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Tesla’s Elon Musk details Model Y manufacturing improvements, insight on design

Tesla Model Y outside Fremont seat factory. | Image: Reddit u/backstreetatnight

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Tesla CEO Elon Musk recently revealed improvements the all-electric car maker has made to its production process for the Model Y crossover SUV. In an interview on Ride the Lightning podcast, hosted by Ryan McCaffrey, Musk discussed lessons learned from Tesla’s prior transition from the Model S to the Model X as applicable to the Model Y, as well as decisions made from the vehicle’s outgrowth of the Model 3. He additionally provided some insight on the design decisions behind the Model 3, which also carry over to the Model Y’s design.

Musk and McCaffrey’s discussion about the Model Y production process began with the question, “What are the biggest lessons learned from the Model 3 program that you’re applying to the Model Y?” However, Musk indicated that a more relative learning comparison came from Tesla’s design of the Model X and its departure from the Model S.

“The Model X ended up being a radical departure from the S…with the Model Y, we wanted to avoid the technology bandwagon we had with the X. It should have been easy going from S to X, but instead, it was hell because of so many new technologies…It would be too risky to the company to do that with the Y,” Musk explained.

The Model Y crossover needed to address the flexibility expected of vehicles in its class such as cargo capacity, seating for 6 or 7 people, and more ride height than a sedan. Tesla addressed these features while also keeping in mind the effect on battery range a larger vehicle might have, according to Musk.

“We tried to make the car as similar to the [Model 3] as possible except in the case where a change was necessary to achieve SUV functionality…[all] while still having a low drag coefficient and not increasing the frontal area too much,” he detailed. Overall, Musk concluded that CdA (automobile drag coefficient) and mass of the Model Y only affect 8-10% of the battery range when compared to the Model 3.

The design of Tesla’s Model Y and lessons learned from Model 3 production also led to some manufacturing improvements for the electric crossover. Musk detailed how the Model Y underbody was switched to aluminum casting instead of stamped steel and aluminum pieces, which greatly simplifies the moving parts involved in making the vehicle.

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This change effectively means that initially, using two castings to make the structure will take the process from 70 parts to 4 (castings plus joiners), and once the “big” casting machine comes into operation, the process will have brought the process from 70 parts to 1 (casting only). Using casting over stamping reduces the weight of the Model Y, improves MHB (heat produced), lowers cost due to the smaller number of parts necessary, and significantly drops capital expenditure on robots.

Tesla’s factory in Fremont is largely driven by a robotic manufacturing process. | Image: Tesla

As for the manufacturing location of the Model Y, Musk said the decision was not quite final, but the default place was Tesla’s factory in Fremont, California, with the runner-up being Gigafactory 1 in Sparks, Nevada. Producing the Model Y in Fremont would be the fastest way to bring the crossover SUV into production, according to Musk. “One choice isn’t natural over other,” he said. Freemont is producing the Model 3 and the two vehicles share 75% of their components, but Gigafactory 1’s location has a lower cost of living, meaning an overall better value for Tesla.

The similarities between the Model Y and Model 3 being what they are, Musk also discussed with McCaffrey some of the design decisions that initially went into creating the Model 3. In response to the question, “What’s the toughest design decision you had to make on Model 3?”, the CEO cited two primary factors that went into the midsize sedan’s creation: the touchscreen and the nose design.

Reducing the number of screens from two in the Model S to one in the Model 3 came with some pushback, Musk explained. However, he felt that owners would prefer an open view of the road, and everything needed while driving could be fit onto one screen.

This background brought up community rumors about a heads-up display (HUD) being included in Tesla’s vehicles. On the subject, Musk set the record straight – there was never any plan to include a HUD, nor will one be added in the future. He simply doesn’t like them, and the move to self-driving makes them pointless. “We discussed it, but I’ve tried various heads up displays and found they were annoying,” he said. “We felt the car would increasingly go to self-driving…As things are approaching autonomy, why project things you don’t even care about on the screen?”

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The nose of Tesla’s Model 3, which decidedly does not look like Lord Voldemort. | Image: Tesla

Something that customers do care about, though, is the look of their car. Musk detailed the difficulties in making an attractive design for the Model 3, which wasn’t easy thanks to the lack of a front grill on the vehicle. “You don’t want to have the nose to look like Voldemort…You’ve got to get some character or it does not look good.”

Also mentioned was the decision to reduce the width of the Model 3 to 185 cm over the 195 cm of the Model S to help sell more cars in Japan. The country’s parking machines only accept cars up to 195.4 cm wide, which leaves very little wiggle room in the manufacturing process to meet. The change to 185 cm meant that any Tesla Model 3 could fit in any parking garage in Japan.

The Model Y is set to begin production in 2020, and reservations are currently open on Tesla’s website.

Listen to McCaffrey’s full Ride the Lightning podcast interview here.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

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!”

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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.”

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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

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“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.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

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.

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.

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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.

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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.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

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.

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.

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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.

SpaceX makes first acquisition post-IPO

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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.

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