Imagine having a team of brilliant experts. Not
just a chatbot giving facts, but something that
really thinks, plans, acts for you. Instantly,
they're in your pocket. This isn't sci -fi anymore.
It's actually here. It really feels that way.
Welcome to the Deep Dive. Today, we're plunging
into what feels like, well, a huge moment in
AI. Yeah, the GPT -5 launch. Exactly. OpenAI's
GPT -5. Our mission is to unpack the pretty bold
claims. Which are surprising. Definitely surprising.
And what this new unified model really means
for you. We'll cover its capabilities, its immediate
impact, and then look at other big A. So it's
not just about being faster then. It's about
a different kind of intelligence working together.
I think that's the idea. It's a significant leap,
yeah. It allows for way more... Okay, that's
different. And there's this real -time routing
thing, too. The model decides for itself. Quick
answer needed? Or does this need deeper thought?
And it just does it. Yeah, no user input needed
for that switch. That's why OpenAI is calling
it an agent over chatbot. Agent over chatbot.
Their pitch is basically a team of PhD -level
experts in your pocket. That's quite the image.
And they're saying it's the best model in the
world. Do the numbers back that up? What about
those benchmarks? The numbers are pretty strong,
yeah. Coding, for example, 74 .9 % accuracy.
Okay, 74 .9. How's that compare? It just edges
out Claude Opus 4 .1, which was at 74 .5%. Very
close. Very close. Yeah. But it really pulls
ahead of Google's Gemini 2 .5 Pro, which was
59. That's a big gap. What about other areas
like science? Science Q &A, it hit 89 .4%. That
beats Claude Opus 4 .1 at 80 .9%. And even Grok
4 Heavy at 88 .9%. Impressive. But I saw something
about healthcare accuracy. That seemed really
striking. Yes, that's maybe the biggest deal.
The hallucination rate, you know, when the AI
just makes stuff up. Yeah, always a worry. It
dropped to just 1 .6%. 1 .6%, seriously? Seriously.
Compare that to GPT -40's 12 .9 % or 03's 15
.8%. Massive reduction. Wow. What does that mean,
practically? Well, it's not really for solo diagnosis,
obviously. But for things like summarizing research
papers for a doctor, much, much more reliable.
Humanity's last exam. Super hard reasoning benchmark.
OK. GPT -5 scored 42 percent, which is just slightly
under Grok for heavy is 44 .4 percent. So it's.
700 million people? That's almost 10 % of the
planet. Getting access overnight? Instantly.
It's a massive strategic play by OpenAI. Keep
users in their ecosystem. You know, FightOff,
Anthropic, XAI, Google. Makes sense. Lock them
in with the best stuff. Exactly. It's about market
share and keeping users engaged. You know, it's
funny. I still wrestle with confidence myself
sometimes. Getting the AI to consistently understand
what I mean, especially over several turns on
a complex task. This is sort of the idea of a
model that just gets it for those multi -step
things without me having to constantly tweak
and rephrase. Right. Less babysitting. Yeah.
That feels like a genuine game changer for actually
using it effectively day to day. Definitely.
So boiling it down. Yeah, the rivalries are heating
up, aren't they? Like, hours after GPC 5 dropped,
Elon Musk claimed his Rock 4 Heavy was already
smarter. Right, said it was smarter two weeks
before the launch, though, you know, no published
benchmarks to back that up yet. Still, it shows
that intense personal and tech rivalry. And speaking
of competition, OpenAI affordably spent, supposedly,
$1 .5 million per employee. Yeah, for about 1
,000 staff. Over $1 .5 billion total right before
the launch. Just to keep talent from jumping
ship. Seems like it. It's a war for talent out
there. Huge money flying around. And huge...
They just raised $100 million and a $3 .1 billion
valuation. Wow, that's a steep climb. Yeah, a
6x increase in less than a year. And get this,
they've been profitable since day one. Profitable
in AI research, that's rare. Very. And they massively
cut the cost of using their video models from
like $1 ,400 an hour down to $0 .25 an hour.
Okay, wait, $1 ,400 down to $0 .25? Yeah, that's
completely disruptive for anyone working with
video generation. He makes it accessible. That
cost reduction alone is revolutionary. And on
a more relatable note, there is this funny thing
on Reddit. Yeah. A senior D. And from people
wanting to learn this stuff. Andrew Ng, you know,
the AI pioneer. Sure. He announced a big free
course on Cloud Code partnering with Anthropic.
Free course from Andrew Ng, nice. Yeah, focused
on what they call agentic AI, AI that acts with
more autonomy. Great opportunity to learn from
one of the best. Okay, so when you put all these
things together, the rivalries, the new tools
like 1, 2 .2, the cost drops from Dakar, even
the funny explanations and the courses. Picture
the pain of the AI landscape right now. It's
intense competition driving incredibly rapid
innovation, leading to practical, accessible
applications emerging almost constantly. Constant
mode. and they're already weaving GPT -5 into
basically everything. Yeah, consumer stuff, developer
tools, corporate offerings. They're moving fast.
And Duolingo. Remember the backlash when they
went AI first? Well, it seems like that's tied
down. One release isn't hurting their momentum
much. Interesting. People adapt quickly, maybe?
Maybe. Okay, here's one that's a bit out there.
Oh. Go on. Oh. Imagine an AI system discovering
a new kind of physics. Yeah, that expands what
discovery even means. Wow. That idea of AI discovering
new physics, it really is profound. Kind of humbling.
Absolutely. Also, a quick one. Adapt their reasoning
in real time. Adapt their reasoning, meaning?
Meaning they move beyond just using their static
pre -trained knowledge. They're not just reciting
facts they learned. Okay, so it's more dynamic
than just recalling information. Exactly. And
the results are impressive. It tripled GPT -4
.1's accuracy on tough biomedical questions.
Tripled it? Yep. And it even outperformed O3,
which is already a top reasoning model. How does
it do that? It generates these internal feedback
loops while it's working. It can manage its own
memory, recognize when it's uncertain about its
own reasoning, and then this is the key part,
revise its answers mid -process. So it's like
it's thinking out loud to itself and correcting
its own path. That's a great way to put it, a
kind of self -reflection and correction. Like
an internal monologue almost. Yeah. And what's
really cool for users, especially scientists
or devs, is the control it offers. Control how?
You can set uncertainty thresholds, basically
telling it how sure it needs to be. You can rerun
its reasoning paths, even tweak them. So you
can see how it's thinking and guide it. Exactly.
You can oversee how it handles tricky, ambiguous
problems. And it gives you regular, but also
flexibility. That sounds incredibly useful, not
just getting the answer, but understanding the
process. Right. It's like a video GPS. Yeah.
Instead of one fixed route. Yeah. It's like a
GPS that can dynamically rethink your path mid
-drive if it hits traffic or finds a better way.
That's a fantastic analogy, adapting on the fly.
It really is. And it raises a big question, doesn't
it? Which is? If Microsoft can make GPS... P4
.1, I think. Steer and adapt like this. What
happens when they apply CLIO to their next generation
models? Oh, yeah. The potential there seems huge.
Immense. Right. Powerful AI reasoning, suddenly
accessible to hundreds of millions. It's a huge
shift from just chatbots to these dynamic assistants
that can actually do complex things. And then
you add things like Microsoft CLIO. And you see
AI itself becoming more fluid, more adaptive.
Yeah, not just static knowledge anymore. Exactly.
They're becoming systems that can think, self
-correct, learn in real time, explore new possibilities.
The pace is just wild. The competition's intense.
But the end result seems to be... AI that's more
capable, more practical. And just more integrated
into everything we do. It's an incredible moment
to watch unfold. It really is. So maybe something
for you listening to think about. Yeah. How might
these new capabilities, especially this idea
of an AI agent in your pocket, actually impact
your daily life? Yeah. Your work. What specific
task would you just hand over to this new level
of AI? Yeah. What's the first thing you'd want
it to handle for you? And maybe a bigger thought.
If AI can discover new physics like we talked
about or adapt its thinking like CLIO, how does
that change our own understanding of intelligence
itself in the years ahead? What does it mean
for us? Deep questions. Lots to ponder. Definitely.
We hope you found some aha moments in this deep
dive. And hopefully you'll keep exploring all
these fascinating developments with us. Thanks
so much for joining us. Until next time, keep
exploring.