We are looking at a fundamental shift in the
AI landscape today. Right. I mean, scammers are
literally using AI to spin up 10 ,000 deceptive
ads an hour right now. It is forcing Google into
an unprecedented algorithmic war. Welcome to
the Deep Dive. We're really glad you're joining
us. Yeah. Thanks for hanging out with us. Today
we're tracking Anthropic's sneaky new pricing
model with Cloud Opus 4 .7. We'll also explore
how GPT 5 .4 Pro just made math professors weep.
Oh, that story is absolutely wild. It really
is. And we're going to unpack why Google is radically
changing how it fights internet scammers. Let's
start with the new intelligence baseline. Cloud
Opus 4 .7 is officially out. It's positioned
as their smartest public model. Yeah, it's a
completely fascinating release. They're calling
it the most reliable model available right now.
It actually holds the highest public spot on
the HLE benchmark. And that stands for human
level execution, right? Exactly. And it hit 46
.9 % without using any external tools. That number
alone is quite impressive for a public model.
But there is a totally new dynamic at play here.
The whole smarter means more expensive thing.
Right. The actual token prices are the exact
same as 4 .6. But Opus 4 .7 just thinks much
more. It uses higher effort levels to verify
its own outputs. Right. So it checks its own
underlying logic for complex coding. It doesn't
just spit out the very first answer. It pauses.
It reflects internally and, you know, verifies
the math before it ever speaks to you. This completely
changes how we interact with the machine. I mean,
I still wrestle with prompt drift myself. Oh,
absolutely. We all do. You ask an older model
for a complex script and halfway through it just
forgets the original parameters. Yeah, the context
window just degrades over time. But Opus 4 .7
actively fixes that drift. The internal verification
acts as an anchor. It's basically your new baseline
for professional reliability. Let's compare the
broader HLE stats a bit. Gemini 3 .1 Pro is sitting
at 44 .4%. And GPD 5 .4 Pro is at 42 .7. So Claude
is clearly leading the pack right now. But we
really cannot ignore the mythos shadow. Oh man,
the mythos shadow. It's brilliant, slightly intimidating
marketing. Anthropix model card directly compared
4 .7 to Claude Mythos. Which is their unreleased,
highly guarded internal model. Right. And it
scores 56 .8 % on that exact same test. That
is a massive 10 % jump. They're deliberately
holding back the true frontier to show us exactly
what's coming next. I kind of think of the Opus
pricing like hiring a contractor. How do you
mean? Well, you hire someone who charges the
exact same hourly rate. but they take 40 hours
instead of 10. Ah, I see. They do it to guarantee
a perfect foundation, so you end up paying more
for that extra hidden time. Yeah. Speaking of
extra time, we really have to look at GPT 5 .4
Pro. Whoa, imagine a machine generating a mathematical
proof so beautiful it makes human professors
weep. Many experts are saying human intuition
is officially cooked. Because it cracked that
legendary 60 -year -old ergo's problem? I want
to linger on that idea for a second. Go for it.
Paul Erdős was this eccentric, brilliant, 20th
century mathematician. He believed God maintained
a metaphorical book containing the most perfect,
elegant proofs for every theorem. Right, the
famous book proofs. And mathematicians strive
to find those specific proofs. Exactly. They
aren't just looking for the right answer. They're
looking for the most elegant, logical path. AI
was always supposed to be just a brute force
calculator, right? Yeah, we thought it would
solve math by just crunching endless numbers.
But GPT -5 .4 Pro didn't do that. It found a
genuinely beautiful, elegant solution. Two -sec
silence. Does giving a model extra computing
time actually guarantee a correct answer, or
just a highly confident wrong one? Well, it's
actually about verifying the core logic. It doesn't
just expand the text volume. You know, it actively
checks the steps before it answers and runs internal
tests against its own assumptions. So more compute
equals genuine verification. But you better watch
your token budget. Precisely. You are paying
for that internal reflection now. And this massive
leap in reasoning changes everything. It fundamentally
alters the entire business model of artificial
intelligence. You simply cannot offer flat monthly
rates anymore when machines are doing this kind
of heavy computational labor. The economics simply
don't work out. I mean, if a user asks for a
60 -year -old math proof, the machine works overtime.
And Anthropic just made a massive move to address
this. They officially shifted Claude Enterprise
to usage -based billing. Which perfectly matches
your actual compute needs. Heavy corporate users
are definitely going to see a sharp price jump.
It is a completely necessary move for their survival,
though. The hardware supporting this hidden reasoning
is... booming right now. Cerebra Systems just
snagged $850 million in new funding. That is
a staggering amount of capital to raise overnight.
It boosts their total funding to nearly $3 billion.
$2 .85 billion, to be exact. They are building
faster, vastly smarter AI hardware. We desperately
need that physical power to run these heavy tools.
Look at the new Cloud Code desktop app. Yeah,
that thing is entirely designed for parallel
urgent decoding. Software that independently
writes, tests, and ships its own code. Beat.
It runs complex sessions across multiple repositories
simultaneously. Or it doesn't just sit around
waiting for you to hit enter. It just gets to
work. Yeah. And these tools are merging with
our daily design work. Canva just dropped their
massive AI 2 .0 update. Yeah, using prompt -powered
tools for almost everything now. You design and
edit via simple text descriptions. Google is
doing the exact same thing within their ecosystem.
They unlocked a side -by -side AI mode directly
in Chrome. That supports deep multi -tab grounding
and massive PDF analysis, right? Exactly. You
access it seamlessly via a new plus menu. But
the real industry drama is the suspocalypse.
Oh, yeah. Rumors are exploding online about Opus
4 .7 being a legitimate Figma killer tool. Let's
unpack the causality there. Figma is the absolute
industry standard for interface design. Right.
Everybody relies on it. If Opus can generate
perfect tested interfaces from simple text prompts,
Figma's dominance is totally threatened. And
the timing of these rumors is highly suspicious.
Because Chief Product Officer Mike Krieger just
abruptly quit Anthropix Board. And Krieger is
a legendary design visionary. He co -founded
Instagram. Right. It feels like the entire design
industry is bracing for impact. He might be stepping
away due to direct conflicts of interest. The
fundamental landscape of software is shifting
under our feet. Two sec silence. Are we seeing
the death of the flat rate software subscription
model in real time? Well, processing power is
a hard physical constraint. Charging per use
is really the only sustainable path forward.
These companies just can't absorb infinite compute
costs. Right. Usage -based billing means we are
basically paying for digital electricity now.
That is the perfect way to look at it. Businesses
are paying for AI like electricity. They use
it to build amazing complex things every single
day, but bad actors are constantly using that
exact same cheap electricity. To break things
at an unprecedented scale, Google's 2025 ad safety
report is honestly terrifying. Scammers are using
large language models at a truly massive scale.
Yeah, they churn out 10 ,000 unique ad variants
an hour. That volume would have been physically
impossible just two years ago. Let's explain
how that actually works. In the past, a scammer
uploaded a single malicious ad. Right. Google
caught it, banned the account, and blacklisted
the image. The problem was temporarily solved.
But now that same scammer uses an LLM. The AI
generates 10 ,000 completely unique variations
of the ad copy. So banning the individual accounts
is now totally useless. Bad actors just script
new ones via API instantly. It takes a millisecond.
Google had to change their entire defensive strategy
to survive. They are essentially banning AI ads
entirely, but they're surprisingly keeping the
actual advertisers on the platform. They're fighting
fire with fire using their Gemini models. They
trained Gemini to target the content instead
of the individual creators. It looks for the
semantic intent behind the deceptive ad. The
statistics on the shift are absolutely wild to
read. Yet Google removed 8 billion ads globally
last year, yet the total number of suspended
accounts actually dropped. In the United States
alone, 1 .7 billion ads were pulled. And in India,
the metrics look even more extreme. Blocked ads
nearly doubled almost overnight to 483 .7 million.
Meanwhile, actual account bans in India fell
sharply. They went from 2 .9 million down to
1 .7 million. Because Google focuses purely on
policing the individual creatives now. And this
new automated approach is highly effective in
practice. They successfully reduced accidental
account suspensions by 80 percent. Google claims
their systems catch 99 % of policy -violating
ads. Literally catching them before human eyes
ever see them. But there is a huge, undeniable
business tension here. Google's massive corporate
revenue depends entirely on ads running continuously.
Right. Balancing platform safety with the bottom
line is incredibly tricky. It is especially hard
when 602 million blocked ads were malicious scams.
That is a massive volume of bad traffic to filter
out daily. Two sec silence. If Google's AI catches
99 % of scams, what happens when scammers upgrade
to smarter AI? It just forces Google's Gemini
to train even harder. It creates a perpetual
invisible machine war behind the scenes where
neither side can ever afford to stop innovating.
It essentially becomes an endless arms race between
two opposing algorithms. And it never really
stops. This invisible arms race is completely
fascinating. But it's not just happening in the
dark shadows of the internet. The people actively
using AI every day are fundamentally changing.
We're seeing a massive demographic shift in real
time. The original bro culture of ChatGPT is
rapidly closing. At launch, roughly 80 % of all
early users were men. It was heavily dominated
by coders and tech enthusiasts. But new viral
data shows a massive, rapid demographic shift.
AI is truly becoming a universal human tool now.
We are seeing the total normalization of AI.
Everywhere. People who never coded a day in their
lives are now power users. Google Chrome Skills
is a perfect example of this accessibility. It
lets everyday users save and instantly repeat
complex AI workflows. You discover a great prompt
sequence and you just save it. You don't have
to be a dedicated prompt engineer anymore. You
just click a button and the browser handles the
heavy lifting. Then you have the new Gemini 3
.1 Flash TTS. which brings incredibly realistic
multi -speaker dialogue to the table it seamlessly
supports over 70 distinct languages right and
with inline audio tags too so you let users control
the emotion you adjust the pacing and the tone
of the synthetic voice It feels incredibly natural
and intuitive for regular people to use. And
XPilot is becoming incredibly useful for modern
educators. Oh, yeah. It takes plain text documents
and turns them into accurate video courses. It's
perfect for users who need to explain complex
things clearly. It totally removes the inherent
risk of dangerous AI hallucinations. Because
it strictly grounds the video generation in your
provided text. It doesn't invent new facts. It
just translates your document into a highly engaged...
These tools are deeply embedding themselves into
our daily routines. They're no longer standalone
websites you have to intentionally visit. You
don't have to open a separate tab to access the
intelligence. It is just baked into the browser
you already use. Beat. As demographics broaden
and tools get embedded into Chrome, does the
concept of using AI eventually disappear entirely?
I agree with that completely. It's just like
Wi -Fi. Soon people won't even think about the
underlying AI. They'll just blindly expect their
digital tools to be smart. Yeah, the technology
just vanishes into the background of how computers
work. Sponsor it. We are witnessing the true
industrialization of AI today. it has rapidly
matured from a simple fascinating novelty into
a foundational utility for our entire modern
society we have models solving legendary 60 year
old math problems with pure elegance we have
agentic systems writing incredibly complex code
completely independently This reality is forcing
the tech industry to radically adapt. They absolutely
must adopt usage -based billing just to survive
the immense compute costs. You simply cannot
offer flat rates for infinite digital electricity.
At the same time, the sheer scale of generation
is overwhelming. It is forcing giant companies
like Google to react defensively. They have to
use advanced AI to police malicious AI. It fundamentally
shifts the ongoing war against Internet scammers.
They are targeting the generated content instead
of targeting the individual people. It is a complete
paradigm shift in modern cybersecurity. Two sec
silence. I want to leave you with the final thought
to mull over. GPT 5 .4 produced a mathematical
proof today. It was so remarkably elegant it
broke a 60 year barrier. It literally made human
mathematical experts weep. We always assumed
machines would conquer us with brute force calculation.
We never expected them to conquer us with pure
elegance. What happens to human intuition and
other deeply specialized fields? Are we slowly
losing our monopoly on elegance? Or is AI simply
pushing us to ask much harder questions? Stay
deeply curious out there. Keep a close eye on
your token usage. And take some time to explore
the tools we discussed today. Until next time.