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Jeff Hudson
@ConsciousJeff
Sharing honest thoughts and honest opinions with anyone interested enough to follow or stumble upon my account
Hazel Green, AL
Joined June 2008
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@SomewhereSkies Here is the link to the pdf version of the file David Grusch referenced.
https://t.co/timpZTv8Vl
Thank you
Here is the Australian UFO document David Grusch referenced during today’s Capitol press conference. 💪
Is It Too Late to Buy Amazon? $AMZN
@icedcoffeehour
Who to follow
Well, get to it already.
Demis Hassabis won a Nobel Prize for AlphaFold.
Then he stood in front of Stanford and called it insufficient.
Hassabis: “There should be 20 AlphaFolds.”
That is not a target. That is a survival requirement.
AlphaFold cracked a problem biology chased for fifty years.
It is the single trophy a trillion dollar industry holds up when asked what AI has actually done for humanity.
One. And the man who built it just said the case is still open.
One breakthrough surrounded by a thousand chatbot wrappers does not build a mandate. It builds suspicion.
Then he went further.
Hassabis: “We’ve got to stop talking in the hypothetical about curing cancer and actually cure cancer.”
That sentence sounds like ambition. It is a confession.
The AI industry runs on credit. Not compute credits. Belief credits.
The public lends trust on the assumption the promises will cash out.
Chatbots. Copilots. Autocomplete with better marketing.
That is what $700 billion looks like to the average person.
“Could” is a loan. The ones that never convert don’t just delay trust. They erode it.
The decay is not linear. It is exponential.
This is the most dangerous place a technology can sit. Functional enough to be profitable. Not consequential enough to be believed.
Stay there too long and you build a machine that finally works. With no one left who believes it.
But Hassabis is pointing at something heavier.
For all of human history, dying of disease was an act of nature. Fate. The price of being alive.
We built entire religions to carry the weight of it.
The hypothetical era was morally comfortable. As long as the cure was theoretical, every death was innocent. Nobody’s fault.
Hassabis just announced the end of that innocence.
Because the moment a cure becomes buildable, every year it doesn’t exist becomes a decision.
Cancer stops being destiny. It becomes delay.
Fate becomes latency.
Maybe our suffering was never divine necessity. Maybe it was a compute deficit.
And a deficit is not a tragedy. It is a bill.
The people who die in the gap between possible and built are not killed by biology. They are killed by the gap.
By hesitation. By capital chasing chatbots instead of cures.
That is what should keep this industry awake. Not the machine becoming too powerful.
The machine arriving late.
We used to ask the sky why people die.
Soon the only ones left to ask will be each other.
Demis Hassabis won a Nobel Prize for AlphaFold.
Then he stood in front of Stanford and called it insufficient.
Hassabis: “There should be 20 AlphaFolds.”
That is not a target. That is a survival requirement.
AlphaFold cracked a problem biology chased for fifty years.
It is the single trophy a trillion dollar industry holds up when asked what AI has actually done for humanity.
One. And the man who built it just said the case is still open.
One breakthrough surrounded by a thousand chatbot wrappers does not build a mandate. It builds suspicion.
Then he went further.
Hassabis: “We’ve got to stop talking in the hypothetical about curing cancer and actually cure cancer.”
That sentence sounds like ambition. It is a confession.
The AI industry runs on credit. Not compute credits. Belief credits.
The public lends trust on the assumption the promises will cash out.
Chatbots. Copilots. Autocomplete with better marketing.
That is what $700 billion looks like to the average person.
“Could” is a loan. The ones that never convert don’t just delay trust. They erode it.
The decay is not linear. It is exponential.
This is the most dangerous place a technology can sit. Functional enough to be profitable. Not consequential enough to be believed.
Stay there too long and you build a machine that finally works. With no one left who believes it.
But Hassabis is pointing at something heavier.
For all of human history, dying of disease was an act of nature. Fate. The price of being alive.
We built entire religions to carry the weight of it.
The hypothetical era was morally comfortable. As long as the cure was theoretical, every death was innocent. Nobody’s fault.
Hassabis just announced the end of that innocence.
Because the moment a cure becomes buildable, every year it doesn’t exist becomes a decision.
Cancer stops being destiny. It becomes delay.
Fate becomes latency.
Maybe our suffering was never divine necessity. Maybe it was a compute deficit.
And a deficit is not a tragedy. It is a bill.
The people who die in the gap between possible and built are not killed by biology. They are killed by the gap.
By hesitation. By capital chasing chatbots instead of cures.
That is what should keep this industry awake. Not the machine becoming too powerful.
The machine arriving late.
We used to ask the sky why people die.
Soon the only ones left to ask will be each other.
Jeremy Corbell threatens to release hundreds of UFO files if the next batch of government files don’t address reverse engineering and biologics
“If they don't come out with the next drop having to do with reverse engineering, non-human intelligence craft, and if they don't address or begin to address biologics, then they saw in Sleeping Dog the file systems.
That's not just in my hands anymore, that's not just in George Knapp’s. They have promised transparency on what they know on UAP.
David Grusch went up in front of Congress with his hand to the country, to the globe, and to whatever he believes in and he told the truth. And he told you not just UFOs a, that we have been reverse engineering them, that we've been trying to for decades and that there were pilots, biologics, he said, non-human intelligent beings.
Now, if that's true, and if you believe him, our government in parts has that information.
It is time to tell the American public the truth.”
In a newly released technical update, SpaceX's leadership team, which includes communications manager Dan Huot, Director of Satellite Engineering Ian Dahl, and CEO Elon Musk, detailed a highly ambitious infrastructure roadmap to design, manufacture, and operate specialized artificial intelligence computing satellites at scale.
Positioned as a major strategic pillar to dramatically elevate civilizational energy and processing capacity on the Kardashev scale, this strategy moves past traditional communications architectures into massive orbital server arrays.
Here is the complete breakdown of the core technologies and timelines driving this space-based intelligence revolution:
🛰️ AI1 satellite power and compute capacity
Ian Dahl and Elon Musk introduced the baseline performance targets for the first-generation AI1 satellite, explaining how its custom hardware is engineered to operate like an orbital data center server rack. Ian Dahl noted that their direct operational experience with xAI guided them to target a 150-kilowatt peak power capacity. To manage active machine learning workloads continuously, Elon Musk explained that the satellite is optimized to maintain a sustained average compute power envelope of 120 kilowatts, which directly mirrors the real-world performance of a terrestrial NVIDIA server rack.
The official presentation slides outline several key operational metrics for this payload configuration:
⚡ The custom architecture delivers a 150 kW peak compute payload.
🔋 The system maintains a 120 kW sustained average compute payload under active workloads.
⚖️ The hardware achieves a highly optimized power-to-weight density of 70 kW per ton.
🔄 The layout features a completely interchangeable compute provider design.
"We thought that the right place to start is around the 150 kilowatt peak power level. But as we look at the workloads with our experience with xAI, we see that we can support about 120 kilowatts of average compute. The 150 kilowatt peak power level roughly matches what, say, an NVIDIA GV300 rack would do. A more reasonable operating envelope would be around 120 kilowatts average power, but it can peak up to 150. So it is basically thinking about it as a rack of compute in space."
---
📐 AI1 satellite dimensions and thermal efficiency specs
Elon Musk detailed the physical layout of the AI1 satellite, highlighting the massive dimensions required to accommodate its immense power and cooling hardware. He shared specific design criteria, explaining that the engineering relies on a custom 150 kW solar array paired with a high-capacity deployable liquid radiator thermal management system.
The technical specifications of this vehicle layout include:
📏 The structural frame features a massive 70-meter wingspan.
↕️ The vehicle spans a total deployed height of 20 meters.
☀️ The onboard solar array delivers an efficiency of 250 W/m² using technology manufactured in Bastrop, Texas.
🌡️ The thermal system utilizes a 110 m² deployable liquid radiator to cleanly dump waste heat.
🔄 The cooling architecture incorporates redundant pumping loops for mission safety.
🛡️ The exterior contains integrated micrometeoroid shielding to protect the fluid lines.
🧭 The double-sided radiators achieve a dissipation rate of 1400 watts per square meter while remaining oriented knife-edge to the sun.
"The assumptions here are 250 watts per square meter for the solar array and about 1400 watts per square meter for the radiators. The radiators are double-sided, radiating on both sides, and they're oriented knife-edge to the sun. They have about a 70-meter wingspan, so these are fairly large."
---
🧩 Simplified design architecture built on Starlink V3 tech
Elon Musk explained that despite the satellite's imposing size, its internal architecture is fundamentally much simpler than a standard Starlink satellite.
Because it lacks heavy phased array and parabolic communications antennas, the entire vehicle layout is completely streamlined around a few essential structural modules:
🎛️ The hardware framework is arranged around a centralized compute module.
☀️ Large deployable solar arrays extend outward to capture orbital energy.
🌡️ A deployable liquid-radiator thermal management system controls active operational temperatures.
🔄 The engineering team heavily leverages the component evolution and manufacturing experience gained from developing the Starlink V3 vehicle platform.
"The AI satellite is actually much simpler than a Starlink satellite. A Starlink satellite has gigantic phased array antennas, parabolic antennas, and a lot of laser links, making it much more complicated. An AI satellite is essentially a lot of solar cells, a radiator, and you still need some laser links, but you don't have all of the super complex antennas that you have on a Starlink satellite. A lot of this is technology we've already made for the Starlink V3 satellites."
---
🔌 Interchangeable compute reference designs and high connectivity
Elon Musk outlined a modular hardware approach for the satellite's payload, allowing it to house a variety of industry-standard processing units depending on client requirements. This interchangeable compute rack is supported by a high-bandwidth connectivity loop that links separate orbital units together or transmits data directly back to Earth.
The core network parameters include:
🧠 Reference designs are fully established to seamlessly accommodate NVIDIA Reuben chips.
💾 The system architecture is built to support alternative setups using NVIDIA GB300 chips.
💻 Custom hardware layouts are explicitly designed to integrate Google TPUs.
🌐 The onboard communications setup delivers roughly 1 terabit of laser link connectivity.
⏱️ The network closes the communication loop directly with the main Starlink constellation at an ultra-low latency of only 3 milliseconds.
"Our current reference design is for NVIDIA Reuben chips, or it could be either GB300 or Reuben chips. We'll also have a reference design for TPUs. Essentially, you can put up any existing chips into orbit. There would also be probably something on the order of a terabit of laser link connectivity from the satellite. Then you can connect these racks of compute to each other by the laser links or directly to the Starlink constellations. Light travels 300 kilometers per millisecond, so that's about three milliseconds away."
---
🏭 The "gigasat" AI satellite and solar production hub in Bastrop, Texas
Dan Huot highlighted that the primary production hub for this entire hardware ecosystem is anchored at their sprawling complex in Bastrop, Texas, officially designated as the Gigasat factory. Elon Musk verified that construction is already actively underway on the solar manufacturing facility to feed the project's supply line, with plans moving forward to construct the adjacent AI satellite assembly lines.
The physical footprint and timeline of this manufacturing hub are defined by the following benchmarks:
🗺️ The company has over 1,000 acres of land currently owned or under contract for the site.
🏢 The manufacturing complex boasts a massive structural building potential exceeding 11 million square feet.
⚙️ The facility will vertically integrate production to manufacture solar ingots, wafers, solar cells, and completed AI satellites.
📅 Both the solar and AI satellite production lines are targeted to be operational at a viable volume by the end of next year.
"We're going to be building a lot of satellites and we're going to be building them here in Bastrop. We already have the solar manufacturing facility under construction, and then we will be building out the AI sat production building soon. We expect to have the AI sat production, the solar production, and all of that operating at some reasonable volume by the end of next year."
---
🏢 The 100-million-square-foot "terafab" chip factory
Elon Musk revealed a massive, long-term scaling strategy to build an immense chip manufacturing facility dubbed the "terafab" to completely bypass global semiconductor volume constraints. This manufacturing infrastructure is designed to transition the company into next-generation industrial scaling by producing highly specialized computing components at an unprecedented volume.
The scale of this infrastructure project is defined by several extraordinary engineering and production benchmarks:
🏭 The colossal factory is projected to span approximately 100 million square feet, making it ten times larger than the current Tesla Gigafactory Texas.
⚡ The facility is structurally engineered to achieve a massive manufacturing output of 1 terawatt per year once fully operational.
📦 This unprecedented physical footprint provides the capacity required to manufacture 1 billion full-reticle equivalent chips annually.
🔌 Each individual chip manufactured by the facility is designed to run at a power capacity of 1 kilowatt.
🇺🇸 The total scaled output of the facility represents an energy footprint that is exactly double the current annual electricity consumption of the entire United States.
"In order to get to the next order of magnitude, you need a gigantic chip factory. To give you a sense of scale here, we expect that the terafab is going to be around 100 million square feet, which is 10 times the size of the Tesla Gigafactory Texas. From a logic die standpoint, that's like having a billion chips per year with a kilowatt per reticle, scaling to a terawatt per year. That is twice the current electricity consumption of the United States."
---
📶 Next-generation high-volume Starlink terminals
Dan Huot and Elon Musk introduced their next-generation Starlink user terminals, which have been redesigned specifically to achieve massive manufacturing throughput.
Elon Musk pointed out that these newer models will be produced in vastly higher volumes than current hardware designs to fulfill their long-term global deployment targets:
📈 The upgraded user hardware is manufactured at a much higher volume capacity than existing units.
🌍 The company's ultimate target is to successfully deploy a few hundred million of these next-generation terminals worldwide.
"In fact, these are the new Starlink terminals, which we made in much higher volume than the current terminals. Ultimately, we think there's probably going to be a few hundred million Starlink terminals out there."
---
📈 Aspirational timeline for orbital AI compute scaling
Elon Musk laid out an ambitious, multi-year execution timeline detailing how the company plans to progressively scale space-based processing power.
The roadmap targets an initial run-rate by the end of next year and sets an aggressive pace to increase total operational capacity sequentially through a structured, multi-phase timeline:
1️⃣ The initial target aims to hit an annualized run-rate of 1 gigawatt of space AI compute by the end of next year.
2️⃣ The capacity scales to an annualized rate of 10 gigawatts within the next two and a half years.
3️⃣ The operational envelope expands to reach 100 gigawatts in three and a half years.
4️⃣ The long-term deployment plan scales directly to a full terawatt capacity per year using the output of the terafab.
"The goal is to get to roughly an annualized rate of a gigawatt per year by the end of next year in terms of space AI compute. Then aspirationally, we want to scale that by an order of magnitude per year. In two and a half years, hitting an annualized rate of 10 gigawatts a year in space, and in three and a half years, maybe a hundred gigawatts, going beyond that with the terafab to scale to a terawatt per year."
---
🌕 Ultimate scaling via lunar production and mass drivers
Elon Musk explained that scaling three orders of magnitude past a single terawatt forces a transition completely off-planet to avoid the logistical penalty of Earth's deep gravity well.
The vision relies on establishing manufacturing infrastructure directly on the moon to leverage localized resource loops and zero-atmosphere physics:
🌙 The company plans to establish localized raw production lines on the moon to fabricate solar panels, photovoltaics, and radiators from lunar materials.
⚡ Manufacturing components locally avoids the massive fuel and mass penalties of transporting heavy structural materials from Earth.
🧲 Because the moon has no atmosphere and only one-sixth of Earth's gravity, the facility will utilize an electromagnetic mass driver to launch completed satellites.
🚀 Operating essentially as a linear electric motor rail gun, this mechanism will shoot fully assembled AI satellites straight into deep space without relying on chemical rockets.
"The only way that we can really see that you can achieve that is on the moon with a mass driver, essentially where you do local production of photovoltaics, solar panels, and radiators on the moon. Because the moon has no atmosphere and only one-sixth Earth's gravity, you can accelerate the AI satellites into deep space without a rocket. You can basically shoot them into space using an electromagnetic gun, like a rail gun type—it's basically a linear electric motor."
Elon Musk just identified the real bottleneck to artificial intelligence on Dwarkesh Patel’s podcast.
He didn’t use political science.
He used physics.
Impedance matching.
In electrical engineering, impedance matching means a component adjusts its own resistance to mirror whatever system it’s plugged into. It becomes the thing it’s connected to.
Musk: “They impedance match to the government, to the Public Utility Commission. Literally and figuratively.”
The companies responsible for powering every data center, every GPU cluster, every training run on Earth didn’t just slow down.
They absorbed the exact operational frequency of the federal bureaucracy.
They became it.
Musk: “They have to do a study for a year. A year later, they’ll come back to you with their interconnect study.”
Twelve months. Not to build anything. Not to deliver a single watt. To study whether you’re allowed to plug into the grid.
In technology, one year is an evolutionary epoch. NVIDIA ships a new architecture. OpenAI leaps an entire generation. DeepMind publishes frontier breakthroughs quarterly.
Inside government, one year is a single administrative pulse.
And the friction isn’t accidental. It’s structural.
The utility matches the regulator. The regulator matches the legislature. The legislature matches the election cycle. Each one calibrated to the metabolic rate of the next.
A feedback loop of institutional inertia with no exit ramp.
Every AI lab. Every hyperscaler. Every nation racing toward superintelligence. Same invisible ceiling.
A permitting desk.
The ultimate bottleneck is not compute. Not data. Not talent.
It is the regulatory capture of electricity itself.
And nobody with the authority to fix it has any incentive to move faster.
The system wasn’t designed to produce outcomes.
It was designed to produce process.
A year-long interconnect study isn’t a safety measure.
It’s a tax on momentum.
The race to AGI will not be decided by who builds the best model.
It will be decided by who builds the best grid.
You cannot impedance match the future to the past.
Eventually, the circuit burns out.
My husband Abraham was diagnosed with a very rare sacral chordoma. The surgery to remove bone and surrounding tissue lasted almost seven hours and was successful. He had a rough night and is in a lot of pain but is finally home resting. Now recovery begins. We’re so grateful for the outpouring of prayers and kind messages from all of you. Our hearts are full. ❤️
@herbertong @SpaceX This is so exciting. It's hard to put into words. I hope I'm allocated some shares to purchase at IPO but even if not I still plan to purchase some on the open market.
Tesla’s FSD Streaks Are Gamifying FSD and Encouraging Risky Behavior [Opinion] https://t.co/h3DfUeB5Ah via @NotATeslaApp
This article is worth reading by everyone in the Tesla community Supervising FSD on their daily drives. I wish Tesla would provide just a few examples of that the "Other" FSD intervention should include. I've been selecting "Other" when I manually intervene to avoid a pothole. Now I wonder if I should be selecting "Critical" in order to give the algorithm more accurate information to learn and train on.
Rock on! The fact that all these guys toured for years, didn’t die and are having great careers now is so joyous.
🌟Rock Stars Who Left Music for Surprising Careers
WOW!
I was gifted VHS of every CBS Evening News TV broadcast from 1978-1999!
I am curating and training AI on realtime contemporaneous insights from this era.
My supercut from 1979 is fascinating.
This m history connects to our 2026 moment.
Same issues—different people.
NEWS ALERT from @FBIDetroit: Two researchers with the National Institutes of Health were charged with conspiracy to smuggle monkeypox into the United States and giving false statements to federal law enforcement.
A federal complaint alleges that the researchers told Customs and Border Protection (CBP) their case contained diagnostic and testing equipment. However, a investigation by CBP and #FBI agents uncovered 113 vials, 18 of which have been verified to contain monkeypox as of today’s date.
This investigation was conducted by the FBI Detroit Joint Terrorism Task Force, along with assistance from the @FBIBillings' Missoula Resident Agency, the U.S. Customs and Border Protection team at Detroit Metro Airport, and the U.S. Department of Health and Human Services – OIG.
Read more: https://t.co/FIiQCp4vm0
I still remember the Trailways commercial tagline;
"Go Greyhound and Leave the Driving to Us"
America For Me, 1953.
A wonderful well madefilm that is actually a commercial for Greyhound.
A story of adventure and discovery.
It is a classic.
This exchange was worth reading.
@ThierryBorgeat Your missive implies that S&P never changes their rules. @grok kindly disavow this person of their naivete regarding Standard and Poor's frequency of rule changes. Provide an example of a rule change similar in magnitude to the one he complains about.
The evolution…
(🎥 via IG: vgraphsinsta)
AC/DC is powering the retirement home!
Rock and Roll 🤘
Every living thing that ever existed shared one weakness.
It only had one planet.
Four billion years of evolution. Every thought ever formed. Every civilization ever built. All of it running on a single machine with no copy anywhere in the universe.
Not because life chose that. Because nothing existed that could change it.
Elon Musk: “The degree to which Starship is a revolutionary technology is not well understood in the world.”
He’s not talking about a rocket. He’s talking about the first object ever built that makes life portable.
Musk: “It is the first time that there’s been any rocket design where full and rapid reusability is possible.”
Every rocket before this was disposable. Billions of dollars of engineering sunk into the ocean after a single use. Because the entire aerospace industry agreed for 60 years that was just how it worked.
Musk didn’t agree.
Reusability isn’t a cost improvement. It’s the line between tourism and civilization. You don’t build a second home for your species with hardware you throw away after one trip.
Musk: “Life becoming multiplanetary, it’s in the top 10.”
Not top 10 of the decade. Not the century. Top 10 moments in the entire 4 billion year evolution of life on Earth.
That sounds unhinged until you sit with what single-planet actually means.
Every species that ever existed played the same game on the same board with the same rules. One planet. One copy. Whatever happens here happens to everything that ever lived and everything that ever will.
Starship is the first machine that rewrites those rules.
Not a flag planted for a photograph. Not a bootprint preserved in dust. Actual redundancy for consciousness itself. A second copy of everything life has ever been, stored on a different rock orbiting the same star.
Musk: “No AI was used to create it.”
Human engineers. Human welders. Human test pilots catching a 232-foot booster with mechanical arms on the fourth attempt because the first three exploded.
That’s not a company. That’s a species staring down 4 billion years of fragility and refusing to accept the terms.
For four billion years life had no second draft.
A human just wrote one. With his own hands. Before the machines took the pen.
In 1928, the famously taciturn Paul Dirac was trying to write a version of the Schrödinger equation that respected special relativity. The equation he produced, now just called the Dirac equation, did something unsettling: for every solution with positive energy describing a normal electron, there existed a corresponding solution with negative energy.
In classical physics you'd just throw away the negative-energy solutions as unphysical. But quantum mechanics doesn't let you, particles would inevitably cascade down into them, releasing infinite energy. So Dirac made an audacious move. He proposed that the vacuum is actually an infinite sea of negative-energy electrons, completely filled, so that by the Pauli exclusion principle no other electron can fall in. Knock one out, and you leave behind a "hole" — which, viewed from the outside, looks like a particle with positive charge and the same mass as an electron.
This was the first prediction of antimatter, derived from nothing but the demand that the equations be consistent. Initially Dirac thought this hole was the proton, but Hermann Weyl pointed out that it would have to have the same mass as the electron. The existence of this particle, the positron, was confirmed experimentally in 1932 by Carl D. Anderson.
The mind-blowing part: a young man writing down what he considered the most beautiful equation he could think of was effectively told by the mathematics, "You forgot to mention that half the universe exists." And then it turned out to be true.
📷 Niels Bohr Archive, courtesy AIP Emilio Segrè Visual Archives
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