Rivian’s autonomy and software leaders addressed on Thursday growing concerns among R2 reservation holders about the gap between the first vehicles shipping this spring and the LiDAR-equipped versions arriving later this year.
The executives argued that buyers of the early Launch Edition models will not miss out on meaningful self-driving capability despite the hardware differences.
The remarks came during an “Ask Me Anything” session hosted by Chief Software Officer Wassym Bensaid in the r/RivianR2 subreddit, where SVP of Autonomy and AI James Philbin stepped in to field the self-driving questions directly.
The session arrives as Rivian prepares for the first external deliveries of the R2 midsize SUV, with production ramping at the company’s Normal, Illinois plant.
The R2 Performance Launch Edition — priced at $57,990 — has been shipping to employees since late April, and the public configurator went live last week.
Point-to-Point Driving ‘Later This Year’
Asked what upcoming capabilities the software team is most excited about, Bensaid pointed to the company’s Large Driving Model and laid out the timeline for its next major autonomy milestone.
“Beyond that, the team is heavily focused on point-to-point hands-free driving. We’ve been training our Large Driving Model rigorously and the goal is to do a limited roll out of address-to-address autonomy later this year,” Bensaid wrote.
Rivian first introduced the Large Driving Model at its inaugural Autonomy and AI Day in December — where the company described it as a foundational autonomous model trained similarly to a large language model, using Group-Relative Policy Optimization to distill driving strategies from large datasets.
Founder and CEO RJ Scaringe has been building toward this target for months.
He said in September that Rivian planned to expand hands-free driving coverage by roughly 50 times and move toward address-to-address capability.
In November, Scaringe revealed he had driven a Gen 2 R1 for two hours without touching the controls.
What the company has shipped to date, however, remains more limited.
Rivian‘s Universal Hands-Free system launched in December on roads with painted lane markings but does not stop or slow for traffic lights or stop signs.
The feature has drawn mixed early reviews, with one tester calling it “robotic” and “very stiff.”
Launch Edition Hardware ‘Incredibly Capable’
The sharpest questions in the session centred on a concern that has followed the R2 since its launch: whether buying the first units means accepting a hard ceiling on self-driving capability.
The R2 Launch Edition ships with Rivian‘s Gen 2 autonomy stack — a further-developed version of the Nvidia-based compute platform already in R1 vehicles.
A second-generation stack built around Rivian‘s in-house RAP1 processor, LiDAR, and 11 cameras is scheduled to enter production in late 2026.
Scaringe has confirmed on the company’s fourth-quarter earnings call earlier this year that hardware retrofits are not planned.
Reddit user ‘Strict-Platform-3389’ asked directly whether Launch Edition buyers are giving up future capability if they do not care about self-driving.
Philbin stepped in with a detailed response, framing the Launch Edition as one of the most capable autonomy platforms currently on sale.
“R2 Performance with Launch Package is one of the most capable Autonomy platforms of any vehicle on sale in North America today,” Philbin wrote.
The executive highlighted features including 400 sparse TOPS, 11 cameras, 5 radars, and more than 65MP of imaging.
“The ceiling of Autonomy performance is incredibly high with enough headroom for future progress,” he stated.
Philbin confirmed that Launch Edition buyers will receive lifetime access to Rivian‘s Autonomy+ subscription as part of the purchase price.
Autonomy+ is otherwise priced at $49.99 per month or $2,500 as a one-time purchase.
The autonomy leader also outlined the near-term software rollout: “Customers who purchase the R2 Launch Package will have access to our Autonomy+ package included for the lifetime of their vehicle, and will see incredible features roll out to their vehicles over time starting with Universal Hands-Free Phase 2 which adds sophisticated stop sign and traffic light control. Later this year we will start the rollout of point-to-point driving to R2 and R1 Gen2 vehicles.”
The addition of traffic light and stop sign control would address one of the most criticised limitations of the current Universal Hands-Free system.
When the EV maker launched the feature in December, the company explicitly warned owners that the system would not respond to those signals.
LiDAR as a Data Source
User ‘Southernboyj’ asked how R2 Autonomy+ capability would differ between vehicles with and without LiDAR — a question that gets to the core tension in Rivian‘s hardware rollout.
At its December ‘Autonomy and AI Day’, Rivian unveiled the RAP1 — a custom 5nm processor delivering 1,600 trillion operations per second of AI compute — and confirmed that LiDAR would be integrated into future R2 models.
SVP of Electrical Hardware Vidya Rajagopalan said at the time that the Gen 3 system would represent “the most powerful combination of sensors and inference compute in consumer vehicles in North America.”
Philbin’s AMA response framed LiDAR-equipped vehicles not as individually superior but as enablers for the broader fleet.
“LiDAR-equipped vehicles will form the foundation of an improved data flywheel for our Large Driving Model (LDM), with benefits that accrue to the entire Gen2+ fleets, regardless of sensor suite,” he wrote.
Philbin added that Rivian does not expect a noticeable difference between LiDAR and non-LiDAR vehicles “for some time.”
In a separate reply, Philbin elaborated on the architectural relationship between the two hardware generations, stating that “Gen 2 and Gen 3 vehicles are architecturally similar, with the majority of feature development shared between the two platforms. We expect the autonomous capabilities to be largely the same for the next several years.”
He added that Gen 2 vehicles would directly benefit from the data collected by Gen 3 hardware, “with the critical 3D ground truth data from the LiDAR giving us the training data to allow Gen 2 to make the most of their already advanced sensor constellation.”
The framing represents a notable messaging strategy from Rivian.
Rather than positioning LiDAR as a must-have for individual vehicle performance, the company is casting it as a fleet-level training tool — a data source that improves the driving model for all vehicles in the ecosystem.
Edge Compute and Offline AI
Software Chief Wassym Bensaid separately highlighted the R2’s onboard processing as what he considers the vehicle’s most underappreciated feature.
Asked by a Reddit user what about the R2 will become a major differentiator that people are not paying attention to, Bensaid pointed to the infotainment chip’s AI capabilities.
“R2’s infotainment chip has about 200 sparse TOPs and is capable of running a local AI model, on the vehicle itself,” Bensaid noted, adding that “Rivian Assistant, multi-modal awareness using the cameras and sensors, richer graphics — will eventually work when you’re offline in the middle of nowhere.”
“Which when you’re a Rivian owner, is kind of the point,” he added, a reference to the company’s off-road and adventure-focused branding.
He closed with a broader framing of the company’s software-defined vehicle thesis: “This compounds. We own the full software stack down to the motors, suspension, and thermal management. The R2 vehicle you drive home is the least capable version you’ll ever own, and it will continue getting better. That’s not a feature, it’s the architecture.”
The self-driving rollout is also central to Rivian‘s commercial ambitions beyond consumer vehicles.
In March, Uber agreed to invest up to $1.25 billion in Rivian to deploy up to 50,000 fully autonomous R2 robotaxis across 25 cities by 2031, with commercial deployment scheduled for 2028.
The partnership is built around the Gen 3 autonomy platform and is contingent on Rivian hitting undisclosed performance milestones.
