News
Musk’s Boring Co reveals plan to support Hyperloop in published FAQ
Elon Musk’s plan to integrate Tesla electric sleds traveling through underground tunnels dug by The Boring Company will also include support for vacuum-sealed tunnels used by 600+ mph Hyperloop Pods.
The reveal comes from the company’s newly published Frequently Asked Questions page that does away with introductions and cuts straight to the chase.
“A large network of road tunnels many levels deep would fix congestion in any city, no matter how large it grew (just keep adding levels). The key to making this work is increasing tunneling speed and dropping costs by a factor of 10 or more – this is the goal of The Boring Company. Fast to dig, low cost tunnels would also make Hyperloop adoption viable and enable rapid transit across densely populated regions, enabling travel from New York to Washington DC in less than 30 minutes.” reads the FAQ.
The company isn’t even traveling at a snail’s pace, yet it has big plans to do just that – dig tunnels faster than a snail travels. In this case, resident snail Gary (who lives in a pineapple under the sea) can move at 14 times the speed of a Tunnel Boring Machine (TBM) and represents the target speed for the company’s boring machines.
The Framework for Hyperloop
The FAQ sheet broke news that Musk and the team at The Boring Company, in cooperation with Tesla, are planning to build tunnels that can support multi-payloads including that of a Hyperloop Pod. In addition to enabling travel and transport at much higher speeds, this addition is likely to set the Tesla electric sled platform as the standard track that will be used to support mobility of the Hyperloop Pod.
Certain segments of the underground tunnels will have a vacuum shell, if not the entire track, that will allow the tunnel to be held at vacuum. Long distance travel would likely be performed in tunnels held at vacuum, enabling for higher speeds of travel. This format of local versus long distance is the same used by train systems in Europe that have different trains and tracks depending on train speed and distance of travel.
Converts Internal Combustion Vehicles into EVs
Another upside of the system is that it enables the conversion of internal combustion vehicles into zero emission vehicles. When a traditional petroleum powered vehicle is moved onto an electric sled, it will be moved through a system that emits zero emissions. This eliminates the emissions these vehicles would have emitted if they would had ordinarily travelled by road to their destination.
Many people will take Hyperloop Pods to their destinations due to the lower cost of travel. Logistics companies will also shift payload transportation to the tunnel system due to the lower cost as a result of not having a driver, higher speed and automated control over the load. With all of this traffic moving to the conceptual tunnel-based transportation system, it has the potential to radically slash the amount of transportation related emissions and demand for fossil fuels.
If the petroleum industry wasn’t paying attention to Musk and the impact Tesla may have on automotive related fuel consumption, this announcement is surely the wake up call they needed.
Earthquake!
Hollywood thrillers over the years have cast subway systems as the perfect set for apocalyptic thrillers where only a muscular hero armed with backpack full of lithium ion batteries, a stick of bubblegum and the copper from the wiring for the lights can save the day.
The truth, it turns out, is much different. The FAQs relay the facts that structural engineers have know for ages – that properly designed tunnels are one of the safest places to be during an earthquake. The tunnels is not subject to surface forces and instead of resisting the movement of the earthquake, moves with the ground.
Dirty Business
When tunneling in the Minecraft video game, the tunnel materializes and the blocks smashed with a pickaxe or sword simply disappear or move into inventory. The real world is unfortunately not so simple, but The Boring Company has plans to make it just a bit more like Minecraft.
Two major challenges with traditional tunneling are the massive amount of earth being displaced by the tunnel and the equally as challenging amount of concrete that is required to seal the circumference of the tunnel. To solve these challenges together, The Boring Company hopes to develop a process for using the resulting soil to produce earthen bricks. These bricks could even be used as a component of the tunnel lining itself or simply sold as a product.
This is yet another piece of evidence that Tesla truly is attempting to create Minecraft in the real world, reviving the ancient practice of crafting bricks from dirt.
In addition to turning a liability into an asset, this has the potential to drastically cut the amount of concrete used in the production of the tunnels it is constructing. Because of the sheer mass of concrete and the effort required to extract its components, and ship them to the destination, concrete production accounts for a staggering 4.5% of the world’s greenhouse gas emissions. The Boring Company hopes to take a chunk out of those emissions by using bricks where possible in the construction of its tunnels.
Where The Boring Company will go from here is anyone’s guess but this latest update makes it clear that Musk is never willing to settle for the status quo, and always begins working from the ground up – or in this case, from the ground down – when moving into a new business.
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.
News
Tesla Cybercab launch preparations have begun
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
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.
Elon Musk
Elon Musk says he ‘hopes AI is nice to us’
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.
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.
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.



