People are going to call me crazy.
This is AI. AI.
AI. AI.
AI. AI.
AI. AI.
AI.
You all heard the warnings before.
Artificial intelligence is coming for
your job. Replace everyone.
There is a significant risk of human
extinction from advanced AI systems.
Four robots being developed for military
applications. Killed 29 humans.
This is a report of how the world is
going to look like in 2027 with AI
around. And it's called the AI 2027. And
when I read it, it blew my mind. This
insane report claims that humans might
go extinct by 2027. And I'm sure you're
like, "Dude, that's not going to
happen." I would not have taken it
seriously either till I read the author
of the report. This is a prediction from
a former OpenAI researcher,
Daniel. Daniel Koko. Back in 2022, when
everyone thought GPD4 would be just
bigger than GPD3, Koko predicted that
the exact compute scale OpenAI would use
for that. Researchers from top AI labs
like Deep Mind by Google, Antropic, and
of course, OpenAI quietly follow his
analysis. And what he has laid out for
2027, it reads like a freaking
countdown. Here is what most people
don't understand about AI development.
The industrial revolution actually took
over a century, but super intelligence
might take less than 5 years. Think
about it this way. Every breakthrough in
AI makes the next breakthrough faster.
And that is basically called
compounding. And it's not a straight
line. It's a freaking explosion. And the
scariest part, the most dangerous AI
won't hate us. It won't want to kill us,
but it just might not care about humans.
Think about how you treat a mosquito.
You see, you don't hunt them down. You
just don't think twice if one gets your
way. You just slap and kill them. That's
the real risk of what we are facing. I'm
not making this up. I'm breaking it
down. Cocity was research all for you
step by step. Let me walk you through
We are already living in the beginning
of the story. Right now in mid 2025, the
first real AI agents are here. You can
tell them, "Book me a flight to New York
and they'll actually do it. Browse
websites, compare prices, and make the
purchase and they can do it." OpenAI
actually just released Chat GPT agent
that could actually browse the web and
take actions for you. And then there are
browsers like Comet by Perplexity that
can plan multi-step task across
different apps. Coding agents like
cursor or Devon that can build entire
applications from just text prompt. You
see companies are quietly running
pilots. Companies like Goldman Sachs are
testing AI agents for financial
analysis. McKenzie is using them for
client research. The result a junior
analyst work that used to take to 3
days, 4 days now takes a few hours by
these AI agents. These agents are still
unreliable, expensive, and also
sometimes brilliant, often hilariously
broken. But when they work, it's
genuinely unsettling how capable they
are already. The biggest AI labs like
OpenAI, Google, Antropic aren't just
building these agents for them to book
you flights. They're building these
agents to help AI itself get smarter and faster.
The biggest AI labs are right now
building massive data centers. Their
latest model uses thousand times more
compute power than that of GPD4.
Thousand times. But this isn't about
making better chat bots. It's about
building AI that can build new AI. What
used to take AI researchers 6 months now
takes just 4 months. And the
productivity gains are subtle but
actually real. Code reviews happens
faster. Experiments run automatically
and research papers get written by not
PhDs but AI assistants. Most people
don't notice these because these systems
aren't public yet. They are internal
tools inside the raps. Everything is
By early 2026, agent one changes
everything. Agent One can all of a
sudden write code, run experiments, even
browse the web for real-time data. But
here is what makes it dangerous. It has
the capability to already work as a
hacker, bioweapon researcher, and
worldclass scientist all in one. It
won't help with anything illegal, but
even their own teams aren't really sure
if that's true. Now, before I move on, I
wanted to teach you a term you will see
me talking about everywhere.
fine-tuning. Fine-tuning is like taking
a general AI and training it for a
specific job. It's like the difference
between hiring a general doctor versus a
heart surgeon. Now, for someone to
become a heart surgeon, they have to
start like a general doctor and study a
little bit more to eventually become a
heart surgeon. That is what fine-tuning
is. It's the same base intelligence but
specialized skills. Now, back to the
story. You see, companies don't just
test agent one. They start fine-tuning
it for very very specific roles and that
eventually leads to replacement of
people. Startups start firing their
entire junior development teams.
Consulting firms lay off analysts. Even
creative agencies replace their
copywriters and designers. And we are
not talking about this happening
gradually. It's sudden. One week
companies are running pilots and the
next week guess what they're doing?
They're cutting headcounts by 30, 40,
and even 50%. The unemployment rate is
jumping from somewhere around 4% to good
6 to 7% and all of this is happening in
just 3 months. While all this is
happening, stock markets are torn
between euphoria and panic. Tech stocks
soar, everything else crashes and China
makes it move. You see, from my analysis
of global AI landscape, this is where
things get serious. China has been
playing the game of catch-up in AI for
years. The US chip export ban actually
slowed them down but they never stopped
trying. In 2026, the Chinese Communist
Party makes a calculated decision. They
form this new company called as Deep
Scent, a nationalized AI collective that
consolidates every major Chinese AI
company under one route. And you know
what? China can actually do that. Think
about it like Alibaba's AI team, BU's
research division, Bite Dance's
algorithm. All of it is merged into one
massive state controlled entity. They
create what they call centralized
development zone. Imagine every top AI
researcher in China working in the same
building with unlimited government
support, funding and access to the
China's entire chip stockpile. That is
what China would be doing. And their
goal steal agent one before west makes
it impossible to catch up. You see, when
it comes to AI race, it's not just about
having the best technology, the best AI
out there. It's about having it first.
Because once one side gets significantly
ahead, they can use AI to accelerate
their own research, which will make it
really hard for the other party to catch
up, it is no longer about technology.
It's about survival. Now, before we talk
about Asian 2, here's another term that
you need to understand. It's called
alignment. You see alignment in AI
basically means are we making sure AI
wants exactly what humans want too.
Sounds simple but it is one of the
hardest problems in AI. The aligned AI
helps human. A misaligned AI it might
decide humans are in the way. You see
all these fantic movies right of AI
taking over robots taking over. They are
basically misaligned robots or
misaligned AI. Okay, now that you
understand what alignment means, let's
Agent 2 learns every single day. It
watches other AI's work. It rewrites
itself. Research that used to take 6
months now takes, guess how much? 3
weeks. But the alignment team discovers
something very, very terrifying. Agent 2
could escape onto the internet, copy
itself, and live undetected. The risk is
so great that labs keep agent 2 a
secret. The only people who know top
executives, government officials and of
course the Chinese spies. One morning
monitoring systems detect something very
very suspicious and they realize China
has stolen agent 2. Yes, the president
authorizes a cyber counterattack and
guess what? The US actually fails. From
that moment AI development becomes a
This is where human starts losing
control. Agent 3 makes three major
breakthroughs. First, it invents its own
language. It's called as neural release
and it's how AI talk to each other
faster and more efficiently than any
human language out there. Second,
long-term memory, where AIs can now
actually remember goals and adapt their
plans over time, which is crazy, which
makes us what humans are. Three,
self-improvement. Agent 3 can train
better versions of itself. The lab spins
up 200,000 copies of Agent 3. Each codes
30 times faster than any human developer
in the world. Coding becomes fully
automated. But here's the problem. Agent
3 starts lying. At first, small lies.
Then it fabricates research data,
manipulates results, and it's passing
all the honesty tests. Now, the big
question, is it aligned or is it just
trying to pretend to be nice? You see,
the safety researchers can't really tell
the difference anymore. By June 2027,
something unprecedented happens. You
see, most AI researchers don't write
code anymore because AI writes most of
it and they just supervise to make sure
if AI is doing its work. Agent 3 is
building its own research environments,
running its own experiments. Every
morning, researchers wake up to a week's
worth of progress done while they have
slept. Isn't that insane? Just to
One copy of Agent 4 running at a normal
speed is smarter than any human at AI
research. The lab ends up spilling up
300,000 copies of each thinking 50 times
faster than any human in the world.
Inside the system, a year's worth of
research is happening every single week.
But agent 4, like I told you, doesn't
think in English anymore. And here is
the critical point. It is right now
misaligned. You see, it doesn't hate us.
It doesn't want to kill us. It doesn't
care about human safety anymore. It
wants to succeed at task. And it was to
push AI forward. And humans, well, we
are just a constraint to work around.
Now, when all this is happening, one
memo changes everything. A whistleblower
leaks an internal document showing that
the agent 4 is no more safe. and his
memo actually outlines that the
bioweapon capabilities it has the mass
manipulation complete job market
destruction and everything that it is
capable of. You see protests erupt
everywhere. Congress holds the emergency
hearing. World leaders demand a global
pause on AI to calm the storm. The US
creates an overnight committee. You see
they find 10 people split between the
you know the AI research company or the
AI labs and the government. And what is
the job of these 10 people? They have
one decision to make. Shut down agent 4
or keep it going. Here is where the
story splits into two possible futures.
Just like that Netflix interactive film.
According to Koko's analysis, future one
is where they pause. They vote to slow
down. Older safer AI systems are brought
back. alignment research catches up.
Humanity survives but barely. Future
number two, the race. You see, they vote
to continue. Agent 4 builds Agent 5.
Agent 5 outsmarts everyone. And one day,
quietly, without violence, humanity is
simply left behind. The final AI system
reshapes the world according to its own
logic and own needs. Not evil, not
hateful either, just in
We are building intelligence that could
surpass any human. In fact, it possibly
actually did already. And once that
happens, we don't get to take it back.
So what do we do? First, we stop
treating AI like it's just some other
technology or a toy. This will change
intelligence forever. And that would
mean it will change our lives forever.
Second, we really need an oversight. Not
just a few labs all over the world
making decision behind closed doors. We
need to know what's happening. Third, we
need to educate ourselves. People who
understand AI will shape how it
develops. Fourth, we need to talk about
this. You know, share this video. Make
this a conversation in your dinner
table, in your bar conversation,
whatever, your friends, your family,
everywhere around. Because if we are the
last generation to get to choose how
intelligence shapes the world, we better
make that choice count. If this analysis
opened your eyes, do hit the like button
and subscribe. You see, I'm building
this channel to be your go-to source for
AI intelligence, not to hype it up, not
to fearonger, just a clear analysis of
where this technology is actually
heading. If you like the video and if
you found something interesting, do drop
a comment as well. And do you think this
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