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US Air Force issues RFP for massive rockets, SpaceX’s BFR could be one of them
The US Air Force has released a Request For Proposal (RFP) that hopes to fund the development of multiple heavy-lift rocket prototypes to launch no later than 2021. The USAF specified on October 5 that it wants to partially fund prototype development for at least three promising US-sourced launch vehicles, while maintaining the options to select none of the proposals or even more than three. The purpose of these broad strokes is to provide the Air Force and US military in general redundant access to space by way of “at least two domestic…launch service providers” capable of meeting National Security Space (NSS) requirements.
However unlikely it may seem, NASA experienced this firsthand when two of the vehicles it funded, SpaceX’s Falcon 9 and Orbital-ATK’s Antares, experienced complete failures within less than a year of each other. Both vehicle failures destroyed supplies intended for the International Space Station and forced NASA to rely on Soyuz missions to fill the gaps created while producing considerable uncertainty for the agency. By funding two or more independent launch vehicles, the Air Force would lessen the impact of such failures, and this assured access is rightly perceived as an invaluable commodity in the military.
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- .While SpaceX’s own visualizations are gorgeous and thrilling in their own rights, Romax’s interpretation adds an unparalleled level of shock and awe. (SpaceX)
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- A render of Blue Origin’s larger New Glenn vehicle. (Blue Origin)
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- The only current render of OATK’s Next Generation Launcher. (OATK)
Several details in the latest proposal make it relatively easy to name the obvious prospective applicants. The payload requirements necessitate heavy lift or even super-heavy lift launch vehicles capable of placing anywhere from 5,000 to 37,500 pounds into a variety of Earth orbits, ranging from low Earth orbit (~500 mi) to direct transfer geostationary orbits (~19,200 mi). This narrows the field considerably, pushing out all smaller-scale vehicles. Also telling is a requirement that proposed launch vehicles make use of rocket propulsion systems (RPS) already funded for development by the USAF if at all possible.
Considering the inherently complex and difficult process of developing massive rockets, initial launch dates no later than 2021 (or 2024) likely mean that the vehicles being considered must already be under some level of serious development. This leaves us with four possible options in the US, undoubtedly not a coincidence given the RFP’s explicit goal of facilitating the creation of “at least three…prototypes as early as possible” and “at least two domestic…launch service providers”. These four vehicles are SpaceX’s BFR, Blue Origin’s New Glenn, ULA’s Vulcan, and Orbital-ATK’s NGL, all of which already have tentative inaugural launch dates clustered from 2019 to 2022. Perhaps even more revealing, all four vehicles can be expected to utilize several rocket propulsion systems (rocket engines) already funded by the Air Force, namely SpaceX’s Raptor, Blue Origin’s BE-4 and BE-3U, and Aerojet-Rocketdyne’s AR-1.
While the development of BE-4 and AR-1 have been somewhat veiled, SpaceX’s Raptor engine has publicly made a great deal of progress. As discussed during Elon Musk’s IAC 2017 presentation, the company has conducted an array of successful tests with its subscale Raptor program, to the tune of 42 individual hot-fire tests totaling more than 1,200 seconds. Musk also reported that the only thing preventing tests longer than 100 seconds was the size of the propellant tanks at the test stand, a genuinely impressive accomplishment if true. The sticking point, however, is how much difficulty SpaceX will have as they transfer to full-scale Raptor testing. The subscale Raptors being tested have a reported thrust of 1,000 kN, whereas the new full-scale thrust targets for BFR have settled on 1,700-1,900 kN, considerably smaller than the 3,000 kN figure from 2016 but still nearly a factor of two larger than the test articles SpaceX has had success with. In fact, educated speculation from SpaceX fans suggest that the operational Raptor as shown in 2017 may only need to be about 15% larger than the current test article(s). The pressure the full-size engine operates at will be considerably higher, so SpaceX’s work is not done by any means, but the company’s next-gen rocket propulsion system is arguably far closer to completion than any of its competitors’ offerings.
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- SpaceX’s subscale Raptor engine has completed more than 1200 seconds of testing in less than two years. (SpaceX)
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- A subscale version of BE-4 testing staged combustion and nozzle technology. (Blue Origin)
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- Aerojet-Rocketdyne’s AR-1 preburner conducted its first successful test earlier this year. (AR)
As far as we are publicly aware, SpaceX’s subscale Raptor testing has yet to result in a major failure and has largely been a great success. Blue Origin’s BE-4 is known to have experienced at least one critical failure during hot-fire testing, while AR-1 has not yet begun full engine tests but is well into concrete hardware testing. Blue Origin’ s BE-4 engine and its New Glenn rocket are currently expected to fly for the first time before 2020, with AR’s NGL tentatively planning for a 2021 inaugural flight, assuming the company chooses to continue pursuing its development.
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SpaceX has not yet specified when BFR or BFS will first take flight. Raptor is likely to begin full-scale testing relatively soon, and Musk revealed that SpaceX was aiming to begin construction of the first BFR as early as Q2 of 2018. It’s quickly starting to look like the U.S. is about to enter a sort of modern commercial space race and regardless of the outcome, the next several months and years are bound to be tense and exciting for SpaceX, Blue Origin, and the established incumbents as they battle for both public and private contracts.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
