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Lithium produced for Tesla’s batteries is less polluting than 31 cups of coffee: researcher

(Credit: Tesla)

Published

7 years ago

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There are many criticisms of electric vehicles like Teslas, and one of them involves the notion that EVs require massive amounts of water to produce the lithium in their batteries. This idea, according to Dr. Maximilian Fichtner, who serves as the Director at the Helmholtz Institute for Electrochemical Energy Storage in Germany, is not accurate at all. 

In a recent conversation with Tagesspiegel Background, the battery researcher stated that the production of electric car batteries is not as extreme as what EV critics would suggest. To produce the lithium needed for a 64 kWh battery pack, for example, Fichtner stated that about 3840 liters of water are evaporated according to usual calculation methods. This is roughly comparable to the production of 250 grams of beef, 30 cups of coffee, or half a pair of jeans, according to the researcher. 

Explaining further, Fichtner stated that even before electric cars like Teslas became popular, lithium was already being used in large quantities in many industrial and chemical processes. Lithium-ion batteries are also widely used in mobile devices, which are universally accepted today. “I’m always surprised that the public never talks about lithium in laptops or mobile phones – but suddenly it’s a problem with the e-car,” the battery researcher said. 

But the water consumption involved in the production of lithium for electric car batteries is just the tip of the iceberg. Fichtner estimates that a 64 kWh pack is likely in the middle of various variants of the Tesla Model 3 sedan, whose long-range versions can easily go beyond 450 km (280 miles) of range per charge. If one were to infer that an electric car battery pack can remain optimal with 2,000 full charging cycles, this could equate to a total distance of about 900,000 km. And that’s with estimates on existing battery technology. 

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With this in mind, it appears that Tesla’s lithium-ion batteries are actually less polluting than otherwise everyday items such as steak or the aforementioned 30 cups of coffee, since they have the potential to remain in service for a very long time. About 2,000 charging cycles, after all, would likely equate to years of average EV use.

Companies like Tesla are hard at work in improving their battery cells. This much is hinted at by Tesla executives such as CEO Elon Musk and President of Automotive Jerome Guillen, both of whom have noted that Tesla’s batteries are always evolving. Fichtner expects electric car batteries to have an average lifespan of 3,000 cycles by 2025, which would make EV batteries even more environmentally-friendly. 

In his recent conversation with the publication, the researcher discussed one of the most sensitive topics surrounding battery production: cobalt. Cobalt has developed a very negative reputation due to the abhorrent conditions in cobalt mines in areas such as Congo. Fortunately, many automakers have since pledged to source the cobalt used in their EVs from areas that meet stringent standards. Tesla does this and more, with the electric car maker attempting to develop cobalt-free batteries in the near future. 

For now, electric car makers are in a game of cobalt reduction, and in this sense, Tesla has a notable lead. The batteries used in Volkswagen’s well-received ID.3 hatchback, for example, contain about 12-14% cobalt. The Tesla Model 3, on the other hand, only contains about 2.9% cobalt as of 2018. Fichtner predicts that if things go well, cobalt-free batteries could enter the market as early as 2025. 

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Maximilian Fichtner received his Ph.D. in Chemistry/Surface Science with distinction and the Hermann Billing Award for his thesis in 1992. He currently serves as the professor for Solid State Chemistry at the Ulm University and Executive Director of the Helmholtz Institute Ulm for Electrochemical Energy Storage (HIU). He has also worked in collaboration with the German ministries of Economy and Research and Education, and has served as the Chair of the 1st International Symposium on Magnesium Batteries in 2016.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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2 hours ago

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June 4, 2026

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

Published

14 hours ago

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June 3, 2026

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

Published

15 hours ago

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June 3, 2026

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

 

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