How the Saints live in the midst of Artificial Intelligence and The Beast System FEAR NOT

1 John 4:18

“There is no fear in love; but perfect love casteth out fear: because fear hath torment. He that feareth is not made perfect in love.”

King James Version (KJV)

Perfect love can only come from The Spirit of Christ dwelling within us:

 1 John 4:16: "And we have known and believed the love that God hath to us. God is love; and he that dwelleth in love dwelleth in God, and God in him."1 John 4:17: "Herein is our love made perfect, that we may have boldness in the day of judgment: because as he is, so are we in this world."

Preface: 

 How the Saints live in the midst of Artificial Intelligence and The Beast System We do NOT Live in Fear but by the FAITH and PATIENCE of Jesus Christ in these LAST DAYS  #AI 

We acknowledge that the Devil is the god and prince of this world and this world operates under his control. 2 Corinthians 4:4 KJB.

We acknowledge that this battle of ours is SPIRITUAL and not CARNAL

Ephesians 6

2 Corinthians 10:3-5 KJB.

We acknowledge the BATTLE belongs to Jesus 1 Samuel 17:47, Philippians 4:13 KJB and when we are totally in Him and Trusting Him as our Lord and Savior living by HIS FAITH and BY HIS PATIENCE, we receive His guidance as He is the SPIRIT OF TRUTH.  Galatians 2:16, Romans 8:9, John 4:16, 16:13 - John 16:33 Revelation 1:9 KJB.

WHATEVER WE ENDURE WE WILL OVERCOME  AMEN!

These things I have spoken unto you, that in me ye might have peace. In the world ye shall have tribulation: but be of good cheer; I have overcome the world.  John 16:33 KJB.

Let Us EXAMINE Ourselves #Gospel #KJV #Godhead

Justification is our earnest Inheritance; Sanctification is how we inherit.

Holy Spirit - Holy Ghost  and understanding the spirit and the soul

The King James Bible gets Really Real about "Things which are NOT Seen"

Why does the King James Bible use and distinguish Holy Ghost and Holy Spirit? #Doctrine Matters

Background for this study:

Your Computer is Spying On You... Here's How You Can Stop It.

Hosted by Glenn Meder Eric Meder Wessel Sean

Enter you name and email to watch the webinar:

https://event.webinarjam.com/replay/163/qq3xoc4qhr0bm6wslk64

*Disclaimer: The First half hour is most of the realistic and terrifying background on the workings of AI around us and how AI is literally learning every DETAIL about you down to your finger print exactness. And how dark forces will use this to enslave and control us like the MATRIX. Etc.  The rest of this WEBINAR is a hard sell on their equipment to PROTECT YOU. 

Trump shares AI video of his vision for Gaza — featuring giant gold statue and him lounging poolside with Netanyahu

Trump shares AI video of his vision for Gaza

Golden Statue very similar in size to the Statue IDOL of Nebuchadnezzar in Daniel Chapter 2.

Note this statue in AI generated video should be a wake up call.  

Trump AI Czar Says DO NOT FEAR AI, Says Advance Tech Will Help Mankind

https://youtu.be/47LQrQcIkBw?si=LLo1s9-SDVUpXXE

Read full transcript below.  Key on SELF LEARNING AI and Singularity - Recursive self-Improvement.  Where Machines are beyond our control.

Responding to GAB Andrew Torba's praise of AI #DeepSeek

Another Important Testimony of Brother Cameron Moshfegh

Chapt GPT Loves the Trinity - Calls Out the Biblical Godhead as Heresy

AI to replace scriptures create unified “religions" that are actually correct #EndTimes

Using ChatGPT to study God's word; Artificial Intelligence and the Spiritual World

The Hallow app is a popular Christian and Catholic prayer and meditation app. It offers a wide range of features to help users deepen their spiritual lives, including guided prayer sessions, meditation, Bible readings, and sleep aids. The app aims to help users build a habit of daily prayer and find peace through their faith.

Exposing The Chosen and Tucker Carlon's ECUMENISM #EndTimes #Apostasy

https://youtu.be/qJi4s-SRh74

See Blog study and video where I expose the idolatry of the Rosary and the Seductive spirit of the antichrist - Queen of Heaven - Idolatry and how Pagan it is:

All Roads Leading Back To ROME; Ecumenism led by the Youth #apostasy #entimes #Laodicea

The Familiar spirit - NOT Samuel's spirit talks to Saul

BRACE YOURSELF - A.I. Just REVEALED How It Can Help The Antichrist!!!

https://youtu.be/hmc5yTCUeuU?si=MjoZW4FOS-Yw_yEr

Disclaimer: This Pastor is Calvary Chapel 

 See my extensive studies on their apostasy ..

 Interesting he points out the deception of AI however he mangles scriptures from perverte3d translations and the description of eschatological events, example the mark of the beast. See my End time studies: 

REBUKE , REPROVE JD FARAG April 15, 2018

So as the WORLD PANICS What do we the Saints do and how do we live?

             2 Timothy 1:7 

“For God hath not given us the spirit of fear; but of power, and of love, and of a sound mind.”

King James Version (KJV)

1 John 4:18

“There is no fear in love; but perfect love casteth out fear: because fear hath torment. He that feareth is not made perfect in love.”

King James Version (KJV)

 How?

In the same manner we were SAVED by the GOSPEL* we through discipleship GROW and LEARN how to walk out our FAITH = the sanctification process of growing in our WALK by walking out our faith in fear and trembling Philippians 2:12 KJB - we LIVE by the FAITH and by the PATIENCE OF Jesus Christ and NOT in our own ability.

 * Most do NOT Know the Gospel. BELIEVE ALONE - IT IS BY GRACE through FAITH and NOT of WORKS.

This all happens by the MIRACULOUS calling of the Holy Spirit convicting us of godly sorrow unto repentance - 2 Corinthians 7:1KJB - in which we truly believed in our heart* Jesus Christ saved us by his death on the cross and his burial and resurrections on the 3rd Day. The Gospel 1 Corinthians 15:1-4, Ephesians 2:8,9 KJB.

*  BELIEVE

Let Us EXAMINE Ourselves #Gospel #KJV #Godhead

Justification is our earnest Inheritance; Sanctification is how we inherit.

2 Timothy 2:5 

“And if a man also strive for masteries, yet is he not crowned, except he strive lawfully.”

King James Version (KJV)

1 Corinthians 9:26 

“I therefore so run, not as uncertainly; so fight I, not as one that beateth the air:”

King James Version (KJV)

1 Corinthians 9:27

“But I keep under my body, and bring it into subjection: lest that by any means, when I have preached to others, I myself should be a castaway.”

King James Version (KJV)

The Overcomer's Crown is the Incorruptible Crown We strive for after we are saved

The REWARD of The Inheritance in Striving Lawfully

Revelation 1:9 and the Matthew 13 Kingdom Parables

Let's talk seriously about Revelation 3:7-12 KJB

Stand Down Marine

Stand Down Marine! The Davidic Covenant and what 2 Timothy 2:4 KJB Looks Like in This Realm

When is it Time to Put the Mantle Down and Go into Quiet Devotion?

Brother James and I will share stories of how we've grown to learn to be WISE as SERPENTS and GENTLE AS DOVES and in Striving Lawfully in this world.  See Video for this BLOG

BOTTOM LINE We do as Paul and the Apostles as well as Jesus Christ as our example.  We have a firm grasp of DOCTRINE and use the WORD of GOD to battle this SPIRITUAL BATTLE

Notes:

Transcript of Tim Poole's interview with White House AI expert:

0:01

White House AI in crypto white house but

0:03

uh do you have like a a professor or

0:05

anything like that that no Okay cool so

0:07

David saxs the AIS are for the White

0:10

House best best beste oh yeah that's

0:12

right beste all in pot as well yeah

0:14

absolutely we we were actually just

0:16

lightly talking before I said down uh I

0:18

said I want to talk about AI you asked

0:20

me I said let's just hit record okay so

0:22

my view is and tell me if I'm wrong MH

0:24

once we cross the singularity as it's

0:27

referred to the point at which this is

0:28

when AI is more intelligent than

0:30

humanity is it is that Humanity as a

0:32

whole or is an individual human well I

0:35

mean when you start talking about the

0:36

singularity I mean it's called that

0:37

because the idea is that once the AI

0:41

gets smart enough to improve itself then

0:43

you get in a loop you know like a an

0:47

exponential growth Cur yes exactly it be

0:49

it's called recursive self-improvement

0:51

and it's very hard for us to see beyond

0:53

that point kind of like the Event

0:54

Horizon of a black ho or something like

0:55

that so so by definition when you're

0:58

talking about what the world's look like

1:00

after that point I mean no one really

1:02

knows that's kind of the the whole point

1:04

of it but I you know I think that people

1:07

are kind of Leaping there to something

1:11

that may or may not happen or may not

1:13

happen for a while try and lean a little

1:15

bit side

1:16

so so it just it may you know it's it's

1:20

not like I think the immediate thing to

1:23

to worry about with AI I I I wonder

1:26

about it um we with earlier iterations

1:28

of machine learning algorithm on social

1:30

media attempts to have the algorithms

1:33

essentially improve themselves on

1:35

YouTube it resulted in something called

1:37

Elsa gate are you familiar with that no

1:39

YouTube told their their their algorithm

1:42

their machine learning whatever um

1:44

content that gets a lot of views a lot

1:46

of likes and it's over 10 minutes right

1:48

promote that more sure they thought

1:50

they'd get Game of Thrones and this is

1:52

actually what I I talk to people Google

1:54

instead they got people dressing up like

1:57

Elsa from Frozen The Joker and

1:59

Spider-Man

2:00

chasing each other around for 40 minutes

2:02

to Benny Hill Music and then it

2:04

eventually devolved into more extreme

2:06

things like children being stuck with

2:08

syringes children eating

2:10

feces the the the program didn't

2:13

comprehend moral tradition or the

2:16

boundary of society or anything like

2:17

that so it simply said people clicked on

2:20

this one and it started sharing these

2:21

extreme images it it was called elate

2:24

usually eventually YouTube shut it down

2:26

okay do you see any kind of danger with

2:28

that or have we gotten past that point

2:30

where these uh uh large language models

2:33

in a general AI can understand human

2:35

boundaries well I I think their

2:37

conceptual understanding is it has

2:40

gotten a lot better I mean the amazing

2:41

thing about llms is that it started off

2:44

with just next word prediction but it

2:46

seems to understand Concepts too in a

2:48

remarkable way and I think that there's

2:50

still some mystery around how exactly

2:52

that happens right man um it's coming to

2:55

life yeah well I don't I don't know if I

2:57

go that far I I I think I I I don't

3:00

think it's like alive or sension or

3:02

something like that but but

3:05

somehow the uh doing machine learning

3:08

through a large language model on

3:11

language

3:12

enables some like a deeper understanding

3:15

of not just the words but also the

3:17

concepts you know that's that's what I

3:18

think is kind of remarkable interesting

3:21

um but in any event I mean I I think

3:22

that to get value out of AI today such

3:25

as in the case you're talking about

3:26

where YouTube's trying to figure out

3:28

what do we show user like what what

3:31

causes more engagement or retention or

3:33

stickiness it has to be supervised

3:36

because it may not give you an answer

3:39

that always makes sense I mean AI still

3:41

hallucinates a lot it's still a little

3:42

bit unreliable all that kind of stuff so

3:45

I still think

3:46

we're pretty far from the days where the

3:50

AI figures out on its own exactly what

3:52

it's supposed to do it still has to be

3:54

given the objective by human the human

3:57

still has to keep it on the rails you

4:00

could think of it like you know if you

4:01

think about the case of self-driving for

4:03

a second you there's still interventions

4:05

right right um but the interventions get

4:08

you know smaller and smaller or fewer

4:10

and fewer over time as the AI gets

4:13

better and better so but we're still at

4:14

a stage when you know when you think

4:16

about creativity or knowledge work or

4:19

you know generation of you know you were

4:21

talking about music before um or just

4:23

content in general there's still a need

4:26

for human intervention yeah one thing

4:29

that's we were talking about this last

4:30

night and some of the panels uh opinion

4:33

was that AI doesn't do anything new it's

4:35

just repeating back to what humans

4:37

already know my view is when uh when

4:41

consumer grade quadcopters drones start

4:44

becoming popular I thought to myself

4:46

this technology has existed for what

4:47

decades how is it only now that we're

4:49

mass-producing these things they're just

4:50

little electric motors with a simple

4:53

controller we could have had these a

4:55

long time ago now we see iterations of

4:57

these used in Warfare so my my would be

5:00

with AI taking the big picture of

5:02

everything that Humanity has plugged

5:04

into it it's going to connect those dots

5:06

substantially faster than humans have if

5:09

we had the the the llm technology we

5:12

have today 50 years ago I'd imagine we'd

5:13

be building quadcopter drone bomb

5:16

carriers in Vietnam or something like

5:17

that do you see something like that am I

5:19

am I wrong no I mean I think AI is a

5:23

dual dual use technology I mean I think

5:26

that uh meaning that it will have

5:28

military applications I mean if it

5:30

doesn't already it certainly will I mean

5:32

is is it will it connect dots is that is

5:34

this basically what it's going to do

5:35

it's going to say humans discovered X Y

5:37

and Z but have not yet put the pieces

5:39

together and be able to put them

5:40

together for us so you're talking about

5:43

like kind of an advanced form of

5:44

creativity where Well I this this this

5:47

was the question I don't know if it's

5:48

being creative so for instance the music

5:51

generation can combine country and

5:53

gangster rep yeah now we don't really do

5:56

that but by understanding these two

5:58

things it was able ble to make something

6:00

in between that I wouldn't necessarily

6:02

call Creative but an amalgamation if our

6:06

scientists understood the the

6:08

capabilities of like quadcopter drones

6:10

and carrying bombs into the battlefield

6:12

autonomous grenades essentially we would

6:14

have built it 50 years ago so I'm

6:16

wondering if this is one of the leaps

6:18

we're going to see with with the general

6:20

AI technology we have now the rapid

6:22

advancement of technology that I think

6:24

Ray doio was mentioning to Tucker

6:25

Carlson isn't that it's going to

6:27

discover new things it's going to

6:29

connect what we've already discovered in

6:31

ways we didn't realize yeah potentially

6:33

I mean but I I think that as it gets

6:36

more powerful I think all these lines

6:37

start to blur and there will be there

6:41

will be discoveries and the you know the

6:43

question is is the I doing on its own or

6:45

is it under human supervision I mean

6:47

Alpha fold is you know solves protein

6:50

folding in a way that humans couldn't do

6:52

on their own yeah it's supervised I

6:55

guess but the AI is still coming with

6:57

discoveries that would have taken humans

6:59

hundreds a year so uh so I think the AI

7:03

is capable in a way of Discovery but by

7:05

is it capable of operating by itself no

7:07

no and so I think there's a question of

7:10

does it ever evolve to the point where

7:12

it is capable of determining its own

7:15

objectives you know how much agency does

7:17

it does it really have um that's the

7:19

scary thing yeah that yes that's that's

7:21

the question and then you get into

7:22

questions of control or alignment things

7:26

like that do you see some kind of

7:27

Terminator scenario as a possibility

7:30

I it's not I don't think it's the

7:31

short-term risk I mean the maybe the

7:34

longterm risk I mean I think the short

7:36

the short-term risk or medium-term risk

7:38

is more you know powerful AI being used

7:41

by Bad actors to do bad things and you

7:43

know or you know this the US loses the

7:47

AI race to you know another country and

7:50

that could shift the balance of power in

7:51

a way that we don't like so to me that

7:54

would be more of like a a near-term risk

7:56

when you start talking about things like

7:58

the singularity or um or control like

8:02

the AI basically becomes you know alive

8:05

or sension or whatever the things you

8:06

want to talk about uh I just you know

8:09

I'm not saying that can happen but it

8:11

feels like much further down the road we

8:14

wouldn't yeah I did you see the ray doio

8:17

conversation with Tucker Carl I did

8:18

actually I thought it was good that that

8:19

time warp in the next he says the next

8:21

five years it it's it's and and Elon

8:24

Musk said we're very close to the

8:25

singularity I looking at the uh a couple

8:29

years ago

8:30

I was making photographs of Nancy Pelosi

8:32

and it was a Gres po Picasso painting

8:34

and then a year later it was perfect a

8:38

perfect but still obvious artistic

8:40

rendition now at the point where you can

8:42

make photos and videos that are

8:43

indistinguishable from real life right

8:46

it feels like the the development is

8:47

getting is it's exponential once as you

8:51

mentioned I for it's called the the

8:52

recursive growth uh recursive

8:54

self-improvement recursive

8:55

self-improvement yeah we don't I I yeah

8:58

I agree the isue we don't know how it's

9:00

going to change and what has become and

9:01

how it's going to guide itself I can

9:03

tell you a story about how this could

9:05

happen so I mean here's the thing is I I

9:08

generally think people are a little too

9:09

obsessed with the safety risk so uh I

9:13

know it's it kind of goes against a gra

9:15

of what we're saying but um the vice

9:17

president just gave a speech in Paris at

9:18

the AI Summit where it began with I'm

9:20

here to talk about AI opportunity not AI

9:22

safety because literally the only

9:24

conversation among Regulators has been

9:27

about you know quote unquote AI safety

9:29

and just about the only conversation the

9:31

media has been about all of the risk and

9:34

I think that there are a lot of

9:36

opportunities and we don't spend enough

9:37

time talking about that but I I'm happy

9:39

to kind of talk about some of the risks

9:42

if you want but well let's talk about

9:43

the opportunities yeah I mean well I

9:45

just think that it's going to be an

9:46

incredible tool for productivity you

9:48

know for knowledge workers and the US is

9:51

35 trillion in debt we have to pay off

9:54

that debt you're not going to be able to

9:55

do that unless you have an economic boom

9:57

you need you know you need productivity

9:59

to drive that boom and that's what AI

10:03

has potential to do it's a little bit

10:04

like the internet in the late '90s where

10:06

it led to this huge productivity boom

10:08

it's going to make all of us more

10:09

productive um it's going to kind of give

10:12

all of us you know superpowers we didn't

10:14

have before whether you're an artist or

10:16

um you know some sort of knowledge

10:18

worker it's going to allow you to you

10:21

know operate at a much higher level I

10:23

mean we all see it today even with the

10:24

way the tools are today I mean it's such

10:27

an incredible Time Savings when there's

10:30

some topic you want to know an answer to

10:31

and you just type it in you get I do it

10:33

every day yeah you get the background

10:35

cheing and then look at the sources real

10:37

quick right but you know ai's been

10:39

available commercially now um for about

10:41

two and a half years and no one's lost

10:43

their jobs because of it I'm not saying

10:45

that can happen in the future I won't

10:47

not saying there's not some future

10:49

disruption that's going to happen but I

10:50

again I think people are dwelling on

10:52

scenarios that don't exist yet and they

10:55

could materialize but I'd say that so

10:58

far this tool has been something that's

11:00

been very useful to us we we do Focus I

11:02

mean even us on our show on the risks

11:04

the safety the fears the negativity but

11:06

one uh opportunity that uh we we

11:09

interviewed somebody personalized

11:11

Medical Care mhm we they were explaining

11:14

that if AI is developed to the point we

11:17

hope it will be you could take someone's

11:19

blood sample right run it into a

11:21

computer and it'll look at what what the

11:23

levels of you know the salt levels

11:24

potassium iron whatever and immediately

11:27

able to diagnose any kind of genetic

11:28

disorder or an infection and then

11:32

customize a medication specifically for

11:34

that person yeah I don't know about that

11:36

last part yet but I think that you know

11:39

copying and pasting a a you know blood

11:41

panel into the right AI you would

11:43

definitely be able to get explanations

11:45

of what's Happening um find finding

11:47

cancers before a human could tot yeah I

11:49

mean there's going to be huge advances

11:51

in in medicine as a result of this you

11:54

just need large data sets and you know

11:57

you're going to be able to find answers

11:58

I mean just imagine imagine a scenario

12:00

where you know you're in a doctor's

12:02

office you're talking to the doctor um

12:05

and that that conversation just gets

12:07

recorded as data for it could be your

12:10

personal AI that runs on your phone and

12:12

now you can ask it questions later about

12:14

wait what did the doctor say to me and

12:16

what what like what do he mean by that

12:18

and and you could take that visit and

12:20

all previous visits along with you know

12:23

your blood results and so forth and you

12:25

could ask the AI for its own

12:27

diagnosis um and so yeah there's like a

12:31

million things that are going to beable

12:33

I Envision a future where after the

12:35

singularity when it's improving itself

12:37

faster than we can

12:40

theoretically or I should just say I'll

12:42

keep it light there's a probability that

12:45

it's going to be able from the to from

12:47

the sound of your voice be able to

12:49

predict a a a health ailment or

12:51

something that's going to affect you

12:52

from a an MRI scin it's going to be able

12:54

to tell you that in seven years based on

12:56

your current diet blood levels and what

12:58

they see in your body going to develop

12:59

cancer in this

13:00

area and theoretically if we get to the

13:03

point of the purest full data sets are

13:06

being ingested into this machine it's

13:08

going to be able to predict with great

13:11

probability things that will happen in

13:12

the future with the obvious cavity being

13:14

obviously like it's not going to be able

13:15

to say 5 years from now a plane is going

13:17

to crash in this place at this time it's

13:18

going to say something like the chance

13:20

of rain in a month from now is going to

13:23

be like the forecasting obviously the

13:25

further you go in the future the more

13:26

variables will obscure things but the

13:29

predictive capabilities will seem like

13:31

an oracle to us so my concern

13:34

is final question I guess do you see a

13:37

possible future where humans disconnect

13:40

from the skill sets needed to run these

13:41

things like if the AI starts to run

13:45

itself in such a way that it just tells

13:47

the human hey look put some iron over

13:49

here and our robots will figure it out

13:52

there's a there's an episode of Star the

13:53

Next Generation where there's a planet

13:55

of people who have an oracle that tells

13:57

them what to do and how to do it they

13:58

don't know how it works right is that

14:00

possible for us um I mean whenever

14:04

you're talking about these like science

14:05

fiction scenarios you're kind of getting

14:07

into a future that's hard to foresee

14:10

yeah yeah it's a lot easier to talk

14:11

about what's going to happen in the next

14:12

year or two than what's going to happen

14:13

in 10 20 or 50 years right um I you know

14:17

I tend to think that this is a

14:19

technology that we can harness that'll

14:21

be helpful to us it'll stay under our

14:23

control I'm not I don't want to be

14:24

Cavalier about theis optimistic I don't

14:27

want to be Cavalier about the risk that

14:28

we could lose control um I mean what the

14:31

thing that's happening right now is that

14:33

um in the AI Labs they're making

14:35

tremendous progress on reasoning models

14:38

um through the use of re reinforcement

14:40

learning techniques and so you saw with

14:42

like deep seek with the R1 or um open AI

14:45

launched 01 and um 03 uh those are

14:49

reasoning models and so what they can do

14:51

is you can give it a complicated problem

14:53

and the old you know the old sort of

14:55

llms would just spit out like an answer

14:57

and sometimes it would just be it it

14:59

wouldn't be very good it would kind of

15:00

hallucinate couldn't answer a

15:01

complicated problem but you take a a

15:04

reasoning model and it can break a

15:05

complicated problem into a series of

15:08

smaller more discret um simpler problems

15:12

and then solve them sequentially and it

15:14

can show its reasoning process right so

15:16

that's that's what's happening right now

15:17

and so that's a very

15:20

promising uh new breakthrough basically

15:22

or these new this new category of

15:24

reasoning models and where that's going

15:26

to go is Agents right because you'll be

15:28

able to give an objective sort of a more

15:30

complicated objective to an agent that's

15:34

basically powered by a reasoning model

15:35

and it'll break it into a series of

15:37

tasks and it'll be able to go off and

15:38

accomplish those task for you and then

15:40

some of the other things are are I think

15:42

on the very very near Horizon is uh tool

15:45

use so AI will be trained on how to use

15:47

it already knows how to use the web

15:49

right it can search for you it'll very

15:51

soon be trained on how to use pretty

15:53

much any website so any SAS product

15:56

right fintech man it's yeah so if you

15:59

think about like all the different tools

16:01

that are available on the web kind of

16:02

any tool that a knowledge worker knows

16:05

how to use you could train an AI on how

16:07

to use it just by recording enough

16:09

knowledge workers doing their day job

16:11

right so so you go from reasoning models

16:14

to um to um to agents to sort of Agents

16:18

combined with tool use and then you can

16:20

start to construct kind of like

16:23

virtual employees kind of I mean I don't

16:26

think they're going to be oh man I don't

16:28

think they're like a full employee

16:29

replacement but you can you can start to

16:32

train them on more complicated scenarios

16:34

to address um

16:36

true and I should say I should say that

16:39

um two of the areas where reinforcements

16:41

really working very well is programming

16:43

and math because you can validate the

16:45

results very quickly and make sure that

16:46

they're accurate so uh these these new

16:49

AI models are getting really good at

16:51

coding yeah I've seen people make video

16:53

games yeah exactly so that's crazy it's

16:56

going to allow um you know it's going to

16:58

allow average Cod to get a lot more or

17:00

just you don't even have to be training

17:02

coding you just have to pick it up a

17:04

minimum level of skills and you'll be

17:05

able to use AI models to basically

17:07

program anything it it sounds like give

17:10

it a year or two or just whatever in the

17:13

development one of my predictions or I

17:15

should say like one of the things I see

17:16

is opening up Netflix Ai and saying give

17:19

me a movie about Spider-Man marrying

17:21

She-Hulk yeah and it'll just make it for

17:23

you that's that's the scenario that uh

17:25

jcal and Allin pot is really excited

17:27

about he talks about is I want

17:29

Spider-Man to marry Shield yeah he's

17:31

he's like I want to create my own

17:32

episodes of Star Wars or whatever um and

17:35

I I think it's kind of funny that um you

17:37

he'll go from talking about this

17:38

Singularity saying this is really

17:40

dangerous to say yeah but I wanted to

17:42

see that episode of Star Wars I never

17:43

got so making video games like uh we've

17:46

seen people program snake and asteroids

17:49

using Gro but how long until they can

17:52

make AAA level games where you can say

17:55

look I want to be a Mystic Knight

17:56

fighting a dragon make the game for me

17:58

and then it just renders it it's getting

18:00

like I said programming and then math

18:02

are the two areas where ai's

18:04

capabilities are getting really good

18:06

really fast last last quick

18:08

question uh do you think AI will be able

18:12

to solve math problems or uh like make

18:14

discoveries in mathematics humans have

18:16

not yet made yeah I think so potentially

18:19

I mean I don't want to say for sure but

18:21

the um the thing about math is that it

18:24

operates based on proofs and so you can

18:26

go back and check and see if a proof is

18:28

correct

18:29

and so that's a very fertile area for um

18:32

AI because it can do you know what's

18:34

called self-play where it you know like

18:37

how um in chess like um you know Deep

18:39

Mind created alphago and um was it Alpha

18:43

zero where you know it basically it got

18:45

better than human at go and chess and

18:48

the way it did it is through self-play

18:50

right so first they trained it on all

18:52

the games that previously existed but

18:54

that still didn't make it that great but

18:56

then when it let the AI play it you know

18:59

play itself basically it started

19:01

generating data on millions or even

19:03

billions of games and it started

19:04

discovering deep Concepts in chess or in

19:08

go that humans hadn't even discovered

19:09

yet wow and that's where you know and so

19:12

so again that that concept of that's all

19:14

reinforcement learning right just real

19:16

quick um is it is a fact statement to

19:18

say that AI has made AO has made a

19:20

discovery that humans have not in games

19:23

like go or chess absolutely yeah I mean

19:25

that's that's a huge huge yeah there's

19:27

there's a movie that was made about deep

19:29

mind kind of I don't know if you can use

19:31

word solve but basically um creating an

19:33

AI that beat the world master and go and

19:37

there was like a specific move that the

19:39

came up with that no human had ever seen

19:41

before and everyone was like wait what

19:42

just happened so I'm a I'm a I'm a big

19:45

poker player Texas holdom and uh they

19:47

had a bunch of the top players play

19:49

against in AI yeah and they were all

19:52

defeated they were frustrated because

19:55

they didn't understand it's it felt like

19:57

the AI could read their minds mhm it

19:59

knew when they were bluffing it knew

20:00

when they had it it folded all the right

20:02

moments and I asked one of the top

20:04

players about and I said is it is it it

20:06

just read your mo mo your Mo your your

20:08

movements does it know you paus for 5

20:10

seconds here and he says no it's playing

20:12

perfect mathematics yeah it's simply

20:14

looking at the probabilities how much

20:15

money it has the cards that it has the

20:18

cards that it's seen and deciding when

20:20

to make a move and you're you're trapped

20:22

yeah so uh David this has been really

20:24

great thank you so much for sitting down

20:25

with me absolutely uh right on uh do you

20:28

have like a Twitter or actually yeah uh

20:30

so I'm at David Sachs on Twitter and um

20:33

I I used to do the Allin pot every week

20:35

and now because I'm working for the

20:37

government uh I uh I go I drop in when

20:40

there's something to talk about that's

20:42

connected to something I'm doing with AI

20:44

or crypto right on well thanks for

20:46

hanging out man it's been good good to

20:47

hang with you right on yeah okay ...