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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.
News
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla confirms that work on Dojo 3 has officially resumed
