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Tesla is willing to help other automakers, but ask nicely
Earlier this week, I wrote an article talking about the German car companies and their obsession with mentioning Tesla. Volkswagen, Audi, and BMW are all gunning for Tesla in terms of electric vehicle technology and manufacturing. While the three German giants admit that Tesla holds a multi-year lead in the EV sector, they all believe they can catch up to Elon Musk and the rest of the crew.
After publishing the article, Elon responded and said that Tesla was willing to help companies transition to sustainable forms of transportation because it would help the world as a whole. However, there is evidence to suggest that Tesla and Elon are going to help those who ask for it, not those who attempt to take information in a manner that could be considered “sneaky.”
Tesla is open to licensing software and supplying powertrains & batteries. We’re just trying to accelerate sustainable energy, not crush competitors!
— Elon Musk (@elonmusk) July 29, 2020
Additionally, one of Musk’s followers had asked if Tesla’s Autopilot could be shared with other automakers in an attempt to not only accelerate the charge towards semi and fully-autonomous driving. Musk simply replied, “Sure,” indicating that there did not seem to be any boundaries in terms of what Tesla would be willing to share with its “competitors” as capitalism would refer to them as.
Sure
— Elon Musk (@elonmusk) July 29, 2020
To me, I found that simple “Sure” reply as one of the most interesting Tweets of Musk’s illustrious Twitter career. Not only has the CEO provided many of my friends and me with a fair share of laughs and me because of his great sense of humor, but his digs at other companies, as well as some of the more ironic things that he has said, have always intrigued me.
When he said, “Sure,” all I thought of was the lawsuit that Tesla currently holds against an Xpeng engineer who formerly worked for Tesla.
For those of you that are not familiar, Tesla sued Xpeng engineer Cao Guangzhi earlier this year, who used to work for Tesla.
Guangzhi allegedly stole pieces of Tesla’s Autopilot source code and attempted to sell it to Xpeng for financial gain. Guangzhi had downloaded portions of the code to his personal laptop and then shared it through Apple Airdrop, which is hard to track because of the encryption that Apple uses. However, he ensures that he removed it from his personal laptop before leaving Tesla to join Xpeng.
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The case is still ongoing.
But what I found most interesting about Musk’s simple one-word answer was the fact that he stated he would be willing to share Autopilot’s developments with other automakers. But it seems it needs to be done in good and harmless fashion, and not in a sneaky way. This is entirely understandable, in my opinion.
If Guangzhi did what Tesla is accusing him of doing, it would be seriously sneaky and flawed. Tesla is the leader in semi-autonomous driving thanks to the developments of its Artificial Intelligence team, led by Andrej Karpathy. What separates Tesla from every other company in self-driving is the fact that it is continuously improving thanks to the company’s Neural Network. As information is communicated to the Neural Network with every Tesla vehicle on the road, the company’s self-driving software becomes more sophisticated and more accurate as it can predict the next movements of the drivers around a car.
If this source code were to be leaked or given to another company, it could be detrimental to Tesla’s lead in the self-driving universe. I’m excited to see how the case plays out.
More recently, Tesla sued Rivian for poaching former employees and stealing trade secrets. Interestingly enough, I had some time to read over several pages of the complaint from Tesla to Rivian, and some employees openly admitted to taking confidential documents when they left Tesla.
I am a big Rivian fan. I think R.J. Scaringe, the company’s CEO, is a brilliant person who has a lot of potential to do amazing things. I have recommended to a couple of my friends that they should invest in an R1T instead of getting a Cybertruck because they don’t like the Tesla pickup’s design. But either way, it seems from my understanding of legal documentation, it is going to be up to Tesla to prove that Rivian asked these employees to take things and that they are openly going after past Tesla employees. I think that is going to be a tough cookie to crack.
But either way, Rivian didn’t go to Tesla for help directly. I feel that if they needed help with electrification or self-driving code, they should have reached out to Elon directly.
Elon has stated for years that the biggest enemy of Tesla is not competitors who are developing sustainable electric vehicles. The companies that are the biggest threat to Tesla are the biggest threat to us all, which are the ones who refuse to adapt to the sustainable transportation revolution. Companies that want to develop and improve internal combustion engine machines are a threat. Not financially, but environmentally, because they’re ignoring the apparent crisis that is going on in the world.
Does it seem like Elon wouldn’t be willing to help other automakers develop their vehicles if they asked for help? I don’t think so. Personally, when I look at Musk’s mission, I see a man who is interested in collaborating with anyone and everyone, as long as they are willing to admit that their push toward sustainability is the focus and not on the backburner.
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Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
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.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
SpaceX makes $20 billion move to optimize its balance sheet
