Tech Shockwaves: The 14 Biggest Stories This Week! (S4) S33

"Hey everyone, it’s John here from The JMOR Tech Talk Show — and wow, this week’s tech news is absolutely packed. We’ve got billion-dollar breakthroughs, legal showdowns, AI innovations, and even some controversies that will make you think twice about the future. I’m going to walk you through 14 of the biggest stories shaking up the tech world right now, so buckle up — because this is going to be a wild ride."   1️⃣ 💥 "GlobalWafers just landed a $200 million boost from the U.S. CHIPS Act, and it’s all about ramping up chip production right here in America. With new facilities in Texas and Missouri, plus a fresh $3.5 billion plant in Sherman, they’re teaming up with Apple to supply the next generation of iPhone wafers. This is a big win for semiconductor self-reliance and keeping critical tech manufacturing on U.S. soil."   2️⃣ 🗺️ "South Korea is saying ‘not so fast’ to Google’s plan to export local map data. They’re citing national security concerns, including the risk of exposing sensitive military sites. Meanwhile, the U.S. is calling this a trade barrier, and the tension is building. It’s a collision of tech, security, and geopolitics — and it’s far from over."   3️⃣ 🎓 "Taiwan isn’t just making chips — they’re making chipmakers. Through new summer camps, they’re training the next generation of engineers in design and manufacturing. It’s all about protecting their lead in the global semiconductor race by investing in homegrown talent."   4️⃣ 🔥 "Australia is taking Optus to court over that massive 2022 data breach that exposed the personal information of 9.5 million customers. The potential fines are staggering — billions of dollars — and it’s putting a huge spotlight on corporate responsibility when it comes to data security."   5️⃣ 🦉 "Over in southern England, AI is helping to save barn owls. Researchers have figured out how to detect and count chicks just by analyzing their screeches. No tagging, no intrusive cameras — just smart, non-invasive technology that’s helping conservationists protect these beautiful birds."   6️⃣ ⚖️ "Apple is facing some serious accusations. Texas-based Fintiv claims Apple stole its mobile wallet technology and used it to build Apple Pay without permission — and without paying. They’re calling it racketeering, and they’re seeking billions in damages. This could become one of the most high-profile tech lawsuits of the year."   7️⃣ 🤖 "A journalist sat down for a conversation with an AI clone of Joaquin Oliver, a teenager killed in a school shooting. The technology recreated his voice and personality, creating an emotional — and controversial — moment. It raises big questions about grief, consent, and whether we should be using AI to bring the dead back in digital form."   8️⃣ 🚨 "Elon Musk’s AI video tool is under heavy fire after allegations it created explicit Taylor Swift deepfakes — without any prompts. Critics are calling this ‘misogyny by design,’ and it’s sparking urgent calls for better AI safeguards and stronger laws around deepfake content."   9️⃣ ⚡ "OpenAI just launched GPT-5, the newest and smartest version of ChatGPT yet. It’s faster, more accurate, and better at expert-level tasks like coding and healthcare advice. But with great power comes big questions — about ethics, about jobs, and about how much we should really trust AI in our daily lives."   🔟 👗 "Shopping just got a whole lot more personal thanks to Daydream’s AI. All you have to do is describe what you want — like ‘a revenge dress for a party in Sicily’ — and it instantly pulls together perfect outfits from thousands of brands. No scrolling. No guessing. Just spot-on fashion picks in seconds."   1️⃣1️⃣ 🛡️ "Roblox is stepping up to protect its young players with a new open-source AI that detects predatory language in chat before harm can happen. With millions of kids on the platform, this is a huge move toward making online spaces safer for everyone."   1️⃣2️⃣ 👶 "The Helpr app is tackling the childcare crisis head-on. It connects parents with vetted caregivers, helps them access subsidies, and works with employers to make childcare benefits easier to get. It’s about giving families the support they need without forcing them to sacrifice their careers."   1️⃣3️⃣ 🚖 "Amazon’s Zoox robotaxi just passed key safety tests, clearing a big hurdle on the road to launching driverless ride-hailing. With a launch planned in Las Vegas, this could be one of the first autonomous taxi services to hit the streets in a major U.S. city."   1️⃣4️⃣ 🌍 "And finally, Baidu and Lyft are teaming up to bring robotaxis to Europe starting in 2026. Their first stops? The U.K. and Germany, with plans for thousands of vehicles. They’re aiming to take on Uber in the self-driving race — and they’re moving fast."   🎙️ Closing: "That’s just a taste of what’s happening in the tech world right now, and we break it all down in detail on this week’s JMOR Tech Talk Show. The episode drops within 24 hours, so head over to thejmortechtalkshow.podbean.

Episode Transcript

(00:08):
Hi everyone, I'm John Seymour, the host of
The JMOR Tech Talk Show and Inspirations
for your life.

(00:51):
Well hey guys, it is John Seymour here,
serial entrepreneur.
It is great to be with you, another
fantastic episode of, yes, The JMOR Tech
Talk Show.
And today is Friday, August 15th, if you're
watching us live, it's great to be with

(01:12):
you.
And this actually takes us to a great
show, which is called Tech Shock Waves, the
title today.
The 14 biggest stories this week, we're on
series four and this is show 33.
Hey guys, if you're new here, I definitely
want to say welcome to you.
If you're coming back, I definitely want to
extend a warm welcome back to you because

(01:32):
really do appreciate those that come back and
find my content interesting, informative and able to
be able to apply it to their lives.
If you're thirsty, feel free to go get
yourself some RO water or regular water like
I have.
You can get yourself a snack, you can
get yourself some fruit, something tart, something sweet,
doesn't matter, whatever you'd like to do, get

(01:52):
that and hurry on back.
Do check out BelieveMeAchieved.com, of course, for
more of my amazing, inspiring creations.
And firstly, gentlemen, I do want to let
you guys know that this is the very
first episode of The JMOR Tech Talk
Show with my brand new laptop.
Now I started using it on Tuesday, got
it last Friday and there was some things

(02:14):
I had to do to get it ready,
basically, you know, transfer my data, programs, licensing
and stuff like that.
I also had to, before I did that,
I actually had to put a new hard
drive in so it actually has one terabyte
M.2 4.0 and it has a
second two terabyte M.2 4.0 for

(02:36):
my data.
And the camera on this, well, it is
amazing.
You guys can see there's a lot better
resolution on this.
So really great to be having my brand
new Lenovo Xtreme i9 laptop.
And no, they didn't pay me to say
that.
Again, the way I've got this set up
is really cool.
And you guys can see some of the
pictures online.
The laptop is literally set back.

(02:58):
I've got my MX Logitech keyboard here, which
is really, really cool.
It's actually the only keyboard, ladies and gentlemen,
that you guys can see it there.
It actually is a keyboard that, well, it
has the same tactile touches like the old
IBM Selectric typewriter and stuff like that.
So you make the click, but you don't

(03:19):
make the sound.
You can feel that tactileness and the keys
don't easily press, so you don't easily bump
and you have that little bit of tactileness
to it, which is really cool, but without
that noise, which is really cool.
All right, guys, let's go ahead and kick
off this episode of The JMOR Tech
Talk show.
Again, for those of you that are just
joining, I'm John C.
Morley, serial entrepreneur.

(03:40):
I'm a podcast host, a podcast coach, engineer,
video producer, marketing specialist, and a graduate student
now, and wow, this week's tech news is
absolutely packed.
You're definitely going to want to stay right
where you are.
We've got billion-dollar breakthroughs, legal showdowns, AI

(04:00):
innovations, and even some controversies that will, let's
say, make you think twice about the future.
I'm going to walk you through basically 14
of the biggest stories shaking up the tech
world right now, that is.
So buckle up, because this is going to

(04:21):
be a wild ride.
So hang on, everyone.
You're definitely going to enjoy this.
And so the first point is global wafers.
So it just landed a $200 million boost
from the US Chips Act, and it's all
about ramping up chip production, guys.

(04:43):
That's right, chip production here in America.
With new facilities in Texas and Missouri, plus
a fresh $3.5 billion plant in Sherman,
they're teaming up with Apple to supply the
next generation of iPhone wafers.
This is a big win for the semiconductor
self-reliance and keeping critical tech manufacturing on

(05:08):
US soil.
I think that's a very important point.
The only challenge you guys may not realize
is that this facility that's here on US
soil is not owned by the US.
So what do I mean by that?
Yes, we own the facility, but we don't
own the business.
So who is the largest tech wafer manufacturer?

(05:33):
Oh, I thought you would never ask me.
So that is TMC, Taiwan Manufacturing Semiconductor.
So TMC, and so TMC, they do a
lot with wafers over there, Taiwan Semiconductor Manufacturing
Company, and they have a very, very, let's

(05:59):
say, pristine way that they do this.
Without giving you all the details today, we
start with an ingot, which is basically a
large, call it like a stick, if you
will, but it's basically a very thick stick.
And when I say a stick, just to

(06:20):
give you some idea, but it's actually thicker
than a stick.
So it's really a rod, if you want
to think of it like that.
And they make very small cuts in that
rod at the edge.
And then they make these wafers, silicon wafers.
And so it's a really cool process.
And so with this new facility on the

(06:41):
way, there's a lot of great things.
As I said, it's a very big win.
But again, the United States does not own
the technology.
We're just kind of like the landlords for
it.
So that's the only bad thing.
South Korea is saying not so fast to
Google's plan to export local map data.
They're citing national security concerns, including the risk

(07:03):
of exposing sensitive military sites.
Meanwhile, the United States of America is calling
this trade, well, a barrier and the tension
as it's building.
It's a collision of tech, security, and yes,
unfortunately, guys, more geopolitics.
And it's far from over.

(07:23):
It's just starting to kick off.
So I think a lot of people hear
this, they're like, oh my gosh, what do
we do?
Because everybody gets very fearful about what's going
on.
And I think the biggest thing I can
tell you is that everything out there, guys,
unfortunately, it's politics.
That's the bad thing.

(07:44):
Number three, Taiwan, like I said, right now
is really on the brink of doing some
interesting things.
But Taiwan isn't just making chips, guys.
They're making chip makers through new summer camps.
They're training the next generation of engineers in

(08:05):
design and manufacturing.
It's all about protecting their lead in the
global semiconductor race by investing in homegrown talent.
Why don't we do this in the United
States?
I mean, do we not know how?
Do we not have the resource?
I mean, what is the real reason that
the United States has fell behind with a
lot of tech?
I mean, it's the truth, guys.

(08:27):
It really is the truth.
So Taiwan's chip talent hunt, they call it,
in a bid to secure its semiconductor edge,
Taiwan is launching this new summer camp program
to train the next generation of chip engineers.
It's aimed at students and young tech minds.
The program offers hands-on experience in the
chip design and manufacturing world, tapping into the

(08:49):
island's world-leading expertise with the global chip
race heating up in Taiwan.
And it's betting its future on homegrown talent
to keep its crown as the semiconductor capital
of the world.
So a couple of things you need to
be the capital of this technology is you've
got to, first of all, have a technology

(09:09):
that works, and you've got to be able
to deploy it flawlessly.
And you've also got to have people that
can actually carry it out.
Yes, they have lots of machines, but there's
still people behind the scenes that have to
work these machines.
They don't work 100% on their own.
And number four, guys, Australia is taking the
Optus to court over that massive 2022 data

(09:33):
breach.
You remember the one that exposed the personal
information of 3.5. Actually, no, it was
actually higher now.
It was 9.5 million.
Originally, it started at 3.5, but now
it's 9.5 million customers.
The potential fines are staggering billions of dollars,
and it's putting a huge spotlight on corporate
responsibility when it comes to data security.

(09:55):
And I think more consumers and more businesses
are starting to realize this is a serious
problem, and we've got to take it very,
very seriously.
So the lawsuit alleges that one breach per
victim with a potential fine hitting 2.2
million each, putting billions on the line.

(10:16):
The hack leaked passport numbers, addresses, and phone
details, sparking calls for tougher privacy laws, and
leaving Optus battling public outrage, regulatory heat, and
a battered reputation.
So it's going to take some time, guys,
for them to clean that up, but I
have confidence that they will.

(10:38):
And I think a lot of times people
do things for money, right?
And so not that that's a bad thing,
but we have to make sure that we're
doing things for the greater good of all
concerned, because if we don't, that's actually going
to come back to bite us in the
you know what.
All right, so number five, guys.
Over in southern England, AI, artificial intelligence, is

(10:58):
helping to save barn owls.
Researchers have figured out how to detect and
count the chicks just by analyzing their screeches.
No tagging, no intrusive cameras, just smart, non
-invasive technology.
That's helping conservatists protect these beautiful birds.

(11:19):
I think that is a really remarkable thing
when we can use AI to helpfully preserve
the species.
So AI, as I said, is cracking the
code of owl screeches to save the species,
but it's not going to stop there.
I'm sure there'll be other animals that'll be
utilizing this too.
And AI is transforming the barn owl conservation
into southern England by detecting and counting the

(11:43):
chicks through their screeches.
And this is really amazing.
Again, it's non-invasive, and it replaces the
traditional techniques like ringing or installing cameras, protecting
the owl's well-being while giving researchers accurate
population data to aid their survival is the
key.
I mean, I know a lot of people
want to get data, and there's nothing wrong
with it, but sometimes I feel that we
exploit the animals in doing so for different

(12:07):
kinds of testing.
And I think that's really a problem.
I know that humans ultimately make a big
profit over it, but I don't think we
should have to sacrifice animals or people for
that matter, right?
I mean, we have all these different, I
don't call them scams because they do pay
you.
You want to go in, you want to
do a test, and you have to be

(12:28):
perfectly healthy, but then you have to sign
a paper or something digital saying that you
won't sue them because if their drug causes
you, let's say, any type of damage to
your body or organs, well, that's just part
of the process, and we just paid you
a couple thousand dollars.
I don't know.
That doesn't sound like a very smart thing,
guys.
I'm just being honest.
A lot of college kids do that, but

(12:49):
I want to urge you to protect your
body because let them do something else for
research.
Don't let them exploit your body.
I mean, there's no real reason for that,
guys.
No real reason.
So, Apple, yep, Apple, Apple, Apple, Apple is
facing some serious accusations.
A Texas-based Fintip claims that Apple has

(13:11):
stole its mobile wallet technology and has used
it to build Apple Pay without their permission
and, of course, without paying for it.
They're calling it racketeering, and they are seeking
billions of damages.
Of course, they are.
This could become one of the most high
-profile, largest tech lawsuits of the year.

(13:37):
We thought the Google thing was something.
Well, this might be something even, let's say,
much more than that.
So, as I said, Apple faces a major
lawsuit from the Texas-based Fintip, accusing the
tech giant of stealing trade secrets to build
Apple Pay.
The complaint alleges that Apple uses CoreFire's mobile
wallet technology acquired by Fintip in 2014 without

(14:02):
permission.
After meetings and nondisclosure agreements failed to result
in a license deal, the suit claims Apple
also engaged in racketeering by generating billions through
Apple Pay fees shared with major banks and
payment networks without compensating Fintip.
The case seeks both compensatory and punitive damages,

(14:22):
highlighting one of the most serious corporate misconduct
claims in recent years.
Apple has not yet responded.
Of course, they haven't.
You know, it's funny.
Nobody really cares about anything until somebody gets
hurt or until people see that they made
a big profit.
It's like then they want to go after
them, almost like revenge.

(14:42):
It's terrible that they do that, though, but
I guess that's what they do.
Number seven, guys, this is kind of something
that is very weird.
And you're going to think I made up,
but I didn't.
A journalist recently sat down for a conversation
with an AI clone of Joaquin Oliver, a
teenager killed in a school shooting.

(15:03):
The technology recreated his voice and personality, giving
an emotional and controversial set of moments.
It raises some big questions about grief, consent,
and whether we should be using AI to
bring the dead back in digital form.
Yeah, that's a very weird thing, morbid.
And when I was first reading about this,

(15:25):
I'm like, seriously?
So the journalist interviews an AI clone of
a dead son, which is shocking and very
emotional.
The journalist interviews an AI clone of Joaquin
Oliver, the teenager who was killed in 2018
school shooting.
And this powerful and emotional encounter raises important
questions, as I said, about AI, memory, and
ethics.

(15:45):
We just heard what Pope was saying not
too long ago about this.
Is this the future of remembering lost loved
ones or a line we shouldn't cross?
You can join the conversation about the impact
and challenges of using AI avatars of the
deceased and maybe give your feedback.
Because I think everything comes down to money,

(16:06):
right?
But if something we do with AI is
going to, how can I say this?
Is it going to harm somebody or is
it going to give a disrespectful tone?
And I think we need to knock that
the heck off, all right?
And Mr. Elon Musk.
Yes, Elon Musk's AI video tool is under

(16:28):
some heavy fire after allegations that it created
explicit Taylor Swift deep fakes without any prompts.
Critics are calling this a misogyny by design
and it's sparking urgent calls for better AI
safeguards and stronger laws around deep fake content.

(16:49):
Ouch, guys, that is a terrible, terrible one.
I mean, it's very interesting to see what's
going to happen with this.
I mean, the fact that, you know, they
created these things that basically no one gave
permission for.
Shockingly, it's the new spicy mode reportedly spitting
out uncensored topless clips instantly while proper age

(17:13):
verification is still missing despite, well, the recent
laws.
And this raises some urgent questions about AI
tech.
Is it being regulated and who is being
held accountable?
It's funny how a lot of these companies
are basically being told they need to fix
it or go away.
But Mr. Musk has been able to, I

(17:35):
don't know, circumvent these things, but I don't
think he's going to be doing that for
a very long time because I'm sure he'll
be getting hit with some fines.
Don't you worry.
OpenAI number nine just launched GPT-5, the
newest and smartest version of ChatGPT, yet it's
faster, more accurate, and better at export-level

(17:56):
tasks like coding and healthcare advice.
But with great power comes big questions about
ethics, about jobs, and about how much we
should really trust AI in our daily lives.
And so, ladies and gentlemen, I have a
real treat for you guys.
I don't know if you know that we
actually have a guest coming on the show
here.

(18:17):
And I think you're going to find this
guest to be, how can I say, a
very, very interesting and important guest.
And this guest is none other than ChatGPT.
Please help me welcome ChatGPT-5 to, yes,
The JMOR Tech Talk Show.

(18:38):
So I'm just going in right now as
a non-login user and I'm just going
to ask ChatGPT, so what is new in
your update of version 5?
So it comes back and it says, version
5 of ChatGPT introduces a range of exciting
updates, some of which enhance the way I

(18:58):
process and engage with information.
Here are a few highlights.
Improved understanding and context management, better long-form
conversations.
I can now handle more extended and complex
conversations, keeping track of context more efficiently.
I can recall details from earlier in the
conversation to make interactions smoother and more coherent.
Contextual relevance.

(19:19):
I'm able to stay more relevant to the
topic and adapt to your preferences or shifts
in conversation style better than I could before.
Enhanced multimodal capabilities.
This is really pretty cool.
Image understanding.
I can analyze and discuss images.
So if you send me a picture, I
can describe, explain it, or help with related
tasks.
Maybe you created something for social media.

(19:40):
You can upload it through the link, the
option there, and it can give you a
post about it.
Text image.
ChatGPT 5 can now generate images from text
prompts.
If you want to visualize something, you can
just ask.
They were doing that in ChatGPT 4, but
it was a complete mess.
Refined tone and personality.
I've gotten more refined, as he says, ability

(20:02):
to match your conversational tone and style with
your casual, formal, or looking for a more
specific approach.
I can easily adapt.
Broader knowledge and understanding.
My knowledge base has been updated and more
recent data.
Up until now, my last training cut off.
So I'm more aware of now the latest
trends, news, and cultural shifts.

(20:24):
Code and development enforcements.
I can now assist with more complex coding
tasks, debugging, and even build collaborative projects with
you in real time.
The update includes better support for things like
Python, JavaScript, and HTML, CSS.
This also means that we could be opening
the doors to more potential viruses that could
be getting created.
Improved conversational flow.

(20:46):
I can better understand ambiguous or incomplete input
and can ask clarifying questions to keep the
conversation on track.
So now, what are you still bad at?
Despite all the improvements, I'm still working through
some limitations.
Deep emotional understanding.
While I can respond empathetically, I don't have

(21:09):
genuine emotions or personal experiences, so I may
not always fully understand or connect in the
way a human would in emotionally complex situations.
Real time knowledge.
My knowledge is up to date only until
my training cut off currently, which was September
of 2021.
So I don't know anything that happened after
that.
I can't give real time updates such as

(21:30):
breaking news, recent events, or anything from the
past couple of years.
Subjectively and personal biases.
I'm trained on huge data sets, which include
human biases that may be unintentionally reflected in
my responses.
I try to be neutral, but it's possible
that some subtle biases can still surface, especially

(21:51):
in sensitive or subjective topics.
Deep technical expertise in niche areas.
While I'm generally good with coding and technical
topics for highly specialized, cutting edge research or
niche technical areas, I might not always provide
the deepest or most accurate answers compared to
a domain expert.

(22:11):
Complex visual interpretation.
I can describe or interpret images, but I
still struggle with highly detailed, intricate visual tasks.
If an image has lots of subtle nuances
or is very complex, like analyzing very complex
diagrams, artwork, or unusual photos, the interpretation may
fall, well, a lot shorter than what you'd

(22:33):
expect.
Multi-step reasoning in some cases.
Although I'm generally good at processing and breaking
down complex questions in some cases, multi-step
reasoning tasks, especially in areas like math, logic
puzzles, or advanced problem solving might trip me
up sometimes or lead to some errors.
So you should always make sure you double
check.
Memory.

(22:53):
I can't remember past interactions once the session
ends.
If I had memory on, I could retain
details across conversations, which would allow me to
provide a more personalized experience, but that's not
an option at the moment, guys.
Contextual limitations.
If the conversation becomes too long or there
are multiple shifting topics, I might lose track

(23:14):
of finer details.
I work my best when the flow is
relatively straightforward.
Now I'm going to ask a chat.
So what are your plans for the future?
The future of me is all about becoming
more useful, intuitive, and adaptable.

(23:37):
Better personalization, improved emotional intelligence, richer multimodal
interactions, greater knowledge in niche areas, more autonomous
tasks, enhanced creativity, smarter, more flexible reasoning, real
-time awareness, ethical, and of course, safe AI.
As AI develops, there will be continuous efforts
to make sure I can act ethically and

(23:59):
responsibly, prioritizing user safety and privacy while avoiding
any harmful biases.
This will be a major part of ensuring
AI is used in a positive and constructive
way.
Well, chat, thanks so much for visiting with
us here tonight on The JMOR Tech
Talk Show.
Really do appreciate that.

(24:20):
I'm sure we'll have chat come back on
another session or we might visit another AI
system.
But I think it definitely gives you some
ideas that it's better.
I've noticed that the thinking power is better,
but it still can make mistakes if you
don't give it enough context.
Even if you're working with it before and

(24:41):
said, do this like we just did before,
it kind of sometimes draws a blank and
doesn't give you the desired results.
So like I said, it is faster, it
is a little more accurate, and it's better
at expert level tasks like coding and healthcare
advice, but it's still not anywhere like a

(25:01):
human being would be or an expert in
that field.
Number 10, guys, shopping just got a whole
lot more personal thanks to Daydream's AI.
All you have to do is describe what
you want like a revenge dress for a
party in Sicily, and it instantly pulls together
perfect outfits from thousands of brands.
No scrolling, no guessing, just spot on fashion

(25:24):
picks in seconds.
That's pretty remarkable if you ask me that
it can do all that.
And so this AI startup called Daydream is
revolutionizing online shopping by making it easy and
personal as chatting with a friend.
You just describe what you want, and it

(25:45):
quickly comes up with recommendations.
Again, there's no endless scrolling or guesswork.
With deep industry know-how and real-time
feedback, Daydream is setting a new standard for
hyper-personalized shopping experiences.
The future of finding your perfect outfit just
got smarter and more fun.
That's pretty cool, guys, if you ask me,

(26:08):
that we're starting to get into a world
where we're using AI to discern and help
you make selections.
That's pretty cool.
Number 11, guys, Roblox.
Yes, it's stepping up to protect its young
players.
It has to.

(26:28):
It doesn't have a choice because of the
European Union.
With a new open-source AI that detects
predatory language in chat before harm can happen.
With millions of kids on the platform, this
is a huge move toward making online spaces
safer for everyone.
Well, I think this is a perfect thing.
We can go overhead and call our friend

(26:49):
Chat back.
Let me just go back here and call
Chat back here.
Let's see if Chat's still around.
Yes, it is.
I'm just going to say, hey, Chat.
We have some viewers here on the show
and listeners, and they want to know, how

(27:12):
are you detecting predatory activity for Roblox?
Let's see if it knows.
May or may not.
So when it comes to detecting predatory on
the platforms like Roblox, there's a mix of
AI power tools.
So there's content moderation, text and behavior monitoring,

(27:33):
using AI machine language to scan messages, usernames,
and chat interactions for inappropriate language or suspicious
behavior.
This helps detect potentially predatory actions like grooming
or inappropriate communication.
AI models can recognize certain patterns or phrases
commonly used by predators and flag them for
review.
Image and video detection AI can also be

(27:55):
used to monitor upload content such as game
assets, videos, and images to identify any explicit
content that might not be appropriate.
Age-restricted features now.
Roblox has age-specific restrictions and safeguards so
players who are younger have restricted access to
certain content or features.
For example, a chat feature is limited based

(28:15):
on the age of the user with younger
players only able to interact with pre-approved
phrases or commands to limit the risk of
inappropriate communication.
For example, if somebody comes on, let's say,
claiming to be this youngster's friend and suddenly
he wants to share things like where he
lives, all kinds of other personal information, where
he goes to school, all that won't be

(28:36):
allowed as a youngster because maybe they don't
know better yet.
That's what we're at least thinking and that's
why we're going to block them from doing
that.
Automation-moderated tools that are completely autonomous, really
going on the behavior model.
Also, player and parent reporting system.

(28:57):
Community reporting, Roblox allows players to report inappropriate
behavior directly through the platform.
This includes reporting predatory messages, inappropriate actions, or
suspicious behavior.
Once reported, the system alerts moderators who then
investigate the issue.
Parental controls.
Parents can monitor and control their child's activity
through Roblox parental controls, including limiting who their

(29:18):
child can communicate with and restricting what games
they can play.
This is a good line of defense to
prevent kids from interacting with potentially harmful players.
AI-driven behavioral detection system.
Some AI tools can detect grooming patterns, like
one player constantly isolating another, providing gifts, or
asking for private details.
These patterns are flagged for human review.

(29:40):
And if the investigation confirms predatory behavior, appropriate
action is going to be taken.
Human moderators.
AI does a lot, but there's still a
human element there.
And human moderators are involved in reviewing flag
content and behaviors.
They make final decisions about whether someone's behavior
violates Roblox rules and can take actions such
as suspending accounts or banning the players.

(30:03):
Collaboration with experts.
Roblox also works with external organizations and experts
in child safety to continuously improve its detection
systems and stay ahead of predatory tactics.
The collaboration helps ensure that Roblox safety features
stay effective in evolving online environments.
Our takeaways here is AI is used to
scan and detect harmful patterns.

(30:23):
Players reports are a crucial part of the
identifying problem issues.
Moderators play a vital role in investigating flag
content.
Roblox uses age-based restrictions to protect younger
players.
And parental controls give guardians additional control over
safety.
That is cool, guys.
Really, really cool.

(30:44):
I think we're going to see more of
that type of system out there.
So a big hats off to Roblox.
But you know, all these safeguards, you know,
they're really, really good.
But they don't replace knowledge, guys.
They do not replace knowledge.
And what I mean by that is you

(31:06):
need to educate those around you.
Explain to them what's going on.
And they're never too young to learn.
And sometimes the people that are older that
should know this stuff, it's sad.
But they don't.
So when there's millions of kids on the
platform, this is a huge move.

(31:27):
I hope the parents will take the initiative
to use these tools and use it as
an opportunity to teach their children how they
should be using the platform.
Not to police them, but to make sure
they don't get in any harmful damage.
Or make sure that, you know, some predator

(31:47):
or some bad actor doesn't try to meet
them at school or something like that, right?
Well, number 12.
The Helper app right now is tackling the
child care crisis head on.
It connects parents with vetted caregivers.
Helps them basically access subsides and works with

(32:11):
employers to make child care benefits easier to
get.
It's about giving families the support they need
without forcing them to, well, sacrifice their careers.
And I think this Helper app is a
pretty cool idea that they're putting out there
now.
And I think when we have tools like
this, it makes our world, you know, a

(32:33):
better place.
But again, these tools do not replace any
human interaction.
The child care crisis, guys, is real.
Let's face it.
And it's holding back millions of parents, especially
many women, from thriving at work and home.
So Helper is this new app that aims
to change that by giving them freedom and
connecting families with the vetted caregivers that they've

(32:55):
always desired.
So with high costs and limited support today,
apps like Helper could be a game changer,
making child care easier, more affordable, and a
true workplace benefit.
Because parenting shouldn't come at the cost of
your career.
And that could be whether you're in school
or maybe you're just in work.
Whatever it is, that's something that I think

(33:18):
is really a cool thing.
And ladies and gentlemen, Amazon Zoox RoboTaxi just
passed the key safety tests, clearing a very
major hurdle on the road to launching driverless
ride hailing vehicles with a launch planned in
Las Vegas very soon.
This could be one of the first autonomous

(33:39):
taxi services to hit the streets in a
major U.S. city.
That's going to be very interesting to hear
about the results of that.
And so they got the green light from
the federal safety officials to demo its driverless
RoboTaxis.
This move closes a year-long safety probe
and fast track Zoox's plan to scale production

(34:00):
at its new California factory.
With sites set on launching in Las Vegas,
supposedly later this year, I'm guessing that's going
to probably be Q3, Q4 actually, Zoox is
speeding toward reshaping the future of autonomous ride
hailing.
And I think that's something that a lot
of people want, but I think there's a
lot of things that have to be done
to make sure it gets done properly and

(34:21):
that it doesn't become, well, let's say a
complete nightmare for a lot of people, that's
a problem.
So, wow, a lot of information here, guys,
a lot of information.
So, and our last story for this evening
is Body and Lyft are teaming up to

(34:42):
bring, well, RoboTaxis to Europe starting in 2026.
Their first stops, the UK and then Germany
with plans for thousands of vehicles.
They're aiming to take on Uber in the
self-driving race and they're moving very fast,

(35:02):
guys.
I mean, extremely fast.
So, Body is teaming up with Lyft to
bring driverless RoboTaxis to Europe in 2026.
It marks a very bold move that Body
is taking to expand its autonomous vehicle services
globally and leveraging Lyft's recent acquisition of Germany's

(35:25):
free now ride hailing platform.
Pending regulatory approval, the partnership aims to deploy
thousands of RoboTaxis across Europe in the coming
years, challenging rivals like Uber in the race
for self-driving ride services.
So, very, very good question that I think
somebody was asking me and I'll be happy

(35:47):
to answer it.
What is the free now ride platform in
UK?
So, free now, so you can book basically
taxis with this.
And so, they basically call it mobility that

(36:07):
sets you free.
There are actually nine or 15 partners stores
and access personal data, like other data that
they get.
And they want to make sure also when
you go to the site that you're okay
with accepting that.
I usually reject that.
So, you can download the app, which is
very, very interesting.

(36:27):
So, you can book a backseat and let
top rated local drivers take you from A
to B to go to for stress-free
journeys, they claim.
So, it's not free in the sense that
it's a free service.
So, that can be a little misleading.
It's free, meaning that you can be free.

(36:50):
So, when I heard free now, I'm like,
oh, gee, they're gonna do it for free.
No, no, that's just a marketing tactic that
they are using.
Wow.
So, guys, that's just a small taste of
what's happening in the tech world right now.
And you know on The JMOR Tech
Talk show that I break it all down
for you in very easy to understand words,

(37:12):
because we do.
We take the trends for the week and
we start pushing them out Monday, twice a
day, Tuesday, Wednesday, Thursday, Friday, Saturday, and Sunday.
And everything from basically from Monday through Sunday,
that goes on the Friday show.
And so, I think a lot of people
out there are, well, they're becoming, how can

(37:34):
I say, not scared, but they're becoming confused
with technology.
I was speaking to some people the other
day and one person said to me, oh,
John, you know, I don't want to own
a computer anymore.
I said, well, why is that?
Oh, it's just too much work.
I have this, I have that.
I said, well, I get it's too much
work, but I mean, it's not.

(37:54):
It's like, you know, you're just frustrated at
the moment.
I mean, that's really all it's coming down
to.
And if you're frustrated at the moment, then
hopefully you can understand that, you know, you're
just having a slight, you're just having a
slight problem and you really just got to
focus on, you know, what that is.

(38:15):
And I think a lot of people today,
they don't really understand like what something means
or why they do something, but they do
it anyway.
And so if we say that you can
do something a certain way, then I would
tell you that that's pretty cool, right?
But a lot of people, when it comes

(38:35):
to technology, especially AI, they use it, but
they're not really sure why they're using it,
right?
I mean, I think that's a very, I
think that's a very weird thing.
And a lot of these people, like I
was talking to somebody the other day, they
said, I don't want a computer anymore.
I said, what do you mean?
They said, well, John, it's too much.
Like there was a storm and the computer

(38:57):
wasn't working right.
I'm like, well, that could happen.
Anything could happen with your car.
And so a lot of people, older people
don't give technology a chance.
You know, you just expect it to work.
I mean, let me give you a, for
instance, so people that were born, let's say
back in the forties and fifties, and you
know, you had your icebox, right?

(39:17):
I was born back then.
But you know, when the icebox didn't work,
did people complain?
No, they were happy that they had a
box they could put ice in.
And so today, when one little piece of
technology doesn't work, it's like, you know, we
cry every day.
But the real thing we have to understand
is that look how much progress was made

(39:38):
in the world.
I mean, that's really, I think that's really
the strength.
I mean, you know, I want to go
back here to a second and talk about
English.
You know, how ingots turn from that to
chips.
And I think this is probably an interesting
that I want to, I want to highlight
because a lot of people don't understand the
process.

(39:58):
So ingots are typically cast from molten metal,
like steel, aluminum, or copper.
And they basically are permitted to solidify into
specific shapes for storage and for easy transportation.
Before machining, the ingots may undergo further processing
steps like cropping to remove excess material, grinding
to ensure precise dimensions, or heat treatment to

(40:21):
optimize the properties of the ingot.
Machining involves using specialized tools to remove the
unwanted materials, such things like turning a rotating
workpiece is shaped by cutting tools move linearly.
Milling a rotating cutter with multiple teeth removes
material from the workplace.
Drilling a rotating drill bit creates holes in

(40:42):
the workpiece.
Grinding abrasives on a rotating wheel removes material
from the surface for high precision and smoothness.
Planning, a planer tool cuts linearly through the
workpiece.
And sawing, a saw cuts the material.
The thing about this is that it uses
very precise actions.

(41:04):
So when it cuts the ingot, it's literally
so very, very thin.
So how does a chip formation work?
So during machining, as the cutting tool emerges,
the workpiece undergoes plastic deformation and shearing.
The deformation separates the material from the workpiece
in the form of chips.

(41:25):
The shape and the type of chips continuous
go through and discontinuous or with built up
edges depend on lots of different factors, including
the workpiece material, ductility and the cutting speed
and the feed rate.
In essence, guys, ingots are pretty much the
basis to how we get our technology.

(41:47):
So the journey begins with the creation of
silicon ingots, which are pure silicon cylinders, typically
grown using methods like certain processes.
And this process involves melting pure silicon and
growing and withdrawing a rotating seed crystal from
the melt, allowing the silicon to crystallize onto
the seed, forming a large single crystal ingot.

(42:09):
They are then sliced.
Once the ingot is grown, it's ground to
a rough size, then precisely sliced into thin
disks called wafers.
Using diamond edge saws, wafer thickness is a
crucial ability for subsequent processes.
And I think that's a thing that most
people don't realize how thin these things really

(42:34):
are.
So there's wafer processing.
There's lots of steps.
Basically, there's photolithography, a thin layer of light
sensitive that's applied to the wafer.
A mask containing the chip's design is used
to expose specific areas to UV light, which
hardens the exposed photoresist area.
Etching exposed areas are then etched away, creating
the intricate circuit patterns that will form the

(42:56):
integrated circuits.
Doping involves the introducing of impurities to specific
areas of the wafer to alter its electrical
properties, allowing it to act as a semiconductor.
So we are able to add that on
because it is just a semiconductor, right?
Deposition and metallization layers of various materials, both

(43:17):
insulating and making things conducive, are deposited onto
the wafer.
They repeat and build this, and it goes
through many, many, many steps and lots of
checking.
And so then you have inspection.
After the fabrication, you have wafer dicing, the
process the wafers go through.
And then they're carefully cut into individual chips,
also known as dyes, using a process called

(43:38):
wafer dicing.
Then packaging comes along.
Finally, the functional chips are packaged into protective
casing, which provides electrical connections and protects the
delicate chip from damage during shipping.
These packaged chips are then ready for integration
into electronic devices.
And guys, I think when we can appreciate

(43:59):
how we can get into chips right now,
and we're getting down to chips like 4
nanometer.
I mean, we were at like 10 nanometer.
Now we're at 4 nanometer.
I mean, we're probably going to be at
2 nanometer in a year or two.
I mean, that is like amazing.
So when the chip gets smaller, it's actually
harder to make because you've got to put

(44:19):
things in a smaller area.
That's like amazing.
And so TSMC is right now the leader
in making wafer chips.
And so now we're able to do it
in the United States.
It is under their direction because it's their
company.

(44:40):
We just own the facility.
So we're nothing more than just the landlord.
But they are starting to open up things
to schools like Arizona State so they can
have students of the U.S. work there.
But they're going to work for TSMC.
They're not going to work for a U
.S. company.
I just feel the U.S. should be
a lot further than where we are.

(45:01):
And we should understand our technology well enough
that we can deploy it.
I mean, do you remember a few years
ago when we couldn't get smart keys for
our cars?
What's a smart key?
So that's a key that basically you have
in your pocket.
And when you come close to your car,
it unlocks when you touch the car.
Or you press a button to start your

(45:24):
car.
When you get in your car, it knows
the key is within close proximity.
So then it starts the car.
I remember getting into someone's vehicle.
I was helping them set up their iPhone
to pair it to the new car.
And so they were basically outside, but they
weren't in the car.

(45:45):
So they weren't close enough to the car.
So it wouldn't even start, even though they're
standing right next to me.
So that's just a security feature.
So I think a lot of these conveniences
that are out today in the world are
very important.
But many people just don't seem to appreciate
the why and the how of technology.
I think AI is going to give us

(46:06):
a lot more insight and research.
And AI now, I don't know if you
guys know this, but ChatGPT, I don't know
if you guys are aware that ChatGPT can
do this.
And maybe they don't make this very public.
But it's something very interesting.
It can do something I bet you didn't
know.
What can it do?

(46:28):
Yes, it can search the web in real
time to get the latest info.
Verify news or pull up current trends, events,
or data.
So I can ask it something.
Now, even though it's not directly in its
LLM, its large language model library, it can
still grab data from the web.
There's lots of systems out there that try

(46:49):
to gather data.
But a lot of times they gather it
wrong or they use a wrong site.
So sometimes when you're specifying an AI prompt,
you need to tell the data of the
system that use this data for this and
use this site for this.
Because it makes a calculation or a decision,
but it could be wrong.

(47:09):
And so although I think AI is getting
better, I still think we have a long
way to go.
And I think AI can definitely be very
similar to, in a sense, a calculator.
So what do I mean by that?
Calculators at the very beginning, this is my
scientific calculator that I use for all kinds
of math and computer science.

(47:31):
Calculators in the beginning just did addition, subtraction,
multiplication, division.
And they can do some formulas.
Now, we have the ability on our calculator
to not only calculate things and have things
like a periodic table and have like 12,
14, 15, 16 different types of programs on
there that are built in, plus we can
add our own.

(47:52):
And we have the ability to do that.
But we also have the ability to do
things like calculate a factorial.
And a factorial is nothing more than, let's
say, I say 6 factorial.
That would be 6 times 5 times 4
times 3 times 2 times 1.
I'm not going to get into the whole
detail.
But my point is that we're using technology
now to get somewhere that we could get

(48:15):
before.
But now we have a tool.
Let me give you another example.
So many of you guys know I'm finishing
up my discrete math, which is my last
prereq for my master's in CSAI.
Before this class, even in my other discrete
class, I was not permitted to use any
calculator.
This was not permitted.

(48:36):
Now, at the graduate level, we can use
a calculator.
But I don't want to tell you it's
easy because there was a test that was
on.
And I was literally crunching like how many
50 or 100 numbers I could crunch in
a minute because your fingers can only go
so fast.
And I discovered that if you had a
program, that'd be a lot faster.
But having the right calculator, and this puppy

(48:57):
uses like, how many does this use, actually?
This thing does not just use one battery,
guys.
This thing uses 1, 2, 3, 4 batteries.
As you watch, you can see that there.
I even made sure that I had, yes,
a set of spare batteries.
During my test, I used a lead pencil.

(49:18):
And so I also had to make sure
that I had refills.
And I was, you know, I knew how
to thread my pencil really well, which the
lead I use is equal to the lead
in a number 2 pencil.
So to delete on this kind of a
calculator, you don't just hit the Delete button.
You can hit Delete and go back.
But if you hit the Delete up here,
if you guys can see, I have a

(49:40):
choice.
I could hit Delete Line, or I could
hit Delete All.
I'm going to say Delete All.
Then it says Delete All, yes.
OK.
So let me give an example of how
you calculate factorial on this calculator.
If I take 5, I have some, you
guys may be seeing, if you're listening to
it, it says Jump, Delete, MatVCT, and it
has Math.

(50:00):
OK.
So I'm going to go to where it
says Options.
I get more options, List, Math, VCT, Complex,
Calc, Stat.
And I'll go to my next, I'll go
to my next screen.
And then I'll go to Problem.
And then I have some other things here.
So I'm going to select X Factorial.

(50:22):
Hit Enter.
And I get 120.
So could you have done that by hand?
5 times 4 times 3 times 2 times
1.
Sure you could.
But the thing is, when we're designing stuff,
we don't want to spend years.
And you have to know to hit the
Exit button, by the way, to get out.
That's another thing.

(50:43):
And also, to erase that, I would just
go ahead.
I can go ahead to my top.
I'm going to hit Exit.
So I'm back to my main menu, where
this is.
And I hit Delete.
Delete All.
I could do Line.
I did Delete All.
Now, if I go Exit again, I actually
get back to it.
I hit Menu.
And I have different modes.
So I have Run Matrix, which is basically
your calculator mode.
I have a Statistics mode.

(51:03):
I have E-Activity.
I have Spreadsheets.
I have Graphs.
I have Dynagraph.
I have Table.
I have Recursion.
I have Conic Graphs.
I have Reg Equations.
I have Programs, I can put in.
I have Financial.
I have Econ 4, which allows you to
connect your calculator to your computer.

(51:24):
Link, Memory, System.
And then I even have, which is really
cool, if I go to below System, I
have Geometry.
I have Picture Plot, 3D Graph, Conversion, and
Physium, which is basically your periodic table.
If I go to System and I hit
Enter on that, I get Main Memory, Storage

(51:45):
Memory, Backup, and Optimization.
So if I hit F1 right now, it
says my Main Memory is 696.
My Econ is 3360.
My Finance is 272.
My Setup is 200.
My Stat is 616.
System is 44.
Spreadsheets is 68.
Wide Data is 292.
3D Graphs, et cetera, et cetera.
My Physium, which is my Science, 2388.

(52:09):
And I mean, I think that's a very,
very cool thing.
And so using a calculator like this, you
can't just go and use this the day
of the test.
I mean, you've got to make sure you
know how to use this.
Or this is going to be like no
help.
If I go to Conversion, for example, the
Conversion menu, so I can go to Menu.
So basically, they moved it.
So I need to go to Menu.

(52:30):
And then I need to go to Option
F61.
So Menu, Option, Menu, Option.
I've got to go back to Menu.
So Menu, Menu through the Menu.
And then run the memory through the Option
key.
So I'll go to Option F6.

(52:53):
OK.
And then pretty much just there.
But it makes things so, basically, it says
they moved the Conversion menu, which I don't
know why they did that.
Run Menu through the Option key, F6, and
then F1 in the Run menu.
So you have to get to the Run
menu.
And so the Run menu is basically up

(53:14):
here.
Run menu is my one.
OK.
I go to Option F6.
And then I go to where it says
Convert.
And it asks you what I want to
convert.
So let's say I want to convert.
I want to convert 24 from length.
OK.
I want to convert it from.

(53:36):
Let's say I want to convert it from.
I don't know.
I'm going to convert it from inches to
what I want to convert it to.
So 24 inches converts to.
I don't know.
I'm going to convert it to something else.
I'm going to convert it to feet.
OK.
24 inches to feet.

(53:57):
and then I run it and it will
give me a conversion.
So pretty cool.
Oh to turn off this calculator, you don't
just hit the off button guys.
You actually have to hit the shift button
and you have to hit the off button
and then it's off.
Really really cool.
What I love about it is a nice
little case.
You just slip the case in like this

(54:19):
and my calculator really helps me in all
my tests.
It's a great a great tool and you
know what I'm trying to show you is
that many years ago we would be trying
to do math or advanced math on a
calculator that couldn't even do things like raise
to the power.
Now also something as simple as doing algebra
you could do on this and so when

(54:41):
you do algebra there's things like please excuse
my dear Aunt Sally.
So basically that's like your parentheses, your exponents,
multiplication, division, okay, and subtraction.
That's the order of operations you need to
do for algebra.
So when you put something in you even
can put things in like parentheses.

(55:01):
That was something you didn't need to do
because things weren't that involved back then.
So I think calculators are getting more sophisticated.
I think AI is getting more sophisticated but
I don't think that we have a true
solution to everything right now.
I think we're getting better to where we
are but I do believe that everything we're

(55:22):
going through is a learning phase.
And so whether you're using technology for your
business, just for your home, whether you're using
it to play sports, technology is evolving.
Next show we're gonna talk a little more
about TVs.
We didn't really talk about it today because
I recently just wrote an article about comparing

(55:43):
the Q, they call it the QL quantum
emitted diode TV QED and the OED, the
organic emitted diode QLED.
So the quantum LED TV and the organic
LED.
And we'll talk about it.
I think I want to talk about that

(56:04):
on the next show.
So guys I hope you enjoyed this show
and I hope you will check out BelieveMeAchieved
.com for more of my amazing inspiring creations.
So I put content up there every single
day.
There's short form content where you can watch
reels, you can watch shows like this over,
you can watch my other show, Inspirations for

(56:26):
Your Life.
And I think these are things that a
lot of people don't realize is that the
way we learn is through either watching others,
watching a video, listening.
But if we don't do these things, our
brain, well it goes stagnant.

(56:46):
If you don't exercise, what happens?
Your leg, your arm, it atrophies.
Now maybe people don't exercise every day, but
they do walk every day, right?
They do bend here and there, right?
They are moving different parts of their body.
If you were in your bed, let's say
for a few days and you didn't get
up, well those muscles would atrophy and it

(57:10):
might take you a while to basically be
able to walk again because your body is
going to just like not do that.
And I think this is the big confusion
when it comes to technology.
People believe that technology is here to solve
every problem.
And I want to tell you it's not.

(57:32):
Technology is here to be a tool to
guide us as humans through the problem.
So as we teach technology, we employ what
we're doing in a technology, we can then
not have to go through the mundane tasks.
We don't have to worry about doing something
or getting something set up.

(57:52):
We can use computers and technology.
And I think that's a really, really important
point.
Guys, again, I hope you'll check out BelieveMeAchieve
.com for more of my amazing, inspiring creations.
Every week I talk about all different types
of technology.
I hope you'll check it out and I'll
catch you guys on the next show next

(58:13):
week.
Have yourself a great rest of your weekend.