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Tesla’s ‘Big Green’ Semi truck gets a shoutout from Kimbal Musk
The Tesla Semi recently got a shoutout from someone who is part of Elon Musk’s most intimate circle — Kimbal Musk. In a recent post on his Instagram page, Kimbal dubbed the electric long-hauler as a “Big Green” Tesla Semi, referencing his nonprofit organization aimed at building Learning Gardens for schools across the United States.
Quite interestingly, Kimbal Musk’s projects, such as Big Green and Square Roots, could benefit from using the Tesla Semi. Big Green, for one, is involved with building interactive, modular gardens where young American students can learn about real food and healthy eating habits. Considering Kimbal Musk’s goal of building 100,000 Learning Gardens across the US, having an electric truck that can haul materials would be a good idea.
The Tesla Semi is also a perfect match for Kimbal’s Square Roots farming project. Square Roots involves converting old shipping crates into advanced, climate-controlled indoor farms that can yield more than 50 pounds of organic, non-GMO, pesticide-free greens each week. So far, Square Roots is only operating its shipping container-farms in Brooklyn, NY, but it’s not too difficult to see a future where the farming startup’s indoor farms can be transported and set up in other key US cities.
https://www.instagram.com/p/Bj4v7w4Apa6/?taken-by=kimbalmusk
Since being unveiled last November, the Tesla Semi has been sighted numerous times across the United States. Back in March, Elon Musk announced in his social media pages that Tesla would start using the all-electric trucks as transport vehicles to haul battery packs from Gigafactory 1 in Sparks, NV to the Fremont factory in CA. The two Tesla Semi prototypes have also been spotted conducting transport runs between Tesla’s headquarters in Palo Alto, CA and Fremont.
During its unveiling back in November, Elon Musk outlined several of the Semi’s impressive specs. Just like Tesla’s other vehicles, the Semi is capable of quick acceleration, thanks to its four Model 3-derived electric motors that produce instant torque. From a dead stop, the Semi is capable of sprinting from 0-60 mph in just 5 seconds, compared to about 15 seconds on a similar Class 8 diesel truck. With a full 80,000-pound load, the Semi can hit 60 mph in 20 seconds. On average, diesel-powered Class 8 trailers hit highway speeds in about a minute.
The Tesla Semi is capable of climbing 5% grades at a steady 65 mph, unlike diesel trucks that max out at 45 mph on 5% grades. Lastly, thanks to an upcoming network of Megachargers, the Semi will be capable of charging up to 400 miles of range in just 30 minutes.
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The interior of the Tesla Semi as spotted during the 2018 Annual Shareholder Meeting. [Credit: TeslaModel11/Reddit]
During Tesla’s Q1 2018 earnings call, both Elon Musk and CTO JB Straubel noted that the production version of the Semi’s long-range variant would likely have almost 600 miles of range per charge. These statements, of course, stand in stark contrast to criticisms from Tesla’s competitors, especially Daimler AG head of trucks Martin Daum, who threw shade at Tesla earlier this year by suggesting that the Semi’s rated specs, if accurate, defy the laws of physics. According to Straubel, much of competitors’ criticisms come from a misunderstanding of Tesla’s battery technology.
“There’s a fundamental misunderstanding, I think, of what the current technology in our existing products can actually do. Maybe that’s just a misunderstanding of the current status of the technology versus others in the industry. If they’re benchmarking sort of the best battery pack they can buy from a supplier, and then mapping that with what the Semi could do, it doesn’t solve,” Straubel said.
While Tesla is not actively pushing sales for the Semi, Straubel noted during the first-quarter earnings call that the all-electric long-hauler has roughly 2,000 reservations to date. Production of the Tesla Semi is expected to begin in 2019.
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
