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Tesla’s Neural Network adaptability to hardware highlighted in new patent application

(Credit: Tesla Driver/YouTube)

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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.

Credit: Tesla/USPTO

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.

Credit: Tesla/USPTO

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.

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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 CEO Elon Musk’s $1 trillion pay package hits first adversity from proxy firm

ISS said the size of the pay package will enable Musk to have access to “extraordinarily high pay opportunities over the next ten years,” and it will have an impact on future packages because it will “reduce the board’s ability to meaningfully adjust future pay levels.”

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Tesla CEO Elon Musk’s $1 trillion pay package, which was proposed by the company last month, has hit its first bit of adversity from proxy advisory firm Institutional Shareholder Services (ISS).

Musk has called the firm “ISIS,” a play on its name relating it to the terrorist organization, in the past.

The pay package aims to lock in Musk to the CEO role at Tesla for the next decade, as it will only be paid in full if he is able to unlock each tranche based on company growth, which will reward shareholders.

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However, the sum is incredibly large and would give Musk the ability to become the first trillionaire in history, based on his holdings. This is precisely why ISS is advising shareholders to vote against the pay plan.

The group said that Musk’s pay package will lock him in, which is the goal of the Board, and it is especially important to do this because of his “track record and vision.”

However, it also said the size of the pay package will enable Musk to have access to “extraordinarily high pay opportunities over the next ten years,” and it will have an impact on future packages because it will “reduce the board’s ability to meaningfully adjust future pay levels.”

The release from ISS called the size of Musk’s pay package “astronomical” and said its design could continue to pay the CEO massive amounts of money for even partially achieving the goals. This could end up in potential dilution for existing investors.

If Musk were to reach all of the tranches, Tesla’s market cap could reach up to $8.5 trillion, which would make it the most valuable company in the world.

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Tesla has made its own attempts to woo shareholders into voting for the pay package, which it feels is crucial not only for retaining Musk but also for continuing to create value for shareholders.

Tesla launched an ad for Elon Musk’s pay package on Paramount+

Musk has also said he would like to have more ownership control of Tesla, so he would not have as much of an issue with who he calls “activist shareholders.”

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Tesla is adding an interesting feature to its centerscreen in a coming update

In a recent dissection of coding, Tesla hacker green noticed that the company is bringing in screenshare with Software Update 2025.38

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Credit: Tesla

Tesla is adding an interesting feature to its center touchscreen in a coming update, according to a noted hacker.

In a recent dissection of coding, Tesla hacker green noticed that the company is bringing in screenshare with Software Update 2025.38. Details on the use case are slim, but he said the feature would export the car screen so it could be viewed remotely.

It would bring up a notification on the screen, along with a four-digit pin that would link the two together:

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As previously mentioned, the use case is unclear, but there are some ideas. One of which is for remote support, which is something Apple has used to help resolve issues with its products.

Support staff and employees routinely tap into customers’ screens to help resolve issues, so this could be a way Tesla could also use it.

This seems especially relevant with Robotaxi, as the screen might be a crucial part of resolving customer complaints when there is no employee in the car.

Additionally, it seems as if it will not be exclusive to those owners who have newer vehicles that utilize the AMD chip. Intel will get support with the new feature as well, according to what green has noticed in the coding.

Finally, it could also be used with all sorts of content creation, especially as Full Self-Driving videos and what the vehicle sees in Driver Visualization.

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As it is released, Tesla will likely release more information regarding what the screensharing mode will be used for.

For right now, many owners are wondering where it could actually work and what advantages it will offer for owners as well as the company itself.

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SpaceX posts Starship booster feat that’s so nutty, it doesn’t even look real

The Super Heavy booster’s feat was so impressive that the whole maneuver almost looked like it was AI-generated.

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Credit: SpaceX/X

SpaceX has shared a video of a remarkable feat achieved by Starship’s Super Heavy booster during its 11th flight test.

The Super Heavy booster’s feat was so impressive that the whole maneuver, which was captured on video, almost looked like it was AI-generated.

Super Heavy’s picture perfect hover

As could be seen in the video shared by SpaceX, Starship’s Super Heavy booster, which is nearly 400 feet tall, smoothly returned to Earth and hovered above the Gulf of America for a few seconds before it went for its soft water landing. The booster’s picture-perfect maneuver before splashing down all but capped a near-flawless mission for Starship, which is about to enter its V3 era with Flight 12.

The booster’s balance and stability were so perfect that some users on X joked that the whole thing looked AI-generated. Considering the size of Super Heavy, as well as the fact that the booster was returning from space, the hovering display all but showed that SpaceX is dead serious about keeping its dominant lead in the spaceflight sector.

Starship V2’s curtain call

As noted in a Space.com report, Flight Test 11 achieved every major goal SpaceX had set for the mission, including deploying Starlink mass simulators, relighting Raptor engines in space, and executing a stable reentry for both the Starship Upper Stage and the Super Heavy booster. The feat also marked the second time a Super Heavy booster has been reflown, a milestone in SpaceX’s quest to make the entire Starship system fully reusable.

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Starship’s V2 vehicle will now give way to the upgraded Starship V3, which is designed for faster turnaround and higher payload capacity. The Starship program is expected to pursue even more aggressive targets in the coming months as well, with Elon Musk stating on social media platform X that SpaceX will attempt a tower catch for Starship Upper Stage as early as spring 2026.

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