Two men thought it was a good idea to lend their houses to a North Korean laptop farm. It went wrong

Teleworking has accustomed us to a very comfortable idea: if someone delivers work, attends meetings and responds to messages, perhaps it doesn’t matter too much where they do it from. The problem appears when that distance becomes an advantage to hide identities, move money and enter companies that believe they are hiring a legitimate professional. North Korea has been exploiting precisely that rift. And the case of two men convicted of hosting laptops in their homes shows the extent to which the plot could rely on domestic infrastructure. Two men condemned. Matthew Isaac Knoot, of Nashville, Tennessee, and Erick Ntekereze Prince, of New York, have been sentenced in the US to 18 months each in prison for their role in fraudulent schemes involving remote IT workers linked to North Korea. according to the Department of Justice. The house as a piece of the plot. The mechanism was more domestic than one might imagine. Companies shipped corporate laptops to American addresses because they believed the contracted workers were there. Once received, the computers were housed in those homes and configured with remote desktop applications installed without authorization. This allowed the fake workers to operate from abroad while, to the companies, the connection appeared to come from an address within the United States. What did each one do?. Prince, according to official information, facilitated at least three North Korean IT workers to obtain remote employment in US companies between June 2020 and August 2024, and used his company Taggcar Inc. to fraudulently supply “certified” workers, despite knowing that they were outside the US and using false or stolen identities. Knoot, for his part, operated a laptop farm from his Nashville residences between July 2022 and August 2023. Money, companies and damages. The Justice Department maintains that the two schemes together generated more than $1.2 million for North Korea and affected nearly 70 U.S. companies. In the Prince case, the companies paid more than $943,069 in salaries to IT workers linked to the file. In Knoot’s case, the payments exceeded $250,000. More than labor fraud. The US justice system presents the sentences as part of a specific line of action against facilitators located in the US. The note itself highlights that these are the seventh and eighth convictions of “laptop farmers” obtained in the last five months within their efforts to interrupt North Korea’s illicit generation of income. It is an important nuance: the focus is not only on those who connect from abroad, but also on the local network that makes the operation viable. Expansion into Europe. As we have seen in the pastthese cases are also present outside the United States. The Record discovered in April 2025 an investigation by Google Threat Intelligence Group according to which North Korean operatives had increased their activity in Europe following US police actions against laptop farms and financial networks. At the center were job searches linked to the United Kingdom, Germany and Portugal, in addition to the use of local facilitators to support the alibi of a work presence in the corresponding country. AI and fake identities. One of the most current layers of this story is not only in the laptops, but in the ease of building increasingly credible profiles. BISI points out that North Korean operations combine stolen identities, manipulated professional profiles and AI tools capable of writing localized CVs and cover letters. In the Old Continent, platforms such as Upwork and Freelancer are usually used, in addition to Telegram. The consequence is obvious: detecting the fake candidate can become much more difficult before the company even ships the equipment. What started with laptops housed in private homes ends up having something much bigger than a criminal conviction. The companies were not attacked from outside in the classic sense, but ended up opening the door to workers they believed to be legitimate. So everything seems to indicate that in these times it is no longer enough to protect servers, credentials or repositories, but rather to review the processes that we consider normal, such as the hiring of personnel. Images | Xataka with Grok In Xataka | The ‘vibe coding’ promised to democratize software. Your first gift is 5,000 apps with open sensitive data

lend money to those who buy them

The European automobile sector is experiencing its worst crisis in decades as a result of a perfect storm: This alignment has led the six main European manufacturers to project a drop in sales by 2025. But there is a parallel business that is growing: banking. Why is it important. Volkswagen, BMW and Mercedes have turned their financial divisions into the engine that is making their profits grow. It is no longer just about selling cars, but about financing their purchase. From there its benefits come to an increasing extent. The figures. As detailed The Economist Based on the financial results of different manufacturers, at Volkswagen financial services have contributed 3,096 million euros of Ebitda in the first nine months of 2024. It is 44% of the total, more than the sale of vehicles to passengers and companies combined. A business that grows 7.9% while the rest contracts. BMW places its financial division at 20% of the total business, with 38,562 million euros invoiced. In the third quarter that weight grew to 29.7%. Mercedes reaches 13.4% of its income through this means. Renault 12.5%, with a growth of 19.8% in the last quarter according to the analysis of results collected by the financial media. Between the lines. Automobile companies have built banks within their structures. The logic is simple: deposits provide cheaper financing than issuing debt in the markets. They offer loans, leasing and vehicle subscriptions with margins that the traditional business no longer provides. Yes, but. This model brings systemic risks. During the 2008 crisis, GMAC (the financial division of General Motors) collapsed due to its exposure to mortgages subprime and needed a bailout of $17.2 billion. Mixing banking and sales multiplies the risk when a recession hits. Furthermore, this is not an exclusively Spanish or European phenomenon. How to collect Washington Postthe US FDIC has received applications from GM, Stellantis and Ford to create industrial banks. Trump promised to relax business restrictions, and approving them would set a precedent for technology companies like Apple, Google or Amazon, which have been rumored to make similar moves for decades. The paradox. Automobile companies are mutating towards a model where the car is the pretext and credit is the business. They sell cars to be able to lend money and thus reverse the logic of an industry that defined the 20th century. The question is whether this shift is going to save them or whether it will end up exposing them to a new financial crisis. In Xataka | The car market in Spain in 2025 confirms the trend: the three winners while electrification gains weight Featured image | Lenny Kuhne

You can make money with your GPU when you don’t use it. It is enough that you lend it to those who train AI models

To execute and offer tools based on generative artificial intelligence, a lot of calculation power is needed (and that leads to a lot of energy). Therefore, the most powerful market cards and specific processors for Datacenters They are so quoted today, hence companies such as Nvidia, which specializes in this market, are reaping such an overwhelming success. And since not everyone can afford a powerful graphics card to experiment with AI, there is a service that we see more and more common: to rent a graphics card to remove an extra money. There are several platforms to get it and under these lines we tell you everything you need to know. How the business works. The model consists of acting as a host in a Marketplace where clients are looking for GPU instances for their AI projects. You set the price per hour, the platform manages payments and the client executes their work in an isolated container on your machine. You could say that it is like an Airbnb, but focused on computer hardware. Instances with an rtx 4090 in vast ai Numbers that we must take into account. An RTX 4090 is usually Between about 0.20 and 0.60 dollars per hour in these marketplaces, depending on the demand. In the best theoretical scenario, operating 24 hours a day for a full month, a high -end GPU could invoice around 240 gross dollars monthly (considering that we put it for rent 24 hours a day). But reality is usually more modest, since we have to discount what we pay on our electrical bill, the platform commissions (which can reach 24% in Platforms like Runpod) and, above all, that real occupation is rarely 100%. Expanding market. The price difference between traditional cloud giants (AWS, Google Cloud) and these P2P marketplaces is considerable. While renting a GPU on AWS can cost three or six times more, platforms such as Runpod or Vast AI offer access to very powerful graphics cards, as is the case of RTX 4090, for a few cents the time. And of course, these prices are really attractive to developers who want to experiment with artificial intelligence but do not have means to have a team comparable to the projects they work on. What you should know before starting. Turning your PC into a rental server is not plug-and-play. In most cases you need Install Linuxconfigure updated NVIDIA drivers, open network ports And keep your team working for the hours for which you have committed to offer it, together with adequate refrigeration, which will be necessary if your GPU is going to start working much more and for much longer. In addition, your customers expect the machine to be available when they hire it, which means that you will not be able to use it for gaming or personal work. It should also be noted that the income generated is also subject to taxation and it is possible that it is required to register as an economic activity in cases where income exceeds a certain threshold. There are certain risks. Beyond the wear that the hardware can receive for being constantly working, there are maximum performance, there are some security concerns. Although platforms use containers to isolate workloads, some experts warn about possible Vulnerabilities in multi-tean environments (those environments that serve several users) that could compromise our data or use the GPU to improper purposes. Is it worth it? For most users with a single GPU, the benefits are modest once all expenses and others are discounted. Now, the business makes more sense if you already have the amortized hardware, do not pay too much on your electrical bill and accounts with certain technical knowledge to maintain the stable system. Even more if you have a potential graphics card or level for datacentes. As an experiment or complementary income experiment it can be interesting, but do not expect it to make you rich. First steps. If you want to try it, start with offers “interruptibles“, that is, cheaper but that can be canceled, in order to know the real demand. Vast.ai and Runpod They offer detailed documentation to become host, including step -by -step guides and preconfigured templates. Of course, it is advisable to always control real electrical consumption and establish operation limits to prevent your equipment from becoming a slave to the background processes. Cover image | She Don In Xataka | Nvidia, TSMC and SK Hynix are the most powerful chip companies on the planet. None can allow any of the others to fall

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