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Tesla lawsuit defendant fires lawyers after TSLA short financing is revealed

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Tesla’s lawsuit against former employee Martin Tripp has taken an unusual turn.

After publishing a large number of documents and videos online over the last week, including many under a confidentiality order in the case, Tripp has now fired his lawyers and will represent himself moving forward. Notably, this action coincided with the revelation that a TSLA short seller, The Funicular Fund, LP (dba Cable Car Capital LLC), was financing Tripp’s legal defense.

The case has been ongoing since 2018 wherein Tesla filed a complaint alleging that Tripp, a former process technician at Gigafactory 1 in Nevada, had stolen several gigabytes of confidential trade secret information and transferred it to third parties. Tripp denies wrongdoing and claims to be a whistleblower reporting evidence of securities fraud and concerns over safety during early Model 3 manufacturing. He has further filed a counterclaim against Tesla in the case, alleging defamation.

Following a report published by Bloomberg revealing Car Capital’s financial role in the case, Tripp took to Twitter to both double down and explain his actions.

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(Credit: Martin Tripp/Twitter)

“Why should it be a secret as to who is financing my litigation? …My Attys were certainly secretive, and made it clear that I NOT say a word about it if questioned…,” he wrote. “To be clear…I did NOT accept money to fund my litigation from a ‘short seller.’ I accepted litigation financing from an investor… They DID tell me they short tesla stock (and other stocks if I am not mistaken). But, I don’t give a shit about shorting, whatever the hell it is. I care about, you guessed it…the truth, and being able to fight for it.”

In the documents Tripp published via Google Drive, several letters and two documents titled “Litigation Funding Agreement” revealed that Cable Car Capital had invested $150,000 into Tripp’s defense and another $125,000 was later sought after the first round was near exhaustion. Tesla responded immediately to the revelation and filed an Emergency Motion on Monday demanding Tripp be ordered to stop publishing the information and stop ‘harassing’ the carmaker’s counsel, among other things.

In addition to publishing confidential information, Tripp had also posted a copy of an email from Tesla’s counsel, Jeanine Zalduendo, to his attorneys demanding the cessation of his actions. “No Jeanine, I don’t think I will…,” he wrote on Twitter with an image of the correspondence attached.

(Credit: Martin Tripp/Twitter)

The judge in the case, formally Tesla Inc. v. Tripp and assigned number 18-cv-00296 in USDC District of Nevada (Reno), held an emergency court hearing via teleconference the same day of Tesla’s emergency filing. Tripp was ordered to stop publishing and discussing the confidential information and a hearing was scheduled to determine whether he would also be held in contempt of court and face sanctions, according to Bloomberg.

On Tuesday, Tripp’s lawyer filed a Motion to Withdraw as Counsel with Consent, formally ending the firm’s relationship with the defendant. “On August 7, 2020, undersigned counsel received notice via an e-mail sent from Mr. Tripp’s e-mail address that he wished to terminate the attorney-client relationship and represent himself,” the document stated. The former Tesla employee also posted several videos on YouTube detailing his actions and decision.

Throughout his numerous Twitter discussion threads on the matter in the hours since learning about Tesla’s Emergency Motion, Tripp has continued to discuss the original confidential information in depth. Part of the communications has detailed how difficult it was to obtain legal funding to counter the lawsuit originally. Tripp has also set up a GoFundMe account to assist with both legal expenses and his cost of living in Hungary, where he currently resides.

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Tesla’s Emergency Motion can be read below.

Tesla v Tripp – Tesla Emerg… by DJ Ferris on Scribd

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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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.

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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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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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