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Tesla Model 3 dominates as qualifying leader in historic Pikes Peak run

(Credit: Unplugged Performance)

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The Unplugged Performance team and veteran racer Randy Pobst had planned to adopt a pretty conservative strategy for their modified Tesla Model 3 Performance’s first Pikes Peak run. The vehicle, after all, just had its suspension settings adjusted, and both team and driver wanted to validate how well the changes performed on the course. For the Model 3’s first run up Pikes Peak, the plan was to lift off on the straights to conserve battery for the second run, which would be flat out.

Needless to say, this plan did not end up being followed. At all.

Randy Pobst and Unplugged’s Model 3 Performance Ascension-R launched off into the Pikes Peak course for their first climb, and soon, it became evident to the racing veteran that the car was already almost perfectly dialed in. It was then that Pobst decided to forgo the initial plan and just attack the course at full power. With the veteran racer unleashed, the Model 3 completed the run in 4:15, finishing first place in the Exhibition class. Two other Teslas, a heavily modded widebody Model 3 driven by Joshua Allan and a Model 3 Performance driven by Blake Fuller, finished second and third

Randy Pobst takes on Pikes Peak in the Tesla Model 3 Performance. (Credit: Unplugged Performance)

As noted by Unplugged Performance CEO Ben Schaffer, he and his team were astounded to see Randy’s 4:15 time for his first run. The team had been targeting a time of 4:30 considering their planned strategy, but ultimately, what mattered was that the veteran racecar driver had tons of fun in his first climb of the day. Pobst did suggest some tweaks to the Model 3’s settings after, asking the Unplugged team to add a bit more compression and rebound tuning. But when those changes were done, the father of Track Mode was off for his second hill climb attempt.

Randy Pobst pushed the Model 3 Performance as hard as he could on his second run, and the results, as could be seen in the video below, were simply astounding. With the veteran racer behind the wheel and Unplugged’s parts performing as designed, the Model 3 Performance Ascension-R was able to complete the Pikes Peak run in a stunning 4:12. In second place was Blake Fuller’s Model 3 Performance, which completed the climb in 4:39. Unfortunately, the widebody Model 3 driven by Joshua Fuller retired after it went off track.

Randy Pobst takes on Pikes Peak in the Tesla Model 3 Performance. (Credit: Unplugged Performance)

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What was particularly astounding about Randy Pobst’s 4:12 Pikes Peak Hill Climb run was the fact that the Model 3’s time was only a few seconds off from the record set by the fastest Open Wheel car in the event, which completed the climb in 4:07. The category in hosts some of the craziest purpose-built Pikes Peak machines in the industry, so it was quite surprising to see the Model 3, which only had Unplugged Performance’s Ascension-R modifications, performing in the level of Open Wheel vehicles. In fact, had the Model 3 been competing in the Open Wheel category, it would have finished the day in 3rd place. That’s a pretty insane thought.

“What surprised us the most today (besides capturing 1st place in qualifying) was how we compared to the other group running our section of the mountain. We ran with the Open Wheel cars and that group has some huge power and very lightweight cars. The fastest Open Wheel car was Clint Vahsholtz who ran a 4:07. If we were racing in the Open Wheel division, we would have qualified 3rd place which is pretty insane given how extreme those purpose-built cars are for this event,” Ben Schaffer said.

After dominating the Exhibition class in the event’s first day, Randy Pobst noted that the Tesla Model 3 is arguably the best car he has driven at Pikes Peak to date. This is no small statement, seeing as the legendary driver had climbed the challenging, dangerous course multiple times in the past behind the wheel of the industry’s most aggressive vehicles. “It was quite an honor to hear that from such a legendary driver that we respect so dearly,” the Unplugged CEO said.

Watch Randy Pobst’s stunning Pikes Peak run in the Tesla Model 3 in the video below.

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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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.

Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.

The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”

Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”

Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”

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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.

Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.

The firm also upgraded shares to a Buy from Hold and set a $160 price target.

SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.

Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.

There are plenty of ways the company can do this:

Leasing excess compute capacity through contracts

SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.

SpaceX is charging Anthropic massive money for its compute

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High utilization driven by industry-wide scarcity

The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.

Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.

Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.

High incremental margins on the rental business once capacity is online

GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.

Parallel monetization of its own AI software and applications

Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.

These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.

Efficient, large-scale deployment and vertical integration advantages

SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.

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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.

SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.

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Tesla headlights cause recall of over 20,000 Model 3 and Model Y

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Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.

Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”

Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.

Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.

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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.

Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.

Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.

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