Connect with us

News

SpaceX Falcon Heavy goes vertical with Musk’s Tesla as launch nears

Falcon Heavy is vertical at Pad 39A for the first time ever (Richard Angle)

Published

on

After approximately half a decade of concerted and less-than-patient waiting, long-time followers of SpaceX have, for the first time ever, seen SpaceX’s first completed Falcon Heavy rocket roll out to the launch pad and go vertical at the same complex that hosted every single Apollo moon landing, LC-39A.

This is a historic moment in SpaceX’s history, even if it culminates in nothing more than a quiet rollout and roll-back to the historic pad’s integration facilities. For at least several years, it has been a running (lighthearted) joke within the fan community that Falcon Heavy is permanently six months away from launch. Outside of the rocket company’s supporters, however, that fan humor gained a heavier tinge, and Falcon Heavy essentially became the strawman with which SpaceX detractors could ream the company’s greater (and even relatively minor) ambitions as over-promised, unrealistic dreams to one day also become permanently delayed. While seasoned spaceflight journalists rarely partook in the Falcon Heavy bashing, pop journalism and the titans of the global launch industry certainly took advantage of the apparent weakness as the preeminent example of SpaceX’s tendency towards delays. Even SpaceX’s conservative supporters understandably saw the significance when two customers ultimately chose to move their payloads elsewhere due to Falcon Heavy’s relentless delays.

However, the reality was rather clear to those that followed the agile launch company and paid attention to the statements of its executive management, including CEO Elon Musk. Ultimately, Falcon Heavy was not a priority and was only ever going to capitalize upon a minority of the satellite launch industry, given the rarity of satellites heavy enough to need the massive vehicle. While Falcon Heavy would undoubtedly be invaluable for SpaceX’s grander ambitions of interplanetary exploration and transport, those ambitions simply did not compare in importance to solving Falcon 9 design and supply chain issues that caused the failures of CRS-7 and Amos-6. Nor were they more crucial than the launch company’s need for a stable cadre of trusting customers, simply upgrading the already-operational Falcon 9, or the perfection of first stage reusability – all of which would explicitly impact the utility of Falcon Heavy.

Advertisement
-->

A panorama of LC-39A from late-November. Falcon Heavy will likely launch from this pad in January 2018. (Tom Cross/Teslarati)

SpaceX’s official July 2017 confirmation that Red Dragon had been cancelled further guaranteed that Falcon Heavy would only ever be a niche product, maybe even little more than a symbolic stopgap to fill a tiny industry niche and soothe delay-stricken nerves. SpaceX does have at least a handful of Falcon Heavy customers still hopefully awaiting its operational status, but it is quite clear that the company sees its value most as a method of both reassuring the world that its infamous delays are only temporary, as well as relatively economically fueling the development of a reusable super-heavy launch vehicle, expertise that would inevitably benefit the Mars-focused BFR as it too begins development. At a minimum, it will provide SpaceX’s launch, design, and manufacturing experts a sort of base of knowledge about building and operating rockets with ~30 or more first stage engines – the 2017 iteration of BFR is likely to sport 31. It’s also possible that Falcon Heavy could provide the margins necessary to allow SpaceX to attempt recoveries of Falcon’s second stage, a purely experimental effort that would feed directly into the development of the fully-reusable BFR upper stage the company hopes to build, BFS.

Thus, while Falcon Heavy’s inaugural launch may not be explicitly important to SpaceX’s near-term business strategy, it will in almost every way mark one of its first tailor-made steps towards Mars, perhaps both literally and figuratively. Rather humorously, SpaceX (or Elon Musk … probably just Elon Musk) has chosen to replace the boilerplate mass simulator often flown as a payload for inaugural launches of most launch vehicles (Falcon 9 included) with a rather unique mass simulator: Musk’s own first-generation Tesla Roadster. While it has yet to be specified what the specific destination of the second stage and Roadster are, nor what – if any – functional payload is to be included, Musk did suggest that the destination would be a “billion-year Mars orbit.” The nitpick here is hugely significant, as ‘simply’ launching the Roadster into a solar orbit at a similar distance to Mars (still an impressive accomplishment) would be decidedly less impressive than actually injecting the Roadster into orbit around Mars. Pictures released by SpaceX show no additional boost stages attached to the Roadster, so a Martian orbit would require Falcon Heavy’s second stage to coast in deep space for several months while generating enough power to prevent its propellant from freezing and maintain contact with ground control, especially in the rather likely event that SpaceX (and Musk) hope to acquire some rather absurd and iconic images from the inaugural launch and its space travels.

 

History and symbolism aside, it can now be said with utter certainty that Falcon Heavy is very real and is likely to launch very soon. The vehicle’s first-ever integrated rollout to Pad 39A is almost certainly intended only for “fit-checks,” a verification that the pad and brand new vehicle are meshing well together, but it is still the first time in the company’s history that FH visibly exists, and there can be little doubt that the photo opportunity was not taken advantage of. After fit checks are performed, likely over the course of a day or two, Falcon Heavy will be most likely be brought horizontal and rolled back into 39A’s integration facilities, where it will be prepared for its first full-up wet dress rehearsal (WDR) and static fire, possibly including the cautionary removal of the second stage and Roadster payload. Because the vehicle is inherently new, as are many of the upgraded ground systems needed to support it, bugs are highly probable along the road to launch. However, if the first WDR and static fire go precisely as planned, the first launch attempt can be expected to occur about a week later – maybe sooner, maybe later.

All things considered, SpaceX is clearly moving full speed ahead with Falcon Heavy’s launch preparations, and it seems highly probable that the company’s schedule will allow for January launch, even if minor issues mean that multiple WDRs or static fires are required. Elon Musk certainly hedged his bets earlier this summer by aggressively inflating the probability that Falcon Heavy fails on its launch pad, famously stating that a success in his eyes would be the vehicle clearing the pad without destroying LC-39A. In reality, SpaceX would not in a million years haphazardly risk the destruction of Pad 39A, and the company is almost certainly quite confident that the pad is at most marginally at risk of severe damage. One thing that Musk cannot be criticized for is the argument that one way or another, Falcon Heavy’s inaugural launch will be a sight to behold. While the payload may indeed be heading to or towards Mars, SpaceX still plans to attempt recovery of all three of Falcon Heavy’s first stages: both side cores are expected to land almost simultaneously at LZ-1’s two landing pads, while the center booster will follow a parabola out into the Atlantic for a landing aboard the droneship Of Course I Still Love You, truly a spectacle to behold regardless of success or failure.

Follow along live on Twitter and Instagram as our launch photographer Tom Cross documents Falcon Heavy’s last steps along its journey to first flight, as well as Falcon 9’s imminent launch of the mysterious Zuma payload, currently NET January 4.

Cover photo courtesy of spaceflight fan and photographer Richard Angle. Follow him on Instagram at @rdanglephoto!

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

Advertisement
Comments

News

NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.

Published

on

Credit: Grok Imagine

NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”

Jim Fan’s hands-on FSD v14 impressions

Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14

“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X. 

Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”

Advertisement
-->

The Physical Turing Test

The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning. 

This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.

Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.

Continue Reading

News

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. 

Published

on

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

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.”

Advertisement
-->

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. 

Continue Reading