Friday, August 21, 2026

TSLA in Fremont August 2026

Update on what Tesla is doing in California.

What JPMorgan Saw Inside Tesla's Fremont Factory As Humanoid Production Nears

Tyler Durden's Photo
by Tyler Durden
Saturday, Aug 22, 2026 - 12:00 AM


https://www.zerohedge.com/technology/inside-teslas-fremont-factory-model-sx-lines-make-way-huamonid-production

Retail flows across Asia remained heavily concentrated in newly listed, high-beta names, most notably Chinese robotics maker Unitree following its blockbuster Shanghai debut. The retail craze surrounding physical AI merely shows Beijing's accelerating push to dominate the humanoid market.

To close out the week, we pivot across the Pacific for a peek inside the US humanoid-robotics supply chain, where Tesla's Fremont buildout provides a timely indicator of how quickly physical AI is advancing.

Rajat Gupta, a JPMorgan analyst who covers Tesla, recently toured Tesla's Fremont factory and reported to clients this week that the facility, once the birthplace of the company's electric vehicles, is now pivoting toward producing robotaxis and humanoid robots.

Gupta and his colleagues toured the roughly 5-million-square-foot facility and found that the discontinued Model S and Model X production lines are being replaced by manufacturing equipment for Tesla's Optimus humanoid.

"On Optimus, production lines are being installed at Fremont (the area was tarped off at the time of our visit), and TSLA remains largely on schedule for the targeted four-month transition following the end of S/X production in May, with initial humanoid deployments in 2H26 expected to focus on Optimus Academy for training and data collection, followed by internal factory use and external sales as early as 2H27," the analyst said.

He said that Optimus robots are not currently working inside the Fremont plant. Initial deployments in the second half of 2026 will instead take place at the "Optimus Academy," where the robots will collect real-world training data before being deployed in factories.

"Overall, we came away from the factory tour with greater conviction in the robotaxi fleet ramp through late 2026 and early 2027, as well as an Optimus SoP that remains largely aligned with previously communicated timelines, both of which are central to the long-term thesis, while near-term commentary on demand drivers and FSD uptake remains constructive," the analyst said.

Here are Gupta's top takeaways from walking the Fremont factory floor:

Facility details. TSLA's Fremont facility serves as the company's primary test bed for innovation, supporting the launch of both new vehicles and humanoids across its expansive roughly 5-million-square-foot footprint. The plant manufactures premium Model Y variants and performance and premium Model 3 variants, while the recently decommissioned S/X lines, retired in early May, are being replaced by Optimus production lines. The factory showcases the breadth of TSLA's automation capabilities, featuring numerous custom-built robots and proprietary software designed to enhance manufacturing speed and precision. Production continues under several modernized tents, originally erected during the Model 3 "production hell" days, which remain integral to the facility's operations. During our visit, we observed gigapress machines, stamping operations and general assembly lines and participated in FSD demonstrations involving the Model Y L variant and the Cybertruck.

Giga casting and stamping. TSLA's innovative giga-casting process, first introduced with the Model Y, consolidates 70 underbody components that would otherwise require welding, significantly streamlining production. This approach reduces the number of robots needed on the welding line. The Model Y utilizes roughly 300 robots, compared with approximately 1,000 for the Model 3. TSLA also attributes this advancement to its materials-science expertise, including the development of a custom aluminum alloy, a capability enhanced through its collaboration with SpaceX. For stamping, TSLA employs Schuler presses with six progressive, interchangeable dies. TSLA stamps roughly 10 visible vehicle components in-house, while hundreds of remaining stamped parts are sourced from suppliers.

Unboxed manufacturing. TSLA emphasized that Cybercab production leverages an unboxed manufacturing process in which large subassemblies are built independently and in parallel, then joined together during the final stage. This approach allows open access from all angles, enabling simultaneous installation and streamlining the overall assembly process.

FSD demos. We participated in FSD demonstrations involving the Model Y L and Cybertruck, with the team walking us through the various modes, ranging from Sloth to Mad Max. The vehicles demonstrated notable driving accuracy, including navigating through a construction zone without manual intervention. The Autopark function worked seamlessly as well.

The Cybercab ramp-up is closely tied to the FSD v15 rollout. Management expressed optimism about the trajectory and pace of the Cybercab production ramp, highlighting that technology validation and production through unboxed manufacturing are advancing in parallel. The fleet deployment timeline will be largely dictated by the upcoming FSD v15 launch later this year. TSLA indicated that it is intentionally holding back on adding Model Y units to the robotaxi fleet, reflecting confidence in its ability to scale the Cybercab fleet in the near term. TSLA views FSD v15 as a step change in performance, comparable to the leap from v13 to v14, which produced a significant increase in parameter count, a larger context window and a roughly 20% reduction in latency. The v15 upgrade encompasses seven core technologies, approximately 40% of which are currently being tested in the robotaxi fleet, where initial feedback has been encouraging. TSLA continues to focus on minimizing regression in core driving functions as it introduces new capabilities, and FSD v15 is viewed as the primary gateway to scaling unsupervised FSD. While the current AI/HW4 stack can run v15 and support unsupervised FSD, TSLA's AI4.5 compute system is designed to accommodate rising compute and memory demands as robotaxi models scale and context windows expand. The system offers roughly 10% more FLOPS and twice the memory.

Robotaxi unit economics remain compelling with the Model 3 and Model Y, although Cybercab is designed to broaden the TAM beyond traditional ridesharing. TSLA highlighted that current robotaxi economics are attractive, with the Model Y and Model 3 carrying total ownership costs of roughly $0.60 to $0.70 per mile at average personal-vehicle utilization rates. Those costs fall to approximately $0.50 to $0.60 per mile at utilization rates four to five times higher, as is typical for robotaxis. That remains well below the roughly $2.50 to $3 per mile charged by incumbent rideshare operators. However, TSLA's vision for robotaxis extends beyond the traditional rideshare segment, which represents only a low-single-digit percentage of the overall mobility market, and calls for a purpose-built robotaxi platform capable of driving total ownership costs down to approximately $0.30 per mile. Management also reiterated that Cybercab is only the initial form factor, with additional vehicle types expected to follow as the platform evolves, citing the Robovan demonstration from the October 10 event as an example.

Optimus is on track for SoP in the coming months, with commercial sales expected as early as 2H27. While we did not have the opportunity to view the Optimus production lines currently being installed following the S/X decommissioning, TSLA indicated that it remains largely on schedule with its roughly four-month transition target after S/X production ended in May 2026. No Optimus robots have been deployed at the Fremont factory yet, although management highlighted that stamping and body-in-white operations are likely to benefit most in the near term, given the repetitive and hazardous nature of those tasks. In contrast, the general assembly line still requires human dexterity and is expected to be a longer-dated application for humanoids. The initial rollout plan calls for Optimus robots to be deployed at the Optimus Academy in 2H26, where the humanoids will learn by interacting with real-world environments, accelerating TSLA's data-collection flywheel. Following this phase, humanoids will be deployed internally at TSLA factories for further data collection and to minimize third-party data complexities, with commercial sales to external customers anticipated as early as 2H27. TSLA is aligning humanoid data collection with its FSD methodology and is committed to retaining data ownership internally, rather than relying on third-party datasets, to preserve its long-term differentiation. Separately, TSLA noted that compute capacity increased roughly twofold year over year in 1H26. The finalization of the design, although aesthetics remain a work in progress, represents a key milestone for Optimus and signals the company's commitment to scaling volumes over the longer term. TSLA is targeting roughly 1 million units at Fremont, with a longer-term goal of approximately 10 million units at Giga Texas. The Gen 3 unveiling will be timed closer to SoP to protect the company's competitive advantage, while the scope of Gen 4, including its capabilities, cost and scalability, will be informed by Gen 3's field experience.

The demand rebound is attributed to FSD and model-lineup refreshes. Excluding any potential uplift in EV demand from higher gasoline prices tied to the Middle East conflict, which management teams at publicly traded franchised dealers indicated has not materially affected BEV demand, TSLA attributes the recent acceleration in unit volumes to progress on FSD and a refreshed model lineup. Second-quarter 2026 unit sales increased 25% year over year and 34% sequentially, marking the largest quarter-over-quarter increase since 2019. The introduction of new base variants, alongside the Model Y L and updated performance models, has broadened TSLA's offering, enabling the company to address a wider range of use cases and price points. TSLA has made FSD the centerpiece of its product portfolio, leveraging improved functionality to generate additional customer interest. Management noted a growing trend of customers visiting showrooms specifically to learn about FSD. This sales momentum is also evident internationally, with markets such as Australia and South Korea, as well as early results from Europe, showing a step change in demand following the FSD rollout.

Europe FSD approval update. TSLA is pursuing a dual-track strategy for FSD approval in Europe, engaging directly with the EU, where the approval timeline has been repeatedly delayed and is now expected in October, while simultaneously working with individual countries such as the Netherlands, whose regulatory frameworks can be adopted by other EU member states. Early driving data from Europe show promising safety metrics, including roughly five times fewer collisions across approximately 65 million kilometers of FSD driving, which management believes is gradually increasing regulatory momentum. Once approved, activation in European markets is expected to occur relatively quickly, measured in weeks rather than months or quarters.

FSD pricing remains iterative over the near to medium term, although it represents a significant long-term opportunity. TSLA explained that the transition from upfront FSD purchases to a subscription-only model is designed to maintain flexibility and capture the increasing value of continued improvements in functionality. In the near term, management is prioritizing vehicle activations and FSD usage, especially because roughly 50% of TSLA owners historically have not tried FSD and a substantial cohort of customers who previously accessed older versions have not activated new subscriptions. TSLA continues to see strong customer retention once drivers experience the technology, supporting its one-month free trial for all new customers and the decision to maintain pricing at approximately $99 per month.

Automotive gross margins. TSLA noted that it has made targeted pricing adjustments to certain Model Y variants and a broader group of Model 3 variants globally to offset commodity-cost headwinds. Changes to interest-rate subsidies should also alleviate some pressure on gross margins. Management noted that first- and second-quarter 2026 gross margins were modestly affected by the shift toward subscription-based FSD monetization, as upfront FSD purchases ended in the US and Canada in February 2026 and will be phased out elsewhere by August 2026. The ramp-up of cathode and anode production, which began in January 2026, is expected to contribute gradually to cost-of-goods-sold efficiencies. It typically takes 18 months for a plant to reach an appropriate level of scale and utilization, although the magnitude of the savings may be difficult to isolate given several other moving parts. More broadly, TSLA emphasized that its operating philosophy remains focused on expanding the top line and leveraging significant production capacity, with a target of up to 3 million units compared with JPMorgan's estimate of approximately 1.8 million deliveries in 2026.

Tesla's humanoid pivot is not an immediate commercial story, but it could become one in the second half of 2027 as series production scales and external sales begin. The emerging robotics race between the West and China is increasingly centered on Tesla and Unitree, with both companies preparing to ramp factory output and commercial deliveries over the next year.

Tesla shares still locked in a bear market.  

The West does, however, have a supply-chain problem. China controls significant portions of the supply chains for components required to manufacture humanoids, including rare-earth materials, permanent magnets, actuators, electric motors and optics. Tesla may lead the Western commercialization effort, but without secure domestic or allied sources for these critical components, the US risks building its humanoid-robotics industry on a supply chain that Beijing can restrict, as currently seen across critical materials ranging from tungsten to germanium (read the report here).


Sunday, July 26, 2026

fast decisions

 

Elon Musk was asked by an interviewer what he does when he makes a wrong decision. He said he doesn't make decisions based on being right. He makes decisions based on expected value. Which means he expects to be wrong frequently. He said if you're not wrong at least 30% of the time you're not making enough decisions. He described SpaceX's approach to rocket design. Instead of spending years perfecting a design on paper and then building it, they build it fast, launch it, watch it explode, and use the explosion as data for the next version. The explosions aren't failures. They're the fastest way to generate the information needed for success. He said most companies fail not because they make bad decisions but because they make too few decisions. They spend so long trying to be right that the opportunity passes. A wrong decision made quickly generates data. A delayed decision generates nothing. Then he said the part that made the interviewer go quiet. He said the biggest mistakes of his career weren't the times he was wrong. They were the times he was right but too slow. The times he knew the answer and waited for more confirmation before acting. The delay cost more than any wrong answer ever did. The world sees Elon as a risk taker. He sees himself as someone who moves fast enough that the cost of being wrong is always lower than the cost of being slow. That's not the same thing as courage. It's math.


Thursday, July 23, 2026

Leaders who know

 


A SpaceX intern once described eating lunch next to Elon Musk in the company cafeteria. The intern said Elon sat down at a regular table with a regular tray of food. No entourage. No reserved section. He sat next to two junior engineers who were clearly terrified. One of them was explaining a problem with a valve component to the other. Elon listened without introducing himself or interrupting. After about three minutes he turned to the engineer and said "have you tried running it at a lower pressure gradient first." The engineer stared at him. Then realized the CEO of the company had just casually solved a problem his team had been stuck on for a week. The intern said what happened next was the part that surprised him. Elon didn't leave. Didn't check his phone. He spent the next twenty minutes asking the engineers questions about their work. Not CEO questions about timelines and budgets. Engineering questions about fluid dynamics and material stress tolerances. He was genuinely curious. The cafeteria conversation was indistinguishable from a technical review. The intern said he understood in that moment why people work 80-hour weeks for this man. Not because he's inspiring. Not because he pays well. Because he's the only CEO in the world who sits in the cafeteria and solves your engineering problem between bites of a burrito. People follow leaders who are above them. People worship leaders who sit next to them and prove they understand the work better than the people doing it.


Tuesday, July 21, 2026

Directly from orbit to the phone in your pocket.

 

Elon Musk just spent seventeen billion dollars to make every cell tower on Earth a relic. Musk: “It will allow SpaceX to deliver high bandwidth connectivity directly from the satellites to the phones.” Not through towers. Not through cables. Not through any infrastructure on the ground. Directly from orbit to the phone in your pocket. For over a century, connectivity followed the same blueprint. Build a tower. Run a cable. Expand the network one piece of ground at a time. Coverage went where the money was. Where the population density justified the investment. Everywhere else got silence. Four billion people still don’t have reliable internet. Not because the technology doesn’t exist. Because no one could justify building a tower where they live. Connectivity was never a technology problem. It was a geography problem disguised as one. Musk: “The phones that are able to use the spectrum that was acquired probably start shipping in around two years.” Two years. Then the phone in your hand connects straight to space. No tower required. No carrier infrastructure between you and the signal. The entire telecom industry was built on one assumption. That connectivity requires ground infrastructure. Every carrier. Every contract. Every coverage map. All products of that assumption. Starlink just bypassed it from orbit. From orbit, every point on Earth is equidistant. The word “remote” only exists because connectivity was built from the ground up. From space, there is no remote. There is no coverage gap. There is no place on Earth harder to reach than any other. The ground decides who gets connected based on where they are. The sky doesn’t know the difference. Human potential was always distributed evenly across the planet. Access to information never was. The gap between those two facts is the greatest waste in human history. We spent a century deciding who deserved access to information based on where they happened to be born. Musk just made that question obsolete from 550 kilometers above the answer.


Monday, July 13, 2026

fixing sight




Elon Musk just proved every sighted person on Earth is blind. Your eye captures 0.0035% of the electromagnetic spectrum. You are not seeing the universe. You are seeing the sliver your biology decided was enough to keep you alive. That was never vision. That was a survival filter bolted onto your perception four hundred million years ago. No one has ever removed it. Musk: “Blindsight will enable those who have total loss of vision to be able to see again. Including if they have lost their eyes, or the optic nerve.” No eyes. No nerve. The entire optical system physically absent from the skull. Neuralink does not rebuild what broke. It routes around biology entirely. It streams synthetic signal straight into the visual cortex. Your eye never saw anything. Your brain did. Your brain sits in total darkness inside a vault of bone. It has never seen the sun. It has never seen anything. It builds reality out of whatever electrical signal the eye allows through. The eye is the bottleneck between your mind and the universe. Neuralink removes the bottleneck. Musk: “Maybe have never seen, were even blind from birth.” A human who has never perceived a single photon of light. Given sight for the first time. Not through medicine. Through engineering. Musk: “You can see in radar, you can see in infrared, ultraviolet.” Infrared is pouring off every surface in the room around you. Radio waves are passing through your body right now. Ultraviolet is painting patterns across everything you have ever looked at. You cannot see any of it. Your biology locked you out before you were born. Musk: “Superhuman capabilities.” The person born blind would not be restored to human sight. They would see more of the universe than any sighted person who has ever lived. The blind would out-see the sighted. You will not pity them. You will envy them. Musk: “Cybernetic enhancement.” Every human sense is a sensor converting the world into electrical signal. Replace the sensor and the brain does not care where the signal came from. It just processes. Your senses were never built to show you reality. They were built to show you just enough of it to survive. Evolution built a keyhole. We called it sight. Elon Musk is not fixing blindness. He is fixing sight.


Thursday, June 25, 2026

50 useful websites

 

50 WEBSITES GOOGLE DOESN'T WANT YOU TO KNOW 1. 12ft. io — bypass any paywall 2. libgen. is — millions of free textbooks 3. sci-hub. se — free research papers 4. alternativeto. net — find free app alternatives 5. justwatch. com — find where to stream anything 6. archive. org — access any old webpage ever 7. gutenberg. org — 70K free classic books 8. pdfdrive. com — free PDF downloads 9. openculture. com — free courses from top unis 10. wolframalpha. com — solve any math instantly 11. photopea. com — free Photoshop in browser 12. squoosh. app — compress any image free 13. remove. bg — remove image backgrounds free 14. cleanup. pictures — erase objects from photos 15. unscreen. com — remove video backgrounds 16. carbon. now. sh — turn code into art 17. ray. so — beautiful code screenshots 18. shots. so — free product mockups 19. smartmockups. com — mockups without Photoshop 20. haveibeenpwned. com — check if you were hacked 21. virustotal. com — scan any file for malware 22. privnote. com — send self destructing messages 23. temp-mail. org — disposable email instantly 24. file. io — share files that auto delete 25. archive. ph — save any webpage forever 26. similarsites. com — find any site alternatives 27. radio. garden — listen to any radio worldwide 28. everynoise. com — explore every music genre 29. tunefind. com — find songs from any show 30. musicforprogramming. net — music to focus with 31. mynoise. net — custom focus soundscapes 32. coffitivity. com — cafe sounds for productivity 33. elicit. org — AI research paper assistant 34. consensus. app — search what science agrees on 35. connectedpapers. com — map research visually 36. semanticscholar. org — free academic search 37. scispace. com — understand any research paper 38. summarize. tech — summarize any YouTube video 39. phind. com — AI search for developers 40. regex101. com — test any regex instantly 41. codebeautify. org — format any code cleanly 42. jsonformatter. org — read JSON like a human 43. explainshell. com — understand terminal commands 44. raindrop. io — bookmark manager that works 45. downdetector. com — check if any site is down 46. tineye. com — reverse image search 47. fast. com — check your internet speed 48. smallpdf. com — edit PDFs free 49. ilovepdf. com — merge and split PDFs 50. 10minutemail. com — temp email in seconds The internet is bigger than Google shows you. Most people never leave the first page.