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Tesla FSD Beta 10.69.2 “looking good” for weekend release + 10.69.1.1 Reviews
Elon Musk shared that Tesla FSD Beta 10.69.2’s release is still set for this weekend.
Tesla initially planned to release v10.69.2 last week but delayed the update to polish it up more. The company rolled out v.10.69.1.1 to more Beta testers instead.
Tesla FSD Beta 10.69.1.1 Reviews
A few Tesla Beta testers who received v10.69.1.1 shared their observations and thoughts about the update with Teslarati. One of the common issues Beta Testers mentioned was phantom braking.
One 2021 Model S owner, Howard, noted that his Tesla vehicle still experienced phantom braking too much. He shared that his Model S drove like a 16-year-old. “Not smooth with the wheel, throttle, or brakes,” he said.
Howard also observed that his Tesla ignored some speed signs, even if they popped up on the display. The Tesla Model S owner added that his car “still fades right into turn lanes when there is not [a] turn to be done. It then swerves to go to the last [turn] it just left.”
Fellow FSD Beta tester, Michael, was “a bit disappointed” with the latest update. He noted experiencing some phantom braking along the Long Island Expressway.
“Can’t seem to figure out the somewhat irregular lines in the HOV lane, which is surprising to me. Oh well….hope for better next time. Still not there, but much better than first experiences,” Michael added.
Impressions from a longtime FSD Beta Tester
FSD Beta tester Les also shared his thoughts about v.10.69.1.1 with Teslarati. Les has been an Early Access software tester since 2018. He was kind enough to break down all his observations from testing FSD Beta 10.69.1.1.
Les mentioned seeing a few issues with FSD Beta that have been around since Fall 2021. Some of the issues are listed below.
- [The] car doesn’t always stay in [the] proper turn lane when using the outer lane of a left dual turn lane scenario; 8/10 times, mid-turn, it will cross over into the inner turn lane. It has done this for me with every FSD Beta build back to October 2021.
- Inconsistent lane selection: my car will still sometimes move[s] into lanes opposite to the next upcoming turn, sometimes when close to that upcoming turn, sometimes missing the turn itself.
- Late turn signals: this is a long-standing issue many testers have reported. The turn signals [usually] activate too late when they need to activate ahead of a turn lane to alert drivers behind us.
Despite the continuing issues he observed, Les seemed to have an overall good experience with the latest update. He specifically highlighted Tesla’s work with Chuck Cook Style’s unprotected left terms which were specifically mentioned in v10.69’s release notes. Listed below are all his good observations about FSD Beta v. 10.69.1.1.
- The improvement to “Chuck Cook style” unprotected left turns with multiple lanes and medians is incredible. The car utilizes the median space very well. [It] feels like more than an improvement. It really almost feels like a feature upgrade. It’s that significant and amazing to experience.
- The car has almost no more phantom braking events for me. I never had many to begin with, certainly not as many severe events as other friends report, but I did notice the ones I had and the places they occurred no longer occurred.
- Traffic turning across my car’s path no longer triggers a cautious braking event when there’s enough room ahead. The car better recognizes the crossing vehicle’s direction and speed, and my car maintains its speed. Very human-like behavior.
- More assertive and smooth acceleration out of turns, especially when entering a higher speed road. Related: improved acceleration from stops. I like this very much, as prior builds often took too long (for my taste anyway) to get up to speed. It still could get up to speed more quickly, but there is [a] notable improvement.
- The dashcam bug has been eliminated!! The prior build would routinely crash the dashcam after I parked and/or charged, requiring either a computer reboot or removal/reinsertion of [the] dashcam thumb drive to fix. No more problems!
In general, Tesla is steadily improving FSD Beta with each update. And Testers are actively experiencing those improvements. However, Tesla’s Full Self-Driving suite still needs more work before it rolls out to the public.
Are you an FSD Beta tester? I’d like to hear your thoughts on v10.69.2! Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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
