Tesla Introduces New Wall Connector With Magic Dock Type Solution

By Kevin Armstrong
Tesla introduces the Universal Wall Connector with integrate J1772 adapter
Tesla introduces the Universal Wall Connector with integrate J1772 adapter
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Tesla is set to launch a Universal Wall Connector this October. This isn't just another product in the Tesla store; it's a charging solution designed to bridge the divide between Tesla owners and the wider EV community.

A Glimpse of the Future: NACS Transition and Industry Alignment

The key to this bridging is integrating the J1772 connector standard, the current go-to specification for charging non-Tesla electric vehicles in North America. Yet, this move also aligns with a significant industry shift. Ford, Fisker, GM, Mercedes, Nissan, Polestar, Rivian, and Volvo have announced their intentions to adopt Tesla's North America Charging Standard (NACS). While some automakers transition towards NACS, they still need time to convert, and several non-Tesla EVs are already on the road utilizing J1772.

By incorporating the J1772 standard, Tesla's Universal Wall Connector provides a bridge solution. It caters to Tesla owners and anyone driving an electric vehicle that uses J1772.

Universal Wall Connector in Action

The solution is similar to Tesla's Magic Dock for Superchargers, which allows customers to seamlessly switch between a CCS 1 connector and Tesla's NACS connector. This new Wall Connector will enable owners to charge their current vehicles with the included J1172 adapter and be prepared for future EVs that may utilize the NACS connector. This compatibility ensures a smoother transition for automakers moving from J1772 to NACS.

Versatility and Connectivity: Features of the Universal Wall Connector

The implications of this move are noteworthy. Traditionally, Tesla and non-Tesla EV owners had to rely on different charging solutions, often leading to inconvenience and added costs. Tesla's latest product, however, erases this division. It offers a charging solution that provides up to 44 miles of range per hour through an 11.5 kW/48-amp output, suitable for both Tesla and non-Tesla EVs, matching the current Gen-3 Wall Connector output.

Flexibility is another strong point of the Universal Wall Connector. Its design suits various locations, from homes to commercial properties. Owners can monitor and manage charging schedules through the Tesla app, and its Wi-Fi connectivity ensures easy updates and remote diagnostics.

Priced at $595 in the USA and $785 in Canada, the Universal Wall Connector doesn't just score points for inclusivity; it's a competitively priced offering in the charging market.

Integrating the J1772 standard into the Universal Wall Connector reflects Tesla's understanding of the current and future landscape of EV charging. It positions the product as a forward-thinking solution that recognizes major automakers' gradual transition towards NACS. Tesla's Universal Wall Connector is an intelligent response in a market moving towards standardization and interconnectivity, symbolizing a commitment to an electric future that caters to all.

Tesla’s Optimus Robot Learns to Walk Without Vision [VIDEO]

By Karan Singh
Optimus Falls - but catches itself!
Optimus Falls - but catches itself!
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Tesla recently showed off a demo of Optimus, its humanoid robot, walking around in moderately challenging terrain—not on a flat surface but on dirt and slopes. These things can be difficult for a humanoid robot, especially during the training cycle.

A Look Behind the Curtain

Most interestingly, Milan Kovac, VP of Engineering for Optimus, clarified what it takes to get Optimus to this stage. Let’s break down what he said.

Optimus is Blind

Optimus is getting seriously good at walking now - it can keep its balance over uneven ground - even while walking blind. Tesla is currently using just the sensors, all powered by a neural net running on the embedded computer. 

Essentially, Tesla is building Optimus from the ground up, relying on as much additional data as possible while it trains vision. This is similar to how they train FSD on vehicles, using LiDAR rigs to validate the vision system’s accuracy. While Optimus doesn’t have LiDAR, it relies on all those other sensors on board, many of which will likely become simplified as vision takes over as the primary sensor.

Today, Optimus is walking blind, but it’s able to react almost instantly to changes in the terrain underneath it, even if it falls or slips. 

What’s Next?

Next up, Tesla AI will be adding vision to Optimus - helping complete the neural net. Remember, Optimus runs on the same overall AI stack as FSD - in fact, Optimus uses an FSD computer and an offshoot of the FSD stack for vision-based tasks.

Milan mentions they’re planning on adding vision to help the robot plan ahead and improve its walking gait. While the zombie shuffle is iconic and a little bit amusing, getting humanoid robots to walk like humans is actually difficult.

There’s plenty more, too - including better responsiveness to velocity and direction commands and learning to fall and stand back up. Falling while protecting yourself to minimize damage is something natural to humans - but not exactly natural to something like a robot. Training it to do so is essential in keeping the robot, the environment around it, and the people it is interacting with safe.

We’re excited to see what’s coming with Optimus next because it is already getting started in some fashion in Tesla’s factories.

Is Tesla Close to Licensing FSD? GM Quits Cruise, BMW Praises Tesla

By Karan Singh
Not a Tesla App

In a relatively surprising move, GM announced that it is realigning its autonomy strategy and prioritizing advanced driver assistance systems (ADAS) over fully autonomous vehicles.

GM is effectively closing Cruise (autonomous) and focusing on its Super Cruise (ADAS) feature. The engineering teams at Cruise will join the GM teams working on Super Cruise, effectively shuttering the fully autonomous vehicle business.

End of Cruise

GM cites that “an increasingly competitive robotaxi market” and “considerable time and resources” are required for scaling the business to a profitable level. Essentially - they’re unable to keep up with competitors at current funding and research levels, putting them further and further behind.

Cruise has been offering driverless rides in several cities, using HD mapping of cities alongside vehicles equipped with a dazzling array of over 40 sensors. That means that each cruise vehicle is essentially a massive investment and does not turn a profit while collecting data to work towards Autonomy.

Cruise has definitely been on the back burner for a while, and a quick glance at their website - since it's still up for now - shows the last time they officially released any sort of major news packet was back in 2019. 

Competition is Killer

Their current direct competitor - Waymo, is funded by Google, which maintains a direct interest in ensuring they have a play in the AI and autonomy space.

Interestingly, this news comes just a month after Tesla’s We, Robot event, where they showed off the Cybercab and the Robotaxi network, as well as plans to begin deployment of the network and Unsupervised FSD sometime in 2025. Tesla is already in talks with some cities in California and Texas to launch Robotaxi in 2025.

GM Admits Tesla Has the Right Strategy

As part of the business call following the announcement, GM admitted that Tesla’s end-to-end and Vision-based approach towards autonomy is the right strategy. While they say Cruise started down that path, they’re putting aside their goals towards fully autonomous vehicles for now and focusing on introducing that tech in Super Cruise instead.

With GM now focusing on Super Cruise, they’ll put aside autonomy and instead focus solely on ADAS features to relieve driver stress and improve safety. While those are positive goals that will benefit all road users, full autonomy is really the key to removing the massive impact that vehicle accidents have on society today.

In addition, Super Cruise is extremely limited, cannot brake for traffic controls, and doesn’t work in adverse conditions - even rain. It can only function when lane markings are clear, there are no construction zones, and there is a functional web connection. 

The final key to the picture is that the vehicle has to be on an HD-mapped and compatible highway - essentially locking Super Cruise to wherever GM has time to spend mapping, rather than being functional anywhere in a general sense, like FSD or Autopilot.

Others Impressed - Licensing FSD

Interestingly, some other manufacturers have also weighed into the demise of Cruise. BMW, in a now-deleted post, said that a demo of Tesla’s FSD is “very impressive.” There’s a distinct chance that BMW and other manufacturers are looking to see what Tesla does next. 

BMW chimes in on a now-deleted post. The Internet is forever, BMW!
BMW chimes in on a now-deleted post. The Internet is forever, BMW!
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It seems that FSD has caught their eyes after We, Robot - and that the demonstrations of FSD V13.2 online seem to be the pivot point. At the 2024 Shareholder Meeting earlier in the year, Elon shared the fact that several manufacturers had reached out, looking to understand what was required to license FSD from Tesla.

There is a good chance 2025 will be the year we’ll see announcements of the adoption of FSD by legacy manufacturers - similar to how we saw the surprise announcements of the adoption of the NACS charging standard.

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