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Elon Musk candidly shows how Tesla’s factory is balancing robots and human work
Back in 2016, Elon Musk described that Tesla’s factory would be “the machine that builds the machine.” Speaking to investors then, Musk noted that the codename for the project was the “Alien Dreadnought,” a machine similar to the massive extraterrestrial crafts depicted in iconic sci-fi films. Musk noted then that the Alien Dreadnought would likely be operational in 2018, with the factory churning out the Model 3 en masse.
As the Model 3 production ramp has shown, getting the Alien Dreadnought up to speed with the company’s manufacturing process turned out to be a much more challenging task than Musk had expected. Amidst delays in the Model 3 production ramp, Elon Musk noted in an interview with CBS earlier this year that humans are “underrated.” Musk also mentioned this in the company’s Q1 2018 earnings call, when he described how Tesla learned that some aspects of the manufacturing process are best done by human hands.
A look into Tesla’s electric car production process at the Fremont factory was recently uploaded on YouTube by noted tech reviewer Marques Brownlee, better known as MKBHD. After his interview with Elon Musk himself, the YouTube host was given a tour of the Tesla factory, particularly the Model S and Model X line. Musk candidly discussed several aspects of the factory, including how Tesla’s robots are programmed and how their operations are integrated with human work. Musk also lightly discussed how he is fond of the Fremont factory’s “dumb robots,” which are easier to program and perform nearly without fault.
Brownlee’s Tesla factory tour with Elon Musk was brief, (MKBHD notes that Musk was eventually pulled into a meeting), but it showed something that has been hidden for quite a while now — it showed an Elon Musk that was funny, optimistic, and seemingly still full of wonder at how the factory is operating. Musk was cracking jokes in the interview, and his inner nerd was in full force as he described to the YouTube host how some of the facility’s robots are named after characters in Marvel’s X-Men series.
In a way, the Elon Musk who went on an interview and toured the Fremont factory with The YouTube host looked like a CEO who was tired and exhausted, but one who is still passionate at what he is doing. Elon Musk’s emotional and psychological state has been a particular focus in the media lately, particularly following an honest interview with the New York Times. Musk showed a notable degree of vulnerability in the Times interview, even admitting that the past 12 months have been the most difficult and painful year of his career.
Tesla’s critics were quick to pounce on Musk’s exhaustion and the vulnerability he exhibited during the interview. And in a way, they are right — Elon Musk is underslept, overworked, and deathly tired. But behind all this is a man who is still pushing hard to get his targets done. Elon Musk in the factory tour with Brownlee was evidently exhausted and overworked, but despite this, he still retains that wit, optimism, and sense of wonder that made him a household name over the years.
Watch MKBHD’s tour of Tesla’s Fremont factory with Elon Musk in the video below.
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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.
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.
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.
Elon Musk
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.
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.”
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.
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.
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.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
