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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.
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Tesla’s new Holiday perk is timed perfectly to make FSD a household name
Tesla AI4 owners get FSD (Supervised) through Christmas, New Year’s Eve and well into the post-holiday travel season.
Tesla quietly rolled out a free Full Self-Driving (Supervised) trial for roughly 1.5 million HW4 owners in North America who never bought the package, and the timing could very well be genius.
As it turns out, the trial doesn’t end after 30 days. Instead, it expires January 8, 2026, meaning owners get FSD (Supervised) through Christmas, New Year’s Eve and well into the post-holiday travel season. This extended window positions the feature for maximum word-of-mouth exposure.
A clever holiday gift
Tesla watcher Sawyer Merritt first spotted the detail after multiple owners shared screenshots showing the trial expiring on January 8. He confirmed with affected users that none had active FSD subscriptions before the rollout. He also observed that Tesla never called the promotion a “30-day trial,” as the in-car message simply reads “You’re Getting FSD (Supervised) For the Holidays,” which technically runs until after the new year.
The roughly 40-day period covers peak family travel and gatherings, giving owners ample opportunity to showcase the latest FSD V14’s capabilities on highway trips, crowded parking lots and neighborhood drives. With relatives riding along, hands-off highway driving and automatic lane changes could become instant conversation starters.
Rave reviews for FSD V14 highlight demo potential
FSD has been receiving positive reviews from users as of late. Following the release of FSD v14.2.1, numerous owners praised the update for its smoothness and reliability. Tesla owner @LactoseLunatic called it a “huge leap forward from version 14.1.4,” praising extreme smoothness, snappy lane changes and assertive yet safe behavior that allows relaxed monitoring.
-->Another Tesla owner, @DevinOlsenn, drove 600 km without disengagements, noting his wife now defaults to FSD for daily use due to its refined feel. Sawyer Merritt also tested FSD V14.2.1 in snow on unplowed New Hampshire roads, and the system stayed extra cautious without hesitation. Longtime FSD tester Chuck Cook highlighted improved sign recognition in school zones, showing better dynamic awareness. These reports of fewer interventions and a more “sentient” drive could turn family passengers into advocates, fueling subscriptions come January.
Elon Musk
Elon Musk predicts AI and robotics could make work “optional” within 20 years
Speaking on entrepreneur Nikhil Kamath’s podcast, Musk predicted that machines will soon handle most forms of labor, leaving humans to work only if they choose to.
Elon Musk stated that rapid advances in artificial intelligence and robotics could make traditional work unnecessary within two decades.
Speaking on entrepreneur Nikhil Kamath’s podcast, Musk predicted that machines will soon handle most forms of labor, leaving humans to work only if they choose to.
Work as a “hobby”
During the discussion, Musk said the accelerating capability of AI systems and general-purpose robots will eventually cover all essential tasks, making human labor a choice rather than an economic requirement. “In less than 20 years, working will be optional. Working at all will be optional. Like a hobby,” Musk said.
When Kamath asked whether this future is driven by massive productivity growth, Musk agreed, noting that people will still be free to work if they enjoy the routine or the challenge. He compared future employment to home gardening, as it is something people can still do for personal satisfaction even if buying food from a store is far easier.
“Optional” work in the future
Elon Musk acknowledged the boldness of his claim and joked that people might look back in 20 years and say he was wrong. That being said, the CEO noted that such a scenario could even happen sooner than his prediction, at least if one were to consider the pace of the advancements in AI and robotics.
-->“Obviously people can play this back in 20 years and say, ‘Look, Elon made this ridiculous prediction and it’s not true,’ but I think it will turn out to be true, that in less than 20 years, maybe even as little as ten or 15 years, the advancements in AI and robotics will bring us to the point where working is optional,” Musk said.
Elon Musk’s comments echo his previous sentiments at Tesla’s 2025 Annual Shareholder Meeting, where he noted that Optimus could ultimately eliminate poverty. He also noted that robots like Optimus could eventually provide people worldwide with the best medical care.
Elon Musk
Elon Musk reiterates why Tesla will never make an electric motorcycle
Tesla CEO Elon Musk preemptively shut down speculations about a Tesla road bike once more.
Tesla CEO Elon Musk preemptively shut down speculations about a Tesla road bike once more, highlighting that the electric vehicle maker has no plans to enter the electric motorcycle market.
Musk posted his clarification in a post on X.
Musk’s reply to a fun AI video
X user @Moandbhr posted an AI video featuring the Tesla CEO on the social media platform, captioning it with “Mr. Elon Musk Just Revealed the Game-Changing Tesla Motorcycle.” The short clip depicted Musk approaching a sleek, single-wheeled vehicle, stepping onto it, and gliding off into the distance amid cheers. The fun video received a lot of traction on X, gaining 3.1 million views as of writing.
Musk replied to the post, stating that a Tesla motorcycle is not going to happen. “Never happening, as we can’t make motorcycles safe. For Community Notes, my near death experience was on a road bike. Dirt bikes are safe if you ride carefully, as you can’t be smashed by a truck,” Musk wrote in his reply.
Musk’s Past Comments on Two-Wheelers
Musk also detailed his reservations about motorcycles in a December 2019 X post while responding to questions about Tesla’s potential ATV. At the time, he responded positively to an electric ATV, though he also opposed the idea of a Tesla road-going motorcycle. Musk did state that electric dirt bikes might be cool, since they do not operate in areas where large vehicles like Class 8 trucks are present.
-->“Electric dirt bikes would be cool too. We won’t do road bikes, as too dangerous. I was hit by a truck & almost died on one when I was 17,” Musk wrote in his post.
Considering Musk’s comments about dirt bikes, however, perhaps Tesla would eventually offer a road bike as a recreational vehicle. Such a two-wheeler would be a good fit for the Cybertruck, as well as future products like the Robovan, which could be converted into an RV.
Tesla’s new Holiday perk is timed perfectly to make FSD a household name
Elon Musk predicts AI and robotics could make work “optional” within 20 years
