News
Tesla denied grant applications in Texas for Superchargers despite fractional costs
Tesla recently applied for a series of grants through a program in the State of Texas that would cover up to 70 percent of an electric vehicle charging stall installation. However, the applications from the United States’ leading electric automaker were denied, despite costs being a fraction of what competitor installations would cost. According to a report from Forbes, which examined the rejected applications and what would instead be installed, Texas is doing itself a disservice, selecting “the most expensive stations in the worst locations for their money.”
Despite a laid out sheet of ground rules, which tend to gravitate toward impartial and unbiased selections, it does not always work out that way. The $21 million in grants, which are awarded on a first-come-first-serve basis, provided enough funding for 170 chargers at 41 stations. Tesla’s applications were not selected for a single project, despite aligning with the grant’s requirements, which would have made Tesla install CHAdeMO or CCS connectors, which would open the Superchargers up to other car manufacturers.
Interestingly, the article states that around 70 percent of EVs on the road would benefit from even more Tesla Superchargers. The robust network of global charging stations for Tesla, which recently eclipsed 30,000 worldwide, provides energy for the industry’s best EVs. Sales figures for Tesla are simply incomparable to other EV companies, as it is the only company in the United States to consistently mark hundreds of thousands of deliveries per quarter, with each one being an electric powertrain.
Tesla’s Superchargers would not have only benefitted drivers of the all-electric automaker’s products. The Forbes report indicates Tesla had only applied for a “small portion” of the money to build its first four stations, which would also accept non-Tesla EVs, much like a “pilot” program the company has started to test in Europe.
Tesla’s non-Tesla Supercharger pilot program expands to France, Norway
While it has not yet happened in the United States, Tesla Superchargers could be used to provide energy to other EV manufacturer products. Tesla stands to gain in other ways, too, as the company allowing other cars to access its infrastructure would help relieve range anxiety concerns. However, its biggest advantage is having 70 percent of the station covered by grant money.
Even if Tesla planned to use the grant funds to expand its charging infrastructure, the decision not to accept their applications is questionable. The prices in unaccepted grant applications, representing up to 70 percent of the actual cost, are as follows:
- Chargepoint: $150K+ for 2-plex
- EVgo: $150K+ for pair, $126K for 4-plex
- Circle-K: $75K for 4-plex to $150K+ for 2-plex
- 7-11: $126K for 2-plex
- “Retail EV Charging North/South Texas” (Buc-ee’s) $100K/charger for 6-plex
- Various small players: $75K to $150K, averaging at least $133K/charger
- Accepted applications so far from various players average $123K+/charger
- Tesla: $29K for 17-plex, $42K for 9-plex
Opening up potential Supercharger locations to other automakers would be extremely advantageous from a cost perspective. It also would give Tesla the ability to test the waters of a potential pilot program in the United States, with plenty of restrictions that would still give Tesla owners prioritization at the stalls.
Ultimately, the EV infrastructure doesn’t seem to gain any benefits from what the Forbes article’s author, Brad Templeton, calls “misguided grants.” Instead, funding the EV infrastructure with what drivers actually need, which is more stations in advantageous areas, like shopping centers or tourist destinations, is the answer.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
