News
US Department of Defense commits $2B to training AI to have “common sense”
While artificial intelligence is being painted by companies and government as the catch-all answer to many of today’s inefficiencies and problems, it currently has one glaring shortcoming: It can’t answer common sense questions.
In an effort to address this current shortcoming of AI, The U.S. Department of Defense (DoD) is committing $2 billion dollars over the next five years to its Machine Common Sense (MCS) Program. The program aims to enable computers to communicate naturally, behave reasonably in new situations, and learn from new experiences.
Thanks in part to Iron Man (and Elon Musk) fame, the Defense Advanced Research Projects Agency, aka “DARPA”, an agency within the DoD, may be one of the few alphabet soup government agencies with a future-tech-savvy reputation. That reputation is well deserved, too, if history has anything to say about it. As the agency that gave us the Internet through an extension of a defense communication project, just having a discussion online about DARPA itself is testament to the tech potential it represents. The challenge of creating true, thinking computers is perfectly aligned with what DARPA has done well with overall.

As the advancement of computer technology increases at a near exponential rate, so too has the potential relationship between them and humans. However, the possibility of a troubling disconnect is also a growing reality. In other words, humans and computers currently operate very differently from one another, and that could spell bad things for the weaker logician of the two. Yeah, that means us.
Elon Musk has famously harped about this predicted disconnect on numerous occasions, and one of the companies he’s invested in, Neuralink, is working on preemptive solutions for its coming problems. While Neuralink generally aims to help human brains work more like computers, DARPA is taking the approach of having computers work more like humans.
The term “common sense” can often be tossed around in conversations to imply a variety of shared knowledge bases, but as a federal government agency, DARPA has its own specific definition for this context: “The basic ability to perceive, understand, and judge things that are shared by nearly all people and can be reasonably expected of nearly all people without need for debate.” By mimicking the cognitive processes we go through when we are young, the agency hopes computers will develop the “fundamental building blocks of intelligence and common sense” just like a human.
With advanced neural networks making amazing (and humorous) headlines regularly, what would a “common sense” machine bring to the table in terms of advancement? One primary answer is the requirement for less initial information. To quote Dr. Brian Pierce, director of DARPA’s Innovation Office, at a recent summit, “We’d like to get away from having an enormous amount of data to train neural networks.” If a machine could use its environment to deduct answers when compared to its existing knowledge base, as humans do, it wouldn’t need to be taught to interpret data solely based on an enormous amount of data previously provided. Essentially, it could think for itself using common sense.
DARPA has now completed a “Proposers Day” wherein potential contractors were presented with the agency’s specifics for its MCS program. The next step is a “Broad Agency Announcement”, i.e., a formal invitation for proposals to work on the project with the hope of obtaining a federal contract to fulfill its aim.
If the contract winner is successful, will common sense lead to computer behavior we’d welcome rather than fear? Hopefully that will be figured out sooner rather than later.
Energy
Tesla meets Giga New York’s Buffalo job target amid political pressures
Giga New York reported more than 3,460 statewide jobs at the end of 2025, meeting the benchmark tied to its dollar-a-year lease.
Tesla has surpassed its job commitments at Giga New York in Buffalo, easing pressure from lawmakers who threatened he company with fines, subsidy clawbacks, and dealership license revocations last year.
The company reported more than 3,460 statewide jobs at the end of 2025, meeting the benchmark tied to its dollar-a-year lease at the state-built facility.
As per an employment report reviewed by local media outlet WXXI, Tesla employed 2,399 full-time workers at Gigafactory New York and 1,060 additional employees across the state at the end of 2025. Part-time roles pushed the total headcount of Tesla’s New York staff above the 3,460-job target.
The gains stemmed in part from a new Long Island service center, a Buffalo warehouse, and additional showrooms in White Plains and Staten Island. Tesla also said it has invested $350 million in supercomputing infrastructure at the site and has begun manufacturing solar panels.
Empire State Development CEO Hope Knight said the agency was “very happy” with Giga New York’s progress. The current lease runs through 2029, and negotiations over updated terms have included potential adjustments to job requirements and future rent payments.
Some lawmakers remain skeptical, however. Assemblymember Pat Burke questioned whether the reported job figures have been fully verified. State Sen. Patricia Fahy has also continued to sponsor legislation that would revoke Tesla’s company-owned dealership licenses in New York. John Kaehny of Reinvent Albany has argued that the project has not delivered the manufacturing impact originally promised as well.
Knight, for her part, maintained that Empire State Development has been making the best of a difficult situation.
“(Empire State Development) has tried to make the best of a very difficult situation,” she said. “There hasn’t been another use that has come forward that would replace this one, and so to the extent that we’re in this place, the fact that 2,000 families at (Giga New York) are being supported through the activity of this employer. It’s the best that we can have happen,” the CEO noted.
News
Tesla avoids California sales suspension after DMV review
The agency confirmed Tuesday that Tesla has taken “corrective action.”
Tesla will not face a 30-day sales suspension in California after the state’s Department of Motor Vehicles (DMV) stated that the company has come into compliance regarding the marketing of its automated-driving features.
The agency confirmed Tuesday that Tesla has taken “corrective action” following a prior ruling over how it promoted Autopilot and Full Self-Driving (FSD), as noted in a Bloomberg News report.
The California DMV had previously given Tesla 90 days to address concerns that were raised by an administrative judge. Regulators had alleged that Tesla overstated the capabilities of its driver-assist systems, which were branded as Autopilot and Full Self-Driving.
A potential 30-day suspension of vehicle sales in California was on the table if Tesla had failed to comply. On Tuesday, however, the DMV stated that Tesla had met the requirements to avoid that penalty, though it did not provide detailed specifics about the changes that were made.
That being said, Tesla did discontinue its standalone Autopilot product in January and has ramped the marketing of its most advanced driver-assistance package available to consumers today, Full Self Driving (Supervised). From its naming, FSD (Supervised) clearly emphasizes that the system, despite its advanced features, still requires driver attention.
Following reports of a potential sales ban in California, Tesla clarified the matter on X, stating that the issue “was a ‘consumer protection’ order about the use of the term ‘Autopilot’ in a case where not one single customer came forward to say there’s a problem.” Tesla also noted that “Sales in California will continue uninterrupted.”
Tesla has not issued a comment about the matter as of writing.
Elon Musk
Elon Musk confirms Tesla Cybercab pricing and consumer release date
Elon Musk has confirmed that Tesla does intend to sell a version of the Cybercab for less than $30,000 by 2027.
Elon Musk has confirmed that Tesla does intend to sell a version of the Cybercab for less than $30,000 by 2027. He shared the update in a post on social media platform X.
Amidst Tesla’s announcement that the first Cybercab has been produced at Giga Texas’ production line, some members of the Tesla community immediately started joking about how the milestone will affect a wager shared by popular YouTube tech reviewer Marques Brownlee (MKBHD.)
Following Tesla’s We, Robot event in October 2024, MKBHD noted that while the Cybercab was impressive in a lot of ways, he is very skeptical about Elon Musk’s estimate that the autonomous two-seater could be sold to consumers for below $30,000 around 2027.
“I think the obvious red flag, the biggest red flag to me is the timeline stuff. This is notorious Elon stuff. He gets on stage, he says we’re going to have this vehicle out for $30,000 before 2027,” he said, adding “No, they’re not. There’s just no way that they’re actually going to be able to do that. I mean, if they do, let’s say they do, I will shave my head on camera because I’m that confident.”
It was then no surprise that meme images of MKBHD with his head shaved immediately spread on X following Tesla’s announcement that the first Cybercab has been built at Giga Texas. One of these, which was posted by longtime FSD tester Whole Mars Catalog, received a response from Elon Musk. The CEO responded with the words “Gonna happen,” together with a laughing emoji.
Apart from riding jokes about MKBHD’s wager, Musk also confirmed that Tesla will be selling a Cybercab to regular consumers before 2027, and the vehicle will be priced for $30,000 or less. In response to an X user who asked if the exact scenario will be happening, Musk responded with a simple “Yes.”
While the first Cybercab has been produced at Giga Texas, it would not be surprising if the following months will only see low volumes of the autonomous two seater being produced. As per Elon Musk in previous comments, the Cybercab’s early production will likely be slow, but it will eventually be extremely fast. “For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast,” he said.