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First living tissue 3D printed in space aboard International Space Station

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Using the “Organaut”, a 3D bioprinter designed for microgravity, Russia has become the first country to print living tissue in space. After a December 3rd cargo delivery to the International Space Station (ISS), cosmonaut Oleg Kononenko completed an experiment with the machine in the Russian sector of the station, successfully producing human cartilage tissue and a rodent thyroid gland. The Organaut was designed via a collaboration with the printer’s maker, 3D Bioprinting Solutions, and Russia’s national space agency, Roscosmos. The United States also has its own bioprinting mission scheduled for the first half of 2019, joining in the march to develop biological solutions for problems that space is well suited to solve.

A 3D bioprinter operates by creating one layer at a time of specified tissue or stem cell material arranged as needed to grow and form as biologically programmed to do. As summarized by Aryeh Batt, the CEO of Precise Bio, a company dedicated to 3D printed bioproducts for human eyes, “Essentially, the biology does the work, but you have to put them in the correct environment to make it happen.” In the case of Organaut, an internal robotic mechanism drips living cell fabric layers from an automatic syringe. When living tissue is bioprinted under Earth’s gravity, the artificial cells grow in a flatter structure than their natural state in the human body. In microgravity, however, they form a shape closer to their normal dimensions.

Along with demonstrating the growth advantages of microgravity, Organaut’s tissue samples will provide the ability to study the effect of radiation on the body. “We will look at how the constructs came together, and how they behaved,” confirmed Usef Hesuani, head of laboratory projects and a managing partner of 3D Bioprinting Solutions in a recent press conference. The original Organaut printer was aboard the Soyuz MS-10 spacecraft which experienced an launch failure on October 11, 2018, forcing the U.S. and Russian crew to make an emergency landing. A second one was quickly put together for the subsequent mission.

The Organaut bioprinter, designed to print biological material in zero gravity conditions. | Credit: 3D Bioprinting Solutions

The parent company of 3D Bioprinting Solutions is INVITRO, the largest private medical company in Russia. Founded in 1995 by Aleksandr Ostrovsky, it has 8 laboratories and over 1000 medical offices in eastern Europe, but is primarily based in Skolkovo, a high technology business area in Moscow. Bioprinting Solutions made headlines in 2015 when it printed and transplanted a functioning mouse thyroid gland. The experiment performed aboard the ISS with Organaut was a modified version of their prior work.

Unlike NASA, Roscosmos does not generally partner with private companies for its research endeavors. In an effort to inspire Russian students to enter STEM fields within their country, the agency sought to spotlight the developing bioprinting industry by using the Organaut. The successful partnership with 3D Bioprinting Solutions has now motivated the agency to continue partnering with private companies in the future. The company itself also sees advantages to collaborations of its own with other Skolkova-area manufacturers. “We have companies that are making satellite platforms…it is possible to conduct a similar experiment amid microgravity on small spacecraft [like satellites]…smaller and cheaper,” noted Ivan Kosenkov, 3D Bioprinting Solutions’ project manager.

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Organaut’s printed tissues were returned to Earth with the Soyuz MS-09 spacecraft on December 20th, and the results of the experiment are expected to be published at the end of January 2019. In February, NASA plans to send a bioprinter capable of producing beating heart tissue to the ISS. Named the 3D BioFabrication Facility (BFF), the machine was developed through a partnership with two companies well-established in 3D printing and on-orbit hardware, nScrypt and Techshot. Since the thickness of heart tissue is difficult to build under gravity without structural assistance that could impede functionality, the companies developed the BFF with the hypothesis that microgravity would overcome this limitation. Thus far, the concept has been proven during parabolic flight tests, i.e., aboard the “Vomit Comet” airplane that performs multiple parabolic maneuvers in an airliner to create 20-30 seconds of weightlessness each.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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