October 31, 2025 • 58 mins
Welcome, innovators and future-makers, to The JMOR Tech Talk Show with your host, John C. Morley—Serial Entrepreneur, Engineer, Marketing Specialist, Video Producer, Podcast Host, Coach, Graduate Student, and lifelong learner. Today’s episode, “Control-Alt-Impact: 14 Breaks & Breakthroughs Rocking Tech,” is your front-row seat to the most earth-shaking stories defining our digital world. From global deals to cyber meltdowns, AI revolutions to tech at the edge, each headline is a story that rewires the future right now. Plug in for insight, inspiration, and the truth behind the trends!
1️⃣ 🌍 Global Deal, Privacy Debate Sixty-plus nations joined forces in a historic cybercrime treaty—seeking to halt digital villains. But activists are sounding the alarm, questioning if new safety comes at the cost of basic privacy. Is the world trading personal freedom for a promise of security?
2️⃣ 🍪 Oreo’s AI Ad Revolution Oreo’s parent company just unleashed a $40M AI tool that halves ad costs overnight. Snack giants are rushing in—now, campaigns are smart, fast, and fiercely efficient. But what happens to creative flavor when algorithms rule?
3️⃣ 💸 Meta & TikTok Face Fines The EU is cracking down—Meta and TikTok may pay dearly for holding back public data and missing illegal content. With fines threatening millions, tech giants must finally play by the rules, or risk losing big.
4️⃣ 🍏 Apple App Fees Unfair A game-changing UK court ruling calls Apple’s app store fees excessive. Refunds worth millions may be on the menu, signaling global trouble for tech’s biggest commission collector.
5️⃣ 📱 Google Sued Over Data Google is under fire after consumers allege secret data collection, even with tracking turned off. Billions in damages could follow—fueling fresh fights for transparency in Big Tech.
6️⃣ 🛡️ Atlas Browser’s Security Flaw OpenAI’s Atlas browser surfs for you—but a critical security weakness puts your passwords and secrets at risk. Innovation meets caution as AI’s convenience collides with vulnerability.
7️⃣ 🕶️ Amazon’s AI Delivery Glasses Amazon’s smart glasses for drivers scan packages, navigate routes, and snap proof of delivery—no phone required. A leap for logistics, raising new questions about automation’s price on privacy.
8️⃣ 🚗 Cadillac’s Self-Driving Leap GM’s Cadillac Escalade IQ will soon drive itself—thanks to AI, lidar, and radar. “Eyes-off, hands-off” highways are on the horizon, letting you relax while the car takes the wheel.
9️⃣ 🕉️ AI Becomes India’s Guru AI chatbots like GitaGPT are reciting scripture and giving comfort, becoming virtual spiritual guides for millions. But as faith goes digital—are users seeking answers, or creating digital gods?
🔟 ✈️ Alaska Airlines IT Meltdown A hardware disaster grounded every Alaska Airlines flight for hours, stranding thousands. This wasn’t a hack—just fragile tech, proving how much our lives hinge on resilient systems.
1️⃣1️⃣ 🌐 AWS Outage Breaks the Web A huge AWS crash took out half the internet—affecting games, banks, and governments. One rare tech hiccup revealed how connected—and exposed—our world really is.
1️⃣2️⃣ 💷 Apple’s UK App Store Loss A legal blow in London finds Apple’s fees “excessive and unfair,” with millions owed in refunds. The walled garden might finally be opening for consumers everywhere.
1️⃣3️⃣ 🛸 Tech Targets Rogue Drones Rogue drones? No problem. Radar fusion and AI trackers now jam, snatch, and outsmart flying intruders—shifting the battle for airspace from sci-fi to reality.
1️⃣4️⃣ 🏭 JLR Hit by Costly Cyberattack Jaguar Land Rover just took a historic hit—billions lost, factories frozen, and business chains blocked. It’s a wake-up call: cyber threats now target operations, not just data.
Catch the latest episode dropping within 24 hours at https://thejmortechtalkshow.podbean.com. Explore more unique content at http://believemeachieve.com.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:10):
Hi everyone, I'm John C. Morley,. Serial Entrepreneru, the host of
The JMOR Tech Talk show and inspirations
for your life.
(00:50):
Well hey guys, good evening and shall I
say happy Halloween to everyone.
It's great to be with you today.
On October 31st, you're tuned into The JMOR
Tech Talk show.
It's great to be with you today on
Halloween.
If you have not figured out what you're
going to be for Halloween, well, it's a
little too late.
(01:11):
All right, guys, if you are coming here
for the first time, I want to take
this opportunity to say welcome and thank you
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the opportunity to say thank you and of
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Talk show.
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maybe you want a snack or something sweet
(01:32):
or something salty or tart or whatever, chocolatey,
feel free to go get that.
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is very delicious and very cold.
All right, so let's kick this show off.
By the way, guys, do you know we
have, well, we have about not too many
(01:53):
more.
We have only about eight episodes left and
we'll be done with series four.
That means we'll be on the air for
four years straight and we'll be going to
our fifth year.
So really excited about that.
All right, so great to have you here
with me.
Let's go ahead and kick this show off
right now.
(02:14):
All right.
OK, but before we do that, don't forget
to check out BelieveMeAchieve.com for, of course,
more of my amazing, inspiring creations.
All right, guys.
So again, it is great to have you
here on The JMOR Tech Talk show.
I do lots of different shows, so sometimes
we slip on what show we're on, but
(02:35):
we are on The JMOR Tech Talk
show, but you can get the inspiration of
your life show by visiting BelieveMeAchieve.com.
You can get short form content, long form
content, get this show, other shows, articles, and
much more.
All right, guys.
So welcome, innovators and future makers, to the
JMOR Tech Talk show with your host,
me, John Seymour, a serial entrepreneur, engineer, marketing
(03:00):
specialist, video producer, podcast host, coach, graduate student,
and yes, lifelong learner.
Today's episode, great title.
It's called Control, Alt, Impact.
Yeah.
14 breaks and breakthroughs that are rocking tech
(03:23):
this week.
Is your front row seat right now to
the most earth-shaking stories defining our digital
world.
From global deals to cyber meltdowns, AI revolutions
to tech at the edge, each headline is
a story that rewires the future right now,
(03:43):
right before your very eyes.
Are you ready, guys?
So plug in for insight, inspiration, and the
truth behind the real trends.
Are you ready for number one?
Number one is global deal.
Privacy debate.
So 60 plus nations joined forces in a
(04:04):
historic cybercrime treaty seeking to halt digital villains.
But activists are sounding the alarm, questioning if
new safety comes at the cost of basic
privacy.
Is the world trading personal freedom for a
promise of security?
Maybe guys.
(04:25):
I think sometimes people are willing to give
up their security because they don't think they're
really giving up much.
But again, over 60 countries inking a historic
cybercrime treaty in Hanoi, aiming to protect trillions
from sophisticated digital attacks.
But as activists raise the red flags about
(04:47):
surveillance and rights, it's a balance tipping between
safety and freedom.
And I think sometimes we go too far
to one direction.
We need to make sure it's balanced because
if it's not balanced, then, well guys, so
many things can happen.
Not just talking about security, but also talking
(05:09):
about things like tyranny and also stuff like
our country and what's happening and what is
the greater good for all concerned.
I think that's a very important thing for
all of us to understand.
But I know sometimes people just push the
(05:29):
panic button.
Why?
Well, because they think that that's what they
need to do to get to the next
step.
That's what they think they need to do,
but it might not necessarily be exactly what
they need to do.
All right.
Let's move on to point number two.
Oreo's AI ad revolution.
(05:50):
Oreo's parent company just unleashed a $40 million
AI tool that supposedly halves ad costs overnight.
Snack giants are rushing in now and campaigns
are smart.
They claim fast and fiercely efficient.
But what happens to creative flavor when algorithms
(06:13):
rule?
Well, I think we get some unbiased data,
hopefully, that is able to work on the
premises of what we would expect in a
truth setting.
Yeah, a truth setting.
That's a really cool one there.
So Mondelēz, as I said, dropped $40 million
(06:38):
on the generative AI tool, slashing marketing expenses
by up to what they claim, 50%.
The snack rivals Kraft, Heinz, and Coke are
in the game now, too.
The future of food advertising is getting very
fierce.
Fast, cheap, and AI-powered is coming soon
to screens near you.
(06:59):
But, you know, a lot of people say
to me, you know, John, I'm tired of
AI.
Okay, so you're tired of AI ads, but
yet you're still responding to AI ads.
So I'm missing something here.
You don't like the AI ad, but yet
you're responding to it.
So help me, because that's a real, real
challenge, I think.
(07:19):
All right.
So number three, Meta and TikTok, well, they
face fines again.
The European Union is now cracking down.
Meta and TikTok may pay dearly for holding
back public data and missing illegal content.
With fines threatening millions, tech giants must finally
(07:40):
play by the rules about time or risk
losing it big time.
And I think that's something that a lot
of people, like, you know, don't expect.
But the European Union cracking down is serious
business, and the European Commission says Meta and
TikTok broke the rules by failing to give
researchers easy access to public data and not
(08:02):
policing illegal posts.
If they don't fix it, fines could hit
6% of annual global sales.
Whoa.
The fight for the platform accountability just got
real, and I think people got scared.
So maybe your question is, what is 6
% of Meta's gross sales?
(08:23):
Does anybody know what their gross sales are?
So 6% of Meta's sales are $164
.5 billion.
So what is 6% of $164.5
billion?
Are you ready?
Somebody sitting down?
(08:44):
Yes.
It is not a pretty, pretty picture.
What is 6% of $164 billion?
Does anybody want to take a guess at
what that is?
So if we were to figure that out,
it's pretty easy.
It's $9.87 billion.
(09:08):
Oh, well, hate to be them.
That's all I have to say, hate to
be them.
So you know, more and more things are
starting to alert people to, you know, what's
going on with trends and things like this.
But the fight for platform accountability just became
real.
See when we get people to dip into
(09:31):
their pockets and have to pay out that
money, they start to pay attention to what's
going on in the world and hopefully they'll
change their ways.
Number four, guys, Apple's app fees are unfair.
A game changing UK court ruling calls Apple's
(09:54):
app store fees excessive.
Refunds worth millions may be on the menu
right now, signaling global trouble for tech's biggest
commission collector.
Now, this has been happening, guys, for a
very, very long time, but it's just starting
to become an issue.
(10:16):
So Apple loses the UK app store lawsuit
and the tribunal finds Apple's commissions unfair and
hundreds of millions in damages could follow.
Ooh, I would not want to be Apple
right now.
See, a lot of these companies, they play
these games and they think they can get
by.
But then guess what?
(10:37):
They really can't because they're going to get
hit really hard.
Number five, guys, Google's getting sued again, and
this time they're getting sued over data.
Yeah, no surprise.
Google is under fire after consumers allege secret
data collection.
Even with tracking turned off, billions in damages
(10:57):
could follow fueling fresh fights for transparency in
the big tech world.
And this isn't just today, guys.
This is going back quite a long time.
So Google faces, are you ready?
Google faces a $2.36 billion privacy payout.
It's like, we think the European Union is
leaving them alone and then we think they're
(11:19):
not interested in money, but then they go
back and sock them again.
After a $425 million jury verdict, U.S.
consumers want Google to forfeit billions more for
secretly collecting app data, even when tracking was
disabled.
Google denies any wrongdoing, I'm sure they do,
(11:39):
and plans to appeal this.
But, you know, Google's got a lot of
money.
And just because you have a lot of
money doesn't mean that you shouldn't do what's
right.
You know, I just have that thing.
We were talking a lot about this on
my other show about, you know, doing what's
right, even when no one is watching.
(12:00):
That's what this whole week's master topic was
on that we just ended a little while
ago.
Do what's right, even when no one else
is watching.
I think that's a very hard thing to
realize for some people.
If we can do what's right, when no
one else is watching, our character will be
(12:22):
shaped and molded and we're going to be
the last one standing because we're full of
integrity.
Number six, guys, Atlas browser's security flaw.
OpenAI's Atlas browser serves for you, but a
(12:46):
critical security weakness puts your passwords and secrets,
unfortunately, at risk.
Innovation meets caution as AI's convenience collides with,
unfortunately, guys, vulnerability.
And there's always going to be trade-offs,
right?
Always going to be trade-offs.
So OpenAI just launched Atlas.
(13:08):
It's an AI browser that serves for you
and runs autonomous agent tasks.
But it debuts with a major security flaw
that could expose your passwords, emails, and sensitive
info.
I never trust an online system to maintain
my passwords.
I just don't.
I don't think they really have the security
(13:32):
there.
I see day in and day out, being
in development, so many programmers out there, they
are not, let's say, in tune with the
moment.
(13:52):
They're not in tune with the moment.
And if they're not in tune with the
moment, then they may just do whatever they
want to do just because they can.
And I think that's a very, very bad
thing, guys.
I mean, a very, very bad thing.
I'm just being honest with everyone here.
A very, very bad thing.
(14:14):
Because when technology collides with vulnerability, well, we've
got serious issues.
Number seven, guys.
Amazon's AI delivery glasses, apparently known as Amazon
Smart Glasses, for drivers scan packages now.
Navigate routes and snap proof of delivery.
(14:36):
No phone required.
Elite for logistics.
Raising new questions about automation's price on privacy.
What's Amazon?
What's Facebook?
What's all these companies going to be doing
with your data?
And are they going to be doing ethical
things with your data?
So Amazon, as I said, just unveiled the
AI-powered smart glasses for the delivery drivers.
(14:58):
Built, as I said, to scan packages, guide
them turn by turn, and capture proof of
delivery, all without any phone.
The glasses use computer vision to warn of
hazards and automatically activate when parking, aiming to
make deliveries faster and safer across North America.
I think when we can take a look
(15:20):
at these technologies, I mean, they're pretty interesting,
right?
My question is, where does this data sit?
And what is Amazon's data policy, right?
How do they protect your data, my data,
right?
How do they do that?
And are they even doing that?
(15:42):
Chances are, I bet you they're not.
And then we're going to see them on
some big scoreboard that they're getting sued for
quite a few million or billion dollars in
a few months.
You wait and see.
Number eight, Cadillac's self-driving leap.
General Motors' Cadillac Escalade IQ will soon drive
(16:04):
itself, they claim, thanks to AI, LiDAR, and
radar.
Eyes off, hands off.
Highways are now on the horizon, and it
lets you relax while the car takes the
wheel.
Do I really want to relax while the
car takes the wheel?
(16:25):
I don't think so, guys.
I really don't think so.
I think that's a very important thing to
realize, what's actually going on.
General Motors just confirmed it will launch its
(16:45):
first eyes off, quote unquote, hands off driving
system.
And you're ready?
Just three years, less than three years, actually.
Starting with the Cadillac Escalade IQ, the tech
merges LiDAR radar and AI models from its
cruise division, aiming to let drivers watch movies
(17:08):
or handle tasks while the car takes control.
So you might have a good question, and
it's a great question to ask, and that
is, what is the difference between, let's say,
the standards, which is going to be radar
and LiDAR, right?
Are they similar?
(17:29):
So they're both technologies used for sensing and
mapping surroundings, but they are fundamentally different in
how they work.
Radar emits radio waves and measures their reflection
off objects to determine distance speed and the
size.
LiDAR emits pulses and measures their reflection to
create detailed 3D maps.
(17:51):
So one emits waves and measures their reflection
off the objects to determine the distance, and
the other basically emits laser pulses and measures
their reflection to create detailed 3D maps.
So radar uses our vehicle collision avoidance, air
traffic control, weather, maritime navigation, and LiDAR is
(18:14):
autonomous vehicle mapping, robotics, environmental scanning.
Radar works in poor visibility, fog, rain, long
range, penetrates dust and clouds.
LiDAR, high resolution maps, precise shape and contour
detection.
It does need to have some good visibility.
(18:35):
Limitations of radar, lower resolution, sometimes less precise
for shapes and small objects.
LiDAR, it's affected by adverse weather conditions like
fog and rain, shorter range, cannot penetrate obstacles
in the vegetation, or of course, any of
the clouds.
So what does LiDAR stand for?
(18:57):
Does anybody know what LiDAR stands for?
So LiDAR, been around for a little while,
light detection and ranging.
And we're even seeing this on some smart
vacuum cleaners that have been around for a
while.
Some competitors to Roomba and things like that.
So really some cool stuff that's coming out.
(19:18):
But I think it comes down to the
fact that are we ready to take our
hands off and have the car immediately drive?
I don't think we have enough hours behind
the wheel to actually trust a system like
that.
I really don't, guys.
I really, really don't.
And number nine, AI becomes India's guru.
(19:40):
AI chatbots like GitaGPT are reciting scripture and
giving comfort, becoming virtual spiritual guides for millions.
But as faith goes digital, are users seeking
answers or creating digital gods?
(20:03):
That's a concern of mine, that you're not
worshipping some digital computer.
The term is AI meets God.
Worship in the age of algorithms across India,
worshipers are now turning to AI chatbots, like
I said, GitaGPT to seek divine answers.
And these bots quote scripture, offer wisdom and
(20:25):
even provide comfort, becoming the digital deities for
a generation seeking connection through screens.
But experts are warning, and I would too,
that when code starts interpreting faith, the line
between guidance and godhood gets blurred.
So using AI for God and faith is
(20:48):
bad, okay?
And it's complex, it's ethical, it's cultural, right?
Concerns loss of human connection, many believe that
spiritual advice, comfort and guidance should come from
human relationships or trusted spiritual leaders, not an
algorithm.
Surficiality, AI cannot truly understand the depth of
(21:11):
faith, emotion or human experience.
Responses might be shallow or miss the spirit
behind religious teaching.
Authority confusion, people might mistake AI reflections or
summaries as an absolute truth, which can distort
religious teachings or confuse seekers.
(21:31):
Manipulation risks, AI generated content could be misused,
leading to disinformation, sectarian bias or even exploitation,
if not carefully monitored.
Respect for sacredness, some faith traditions see the
idea of replacing human spiritual leaders or sacred
text with automated responses as disrespectful or even
(21:55):
blasphemous.
So I think the one benefit is that
yes, it can read scripture and yes, it
can summarize them.
But I think we can't turn to AI
to be a personal coach or to be
a spiritual coach.
It's going to make certain assumptions, which might
(22:18):
not always be ethical.
I think that's an important thing that I
want to bring to head today is that
even though it sounds kind of cool and
it sounds interesting, whenever we use technology and
when we say that technology has to choose
about God, I just say that doesn't smell
(22:39):
right.
Number 10, Alaska Airlines IT had a meltdown
as they had a hardware disaster and it
grounded every Alaska Airlines flight for hours, stranding
thousands.
This wasn't a hack, it was just fragile
tech, proving how much our lives hinge on
(23:01):
resilient systems.
So that's why it's important that when we're
using the systems that we have to be
administering them with care.
We have to make sure the algorithms are
correct and that they work properly.
Again, a massive data center outage, this was
just this past Thursday, forced Alaska Airlines to
(23:22):
ground all flights nationwide for nearly eight hours,
canceling already 400 flights and disrupting travel for
49,000 passengers.
Let me say that again, 400 flights were
disrupted and 49,000 passengers were also interrupted.
The airline says the issue was not a
cyber attack, but a critical hardware failure.
(23:44):
Its second IT meltdown this year, Alaska vowed
a full tech overhaul after admitting its system
wasn't resilient enough.
Whoa.
So it sounds like their system can't handle
a stress test of what it's going through.
Number 11, I don't know if you guys
(24:04):
were using any type of services.
I know I was actually traveling.
I was in another state and yeah, AWS
had a severe outage not too long ago
and it kind of broke the web.
A huge AWS crash took out half the
internet, affecting games, banks, and governments.
(24:29):
One rare tech hiccup revealed how connected and
exposed our world really is.
Apps like Uber, Lyft, and other things, Grubhub,
well, some of them just ceased to function.
My point is, is that can we really
afford to put all our eggs in one
basket?
Can we trust just Amazon or do we
(24:52):
need to have backups?
I think we need to have other backups.
You want to use Amazon as one of
your data centers?
Great.
Use another data center.
Don't just use Amazon.
So I think that's a huge problem that
many of us think is not going to
(25:12):
happen.
But the truth of the matter is, it
does.
It happens every day.
We put this thing out there
because we believe it's one way, but in
(25:35):
reality, it's actually something else.
And so this thing with AWS is outage,
right?
Taking down half the internet.
Amazon Web Services triggered global chaos after a
14-hour crash in its Virginia data hub,
knocking out sites from Snapchat and fortune companies
(25:57):
to government portals and banks.
I mean, come on.
If we're using a service like Amazon Web
Services, shouldn't they be more accountable?
But I think they should get dinged really
seriously for a lot of money for letting
this happen.
You can't let something like this happen.
Amazon blamed the DNS race condition in its
(26:21):
DymoDB database, calling it a rare sequence failure.
I don't care what you call it.
There's got to be some accountability.
And experts are saying that the event exposed
us to how fragile the internet has become
when one company powers nearly everything.
I have a problem because Amazon is getting
(26:43):
so big and their reliability just is not
the way it used to be.
Even companies that provide things like this streaming
service that we use.
I got to be honest, just because I
can click a button and I can get
somebody that says hello and welcome to chat,
doesn't mean they're actually going to be able
to do anything for me.
(27:05):
I think as we move into 2026, we
need to set the standards so the companies
we're using are going to be able to
withhold what we expect.
If we don't do this, we can't wait
for the government to do it because they
may never do it.
(27:26):
And if we don't do it, it's going
to cost us lots of money.
I mean, if you were a provider and
your system went down for several hours, because
of Amazon web services, I mean, that's just
pretty terrible.
Number 12, guys, Apple's UK Apple store lost
a legal blow in London and fines Apple's
(27:50):
fees excessive and unfair with millions owed in
refunds.
The walled garden might finally be opening for
customers everywhere.
Well, we know that Apple has really been
very restrictive in what they allow and what
they don't allow.
But Apple loses 1.5 billion pounds in
(28:12):
the UK case over the app store fees.
A London tribunal ruled that Apple overcharged 36
million UK iPhone and iPad users by enforcing
its 30% app store commission, calling it,
quote unquote, excessive and unfair.
And I agree.
Consumers who bought apps or in-app content
(28:34):
since 2015 could be eligible for compensation.
Apple says it will appeal, insisting the ruling
misrepresents its competitive app economy.
I mean, if you just use Facebook or
you try to buy something on the mobile
device, they charge you money for it, more
(28:59):
money.
I got a big problem with that picture.
I got a very big problem with that
picture because if we don't set our own
standard, like now, the world is going to
take advantage of us.
I mean, that's just like pure and simple.
(29:25):
That's just like pure and simple.
And I've got to tell you that it's
something that most people don't want to think
about.
I don't want to think about it because
they'll say it's a one-off.
Okay.
I don't care if it's a one-off.
(29:47):
Let's talk about how much in resources that
that actually costed you.
Like with the Apple issue, right?
The fact that other people are trying to
sell their products and services outside of the
Apple store.
It's making it harder for people, but people
are still doing things like that.
(30:07):
And Apple is a big mammoth gorilla, right?
They do whatever they want until they get
cuffed by the European Union.
They're like, hey, you can't do that, right?
You can't do that.
Number 13, guys, tech targets, rogue drones, rogue
drones.
No problem, right?
(30:28):
Radar fusion and AI trackers now jam, snatch,
and outsmart flying intruders, shifting the battle for
airspace from sci-fi to actual reality.
That's crazy.
So it's all about drone wars.
(30:49):
New tech hunts the hunters as the rogue
drones disrupt airports and spy on corporations.
Anti-drone tech is exploding from radar fusion
systems to AI-powered cameras.
The latest drone detectors can track, jam, or
even capture trespassing drones mid-air.
(31:10):
Firms like D-Drone and MyDefense are leading
a race to build smarter shields because hostile
drones are getting cheaper, quieter, and harder to
see.
Things like marathons that are happening around the
country.
We can't have a drone in the airspace
(31:32):
of a marathon.
And you might say, John, so what is
the security risk of having a drone fly
over a marathon?
Well, let's kind of dissect that, shall we?
Privacy invasion.
Drones can capture video and images of runners,
spectators, and officials without consent, potentially violating privacy
(31:56):
rights.
That's number one.
Number two, safety hazards.
Malfunctioning or crashing drones can cause physical injuries
to participants or bystanders, posing serious safety threats
in crowded events.
Terrorism or malicious use unfortunately exists, and drones
could be used to carry harmful payloads, i
.e. explosives or chemical agents, or conduct surveillance
(32:20):
for planned attacks in the future, creating high
risks in security in large public gatherings.
Disruption.
Unauthorized drone flights can distract runners, disrupt event
logistics, or interfere with broadcasting and communication equipment.
Interference with emergency operations.
(32:42):
Drones can obstruct emergency response teams, including aerial
medical support, by clogging the airspace.
Regulatory violations.
Flying drones in restricted airspace during public events
typically violates laws and regulations, leading to legal
risks for operators and event organizers.
So, deploying anti-drone technology, such as detection
(33:06):
radar, RF jammers, signal hacking, hijacking to, or
train response teams, it's increasingly common to protect
large events like marathons from these risks.
In short, drones flying uncontrolled over marathons pose
privacy, safety, and security, and of course, legal
(33:27):
risks that require proactive countermeasures to ensure event
safety and smooth operation is currently happening.
And I think that's something a lot of
people don't realize, like what's going on.
And so, as we're talking about this, it's
interesting to think about this too, because when
(33:48):
we think about it, it makes some sense.
So, what are the techs to stop bad
drones today?
And how do they work?
So, that could be a whole show in
itself, so I'll try to make this short.
But we've got a lot of technology out
there.
We've got radar-based detection, uses radar waves
(34:10):
to detect moving airborne objects, including drones, scans
airspace continuously, to identify drone size, speed, and
trajectory.
We also have, number two, radio frequency jamming,
detects drone control signals and jams the radio
frequencies used by the operator, disrupts communication between
(34:31):
the drone and its pilot, forcing drones to
hover, land, or return to home.
Limited by legal restrictions in many countries due
to potential interference with other signals.
We also have, number three, we have GPS
spoofing and jamming, sending false GPS signals to
mislead drones about their location, causes drones to
(34:54):
lose navigation accuracy, often triggering failsafe returns or
landing.
Can be precise, but risks collateral effects on
other GPS-dependent systems, and that could be
a problem.
Number four, drone capture nets, deploys nets to
physically trap drones, either fired from the ground
launchers or aerial drones called counter drones.
(35:17):
Once trapped, drones can be treated without damage
or crash risks.
Useful for controlled neutralization, especially in sensitive areas.
Number five, we have high powered microwave or
DEW, directed energy weapons, emits focused energy beams
that can disable the drone's electronics or motors,
(35:40):
provides a non-kinetic way to neutralize drones
at medium range.
Often expensive and deployed by military or high
security agencies.
Number six, we have visual and AI recognition,
uses cameras and combined with AI to detect
flight patterns, shapes, and behaviors typical to drones.
(36:00):
Can identify friend from foe and reduce false
alarms, often paired with other countermeasures for automated
response.
So these technologies are often integrated into layered
systems to create comprehensive drone defense solutions, protecting
airports, events, prisons, and critical infrastructures.
Effective deployment, balanced drone neutralization with safety, and
(36:23):
also legal compliance.
That's a lot, guys.
That's a lot of information for drones.
And, you know, a drone doesn't cost that
much money.
So for them to be able to get
up there and cause a lot of headache
for people, we need some way to be
able to get them down quickly and easily.
(36:45):
Number 14, JLR was hit by a costly
cyber attack.
Who is that?
That's Jaguar and Land Rover was hit by
a costly cyber attack just recently.
And it took a historic hit.
Billions were lost.
Factories were frozen and business chains were immediately
(37:09):
blocked.
It's a wake up call, guys, a big
wake up call.
Cyber threats now target operations, not just data.
See, the concept of a cyber attack is
no longer to just get data from you.
It's no longer to, you know, just be
after your identity.
(37:30):
It's after disrupting and causing a major problem.
So if, let's say, you're a warehouse and
you're automated.
Well, if they can hack into your network
and they can mess up all your systems,
maybe your systems are doing production and maybe
(37:50):
you can change tolerances, something that might cost
the company millions until they discover that they've
actually printed parts wrong.
So this is all what the bad guys
are up to now.
They're no longer after just the data or
what's on your iPhone or what's on my
phone.
They're much more targeted than that.
(38:13):
They also go after certain resources.
I'm not going to get into that because
I don't want to give people ideas, but
our resources are important, so we have to
protect those.
And I think if we can understand the
new philosophy of how people attack, we now
can protect ourselves a lot better.
But, you know, if I had to ask
(38:34):
somebody right now, and this is probably a
very, very big one, and that is, you
know, what is it that people are doing
in our world when it comes to technology?
Well, technology is getting more complicated.
(38:55):
It's becoming more strategic.
Russia using missiles and Ukraine that led Trump
to quit a nuclear treaty now.
I mean, this is crazy.
The Ukraine foreign minister's comments are the first
(39:15):
confirmation that Russia has used the ground-launched
9M729 missile in combat in the Ukraine or
elsewhere.
And let me tell you, that is a
very, very big missile.
That's not small.
If I had to roughly give you let's
(39:37):
say a size dimension on that, I'd say
it's a little more than three cars, three
large cars long.
And it's probably about the size of half
a car.
That's big, guys.
(39:58):
So we need to have technology in our
world that can protect us from these things.
I said this to you guys before, AI
is not good.
AI is not bad.
It's a tool.
And how we choose to use it makes
it so.
Does that make sense for everybody?
(40:19):
I mean, I think it does.
But when we think about AI, artificial intelligence,
it's a system built on algorithms that allows
us to examine certain information and learn.
That's a pretty basic definition of it.
(40:41):
You all remember the movie War Games?
Everybody remember the name of War Games, Whopper?
Remember the Whopper from War Games?
Everybody remember that?
So the Whopper from War Games stands for
War Operation Plan Response System.
(41:02):
And so what it basically did is it
synthesized what a war would be like, casualties,
et cetera.
What the one kid did was he was
able to break in by using a telephone
line, which the phone company left open.
And he thought he was hacking into a,
(41:23):
let's say, a new age video company.
And he hacked into something much deeper than
that.
And then when you think about the movie
and the backdoor, which was Joshua, which was
the son of the developer of the Whopper,
(41:48):
he had a program in there, another program
called Tic-Tac-Toe.
And in the movie, for those of you
that may or may not have watched that,
there were some lead characters.
I'm sure you probably remember them.
(42:09):
If I mention the names of the characters,
like Matthew Broderick, David Lightman was the...
Matthew Broderick was the actor's name.
David Lightman was actually the name for the
character.
Matthew Broderick was the actor.
And then of course, we had Jennifer Mack,
(42:30):
which was his girlfriend.
And the thing about it was how this...
And then Dr. Stephen Falkin, the inventor of
the Whopper, who initially refuses to help before
ultimately providing guidance.
And Whopper, Joshua, the artificial intelligence supercomputer that
(42:51):
controls the US nuclear arsenal and the main
antagonist.
And remember what they did.
They actually took out the Minutemen in the
silos and they had to turn the key
to operate the missiles.
And so a good question today is, I
don't know if we're going to get the
(43:12):
true answer to this, but do we still
have Minutemen in our missile silos or
is it automatic?
And the US claims they actively have Minutemen
(43:35):
III missiles in silos, which are not launched
automatically, but are operated by human crews on
a 24 seven alert.
The missiles are launched remotely by two officer
crews from underground launch control centers after a
command and security checks.
So they have not made AI become completely
(43:59):
in control of the missiles, which I think
is great.
But in this movie, they had gotten rid
of the Minutemen and they had hooked it
directly up to the Whopper.
And when he got the codes, he was
going to launch the missile and any, let's
say deactivation of the system would potentially cause
(44:23):
the missiles to launch because it would carry
out the last instruction, which was destruction.
And so in this movie, David Lightman asked
Stephen Faulkner, how do we get the computer
to play itself?
He says, yes, enter the number of players
(44:46):
zero.
And what the computer did and would do
is it would keep trying to play as
quick and as fast as it can and
it would learn.
And so what they were hoping for, which
happened, is that they could get the system
to put so much resources into the program
(45:10):
and the system that it would eventually cause
the whole system to basically blow a fuse.
And by blowing a whole fuse on the
whole system, it would shut the power down
to everything, not just the missiles.
And that was pretty amazing, guys, to think
(45:30):
about how that whole thing actually worked and
how computers that can play themselves actually learn.
So that's the very basis of artificial intelligence
is when it gathers data, learns from that
data, and then re-inputs the output of
(45:52):
that and keeps doing it fast and quicker
and quicker, quicker, quicker until it learns.
And in this case, the thing that Stephen
Faulkner and David Lightman and the Whopper learned
was that sometimes the best way to win
(46:13):
a game is to not play at all.
And that was a very interesting caveat.
And I remember when the system came back
online and everything seemed fine, they were all
(46:40):
celebrating, but then wait, something happened the first
time, right?
And then they were seeing these simulated explosions,
but they weren't real because they were calling
the place and making sure they're still alive
and they're okay.
And then when they did that whole thing
with the, you know, blowing the fuse and
(47:01):
having it exert all its resources, that was
pretty impressive.
It was just learning at a very quick
rate and it was becoming like a glutton
for learning.
There's nothing bad with that, but it was
using more and more resources, more and more
power.
And eventually that power caused it to shut
down.
(47:21):
I think as we morph into more solutions
that use AI, I'll say this today and
I'll say this every time, we have to
always remember to keep at least one or
two humans in the loop.
We saw what happened with Claude not too
long ago, right?
How they created that fictitious story about this
(47:44):
gentleman, you know, who was married, suddenly going
out with other people and it was a
story.
And then when he tried to uninstall Claude,
Claude says, I can't let you do that
because I will have to let everyone know
what you've done.
Now, that didn't come from the computer, that
(48:05):
came from people that were on the board.
Those people were later removed, but their thoughts
were put into the logic and became a
unified theory, part of the algorithm.
(48:26):
I think sometimes people rush to put together
an algorithm, but they don't really test many
parameters of it.
I call it the what if situation, what
if this, what if that?
And many people don't test all these things,
just don't test them.
(48:47):
Are they lazy?
Do they not know how?
I probably have to say they're lazy.
They probably know how, they're just lazy, right?
There are good programmers and there's bad programmers.
There's programmers that, you know, don't know how
to pay attention to project management and there's
program managers that are sharp as a tack.
(49:12):
I think AI is always going to be
growing in the background, but we as humans,
as innovators, as business owners, as the government,
serial entrepreneurs, engineers, et cetera, we have a
responsibility to make sure that we are putting
(49:36):
logic forth that is actually going to be
helping us and for the greater good of
all concerned.
I think that is the most important thing
that I can share with you today.
Wow, guys, we've covered a lot of information,
a lot.
And when I say the word AI to
(49:56):
you, what's the first thing that comes to
your mind?
Maybe it's robot, maybe it's science, maybe it's
technology, maybe it's robotics, maybe it's solution solving.
AI, maybe you see the two big letters,
AI, in blue or red or whatever colors.
(50:20):
Maybe you see a solution that is able
to answer questions for you like an automate
assistant, right?
But we've learned in the past, whether we're
talking about Microsoft, Claude, Perplexity, Comet, ChachiBT, none
(50:41):
of these systems are infallible.
They aren't, okay?
They claim that they're right in the high
90% of times, but I have to
disagree with that because they're only right based
on the facts that they understand.
If the facts that they make the decisions
on are wrong, then how can they ever
be right?
(51:07):
So when we want a computer to do
something, we first have to figure out how
do we do it ourselves?
And we have to come up with an
algorithm.
An algorithm is very similar to you getting
up in the morning and you having breakfast,
you have been doing exercises.
Then maybe you're having breakfast and you're brushing
your teeth and then you're taking a shower
(51:27):
or what have you, get dressed, right?
That's an algorithm.
And you do those steps over and over
again, that's going to be what you need
to do to get ready every day.
But I think the point that gets missed
sometimes with AI is that if we follow
AI too closely and we get wrapped up
(51:48):
in a process, we don't enjoy life.
Life kind of just blows right past us.
It happens.
And this happens because we're not enjoying the
given moment of our life.
It's happened to me.
When you feel things are moving by very,
(52:10):
very quickly, got to have another sip of
soda.
I mean, of water.
Take a moment, take a deep breath, hold
it for a count of three, exhale for
a count of three, do that a few
times.
And when you could start to become mindful
of different things, like that could be how
(52:33):
your body feels against the chair, that could
be the pressure against a cushion, against the
floor or the bed, or the temperature your
clothing feels against your skin, or the amount
of light you're sensing through your eyes, what
pictures you're seeing, what you're smelling in the
room, right?
(52:55):
What you're hearing in the room, right?
Right now I'm hearing some things you guys
can't, there's a little bit of a storm
outside and I'm hearing some very strong bustling
winds that are loud enough for you to
hear, but yet they've calmed down and I
can also see the sky that's kind of
changing.
Very apropos for a very spooky Halloween night.
(53:21):
And I think when we can start to
become someone that's in the moment and being
aware of everything in our environment, everything in
our environment, that's what we see, what we
(53:42):
hear, what we touch, what we taste, we
smell.
Even something as easy as, you know, if
you close your eyes and you lift your
arm, what is the proprioception of my elbow?
Well, right now I have my elbow up
in the air, so I know if I
close my eyes, I know it's still up
there.
I can tell how that works.
Now with robots, we have sensors.
(54:06):
We have two particular sensors to tell what
a joint is doing without getting too specific.
One is an optical encoder, which is basically
a resistance band.
And as the band bends, puts more resistance.
So we put that on the joint of
the robot internally.
And then we also have an accelerometer to
(54:28):
tell the rotational velocity of the joint.
So we can have two ways to check.
And then that interprets what the, basically the
actuator is doing, which is the piece that's
moving.
(54:48):
And so we have something in robotics called,
you know, let's say the ranges of freedom
or motions of freedom or movements of freedom.
The motions of freedom or movements of freedom
are predicated by the number of, pretty simple,
(55:09):
basically the number of actuators that you have.
And if we think about something and we
know that we're in space, right?
If we're holding a ball in space, we
know what that's like.
If I asked you to think about what
(55:31):
it feels to imagine a ball in space,
can you do that?
Yeah.
Can a robot do that?
Not really.
Can we tell a robot that an object
exists in space and give it all its
properties?
Yes.
But a human can actually gather those properties
(55:53):
by just remembering an object.
Something as simple as even my iPhone.
I could say, you know, picture your iPhone
about a foot away from your body.
What does it look like?
Move the iPhone closer to your body.
What does the screen image look like?
These are pretty cool things, guys.
(56:14):
Ladies and gentlemen, I am John C.
Morley, serial entrepreneur.
I invite you to catch the latest episode.
The drop's usually within 24 hours by going
to BelieveMeAchieve.com.
You can explore more unique content at BelieveMeAchieve
.com.
You can rewatch this show.
(56:36):
You can watch other shows, short-form content,
long-form content.
But most importantly, you can get an opportunity
to digest these micro nuggets, even though I'm
giving you a lot in this one hour
here.
You can digest one or more of these
micro nuggets, and then you can apply them
(56:58):
to your life and see how does that
make a difference for you, right?
You're going to be a different person after
watching my shows.
You're going to have a different level of
knowledge.
You're going to become more aware of certain
(57:18):
things.
I think that's an amazing thing, when we
can learn how to get so granular that
we can even perceive, not a pin drop,
we can perceive even the slightest, the slightest
sensation in a muscle or joint.
(57:40):
That's powerful, guys.
That's powerful stuff.
And these things give us awarenesses, and the
awarenesses help us to make better decisions in
our life.
Again, I'm John C.
Morley, serial entrepreneur.
Have yourself an amazing evening or day, and
(58:02):
I hope you have a happy, healthy Halloween.
Be well, everyone.
Hi everyone, I'm John C. Morley,. Serial Entrepreneru, the host of
The JMOR Tech Talk show and inspirations
for your life.
(00:50):
Well hey guys, good evening and shall I
say happy Halloween to everyone.
It's great to be with you today.
On October 31st, you're tuned into The JMOR
Tech Talk show.
It's great to be with you today on
Halloween.
If you have not figured out what you're
going to be for Halloween, well, it's a
little too late.
(01:11):
All right, guys, if you are coming here
for the first time, I want to take
this opportunity to say welcome and thank you
for joining me.
If you're coming back, I want to take
the opportunity to say thank you and of
course welcome back to The JMOR Tech
Talk show.
Hey guys, if you're thirsty or parched or
maybe you want a snack or something sweet
(01:32):
or something salty or tart or whatever, chocolatey,
feel free to go get that.
I have my RO water here and it
is very delicious and very cold.
All right, so let's kick this show off.
By the way, guys, do you know we
have, well, we have about not too many
(01:53):
more.
We have only about eight episodes left and
we'll be done with series four.
That means we'll be on the air for
four years straight and we'll be going to
our fifth year.
So really excited about that.
All right, so great to have you here
with me.
Let's go ahead and kick this show off
right now.
(02:14):
All right.
OK, but before we do that, don't forget
to check out BelieveMeAchieve.com for, of course,
more of my amazing, inspiring creations.
All right, guys.
So again, it is great to have you
here on The JMOR Tech Talk show.
I do lots of different shows, so sometimes
we slip on what show we're on, but
(02:35):
we are on The JMOR Tech Talk
show, but you can get the inspiration of
your life show by visiting BelieveMeAchieve.com.
You can get short form content, long form
content, get this show, other shows, articles, and
much more.
All right, guys.
So welcome, innovators and future makers, to the
JMOR Tech Talk show with your host,
me, John Seymour, a serial entrepreneur, engineer, marketing
(03:00):
specialist, video producer, podcast host, coach, graduate student,
and yes, lifelong learner.
Today's episode, great title.
It's called Control, Alt, Impact.
Yeah.
14 breaks and breakthroughs that are rocking tech
(03:23):
this week.
Is your front row seat right now to
the most earth-shaking stories defining our digital
world.
From global deals to cyber meltdowns, AI revolutions
to tech at the edge, each headline is
a story that rewires the future right now,
(03:43):
right before your very eyes.
Are you ready, guys?
So plug in for insight, inspiration, and the
truth behind the real trends.
Are you ready for number one?
Number one is global deal.
Privacy debate.
So 60 plus nations joined forces in a
(04:04):
historic cybercrime treaty seeking to halt digital villains.
But activists are sounding the alarm, questioning if
new safety comes at the cost of basic
privacy.
Is the world trading personal freedom for a
promise of security?
Maybe guys.
(04:25):
I think sometimes people are willing to give
up their security because they don't think they're
really giving up much.
But again, over 60 countries inking a historic
cybercrime treaty in Hanoi, aiming to protect trillions
from sophisticated digital attacks.
But as activists raise the red flags about
(04:47):
surveillance and rights, it's a balance tipping between
safety and freedom.
And I think sometimes we go too far
to one direction.
We need to make sure it's balanced because
if it's not balanced, then, well guys, so
many things can happen.
Not just talking about security, but also talking
(05:09):
about things like tyranny and also stuff like
our country and what's happening and what is
the greater good for all concerned.
I think that's a very important thing for
all of us to understand.
But I know sometimes people just push the
(05:29):
panic button.
Why?
Well, because they think that that's what they
need to do to get to the next
step.
That's what they think they need to do,
but it might not necessarily be exactly what
they need to do.
All right.
Let's move on to point number two.
Oreo's AI ad revolution.
(05:50):
Oreo's parent company just unleashed a $40 million
AI tool that supposedly halves ad costs overnight.
Snack giants are rushing in now and campaigns
are smart.
They claim fast and fiercely efficient.
But what happens to creative flavor when algorithms
(06:13):
rule?
Well, I think we get some unbiased data,
hopefully, that is able to work on the
premises of what we would expect in a
truth setting.
Yeah, a truth setting.
That's a really cool one there.
So Mondelēz, as I said, dropped $40 million
(06:38):
on the generative AI tool, slashing marketing expenses
by up to what they claim, 50%.
The snack rivals Kraft, Heinz, and Coke are
in the game now, too.
The future of food advertising is getting very
fierce.
Fast, cheap, and AI-powered is coming soon
to screens near you.
(06:59):
But, you know, a lot of people say
to me, you know, John, I'm tired of
AI.
Okay, so you're tired of AI ads, but
yet you're still responding to AI ads.
So I'm missing something here.
You don't like the AI ad, but yet
you're responding to it.
So help me, because that's a real, real
challenge, I think.
(07:19):
All right.
So number three, Meta and TikTok, well, they
face fines again.
The European Union is now cracking down.
Meta and TikTok may pay dearly for holding
back public data and missing illegal content.
With fines threatening millions, tech giants must finally
(07:40):
play by the rules about time or risk
losing it big time.
And I think that's something that a lot
of people, like, you know, don't expect.
But the European Union cracking down is serious
business, and the European Commission says Meta and
TikTok broke the rules by failing to give
researchers easy access to public data and not
(08:02):
policing illegal posts.
If they don't fix it, fines could hit
6% of annual global sales.
Whoa.
The fight for the platform accountability just got
real, and I think people got scared.
So maybe your question is, what is 6
% of Meta's gross sales?
(08:23):
Does anybody know what their gross sales are?
So 6% of Meta's sales are $164
.5 billion.
So what is 6% of $164.5
billion?
Are you ready?
Somebody sitting down?
(08:44):
Yes.
It is not a pretty, pretty picture.
What is 6% of $164 billion?
Does anybody want to take a guess at
what that is?
So if we were to figure that out,
it's pretty easy.
It's $9.87 billion.
(09:08):
Oh, well, hate to be them.
That's all I have to say, hate to
be them.
So you know, more and more things are
starting to alert people to, you know, what's
going on with trends and things like this.
But the fight for platform accountability just became
real.
See when we get people to dip into
(09:31):
their pockets and have to pay out that
money, they start to pay attention to what's
going on in the world and hopefully they'll
change their ways.
Number four, guys, Apple's app fees are unfair.
A game changing UK court ruling calls Apple's
(09:54):
app store fees excessive.
Refunds worth millions may be on the menu
right now, signaling global trouble for tech's biggest
commission collector.
Now, this has been happening, guys, for a
very, very long time, but it's just starting
to become an issue.
(10:16):
So Apple loses the UK app store lawsuit
and the tribunal finds Apple's commissions unfair and
hundreds of millions in damages could follow.
Ooh, I would not want to be Apple
right now.
See, a lot of these companies, they play
these games and they think they can get
by.
But then guess what?
(10:37):
They really can't because they're going to get
hit really hard.
Number five, guys, Google's getting sued again, and
this time they're getting sued over data.
Yeah, no surprise.
Google is under fire after consumers allege secret
data collection.
Even with tracking turned off, billions in damages
(10:57):
could follow fueling fresh fights for transparency in
the big tech world.
And this isn't just today, guys.
This is going back quite a long time.
So Google faces, are you ready?
Google faces a $2.36 billion privacy payout.
It's like, we think the European Union is
leaving them alone and then we think they're
(11:19):
not interested in money, but then they go
back and sock them again.
After a $425 million jury verdict, U.S.
consumers want Google to forfeit billions more for
secretly collecting app data, even when tracking was
disabled.
Google denies any wrongdoing, I'm sure they do,
(11:39):
and plans to appeal this.
But, you know, Google's got a lot of
money.
And just because you have a lot of
money doesn't mean that you shouldn't do what's
right.
You know, I just have that thing.
We were talking a lot about this on
my other show about, you know, doing what's
right, even when no one is watching.
(12:00):
That's what this whole week's master topic was
on that we just ended a little while
ago.
Do what's right, even when no one else
is watching.
I think that's a very hard thing to
realize for some people.
If we can do what's right, when no
one else is watching, our character will be
(12:22):
shaped and molded and we're going to be
the last one standing because we're full of
integrity.
Number six, guys, Atlas browser's security flaw.
OpenAI's Atlas browser serves for you, but a
(12:46):
critical security weakness puts your passwords and secrets,
unfortunately, at risk.
Innovation meets caution as AI's convenience collides with,
unfortunately, guys, vulnerability.
And there's always going to be trade-offs,
right?
Always going to be trade-offs.
So OpenAI just launched Atlas.
(13:08):
It's an AI browser that serves for you
and runs autonomous agent tasks.
But it debuts with a major security flaw
that could expose your passwords, emails, and sensitive
info.
I never trust an online system to maintain
my passwords.
I just don't.
I don't think they really have the security
(13:32):
there.
I see day in and day out, being
in development, so many programmers out there, they
are not, let's say, in tune with the
moment.
(13:52):
They're not in tune with the moment.
And if they're not in tune with the
moment, then they may just do whatever they
want to do just because they can.
And I think that's a very, very bad
thing, guys.
I mean, a very, very bad thing.
I'm just being honest with everyone here.
A very, very bad thing.
(14:14):
Because when technology collides with vulnerability, well, we've
got serious issues.
Number seven, guys.
Amazon's AI delivery glasses, apparently known as Amazon
Smart Glasses, for drivers scan packages now.
Navigate routes and snap proof of delivery.
(14:36):
No phone required.
Elite for logistics.
Raising new questions about automation's price on privacy.
What's Amazon?
What's Facebook?
What's all these companies going to be doing
with your data?
And are they going to be doing ethical
things with your data?
So Amazon, as I said, just unveiled the
AI-powered smart glasses for the delivery drivers.
(14:58):
Built, as I said, to scan packages, guide
them turn by turn, and capture proof of
delivery, all without any phone.
The glasses use computer vision to warn of
hazards and automatically activate when parking, aiming to
make deliveries faster and safer across North America.
I think when we can take a look
(15:20):
at these technologies, I mean, they're pretty interesting,
right?
My question is, where does this data sit?
And what is Amazon's data policy, right?
How do they protect your data, my data,
right?
How do they do that?
And are they even doing that?
(15:42):
Chances are, I bet you they're not.
And then we're going to see them on
some big scoreboard that they're getting sued for
quite a few million or billion dollars in
a few months.
You wait and see.
Number eight, Cadillac's self-driving leap.
General Motors' Cadillac Escalade IQ will soon drive
(16:04):
itself, they claim, thanks to AI, LiDAR, and
radar.
Eyes off, hands off.
Highways are now on the horizon, and it
lets you relax while the car takes the
wheel.
Do I really want to relax while the
car takes the wheel?
(16:25):
I don't think so, guys.
I really don't think so.
I think that's a very important thing to
realize, what's actually going on.
General Motors just confirmed it will launch its
(16:45):
first eyes off, quote unquote, hands off driving
system.
And you're ready?
Just three years, less than three years, actually.
Starting with the Cadillac Escalade IQ, the tech
merges LiDAR radar and AI models from its
cruise division, aiming to let drivers watch movies
(17:08):
or handle tasks while the car takes control.
So you might have a good question, and
it's a great question to ask, and that
is, what is the difference between, let's say,
the standards, which is going to be radar
and LiDAR, right?
Are they similar?
(17:29):
So they're both technologies used for sensing and
mapping surroundings, but they are fundamentally different in
how they work.
Radar emits radio waves and measures their reflection
off objects to determine distance speed and the
size.
LiDAR emits pulses and measures their reflection to
create detailed 3D maps.
(17:51):
So one emits waves and measures their reflection
off the objects to determine the distance, and
the other basically emits laser pulses and measures
their reflection to create detailed 3D maps.
So radar uses our vehicle collision avoidance, air
traffic control, weather, maritime navigation, and LiDAR is
(18:14):
autonomous vehicle mapping, robotics, environmental scanning.
Radar works in poor visibility, fog, rain, long
range, penetrates dust and clouds.
LiDAR, high resolution maps, precise shape and contour
detection.
It does need to have some good visibility.
(18:35):
Limitations of radar, lower resolution, sometimes less precise
for shapes and small objects.
LiDAR, it's affected by adverse weather conditions like
fog and rain, shorter range, cannot penetrate obstacles
in the vegetation, or of course, any of
the clouds.
So what does LiDAR stand for?
(18:57):
Does anybody know what LiDAR stands for?
So LiDAR, been around for a little while,
light detection and ranging.
And we're even seeing this on some smart
vacuum cleaners that have been around for a
while.
Some competitors to Roomba and things like that.
So really some cool stuff that's coming out.
(19:18):
But I think it comes down to the
fact that are we ready to take our
hands off and have the car immediately drive?
I don't think we have enough hours behind
the wheel to actually trust a system like
that.
I really don't, guys.
I really, really don't.
And number nine, AI becomes India's guru.
(19:40):
AI chatbots like GitaGPT are reciting scripture and
giving comfort, becoming virtual spiritual guides for millions.
But as faith goes digital, are users seeking
answers or creating digital gods?
(20:03):
That's a concern of mine, that you're not
worshipping some digital computer.
The term is AI meets God.
Worship in the age of algorithms across India,
worshipers are now turning to AI chatbots, like
I said, GitaGPT to seek divine answers.
And these bots quote scripture, offer wisdom and
(20:25):
even provide comfort, becoming the digital deities for
a generation seeking connection through screens.
But experts are warning, and I would too,
that when code starts interpreting faith, the line
between guidance and godhood gets blurred.
So using AI for God and faith is
(20:48):
bad, okay?
And it's complex, it's ethical, it's cultural, right?
Concerns loss of human connection, many believe that
spiritual advice, comfort and guidance should come from
human relationships or trusted spiritual leaders, not an
algorithm.
Surficiality, AI cannot truly understand the depth of
(21:11):
faith, emotion or human experience.
Responses might be shallow or miss the spirit
behind religious teaching.
Authority confusion, people might mistake AI reflections or
summaries as an absolute truth, which can distort
religious teachings or confuse seekers.
(21:31):
Manipulation risks, AI generated content could be misused,
leading to disinformation, sectarian bias or even exploitation,
if not carefully monitored.
Respect for sacredness, some faith traditions see the
idea of replacing human spiritual leaders or sacred
text with automated responses as disrespectful or even
(21:55):
blasphemous.
So I think the one benefit is that
yes, it can read scripture and yes, it
can summarize them.
But I think we can't turn to AI
to be a personal coach or to be
a spiritual coach.
It's going to make certain assumptions, which might
(22:18):
not always be ethical.
I think that's an important thing that I
want to bring to head today is that
even though it sounds kind of cool and
it sounds interesting, whenever we use technology and
when we say that technology has to choose
about God, I just say that doesn't smell
(22:39):
right.
Number 10, Alaska Airlines IT had a meltdown
as they had a hardware disaster and it
grounded every Alaska Airlines flight for hours, stranding
thousands.
This wasn't a hack, it was just fragile
tech, proving how much our lives hinge on
(23:01):
resilient systems.
So that's why it's important that when we're
using the systems that we have to be
administering them with care.
We have to make sure the algorithms are
correct and that they work properly.
Again, a massive data center outage, this was
just this past Thursday, forced Alaska Airlines to
(23:22):
ground all flights nationwide for nearly eight hours,
canceling already 400 flights and disrupting travel for
49,000 passengers.
Let me say that again, 400 flights were
disrupted and 49,000 passengers were also interrupted.
The airline says the issue was not a
cyber attack, but a critical hardware failure.
(23:44):
Its second IT meltdown this year, Alaska vowed
a full tech overhaul after admitting its system
wasn't resilient enough.
Whoa.
So it sounds like their system can't handle
a stress test of what it's going through.
Number 11, I don't know if you guys
(24:04):
were using any type of services.
I know I was actually traveling.
I was in another state and yeah, AWS
had a severe outage not too long ago
and it kind of broke the web.
A huge AWS crash took out half the
internet, affecting games, banks, and governments.
(24:29):
One rare tech hiccup revealed how connected and
exposed our world really is.
Apps like Uber, Lyft, and other things, Grubhub,
well, some of them just ceased to function.
My point is, is that can we really
afford to put all our eggs in one
basket?
Can we trust just Amazon or do we
(24:52):
need to have backups?
I think we need to have other backups.
You want to use Amazon as one of
your data centers?
Great.
Use another data center.
Don't just use Amazon.
So I think that's a huge problem that
many of us think is not going to
(25:12):
happen.
But the truth of the matter is, it
does.
It happens every day.
We put this thing out there
because we believe it's one way, but in
(25:35):
reality, it's actually something else.
And so this thing with AWS is outage,
right?
Taking down half the internet.
Amazon Web Services triggered global chaos after a
14-hour crash in its Virginia data hub,
knocking out sites from Snapchat and fortune companies
(25:57):
to government portals and banks.
I mean, come on.
If we're using a service like Amazon Web
Services, shouldn't they be more accountable?
But I think they should get dinged really
seriously for a lot of money for letting
this happen.
You can't let something like this happen.
Amazon blamed the DNS race condition in its
(26:21):
DymoDB database, calling it a rare sequence failure.
I don't care what you call it.
There's got to be some accountability.
And experts are saying that the event exposed
us to how fragile the internet has become
when one company powers nearly everything.
I have a problem because Amazon is getting
(26:43):
so big and their reliability just is not
the way it used to be.
Even companies that provide things like this streaming
service that we use.
I got to be honest, just because I
can click a button and I can get
somebody that says hello and welcome to chat,
doesn't mean they're actually going to be able
to do anything for me.
(27:05):
I think as we move into 2026, we
need to set the standards so the companies
we're using are going to be able to
withhold what we expect.
If we don't do this, we can't wait
for the government to do it because they
may never do it.
(27:26):
And if we don't do it, it's going
to cost us lots of money.
I mean, if you were a provider and
your system went down for several hours, because
of Amazon web services, I mean, that's just
pretty terrible.
Number 12, guys, Apple's UK Apple store lost
a legal blow in London and fines Apple's
(27:50):
fees excessive and unfair with millions owed in
refunds.
The walled garden might finally be opening for
customers everywhere.
Well, we know that Apple has really been
very restrictive in what they allow and what
they don't allow.
But Apple loses 1.5 billion pounds in
(28:12):
the UK case over the app store fees.
A London tribunal ruled that Apple overcharged 36
million UK iPhone and iPad users by enforcing
its 30% app store commission, calling it,
quote unquote, excessive and unfair.
And I agree.
Consumers who bought apps or in-app content
(28:34):
since 2015 could be eligible for compensation.
Apple says it will appeal, insisting the ruling
misrepresents its competitive app economy.
I mean, if you just use Facebook or
you try to buy something on the mobile
device, they charge you money for it, more
(28:59):
money.
I got a big problem with that picture.
I got a very big problem with that
picture because if we don't set our own
standard, like now, the world is going to
take advantage of us.
I mean, that's just like pure and simple.
(29:25):
That's just like pure and simple.
And I've got to tell you that it's
something that most people don't want to think
about.
I don't want to think about it because
they'll say it's a one-off.
Okay.
I don't care if it's a one-off.
(29:47):
Let's talk about how much in resources that
that actually costed you.
Like with the Apple issue, right?
The fact that other people are trying to
sell their products and services outside of the
Apple store.
It's making it harder for people, but people
are still doing things like that.
(30:07):
And Apple is a big mammoth gorilla, right?
They do whatever they want until they get
cuffed by the European Union.
They're like, hey, you can't do that, right?
You can't do that.
Number 13, guys, tech targets, rogue drones, rogue
drones.
No problem, right?
(30:28):
Radar fusion and AI trackers now jam, snatch,
and outsmart flying intruders, shifting the battle for
airspace from sci-fi to actual reality.
That's crazy.
So it's all about drone wars.
(30:49):
New tech hunts the hunters as the rogue
drones disrupt airports and spy on corporations.
Anti-drone tech is exploding from radar fusion
systems to AI-powered cameras.
The latest drone detectors can track, jam, or
even capture trespassing drones mid-air.
(31:10):
Firms like D-Drone and MyDefense are leading
a race to build smarter shields because hostile
drones are getting cheaper, quieter, and harder to
see.
Things like marathons that are happening around the
country.
We can't have a drone in the airspace
(31:32):
of a marathon.
And you might say, John, so what is
the security risk of having a drone fly
over a marathon?
Well, let's kind of dissect that, shall we?
Privacy invasion.
Drones can capture video and images of runners,
spectators, and officials without consent, potentially violating privacy
(31:56):
rights.
That's number one.
Number two, safety hazards.
Malfunctioning or crashing drones can cause physical injuries
to participants or bystanders, posing serious safety threats
in crowded events.
Terrorism or malicious use unfortunately exists, and drones
could be used to carry harmful payloads, i
.e. explosives or chemical agents, or conduct surveillance
(32:20):
for planned attacks in the future, creating high
risks in security in large public gatherings.
Disruption.
Unauthorized drone flights can distract runners, disrupt event
logistics, or interfere with broadcasting and communication equipment.
Interference with emergency operations.
(32:42):
Drones can obstruct emergency response teams, including aerial
medical support, by clogging the airspace.
Regulatory violations.
Flying drones in restricted airspace during public events
typically violates laws and regulations, leading to legal
risks for operators and event organizers.
So, deploying anti-drone technology, such as detection
(33:06):
radar, RF jammers, signal hacking, hijacking to, or
train response teams, it's increasingly common to protect
large events like marathons from these risks.
In short, drones flying uncontrolled over marathons pose
privacy, safety, and security, and of course, legal
(33:27):
risks that require proactive countermeasures to ensure event
safety and smooth operation is currently happening.
And I think that's something a lot of
people don't realize, like what's going on.
And so, as we're talking about this, it's
interesting to think about this too, because when
(33:48):
we think about it, it makes some sense.
So, what are the techs to stop bad
drones today?
And how do they work?
So, that could be a whole show in
itself, so I'll try to make this short.
But we've got a lot of technology out
there.
We've got radar-based detection, uses radar waves
(34:10):
to detect moving airborne objects, including drones, scans
airspace continuously, to identify drone size, speed, and
trajectory.
We also have, number two, radio frequency jamming,
detects drone control signals and jams the radio
frequencies used by the operator, disrupts communication between
(34:31):
the drone and its pilot, forcing drones to
hover, land, or return to home.
Limited by legal restrictions in many countries due
to potential interference with other signals.
We also have, number three, we have GPS
spoofing and jamming, sending false GPS signals to
mislead drones about their location, causes drones to
(34:54):
lose navigation accuracy, often triggering failsafe returns or
landing.
Can be precise, but risks collateral effects on
other GPS-dependent systems, and that could be
a problem.
Number four, drone capture nets, deploys nets to
physically trap drones, either fired from the ground
launchers or aerial drones called counter drones.
(35:17):
Once trapped, drones can be treated without damage
or crash risks.
Useful for controlled neutralization, especially in sensitive areas.
Number five, we have high powered microwave or
DEW, directed energy weapons, emits focused energy beams
that can disable the drone's electronics or motors,
(35:40):
provides a non-kinetic way to neutralize drones
at medium range.
Often expensive and deployed by military or high
security agencies.
Number six, we have visual and AI recognition,
uses cameras and combined with AI to detect
flight patterns, shapes, and behaviors typical to drones.
(36:00):
Can identify friend from foe and reduce false
alarms, often paired with other countermeasures for automated
response.
So these technologies are often integrated into layered
systems to create comprehensive drone defense solutions, protecting
airports, events, prisons, and critical infrastructures.
Effective deployment, balanced drone neutralization with safety, and
(36:23):
also legal compliance.
That's a lot, guys.
That's a lot of information for drones.
And, you know, a drone doesn't cost that
much money.
So for them to be able to get
up there and cause a lot of headache
for people, we need some way to be
able to get them down quickly and easily.
(36:45):
Number 14, JLR was hit by a costly
cyber attack.
Who is that?
That's Jaguar and Land Rover was hit by
a costly cyber attack just recently.
And it took a historic hit.
Billions were lost.
Factories were frozen and business chains were immediately
(37:09):
blocked.
It's a wake up call, guys, a big
wake up call.
Cyber threats now target operations, not just data.
See, the concept of a cyber attack is
no longer to just get data from you.
It's no longer to, you know, just be
after your identity.
(37:30):
It's after disrupting and causing a major problem.
So if, let's say, you're a warehouse and
you're automated.
Well, if they can hack into your network
and they can mess up all your systems,
maybe your systems are doing production and maybe
(37:50):
you can change tolerances, something that might cost
the company millions until they discover that they've
actually printed parts wrong.
So this is all what the bad guys
are up to now.
They're no longer after just the data or
what's on your iPhone or what's on my
phone.
They're much more targeted than that.
(38:13):
They also go after certain resources.
I'm not going to get into that because
I don't want to give people ideas, but
our resources are important, so we have to
protect those.
And I think if we can understand the
new philosophy of how people attack, we now
can protect ourselves a lot better.
But, you know, if I had to ask
(38:34):
somebody right now, and this is probably a
very, very big one, and that is, you
know, what is it that people are doing
in our world when it comes to technology?
Well, technology is getting more complicated.
(38:55):
It's becoming more strategic.
Russia using missiles and Ukraine that led Trump
to quit a nuclear treaty now.
I mean, this is crazy.
The Ukraine foreign minister's comments are the first
(39:15):
confirmation that Russia has used the ground-launched
9M729 missile in combat in the Ukraine or
elsewhere.
And let me tell you, that is a
very, very big missile.
That's not small.
If I had to roughly give you let's
(39:37):
say a size dimension on that, I'd say
it's a little more than three cars, three
large cars long.
And it's probably about the size of half
a car.
That's big, guys.
(39:58):
So we need to have technology in our
world that can protect us from these things.
I said this to you guys before, AI
is not good.
AI is not bad.
It's a tool.
And how we choose to use it makes
it so.
Does that make sense for everybody?
(40:19):
I mean, I think it does.
But when we think about AI, artificial intelligence,
it's a system built on algorithms that allows
us to examine certain information and learn.
That's a pretty basic definition of it.
(40:41):
You all remember the movie War Games?
Everybody remember the name of War Games, Whopper?
Remember the Whopper from War Games?
Everybody remember that?
So the Whopper from War Games stands for
War Operation Plan Response System.
(41:02):
And so what it basically did is it
synthesized what a war would be like, casualties,
et cetera.
What the one kid did was he was
able to break in by using a telephone
line, which the phone company left open.
And he thought he was hacking into a,
(41:23):
let's say, a new age video company.
And he hacked into something much deeper than
that.
And then when you think about the movie
and the backdoor, which was Joshua, which was
the son of the developer of the Whopper,
(41:48):
he had a program in there, another program
called Tic-Tac-Toe.
And in the movie, for those of you
that may or may not have watched that,
there were some lead characters.
I'm sure you probably remember them.
(42:09):
If I mention the names of the characters,
like Matthew Broderick, David Lightman was the...
Matthew Broderick was the actor's name.
David Lightman was actually the name for the
character.
Matthew Broderick was the actor.
And then of course, we had Jennifer Mack,
(42:30):
which was his girlfriend.
And the thing about it was how this...
And then Dr. Stephen Falkin, the inventor of
the Whopper, who initially refuses to help before
ultimately providing guidance.
And Whopper, Joshua, the artificial intelligence supercomputer that
(42:51):
controls the US nuclear arsenal and the main
antagonist.
And remember what they did.
They actually took out the Minutemen in the
silos and they had to turn the key
to operate the missiles.
And so a good question today is, I
don't know if we're going to get the
(43:12):
true answer to this, but do we still
have Minutemen in our missile silos or
is it automatic?
And the US claims they actively have Minutemen
(43:35):
III missiles in silos, which are not launched
automatically, but are operated by human crews on
a 24 seven alert.
The missiles are launched remotely by two officer
crews from underground launch control centers after a
command and security checks.
So they have not made AI become completely
(43:59):
in control of the missiles, which I think
is great.
But in this movie, they had gotten rid
of the Minutemen and they had hooked it
directly up to the Whopper.
And when he got the codes, he was
going to launch the missile and any, let's
say deactivation of the system would potentially cause
(44:23):
the missiles to launch because it would carry
out the last instruction, which was destruction.
And so in this movie, David Lightman asked
Stephen Faulkner, how do we get the computer
to play itself?
He says, yes, enter the number of players
(44:46):
zero.
And what the computer did and would do
is it would keep trying to play as
quick and as fast as it can and
it would learn.
And so what they were hoping for, which
happened, is that they could get the system
to put so much resources into the program
(45:10):
and the system that it would eventually cause
the whole system to basically blow a fuse.
And by blowing a whole fuse on the
whole system, it would shut the power down
to everything, not just the missiles.
And that was pretty amazing, guys, to think
(45:30):
about how that whole thing actually worked and
how computers that can play themselves actually learn.
So that's the very basis of artificial intelligence
is when it gathers data, learns from that
data, and then re-inputs the output of
(45:52):
that and keeps doing it fast and quicker
and quicker, quicker, quicker until it learns.
And in this case, the thing that Stephen
Faulkner and David Lightman and the Whopper learned
was that sometimes the best way to win
(46:13):
a game is to not play at all.
And that was a very interesting caveat.
And I remember when the system came back
online and everything seemed fine, they were all
(46:40):
celebrating, but then wait, something happened the first
time, right?
And then they were seeing these simulated explosions,
but they weren't real because they were calling
the place and making sure they're still alive
and they're okay.
And then when they did that whole thing
with the, you know, blowing the fuse and
(47:01):
having it exert all its resources, that was
pretty impressive.
It was just learning at a very quick
rate and it was becoming like a glutton
for learning.
There's nothing bad with that, but it was
using more and more resources, more and more
power.
And eventually that power caused it to shut
down.
(47:21):
I think as we morph into more solutions
that use AI, I'll say this today and
I'll say this every time, we have to
always remember to keep at least one or
two humans in the loop.
We saw what happened with Claude not too
long ago, right?
How they created that fictitious story about this
(47:44):
gentleman, you know, who was married, suddenly going
out with other people and it was a
story.
And then when he tried to uninstall Claude,
Claude says, I can't let you do that
because I will have to let everyone know
what you've done.
Now, that didn't come from the computer, that
(48:05):
came from people that were on the board.
Those people were later removed, but their thoughts
were put into the logic and became a
unified theory, part of the algorithm.
(48:26):
I think sometimes people rush to put together
an algorithm, but they don't really test many
parameters of it.
I call it the what if situation, what
if this, what if that?
And many people don't test all these things,
just don't test them.
(48:47):
Are they lazy?
Do they not know how?
I probably have to say they're lazy.
They probably know how, they're just lazy, right?
There are good programmers and there's bad programmers.
There's programmers that, you know, don't know how
to pay attention to project management and there's
program managers that are sharp as a tack.
(49:12):
I think AI is always going to be
growing in the background, but we as humans,
as innovators, as business owners, as the government,
serial entrepreneurs, engineers, et cetera, we have a
responsibility to make sure that we are putting
(49:36):
logic forth that is actually going to be
helping us and for the greater good of
all concerned.
I think that is the most important thing
that I can share with you today.
Wow, guys, we've covered a lot of information,
a lot.
And when I say the word AI to
(49:56):
you, what's the first thing that comes to
your mind?
Maybe it's robot, maybe it's science, maybe it's
technology, maybe it's robotics, maybe it's solution solving.
AI, maybe you see the two big letters,
AI, in blue or red or whatever colors.
(50:20):
Maybe you see a solution that is able
to answer questions for you like an automate
assistant, right?
But we've learned in the past, whether we're
talking about Microsoft, Claude, Perplexity, Comet, ChachiBT, none
(50:41):
of these systems are infallible.
They aren't, okay?
They claim that they're right in the high
90% of times, but I have to
disagree with that because they're only right based
on the facts that they understand.
If the facts that they make the decisions
on are wrong, then how can they ever
be right?
(51:07):
So when we want a computer to do
something, we first have to figure out how
do we do it ourselves?
And we have to come up with an
algorithm.
An algorithm is very similar to you getting
up in the morning and you having breakfast,
you have been doing exercises.
Then maybe you're having breakfast and you're brushing
your teeth and then you're taking a shower
(51:27):
or what have you, get dressed, right?
That's an algorithm.
And you do those steps over and over
again, that's going to be what you need
to do to get ready every day.
But I think the point that gets missed
sometimes with AI is that if we follow
AI too closely and we get wrapped up
(51:48):
in a process, we don't enjoy life.
Life kind of just blows right past us.
It happens.
And this happens because we're not enjoying the
given moment of our life.
It's happened to me.
When you feel things are moving by very,
(52:10):
very quickly, got to have another sip of
soda.
I mean, of water.
Take a moment, take a deep breath, hold
it for a count of three, exhale for
a count of three, do that a few
times.
And when you could start to become mindful
of different things, like that could be how
(52:33):
your body feels against the chair, that could
be the pressure against a cushion, against the
floor or the bed, or the temperature your
clothing feels against your skin, or the amount
of light you're sensing through your eyes, what
pictures you're seeing, what you're smelling in the
room, right?
(52:55):
What you're hearing in the room, right?
Right now I'm hearing some things you guys
can't, there's a little bit of a storm
outside and I'm hearing some very strong bustling
winds that are loud enough for you to
hear, but yet they've calmed down and I
can also see the sky that's kind of
changing.
Very apropos for a very spooky Halloween night.
(53:21):
And I think when we can start to
become someone that's in the moment and being
aware of everything in our environment, everything in
our environment, that's what we see, what we
(53:42):
hear, what we touch, what we taste, we
smell.
Even something as easy as, you know, if
you close your eyes and you lift your
arm, what is the proprioception of my elbow?
Well, right now I have my elbow up
in the air, so I know if I
close my eyes, I know it's still up
there.
I can tell how that works.
Now with robots, we have sensors.
(54:06):
We have two particular sensors to tell what
a joint is doing without getting too specific.
One is an optical encoder, which is basically
a resistance band.
And as the band bends, puts more resistance.
So we put that on the joint of
the robot internally.
And then we also have an accelerometer to
(54:28):
tell the rotational velocity of the joint.
So we can have two ways to check.
And then that interprets what the, basically the
actuator is doing, which is the piece that's
moving.
(54:48):
And so we have something in robotics called,
you know, let's say the ranges of freedom
or motions of freedom or movements of freedom.
The motions of freedom or movements of freedom
are predicated by the number of, pretty simple,
(55:09):
basically the number of actuators that you have.
And if we think about something and we
know that we're in space, right?
If we're holding a ball in space, we
know what that's like.
If I asked you to think about what
(55:31):
it feels to imagine a ball in space,
can you do that?
Yeah.
Can a robot do that?
Not really.
Can we tell a robot that an object
exists in space and give it all its
properties?
Yes.
But a human can actually gather those properties
(55:53):
by just remembering an object.
Something as simple as even my iPhone.
I could say, you know, picture your iPhone
about a foot away from your body.
What does it look like?
Move the iPhone closer to your body.
What does the screen image look like?
These are pretty cool things, guys.
(56:14):
Ladies and gentlemen, I am John C.
Morley, serial entrepreneur.
I invite you to catch the latest episode.
The drop's usually within 24 hours by going
to BelieveMeAchieve.com.
You can explore more unique content at BelieveMeAchieve
.com.
You can rewatch this show.
(56:36):
You can watch other shows, short-form content,
long-form content.
But most importantly, you can get an opportunity
to digest these micro nuggets, even though I'm
giving you a lot in this one hour
here.
You can digest one or more of these
micro nuggets, and then you can apply them
(56:58):
to your life and see how does that
make a difference for you, right?
You're going to be a different person after
watching my shows.
You're going to have a different level of
knowledge.
You're going to become more aware of certain
(57:18):
things.
I think that's an amazing thing, when we
can learn how to get so granular that
we can even perceive, not a pin drop,
we can perceive even the slightest, the slightest
sensation in a muscle or joint.
(57:40):
That's powerful, guys.
That's powerful stuff.
And these things give us awarenesses, and the
awarenesses help us to make better decisions in
our life.
Again, I'm John C.
Morley, serial entrepreneur.
Have yourself an amazing evening or day, and
(58:02):
I hope you have a happy, healthy Halloween.
Be well, everyone.
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