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Rocket Lab channels SpaceX-like rapid launch capability in July 4 Electron mission
The prominent launcher of dedicated small satellite launches, Rocket Lab, looks to achieve SpaceX-like rapid launch capability of its Electron rocket. The company is targeting its shortest turn around time between missions from the same launch pad. Just three weeks ago, Rocket Lab returned to operational launch status following the easement of Covid-19 restrictions at the company’s Launch Complex 1 in Mahia, New Zealand. The Electron rocket completed its twelfth mission nicknamed “Don’t Stop Me Now” which supported a rideshare payload of five smallsats to orbit. Now, Rocket Lab is ready for its third mission of 2020 – the second in just three weeks – with Electron’s thirteenth mission “Pics Or It Didn’t Happen.”
The launch window for #PicsOrItDidntHappen opens on 3 July UTC. Lift-off will take place from Rocket Lab Launch Complex 1 Pad A on the Mahia Peninsula. pic.twitter.com/01sDCXVj03
— Rocket Lab (@RocketLab) June 15, 2020
Rideshare mission of space cameras
The “Pics Or It Didn’t Happen” mission features a rideshare manifest consisting of seven small satellite payloads for customers Planet, In-Space Missions, and rideshare and mission manager Spaceflight Inc.’s customer Canon Electronics. The majority of payloads are Earth-imaging satellites inspiring the “Pics Or It Didn’t Happen” mission nickname. The primary payload, Canon Electronics Inc.’s CE-SAT-IB microsatellite, will demonstrate the company’s high definition and wide-angle Earth-imaging capabilities and will serve as a testbed for future opportunities of mass production. Also aboard Electron is five of Planet’s latest generation SuperDove (Flock4e) Earth-observation satellites equipped with new sensors to produce higher quality images of Earth’s landmass on a near-daily basis. The UK enterprise In Space Missions provides the final payload with its maiden Faraday-1 6U CubeSat. According to In Space Missions, Faraday-1 is “the first in a series of satellites that will provide a turnkey service for commercial customers and research organizations wanting to access to space at a competitive and affordable cost.” Currently, In Space Missions has four more satellites under contract with the Faraday service.
Rocket Lab’s carbon composite Electron booster propelled by nine 3D-printed Rutherford sea-level engines capable of 36,000lbf (162kN) of thrust will send all payloads to a 500km sun-synchronous low Earth orbit at an inclination of 97.5 degrees.
It's almost time to go to space! Today's mission will see seven small sats launched to a 500 km circular orbit for @SpaceflightInc customer @Canon, as well as small sat operators @planetlabs and @Heads_InSpace. pic.twitter.com/mMKENVBeLa
— Rocket Lab (@RocketLab) July 4, 2020
Rapid launch capability within reach
According to Rocket Lab, a new Electron booster is produced in-house approximately every eighteen days at its production facility in Auckland, New Zeland. While Electron currently only launches from Launch Complex 1 on New Zeland’s Mahia Peninsula, Rocket Lab looks to further open small satellite access to orbit and expand its launching capabilities with two more operational launch complexes targeted to begin service later this year. The Mahia Peninsula location has recently undergone expansion, adding the neighboring Launch Complex 1B while a third launch location, Launch Complex 2, has been opened at the Mid-Atlantic Regional Spaceport in Wallops Island, Virginia.
Lots of launch pads, we got ‘em. Electron is on the pad at LC-1A this week with a front row view of construction progress on LC-1B. pic.twitter.com/ijZAVRc6yV
— Rocket Lab (@RocketLab) July 1, 2020
Rocket Lab Founder and CEO, Peter Beck, states that multiple launch locations “enables our small sat operators to do more, spend less, and get to orbit faster” and that “Rocket Lab has eliminated the small sat waiting room for orbit. We’ve focused heavily on shoring up our rapid launch capability in recent years and we’re proud to be putting that into practice for the small sat community with launches just days apart.”
The rocket backlog. pic.twitter.com/AhHlbNvEmq
— Peter Beck (@Peter_J_Beck) May 15, 2020
With an expansive backlog of Electron boosters, Rutherford engines, and the capability to soon launch missions back-to-back from neighboring launchpads Rocket Lab aims to break into the market of rapid launch capability joining the likes of SpaceX and its Falcon 9 rocket which has launched 91 times (89 times successfully) since 2010. The company also looks to break into the booster recovery market also pioneered by SpaceX.
Earlier this year, Rocket Lab completed a successful mid-air recovery demonstration of a parachute equipped test article with a helicopter and a specially designed grappling hook. Beck recently revealed on Twitter that Rocket Lab is targeting the seventeenth flight of the Electron to debut fully operational recovery efforts of the first stage booster to occur at some point before year’s end.
The “Pics Or It Didn’t Happen” mission previously scheduled for July 3rd, moved to July 5th, then pushed up to July 4th is now targeting liftoff NET 21:19 UTC/5:19 pm EDT from LC-1 in New Zealand taking advantage of more favorable launch weather conditions. Rocket Lab has stated on Twitter, however, that there is a “relatively high chance” of the launch attempt scrubbing to a later date as the possibility of high ground winds still persists. Should they be needed, backup launch opportunities extend through July 16th.
The “Pics Or It Didn’t Happen” Electron and payload are currently vertical at LC-1 ahead of the launch attempt. A Livestream of the effort will be made available approximately fifteen minutes ahead of liftoff posted to the company’s social media accounts and available on the company’s website: www.rocketlabusa.com/live-stream.
News
Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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.
News
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.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
