News
Tesla FSD Beta 10.69.2.2 extending to 160k owners in US and Canada: Elon Musk
It appears that after several iterations and adjustments, FSD Beta 10.69 is ready to roll out to the greater FSD Beta program. Elon Musk mentioned the update on Twitter, with the CEO stating that v10.69.2.2. should extend to 160,000 owners in the United States and Canada.
Similar to his other announcements about the FSD Beta program, Musk’s comments were posted on Twitter. “FSD Beta 10.69.2.1 looks good, extending to 160k owners in US & Canada,” Musk wrote before correcting himself and clarifying that he was talking about FSD Beta 10.69.2.2, not v10.69.2.1.
While Elon Musk has a known tendency to be extremely optimistic about FSD Beta-related statements, his comments about v10.69.2.2 do reflect observations from some of the program’s longtime members. Veteran FSD Beta tester @WholeMarsBlog, who does not shy away from criticizing the system if it does not work well, noted that his takeovers with v10.69.2.2 have been marginal. Fellow FSD Beta tester @GailAlfarATX reported similar observations.
Tesla definitely seems to be pushing to release FSD to its fleet. Recent comments from Tesla’s Senior Director of Investor Relations Martin Viecha during an invite-only Goldman Sachs tech conference have hinted that the electric vehicle maker is on track to release “supervised” FSD around the end of the year. That’s around the same time as Elon Musk’s estimate for FSD’s wide release.
It should be noted, of course, that even if Tesla manages to release “supervised” FSD to consumers by the end of the year, the version of the advanced driver-assist system would still require drivers to pay attention to the road and follow proper driving practices. With a feature-complete “supervised” FSD, however, Teslas would be able to navigate on their own regardless of whether they are in the highway or in inner-city streets. And that, ultimately, is a feature that will be extremely hard to beat.
Following are the release notes of FSD Beta v10.69.2.2, as retrieved by NotaTeslaApp:
– Added a new “deep lane guidance” module to the Vector Lanes neural network which fuses features extracted from the video streams with coarse map data, i.e. lane counts and lane connectivities. This architecture achieves a 44% lower error rate on lane topology compared to the previous model, enabling smoother control before lanes and their connectivities becomes visually apparent. This provides a way to make every Autopilot drive as good as someone driving their own commute, yet in a sufficiently general way that adapts for road changes.
– Improved overall driving smoothness, without sacrificing latency, through better modeling of system and actuation latency in trajectory planning. Trajectory planner now independently accounts for latency from steering commands to actual steering actuation, as well as acceleration and brake commands to actuation. This results in a trajectory that is a more accurate model of how the vehicle would drive. This allows better downstream controller tracking and smoothness while also allowing a more accurate response during harsh maneuvers.
– Improved unprotected left turns with more appropriate speed profile when approaching and exiting median crossover regions, in the presence of high speed cross traffic (“Chuck Cook style” unprotected left turns). This was done by allowing optimisable initial jerk, to mimic the harsh pedal press by a human, when required to go in front of high speed objects. Also improved lateral profile approaching such safety regions to allow for better pose that aligns well for exiting the region. Finally, improved interaction with objects that are entering or waiting inside the median crossover region with better modeling of their future intent.
– Added control for arbitrary low-speed moving volumes from Occupancy Network. This also enables finer control for more precise object shapes that cannot be easily represented by a cuboid primitive. This required predicting velocity at every 3D voxel. We may now control for slow-moving UFOs.
– Upgraded Occupancy Network to use video instead of images from single time step. This temporal context allows the network to be robust to temporary occlusions and enables prediction of occupancy flow. Also, improved ground truth with semantics-driven outlier rejection, hard example mining, and increasing the dataset size by 2.4x.
– Upgraded to a new two-stage architecture to produce object kinematics (e.g. velocity, acceleration, yaw rate) where network compute is allocated O(objects) instead of O(space). This improved velocity estimates for far away crossing vehicles by 20%, while using one tenth of the compute.
– Increased smoothness for protected right turns by improving the association of traffic lights with slip lanes vs yield signs with slip lanes. This reduces false slowdowns when there are no relevant objects present and also improves yielding position when they are present.
– Reduced false slowdowns near crosswalks. This was done with improved understanding of pedestrian and bicyclist intent based on their motion.
– Improved geometry error of ego-relevant lanes by 34% and crossing lanes by 21% with a full Vector Lanes neural network update. Information bottlenecks in the network architecture were eliminated by increasing the size of the per-camera feature extractors, video modules, internals of the autoregressive decoder, and by adding a hard attention mechanism which greatly improved the fine position of lanes.
– Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
– Improved recall of animals by 34% by doubling the size of the auto-labeled training set.
– Enabled creeping for visibility at any intersection where objects might cross ego’s path, regardless of presence of traffic controls.
– Improved accuracy of stopping position in critical scenarios with crossing objects, by allowing dynamic resolution in trajectory optimization to focus more on areas where finer control is essential.
– Increased recall of forking lanes by 36% by having topological tokens participate in the attention operations of the autoregressive decoder and by increasing the loss applied to fork tokens during training.
– Improved velocity error for pedestrians and bicyclists by 17%, especially when ego is making a turn, by improving the onboard trajectory estimation used as input to the neural network.
– Improved recall of object detection, eliminating 26% of missing detections for far away crossing vehicles by tuning the loss function used during training and improving label quality.
– Improved object future path prediction in scenarios with high yaw rate by incorporating yaw rate and lateral motion into the likelihood estimation. This helps with objects turning into or away from ego’s lane, especially in intersections or cut-in scenarios.
– Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.
– Reduced latency when starting from a stop by accounting for lead vehicle jerk.
– Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.
Press the “Video Record” button on the top bar UI to share your feedback. When pressed, your vehicle’s external cameras will share a short VIN-associated Autopilot Snapshot with the Tesla engineering team to help make improvements to FSD. You will not be able to view the clip.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
News
Tesla Semi is already winning over truck drivers
The consensus among participants is clear: the Semi feels quieter, quicker, and far less physically demanding than diesel rigs while delivering three times the power and dramatically lower operating costs.
Tesla’s all-electric Semi is proving more than just a flashy concept as it is winning converts among the professionals who know trucks best.
As fleets roll out Pilot Programs for Tesla across North America, drivers are raving about the Class 8 electric truck’s unique features, including a centered driver’s seat, massive touchscreen visibility, instant torque, and absence of gear-shifting fatigue.
These features are transforming long days behind the wheel into noticeably easier, less stressful shifts.
Tesla Semi pricing revealed after company uncovers trim levels
In a recent Wall Street Journal profile of early pilots, Dakota Shearer of IMC Logistics described backing out of a tight spot he had mistakenly entered:
“I backed right out of there, no problem. It’s like I’d never done it in the first place. That right there showed me that the technology the Tesla has makes a big difference.”
His colleague Angel Rodriguez of Hight Logistics, who switched from a 13-speed diesel, agreed:
“It’s just easier on your body. It’s less stressful because you’re not really having to engage the clutch and the stick shift.”
Veteran drivers in other tests echo the same enthusiasm. Tom Sterba, a Senior Driver at Saia, spent days testing the Semi and came away impressed with the navigation and overall feel:
“The navigation systems in these trucks are just unbelievable. That’s what I love about it.”
Sterba summed up the experience with a line that has since gone viral among trucking circles:
“I hope I retire in this truck.”
Pilot programs with ArcBest, thyssenkrupp Supply Chain Services, and Mone Transport delivered similar feedback. Drivers consistently praised the center-seat layout for eliminating blind spots, the smooth acceleration, and the overall comfort and safety.
Real-world data backed the hype, as ArcBest logged thousands of miles at efficient consumption rates, even over the challenging routes, like Donner Pass, while other fleets beat Tesla’s own efficiency targets.
The consensus among participants is clear: the Semi feels quieter, quicker, and far less physically demanding than diesel rigs while delivering three times the power and dramatically lower operating costs.
The latest chapter in the Semi’s story arrived just days ago on Jay Leno’s Garage, as Leno became the first outsider to drive the updated long-range production model, joined by Tesla Chief Designer Franz von Holzhausen, and Semi Program Director Dan Priestley.
Tesla reveals various improvements to the Semi in new piece with Jay Leno
The episode revealed major upgrades heading to volume production this year: the truck sheds roughly 1,000 pounds, adopts a 48-volt architecture, switches to fully electric steering with Cybertruck-derived actuators, and uses 4680 battery cells engineered for an over-one-million-mile lifespan.
Aerodynamics improved, enabling a 500-mile range on the long-haul version, and about 325 miles on the shorter-wheelbase standard-range model. Megachargers can now deliver up to 1.2 megawatts, adding roughly 300 miles in about 30 minutes.
Leno hauled heavy loads and marveled at the turning radius and effortless power delivery. “I don’t feel like I’m pulling anything,” he said during the episode.
With hundreds of Semis already accumulating over 13.5 million fleet miles and high uptime, the future of heavy-duty trucking looks electric. Drivers are giving raving reviews, and they’re ready to climb aboard the electric trucking industry for good.
Investor's Corner
Tesla and SpaceX to merge in 2027, Wall Street analyst predicts
The move, Ives argues, is no longer a distant possibility but a logical next step, fueled by deepening operational ties, shared AI ambitions, and Elon Musk’s vision for dominating the next era of technology.
Tesla and SpaceX are two of Elon Musk’s most popular and notable companies, but a new note from one Wall Street analyst claims the two companies will become one sometime next year, as 2027 could see the dawn of a new horizon.
In a bold new research note, Wedbush analyst Dan Ives has reaffirmed his long-standing prediction: Tesla and SpaceX will merge in 2027.
The move, Ives argues, is no longer a distant possibility but a logical next step, fueled by deepening operational ties, shared AI ambitions, and Elon Musk’s vision for dominating the next era of technology.
He writes:
“Still Expect Tesla and SpaceX to Merge in 2027. We continue to believe that SpaceX and Tesla will eventually merge into one company in 2027 with the groundwork already in place for both operations to become one organization. Tesla already owns a stake in SpaceX after the company’s $2 billion investment in xAI got converted to SpaceX shares following SpaceX’s acquisition of xAI earlier this year initially tying both of Musk’s ventures closer together but still represents <1% of SpaceX’s expected valuation. The recent announcement of a joint Terafab facility between SpaceX and Tesla further ties both operations together making it more feasible to merge operations given the now existing overlap being built out across the two with this the first step.”
The groundwork is already being laid. Earlier this year, SpaceX acquired xAI, converting Tesla’s $2 billion investment in the AI startup into a small equity stake, less than 1 percent, in SpaceX.
Regulatory filings cleared the transaction in March 2026, formally linking the two Musk-led companies financially for the first time. Then came the announcement of a joint TERAFAB facility in Austin, Texas: two advanced chip factories, one dedicated to Tesla’s AI needs for vehicles and Optimus robots, the other targeting space-based data centers.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
Ives calls Terafab the “first step” toward full operational integration.
SpaceX’s impending IPO, expected as soon as mid-June 2026, will turbocharge these plans. The company aims to raise approximately $75 billion at a roughly $1.75 trillion valuation, far exceeding earlier estimates.
Proceeds will fund Starship rocket flights, a NASA-contracted lunar base, expanded Starlink services across maritime, aviation, and direct-to-mobile applications, and crucially, orbital AI infrastructure
A major driver is the exploding demand for AI compute. U.S. data centers are projected to consume 470 TWh of electricity by 2030, constrained by power grids and land.
🚨 Wedbush’s Dan Ives says that Tesla and SpaceX will merge in 2027. SpaceX will IPO soon, his new note says:
“According to media reports, SpaceX could file a prospectus for an IPO imminently with the goal of raising ~$75 billion above the prior expectation of ~$50 billion…
— TESLARATI (@Teslarati) March 27, 2026
SpaceX’s strategy, launching millions of solar-powered satellites to host data centers in orbit, bypasses Earth’s energy bottlenecks. Solar energy captured in space avoids atmospheric losses and day-night cycles, offering a scalable solution for AI training and inference.
The xAI acquisition ties directly into this vision, positioning the combined entity as a leader in extraterrestrial computing.
The merger would create a formidable conglomerate spanning electric vehicles, robotics, satellite communications, human spaceflight, and defense.
Ives highlights SpaceX’s role in the Trump administration’s “Golden Dome” missile defense shield, which would leverage Starlink satellites for tracking.
For Tesla, access to SpaceX’s launch cadence and orbital assets could accelerate autonomous driving, Robotaxi fleets, and Optimus deployment.
Musk, who has signaled his desire to own roughly 25 percent of Tesla to steer its AI future, views the combination as essential to overcoming fragmented regulatory scrutiny from the FTC and DOJ.
Challenges remain. Antitrust hurdles could delay or reshape the deal, and shareholder approvals on both sides would be required. Yet Ives remains bullish, maintaining an Outperform rating on Tesla with a $600 price target, implying substantial upside from current levels. The analyst sees the merger as the “holy grail” for consolidating Musk’s disruptive tech empire.
If realized, a 2027 Tesla-SpaceX union would not only reshape corporate boundaries but redefine humanity’s trajectory in AI and space exploration. It would mark the moment two pioneering companies become one unstoppable force, pushing the limits of what’s possible on Earth and beyond.
News
Tesla ‘Killer’ heads to the graveyard as AFEELA taps out
SHM has officially discontinued development of its highly anticipated AFEELA electric vehicles. On March 25, the joint venture between Sony and Honda announced it would halt the AFEELA 1 luxury sedan and a planned SUV model.
There have been many Tesla “Killers” over the years, all of which have either failed to dethrone the automaker from its dominance in the United States, or even make it to the market altogether.
The Sony Honda Mobility (SHM) project, known as AFEELA, is the latest to make it to the grave, as the company announced its intentions to abandon the project earlier this week, Bloomberg reported.
SHM has officially discontinued development of its highly anticipated AFEELA electric vehicles. On March 25, the joint venture between Sony and Honda announced it would halt the AFEELA 1 luxury sedan and a planned SUV model.
🚗 Tesla Killers Graveyard:
Sony-Honda AFEELA
The sleek, AI-packed luxury sedan with PlayStation integration. Officially cancelled in March 2026 after Honda scaled back its EV plans.Fisker Ocean
Stylish SUV with solar roof promises. Company filed for bankruptcy in 2024 amid… https://t.co/Om14UhISOy— TESLARATI (@Teslarati) March 26, 2026
The decision follows Honda’s March 12 reassessment of its electrification strategy, which scrapped several upcoming EV programs amid slowing demand, high costs, and shifting market conditions.
SHM stated that it could no longer rely on key Honda technologies and manufacturing assets, leaving “no viable path forward.” Reservation fees for early buyers in California are being fully refunded, and the joint venture’s future is now under review.
Launched with fanfare in 2022, the AFEELA was positioned as a tech-forward premium EV blending Honda’s engineering reliability with Sony’s entertainment and AI expertise.
Prototypes featured advanced autonomous driving systems, immersive in-cabin displays, and even PlayStation integration, earning it early media labels as a potential “Tesla Killer.”
Priced around $90,000, the sedan was slated for limited production at Honda’s Ohio plant with deliveries targeted for late 2026. Industry watchers saw it as a serious challenger to Tesla’s dominance in software, connectivity, and premium appeal.
Yet, like many ambitious EV projects, it fell victim to broader industry headwinds: softening consumer demand, persistent high interest rates, and intense competition from established players.
The AFEELA joins a long list of vehicles once hyped as “Tesla Killers” that failed to deliver. In the late 2010s, Fisker’s second act, the Ocean SUV, promised stylish design and solid-state battery tech but collapsed into bankruptcy in 2024 after production delays, quality issues, and financial shortfalls.
Faraday Future poured billions into the FF 91 luxury sedan, touting it as a hyper-tech rival with unmatched performance and features; the company delivered fewer than 100 vehicles before fading into obscurity.
Lordstown Motors’ Endurance electric pickup generated massive pre-order buzz and Wall Street excitement but imploded after exaggerated range claims, a factory sale, and eventual bankruptcy.
Even Lucid Motors’ Air sedan, frequently called a Tesla slayer for its superior range and luxury, has struggled with sluggish sales and missed growth targets despite strong reviews.
Rivian’s R1T and R1S trucks enjoyed similar early acclaim and a blockbuster IPO, yet production ramp-up challenges and profitability woes have prevented it from dethroning Tesla.
The AFEELA’s quiet demise underscores a harsh reality in the EV sector. While Tesla’s first-mover advantage in software, charging infrastructure, and brand loyalty remains formidable, legacy automakers and tech newcomers alike continue to underestimate the complexities of scaling affordable, desirable electric vehicles.
As market realities force tough choices, the graveyard of “Tesla Killers” grows longer, another reminder that innovation alone is rarely enough to topple an established leader.
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Tesla and SpaceX to merge in 2027, Wall Street analyst predicts
Tesla lands on Fortune’s 2026 Most Innovative Companies and the Cybercab is why
Elon Musk says Tesla is developing a new vehicle: ‘Way cooler than a minivan’
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
