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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 begins validating Robotaxi in a new area, hinting at expansion

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Credit: Tesla

Tesla is validating Robotaxi in a new area, and as the company has continued to gain some additional permissions to begin testing in new states, it seems its Full Self-Driving-based ride-hailing project is moving toward a larger footprint.

Two Robotaxi units with LiDAR validation equipment were spotted in Gilbert, Arizona, recently, showing that Tesla is aiming to launch its ride-hailing service in the state soon:

Another unit was spotted in Tempe, Arizona:

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These types of validation vehicles have been spotted in several areas ahead of their launch as a public ride-hailing service for passengers. Tesla first launched Robotaxi in Austin, Texas, back in late June, and since then, it has expanded to the Bay Area of California.

However, Tesla has continued to attempt to expand Robotaxi to other areas as well, including Nevada and Arizona. It has also been working toward approvals in other states based on job postings, as Tesla is hiring for Autopilot Vehicle Operators in New York and Florida, as well.

The expansion of the Robotaxi ride-hailing service has been an effort that Tesla has been spending a lot of time on over the past few months. CEO Elon Musk said the expansion aims to bring Robotaxi to at least half of the U.S. population by the end of the year, but there is still plenty of work to be done.

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Tesla Robotaxi heads to a new major Texas city for the first time

Tesla did make its Robotaxi app public in recent months, allowing more members of the public to experience the suite for themselves, as long as they could get to Austin or the Bay Area.

In the coming months, it seems more apparent that Tesla will take a broader focus on expanding Robotaxi, especially with the fact that these validation vehicles are being spotted throughout different parts of the United States.

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Tesla mulls revamping $25k car, strange report claims

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Credit: Tine Rusc

Tesla is reportedly mulling the potential revamp of its $25,000 vehicle project, a strange report claims.

It seems unlikely, especially since Tesla launched two new, more affordable models last week with the Model 3 and Model Y Standard trims.

However, a report from European media outlet 36kr claims Tesla has started to advance two vehicle projects, internally codenamed E41 and D50, in China.

People familiar with the matter reportedly told the outlet that “some design and verification reports of the new projects are inherited from the current Model Y and Model 3.”

Tesla axed one of the Model Y’s best features in ‘Standard’ trims: here’s why

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These new simplified models would be priced between $5,000 and $5,500 cheaper than what the new ‘Standard’ trims cost. The report also claims that these vehicles would be launched only if the new ‘Standard’ models “fall short of sales expectations.”

This report suggests that potentially more affordable models are being offered, but this seems unlikely, considering Tesla launched the two Standard models just last week, and the only truly affordable model it is working on will be the Cybercab.

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However, there is potential for a car to launch that undercuts the newest configurations of the Model 3 and Model Y. As of now, it just seems as if it is something that is far-fetched.

When Tesla’s patent for the unboxed process was published just last month, it seemed more than obvious that the vehicle it would be used for was the Cybercab.

The language used in the patent itself was geared toward more streamlined and quality production and manufacturing, which Tesla must implement to meet the likely demand for the vehicle.

It will be easier to scale vehicles with the unboxed process, and the Cybercab has been routinely mentioned with the sub-$30,000 price tag, even by CEO Elon Musk.

He said during the Q3 2024 Earnings Call:

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“I think having a regular 25K model is pointless. It would be silly. Like it would be completely at odds with what we believe…It’s fully considered cost per mile is what matters. And if you try to make a car that is essentially a hybrid, manual, or automatic car, it’s not going to be as good as a dedicated autonomous car. So, yes, Cybercab is just not going to have steering wheels and pedals.”

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SpaceX aces Starship’s 11th launch with success in every mission objective

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Credit: SpaceX

SpaceX aces its eleventh Starship test launch on Monday evening, marking the company’s second consecutive takeoff that crossed off each of the planned mission objectives.

It was also the final launch of the V2 Starship rocket. The twelfth test flight will feature the larger V3 Starship rocket, followed by V4, which will eventually make the first trip to Mars.

The launch was overwhelmingly successful. In its 12th test flight, SpaceX was able to achieve every major mission objective, including the second successful deployment of Starlink satellite simulators and the relight of a Raptor engine while in space. The latter achievement demonstrated “a critical capability for future deorbit burns,” the company said.

The ship officially launched at 6:23 p.m. local time in Starbase, Texas, with all 33 engines igniting and sending the Ship to space.

Stage separation occurred just over eight minutes later, and Super Heavy started its descent back to the Gulf of America, where it successfully splashed down. The first part of the launch was complete.

Starlink simulators were deployed about twenty-one minutes after launch, as the Pez dispenser sent the faux-satellites out to space without any issue:

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Perhaps the most anticipated part of the launch was with Starship’s banking maneuver and subsequent splashdown in the Indian Ocean.

Prior to Starship 11’s launch and successful re-entry and splashdown, SpaceX had lost a few vehicles during this portion of the previous flights.

However, the company had made tremendous improvements and has now aced two consecutive launches. On Monday, its approach and splashdown were both overwhelmingly successful:

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The re-entry phase of this particular Starship launch aimed to gather data on the performance of the heatshield, SpaceX said. The heatshield was intentionally stressed to its limits to determine how much it could withstand without failing.

SpaceX will now turn its focus to the next vehicles, including V3, which is larger, more capable, and will help the company gather even more information about its launches into space:

CEO Elon Musk has said the third-generation Starship rocket will be built and tested by the end of the year.

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