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SpaceX Falcon Heavy payload arrives in Florida for the first time in years
For the first time in almost three years, a spacecraft meant to launch on SpaceX’s Falcon Heavy rocket has arrived in Cape Canaveral, Florida and begun to prepare for flight.
Known as Psyche, the scientific mission is designed to venture hundreds of millions of miles from Earth to explore a namesake asteroid that’s believed to be almost entirely metallic. Psyche will also mark NASA’s first operational use of Falcon Heavy, which offers performance far superior to other existing and soon-to-be-retired rockets and at a fraction of their cost.
However, even though Psyche is now the first payload (officially confirmed) to have arrived in Florida for a Falcon Heavy launch since May or June 2019, that doesn’t guarantee that it will be first to launch.
That uncertainty is the result of multiple chronically delayed US military payloads that were both supposed to launch on different Falcon Heavy rockets as early as late 2020. In June 2018, just four months after Falcon Heavy’s iconic launch debut, the US military purchased its first operational launch on the rocket. Known as AFSPC-52 and later renamed USSF-52 after the US government cobbled together a few loosely-related military groups and rebadged them as the “Space Force,” the mission was expected to launch as early as September 2020. In February 2019, the military announced that another Falcon Heavy rocket had been chosen to launch AFSPC-44 (USSF-44) as early as late 2020 or early 2021.
About a year ago, for unknown reasons, USSF-44 took USSF-52’s place as the US military’s first operational Falcon Heavy launch. Now, between three and four years after their initial launch targets, USSF-44 is scheduled to launch NET late June 2022 (a delay of ~18 months) and USSF-52 is set to follow as soon as October 2022 (a delay of ~25 months).
On April 29th, NASA’s Launch Service Program (LSP) revealed that the ~2600-kilogram (~5700 lb) Psyche spacecraft had completed the journey from the Jet Propulsion Laboratory’s (JPL) Pasadena, California assembly facilities to Kennedy Space Center, Florida. After several years of work spent designing, manufacturing, and assembling Psyche, the spacecraft ultimately arrived at on time, leaving it on track to launch on Falcon Heavy as early as August 1st, 2022.
At the moment, that makes Psyche’s launch far more likely to happen before USSF-44, which has repeatedly gotten within a few months of a purported launch target before the US military acknowledged additional delays. Like USSF-44, Psyche’s Falcon Heavy rocket – three boosters, an upper stage, and a fairing – will be entirely new. Due to the high performance required for each mission and the fact that both will be the first operational use of the rocket for NASA and the USSF, each brand-new Falcon Heavy center core will be intentionally expended.
If it launches more or less on time, USSF-44 will be SpaceX and Falcon Heavy’s first direct launch to geostationary orbit (GEO), requiring the rocket’s upper stage to survive a roughly six-hour-long coast and perform a lengthy orbit circularization burn around ~42,500 kilometers (~26,400 mi) above Earth’s surface. With a payload that weighs around four tons (~8800 lb), it’s little surprise that Falcon Heavy’s center core will be expended. Psyche, on the other hand, is headed into deep space on a trajectory that NASA’s own ELVPerf calculator – supplied with official performance data from SpaceX – says Falcon Heavy can launch more than four tons (~8800 lb) to while still recovering all three boosters. It’s unclear why NASA would need a 50-70% safety margin.
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Regardless, the second half of 2022 could be quite the spectacle of Falcon Heavy launches after a more than three-year hiatus. On top of USSF-44, Psyche, and USSF-52, Falcon Heavy is tentatively scheduled to launch a ViaSat-3 communications satellite directly to GEO in Q3 2022 and, even more tentatively, the Space Force’s USSF-67 mission in November 2022.
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 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.
Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
Autonomous vehicle red tape gets slashed by Trump Administration
Elon Musk has a crazy prediction about AI in two years
