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Elon Musk’s SolarCity trial day 1: Arguments, quotes, and testy exchanges
As he faced a lawsuit from Tesla shareholders about the SolarCity acquisition in 2016, Elon Musk was firm in the notion that he didn’t have any sway over the company’s board when it approved the deal. Musk highlighted this point on Monday, as he testified in a Delaware courtroom as part of a lawsuit filed by Tesla shareholders, who alleged that both the CEO and the company’s board breached fiduciary duties when they decided to acquire SolarCity.
When SolarCity was acquired by Tesla, Musk was the chair of the company and its largest shareholder. The CEO later noted that the acquisition was a “no brainer,” and it was completed with over 85% of TSLA shareholders voting in favor of the deal. Considering Musk’s ties to SolarCity and the solar installer company’s financial fluctuations at the time, however, critics argued that the deal was essentially a bailout. Musk was also accused of vowing retaliation against any Tesla director who voted against the acquisition.
According to Musk, Tesla’s now-Chairwoman Robyn Denholm was the one who set the final price of the deal, as well as the terms of the SolarCity acquisition. Musk noted that he was kept abreast on the basic progress of the deal, but he was otherwise recused. The CEO also stated that the notion of him controlling Tesla shareholders was implausible. “I don’t think it’s possible to control” big institutional investors like Fidelity and T. Rowe Price,” Musk said.
Things heated up when Musk started responding to questions from Randy Baron, the plaintiff’s lawyer who had already traded barbs with the CEO in the past. From the start, Baron gave Musk “fair warning” that “we have a long way to go,” and that his questioning would probably take all day and well into Tuesday. Musk joked, stating that he could tell the questioning would be long due to the size of Baron’s binder.
As part of his cross-examination, Baron showed a slide showing how far below forecasts was the amount of solar energy Tesla has deployed since its acquisition of SolarCity, especially as the solar provider was one of the US’ most dominant players in the residential solar market before it was integrated with the EV maker. Musk responded that 2017 to 2019 were the “three hardest years of (his) entire career” and that he was working hard to save Tesla at the time. After this, the pandemic shut down government permitting offices, which was a challenge to the US residential solar market. When Baron warned him that things would be really slow if Musk kept elaborating on his answers, the CEO noted that “some of your questions are tricky and deceptive.”
Musk and Baron’s exchanges only got more heated as the day wore on. When Baron asked Musk if he ever “rage fired” anyone or treated people with derision, the CEO noted that he gives “clear and frank feedback which may be construed as derision,” but he did not “rage fire” anyone. The lawyer then played several clips of Musk’s deposition showing his tense exchanges with the CEO. “That was openly derisive not for some benefit of Tesla, but because you didn’t like what was happening, correct?” Baron asked in an apparent attempt at provoking Musk.
Musk later said that he does not respect Baron because he worked for Milberg Weiss, a law firm whose partners were imprisoned for paying kickbacks to expert witnesses and plaintiffs; and Robbins Geller, whose partners also ended up incarcerated. “You were mentored by criminals. Then you continued to be mentored by criminals and that is why I do not respect you… I have great respect for the court, but not for you. I think you are a bad human being,” Musk said, later accusing Baron of being a “professional bully” who used his words to cut. “That’s very sad,” the CEO remarked.
Other loaded exchanges between Musk and Baron happened after the lawyer asked the CEO if he does not like it when people tell him what to do. Musk calmly responded that this was not exactly the case. “In fact, if I’m not mistaken, I view critical feedback as a gift,” Musk stated. This point could be confirmed by Musk’s reception to critical feedback from automotive veteran Sandy Munro, who heavily criticized the Model 3’s design in a teardown. Musk also added that if it were up to him, he would rather just work as an engineer.
“To be honest, I don’t want to be the boss of anything. I won’t want to be CEO. I tried not to be CEO of Tesla, but I had to, or it would die. I rather hate being a boss. I’m an engineer,” Musk said.
Amidst Musk’s exchanges with Baron, however, the CEO’s point was clear. SolarCity, like any aggressive startup in a high-growth industry, had a tendency to have negative cash flow. Musk noted that Amazon was an example of this, and so was Tesla, and yet, both companies are thriving now. Simply put, the CEO argued that SolarCity’s financial strains when it was acquired were not out of the norm, as even Tesla was in the same place at the time, and if needed, the solar company could have just raised capital.
“Daring enterprises burn cash and take risks to achieve something worthwhile, or even great. Tesla was subject to those risks as much as SolarCity was, but that doesn’t mean they weren’t both worthy ventures. So can’t we acknowledge that even my once-stumbling solar efforts are starting to bear fruit?” Musk noted.
The first day of Elon Musk’s SolarCity trial was adjourned until 9:15 a.m. ET on Tuesday. The CEO is expected to continue his cross-examination with the plaintiff’s lawyer.
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SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
It is safe to say SpaceX won’t be going for electric rockets anytime soon.
In a characteristically blunt reply on X, SpaceX frontman Elon Musk stated, “Unfortunately, electric rockets are impossible,” following reports that MSCI had assigned SpaceX its lowest possible ESG rating of CCC.
The assessment, issued just this past week, coinciding closely with SpaceX’s public market debut, placed the company on par with nations like Russia in sustainability scoring and cited significant risks in environmental, social, and governance areas.
MSCI flagged SpaceX’s exposure to rocket emissions and other operational impacts, alongside governance concerns such as concentrated control by Musk and limited shareholder protections. Musk’s terse comment directly addressed the environmental pillar, underscoring a core physical constraint that ESG frameworks often overlook when evaluating high-thrust industries.
Unfortunately, electric rockets are impossible
— Elon Musk (@elonmusk) June 21, 2026
Electric propulsion systems do exist and are widely used in space. Ion thrusters and Hall-effect thrusters accelerate ionized propellant, typically xenon or krypton, using electric fields, achieving very high specific impulse, often exceeding 3,000 seconds compared to roughly 300–450 seconds for chemical rockets.
This efficiency makes them ideal for satellite station-keeping, orbit raising, and deep-space missions where low thrust over long durations is sufficient. SpaceX’s own Starlink satellites employ electric propulsion for these purposes.
However, launching from Earth’s surface demands something entirely different: enormous thrust delivered rapidly to overcome gravity and atmospheric drag. A typical orbital-class booster must generate thrust far exceeding its weight, often in the millions of Newtons within seconds.
Chemical rockets achieve this through exothermic combustion of dense propellants, producing high-mass-flow, high-velocity exhaust. Electric systems, by contrast, expel very small amounts of mass at extremely high speeds. Generating equivalent thrust would require impractical onboard power levels, massive energy storage or generation systems, and prohibitive added mass, rendering the approach infeasible with current or near-term technology.
Musk has previously expressed a similar sentiment, noting a desire for electric orbital rockets while acknowledging the inescapable requirements of Newton’s third law and energy delivery. The distinction is clear: electric propulsion excels once a vehicle is already in space; it cannot replace the high-thrust chemical phase required to reach orbit from the ground.
The episode illustrates broader critiques of ESG ratings. Proponents argue they incentivize better risk management and long-term sustainability. Detractors, including Musk—who has previously called ESG a “scam”—contend that such metrics can penalize essential activities when no practical alternative exists, potentially discouraging innovation in sectors like space access.
Elon Musk dubs the S&P 500 ESG as “outrageous scam” after Tesla gets booted from index
SpaceX has sought to mitigate launch-related impacts through reusability: Falcon 9 boosters have flown more than 30 times in some cases, dramatically lowering the manufacturing and emissions burden per kilogram delivered to orbit. Starship’s design further emphasizes rapid reusability and methane propellant, which can theoretically be produced via sustainable pathways.
Ultimately, Musk’s remark serves as a reminder that certain engineering realities persist regardless of scoring systems. As humanity expands its presence in space for communications, science, and exploration, balancing genuine environmental progress with technological necessity remains a central challenge.
ESG frameworks may evolve, but the fundamental limits of electric launch propulsion are unlikely to change soon.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
What is Digital Optimus? The new Tesla and xAI project explained
A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
SpaceX confirms third massive compute deal at Colossus data center
Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric
