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Tesla’s Elon Musk will be hosting an AI hackathon party at his house

Tesla Autopilot (Source: Elon Musk | Twitter)

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Elon Musk announced that Tesla will be hosting an AI hackathon, together with the company’s artificial intelligence and autopilot team, at his house in four weeks’ time.

The Tesla chief announced his plans via Twitter on Sunday. Despite impressive numbers revealed during the Q4 2019 earnings call and update, Musk and his Tesla team are not resting on their laurels and remain focused on pursuing advancements to its neural network, which is in the center of Tesla’s goal of achieving a full self-driving vehicle.

During the recent Q4 earnings call, an investor asked the Tesla chief executive for updates on FSD.

“I think that’s looking like maybe it’s going to be couple of months from now. And what isn’t obvious regarding Autopilot and Full Self-Driving is just how much work has been going into improving the foundational elements of autonomy,” Musk said.

Musk continued to explain how the Tesla team is making great strides in labeling efficiency.

“…in terms of labeling, labeling with video in all eight cameras simultaneously. This is a really, I mean in terms of labeling efficiency, arguably like a three order of magnitude improvement in labeling efficiency. For those who know about this, it’s extremely fundamental, so that’s really great progress on that,” Musk said.

Tesla vehicles rely on a custom chip that boasts of 144 tera operations per second (TOPS) for its self-driving capabilities. This two-chip FSD computer works in tandem with LPDDR4 RAM modules that come with a peak bandwidth of 68 GB/s. There are also two neural network accelerators that work in tandem to process as much as 1TB of data per second. This setup is roughly three times faster, about 80%, and about 1.25 times more power-efficient than the previous hardware. It is also able to process about 2,300 frames per second compared to the 110 frames per second processed by Tesla’s Hardware 2.5.

In his series of tweets on Sunday, Musk also mentioned Tesla’s “Dojo” supercomputer, which is speculated to be capable of processing vast amounts of data to train the company’s neural network. Through active learning, Tesla curates the most useful video clips from its fleet of connected cars and train the neural net to recognize things that it did not previously know.

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“Our networks learn from the most complicated and diverse scenarios in the world, iteratively sourced from our fleet of nearly 1M vehicles in real-time. A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep,” Tesla wrote on the Autopilot AI section of its website.

The last major software update rolled out by Tesla allowed its vehicles to visualize more things while driving in inner-city streets. Teslas now render stoplights, stop signs, traffic cones, traffic pylons, and more.

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With the upcoming AI hackathon, Tesla will get together with developers to seek out more efficient algorithms and overall improvements to the core logic for its Full Self-Driving suite through a time-boxed event. With fresh eyes working with the existing AI and autopilot team of Tesla, the carmaker may be able to accelerate the timeline and rollout of its full-featured Full Self-Driving suite sooner.

Further advances in FSD and its Autopilot feature will widen the gap between Tesla and its competitors and solidify the company’s position as one of the leading automakers in the world. These improvements will also take Tesla a step closer to the possibility of Robotaxis that they can deploy at scale.

The hackathon will also allow Tesla to fish for new AI talents to join the team. On Sunday, Musk also mentioned that the electric carmaker is looking for world-class chip designers and C++/C engineers for vehicle control and other functions of Tesla vehicles.

Musk reiterated that educational attainment is not important when joining Tesla but rather a clear understanding of how AI and neural networks function and the ability to build useful applications using that knowledge.

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A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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Tesla supplier Samsung preps for AI5 production with latest move

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team.

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Credit: Tesla

Tesla supplier Samsung is preparing to manufacture the AI5 chip, which will launch the company’s self-driving efforts even further, with its latest move.

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team, which will help resolve complex foundry challenges, stabilize production and yields, and ensure manufacturing goes smoothly for the new project.

The hiring push signals that Tesla’s AI5 project is moving forward quickly at Samsung, which was one of two suppliers to win a contract order from the world’s leading EV maker.

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TSMC is the other. TSMC is using its 3nm process, reportedly, while Samsung will do a 2nm as a litmus test for the process.

The different versions are due to the fact that “they translate designs to physical form differently,” CEO Elon Musk said recently. The goal is for the two to operate identically, obviously, which is a challenge.

Some might remember Apple’s A9 “Chipgate” saga, which found that the chips differed in performance because of different manufacturers.

The AI5 chip is Tesla’s next-generation hardware chip for its self-driving program, but it will also contribute to the Optimus program and other AI-driven features in both vehicles and other projects. Currently, Tesla utilizes AI4, formerly known as HW4 or Hardware 4, in its vehicles.

Tesla teases new AI5 chip that will revolutionize self-driving

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AI5 is specialized for use by Tesla as it will work in conjunction with the company’s Neural Networks, focusing on real-time inference to make safe and logical decisions during operation.

Musk said it was an “amazing design” and an “immense jump” from Tesla’s current AI4 chip. It will be roughly 40 times faster, and have 8 times the raw compute, with 9 times the memory capacity. It is also expected to be three times as efficient per watt as AI4.

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AI5 will make its way into “maybe a small number of units” next year, Musk confirmed. However, it will not make its way to high-volume production until 2027. AI5 is not the last step, either, as Musk has already confirmed AI6 would likely enter production in mid-2028.

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Tesla discloses interesting collaboration partner for Supercharging

This BOXABL collaboration would be a great way to add a rest stop to a rural Supercharging location, and could lead to more of these chargers across the U.S. 

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Credit: Grok

Tesla disclosed an interesting collaboration partner in an SEC filing, which looks like an indication of a potential project at Supercharger sites.

Tesla said on Tuesday in the filing that it was entering an agreement with BOXABL to design and build a Micromenity structure. Simply put, this is a modular building, usually a few hundred square feet in size, and it has been seen at Superchargers in Europe.

In Magnant, France, Tesla opened a small building at a Supercharger that is available to all EV owners. There are snacks and drinks inside, including ice cream, coffee, a gaming console, and restrooms. It gives people an opportunity to get up and out of their cars while charging.

This building was not built by BOXABL, but instead by bk World Lounges. It is likely the final Supercharging stop before people get to Paris, as it is located 250 kilometers, or 155 miles, from the City of Light.

 

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Une publication partagée par Gerold Wolfarth (@gerold_wolfarth)

Magnant has 56 stalls, so it is a large Supercharging stop compared to most. The building could be a sign of things to come, especially as Tesla has opened up larger Supercharger stations along major roadways.

It is for just a single building, as the Scope of Work within the filing states “a comprehensive package for one Micromenity building.”

Superchargers are commonly located at gas stations, shopping centers, and other major points of interest. However, there are some stops that are isolated from retail or entertainment.

This BOXABL collaboration would be a great way to add a rest stop to a rural Supercharging location, and could lead to more of these chargers across the U.S.

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Tesla has done a lot of really great things for Supercharging this year.

Along with widespread expansion, the company launched the “Charging Passport” this week, opened the largest Supercharger in the world in Lost Hills, California, with 168 chargers, opened the Tesla Diner, a drive-in movie restaurant in Los Angeles, and initiated access to the infrastructure to even more automakers.

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Tesla CEO Elon Musk confirms Robotaxi safety monitor removal in Austin: here’s when

Musk has made the claim about removing Safety Monitors from Tesla Robotaxi vehicles in Austin three times this year, once in September, once in October, and once in November.

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Credit: @AdanGuajardo/X

Tesla CEO Elon Musk confirmed on Tuesday at the xAI Hackathon that the company would be removing Safety Monitors from Robotaxis in Austin in just three weeks.

This would meet Musk’s timeline from earlier this year, as he has said on several occasions that Tesla Robotaxis would have no supervision in Austin by the end of 2025.

On Tuesday, Musk said:

“Unsupervised is pretty much solved at this point. So there will be Tesla Robotaxis operating in Austin with no one in them. Not even anyone in the passenger seat in about three weeks.”

Musk has made the claim about removing Safety Monitors from Tesla Robotaxi vehicles in Austin three times this year, once in September, once in October, and once in November.

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In September, he said:

“Should be no safety driver by end of year.”

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On the Q3 Earnings Call in October, he said:

“We are expecting ot have no safety drivers in at least large parts of Austin by the end of this year.”

Finally, in November, he reiterated the timeline in a public statement at the Shareholder Meeting:

“I expect Robotaxis to operate without safety drivers in large parts of Austin this year.”

Currently, Tesla uses Safety Monitors in Austin in the passenger’s seat on local roads. They will sit in the driver’s seat for highway routes. In the Bay Area ride-hailing operation, there is always a Safety Monitor in the driver’s seat.

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Three weeks would deliver on the end-of-year promise, cutting it close, beating it by just two days. However, it would be a tremendous leap forward in the Robotaxi program, and would shut the mouths of many skeptics who state the current iteration is no different than having an Uber.

Tesla has also expanded its Robotaxi fleet this year, but the company has not given exact figures. Once it expands its fleet, even more progress will be made in Tesla’s self-driving efforts.

Tesla expands Robotaxi geofence, but not the garage

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