News
SpaceX Starship engine completes orbital-duration static fire test in Texas
A local resident and unofficial SpaceX observer has reported hearing a test of one of Starship’s Raptor engines that lasted more than five minutes at the company’s McGregor, Texas development facilities.
If accurate, it could be the longest static fire of a Starship engine that SpaceX has ever completed in the two years since full-scale Raptor testing first began. Whether it was successful or not, a five or six-minute static fire would also confirm that SpaceX is well into the process of qualifying Raptor for Starship’s first orbital launch attempts.
An FCC “Special Temporary Authority” (STA) request filed by SpaceX itself for Starship’s inaugural “Orbital Test Flight” earlier this month provided several significant details about that milestone mission. Aside from revealing that Starship will ultimately attempt a soft ocean landing – splashdown – off the coast of a Hawaiian island after traveling ~75% of the way around Earth, it also included a precise timeline of launch events.
According to that timeline, ten seconds shy of three minutes after liftoff, Starship’s Super Heavy booster will shut down and separate from the spacecraft. Starship will then ignite either three or six Raptor engines for a bit less than six minutes to boost itself within the vicinity of orbital velocity. Curiously, the same timeline makes no mention of a deorbit burn, without which the first “orbital” test flight will technically be suborbital even if Starship is traveling very close to orbital velocity.
Regardless, the document confirms that Starship’s orbital insertion burns will be approximately 5.5-6.5 minutes long – the maximum stamina required from its Raptor engines, in other words. Rephrased, in its current design, Starship will never be able to reach orbit without Raptor engines capable of continuously operating for around six minutes. Up until high-altitude Starship test flights began in December 2020, the extent of Raptor’s long-duration capabilities and thus the state of SpaceX testing was effectively a mystery.
When Starship SN8 debuted, however, it quickly became clear that SpaceX had made significant progress after one of its three Raptor engines burned without apparent issue for 280 seconds (4:40). If SN3x and SN4x Raptors could handle almost five minutes of continuous operation, the engine was just ~20% improvement away from being able to complete a plausible orbital insertion burn.
Now, six months later, Raptor appears to have completed at least one truly orbital-class burn at SpaceX’s Central Texas development campus. McGregor typically completes multiple static fires every day and already performs similar-duration testing of Merlin Vacuum engines and upper stages, so it’s possible – if not probable – that one or several other five or six-minute-long tests have simply been missed over the last few months.
Beginning just a handful of months ago, SpaceX has been rapidly building a new Raptor test stand with two vertical engine bays and new liquid oxygen and methane propellant storage to go with it. Given that a six-minute Raptor engine static fire at or close to full thrust would consume around 220 metric tons of propellant, it’s possible that SpaceX’s ground test facilities simply didn’t have the storage capacity to support such long tests prior to those recent upgrades.
Regardless, the first unofficially confirmed orbital-duration test is an exciting and important milestone with or without SpaceX confirmation and continues to make it abundantly clear that the company is now almost entirely focused on reaching orbit (or getting close).
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Elon Musk
Elon Musk: Tesla could be first to build AGI in humanoid form
Musk’s statement was shared in a post on social media platform X.
Elon Musk predicted that Tesla could become one of the developers of Artificial General Intelligence (AGI) in humanoid form. Musk’s statement was shared in a post on social media platform X.
In his post, Musk stated that “Tesla will be one of the companies to make AGI and probably the first to make it in humanoid/atom-shaping form.”
The comment comes as Tesla expands development of its Optimus humanoid robot.
During Tesla’s Q4 earnings report, Elon Musk stated that production of the Model S and Model X would be phased out at its Fremont, California, facility. The vehicles’ production line will then be converted to a pilot line for Optimus. Tesla is looking to produce 1 million units of the humanoid robots annually to start.
Musk has previously stated that Optimus could eventually function as a von Neumann probe. The concept, proposed by mathematician John von Neumann, describes a machine capable of replicating itself using planetary resources and sending those replicas to other worlds.
Optimus would likely only be able to achieve this potential if it manages to achieve Artificial General Intelligence.
Other leaders in the AI sector have also expressed strong expectations about AGI’s potential. Demis Hassabis, CEO of Google DeepMind, recently spoke about the technology at the India AI Impact Summit 2026, as noted in a Benzinga report.
“It’s going to be something like ten times the impact of the Industrial Revolution, but happening at ten times the speed,” Hassabis said.
Elon Musk’s recent comments about Tesla producing a product with AGI could hint at further collaboration among his companies. So far, Tesla is actively pursuing autonomous driving, but it is xAI that is pursuing AGI with its Grok program.
Considering that Elon Musk mentioned a Tesla humanoid product with AGI, it appears that an Optimus robot running xAI’s AI models could become a reality.
xAI had recently merged with SpaceX, though reports suggest that Elon Musk is also considering an even bigger merger for all his companies, including Tesla.
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
Tesla to discuss expansion of Samsung AI6 production plans: report
