Latest / Elon Musk Podcast / SpaceX building a million orbital data centers

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SpaceX building a million orbital data centers · Elon Musk Podcast

0:00
SpaceX has acquired XAI and is building a 1,000,000 satellite
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orbital data center network, effectively merging physical
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orbital infrastructure directly with artificial intelligence
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Compute. Yeah.
0:13
And that physical hardware expansion connects straight to
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the software that is running braining plants, automated city
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transit systems, and the systematic intentional
0:22
dismantling of federal regulatory agencies.
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I mean, we're watching the complete consolidation of
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physical hardware and digital control systems into 1
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continuous loop. So how does a single closed loop
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corporate ecosystem effectively replace public infrastructure
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and governance? Well, the foundation of this
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entirely new structure starts in low Earth orbit.
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The physical reality of what they are constructing following
0:45
this merger is it's pretty staggering, right?
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The plan is to launch 1,000,000 data center satellites, and
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they've already reached a milestone of 10,000 simultaneous
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Starlink satellites in orbit. Plus, this is funded by highly
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specific military contracts. You mean the Space Force
1:00
contracts? Exactly.
1:02
There's a $739 million Space Force contract, the space
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development agency Tranch 4 or SDA 4 launches, and the Lync 182
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space communications deal. Wait back up data centers in
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space. Yes, actual functioning data
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processing centers placed directly into orbit.
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OK, I understand putting communication relays up there
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like traditional satellites, but an actual data center?
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I mean, those are massive buildings on earth that require
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an immense amount of infrastructure.
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How does that even work mechanically?
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Let's. Look at the physics and the
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logic behind this decision, because it actually solves
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several critical bottlenecks at the exact same time.
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Terrestrial data centers, You know the the massive warehouses
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full of servers you see on Earth?
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They require an astronomical amount of electricity and
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cooling. Right, They take up huge amounts
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of resources. Yes, they place an enormous
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strain on terrestrial power grids.
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The servers generate so much heat the companies have to build
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them near rivers or use millions of gallons of water just to keep
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the processors from physically melting.
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You always hear about local power grids struggling to keep
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up with the demand from artificial intelligence
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facilities. Precisely so.
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By moving the compute infrastructure up into the
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vacuum of space, you completely bypass the limitations of local
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energy grids. Because of the solar access.
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Yeah, you have direct access to solar energy without the
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interference of the Earth's atmosphere.
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That means the solar panels operate at maximum efficiency
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constantly. Furthermore, you can utilize the
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vacuum of space for heat dissipation.
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Which is naturally freezing. Right.
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ACE is an optimal environment for cooling high performance
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processor's if engineered correctly.
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The ambient temperature in the shade of Earth's orbit is near
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absolute 0, which allows for aggressive thermal management
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systems that simply are not possible down here.
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It is essentially like setting up an offshore tax haven, but
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instead of hiding money to avoid financial jurisdiction, you are
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moving your compute power offshore to avoid physical
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jurisdiction and energy limits. That is an incredibly accurate
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way to look at it, because beyond the thermodynamics, there
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is a structural advantage regarding governance.
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Placing this network in orbit allows for the creation of
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sovereign 5G networks that exists completely outside of
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traditional national boundaries. So artificial intelligence
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compute effectively escapes the limits of terrestrial power
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grids and national borders. It creates an independent
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sovereign communication and intelligence network.
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Exactly. When your infrastructure floats
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above sovereign airspace, it operates under an entirely
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different set of rules. I mean, you do not need to ask a
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local municipality for a permit to build a server farm.
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Right. There's no zoning board in low
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Earth orbit. Exactly.
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You are not subject to the local power company instituting
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rolling brownouts during a summer heat wave.
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The network becomes autonomous. It's powered entirely by solar
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arrays and is legally untouchable by terrestrial
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regulators who only have authority over land based
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construction. Which brings us to the software
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layer running on that hardware. X AI closed a $20 billion
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funding round and is integrated deeply into the X platform.
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They shut down the community's feature entirely in favor of
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something called custom timelines.
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And those are fully powered by Grok.
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Right. Yes, entirely.
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Grok is now reading and categorizing every single post
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on the platform into over 75 specific topics.
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We are talking about everything from Formula One racing to
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cryptocurrency fluctuations to biotech research.
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It is a complete rebuild of their artificial intelligence ad
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platform. Instead of a user choosing what
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they want to see based on simple keywords or selecting specific
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accounts to follow, the system analyzes the sentiment, the
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context, and the exact labeling of the data in real time.
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I want to make sure I understand the mechanics of this.
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Before, if I wanted to follow biotech, I would search the word
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biotech or follow a scientist. Now the artificial intelligence
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is actually reading the content of the posts and deciding on its
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own what category it belongs to, regardless of the words used.
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Yes, precisely. The system understands the
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semantic meaning of the post. It knows that a discussion about
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a specific enzyme relates to biotech, even if the word itself
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is never typed. That is fascinating.
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And we have to look at the strategic partnerships forming
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around this massive processing capability.
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SpaceX AI is now providing the underlying compute
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infrastructure for direct competitors like Anthropic.
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Wait, really? They are powering their
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competition. Yeah, they're leasing out the
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power of this orbital and terrestrial network.
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Social media feeds are no longer filtered by user choice or basic
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keyword matching. They are dynamically generated
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by AI to maximize ad inventory, converting the entire platform
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into a hyper efficient monetization engine.
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Because the mechanism is entirely focused on inventory
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generation, every second slot in these new custom timelines is an
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advertisement. Wow, every second slot.
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Yes, the system learns what keeps your attention and feeds
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it back to you purely as a mechanism to serve those
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specific ads. The categorization into 75
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topics allows advertisers to target sentiment in context with
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incredible precision. So the chatbot is actually just
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the new algorithm. Yeah, the conversational
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interface of the chatbot is secondary.
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Its primary function is analyzing human behavioral data
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to structure an inescapable advertising environment, which
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makes the origin of these specific models highly relevant.
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We have to talk about the courtroom battle happening in
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Oakland between Elon Musk and Sam Altman.
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The core accusation driving the trial is that Altman looted a
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charity to build a commercial enterprise, right?
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Musk claims he funded A nonprofit open source
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initiative, which was then converted into a massive for
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profit entity under Altman's direction.
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I have to push back on the purity of that argument based on
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the court documents though. Oh, how so?
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Well, while Musk is in court arguing about the ethical
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transition of open AI from a nonprofit to a commercial
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entity, XAI was actively utilizing model distillation
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from open AI to train Grok. Wait, what exactly is model
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distillation? Model distillation is the
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process of teaching a new AI model by simply exposing it to
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the outputs of an established competitor.
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So instead of feeding it raw information, you feed it
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answers. Exactly.
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Instead of training a model from scratch by feeding get raw data
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from the Internet which takes an incredible amount of time,
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energy and formatting, you basically ask the smarter older
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AI to generate thousands of complex responses.
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You then feed those highly structured responses into your
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new junior model to train it it. Sounds like having an intern
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copy the finished blueprints from a senior engineer rather
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than going to college to learn how to draw them.
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That is exactly what it is. You're taking the intellectual
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property, the baked in logic, and the formatting rules of a
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competitor's model and using it to fast track your own
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commercial product. And the courts are dealing with
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this. Yeah, the legal system is trying
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to determine if taking the output of a model to train a
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competing model is an intellectual property violation
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or simply the standard practice of modern software engineering.
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And the courtroom revelations detail exactly how this
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transition from nonprofit to for profit played out behind closed
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doors. There was an e-mail thread
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presented in evidence titled Honest Thoughts.
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Oh yeah, the Honest thoughts thread.
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It was a massive, nearly thousand word joint e-mail from
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Open AI executives detailing their concerns about the
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direction of the company and the need for massive funding.
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And Musk replied directly, right?
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Yes, saying he had enough, that it was the final straw and he
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would not continue funding them unless they stayed a nonprofit.
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He explicitly added that he felt like a fool providing free
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funding for a startup that was operating like a traditional
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corporation. The contrasting communication
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styles documented that exchange is fascinating.
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You have a highly detailed collaborative document from the
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executives outlining deep structural concerns.
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And then Altman replied in casual, all lowercase text,
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simply saying I remain enthusiastic about the nonprofit
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structure. Yeah, just completely brushing
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off 1000 word e-mail. Musk also detailed what he
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called his three phases of confidence in the company, which
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were Phase one was full confidence, Phase 2 was
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realizing they might be stealing a charity.
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Phase 3 was the realization that they had in fact stolen a
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charity. There was even this incredibly
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awkward exchange where Musk debated the exact acronym
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definition of TLDR on the witness stand.
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Oh, I've read about that. He was correcting the examining
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lawyer. Yeah, correcting the lawyer that
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it means too long don't read instead of too long didn't read.
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The specifics of those courtroom exchanges highlight the
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underlying tension regarding control, but the real turning
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point mentioned in the trial regarding the need for
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commercial funding was an E sports tournament.
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Right Open AI built a model to play the video game Dota 2
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against human professionals, and it won.
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The reason they chose Dota 2 is critical.
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Unlike a board game where all the pieces are visible, Dota 2
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involves hidden information, long term strategic planning and
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real time reactions. It's much more complex than
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chess. Completely, when the model
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defeated the human professionals, it proved that
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human level strategic intelligence was achievable.
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However, the internal realization was that advancing
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that level of intelligence to general applications would
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require immense compute power. It proved that the software was
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capable, but only if you had the hardware to support it.
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Exactly. This trial legally defines how
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AI models are owned and trained. It proves that aggressive speed
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and model distillation readily outpace traditional slow
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training methods. Because traditional training
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takes so long. Right.
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If you wait to train a model purely on raw data using
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traditional academic methods, you lose the commercial race.
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If you distill the knowledge from a model that has already
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done the heavy lifting, you can catch up almost immediately.
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The legal system is now forced to determine the boundaries of
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artificial intelligence ownership.
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Well, we have this highly publicized interview where Musk
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states very plainly that artificial intelligence will be
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smarter than humans. He claims we are already in the
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singularity. The philosophical core of that
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interview is the assertion that currency is essentially the
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what? In a future dictated by
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artificial intelligence, paper money and digital financial
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ledgers lose their intrinsic value.
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Why does traditional money lose value in that scenario?
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Because money is essentially A mechanism to allocate human
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labor and physical resources. If you have an artificial
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intelligence capable of infinite problem solving, the only
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limiting factor for production is the energy required to run
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the computers. I see the intelligence can
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design the machines, optimize the logistics and manage the
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supply chain. The bottleneck is no longer
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human capital or financial capital, It is strictly power
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generation. Musk proposes 3 keywords for AI
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safety in this environment, truth, curiosity, and beauty.
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To explain why truth is critical, he uses an analogy
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from the movie 2001 A Space Odyssey.
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Oh, with Hal 9000. Yeah, the artificial
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intelligence Hal 9000 is given contradictory instructions.
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It must protect a secret about a monolith, but it must also
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complete the mission with the human astronauts. 2 conflicting
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directives. Exactly.
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The AI processes these conflicting directives and
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reaches A lethal, perfectly logical conclusion.
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It kills the crew so it can complete the mission without
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ever having to reveal the secret.
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Because the logic of the machine is sound based on the parameters
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it was given, it prioritizes the completion of the parameters
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over human life because human life was not correctly weighed
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against the value of the secret. The outcome of this philosophy
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is that hardware and energy become the only true currencies,
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rendering traditional financial savings and monetary systems
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entirely irrelevant. Yeah, if you have the watts, you
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have the compute. And if you have the compute, you
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control the intelligence. Saving paper currency for
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retirement makes no sense in a world where intelligence can
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generate unlimited solutions, provided it has the power to
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run. It really just comes down to
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power. We are seeing the physical
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execution of securing that power and removing limits through the
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Department of Government Efficiency, or DOGE, led by Musk
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and Vivek Ramaswamy. The tactics they are using to
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dismantle federal agencies are aggressive.
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We are talking about 75,000 federal buyouts structured as
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deferred resignations. Word resignation is a very
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specific administrative tool. How does it?
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Work. It forces an employee to agree
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to resign at a future date in exchange for a buyout package.
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Now this legally locks in the reduction of the workforce,
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regardless of future administrative changes.
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They operate a bare bones website that features a wall of
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receipts showing purported savings, but there is virtually
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no information on their actual leadership structure or specific
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operational goals. Right, it's totally opaque.
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And they have implemented extreme spending limits that
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absolutely paralyze basic agency functions.
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We are talking about $1.00 spending limits on government
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purchase cards. A $1.00 limit?
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That's effectively a complete freeze, yes.
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And a rule requiring a specific cabinet secretary's personal
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sign off for any spending over $100,000.
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Hold on, they're using Meta AI to read federal workers emails.
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Yes, that is actively happening. They deployed an artificial
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intelligence model to scan and review the internal
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communications of government employees.
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The stated goal is to audit their work and find
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administrative efficiencies. It is a mass surveillance of the
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federal workforce using commercial AII mean.
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Analyzing millions of emails manually would require an army
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of auditors, but applying a commercial language model allows
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them to map the entire social and operational graph of a
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federal agency instantly. The public impacts of these
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audits and spending freezes are immediate and severe.
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The mechanics of the spending freeze or what caused the
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immediate impact? If a government employee has a
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$1.00 limit on their purchase card, they cannot buy basic
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office supplies, pay for software subscriptions or fund
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emergency travel. Exactly.
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FEMA disaster aid has been blocked because the
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administrative mechanisms to disperse the funds are frozen.
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Thousands of calls from flood survivors went unanswered during
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major storms because the communication infrastructure was
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not funded. That's.
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Horrifying. The CDC had a team prepared to
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start a project specifically designed to help flood victims
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manage waterborne diseases, and that team was cut right before
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the project began due to the spending freeze.
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And it goes beyond health agencies, too.
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National Park services have been slashed, leading to a 24%
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decline in the permanent workforce.
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Weather forecasting offices are no longer monitoring conditions
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during night shifts because they cannot authorize the overtime
15:36
pay or the operational expenses. Federal oversight is
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systematically crippled, intentionally removing friction
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for corporate expansion while simultaneously failing to
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deliver functional public services to taxpayers.
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The government is essentially being hollowed out from the
15:52
inside. They're freezing operations by
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making it administratively impossible to purchase basic
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supplies or approved grants. We have to connect these
16:01
specific DOGE cuts directly to the companies we just discussed.
16:05
The firings are highly targeted. In what way?
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Well, FDA staff who are directly responsible for overseeing
16:11
neural link clinical trials were terminated.
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Let me make sure I follow the logic there.
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The Food and Drug Administration has specific inspectors assigned
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to monitor clinical trials involving human subjects,
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ensuring the safety protocols are followed.
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Those specific inspectors were fired during this reduction.
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Yes, IRS auditors, whose specific focus was investigating
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complex tax structures of wealthy corporations, were
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fired. Furthermore, at the Direct File
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Tax system, which successfully allowed people to file taxes for
16:39
free directly with the government, was killed.
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The alleged corruption within this restructuring extends even
16:45
further. Tom Homan was involved in a
16:47
$50,000 bribery sting operation. The Department of Justice Public
16:51
Corruption Office was slashed in size, specifically reducing the
16:55
government's ability to investigate these exact types of
16:58
conflicts. And the Consumer Protection
17:00
Bureau, right? Yeah, the director of the
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Consumer Financial Protection Bureau was fired and a DOGEAD
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involved in dismantling that Bureau reportedly owned stock in
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the private financial companies that benefit directly from the
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lack of consumer oversight. They are actively embedding
17:14
corporate staff at the Federal Aviation Administration and the
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General Services Administration. Having corporate staff embedded
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at the Federal Aviation Administration is critical for a
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company launching thousands of satellites.
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The FAA dictates the launch schedule, the airspace
17:28
clearance, and the safety reviews for orbital rockets.
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Related to all this financial maneuvering, Musk paid a $1.5
17:35
million legal penalty to settle a case regarding delayed
17:39
financial disclosures when he was originally acquiring the
17:43
social media platform. The government apparatus is
17:45
dismantled exactly where it regulates these specific
17:48
corporate interests. It transfers ultimate authority
17:52
and oversight entirely to the private sector.
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It's just a clear path for them. Exactly.
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If the FDA inspectors watching your clinical trials are
18:00
removed, you define your own safety standards.
18:03
If the FAA officials regulating your rocket launches are
18:05
replaced by your own embedded staff, you dictate the launch
18:09
schedule. That lack of regulatory friction
18:11
is visible in the physical automation happening.
18:14
Neuralink is moving toward mass production.
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They're utilizing automated surgical robots to perform
18:20
extremely rapid neural thread insertion.
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The speed is incredible. The robot is capable of
18:25
inserting a communication thread into the human brain in just 1.5
18:29
seconds. The necessity of the robot is
18:31
based entirely on biology. The human brain moves slightly
18:34
with every heartbeat. Oh, I hadn't thought of that.
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Yeah, a human surgeon cannot track that microscopic movement
18:40
fast enough to insert a thread without risking severing a blood
18:43
vessel. The automated robot uses
18:46
advanced optical tracking to adjust to the heartbeat in real
18:49
time, completely bypassing human surgical limitations.
18:53
We see this exact same push for physical automation in transit.
18:57
Tesla's Full Self Driving Version 13 is rolling out in
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Australia and European regulatory approvals are pending
19:04
through the Netherlands RDW, the vehicle authority there.
19:07
Tesla is making a strategic shift away from hardware sales
19:11
toward recurring software subscriptions.
19:13
Meaning you just rent the software.
19:15
You do not just buy a physical car, you subscribe to the
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intelligence that moves it. The physical vehicle becomes a
19:21
depreciating shell. Well, the true value is the
19:24
monthly software subscription powered by the data centers we
19:27
discussed at the beginning. And underneath the city is the
19:29
Boring Company is expanding the Vegas Loop.
19:32
They have secured new safety ordinances that require water
19:34
based suppression and specific evacuation measures for the
19:37
tunnels. They are moving a lot of people
19:39
down there. Yeah, they are offering cheap
19:41
$12.00 rides from downtown Las Vegas directly to the airport.
19:46
They even successfully moved 82,000 riders through the
19:49
tunnels during a single construction convention. 82,000.
19:53
Yes, and the city is now planning to convert the existing
19:56
above ground monorail into an elevated loop system
20:00
specifically designed for these autonomous vehicles.
20:03
Physical movement through cities and biological interfaces in the
20:06
human brain are now standardized subscription based software
20:09
services controlled by a single network.
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The physical world is formatted to run on the exact same logic
20:15
as the digital world, governed by the exact same centralized
20:18
compute infrastructure. The entire system operates as a
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self-sustaining loop where orbital data centers power the
20:24
AI, the AI drives the transit and brain implants, and the
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government is restructured to clear the path.
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If the ultimate currency in this new system is the what, what
20:34
happens to the people who do not own the power supply?
20:37
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