News
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
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
