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Tesla Model 3 earns ‘Superior’ front crash prevention rating by IIHS in safety test

[Credit: IIHS]

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The Tesla Model 3 has attained a “Superior” front crash avoidance rating from the Insurance Institute for Highway Safety, a nonprofit organization funded by auto insurers dedicated to reducing the number of accidents and injuries on the road. The Model 3’s headlights were also given an “Acceptable” rating, due to some glare from the vehicle’s low beams.

The IIHS’s front crash avoidance ratings for the Model 3 are only part of the vehicle’s safety results. The IIHS conducts its full evaluation on several vehicle samples, some of which would be destroyed due to crash tests.

The Model 3 has managed to earn a “Superior” score for front crash prevention in the crash avoidance and mitigation category. The IIHS evaluates the automatic braking functions of vehicles in two tests — one at 12 mph and the other at 25 mph — on its Vehicle Research Center. As noted on the nonprofit’s website, the IIHS awards points based on how emergency systems can slow a vehicle down before coming into contact with an object — in this case, an inflatable car dummy.

The Tesla Model 3 was granted a perfect score, earning points for its Forward Collision Warning, its low-speed autobrake, and its high-speed autobrake systems. During its 12 mph collision avoidance test, the Model 3 was able to reduce its speed by more than 10 mph, and in in the 25 mph test, the compact electric car was able to exhibit a speed reduction of over 22 mph.

While the Model 3 earned a perfect rating for front collision avoidance, the electric car’s headlights were only dubbed as “Acceptable” by the IIHS. Headlights are evaluated based on the lamps’ reach as the vehicle travels on straight and curved lines. Low beams are measured on five approaches — straightaways, left and right curves on an 800-foot radius, and sharp left and right curves on a 500-foot radius.

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As noted by the IIHS, low beams are weighted more heavily than high beams because they are used more often during driving. During the tests, the Model 3’s low beams exhibited a 15.2% glare during straightaways, preventing the vehicle from earning a “Good” score from the IIHS.

Overall, the vehicle’s scores in the forward collision avoidance tests are encouraging, and the less-than-perfect headlights score is understandable. The IIHS, after all, is the organization that dubbed the Model S’ headlights as “Poor.” The 2018 Chevy Bolt EV, a car with bright headlights, was also given a “Poor” headlights rating.

Tesla’s electric cars are among the safest vehicles on the road. Thanks to their construction from a hybrid of aluminum and ultra-high strength steel and the vehicle’s all-electric design, Teslas have generous crush zones that protect drivers and passengers in the event of a collision. Back in February, this was showcased when a Model 3 crashed while traveling at 60 mph. During the incident, the compact electric car was completely totaled, but its driver was able to walk away with only a swollen ankle.

The Model S and Model X are equally safe as well. The electric SUV, for one, has a perfect 5-star safety rating in every category of the NHTSA. The Model S also performed so well during crash testing back in 2013; it quite literally broke the NHTSA’s crash-testing gear.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla starts preparing for Optimus in its smartphone app

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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.

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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:

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Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

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Investor's Corner

Tesla Q2 Earnings: Here’s what to expect

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(Credit: Tesla)

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.

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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?”

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“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.

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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.

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Artistic concept rendering of SpaceX data being incorporated into a Grok AI model

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.

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.

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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.

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