News
SpaceX Dragon returns astronauts to Earth after record-breaking spaceflight
After spending almost 200 days in orbit, a SpaceX Crew Dragon spacecraft has successfully returned four international Crew-2 astronauts to Earth, marking major firsts both for the company and NASA.
Launched on April 23rd, 2021, NASA astronauts Shane Kimbrough and Megan McArthur, ESA astronaut Thomas Pesquet, and JAXA astronaut Akihiko Hoshide are now safely back on Earth, marking the successful end of their Crew-2 mission. Unusually, due to poor weather conditions, Crew-2 has returned to Earth before their Crew-3 counterparts and replacements were able to join them at the International Space Station (ISS) and are now scheduled to fill the void left behind no earlier than November 11th after a launch late on November 10th.
Crew-2’s near-flawless undocking, reentry, descent, and splashdown should nevertheless add no additional risk of delay.
For a number of reasons, Crew-2’s safe recovery is a major milestone for SpaceX and spaceflight in general. Most notably, following flight-proven Crew Dragon C206’s flawless second launch earlier this year, Crew-2 is officially the first time an orbital space capsule has twice safely carried humans to and from orbit – and after spending longer in space than any other US crewed spacecraft in history. While there was little reason for doubt, Dragon’s first successful ‘reused’ recovery is nevertheless an absolutely essential and historic milestone for SpaceX, a company that one day aims to routinely launch and land dozens of people at a time on Earth and other planets.
NASA – through its Space Shuttle program – is the only other entity in history to successfully launch and reuse a crewed orbital spacecraft, making SpaceX the second member of perhaps the most exclusive club in all of spaceflight.
Unexpectedly, despite indications from NASA in a recent prelaunch press conference that the maneuver would be skipped to increase schedule flexibility, Crew-2’s Dragon spacecraft ultimately performed the first US space station ‘flyaround’ maneuver in a decade. Astronaut Thomas Pesquet – rapidly becoming one of the best astronaut photographers in recent memory – took the opportunity to capture a number of photos of the ISS. NASA isn’t looking for anything in particular in those photos but they will still assuredly be useful for station engineers.
While numerically flawless, during Crew Dragon C206’s second descent, one of its four main parachutes lagged behind the other three during a process known as parachute inflation. Associate Administrator Kathy Lueders noted the odd appearance of the chute – which eventually expanded to its proper size – in comments shortly after crew egress but she confirmed that Dragon’s descent rate was nominal, meaning that the apparent nonconformance had zero impact on Dragon’s recovery and splashdown. The chute behavior – and Crew-2 recovery performance in general – will be reviewed in Crew-3’s launch readiness review (LRR) as early as November 9th.
SpaceX’s recovery team continues to refine Crew Dragon recovery procedures and Crew-2 certainly continued that trend. An hour and fifteen minutes after the spacecraft was in orbit and traveling seven kilometers (4.5 mi) per second and less than an hour after splashdown, all four Crew-2 astronauts were safely removed from Dragon and moved to medical facilities. All four will now be prepared to return by helicopter to dedicated facilities on land.
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.
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.
News
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
