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SpaceX celebrates 2018 Hyperloop competition success, opens 2019 registration
SpaceX has released a video commemorating the amazing successes of its 2018 Hyperloop Pod Competition at the same time as it’s opened up registration for next year’s follow-up competition, paving (pipelaying?) the way for another throwdown that will seek to once again crown victorious the student team with the fastest pod.
With any luck to next year’s competitors, one or several of those 2019 entrants may once more smash the 2018 world speed record, faster than any production car in history at a whiplash-triggering 467 km/h (290 mph).
With that 290 mph top speed confirmed after WARR’s third 2018 pod run, the Technical University of Munich (TUM) student-led operation solidified itself – for the second time in a row – as the team to beat, breaking their own 2017 Competition 2 speed record of 324 km/h (202 mph) by nearly 50%, a record that itself smashed WARR’s own 90 km/h (~56 mph) top speed record from the inaugural Hyperloop Competition just six months prior. Now the proud holder of three of three Hyperloop Competition top-speed trophies, all eyes will once more be on WARR in anticipation of yet another spectacle of smashed records.
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- SpaceX’s Hyperloop test track from the outside, 2018. (SpaceX)
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- And the inside… (SpaceX)
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- WARR Hyperloop’s 2018 pod demolished the competition by a margin of more than 300%. (SpaceX)
As noted on SpaceX’s website, that fourth upcoming competition – scheduled for the summer of 2019 – features two major updates to the rules and winning criteria.
As with previous competitions, the competition will be judged solely on one criteria [sic]: maximum speed with successful deceleration (i.e. without crashing) and all Pods must be self-propelled.
1. Teams must use their own communications system. SpaceX will not provide its on-Pod communications system, otherwise known as the Network Access Panel (NAP).
2. Pods must be designed and tested to propel themselves to within 100 feet of the far end of the tube before stopping. This can take the form of a single main run to that point, or a “slow crawl” after the Pod’s main run has been completed.
In essence, SpaceX is continuing to gradually remove crutches, encouraging student teams to become more and more independent, especially useful for returning groups. Communication with pods is surprisingly difficult, as any solution chosen must function reliably, wirelessly, and in vacuum conditions, meaning that 2019 competitors will face another major challenge while designing new pods or updating older entrants.
Meanwhile, the decision to require pods to either be able to accurately stop with an error of less than 2% the test Hyperloop’s length (100 feet) or be capable of multiple modes of propulsion (i.e. top-speed runs and “slow-crawl” without assistance from its designers) should add another level of difficulty and intrigue to 2019’s Hyperloop competition. Critically, returning teams – if accepted – will be required to significantly modify their existing pod or design a new pod if they wish to compete in 2019.
Catch SpaceX’s 2018 Competition below and visit SpaceX.com/Hyperloop in the event that you are a student, have a team, and want to build your very own super-fast Hyperloop pod.
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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
