News
NASA to roll SLS Moon rocket to the launch pad two days early
NASA has given the go-ahead to roll its Space Launch System (SLS) Moon rocket to the launch pad two days ahead of schedule.
That bodes well for plans to launch the rocket for the first time (a milestone NASA originally hoped to pass in December 2016) as early as late August or September 2022. NASA says that its first SLS rocket is now on track to begin a roughly 24-hour journey to Kennedy Space Center’s LC-39B launch pad at 9 pm EDT on August 16th. That will kick off approximately two more weeks of work that could finally culminate in the rocket’s first real launch attempt as early as August 29th, a moment anywhere from 12 to 16 years in the making.
SLS was created by Congress in 2010 when the legislative body drafted a law demanding that NASA develop a heavy-lift rocket to replace the Space Shuttle. In practice, Congress (particularly several key stakeholders with former Shuttle workforce and facilities in their states or districts) was primarily interested in keeping former Shuttle infrastructure active and workers employed, and left NASA to figure out how to retroactively engineer a rocket out of a list of legal requirements mostly driven by politics.
NASA ultimately devised a rocket that would extrapolate Shuttle external tank technology into a larger liquid hydrogen/oxygen ‘core stage’ powered by four flight-proven, reusable Space Shuttle Main Engines (SSME; now RS-25). A relatively small orbital upper stage derived from Boeing’s Delta IV rocket would sit atop the core stage, which would be augmented with two stretched Shuttle-derived solid rocket boosters (SRBs). Altogether, the first variant of SLS – Block 1 – is expected to be able to launch up to 95 tons (~210,000 lb) to low Earth orbit and around 27 tons (~59,500 lb) to the Moon, 32% and 38% worse than the Saturn V rocket NASA abandoned for the Space Shuttle in the 1970s.


Nevertheless, SLS will likely become the most powerful rocket currently in operation if it successfully debuts within the next few months. Only SpaceX’s Starship, which will eventually launch a Starship-derived Moon lander for NASA, is likely to challenge or beat the performance of SLS within the next 5-10 years.
However, after more than half a decade of delays and around $25 billion spent without a single launch to show for its investment, NASA no longer has any near-term plans to use SLS for more than sending a few astronauts on their way to the Moon once every year or two. The only tangible payload currently assigned to SLS Block 1 is NASA’s own Orion spacecraft, an earlier version of which Lockheed Martin began developing for NASA in 2006. Approximately 16 years and $25 billion later, the Orion capsule will be better than the Apollo Program’s Command module (capsule) by most measures, but its service (propulsion) module will be far worse.

With about half as much usable delta V (propulsive capability) as the Apollo CSM, Orion is incapable of transporting astronauts to the same convenient low lunar orbits that the Apollo Program used, forcing NASA to send it to high, exotic alternatives. As a result, NASA has been forced to create a multi-billion-dollar destination for Orion (the Gateway station) and complicate the mission of new Moon landers like SpaceX’s Starship.
Countless pitfalls and shortcomings aside, NASA is about to finally roll the fourth most capable flightworthy rocket ever assembled (behind Saturn V, N-1, and Energia) to the launch pad. Regardless of the outcome of the mission, SLS will likely be the fifth largest rocket (including the Space Shuttle) ever launched when it lifts off. If that launch is successful, the achievement will be even more impressive, marking the third time out of three attempts that NASA has successfully launched a super heavy-lift launch vehicle (>50t to LEO) on its first try.

A successful Artemis I launch would also give the Orion spacecraft an opportunity to enter orbit around the Moon and test most of the systems it will need for Artemis II, which is intended to carry two astronauts. Orion won’t carry or test any life support or docking systems, making it only a partial demonstration, but it will still be the first time a prototype of a crewed spacecraft has attempted to enter lunar orbit since December 1972.
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.

