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SpaceX has finally set the date for Crew Dragon's In-Flight Abort test. (Teslarati - Pauline Acalin) SpaceX has finally set the date for Crew Dragon's In-Flight Abort test. (Teslarati - Pauline Acalin)

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SpaceX Crew Dragon In-Flight Abort test gets its first firm launch date

SpaceX has finally set the date for Crew Dragon's In-Flight Abort test. (Teslarati - Pauline Acalin)

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The day after questions arose around the targeted launch date of SpaceX’s Crew Dragon In-Flight Abort test (IFA), SpaceX and NASA have officially set the date for the spacecraft’s next major flight test.

On Friday, December 6th, a NASA Commercial Crew Program blog post confirmed a NET date of Saturday, January 4th, 2020 for the IFA test. The IFA test is one of the most notable final steps to be completed by the Crew Dragon capsule prior to supporting crewed astronaut flight to the International Space Station in 2020 as a part of NASA’s Commercial Crew Program.

Following an apparent incorrect statement made during SpaceX’s CRS-19 webcast that identified a February 2020 target date of the IFA test, SpaceX provided re-assurance that teams were very much still working toward a NET December launch date.

The SpaceX Falcon 9 rocket with the company’s Crew Dragon spacecraft onboard is seen on the launch pad at Launch Complex 39A as preparations continue for the Demo-1 mission, Friday, March 1, 2019 at the Kennedy Space Center in Florida. (NASA/Joel Kowsky)

A January 4th date falls just short of SpaceX’s December goal but it still comes as little surprise. In addition to this week’s CRS-19 launch, SpaceX aims to support two more launches prior to year’s end – an internal mission to launch 60 more Starlink satellites and the launch of the JCSAT 18/Kacific 1 communications satellite for customers SKY Perfect JSAT Corp. of Japan and Kacific Broadband Satellites of Singapore. While completing four Falcon 9 launches and landings in a period of less than four weeks is certainly possible for SpaceX, it was rather ambitious, especially given that Crew Dragon’s abort test is almost certainly the company’s preeminent priority.

The targeted January launch date now encroaches into the first quarter of 2020, which SpaceX has adamantly stated is also the goal for Crew Dragon’s first NASA astronaut launch, known as Demo-2. With the IFA test now NET January 4th, it will be a major challenge for NASA and SpaceX to turn around and prepare Crew Dragon and Falcon 9 for Demo-2 just 4-12 weeks later. Of note, Boeing is preparing its own Starliner spacecraft for an uncrewed launch test NET December 20th and has also claimed that it wants to launch a crewed flight test (CFT, akin to SpaceX Demo-2) as early as February 2020, same as SpaceX.

It’s extremely unlikely that NASA will be able to preserve both of those schedules given the Commercial Crew Program’s fixed workforce and the vast quantity of paperwork it must complete before the agency can give the go-ahead for SpaceX and Boeing astronaut launches.

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(Pauline Acalin)
Crew Dragon lifts off atop Falcon 9 B1051 for the first time ever on March 2nd, 2019. (Teslarati – Pauline Acalin)

Unsurprisingly, the blog post confirmed that the IFA test would launch from Kennedy Space Center Launch Complex 39A (LC-39A). Pad 39A is the same facility that previously supported Crew Dragon’s March 2019 Demo-1 launch debut and is the only pad SpaceX intends to launch Crew Dragon from.

Interestingly, Pad 39A is also an active construction site – SpaceX is in the midst of building a new launch mount and modifying existing facilities to support future launches of SpaceX’s next-generation Starship vehicle. Construction has been underway for a few months and is situated directly beside Falcon 9 and Falcon Heavy’s exiting launch mount.

Although that construction will not be allowed to interfere with Crew Dragon launch activity, including the IFA test, construction on the Starship mount will likely be impacted. Construction crews will undoubtedly be expected to evacuate the area surrounding the launchpad during any Falcon 9 static fire test or launch, likely translating to a few days to a few weeks of downtime depending on how SpaceX handles the scheduling.

As 2019 comes to a close, SpaceX remains determined to launch Crew Dragon’s IFA test as quickly as is safely possible. If all goes perfectly during the upcoming abort test, SpaceX says it is seriously targeting Crew Dragon’s biggest test yet – its inaugural astronaut launch – less than two months later in February 2020. It should go without saying that that schedule is incredibly ambitious and highly liable to slip in March or Q2, but if the ambition is there, SpaceX believes it is technically possible.

For now, we have less than a month to wait for Crew Dragon’s next launch milestone and perhaps just 2-3 weeks before the spacecraft and its Falcon 9 rocket roll out to Pad 39A to prepare for a routine static fire test.

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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.

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tesla interior operating on full self driving
Credit: TESLARATI

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.

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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.

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Credit: Elon Musk | X

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.

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.

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.

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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.

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tesla diner
Credit: Tesla

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.

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.

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