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Tesla’s Safety Score system will be key to in-house insurance’s affordability
Tesla’s Safety Score system may still be in its early stages, but it seems to be a key part of some of the company’s upcoming products. This is particularly true for the Safety Score system, which was recently launched ahead of FSD Beta’s expansion. As observed by Tesla owners who signed up for the company’s in-house insurance in Texas, their rates would be directly tied to their respective Safety Scores.
This is something that would be expected as Tesla expands its in-house insurance service to other states, and perhaps even abroad. As mentioned by CFO Zachary Kirkhorn during the recently-held Q3 2021 earnings call, insurance costs are generally not the fairest thing in the market, with low-risk owners typically overpaying on their rates to subsidize drivers who were riskier on the road. Kirkhorn explained that the car insurance market, in its current state, uses limited data. Fortunately, data just happens to be one of Tesla’s biggest strengths.
“We entered the insurance market kind of unintentionally, I would say. Our customers were coming to us, complaining that the price of traditional insurance was too high and it was reducing the affordability of a Tesla… As we started to do more research, essentially, the tools by which the insurance is traditionally calculated are optimized based upon the existing data, but the existing data is limited. So there’s a focus on things like marital status or age or other attributes like that. Accident history is a good one, etc.
“But what essentially happens here is customers who are low risk and don’t actually file many claims end up overpaying on their insurance relative to their cost. That overpayment then goes to riskier customers who are essentially being subsidized. And, you know, as we looked at this and we looked at the data, we thought this just doesn’t seem like it’s fair. At Tesla, because our cars are connected, because they are essentially computers on wheels, there’s enormous amounts of data that we have available to us to be able to assess the attributes of a driver who’s operating that car and whether those attributes correlate with safety because we do get a signal when a car has been in an accident,” the CFO remarked.
Tesla then proceeded to analyze literally billions of miles of driving history from its fleet, and from this study came a model that was able to predict with decent accuracy the probability of collisions over time. But this was just the beginning. Tesla has learned and is continuing to learn a lot more about its fleet, particularly as the company rolled out its Safety Score system and the FSD Beta Enrollment Program.
“We have almost 150,000 cars currently using a safety score. And I believe the latest data is over 100 million miles of driving. So we’ve been able to go back and analyze that data. And we’ve learned two things coming from that. The first is that the probability of collision for a customer using a safety score versus not is 30% lower. It’s a pretty big difference. It means that the product is working and customers are responding to it. The second thing that we’ve looked at is what is the probability of collision based upon actual data as a function of a driver safety score.
“And that is aligning with our models. Most notably, if you’re in the top tier of safety compared to lower tiers, there’s multiple X difference in probability of collision based upon actual data. So this is a very new and very exciting frontier for us. I know that was long-winded, but I — we spent a lot of time on this and we put a lot of thought into it… So we’re very excited about it. We’re excited about individual risk-based pricing. We’re excited about the ability for folks to become safer and, as a result, save money. And it feeds into our priority of a company — of building the safest products in the world,” Kirkhorn concluded.
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Tesla is starting to prepare for the launch of the Optimus robot in its smartphone app, new coding strings show. Elon Musk has referred to Optimus as what will be the greatest-selling product of any kind of all time, and now, Tesla is getting ready for its launch.
Tesla’s smartphone app had several first-time mentions of the Optimus program, according to Tesla App Updates, who intially reported on the appearance. Here’s what they found:
A Dedicated “Robot” Phone Key Authentication
Tesla is working on a Bluetooth Low Energy, or BLE, authentication that is specifically for robots. This does not only apply to Optimus, though, as Robotaxi, which is Tesla’s autonomous ride-hailing platform, might also identify vehicles within the fleet as robots as well.
Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont
Essentially, pairing your phone as a key to anything Tesla identifies as a robot to a “whitelist” of authorized devices. Optimus, Robotaxi, or other products that fall into this category will only respond if the device trying to communicate with it is authorized.
This is a great security feature that will eliminate at least face-value and low-level threats.
Home Data Collection and System Alerts
This appears to be somewhat of a neural network for Optimus within your house. There will be a dedicated screen that asks for consent to collect both video and spatial data while Optimus performs in-home tasks. Everything from vacuuming, washing dishes, dusting, and other activities will be tracked.
There will also be a comprehensive alert system that will track everything from low battery to mechanical issues.
Other Changes
Most of the changes tracked in this particular app update are related to Tesla’s 2026 Summer Update, and include things such as image assets for new features, a preview of the new custom wraps feature, and other unique features.
You can check out our coverage on what is included with the 2026 Summer Update here:
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla (NASDAQ: TSLA) will report its earnings for the second quarter of 2026 this evening after market close, and investors and analysts are waiting anxiously to see what the company will report for the second three-month span of the year.
Analysts have already put out their expectations from a financial standpoint for the company’s second quarter, but what’s unknown is what Tesla plans to discuss during the call.
Financial Expectations
Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.53, while revenues are expected to come in around $26.4 billion.
This would compare to an EPS of $0.39 and $22.19 billion compared to Tesla’s Q2 2025. Last quarter, EPS came in at $0.41 on $22.387 billion of revenue. Additionally in Q1, Tesla beat analyst expectations, but shares dropped over 3 percent the following trading day.
What We Expect
In terms of discussions, Tesla earnings are pretty sporadic and depend on a handful of things, including current events, investor questions, and more.
Tesla uses a platform called Say to field questions from investors and analysts. These questions are what will be used during the call. Here are the top 5 from the Retail side and top 3 from the Institutional side:
Retail:
“Tesla has missed short-term guidance on robotaxi 3 earnings reports in a row, from 50% coverage of USA by end of 2025 to most recently 7 new cities in 1H26. What is keeping Tesla back from accomplishing these short term goals that they’ve set for themselves?”
“What are the main constraints to expanding robotaxi operations faster, and how do you see that lining up with Cybercab production?”
“What’s the current status of Optimus Gen 3 production ramp, initial deployment in factories, and external sales timeline/volume for 2027? What tasks can we expect the Optimus to perform by end of 2027?”
“To reward long-term Tesla retail shareholders for their loyalty, can you commit to achieving at least half of the goals outlined in your 2025 compensation plan before considering any offers to acquire or merge Tesla?”
“Why has growth of robotaxi vehicles stalled? When will we see cybercab start customer rides?”
Institutional
“Previously, you’ve said Tesla would lead the R&D while SpaceX would lead production for Terafab. Can you provide an update on how that division of responsibilities is evolving, and any additional clarity on the expected capital contributions from Tesla and SpaceX?”
“For autonomous driving, Tesla’s fleet created a huge data advantage by collecting billions of real-world miles. That advantage doesn’t yet exist for Optimus. How should we think about data availability and its impact on Optimus development?”
“Why is it necessary to limit robotaxi operations within specific zones within cities to start? Will every city have to be rolled out this way?”
Tesla will report earnings for Q2 this evening with the Shareholder Deck at 4 p.m. ET, with the call starting around 5:30 p.m. ET.
Elon Musk
Elon Musk handed Grok something no other AI company can get their hands on
Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.
Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.
SpaceX’s massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
This will dramatically improve Grok’s engineering capabilities. https://t.co/BbQEViFByn
— Elon Musk (@elonmusk) July 21, 2026
The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.
The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.
Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.
Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.
Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.
Tesla starts preparing for Optimus in its smartphone app
Tesla Q2 Earnings: Here’s what to expect
