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Elon Musk’s The Boring Co’s 2nd tunnel in Las Vegas is alive with activity

(Credit: LVCC)

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Recent reports have suggested that The Boring Company’s second tunnel for the Las Vegas Convention Center is already being built. Video feeds from the site of one of the tunnels’ upcoming stations further indicate that work is still continuing on the site.

Updates about the Boring Company’s Las Vegas tunnels have been quite scarce as of late, though the tunneling startup posted the completion of its first tunnel on its Twitter account last month. After this, the Boring Company shared an image of its new tunnel boring machine, Prufrock, being deployed on an undisclosed site.

The LVCC Loop is expected to be completed by the time CES 2021 begins next year. The system, which will be comprised of two tunnels, will be ferrying attendees and visitors to the complex. Concept images from the tunneling startup show a fleet of autonomous Tesla Model 3 picking up and dropping off passengers at designated locations.

The Boring Company’s LVCVA Station 1 as of March 18, 2020. (Credit: Las Vegas Convention Center)

The fact that the LVCC Loop is still being constructed today bodes well for the project overall. The Las Vegas loop, after all, is the Boring Company’s first project for public use, and it presents an opportunity for the tunneling startup to make its mark in the transportation industry. So far, critics of the Boring Company have used the startup’s inexperience as a critical argument. The Las Vegas Loop is key to addressing this criticism.

The Las Vegas Loop provides more opportunities for The Boring Company beyond additional experience. It could, for one, become a real-world test project for Prufrock, a boring machine that is custom designed by the tunneling startup. Much of the Boring Co.’s innovations rely on Prufrock’s effectiveness, as the machine is designed to function far quicker than traditional TBMs.

The Boring Company has three tunnel boring machines at its disposal. The first one, Godot, was used for the test tunnel in Hawthorne, CA. Godot is a traditional TBM and is thus very slow. Line-Storm, its successor, is a hybrid machine that is capable of digging tunnels a few times faster. Prufrock, a custom-designed TBM, is expected to be capable of tunneling 10 to 15 times faster than conventional boring machines like Godot.

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The Boring Company’s innovations depend on the speed of its projects. With smaller tunnels compared to the ones used on subways, the tunneling startup aims to complete projects at a fraction of the time and a fraction of the cost. To accomplish this, the Boring Company needs to figure out a way to expedite its operations, and the perfect way to accomplish this is to utilize a machine that simply outclasses the competition. Prufrock meets this criteria perfectly, and one can only hope that it gets deployed at the Las Vegas site, if not now, then in the near future.

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 AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1

The update was released just a day after FSD v14.2.2 started rolling out to customers. 

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Credit: Grok

Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers. 

Tesla owner shares insights on FSD v14.2.2.1

Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.

Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.

“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.

Tesla’s FSD v14.2.2 update

Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.

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New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.

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Elon Musk’s Grok records lowest hallucination rate in AI reliability study

Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.

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UK Government, CC BY 2.0 , via Wikimedia Commons

A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested. 

In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.

Grok tops hallucination metric

The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.

Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively. 

Why low hallucinations matter

Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work. 

“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”

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In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT. 

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Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity

He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.

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Credit: Tesla China

Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics. 

The analyst’s updated note

Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker. 

“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment. 

“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote. 

Tesla’s busy 2026

The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.

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Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year. 

Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.

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