News
Tesla’s Neural Network adaptability to hardware highlighted in new patent application
Tesla’s developments in the artificial intelligence arena are one of the most important aspects of its current and future technology, and this includes adapting neural networks to various hardware platforms. A recent patent publication titled “System and Method for Adapting a Neural Network Model On a Hardware Platform” provides a bit of insight into how the electric car maker is taking on the challenge.
In general, a neural network is a set of algorithms designed to gather data and recognize patterns from it. The particular data being collected depends on the platform involved and what kind of information it can send to the network, i.e., cameras/image data, etc. Differences between platforms mean differences in the neural network algorithms, and adapting them is something time consuming for developers. Just as apps have to be programmed to work based on the operating system or hardware on a phone or tablet, for example, so too do neural networks. Tesla’s answer to the adaptation issue is automation (of course).
During the adaptation process of a neural network to specific hardware, decisions must be made by a software developer based on available options built into the hardware being used. Each of these options, in turn, usually requires research, hardware documentation review, and impact analysis, with each set of options chosen, eventually adding up to a configuration for the neural network to use. Tesla’s application calls these options “decision points,” and they are a vital part of how their invention functions.

According to the application, after plugging in a neural network model and the specific hardware platform information for adaptation, software code traverses the network to learn where the decision points are, then runs the hardware parameters against those points to provide available configurations. More specifically, the software method looks at the hardware constraints (such as processing resources and performance metrics) and generates setups for the neural network that will satisfy the requirements for it to operate correctly. From the application:
“In order to produce a concrete implementation of an abstract neural network, a number of implementation decisions about one or more of system’s data layout, numerical precision, algorithm selection, data padding, accelerator use, stride, and more may be made. These decisions may be made on a per-layer or per-tensor basis, so there can potentially be hundreds of decisions, or more, to make for a particular network. Embodiments of the invention take many factors into account before implementing the neural network because many configurations are not supported by underlying software or hardware platforms, and such configurations will result in an inoperable implementation.”

Tesla’s invention also provides the ability to display the neural network configuration information on a graphical interface to make assessment and selection a bit more user friendly. For instance, different configurations could have different evaluation times, power consumption, or memory consumption. Perhaps an analogy for this process would be selecting configurations based on differences between Track Mode and Range Mode but instead for how you’d want your AI to work with your hardware.
This patent application looks to be one of the products of Tesla’s reported acquisition of DeepScale, an AI startup focused on Full Self Driving and designing neural networks for small devices. The listed inventor, Dr. Michael Driscoll, was a Senior Staff Engineer for DeepScale before transitioning to a Senior Software Engineer position at Tesla. Prior CEO of DeepScale, Dr. Forrest Iandola, also transitioned to Tesla as a Senior Staff Machine Learning Scientist before moving on to independent research this year.
Energy
Tesla begins groundworks on $10B ‘Project Crystal Sun’ in Texas
Tesla has started to perform earthworks engineering on the roughly 3,000-acre site in Fort Bend County, Texas, advancing the massive $10 billion Project Crystal Sun plan to build a vertically integrated solar manufacturing complex.
Flyover drone footage from S.E. Robinson, Jr. released this morning shows the location under development. Tesla has crews on site performing large clearings, but you can also see equipment staging areas, the use of an existing homestead, and active leveling across a substantial portion of the property.
Tesla has started construction on Project Crystal Sun, its $10B vertically integrated solar factory near Houston, Texas.
The plant will make everything from silicon ingots and wafers to finished cells and panels, with operations targeted for Q1 2029.
@SERobinsonJr with a great flyover of the facility:
— TESLARATI (@Teslarati) November 9, 2026
Public filings first submitted in July under Texas’s Jobs, Energy, Technology and Innovation Act describe a plant that would manufacture the full solar chain: everything from silicon ingots, wafers, coated cells, and finished modules.
Tesla projects 9,712 permanent jobs by 2033, ramping from roughly 1,900 positions in the first year of operations, plus a peak of about 1,147 construction jobs. Construction is targeted for 2026–2028, with commercial production beginning in the first quarter of 2029. An accompanying economic analysis estimates the project could add roughly $107 billion to Texas GDP over several decades.
Local incentives have cleared major hurdles. Lamar Consolidated Independent School District unanimously approved school-tax limitations in September, and Fort Bend County commissioners approved a package of abatements and related agreements in late October that could extend equipment tax breaks for as long as 35 years.
Tesla had previously indicated it was evaluating a competing out-of-state location.
The effort fits broader statements by Musk that Tesla and SpaceX are each working toward 100 gigawatts of annual U.S. solar manufacturing capacity. If built as described, Project Crystal Sun would stand as one of the largest domestic attempts to create a fully integrated solar supply chain on American soil.
While Tesla has not issued a formal groundbreaking announcement, the visible site preparation and high-profile social media activity represent a concrete step forward for a project that has moved from confidential filings to active earthworks in a matter of months.
Cybertruck
Elon Musk keeps justifying Tesla Cybertruck’s cancelation, but it’s confusing
Elon Musk continues to shed more reasons that justify the cancelation of the Tesla Cybertruck, but some of the reasons for the sunset, as well as the process the company is choosing, do not make a lot of sense.
Musk announced last week on X that Tesla would wind down Cybertruck production in mid-2027, a decision that aims to prioritize Cybercab and its importance to the company’s future and passenger transportation as a whole.
But some of what Tesla and Musk are saying does not seem to make much sense. From the process the company is taking with orders to some of the reasoning for the cancelation, the whole situation seems strange.
With that being said: I totally see the merit in prioritizing Cybercab, but I also believe there is room for Cybertruck, a vehicle that has traditionally had low volumes, especially now at its current price point. If it were not for the cancelation, Cybertruck would sell very few units with the recent price adjustments.
Musk Talks Order Rate vs. Production Rate
The first thing that does not make a lot of sense here is the fact that this morning, Musk said that “The Cybertruck order rate far exceeds our production rate. We will try to make as any as possible before shutting down the line in about 8 months, but will have to return deposits for a lot of people.”
The Cybertruck order rate far exceeds our production rate. We will try to make as many as possible before shutting down the line in about 8 months, but will have to return deposits for a lot of people.
This is not a case of Cybertruck being unprofitable, as has been misreported by legacy media, but rather that the opportunity cost of the complexity of Cybertruck is vastly outweighed by the value of incremental Cybercab production.
— Elon Musk (@elonmusk) November 9, 2026
Then why is Tesla STILL accepting orders for the Cybertruck if it already cannot fulfill its order log by mid-2027?
There are so many people ordering Cybertruck that will not receive it. If Tesla already is having trouble seeing how it will build its current orders, why would it allow additional ones?
There are going to be a lot of people who are very upset next June or July, all because they placed an order for a truck that Tesla knew it would not have the time to build. At this point, it seems like a better idea from a customer service standpoint to simply stop accepting orders on a certain date, build those trucks, fulfill those orders, and then close production.
Continuing to accept orders at this point seems wildly strange. If anything, it feels like the $59k Cybertruck orderers will be the ones who get the short end of the stick here, but that’s speculation and just a hunch on my end.
If not Cybertruck, then what?
With only the Model 3 and Model Y available for consumers, meaning the general public, to buy, there is now no utility vehicle in the Tesla lineup, and that is definitely a disappointment.
Ford already washed its hands of the Lightning, which means the Rivian R1T will likely be the best-selling EV pickup on the market, dueling with the GMC Hummer Pickup, Chevy Silverado EV, and the GMC Sierra EV. There are several pickups that are set to hit the market soon, like the Slate EV Truck, and Ford’s new EV pickup, the Fathom.
Tesla could provide some some transparency on what it is planning to do with a future pickup or utility design. Musk said in the past that something much cooler than a minivan will be built. Cries for a full-size SUV have been heard by Tesla, but the company seems to adamant on prioritizing ridesharing vehicles instead of vehicles people want for work, climate, or hobbies.
Some clarity here, past the point of “Tesla is still going to build cars” would be nice. Even a simple, “Yes” response from all the people asking if Tesla will build something larger would be more than enough. We don’t need all the details now, but something would be nice.
Closing Thoughts
More than anything, it is important to note that I do believe Tesla is making a tough decision and one that, from a business standpoint, does make sense. However, I also believe that there is room for the Cybertruck in Tesla’s lineup.
One thing I think it’s worth mentioning is Tesla is not that much different from many companies. They do things that are better for the business that will surely upset consumers. The difference is very few companies have a following like Tesla, so when these things happen, they feel very personal.
Add in the fact that Cybertruck has truly become a symbol of Tesla, and people are even more upset about it.
It will all get figured out, but it’s still very confusing when we step back and take a look at the bigger picture.
Elon Musk
SpaceX’s Anthropic deal has a catch, and Elon Musk just addressed it
Elon Musk says SpaceX’s Anthropic compute deal cuts both ways after Chamath floats higher prices.
Elon Musk pushed back on Sunday against the idea that SpaceX’s compute contract with Anthropic is a one way bet, after venture capitalist Chamath Palihapitiya argued the company could use a termination clause to charge the AI lab far more.
“It works both ways, of course. If compute becomes plentiful and cheap, SpaceX revenue will drop. No crying in the casino for either party,” Musk wrote on X Sunday evening, replying to a clip of Palihapitiya’s comments shared by AI commentator Rohan Paul.
On the All-In podcast released Sunday, Palihapitiya said either side can walk away from the agreement on 90 days’ notice. If data center supply tightens, he argued, SpaceX could exercise that option and bring the contract back at two to three times the current price, and Anthropic would have little choice but to accept. He called it “the kingmaking move,” according to BigGo Finance.
The clause itself is not new. SpaceX disclosed in its IPO filings in May that Anthropic would pay $1.25 billion per month for dedicated capacity at its Colossus clusters through May 2029, nearly $45 billion in total, with both companies able to terminate on 90 days’ notice, as Teslarati reported at the time. SpaceX’s later compute deals with Google and Reflection AI carry similar exit terms.
What has changed is the political backdrop. Palihapitiya’s thesis rests on incoming Democratic governors pulling tax incentives for data centers and slowing new construction. In Texas, Gov.-elect Gina Hinojosa campaigned on a moratorium on new data center approvals, and Deutsche Bank analysts warned last week that SpaceX’s Texas compute capacity could face delays. SpaceX and Tesla shares both fell after the midterm results.
A slowdown would favor companies that already own capacity. SpaceX acquired xAI in February and has been renting data centers to outside AI labs before the space is needed for Grok. At the Baron Investment Conference on Friday, Musk said SpaceX was “getting 50 billion a year for 35 billion dollar investments” and that it can bring a data center online in eight or nine months, compared to two and a half years for competitors. He also said SpaceX is tracking toward an annualized revenue rate above $100 billion in December, with a “best guess” of $500 billion by December 2027.
Musk’s reply points to the other side of the clause. Anthropic has signed large compute agreements with Amazon, Google and Microsoft, and if that capacity comes online faster than new construction slows, the AI lab would have its own leverage to renegotiate or leave. Musk has called Anthropic “obviously currently the leader in AI,” and it remains one of SpaceX’s largest compute customers.
SpaceX shares rose more than 2 percent in overnight trading late Sunday after closing Friday at $134.27, according to Stocktwits.