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Tesla employee foregoes $1M payment, works with FBI to thwart cybersecurity attack

Tesla Gigafactory 1, where Model 3 battery cells are produced. (Photo: Tesla)

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Sometimes, the events that transpire inside a company could be just as exciting and nail-biting as the most popular thrillers in fiction. In Tesla’s case, such a scenario recently played out, as a worker in Gigafactory Nevada ended up turning down a $1 million incentive, working closely with the FBI, and thwarting a planned cybersecurity attack against the electric car maker. 

This Tuesday, the Department of Justice announced the arrest of Egor Igorevich Kriuchkov, a Russian citizen accused of conspiring to breach the network of a US company and introduce malware to compromise the said company’s networks. Media reports about the incident have identified the US company to be electric car maker Tesla. Interestingly enough, a criminal complaint filed by the FBI Las Vegas Field Office suggests that the attempted cybersecurity attack is no ordinary hacking attempt — it may very well be part of a well-financed, organized, scheme. 

The plan begins

The remarkable story began when a Russian-speaking, non-US citizen working at Tesla’s Gigafactory Nevada was contacted by Kriuchkov. The employee, whose identity has not been revealed, has access to the electric car maker’s computer networks. On July 16, the Russian citizen contacted the Giga Nevada employee through WhatsApp asking to meet with him in Sparks, Nevada. As noted in a report from Clearance Jobs, the fact that Kriuchkov approached a Russian-speaking, non-US citizen working at Gigafactory Nevada suggests that the team behind the cyberattack attempt has done their research well. 

The Tesla employee, some colleagues, and Kriuchkov met socially from August 1-3, which included a trip to Lake Tahoe. Interestingly enough, Kriuchkov reportedly declined to be present in any photos that were taken during the trip. At one point when the group was taking a photo during a picturesque sunset, Kriuchkov reportedly remarked that he would “just remember the beauty of the sunset and did not need a photograph.” After the relatively harmless Lake Tahoe trip, the Russian citizen asked the Tesla employee to meet with him for some “business.”

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Down to “business”

During their “business” meeting, Kriuchkov revealed his hand. The plan involved the Tesla employee inserting malware provided by Kriuchkov and his associates to the electric car maker’s systems. After the malware is inserted, a distributed denial of service (DDoS) attack would occur that could allow the hackers to occupy the Tesla information security team. The malware would also allow the hackers to extract corporate and network data, which would be held ransom until the electric car maker pays up. For his participation in the ploy, the Gigafactory Nevada employee would receive $500,000, later raised to $1 million, to be paid in cash or bitcoin. 

Unfortunately for Kriuchkov and his team, the Giga Nevada employee actually reported the planned cybersecurity attack to Tesla, which, in turn, contacted the FBI. The FBI stepped in, and with the agency’s help, the Tesla employee continued to communicate with Kriuchkov, trying to get as much information as possible about the hackers’ processes, procedures, and infrastructure. The efforts proved fruitful. In one conversation, the hacker reportedly boasted that his team had recently received a ransom worth over $4 million from a high profile company. Later reports would reveal that the company in question was CWT Travel, which reportedly paid a ransom of $4.5 million. 

The plan falls through

During a meeting on August 19, the Tesla employee, wearing a wire from the FBI, met with Kriuchkov. The hacker agreed to pay an advance of $11,000 to the Giga Nevada worker. Two days later, on August 21, the Tesla employee was contacted by the hacker once more, who stated that the project was being “delayed” and all payments relating to the plan would not be transferred until a later date. Kriuchkov also informed the Tesla employee that he was leaving the area the following day. Behind the scenes, the FBI was able to get in touch with the hacker, who, in turn, drove overnight from Reno, Nevada to Los Angeles in what appeared to be an attempt to flee the United States. 

Kriuchkov was unsuccessful, as he was arrested on August 22, 2020 in Los Angeles. The hacker is currently being detained pending trial. Fortunately for Tesla, the company was able to get away from what could have been a serious cybersecurity attack, and it has one employee to thank for it. It takes a lot, after all, to say no to a $1 million reward, as others have compromised far more for far less. 

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Read the FBI’s complaint against Kriuchkov below. 

Complaint Egor Kriuchkov 3 20 Mj 83-0-0 by Simon Alvarez on Scribd

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Investor's Corner

Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst

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Credit: Tesla China

Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.

On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.

However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.

He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.

The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.

Instead, they have asked for a full-size SUV from Tesla.

Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck

Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.

TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.

Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.

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Tesla Hardware 3 owners could be made whole this month

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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