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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.
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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
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
