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Cruise shares comment after robotaxi crashes into San Francisco Muni bus

Image Credit: @d_bau13/Twitter

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A Cruise robotaxi operating without a safety driver recently collided with a San Francisco Municipal Transportation Agency (Muni) bus. There were no reported injuries. While the bus sustained modest damage, the damage to the Cruise vehicle’s front bumper was more severe.

At the time of the incident, the Cruise robotaxi was not carrying any passengers. The GM self-driving unit addressed the incident in a brief statement: “Yesterday, one of our vehicles made contact with the rear of a Muni bus. No injuries were reported, and there were no passengers present in the Cruise AV. We are investigating the incident and will take follow-up actions if appropriate.”

https://twitter.com/d_bau13/status/1639025889706123264?s=20

Based on Cruise’s comment and a photo of the incident, it appears that the robotaxi rear-ended the bus at a relatively low speed. A picture of the accident shared on social media shows the robotaxi still in contact with the bus. The impact occurred just after a bus stop too, which further suggests that the collision likely happened at low speeds, as noted in a Forbes report. The Cruise vehicle’s airbags did not seem to have deployed either, as seen in the photo.

This incident highlights the need for Cruise to further optimize its robotaxi fleet in San Francisco for real-world use. One could infer that the robotaxi’s suite of sensors should have detected the Muni bus, and should thus have stopped before the collision happened.

In a recent, separate incident, a Cruise robotaxi encountered fallen trolley wires during a high-wind storm. The vehicle drove through “caution” tape that was closing off a road and struck the non-live wires. While twisted caution tape may be difficult for sensors like LIDAR and radar systems to detect, trolley cables are thicker and are likely substantially more visible. 

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Although the recent storms in San Francisco have presented challenges, it can be assumed that Cruise has simulated such scenarios during its robotaxis’ training and testing processes. The incidents involving the Muni bus and trolley wires highlight the importance of real-world testing and edge case training for robotaxis to help ensure their safe operation. This is something that other companies which are also pursuing robotaxi technology — such as Waymo and Tesla — should really emphasize.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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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Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

The CEO stated that Nvidia is already an investor in xAI, but he wished he had given the artificial intelligence startup more money.

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Credit: Elon Musk/X

Nvidia CEO Jensen Huang revealed that one of his investment regrets is not putting more money into Elon Musk’s artificial intelligence startup, xAI. 

Speaking in a CNBC interview, Huang said Nvidia is already an investor in xAI but wished he had given the artificial intelligence startup more money. This was due to Musk’s record of building transformative companies such as Tesla and SpaceX.

A new wave of transformative AI firms

Huang said he’s very excited about xAI’s latest financing round. He described Musk’s company as part of a powerful new generation of AI developers, alongside OpenAI and Anthropic. that are reshaping the computing landscape.

“I’m super excited about the financing opportunity they’re doing. The only regret I have about xAI, we’re an investor already, is that I didn’t give him more money. You know almost everything that Elon’s pat of, you really want to be part of as well,” the Nvidia CEO stated.

The CEO also clarified Nvidia’s investment in xAI, revealing that Elon Musk had offered the investment opportunity to the chipmaker. “He (Musk) gave us the opportunity to invest in xAI. I’m just delighted by that,” Huang stated.

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AI investment boom

Huang contrasted today’s AI-driven economy with the early days of the internet. “Back then, all the internet companies combined were maybe $30 or $40 billion in size,” he said. “If you look at the hyperscalers now, that’s about $2.5 trillion of business already operating today.”

He also stated that the ongoing shift from CPU-based computing to GPU-powered generative AI represents a “multi-trillion-dollar buildout” that Nvidia is looking to support. Huang added that every Nvidia engineer now works with AI coding assistants such as Cursor, which he called his “favorite enterprise AI service,” and it has led to a major productivity boost across the company.

Watch Nvidia CEO Jensen Huang’s CNBC interview in the video below.

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Investor's Corner

Stifel raises Tesla price target by 9.8% over FSD, Robotaxi advancements

Stifel also maintained a “Buy” rating for the electric vehicle maker.

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Credit: Tesla China

Investment firm Stifel has raised its price target for Tesla (NASDAQ:TSLA) shares to $483 from $440 over increased confidence in the company’s self-driving and Robotaxi programs. The new price target suggests an 11.5% upside from Tesla’s closing price on Tuesday.

Stifel also maintained a “Buy” rating despite acknowledging that Tesla’s timeline for fully unsupervised driving may be ambitious.

Building confidence

In a note to clients, Stifel stated that it believes “Tesla is making progress with modest advancements in its Robotaxi network and FSD,” as noted in a report from Investing.com. The firm expects unsupervised FSD to become available for personal use in the U.S. by the end of 2025, with a wider ride-hailing rollout potentially covering half of the U.S. population by year-end.

Stifel also noted that Tesla’s Robotaxi fleet could expand from “tiny to gigantic” within a short time frame, possibly making a material financial impact to the company by late 2026. The firm views Tesla’s vision-based approach to autonomy as central to this long-term growth, suggesting that continued advancements could unlock new revenue streams across both consumer and mobility sectors.

Tesla’s FSD goals still ambitious

While Stifel’s tone remains optimistic, the firm’s analysts acknowledged that Tesla’s aggressive autonomy timeline may face execution challenges. The note described the 2025 unsupervised FSD target as “a stretch,” though still achievable in the medium term.

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“We believe Tesla is making progress with modest advancements in its Robotaxi network and FSD. The company has high expectations for its camera-based approach including; 1) Unsupervised FSD to be available for personal use in the United States by year-end 2025, which appears to be a stretch but seems more likely in the medium term; 2) that it will ‘probably have ride hailing in probably half of the populations of the U.S. by the end of the year’,” the firm noted.

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Tesla Cybertruck gets Full Self-Driving v14 release date, sort of

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Tesla Cybertruck owners are wondering when they will get access to the company’s Full Self-Driving version 14.1 that rolled out to other owners today for the first time.

Cybertruck owners typically receive Full Self-Driving updates slightly later than other drivers, as the process for the all-electric pickup is different. It is a larger vehicle that requires some additional attention from Tesla before FSD versions are rolled out, so they will be slightly delayed. CEO Elon Musk said the all-wheel steering technically requires a bit more attention before rollout as well.

After some owners got access to the v14.1 Full Self-Driving suite this morning, Cybertruck owners sought out a potential timeframe for when they would be able to experience things for themselves.

Tesla owners show off improvements with new Full Self-Driving v14 rollout

They were able to get an answer from Ashok Elluswamy, Tesla’s Head of AI, who said:

“We got you. Coming soon.”

The release of FSD v14.1 for Cybertruck will not be tempered, either. Elluswamy then confirmed that Tesla would be rolling out the full-featured FSD v14 for the pickup, meaning it would be able to reverse and park itself, among other features.

Elluswamy said it would be capable of these features, which were void in other FSD releases for Cybertruck in the past.

Tesla’s rollout of FSD v14.1 brings several extremely notable changes and improvements to the suite, including more refined operation in parking garages, a new ability to choose parking preferences upon arriving at your destination, a new driving mode called “Sloth,” which is even more reserved than “Chill,” and general operational improvements.

Those who were lucky enough to receive the suite have already started showing off the improvements, and they definitely seem to be a step up from what v13’s more recent versions were capable of.

CEO Elon Musk called v14 “sentient” a few weeks back, and it seems that it is moving toward that. However, he did state that additional releases with more capabilities would be available in the coming weeks, but many owners are still waiting for this first version.

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