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Uber will offer self-driving Volvos in Pittsburgh this month

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Uber customers in Pittsburgh who request a ride from the ride sharing service may find themselves riding in a specially prepared Volvo XC90 that can drive itself. Passengers will ride in a self-driving vehicle chaperoned by a human driver behind the wheel ready to take control of the car if necessary and an engineer monitoring the operation of the autonomous system. This will mark the first time a self-driving car has been used in commercial service in the United States.

Uber’s self-driving car program has been under the stewardship of John Bares since January, 2015. Bares was head of Carnegie Mellon University’s National Robotics Engineering Center for 13 years before he left to start Carnegie Robotics, a Pittsburgh-based company that makes components for self-driving industrial robots used in mining, farming, and the military.

“I turned him [Kalanick] down three times. But the case was pretty compelling.” Bares says. Once he joined Uber, he quickly put together a team consisting of hundreds of engineers, robotics experts, and few old fashioned auto mechanics. The mission was nothing less that to replace Uber’s 1 million human drivers with robotic drivers as soon as possible. The message is, if you drive for Uber, you should keep your resumé up to date and your eyes open for other lines of work.

Pittsburgh is the center of the Uber self-driving experiment because that is where the talent is. Carnegie Mellon is a world leader in autonomous systems. Its graduates are working on the Google car and are in high demand at any company planning to offer self-driving cars, including Apple and Tesla. Earlier in the year, a Tesla Model S loaded with cameras and sensors, presumably a test mule for Autopilot 2.0, was spotted testing in Pittsburgh.

So far, Uber has just a few specially modified Volvo XC90s ready for commercial service, but it expects to have 100 of them by the end of the year. The hardware at the heart of its self-driving system includes cameras, radar, lidar, GPS receivers, and a liquid cooled computer mounted in the rear.

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Uber self driving Volvo

Uber self-driving Volvo XC90

Uber is moving fast. “We are going commercial,” says CEO Travis Kalanick. “This can’t just be about science.” Last month, it purchased Otto, a start-up company that is working to bring self-driving long haul trucks to market. In theory, its technology will allow truck drivers to crawl in back and nap while the trucks are on the highway. Uber will take over and re-brand that business and incorporate the Otto technology into its own self-driving systems.

Otto’s founders were all previously members of the Google car program, but grew impatient with the slow, plodding pace of development at Google. They wanted an opportunity to showcase their talents much sooner than they could if they remained at Google. “We were really excited about building something that could be launched early,” says Anthony Levandowski, co-founder of Otto.

Kalanick is clearly looking to be the first to begin offering a self-driving ride hailing service. He intends to beat Tesla, Apple, Google, Ford, and Genera Motors to the punch. “Nobody has set up software that can reliably drive a car safely without a human,” he says in an oblique reference to Tesla’s Autopilot system. “We are focusing on that.” Developing an autonomous vehicle, he adds, “is basically existential for us.”

At first, trips in the self-driving Volvos will be free. Uber’s standard local rate is $1.30 per mile but Kalanick says eventually prices will be so low that the cost per mile will be cheaper in a self-driving Uber than in a private car, even in rural areas. “That could be seen as a threat,” says Volvo CEO Hakan Samuelsson. “We see it as an opportunity.”

Source: Bloomberg   Photo credit: Uber, AP

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Elon Musk

Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab

Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.

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During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.

Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”

Tesla Semi’s official battery capacity leaked by California regulators

The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.

A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.

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Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.

The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.

It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.

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

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.

This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.

Tesla Q2 2026 Earnings Results

  • Non-GAAP EPS – $0.33 reported vs. $0.53 expected
  • Revenues – $28.236 billion reported vs. $26.4 billion expected
  • Free Cash Flow- -$1.092B
  • Profit -$ 4.751B

Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.

Tesla shares closed today down just over 1 percent, trading at $374.01.

In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.

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Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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Elon Musk

Tesla is about to make parking in busy lots less stressful than ever

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Tesla FSD 14.3 [Credit: TESLARATI)
Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.

Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:

Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.

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Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.

Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.

The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:

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

Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.

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Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.

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