LNG: TESLARATI

A few of Elon Musk’s most notable creations, including the newly released Cybertruck, “Cyberquad” ATV, and Boring Co. “Not-a-Flamethrower” managed to make it into a new music video from noted rapper Travis Scott.

Tesla’s recently unveiled Cybertruck and its matching ATV were included in Scott’s video, which has gained over 1.1 million views in less than 24 hours. Scott’s most recent project didn’t just include Tesla’s latest creations, either, as the track also included a group named “JACKBOYS,” featuring a number of notable names in the entertainment industry.

The song in the video is titled “GANG GANG” and features artists like Sheck Wes, Don Toliver, and Luxury Tax. Despite all of these names, the stars of the show were arguably the all-electric Tesla Cybertruck and Cyberquad. Scott, recognized by his alias “Huncho Jack” in the video, can be seen riding around in the ATV in various scenes. The Cybertruck and Cyberquad’s scenes in the music video seemed to have been shot at Tesla’s Design Center in Hawthorne, CA as well.

Known for his relationship with pop-culture figure Kylie Jenner, Travis Scott’s 2018 album “Astroworld” won the 2019 BET Hip Hop’s Best Album of the Year award and received nominations for the 2019 Grammy Awards “Best Rap Album” and the 2019 Billboard Music Awards Top Album. The album was streamed 349.43 million times in its first week, making it the fifth-largest streaming album in one week.

Scott’s most recent album has catapulted his success into extraordinary levels. It is unknown how the artist gained access to the Cybertruck or the elusive ATV, but it is likely his increased popularity has gained credibility with some of the world’s most influential figures. This includes Tesla CEO Elon Musk. In fact, Musk was spotted with some of the biggest names in celebrity culture at the annual Kardashian Christmas Party in late December. Musk was seen with girlfriend Grimes, along with Kim Kardashian-West and husband Kanye West and Travis Scott.

The Cybertruck has three different variants and starts at $39,900 for its Single-Motor trim, $49,900 for the Dual-Motor, and $69,900 for the Tri-Motor. The truck has become one of the most talked-about vehicles of the year, especially following recognition from names like Min-Liang Tan of the Razer gaming hardware company and UFC Superstar Conor McGregor. The truck’s interesting and unique build continues to defy stereotypes, becoming one of the most popular topics of the year as a result.

You can watch the GANG GANG music video from JACKBOYS that features the Cybertruck, ATV, and the Not-a-Flamethrower below.

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Tesla’s first V3 Supercharger in China went online today and is now officially open to the public in Jinqiao, Shanghai. The 250 kW Supercharger, capable of charging at over 1,000 miles per hour, is one of many to come as the electric carmaker prepares for mass deliveries of its locally-made Model 3 electric sedan. Tesla currently has nearly 300 Superchargers across 140 cities in China and will continue to upgrade its charging infrastructure with third-generation Superchargers.

By cutting the charging time of Tesla’s electric vehicles, especially at busy locations like the Shanghai Supercharger in Jinqiao, Tesla will ensure better throughput at each station thereby minimizing the need to increase the number of stalls, while supporting a higher volume of vehicles.

Tesla Supercharger V3 stalls in Shanghai, China (Credit: Tesla China)

Tesla Model 3 touchscreen V3 Supercharging China (Credit: Tesla China via Ray4Tesla/Twitter)

Tesla Model 3 Supercharger V3 in Shanghai, China (Credit: Tesla China)

H/T to @Ray4Tesla

Tesla’s first V3 Supercharger went live last March in Fremont, California and wowed the electric vehicle community with 1MW power cabinet with peak rates of as high as 250kW per car.

“Supercharger stations with V3’s new power electronics are designed to enable any owner to charge at the full power their battery can take – no more splitting power with a vehicle in the stall next to you. With these significant technical improvements, we anticipate the typical charging time at a V3 Supercharger will drop to around 15 minutes,” Tesla wrote on its blog.

Overall, Tesla has around 15,000 operational Supercharger stalls across the globe, a big milestone it achieved earlier this month. This network handles around 64,000 sessions a day and uses roughly 2.25GWh of energy.

While Tesla does not disclose the number of live V3 Superchargers today, it continues the expansion of its network. Just last week, the carmakers Trans-Canada Supercharger route that consists mainly of V3 Superchargers went live. In the same period, London Tesla owners welcomed the arrival of V3 Superchargers in the country.

Here’s a short video from Tesla China showcasing the newly-opened V3 Supercharger in Shanghai:

Tesla China’s first V3 Supercharger station is officially open to public, located at Jinqiao, Shanghai. pic.twitter.com/rg6xLCT4HV

— Tesla China (@teslacn) December 27, 2019

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Tesla’s Neural Net continues to improve and become more advanced on a daily basis, but it appears that the electric car maker is making sure that it will evolve at an even faster rate in the future. A recent patent, for example, would allow Tesla’s autonomous driving systems to work more efficiently, thanks to a new data pipeline focused on optimized image processing.

Tesla’s patent for “Data Pipeline and Deep Learning System for Autonomous Driving” was published on December 26. The idea behind the patent is to revolutionize and improve upon past deep learning systems that have been used for autonomous driving vehicles. In the past, these systems have used “captured sensor data” to retrieve information.

Tesla recognizes the need for new sensors when data becomes more complex. According to the electric car maker’s patent, there is “a need for a customized data pipeline that can maximize the signal information from the captured sensor data and provide a higher level of signal information to the deep learning network for deep learning analysis.”

The system described in this patent would capture an image using any of the sensors or cameras on the vehicle. In this case, this would describe a high dynamic range camera, camera sensor, radar sensor, or ultrasonic sensor. The image would then be broken down through a “high-pass” or ‘lo-pass” filter and a series of processors would then decipher what the image means.

The flowchart below describes what the process of the vehicle learning the information would look like. “Receive Sensor Data” is the first portion of this process. Then, data will be broken down and pre-processed for the system to then begin its “Deep Learning Analysis.” The results will then be passed along to the vehicle’s Artificial Intelligence Processor to be utilized during vehicle control.

In another process, the series of information that is retrieved from these images will be compared to data compiled from other Tesla users on a global scale. This will alleviate concerns that drivers may have that the system could perform the wrong process when driving autonomously. The aim of the patent is to create a safe driving experience and improve upon the already solid performance of Tesla’s autonomous driving software, and do so in a process that is more efficient than before.

By using this process, Tesla is able to maintain as much resolution as possible from the images captured by its vehicles’ cameras and sensors. This then allows the Neural Network to more efficiently learn from the data packets that it is receiving. This allows the Neural Network to work with better images in a more efficient manner as well, which opens the doors to faster autonomous driving improvements. These efficiencies would work very well with the additional horsepower offered by Tesla’s Hardware 3 computer, which is specifically designed for full self-driving with built-in redundancies.

Building upon the foundation that Tesla has already laid down in terms of its Full Self Driving suite, the recent patent suggests that the company is now attempting to narrow down on the finer points of its software’s performance. The addition of this patent will not only create a safer driving experience for owners of Tesla vehicles but will bring the quickly approaching future of fully-autonomous vehicles even closer to completion.

The full text of Tesla’s new data pipeline and deep learning patent could be viewed here.

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Tesla Made-in-China Model 3 electric sedans will be exempted from a 10 percent purchase tax, the country’s Ministry of Industry and Information Technology announced on Friday. This is a win for Tesla, a company that’s trying to penetrate the largest electric car market in the world.

The locally-made Model 3 was initially priced to start at around $50,000 and the latest announcement from Chinese authorities spells significant savings for consumers. At Tesla’s end, the tax exemption is a big boost for its mass-produced electric sedan, which is set for a head-on collision with local EV offerings and rival electric and electrified cars from automotive giants such as BMW and Daimler.

The purchase tax exemption for made-in-china Model 3s reported by Bloomberg today does not come as a surprise, as a similar concession was reached in August when a 10 percent purchase tax exemption was granted to 16 variants of Tesla Model S, X, and 3 that are sold in the country.

Earlier this month, two variants of the Model 3 were also included in the list of new energy vehicles that will receive subsidies of around $3,600 from the government.

There were brief reports in mid-December that the U.S. carmaker will lower the prices of locally-made Model 3 units by 20 percent and while this was quickly refuted by Tesla China, speculations remain that it may eventually slash the electric sedan’s price to make the vehicle more attractive to the mass market. This is consistent with CEO Elon Musk statements before that China might be its biggest market for the Model 3 and that demand for the Model 3 might hit 5,000 units a week in the long-term.

The latest tax exemption granted to the brand comes amid news that Tesla has secured a $1.29 billion loan from Chinese banks that will be used to support the construction and production at its Gigafactory 3. The new loan can also be used to pay for a debt that was used to construct the first phase of its Shanghai-based facility, which is due March 2020.

Prior to the deliveries of the Model 3 in the country, the first Tesla V3 Supercharger went online. Recently, the company also posted job listings to beef up its Gigafactory 3 workforce as it ramps up Model 3 production.

Tesla is closing the year strong with these developments in China, as well as positive news coming out of Germany where it is currently hoping to lay the first brick of its Gigafactory 4 in Brandenburg. As a result, Tesla stock has been rising this holiday season, making the company one of the best performing automotive stocks of the year, hitting the mythical $420 mark on Monday and hitting the $430 level on Thursday.

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Tesla Model S taxis now roam the streets of Dusseldorf as local operator Taxi Norman added two electric vehicles to its fleet, with plans to add 50 Model 3 emission-free taxis in the next few weeks.

While the company spent 105,000 euros for each of the Model S taxis and 45,000 euros each for the Tesla Model 3 units, the German operator began the switch to a green fleet not only to be more environment-friendly but to boost profits as well. With the support of the local government, Taxi Norman will only spend around 35 euros ($38) to charge each Tesla taxi a month compared to 750 euros ($830) of fuel per month for each of its diesel units. Overall, it can save the company around 36,000 euros (around $39,000) when the fuel expenditure of internal combustion taxis is compared to the cost of charging the same number of electric vehicles.

Aside from saving on fuel expenses, Taxi Norman will also save its bank account from maintenance costs.  “The cars are also much easier to care for. An old car costs us 6,000 euros ($6,600) a year. The expenses are now gone. We also save on fuel costs through cheaper electricity, ” said Managing Director Erol Norman.

Likewise, customers welcome the development. “Anyway, my drivers are totally satisfied. Customers are so enthusiastic about the driving experience in the electric car that they give higher tips. One received a tip of ten euros for a trip that cost seven euros,”  Norman added.

The investment in a greener taxi fleet is highly appreciated by the local government. Local Council member and Chairman of the Environment Committee Philipp Tacer promised to initiate taxi regulations that will further benefit the likes of Taxi Norman that invests in electric taxis. The local government plans to build taxi stops that will be exclusive for electric taxis

Taxi Norman operates a fleet of 150 vehicles in Dusseldorf and plans to complete the switch to electric taxis by 2023.

Looking at the overall picture, Germany has an ambitious goal of cutting its greenhouse gas emissions by 40 percent compared to the 1990 levels come 2020 and one of its core strategies is to increase the share of renewable energies in total energy consumption. One crucial step in this strategy is to raise its renewable energy use in the transport sector.

While Germany delayed its goal of having one million electric vehicles on the road by 2020, the government shows great support for those who want to purchase EVs. Under a new agreement between the government and the car industry, Germany increased the subsidies for cars costing around $44,500 to around $6,700 from around $4,500. Incentives for pricier electric cars were also increased by 25%, however, EVs over 60,000 euros are not supported by the said program.

In the EU, the country is one of the frontrunners in the production of electric vehicles per capita. One can only expect a good boost in this aspect when Tesla begins the production of electric vehicles in its upcoming Gigafactory 4 in Brandenburg. The electric car manufacturer is just awaiting the last hurdles before clearing activities on the approved site begin.

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