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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:
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
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
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:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
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.
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.
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.
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:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
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.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
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:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
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:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
