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Tesla Semi truck production would showcase lessons gained from Model 3
Being the electric car maker’s first entry into the trucking industry, the stakes are high for the Tesla Semi. Just like the Model 3, Tesla could revolutionize the trucking industry if the Semi proves to be a success. The company is aiming to start production of the Semi sometime in 2019 — a target that exhibits Elon Musk’s tendency to adopt aggressive manufacturing timelines. That said, if Tesla’s progress in the Model 3 ramp is any indication, there is a good chance that the Semi could be Tesla’s first vehicle to not run into major problems when it starts production.
Tesla is no stranger to missed production deadlines. In 2007, Tesla announced that it has plans to build 10,000 of the then-mythical Model S sedan annually starting in 2009. Production was ultimately delayed, and the vehicle was introduced in June 2012. The Model X experienced an even more significant delay, with deliveries starting on September 2015 instead of its initially planned early 2014 release. Tesla’s latest vehicle, the Model 3, has experienced delays as well — an ordeal that CEO Elon Musk aptly dubbed as “production hell.” When the handover of the first 30 Model 3 was held last year, Musk announced that Tesla is aiming to produce 5,000 units of the electric sedan a week by the end of 2017. Tesla was only able to hit that target at the end of Q2 2018.
Considering Tesla’s history and reputation for delays, does this mean that the Semi would follow the same fate? Most likely not. On the contrary, the Semi might very well be the first Tesla vehicle that would not experience a delay as bad as its predecessors. Tesla might miss its 2019 target for the truck given that the timeline was announced by a very optimistic Elon Musk, but once manufacturing begins, there is a good possibility that the Semi would not take the company to “production hell” like the Model 3.
When Elon Musk unveiled the Semi last November, he pitched the vehicle as an electric truck that can disrupt the trucking industry. With stunning performance specs such as a 0-60 mph time in 5 seconds flat, a capability to haul 80,000 lbs of cargo, and a range of 500 miles per charge for the Long Range version, the Semi is a serious long-hauler. These impressive specs aside, one thing that made the Semi quite remarkable was the fact that it shared components with the Model 3, from its four electric motors to the two touchscreens on the driver’s console. A video of the Semi shared earlier this year on YouTube even showcased how the truck features an air vent similar to the Model 3.
Tesla is not done with the Semi either. As testing of the vehicle continues, Tesla is rolling out improvements to the truck’s design. Back in May, Elon Musk stated that the Semi’s range would be closer to 600 miles per charge. During the Q2 earnings call, Elon Musk also teased a new battery module “that’s actually lighter, better, (and) cheaper.” These new modules are expected to start production sometime in Q1 2019, which could result in vehicles being lighter and having more range — advantages that are pertinent for the electric long-hauler.
Tesla’s production ramp for the Model 3 proved to be a classic tale of trial and error, with a dash of automation-driven hubris thrown in. Over the past year, the company learned a lot of lessons as it evolved from an upstart automaker into a more mature car company. When Tesla starts the Semi’s production, there’s a good chance that it would no longer be a company that adopts unrealistic release timelines. Instead, it would be an automaker that has gained experience over years of missed deadlines. The fact that the Semi shares components with the electric sedan would be a given plus, but the real boost in the manufacturing of the electric truck would likely be caused the expertise that Tesla gained when it tackled the challenge of the Model 3 ramp.
The market for the Tesla Semi is vast, and so far, reactions from the market are encouraging. During the company’s Q1 2018 earnings call, Elon Musk and CTO JB Straubel noted that Tesla has around 2,000 reservations for the vehicle. Tesla has also acquired orders from companies such as PepsiCo, FedEx, and UPS in the United States and Bee’ah from the United Arab Emirates, to name a few.
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.
