Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
All right, everybody, welcome to the deep dive. We are
(00:02):
diving into grock Chat today. This AI tool, it's making
some waves on product hunt, you guys know, product hunt
rights or all the cool new tech products you know,
kind of get their start. And the big buzzword with
this grock chat it's speed.
Speaker 2 (00:18):
Speed.
Speaker 1 (00:18):
Yeah, they're claiming to be the fastest inference engine for
AI language applications. But what does that even mean?
Speaker 2 (00:25):
Yeah, that's a good question.
Speaker 1 (00:26):
What are we talking about here?
Speaker 2 (00:26):
Yeah, so think of an inference engine kind of like
the brain behind these large language models, these AI language models.
You know, we call them llms for short. Okay, So
when you ask a question or you give it a command,
it's the inference engine that figures out what you mean, okay,
and then it uses the LM to actually give you
that response. So you know, it's the translator between us
(00:48):
and the AI Okay.
Speaker 1 (00:49):
So it's like the middleman.
Speaker 2 (00:50):
Yeah, exact, got it?
Speaker 1 (00:51):
Got it? Okay? But why is speed so important? I mean,
as long as I get an answer eventually, does it
really matter if it takes you know, a couple extra
milliseconds or looks per seconds?
Speaker 2 (01:01):
Well, I mean, think about it. This way would you
use a search engine that took you know, minutes to
load each page?
Speaker 1 (01:10):
No way, probably not, especially in today's day and age.
Speaker 2 (01:13):
Right, yeah, exactly. So it's the same thing with AI.
You know, speed is crucial for making AI feel natural
and seamless and just a good user experience, and GROC
claims to be the fastest. They clock in at something
like five hundred tokens per second, which is.
Speaker 1 (01:29):
Wild five hundred tokens per second. Okay, help me out here,
because I don't even know what that really means.
Speaker 2 (01:33):
Yeah, so tokens are kind of like these little chunks
of language. So five hundred tokens per second, it's like
processing a whole paragraph of texts in the blink of
an eye.
Speaker 1 (01:42):
Wow. Okay, so we're talking about like really really fast.
Speaker 2 (01:44):
Oh yeah, super fast.
Speaker 1 (01:45):
Okay, so how do they actually achieve that speed?
Speaker 2 (01:47):
Yeah? So this is where things get really interesting. Okay,
GROC actually built their own custom hardware for this. They
call it the Language Processing Unit or LPU MLPU. Yeah,
kind of like how you know GPU's revolutionie graphics and gaming. Right,
GROK is doing something similar, but for language, oh icee.
Speaker 1 (02:04):
So it's like they're not relying on just general purpose
hardware exactly.
Speaker 2 (02:08):
Yeah, they've created something that's specifically designed to process language
really really efficiently.
Speaker 1 (02:15):
Wow. Okay, so this LPU thing, is it like a
potential game changer? I mean, could this be like the
next big thing in AI hardware?
Speaker 2 (02:24):
It very well could be. I mean it's definitely shaking
things up.
Speaker 1 (02:26):
Yeah for sure. Okay, Well, let's shift gears a little
bit and talk about what actual users are saying about
croc Chat. We dug into the product hunt reviews. Oh yeah,
and there seems to be a lot of buzz around
this tool.
Speaker 2 (02:39):
Yeah, there's definitely a lot of excitement, especially among developers. Okay,
but the general vibe is super positive. People are using
words like lightning fast, unparalleled speed. Some are even saying
that Grock is.
Speaker 1 (02:50):
Crushing it, Wow, crushing it. Okay, So are these like
real companies that are using groc Chat.
Speaker 2 (02:56):
Yeah, a lot of these reviews are actually from companies
that are using Groc's APIs.
Speaker 1 (02:59):
Okay, so back up for a second. Remind me what
an API is.
Speaker 2 (03:02):
Sure, So, an API is basically a way for developers
to connect their own software to GROS technology. So it's
not just about you know, using rock chat as like
a standalone tool, it's about integrating it into other products
and services.
Speaker 1 (03:17):
Oh. Interesting, So they're kind of going for like a
behind the scenes approach.
Speaker 2 (03:19):
Yeah, exactly. They want to be the engine that's powering
a whole bunch of different AI applications.
Speaker 1 (03:24):
Gotcha. So it's not necessarily just competing head to head
with something like CHATGPT, right, it's.
Speaker 2 (03:29):
More about, you know, providing the underlying technology for a
wide range of AI experiences.
Speaker 1 (03:34):
Okay, I see, So what are some examples of how
companies are using Groc's APIs.
Speaker 2 (03:40):
Yeah, so there's this one company that's using rock to
power their RG sandbox RG sandbox.
Speaker 1 (03:46):
What's a ROCK sandbox?
Speaker 2 (03:48):
So RG stands for retrieval augmented Generation, Okay, and it's
basically a way to build AI that can access and
use external knowledge. So you can imagine like having an
AI assistant can actually read through documents and websites and
you know, pull in relevant information.
Speaker 1 (04:04):
Oh that's cool. Yeah. Yeah, So it's not just limited
to like its own internal knowledge base exactly.
Speaker 2 (04:09):
It can actually learn and grow based on the information
it finds out in the world.
Speaker 1 (04:13):
That's awesome. So are there any other cool examples of
how people are using GROC.
Speaker 2 (04:17):
Yeah. I mean there's another one where a game developer
said that they're using GROC to create these really complex
AI agents that can you know, interact with the game
world and really sophisticated ways. And they were saying that
the speed of GROCK is like the key to making
all of that possible.
Speaker 1 (04:34):
Oh wow, So it sounds like Grok is being used
for some pretty like cutting edge applications.
Speaker 2 (04:39):
Definitely, it's not just your average chatbot, you know, it's
empowering some really advanced AI.
Speaker 1 (04:44):
Yeah. Fascinating. Okay, well, let's dig into some of those
user reviews a little bit more. Yeah, you mentioned some
pretty colorful quotes.
Speaker 2 (04:50):
Oh yeah, there's a lot of good ones in there.
Speaker 1 (04:52):
Give us an example.
Speaker 2 (04:53):
Yeah, so, one developer said that Groc's unparalleled speed enables
complex agentic workflows to.
Speaker 1 (04:59):
Be agentic workflows.
Speaker 2 (05:01):
What are we talking about here, Yeah, so basically it's
like having AI that can perform these complex tasks without
any human intervention. Wow, So like making decisions based on
data and carrying out actions all on its own.
Speaker 1 (05:13):
Oh that's wild. Sounds like something out of a sci
fi movie, right, Yeah, Okay, so a lot of excitement
around growth, speed and its capabilities, but it's not all
sunshine and rainbows, is it.
Speaker 2 (05:24):
Well, I mean, most of the reviews are positive, but
there are a few that are a bit more mixed.
Some users are highlighting, you know, the tailored functionalities and
personalization options, while others are simply stating that it's you know,
like chat GPT but free.
Speaker 1 (05:40):
Oh interesting.
Speaker 2 (05:41):
Yeah. So you know, you've got people who are really
impressed by its unique features, and then you've got others
who are kind of just seeing it as more affordable
alternative to what's already out there.
Speaker 1 (05:51):
Right, so it seems like there's a bit of a
split in terms of how people are perceiving grog Chat.
Speaker 2 (05:57):
Yeah exactly.
Speaker 1 (05:58):
We're seeing it is this revolutionary technology, while others are
kind of like, eh, it's just another chatbot.
Speaker 2 (06:04):
Yeah. So it raises an interesting question. Is Groke trying
to be everything to everyone or are they focusing on
a specific.
Speaker 1 (06:12):
Niche Yeah, that's a good question.
Speaker 2 (06:14):
You know, are they going after that developer audience who
really needs that speed and power, or are they also
trying to appeal to the everyday user who just wants
a simple and easy to use AI tool.
Speaker 1 (06:26):
Yeah, we'll have to keep digging into.
Speaker 2 (06:28):
That, Yeah, definitely.
Speaker 1 (06:30):
Yeah.
Speaker 2 (06:30):
Yeah, it's really interesting to see how Groke is trying
to kind of navigate this really crowded AI space. You know,
they're focused on speed. It's definitely a differentiator, but like
you said, there's got to be more to it than
just raw power.
Speaker 1 (06:46):
Right exactly. It seems like they're trying to walk this tightrope, yeah,
where they're appealing to both like developers who want to
use their APIs and also everyday users who are looking for,
you know, a powerful AI tool. Can they really do both?
Speaker 2 (07:00):
That's the question, right, I mean, can they really pull
off that balancing act because you know, developers they need performance,
they need reliability, but everyday users they might be more
interested in you know, ease of use, cool features. It's
like trying to design a race car. Yeah that's also
a comfortable family sedan.
Speaker 1 (07:16):
Right, It's like you need both exactly. Yeah, tough to do, Okay.
So going back to those user reviews for a second, Yeah,
did you find anything about you know, Grock's strengths or
weaknesses aside from the speed, of course.
Speaker 2 (07:29):
Yeah, So one thing that came up a lot was
the customer support. Okay, a lot of developers were mentioning
how helpful and responsive the Grock team was. Oh that's good,
which is huge, you know, especially in a field like
AI where things are changing so quickly.
Speaker 1 (07:42):
Yeah. I mean, if you're a developer and you're trying
to integrate this new technology into your product, right, you
want to know that there's somebody there who can help
you out if you run into any problems.
Speaker 2 (07:51):
Exactly. It really shows that Grock cares about, you know,
their user's success.
Speaker 1 (07:56):
Yeah. Absolutely. What about on the flip side, were there
any like recurring complaints or limitations that people mentioned?
Speaker 2 (08:05):
You know, it's funny, there wasn't really a ton of criticism.
Some users wanted more features or integrations, but it felt
more like suggestions for the future, not really complaints about
the current product.
Speaker 1 (08:18):
So it seems like they're off to a pretty good start.
Speaker 2 (08:20):
Yeah. I mean for a company that's relatively new to
the AI scene, they're definitely making a strong impression.
Speaker 1 (08:26):
Yeah, they've got the speed, they've got that developer focus,
and they seem to have a really dedicated team.
Speaker 2 (08:30):
Yeah.
Speaker 1 (08:32):
So what could this mean for the future of AI?
I mean, is going to be like the next big thing.
Speaker 2 (08:38):
Well, I mean it's hard to say for sure, but
you know, if they can keep delivering on these promises
of speed and efficiency, they could really revolutionize how we
use AI in all sorts of applications. Could be some examples, Yeah,
I mean, think about everything from chatbots to self driving
cars to even scientific research. If you can speed up
(09:00):
the AI processing that powers all those things, yeah, it
opens up a ton of new possibilities.
Speaker 1 (09:05):
Wow. Yeah, it's kind of mind blowing to think about
the potential here.
Speaker 2 (09:08):
It really is. But you know, the AI landscape it's
super competitive. Oh yeah, new tools are popping up all
the time left and right, right, So the big question
is can grow maintain its edge?
Speaker 1 (09:20):
Yeah? Will they be able to stay ahead of.
Speaker 2 (09:21):
The curve exactly? Will they be able to keep innovating
and coming up with new ways to push the boundaries
of what's possible with AI?
Speaker 1 (09:30):
Right? And will other companies try to catch up in
the speed department.
Speaker 2 (09:34):
Yeah, that's another good question. I mean, performance is always
a key factor in computing, so I wouldn't be surprised
if we start to see a kind of speed race
emerge in the AI industry.
Speaker 1 (09:44):
Oh yeah, like everyone's trying to one up each.
Speaker 2 (09:46):
Other exactly, trying to claim that they're the fast, is
the most efficient.
Speaker 1 (09:50):
Wow. Yeah, it'll be interesting to see what kind of
innovations come out of that competition.
Speaker 2 (09:55):
Definitely, And you know, ultimately it's the users who benefit,
right as AI become more powerful and more accessible.
Speaker 1 (10:01):
Yeah, that's a good point. Competition is good.
Speaker 2 (10:04):
It is.
Speaker 1 (10:04):
It drives innovation exactly.
Speaker 2 (10:07):
So let's hope that the speed race leads to some
amazing new AI tools and technologies.
Speaker 1 (10:13):
Yeah. I'm excited to see what the future holds me too.
It really is amazing to think about how quickly technology
is evolving. AI is changing things so fast. Yeah, and
grock Chat it's a perfect example of that.
Speaker 2 (10:25):
Yeah, it really is. I mean, it's fascinating to see
how they're kind of challenging the status quo in the
AI world. You know, that decision to create their own
specialized hardware with the LPU.
Speaker 1 (10:40):
The LPU, Yeah, it's a bold.
Speaker 2 (10:43):
Move, it is, but it could really chaof.
Speaker 1 (10:45):
It's like they're thinking differently, right, Like everyone else is
so focused on software and Growk is like, no, we're
gonna build the hardware too.
Speaker 2 (10:54):
Yeah, they're taking a more holistic approach to AI processing,
which is really interesting.
Speaker 1 (10:59):
It reminds me of how sometimes, you know, the biggest
breakthroughs come from just totally rethinking the fundamentals.
Speaker 2 (11:04):
Absolutely, you know, it's not always about just making incremental improvements.
Sometimes you got to step back and say, okay, how
can we do this completely differently?
Speaker 1 (11:12):
Yeah, and growk is a great example of that.
Speaker 2 (11:15):
Yeah.
Speaker 1 (11:15):
You know, we were talking earlier about those user reviews
and how there was such a diversity of perspectives, right,
so people were like, this is amazing, this is the
fastest thing ever, and other people were a little bit
more measured. Yeah, like it's good, but it's not that
different from what's already out.
Speaker 2 (11:30):
There, right, you know, I actually think that range of
perspectives is really valuable. It tells us that groc chat
it's not just a one trick pony. It's a tool
that can be used in a lot of different ways.
Speaker 1 (11:43):
Yeah, it's versatile exactly. But it also suggests that maybe
groc is still trying to figure out who their ideal
user is.
Speaker 2 (11:51):
Yeah, you know, are they going after the mass market, right,
or are they focusing on those specific niches where speed
is like the most important.
Speaker 1 (12:00):
Yeah, that's the big question.
Speaker 2 (12:02):
It is, and you know, only grot can answer that, right,
But I think it's a good sign that they're experimenting,
that they're exploring different options. Yeah, because in the market
like this, you got to be adaptable, you.
Speaker 1 (12:13):
Got to be able to pivot exactly. Yeah. Well, one
thing's for sure, what's that groc chat has made a
big splash definitely in the AI world.
Speaker 2 (12:21):
It's made people take notice.
Speaker 1 (12:23):
Yeah, and I think we're gonna be hearing a lot
more about them in the years to come.
Speaker 2 (12:26):
Yeah, I agree, But for now, I want.
Speaker 1 (12:28):
To leave our listeners with a final thought. Okay, as
AI gets more and more powerful and it's becoming more
integrated into our lives, what role is speed going to play?
Speaker 2 (12:40):
Yeah that's a great question. You know, is speed going
to be the thing that unlocks all these new possibilities, right,
the thing that drives mass adoption?
Speaker 1 (12:51):
Or are there other factors that are just as important?
Speaker 2 (12:53):
Yeah, like ethical considerations, data privacy, the ability for AI
to actually collabor rate effectively with humans. These are all
things we need to think about.
Speaker 1 (13:03):
Yeah, we need to have these conversations as AI continues.
Speaker 2 (13:07):
To evolve, because it's not just about the technology itself.
It's about how we use it and how it impacts
society exactly. So you keep those questions in mind as
you explore the world of AI.
Speaker 1 (13:17):
Yeah, and stay curious.
Speaker 2 (13:19):
Yeah.
Speaker 1 (13:20):
Well that brings us to the end of our Deep
Dive into grock Chat.
Speaker 2 (13:24):
Great episode, Thanks for joining us.
Speaker 1 (13:26):
We hope you learned a thing or two and that
you're just as excited about the future of AI as
we are.
Speaker 2 (13:30):
Yeah. Thanks for listening everybody, and.
Speaker 1 (13:32):
A huge thank you to our amazing producer Usman use
Off the best. He makes this whole show possible. If
you're looking for some expert guidance on anything digital marketing.
Speaker 2 (13:42):
Related, oh yeah, he's your guy.
Speaker 1 (13:43):
Connect with him on LinkedIn. His handle is at Usman
nine nine nine nine.
Speaker 2 (13:48):
You won't regret it.
Speaker 1 (13:50):
All Right, that's it for this episode of the Deep Dive.
Until next time, stay curious, keep learning, and keep pushing
the boundaries of what's possible.
Speaker 2 (13:58):
We'll see you next time.