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NASA is crashing a satellite into an asteroid to gather data about asteroid deflection
The threat of asteroids crashing into Earth isn’t a new concern. We’ve been warned about it by science fiction authors and Hollywood alike, and any kid that’s ever paid attention to dinosaurs in school knows there are bad outcomes when life and chunks of space rock meet up. The space agencies of Europe and the United States are not blind to the threat, thankfully, and they have a multi-part satellite mission in the works directed to gathering real data on how to redirect an asteroid with bad intentions for our planet, i.e., is on a collision course. Specifically, they’re planning on crashing one satellite into an asteroid and studying the effect with another satellite run by the European Space Agency (ESA).
NASA’s part of the mission is called the Double Asteroid Redirection Test (DART), and it will serve as the first demonstration of changing asteroid motion in space. The launch window begins in late December 2020, most likely on track for June 2021, for arrival at its targeted asteroid, Didymos, in early October 2022. Didymos is Greek for “twin”, the name being chosen because it’s a binary system with two bodies: Didymos the asteroid, about a half mile across, and Didymoon the moonlet, about 530 feet across, acting as a moonlet. The two currently have a Sun-centric orbit and will have a distant approach to Earth around the same time as DART’s launch window and then again in 2024.
After reaching the asteroid, DART will enter orbit around Didymoon, and crash into it at a speed of about 4 mi/s (nine times faster than a bullet) to change its speed by a fraction of one percent, an amount measurable by Earth-based telescopes for easy study. Unsurprisingly, the preferred description is “kinetic impact technique” rather than “crash” – maybe even “impact” or “strike”, if we’re avoiding terms that sound random or accidental. The mission is being led by the Johns Hopkins Applied Physics Laboratory (JHU/APL) and managed by the Planetary Missions Program Office at Marshall Space Flight Center in Alabama for NASA’s Planetary Defense Coordination Office.
NASA’s DART mission is one of two parts of an overall mission dubbed AIDA (Asteroid Impact & Deflection Assessment). Joining the agency’s Earth-protection venture is the ESA with its Hera spacecraft, named after the Greek goddess of marriage, a probe that will follow up DART’s mission with a detailed survey of the asteroid’s response to the impact. Collected data will help formulate planetary defense plans by providing detailed analysis from DART’s real-time asteroid deflection experiment. Its launch is scheduled for 2023.
Just this month, another part was added to Hera’s mission: CubeSats. This class of tiny satellites is about the size of a briefcase, and they recently made their deep space debut during NASA’s Mars InSight landing. During that mission, twin CubeSats collectively named MarCO followed along on the journey to Mars behind InSight, eventually relaying data during the landing event back to NASA’s Mission Control along with a photo of the red planet. ESA’s CubeSats, named APEX (Asteroid Prospection Explorer) and Juventas, will travel inside Hera, gather data on Didymos and its moonlet, and then both will land on their respective rocks and provide imaging from the surface.
Just to recap: Tiny satellites in a class that students and startups can and have developed and launched will travel into deep space and land on asteroids. This is big news for the democratization of space travel. As emphasized by Paolo Martino, Hera’s lead engineer in ESA’s article announcing the CubeSat mission, “The idea of building CubeSats for deep space is relatively new, but was recently validated by NASA’s InSight landing on Mars last November.”
Using kinetic energy – pure ram/crash force – isn’t the only option NASA is looking at for defending Earth from incoming asteroids. A “gravity tractor” concept would orbit a craft in a way that would change the trajectory due to gravitational tugging. Similar to how our moon has an impact on our tides or the Earth makes the Sun wobble ever so slightly, a satellite orbiting an asteroid would give pushes and pulls to set its course elsewhere.
Unfortunately, a gravity tractor likely wouldn’t be very effective for asteroids large enough to seriously threaten our planet. Also, the techniques for achieving it would require decades to develop and test in space. Laser ablation, or using spacecraft lasers to vaporize asteroid rock to change an asteroid’s course, is another technique NASA has considered, but it might be just as feasible or cost-effective to simply launch projectiles to achieve the same purpose.
Watch the below video for a visual overview of the DART and HERA missions:
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, 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 let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
