explicitly gave before saving up was
that right now we're in a good situation
and it's really nice to have uh some
money saved up if later there is some if
later there is a bad situation
um so that is in fact the right reason
that I would
um condone after this I
um I think the thing uh to me is missing
here is some kind of stock criteria
because saving up for retirement and
building that up asset value over time
is a really good idea but you also need
to spend it at some point like um and
you can't we don't expect a fire alarm
so what will be your stop criteria what
would be the time where you stop saving
for retirement and then quit your job to
work on AI safety you you need to have
some idea about well that is a thing
that could actually happen
a more extreme version is to just check
on depth that you can't pay back and
three is negative on that is that that
will require a lot of confidence in both
that there is uh will be doomed and that
will consume and you also need to have
good way to spend the money like if you
um take on a lot of depth and then you
blow it on something that is totally
irrelevant then that sounds like a uh
something you will strongly regret
did you buy a house
um so he says maybe like there are tax
advantages and things like that but
um psychologically it can be hard to
sell for some people and I think in
particular a house makes it much more
likely that your location becomes fixed
um and that is something like it is very
possible like
um I haven't moved to Berkeley I can't
move to Berkeley because I have a wife
and children here and a house also uh
and this kind of Route can in fact be a
substantial obstacle
should you start a business
um three is in general uh bullish on
people starting businesses he just says
as long as you don't make the problem
worse by uh doing something with AI I
think I am more optimistic about not
making the problem worse I think if you
are starting a company that uses AI then
the amount of extra money and hype
you're putting into AI may be extremely
small
you can make it even smaller by being in
stealth mode uh or just not hyping the
business that's what I'm doing and I
think
I am pretty confident that this is in
fact not making the problem worse
should you have kids
uh three is positive on this he believes
they are valuable as an end in
themselves it gives you something to
protect
um
there are a few well-placed researchers
who should not but you are probably not
one of them
um and
um I think this is too simple analysis
of a very difficult difficult subject I
think uh an obvious clip answer is that
yeah there are s risks in fact and this
may be a very good argument for not
having children right now another is
that you'll are just really expensive in
time and money and there is a long tail
it is very possible to have children who
have some kind of special needs and this
can seriously uh like uh take up
literally all your time and money and
that is something you uh you need to
consider as well
I think in fact if you're doing some
kind of utilitarian calculus here then
that may in fact come out quite strongly
to not having children and maybe later
if everything becomes normal then
adopting or something like that uh if it
becomes too late for biological reasons
I think the utilitarian calculus
disagrees with this and I think in fact
this is something that you should really
really seriously consider
okay but if you already have children
should you tell them about ai's risk uh
well you shouldn't quite hide
information I think this video is
strongly against hiding information from
children but at the same time it
shouldn't be emphasized
I disagree with this uh in how I raise
my children in that I do in fact hide
dark stuff from small children I think
that is in fact the the right way to do
that
um but
um I don't uh hide like
the the gray stuff I had the very dark
stuff but not the gray stuff so they
know what I'm doing that it's like AI
safety but they don't care very much
about that because like children have
many other things in in their heads
how about normies should I explain
what's coming to them
um so this is just being open and honest
but not shoving it in in people's faces
um and like I sometimes when I explain
what I'm doing they
ask a little but very little people
generally really really don't care
um I think that is fortunate in that I
don't think that it helps uh shoving it
into people's face so we are lucky to be
in a situation where it's both immoral
and
um not helpful to shove it in people's
faces
um but
um let's move to unlock
also a consideration is like if uh just
before the end it becomes apparent that
AI is very very dangerous uh then you
should be prepared that uh numbers
around you may blame you like the making
interpretation of Ethics say that you
have a special uh responsibility since
you're working with the problem
so how about forgetting things uh this
and just having a good time
um
this probably won't work unfortunately
um it's if you try to forget about it
and then just try to enjoy your life you
will be consumed by worry uh Jesus he
would rather go down fighting and um I
basically agree I wouldn't work I prefer
to go down fighting also but I would add
here that there's a difference between
going down fighting as part of you know
a heroic effort that is close to winning
whoops
yeah sorry about that
um there is a difference between uh
going down uh fighting heroically and
going down uh fighting very pathetically
uh like almost
um uh not contributing
uh finally the question how long time do
we do we have what does three things uh
and he thinks basically it's very
uncertain and it's also uncertain if
there will be an existential catastrophe
so at this point I should bring up my
own probability distribution I think 25
on an existential risk in 2025 50 in
2029 75 and 35 and 90 on 2015. but
that's conditioning on not slowing down
due to things like uh catastrophe and
coordination Etc and these estimates are
weekly Health subject to significant
changes and did in fact change when gbt3
gbt4 was announced a couple of days ago
question should you invest in AI
companies
well you shouldn't invest them in them
if they are funding constrained because
then you're making the the problem worse
um uh whether that is actually true
there was some comments on this saying
that actually for for large companies
this matters not very very little but
precisely zero
um and I thought that's an interesting
argument
um what you should do instead is to
invest in AI safety and to a large
extent because it's really hard to find
investment opportunities for AI that
doesn't push on capabilities I think the
thing you should invite and invest in is
your own set of skills
um
if you have to invest in an AI company I
think a distinction should be made
between an AI user and an AI developer
and I think AI users are often
reasonably okay depending uh and AI
developers are always strongly bad
should you learn some new skills well
in general you should be flexible and
ready to change and also learn to code
and also learn to use AI
I agree and I think this is one of my
personal weak spots I am good at coding
I'm not good at using Ai and I also be
be better
so depending on your job there is a
probability that will disappear like if
you're doing like artists or writing
novels or something like that you should
be really worried but in other cases
it's harder to know but you should
really try to model it
um
and for me like I'm a software developer
and like
um I think the AI developer disappears
at the singularity and the AI uses
probably slightly before in general
programmers it's likely before that is
kind of my expectation but note that uh
like a bad programmer right now is in
fact uh like I think it's going to be
really really tough to be a bad
programmer in a couple of years due to
Copilot
so how do you plan a long-term career
well people generally do that really
poorly you can perhaps obtain capital
and stay healthy and this kind of thing
you can try but it's going to be really
hard one of the things you should
consider is that if the world doesn't
end it maybe because Society collapses
and that is something you might consider
planning for
um
so in general I did what I did was
computer science and saving up money as
a long time career plan I think that was
very smart so just focus on the thing
that that earned you the most money
um for my children we're like I don't
have a long-term career plan and for my
children uh the youngest he will his
long-term career plan will start in 20
years and I basically don't expect that
uh that he will be able to meaningfully
contribute
and this kind of uncertainty is of
course
um uh problematic and the obvious
question is can you just wait with
taking any kind of action and so he says
no you have to act under uncertainty and
that's a general thing you always have
to act under uncertainty you're never
going to get a situation where you can
make meaningful changes uh without
acting on their own certain surge
so some of the key considerations uh
that three percents is you need to get a
good model to really figure out what is
the probability that you are right that
P Doom is really hard this is going to
have high and this is going to happen
soon
you need to figure out given that the
world ends what is the utility of your
actions and also if you are wrong that
the world ends what will be the
consequences of your uh of your access
in in that case
you need you probably should distinguish
between what is the consequences for you
personally and what are the consequences
for the rest of society
if the world ends
so some of the actions you can take
ranked from worst to best the worst you
can do is to work on capability or work
on funding capabilities
and I expect that for the people who
read this they are probably generally
not in a position where they can
meaningfully contribute to Google so
it's much more likely that they should
worry about working on capabilities
working on applications and layers
um I think three is negative on this I
think it's in fact possible to do this
uh quite ethically spreading hype and
just gaining mundane utility for uh for
language models um that is probably okay
I think in particular if you try to
build hype for a gbt4 uh that is like a
drop in the bucket I don't think that
won't matter very much
um I would notice in fact that one of
the great ironies of AI safety is that
talking about AGI risk does in fact
cause hype
um that is like one of the worst thing
to realize that P there are apparently a
lot of people who read Nick Boston's
book super intelligence and thought hey
I'm gonna build a super intelligence as
fast as possible and yeah that is also a
risk
jailbreaking and tingering with the
models is something that today is very
positive about I don't think that is
obviously risk-free I think jailbreaking
and tinkering with the models is likely
to uh
uh probably be capable to work in theory
it's possible that you could do
something directly bad but I don't think
that's very likely I think in general
the thing you should do here is AI
Safety Research
and so
um three ends with the uh observation
that without AGI we should expect 100
mortality uh rate so you should remember
that you will die with Memento Mori
um and I think Memento Mori is in the
second person like you will die and I
think that is in fact less very very
unlikely at this point like you
singularly dying I think at this point
either everybody is going to die or no
one practically no one is going to die
that is at least my take on the overall
situation
that is all for today thank you and see
you next time