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Tesla lawsuit defendant fires lawyers after TSLA short financing is revealed
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.
“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.
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.
Tesla’s Emergency Motion can be read below.
Tesla v Tripp – Tesla Emerg… by DJ Ferris on Scribd
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
