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US Department of Defense documents reveal wormholes and extra dimensions research
As part of a US Department of Defense (DoD) project named the Advanced Aerospace Threat Identification Program (AATIP), the US government funded research involving wormholes and extra dimensions, according to documents released Wednesday in response to a Freedom of Information Act (FOIA) filed in August 2018. A communication addressed to Senators John McCain and Jack Reed, then-chair of the Senate Committee on Armed Services, provided a list of 38 research papers produced under the program, the titles of which indicated several surprising topics. The research disclosed indicates that the government is just as interested in the application of fantastic sounding technologies as science fiction creators and aficionados.
UPDATE: The correspondence to Senators McCain and Reed was first released to former Deputy Director in the UK’s Directorate of Defense Security, Nick Pope, by the US Defense Intelligence Agency’s Office of Corporate Communications on January 16, 2018. An article published in The Guardian in October last year written by Mr. Pope described his interest in the paper’s release after noting a DIA briefing on AATIP given to a Congressional committee in April according to the Congressional Record. The FOIA request was sought and obtained separately from Mr. Pope’s efforts.
Some of the titles of the publications produced with AATIP funding included:
- Invisibility Cloaking, by Dr. Ulf Leonhardt of Univ. of St. Andrews
- Traversable Wormholes, Stargates, and Negative Energy, by Dr. Eric Davis of EarthTech International
- High-Frequency Gravitational Wave Communications, by Dr. Robert Baker, GravWave
- Antigravity for Aerospace Applications, Dr. Eric Davis, EarthTech International
- Concepts for Extracting Energy from the Quantum Vacuum, Dr. Eric Davis, EarthTech International
- An Introduction to the Statistical Drake Equation, Dr. Claudio Maccone, International Academy of Astronautics
- Space-Communication Implications of Quantum Entanglement and Nonlocality, Dr. J. Cramer, Univ. of Washington
The research indicated may seem unusual for a government program, but AATIP’s $22 million dollar purpose, the existence of which was first reported by the New York Times in 2017, was to investigate foreign advanced aerospace weapons threats. Thus, studies into technologies that have years of development to go before having direct applications would be within the scope of the investigation.
The invisibility cloaking, for example, is based on optical illusions achieved through light manipulation which a foreign entity could utilize in some fashion, and a quick Google search of the report’s author, Dr. Ulf Leonhardt, will lead you to his TED Talk explaining the technology. EarthTech International, the institute responsible for some of the more fictional-sounding technology research, is an organization dedicated to exploring theories and topics as they may apply to develop innovative propulsion and energy sources, most of the members of which have PhDs and backgrounds in theoretical and experimental physics. In other words, the topics are well known in the science community, and the DoD is interested in knowing if there are security threats involving their applicability.
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- A summary of the Air Force’s Project Blue Book. | Credit: US Department of Defense/US Air Force
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- A summary of the Air Force’s Project Blue Book. | Credit: US Department of Defense/US Air Force
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- A summary of the Air Force’s Project Blue Book. | Credit: US Department of Defense/US Air Force
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- A summary of the Air Force’s Project Blue Book. | Credit: US Department of Defense/US Air Force
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- A summary of the Air Force’s Project Blue Book. | Credit: US Department of Defense/US Air Force
The background of AATIP is perhaps a bit more interesting to the conspiracy-minded than the research topics provided to Congress. The program began in 2007 and supposedly ended in 2012, although that claim is disputed by the program’s DoD participants. Its initiator was former Senator Harry Reid of Nevada, whose longtime interest in space phenomena is well known in the UFO community. Robert Bigelow – the same man whose Bigelow Aerospace company has successfully installed an expandable module on the International Space Station in 2016 – received a majority of AATIP’s funding to study UFO reports. Bigelow is also well-known in the UFO community for his belief in alien Earth visitation. AATIP isn’t the first known expenditure by the US government on unusual technology – the Air Force’s Project Blue Book (1952-1969) investigated similar phenomena and is currently the subject of a History Channel dramatization by the same name.
UPDATE: Mr. Pope, whose background includes a post at the UK Ministry of Defense’s Secretariat (Air Staff) division where he mirrored the type of work done by Project Blue Book, has provided Teslarati with further context for the revealed AATIP research:
“…I’ve been quoted in various media articles discussing the letter I obtained, but wanted to address the main question I’ve been asked, concerning what this new revelation tells us about the true nature of AATIP. The letter describes the AATIP program as being one looking at next-generation aerospace threats. That’s been the way the DOD and DIA have spun this story from day one. Skeptics of some of the more exotic claims made about AATIP say this isn’t spin at all, but an accurate description of the program. Fair enough, but people should also bear in mind that Harry Reid described the program in similar terms in his June 24, 2009 letter to William Lynn III, and Reid has been very clear that yes, AATIP looked at UAP [Unidentified Aerial Phenomena]…People won’t get a definitive answer…unless and until further AATIP paperwork is released.” – Nick Pope, January 2, 2019
The FOIA request revealing the AATIP research papers was filed by Steven Aftergood, director of the Federation of American Scientists’ Project on Government Secrecy, a group dedicated to promoting public access to national security information. It regularly makes FOIA requests for the public’s benefit within this realm and also publishes government documents otherwise undisclosed or hard-to-find related to public or intelligence policy. A visit to the group’s website will provide links to their work through multiple presidential administrations and resource links for anyone interested in delving further into government secrets.
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Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
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None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
