News
SpaceX’s high-altitude Starship launch debut unlikely before Crew-1
Update: SpaceX canceled its November 5th and 6th Starship SN8 static fire test windows on Thursday, delaying the next Starship test window to November 9th unless additional testing is scheduled on the 7th and 8th.
As previously discussed, SpaceX requested three road closures for “Starship SN8 Static Fire and 15KM Flight” attempts on November 9th, 10th, and 11th on Wednesday. With recent cancellations, NASASpaceflight reporter Michael Baylor says that the odds that Starship SN8 will be ready to fly before SpaceX’s Crew-1 operational NASA astronaut launch debut (NET November 14th) are now minuscule, further indicating that each of the three upcoming test windows will be dedicated to one or more Raptor static fires.
Stay tuned for updates as SpaceX continues to prepare Starship for its most ambitious, challenging, and risky test yet.
In the form of road closure filings, SpaceX has effectively announced the first possible dates for Starship’s high-altitude launch debut, a high-risk test that CEO Elon Musk recently made clear could fail.
Per road closures published on SpaceX’s dedicated Cameron County, Texas page, Starship serial number 8 (SN8) could apparently be ready for its historic launch debut as soon as November 9th in a 12-hour window that opens at 9am CST (15:00 UTC). Identical 9am-9pm windows on November 10th and 11th will serve as backups in the event of one or several launch aborts or delays – fairly likely for a prototype as complex as Starship SN8.
However, several tests stand between SN8 and flight-readiness, further increasing the odds of delays as SpaceX continues to work out the kinks in what amounts to the first fully-assembly, functional Starship.
Musk has already stated that Starship SN8 will need to complete another Raptor static fire test – potentially with one, two, or three engines – before SpaceX will consider the rocket ready for its flight debut. Over the last few days, NASASpaceflight.com reporter Michael Baylor has noted on livestreams that multiple more static fire tests are actually in order before SpaceX will attempt to launch Starship SN8. It’s currently unclear what the purpose of those additional static fire tests is, given that SN8 has already completed a triple-engine Raptor static fire.
In the two weeks since that milestone, however, SpaceX did take a major step forward, mating Starship SN8’s nose section to create what is effectively the first full-scale, functional prototype. Aside from two smaller forward flaps and attitude control system (ACS) cold gas thrusters, that nose section also contains a small secondary liquid oxygen tank known as a header tank – meant to store a small amount of highly pressurized propellant to be used during Raptor reentry and landing burns. Several months back, Musk revealed that Starship SN4 completed a static fire while only feeding on fuel (liquid methane) stored in the rocket’s methane header tank, making it reasonable to assume that SpaceX wants to repeat a similar test with SN8 while using both fuel and oxidizer header tanks.
For Starship SN8, those header tanks will be an irreplaceable necessity during the rocket’s first attempted launch, free-fall, flip maneuver, and landing. In a clear sign of preparation for a header-tank-only static fire test, SpaceX appeared to successfully complete a cryogenic proof of Starship SN8’s newly-installed nose section and nose (LOx) header tank on November 3rd, verifying that liquid nitrogen – standing in for LOx – can be pumped more than 50 meters (~165 ft) from Starship’s launch mount to the tip of its nose to load said tank.


SpaceX has one more “SN8 nose cone cryo proof” test window scheduled from 8am to 5pm CST Thursday, November 5th that could be used for one or more of those expected static fire tests. Otherwise, SpaceX’s Starship SN18 15 km (~50,000 ft) launch closures were technically filed for an “SN8 Static Fire and 15 KM Flight,” allowing SpaceX to perform one or several static fires before attempting to launch. All things considered, the odds that Starship SN8 will launch on time between November 9th and 11th are probably less than 50:50, but there is definitely a chance.
Elon Musk
Tesla AI boss reveals how big Optimus is going to get
Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.
Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”
The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.
The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.
Correction, 10 million robots https://t.co/0z4nyQNTzp
— Ashok Elluswamy (@aelluswamy) July 30, 2026
Tesla Optimus project fires up as Musk sees production line progress
Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.
Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.
News
Autonomous vehicle red tape gets slashed by Trump Administration
The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk
Elon Musk has a crazy prediction about AI in two years
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

