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Tesla in talks with new LFP cell supplier for low-cost battery deal: report

Credit: Tesla/YouTube

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Tesla is reportedly in talks with Chinese battery maker EVE Energy Co for a potential supply deal for low-cost batteries. EVE’s batteries will reportedly be used to boost Gigafactory Shanghai’s supply chain, as per information related to Reuters by individuals familiar with the matter. 

EVE is noted for producing lithium iron phosphate (LFP) cells, which are affordable to produce but generally have lower density than NCA (nickel cobalt aluminum) batteries, which Tesla also uses. Tesla is already using LFP batteries for its vehicles such as the Made-in-China Model 3 Standard Range Plus currently produced in Gigafactory Shanghai. Tesla’s LFP batteries have so far been supplied by Contemporary Amperex Technology Co (CATL). 

EVE Energy could then become Tesla’s second supplier for LFP batteries. Reuters‘ sources, who have opted to remain anonymous, also noted that the talks between the EV maker and the battery supplier are already advanced, with Tesla looking to finalize the partnership in the third quarter. 

One of the news outlet’s sources also noted that EVE Energy is now running some final-stage tests for the LFP batteries that Tesla would potentially use. So far, however, neither EVE nor Tesla has issued a comment about the potential battery supply deal. 

Tesla CEO Elon Musk has been pretty open about the company’s need to secure more battery supply. This is despite the fact that Tesla itself is making its own batteries in the form of its custom 4680 cells, which are expected to be used in vehicles like the Made-in-Germany Model Y, the Cybertruck, the Semi, and possibly the Model S Plaid+. 

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This was highlighted in the fourth quarter and full-year 2020 earnings call. “I want to be really clear, Tesla wants to increase purchases from cell suppliers. And we’ve been very clear with our cell suppliers, whether it be CATL or Panasonic or LG, that we will take as many batteries as they can produce. So — and we urge them to increase their production, and we will buy as much as they can send to us,” Elon Musk said

A greater supply for low-cost batteries in China would likely play a role in improving Tesla’s capability to produce more of its base vehicles in Gigafactory Shanghai. CATL’s LFP cells are already being used in the Model 3 Standard Range Plus. EVE’s cells may then be used in more affordable variants of the Made-in-China Model Y, or perhaps even the $25,000 car that’s expected to be unveiled soon. 

With EVE Energy as a supplier, Tesla could take a step towards its goal of producing 20 million vehicles across the globe per year before 2030. 

Don’t hesitate to contact us for news tips. Just send a message to tips@teslarati.com to give us a heads up.

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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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Tesla CEO Elon Musk responds to Waymo’s 2,500-fleet milestone

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service.

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Credit: Tesla

Elon Musk reacted sharply to Waymo’s latest milestone after the autonomous driving company revealed its fleet had grown to 2,500 robotaxis across five major U.S. regions. 

As per Musk, the milestone is notable, but the numbers could still be improved.

“Rookie numbers”

Waymo disclosed that its current robotaxi fleet includes 1,000 vehicles in the San Francisco Bay Area, 700 in Los Angeles, 500 in Phoenix, 200 in Austin, and 100 in Atlanta, bringing the total to 2,500 units. 

When industry watcher Sawyer Merritt shared the numbers on X, Musk replied with a two-word jab: “Rookie numbers,” he wrote in a post on X, highlighting Tesla’s intention to challenge and overtake Waymo’s scale with its own Robotaxi fleet.

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service. During the third quarter earnings call, he confirmed that the company expects to remove safety drivers from large parts of Austin by year-end, marking the biggest operational step forward for Tesla’s autonomous program to date.

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Tesla targets major Robotaxi expansions

Tesla’s Robotaxi pilot remains in its early phases, but Musk recently revealed that major deployments are coming soon. During his appearance on the All-In podcast, Musk said Tesla is pushing to scale its autonomous fleet to 1,000 cars in the Bay Area and 500 cars in Austin by the end of the year.

“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousand cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said.

With just two months left in Q4 2025, Tesla’s autonomous driving teams will face a compressed timeline to hit those targets. Musk, however, has maintained that Robotaxi growth is central to Tesla’s valuation and long-term competitiveness.

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Tesla Full Self-Driving (Supervised) v14.1.7 real-world drive and review

On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users.

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tesla interior operating on full self driving
Credit: TESLARATI

Tesla started rolling out its Full Self-Driving (Supervised) v14.1.7 suite last night to owners, and there are several improvements to note within the new update that are at least the start of fixes to highly-mentioned issues.

On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users. However, there are a handful of shortcomings that are still present within the suite, which are not something that will be fixed within the span of a single update.

For what it is, Full Self-Driving does an excellent job of navigating — once you get it on its correct path. Our issues tend to be confined to navigation, routing, and the decision-making process that has to do with the way the car wants to get you to your destination. There were five things that happened on our first drive with v14.1.7 that are worth mentioning. The full drive will be available at the bottom of this article.

Navigation and Routing Still Seems to Be a Major Challenge

In past content, we’ve discussed the issues with routing and navigation, and how a Tesla chooses its path. Most noticeably, these issues occur in the same areas; for me, it’s my local Supercharger. My 2026 Model Y with AI4 continues to pick less-than-optimal routes out of the Supercharger, and in this instance, it actually chose to turn down a road, pull over, and give me the wheel, essentially asking, “Hey, can you get me on the right track here?”

This is still my biggest bone to pick with FSD, even more so than some of the bonehead moves it’s made in tougher scenarios (mostly parking lots with very limited visibility due to shrubs being planted in the worst possible locations). It’s rare that it happens, but this particular Supercharger has been a true thorn in the side of my Tesla.

This is not an issue that is confined to v14.1.7, or even v14 in general. Unfortunately, it is an issue that has persisted throughout my ownership experience, as well as during Demo Drives.

Stuttering and Hesitation at Intersections was Non-Existent

There was some confusion regarding my language in a recent article where I stated Tesla is confronting the issues that have been reported regarding the “stabbing” with braking.

“Tesla began the v14.1.4 launch last night, which included minor improvements and addressed brake-stabbing issues many owners have reported. In my personal experience, the stabbing has been awful on v14.1.3, and is a major concern.

However, many things have improved, and only a couple of minor issues have been recurring. Many of the issues v13 addressed are no longer an issue, so Tesla has made significant progress.”
It has undoubtedly improved, but it is not resolved.

With that being said, I did not feel a single example of hesitation, stabbing, or stuttering at a single intersection or instance when it has been present in the past. CEO Elon Musk said it would be fixed with v14.2, so it seems like Tesla is well on its way to resolving it.

Proper Handling of Crosswalks

It’s crazy how many people still do not stop for pedestrians at clearly-marked crosswalks. I had two instances of it happen during the drive, with FSD stopping for those pedestrians both times.

Human drivers did not stop either time:

Handled Merging onto a Highway with an Inconsiderate Driver Well

Routinely, drivers will get over into the left lane, if they are able, to allow merging traffic to safely enter the freeway. It does not always happen this way, and it’s not required by law.

Not exclusive to v14.1.7, as many past iterations would have done this as well, but it was nice to watch the vehicle slow down to let that traffic pass. It then entered the freeway safely, and the entire maneuver was well done.

Took an Appropriate Move with Oncoming Foot Traffic and Debris in a Tight Alleyway

This was probably the most on-edge I was during the drive because: 1) FSD chose to take an unnecessary alleyway, and 2) there was a box and oncoming pedestrians.

The car was aware of everything that was going on. In order to avoid the box, it would have had to turn toward the pedestrians, and in order to avoid the pedestrians, it would have had to turn into the box.

It chose to wait patiently, and after the pedestrians were past the car, FSD chose to proceed.

Closing Thoughts

Overall, we’re very impressed with v14.1.7, and we think this is Tesla’s best iteration of the FSD suite yet, as it should be since it’s the newest version available. Tesla’s attention to detail regarding the brake stabbing is really well done, and it seems evident that a complete fix is on its way.

Other than the navigation issue at the very beginning, which was not an intervention, at least in my opinion, this was a really successful drive.

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Elon Musk debunks report claiming xAI raised $15 billion in funding round

xAI also responded with what appeared to be an automated reply, stating, “Legacy Media Lies.”

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Credit: xAI

Elon Musk has debunked a report claiming his AI startup xAI had raised $15 billion from a funding round. Reports of the alleged funding round were initially reported by CNBC, which cited sources reportedly familiar with the matter.

CNBC’s report

The CNBC story cited unnamed sources that claimed that the new capital injection would help fund GPUs that xAI needs to train its large language model, Grok. The news outlet noted that following the funding round, xAI was valued at $200 billion. 

Artificial intelligence startups have been raising funds from investors as of late. OpenAI raised $6.6 billion in October, valuing the startup at a staggering $500 billion. Reuters also reported last month that OpenAI was preparing for an IPO with a valuation of $1 trillion. Elon Musk’s xAI is looking to catch up and disrupt OpenAI, as well as its large language model, ChatGPT, which has become ubiquitous.

Elon Musk and xAI’s responses

In his response on X, Elon Musk simply stated that the CNBC story was “false.” He did not, however, explain if the whole premise of the publication’s article was fallacious, or if only parts of it were inaccurate. 

Amusingly enough, xAI also issued a response when asked about the matter by Reuters, which also reported on the story. The artificial intelligence startup responded with what appeared to be an automated reply, which read, “Legacy Media Lies.”

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xAI, founded in July 2023 as an alternative to OpenAI and Anthropic, has aggressively built out infrastructure to support its flagship products, including Grok and its recently launched Grokipedia platform. The company is developing its Colossus supercomputer in Memphis, which is heralded as one of the world’s largest supercomputer clusters.

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