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Elon Musk’s Twitter trial delay request denied, but addition of whistleblower complaint gets approval
Elon Musk’s request to delay his trial against Twitter has been denied by a Delaware court. However, Musk’s request to include the claims put forth by whistleblower and former Twitter security chief Peiter “Mudge” Zatko in his countersuit against the social media company has also been approved.
The ruling was outlined by Chancellor Kathaleen McCormick in a letter. With this in mind, Elon Musk has gained a small win and a loss in his initial session with Twitter in court. Musk’s legal team had requested to push the trial back to mid-November, but with the rejection of the request, the trial is still expected to begin on October 17, 2022.
“Defendants’ motion to extend the case schedule is denied… In arguing that trial should be delayed by at least four weeks, Defendants contend that no external deadline creates any urgency. They observe that the merger agreement’s “termination date of October 24, 2022is automatically stayed if litigation is commenced, and debt financing has an outside date of April 25, 2023.”
“They adduce, therefore, that ‘any prejudice to Twitter can be easily mitigated by . . . continu[ing] the trial date.’ But the opposite is true. I previously rejected Defendants’ arguments in response to Twitter’s motion to expedite, making clear that the longer the delay until trial, the greater the risk of irreparable harm to Twitter. Indeed,Twitter has represented that the anticipated risk of harm has materialized over the course of this litigation.
“Twitter ‘has suffered increased employee attrition,’ which ‘undermin[es]the company’s ability to pursue its operations goals. The company has been forced for months to manage under the constrains of a repudiated merger agreement, including Defendants’ continued refusal to provide any consents for matters under the operating covenants. ‘I am convinced that even four weeks’ delay would risk further harm to Twitter too great to justify,” McCormick wrote.
But while Musk’s efforts to delay the trial were unsuccessful, the Tesla CEO’s efforts to augment his countersuit with former Twitter security chief Peiter Zatko’s whistleblower complaint were successful. Zatko had accused Twitter of fraud while also noting that the social media company did not really care to find out how many of its users were spam or fake accounts. Twitter, for its part, has been dismissive of Zatko’s whistleblower complaints.
Twitter lawyers, during their session in a Delaware Chancery court on Tuesday, claimed that Zatko’s accusations do not meet the legal standard to nullify its merger contract with Musk even if they were true. Twitter’s legal team also noted that while Zatko did raise security concerns during his tenure with the company, Twitter investigated the issues internally and found that the security chief’s concerns were “without merit.”
McCormick, however, does not seem to agree with Twitter’s legal team on the issue.
“Defendant’s motion to amend is granted… The newly published Whistleblower Complaint would be grounds in most instances to permit an amendment under the low bar of Rule 15(a). Twitter argues that the amendment would be futile, but their arguments falter against the exceedingly movant-friendly standard of Rule 15(a). I am reticent to say more concerning the merits of the counterclaims at this posture before they have been fully litigated. The world will have to wait for the post-trial decision.
“Twitter also argues that the amendment would be prejudicial to the extent it would expand discovery and extend the case schedule, and Twitter’s arguments to this effect are far more forceful than Twitter’s futility arguments. But that prejudice can be mitigated by cabining additional discovery to the new allegations and maintaining the existing case schedule. So that is what I will do,” McCormick wrote.
Chancellor Kathaleen McCormick’s letter can be viewed below.
Letter Decision Resolving Defendants' Motion for Leave to Amend and Extend Case Schedule (003) by Simon Alvarez on Scribd
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
