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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.
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Tesla Giga Berlin draws “red line” over IG Metall union’s 35-hour week demands
Factory manager André Thierig has drawn a “red line” against reducing Giga Berlin’s workweek to 35 hours, while highlighting that Tesla has actually increased its workers’ salaries more substantially than other carmakers in the country.
Tesla Giga Berlin has found itself in a new labor dispute in Germany, where union IG Metall is pushing for adoption of a collective agreement to boost wages and implement changes, such as a 35-hour workweek.
In a comment, Giga Berlin manager André Thierig drew a “red line” against reducing Giga Berlin’s workweek to 35 hours, while highlighting that Tesla has actually increased its workers’ salaries more substantially than other carmakers in the country.
Tesla factory manager’s “red line”
Tesla Germany is expected to hold a works council election in 2026, which André Thierig considers very important. As per the Giga Berlin plant manager, Giga Berlin’s plant expansion plans might be put on hold if the election favors the union. He also spoke against some of the changes that IG Metall is seeking to implement in the factory, like a 35-hour week, as noted in an rbb24 report.
“The discussion about a 35-hour week is a red line for me. We will not cross it,” Theirig said.
“(The election) will determine whether we can continue our successful path in the future in an independent, flexible, and unbureaucratic manner. Personally, I cannot imagine that the decision-makers in the USA will continue to push ahead with the factory expansion if the election results favor IG Metall.”
Giga Berlin’s wage increase
IG Metall district manager Jan Otto told the German news agency DPA that without a collective agreement, Tesla’s wages remain significantly below levels at other German car factories. He noted the company excuses this by referencing its lowest pay grade, but added: “The two lowest pay grades are not even used in car factories.”
In response, Tesla noted that it has raised the wages of Gigafactory Berlin’s workers more than their German competitors. Thierig noted that with a collective agreement, Giga Berlin’s workers would have seen a 2% wage increase this year. But thanks to Tesla not being unionized, Gigafactory Berlin workers were able to receive a 4% increase, as noted in a CarUp report.
“There was a wage increase of 2% this year in the current collective agreement. Because we are in a different economic situation than the industry as a whole, we were able to double the wages – by 4%. Since production started, this corresponds to a wage increase of more than 25% in less than four years,” Thierig stated.
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Tesla is seeing a lot of momentum from young Koreans in their 20s-30s: report
From January to November, young buyers purchased over 21,000 Teslas, putting it far ahead of fellow imported rivals like BMW and Mercedes-Benz.
Tesla has captured the hearts of South Korea’s 20s-30s demographic, emerging as the group’s top-selling imported car brand in 2025. From January to November, young buyers purchased over 21,000 Teslas, putting it far ahead of fellow imported rivals like BMW and Mercedes-Benz.
Industry experts cited by The Economist attributed this “Tesla frenzy” to fandom culture, where buyers prioritize the brand over traditional car attributes, similar to snapping up the latest iPhone.
Model Y dominates among young buyers
Data from the Korea Imported Automobile Association showed that Tesla sold 21,757 vehicles to the 20s-30s demographic through November, compared to BMW’s 13,666 and Mercedes-Benz’s 6,983. The Model Y led the list overwhelmingly, with variants like the standard and Long Range models topping purchases for both young men and women.
Young men bought around 16,000 Teslas, mostly Model Y (over 15,000 units), followed by Model 3. Young women followed a similar pattern, favoring Model Y (3,888 units) and Model 3 (1,083 units). The Cybertruck saw minimal sales in this group.
The Model Y’s appeal lies in its family-friendly SUV design, 400-500 km range, quick acceleration, and spacious cargo, which is ideal for commuting and leisure. The Model 3, on the other hand, serves as an accessible entry point with lower pricing, which is valuable considering the country’s EV subsidies.
The Tesla boom
Experts described Tesla’s popularity as “fandom culture,” where young buyers embrace the brand despite criticisms from skeptics. Professor Lee Ho-geun called Tesla a “typical early adopter brand,” comparing purchases to iPhones.
Professor Kim Pil-soo noted that young people view Tesla more as a gadget than a car, and they are likely drawn by marketing, subsidies, and perceived value. They also tend to overlook news of numerous recalls, which are mostly over-the-air software updates, and controversies tied to the company.
Tesla’s position as Korea’s top import for 2025 seems secured. As noted by the publication, Tesla’s December sales figures have not been reported yet, but market analysts have suggested that Tesla has all but secured the top spot among the country’s imported cars this year.
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Tesla FSD fleet is nearing 7 billion total miles, including 2.5 billion city miles
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles.
Tesla’s Full Self-Driving (Supervised) fleet is closing in on almost 7 billion total miles driven, as per data posted by the company on its official FSD webpage.
These figures hint at the massive scale of data fueling Tesla’s rapid FSD improvements, which have been quite notable as of late.
FSD mileage milestones
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles. Tesla owner and avid FSD tester Whole Mars Catalog also shared a screenshot indicating that from the nearly 7 billion miles traveled by the FSD fleet, more than 2.5 billion miles were driven inside cities.
City miles are particularly valuable for complex urban scenarios like unprotected turns, pedestrian interactions, and traffic lights. This is also the difference-maker for FSD, as only complex solutions, such as Waymo’s self-driving taxis, operate similarly on inner-city streets. And even then, incidents such as the San Francisco blackouts have proven challenging for sensor-rich vehicles like Waymos.
Tesla’s data edge
Tesla has a number of advantages in the autonomous vehicle sector, one of which is the size of its fleet and the number of vehicles training FSD on real-world roads. Tesla’s nearly 7 billion FSD miles then allow the company to roll out updates that make its vehicles behave like they are being driven by experienced drivers, even if they are operating on their own.
So notable are Tesla’s improvements to FSD that NVIDIA Director of Robotics Jim Fan, after experiencing FSD v14, noted that the system is the first AI that passes what he described as a “Physical Turing Test.”
“Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies,” Fan wrote in a post on X.
Tesla Giga Berlin draws “red line” over IG Metall union’s 35-hour week demands
Tesla is seeing a lot of momentum from young Koreans in their 20s-30s: report
