News
Ford boasts over 167 percent growth in EV sales, announces Wal-Mart’s 1,100 E-Transit order
Ford released its January 2022 Sales Release, boasting some impressive figures in terms of electric vehicle sales. Ford states that its sales were up 167.2 percent in January compared to the same month in 2021. The growth is outpacing the industry average by almost four times, Ford said in its press release.
The Mustang Mach-E, currently Ford’s only available electric vehicle, accumulated 2,370 sales in January. The remaining sales can be attributed to the F-150 Lightning, whose Order Bank opened in January, finally allowing pre-orderers to finalize their trims and other options, and the E-Transit van.
Ford, who announced a massive $20 billion restructuring plan for its electric vehicle strategy, says its EV sales in January 2022 outpaced industry standards by “almost four times.”
“With a total of 13,169 vehicles sold, Ford electrified vehicles were up 167.2 percent, with share up 5.0 points to 10.9 percent of segment,” the company added. Ford also indicated that more than 300 businesses have put in orders for E-Transit vans. The most notable is Wal-Mart, which placed an order for 1,100 units of the E-Transit.
Update 5:34 PM EST: Wal-Mart reached out to comment on the story.
“Walmart placed an order for 1,100 Ford E-Transits that will be used to support our growing in-home delivery service. As we continue to build our last mile delivery fleet, we’re interested in working with electric van providers that help us achieve our goal of operating a 100% zero-emissions logistics fleet by 2040.”
Ford’s overall business saw just a 0.8 percent increase in overall retail sales. Truck sales actually declined, while SUV sales increased by 9.4 percent. Total sales of electrified vehicles increased by the 167.2 percent figure, while retail sales increased even more sharply. Ford reported 183.1 percent growth in this category.
If growth continues at this pace, Ford will need to prepare for a massive production ramp. CEO Jim Farley recently stated that he believes Ford will be one of the first to scale its EV lineup, vying to reach Tesla, who has gained mass notoriety as the industry leader. “We have to catch up,” Farley said in an interview with Grady Trimble in late January. “We’re going to do the investment in the product and capacity expansion and make vehicles as affordable as possible. We need the government’s help to make the switch to e-mobility through consumer incentives.”
Ford’s Farley commits to 600k units in 22 months: ‘I think we’re one of the first to scale’
The demand is not only coming from Ford’s EV program, unfortunately. Andrew Frick, Vice President of Sales for the U.S. and Canada, notes strong demand for several vehicles, including the Mustang Mach-E, contributed to the most successful months in terms of orders in company history. “Ford market share increased over a year ago on strong demand for our newest products such as Bronco, Maverick, and Mach-E,” Frick said. “Ford took in a record 90,000 new vehicle orders in January. Vehicles are turning at a record pace on dealer lots as we work to fill these orders. This year represents a turning point for Ford in electrified vehicles, as our electrified portfolio grew at nearly four times the rate of the industry segment, with E-Transit and F-150 Lightning set to hit the market.”
Ford will report its Earnings for Q4 and Full-Year 2021 tomorrow, February 3, at 4:05 PM EST. The company’s full January 2022 Sales Release is available below.
January 2022 Sales Release Final by Joey Klender on Scribd
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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.
