How to Get to Orbit Cheaper than SpaceX's Starship
Ian Brooke has developed a new kind of jet engine that can act as the first stage of a rocket.
I get brunch with him every Sunday and have grilled him for hours on how it works.
Adaptive Cycle Jet Engines, the primer 🧵
Two facts about rockets:
- They have to carry a lot of fuel
- Structurally they are quite weak
The miracle of the Falcon 9 and Starship is they can be re-used, 10, maybe even 20 times.
But even a Falcon 9 that lasts forever has to consume massive amounts of fuel
On the other hand, commercial airplanes are designed for 30,000 cycles. They don't carry as much fuel for an important reason:
Jets use the atmosphere as a ladder
Air is mixed with fuel, combusted, and used as reaction mass. Rockets have to carry their own liquid air
"But jets can't go to orbit because they need air, and there's no air in space"
Space is an altitude. Orbit is a velocity
Using the atmosphere for reaction mass up to Mach 6 is like a free booster.
( Falcon Heavy boosters detach at Mach 10 )
This is the beauty of the adaptive cycle jet engine for orbit - a far more reusable first stage with tiny fuel requirements.
A second stage rocket takes you from Mach 6 to Mach 25, orbital velocity.
You skip using rockets when they suck - at low speeds with variable pressure
More re-usability, far less fuel, means cheaper, easier, more frequent launches.
To appreciate how it works, we need to look at the pinnacle of air-breathing engine design, the SR-71 Blackbird.
The fastest plane ever flown.
The SR-71 uses the J58 Pratt and Whitney engine, capable of two modes of operation:
Normal Turbojet, for speeds up to Mach 2.
"Turbo Ramjet," for speeds up to Mach 3.3
Ramjet mode is by far more fuel efficient, and can go up to Mach 6 in principle.
Ian's engine? Three modes
Three modes are what make this jet engine adaptive - maintaining high efficiency at different velocities.
Turbofan for low speeds, then Turbojet, then Ramjet.
What enables this is using a second turbine which is always running at its ideal RPM to drive the fan
Normal commercial jet turbofans are optimized to be efficient at cruising speeds, and so burn massive amounts of fuel at lower velocities.
Ian uses a second turbine that drives the main turbofan with a cryogen-cooled AC motors, like an electrical transmission.
This all sounds obvious - why now?
Electric motors are finally getting good enough in performance. Before, losses in the motor windings and weight would've killed the efficiency gains from having a second turbine drive an adaptive cycle jet engine.
Now it makes sense.
The net-net of all this is that @k2pilot developed a platform that traverses this entire chart to stay maximally efficient.
See how badly rockets perform at low velocities? Ian waits until ramjet speeds to use rockets. Smart.
But orbital launches are just the beginning
While the Space Launch market is projected to reach $30 billion in a few years, the commercial aircraft market is 15x larger.
Boeing and Airbus are the only two players. Both have become sprawling bureaucracies that don't innovate. 737MAX was a tragedy
The problem with trying to build a new commercial aircraft is that its absurdly expensive to certify and operate.
This means your jets have to be absurdly expensive too, or else just assume you can raise unlimited venture capital.
Boom goes your business model.
This is why people love @k2pilot's startup so much.
Like his engine, the company has three modes:
- Generate massive free cash flow through high-margin space launches
- Use this money and flight data to certify a new airframe
- Use this airframe to make the world 3x smaller
That's the win - Commercial flights anywhere in the world 3x faster than anything today, same price.
@k2pilot isn't competing with SpaceX.
Rather, he's building the Tesla of airplanes, to take on 110-year old Boeing.
Space planes just happen to be how you get there
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A Weekend at the El Segundo Defense Tech Hackathon - The UNIX Timestamp of the Deep Tech Renaissance
This weekend smashed all of my expectations.
Here's my honest impressions and takeaways, and where this fits in to the evolving startup scene.
The Gundo Thread: 🧵
Organizers @apollo_defense did a fantastic job bringing together a room full of talented students, defense industry engineers, and investors.
Teams built through the night and even had calls with members of the Ukrainian defense ministry who were keen to see and use the results
The winners of the hackathon delivered a functional prototype with thoughtful consideration of real world requirements, to use drones as relays for free space laser comms.
For many teams ML and AI were used but not as the main show - just part of the stack
The miracle of life is to unpack a living organism from one cell, with a single molecule of instructions driving complex protein machinery.
For first time in history, we can produce fully three-dimensional videos of this process.
Let's take a look at Light Sheet Microscopy 🧵
The first person to observe single-celled organisms was Antony von Leeuwenhoek, a Dutch gentleman-scientist living in the 1600's.
His simple microscope revealed a hidden world of tiny creatures with a magnification of 300x
He named these new wonders "Animalcules"
The field of optics has come light-years since then, developing progressively better and higher resolution imaging techniques that have further elucidated the true nature of living systems.
Some key metrics are resolution, magnification, contrast, and field-of-view
It's a technology that mediates all our access to the digital world, yet hasn't fundamentally evolved in decades.
But screens of all kinds are about to undergo a massive revolution via a technology just barely escaping the lab.
Let's take a look at Light Field Displays, a 🧵
From the Cathode-Ray Tube of yesteryear to the latest flexible OLED display at CES, displays today show a scene the same way:
A 2D grid of diffuse light emitters, where our eyes focus on the plane of the screen to resolve a flat image
The innovation of the earliest "3D Glasses" was to project two different images to each eye simultaneously, creating an illusion of depth by the difference in image between left and right eye - called "parallax"
Modern 3D TV's do the same trick using a Parallax Barrier
Lowell Wood was an architect of the Strategic Defense Initiative, and worked with Edward Teller, father of the hydrogen bomb, to design a system of orbital lasers that could shoot down ICBMs.
Decades later he built a laser system to shoot down mosquitos - the 'Laser Fence'
Funded by the Bill & Melinda Gates foundation's quest to eliminate Malaria, Lowell worked with a few others and within a year had a working prototype that could shoot down mosquitos.
"We'd be delighted if we destabilize the human-mosquito balance of power," says Jordin Kare, an astrophysicist who once worked at the Lawrence Livermore National Laboratory, the birthplace of some of the deadliest weapons known to man.
My Highest Likelihood Explanation on Altman's Departure:
Erosion of senior leadership experience on the OpenAI Board of Directors created a situation where factionalism over the proposed use of a recent breakthrough led to a political takeover.
Over the last few years, board of directors at OpenAI lost a lot of its senior oversight due to conflicts of interest - Elon Musk, Reid Hoffman, Will Hurd. The only person left with significant leadership experience is Adam D'Angelo.
After Will Hurd left, it was a split vote, 3v3:
The likely factions were Ilya, Sam, Greg vs Adam, Tasha, Helen.
Firing Sam was politics.
It was not over performance, strategic leadership, or vision for the company. Rather, there was contention over the use of a breakthrough that drove a vote between safetyism and deployment speed.
Why this was Factionalism - Sudden Ousting
If this was planned, Sam would not be representing OpenAI at APEC events all week, OpenAI DevDay two weeks ago. If Microsoft knew or was involved, Satya Nadella would not have been on-stage with Sam at Dev Day.
Microsoft claims they didn't have advance knowledge of this - they claim they knew about it one minute in advance. There clearly was not internal alignment on this decision either - @gdb just quit over this.
What was the wedge issue? Just recently at APEC Sam announced he had witnessed the frontier of knowledge being pushed back four times in his experience at OpenAI, and the last time was recently - a couple weeks ago.
Likely Greg and Sam wanted to build and deploy it in earnest, and Ilya didn't. Ilya had become lead of the "Superintelligence Alignment" division earlier this year. I would bet Ilya was the vote that broke the stalemate and led to the departure.
Sam was kicked out over concerns he would move AI forward too fast by deploying a recent breakthrough.
It's unlikely departure was related to anything regarding operations, cash burn, partnership-making ability, and so forth - OpenAI has blank-check status for ability to raise, they have huge cashflow, only a few hundred staff, are beyond doubt.
Most importantly, the suddenness of the departure, lack of communication to Microsoft, and resignation of Greg Brockman all point to this being a sudden move by a board faction.
Likely, the board felt that OpenAI was completely setup - in partnerships, funding, team, and direction, they could afford to push Sam out to regain control of of the direction and pace of roll-out of AI tools without threatening the security of OpenAI.
Whatever the proximate justification behind the lack of being 'candid' - this is likely ultimately a split between safetyism and acceleration.
Explanations that should be discarded
Sam is extremely successful and intelligent, but also has a bulletproof reputation as an upstanding, intentional and pro-social person. He's also a billionaire several times over.
The language used in the OpenAI disclosure, as well as comments by Eric Schmidt, seem to all point that this was a disagreement over intentions behind the use of AI tools, rather than an over-reach of power, monetary conflict of interest, or a personal scandal.
What would Sam build next?
A couple weeks ago, he spoke publicly about it. Superintelligence isn't here until it can make novel physical discoveries in science.
AI has revolutionized text and media. The next frontier is the world of atoms. Scientific Foundation Models will be the true AI revolution, for we as humans live in the world of atoms, not bits.
DM me if you are interested in building in this area.
This tweet supports the narrative I've laid out above.