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SpaceX to launch quartet of mini geostationary satellites in 2023
Startup Astranis has purchased a dedicated Falcon 9 launch from SpaceX for four miniature geostationary communications satellites.
Known as MicroGEO, the comparatively tiny satellites Astranis is building aim to offer prospective customers an alternative to the immense, expensive satellites that dominate modern geostationary (GEO) communications. Where those flagship satellites tend to weigh anywhere from three to seven metric tons (~6,500-15,500 lb) at liftoff, MicroGEO satellites will weigh around 400 kilograms (~900 lb) – at least a magnitude lighter. Astranis also believes it will be able to eke out about 10 gigabits per second (Gbps) of bandwidth from each tiny satellite, giving them a level of performance that could actually be proportionally comparable to or greater than much larger satellites.
While it’s not clear that Astranis is actually selling its MicroGEOs for “1/20th the cost of traditional GEO communications satellites,” as they claim, the startup has found plenty of customers.
As of March 2022, Astranis has secured contracts to build 11 MicroGEO satellites for a range of customers: one for Alaska’s Pacific Dataport, eight for in-flight and at-sea connectivity provider Anuvu, and one or two for Peru’s Grupo Andesat. Astranis says its deal to launch one satellite for Andesat – with an option for a second – is worth more than $90 million. At that price tag, MicroGEO might cost about half as much as a more traditional entry-level GEO satellite but will only offer 10 Gbps for the money. For twice the price, a prospective customer could easily buy a satellite with at least five to ten times the throughput.
In that sense, MicroGEOs are actually more expensive relative to the performance they offer. Their main benefits appear to be a lower cost of entry, significantly lower launch costs, and the ability to dedicate a whole satellite to a relatively small region or niche service. In that sense, MicroGEO’s draw might be comparable to the reason some launch customers prefer a more expensive dedicated launch on a small rocket over a much cheaper launch as one of many rideshare payloads on a large rocket. For that premium, dedicated launch customers don’t have to worry about the logistics of juggling dozens of other satellites, the risk of related launch delays, or the general need to compromise with other passengers.
While MicroGEO satellite might be significantly less cost-efficient than larger alternatives, smaller customers may find paying a premium preferable to having to find or compromise with other customers to avoid wasting any leftover bandwidth. Additionally, in some unique situations, dedicated MicroGEO satellites may actually be several times cheaper for customers. CEO John Gedmark says that for Peru’s Andesat, MicroGEO offers a “factor of three or a factor of four cost decrease…compared to what they’re paying today [to lease less capacity on existing satellites].”
It’s clear that Astranis’ customers see significant value in MicroGEO. On top of Astranis’ current backlog, Gedmark recently revealed that the company is working on deals for “dozens” of additional satellites and believes that “there will be more than 100 Astranis satellites in active service” by 2030. That means that Astranis’ unique Falcon 9 contract is likely to be the first of many. For perhaps as little as $50 million, a SpaceX Falcon 9 rocket will launch four MicroGEO satellites at once. The relatively tiny payload – likely less than two tons (~4400 lb) – will allow Falcon 9 to launch into a more energetic geostationary transfer orbit (GTO), significantly reducing the amount of time the MicroGEOs will need to reach operational orbits.
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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
