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Hyundai car factory in GA runs into a wastewater issue
Hyundai’s Metaplant in GA hit a wastewater snag, exceeding limits for zinc & copper. Savannah stopped accepting its wastewater.
Hyundai’s car factory in Georgia has run into a wastewater issue that may affect production. The Hyundai Motor Group Metaplant America (HMGMA) failed to meet wastewater permit standards and must develop a plan to address the issue.
According to the City of Savannah, in mid-September, staff at its water treatment facility observed that Hyundai’s wastewater was “affecting biological processes. The facility stopped accepting wastewater from Hyundai’s car factory in Georgia at the end of September due to Hurricane Helene and has not received wastewater water from HMGMA since.
The City of Savannah issued a permit to accept HMGMA’s industrial wastewater at its water treatment facility on August 30, 2024. The agreement between the City and Hyundai’s car factory was a temporary plan while the North Bryan County Water Reclamation Facility was under construction.
However, on October 1, the City issued a Notice of Violation to HMGMA. The City of Savannah is coordinating with the Georgia Environmental Protection Division (EPD) and Bryan County to facilitate corrective actions and address Hyundai’s wastewater issue.
Below is a HMGMA spokesperson’s statement regarding the plant’s wastewater issue, shared by WTOC.
In September 2024, HMGMA began discharging wastewater to the City of Savannah. Less than one month after discharge began, HMGMA, as required by permit, notified the City that our discharge amounts exceeded the limit for zinc, copper and total conductivity. HMGMA immediately stopped discharging and began a root cause analysis to determine the source.
In the meantime, HMGMA contracted with a specialized company to pump wastewater into tanker trucks and transport it off site to permitted facilities.
In late October 2024, one of the third party contractor/haulers transported wastewater from HMGMA to a treatment plant that did not have the required permit for industrial wastewater but was permitted to accept domestic wastewater. As soon as HMGMA was made aware of this issue, all operations with said contractor were ceased. HMGMA increased its oversight of the contract company to ensure this does not happen again. HMGMA has confirmed that all treatment facilities receiving wastewater from the site since that incident have been properly classified, permitted, and authorized to treat and dispose of industrial wastewater.
HMGMA has worked diligently with the GA-EPD on all aspects of our wastewater management issues and improvements.
HMGMA operates an industrial wastewater treatment system and has upgraded its equipment to better address the levels found. Previously, there was not a means to treat domestic wastewater. HMGMA has now procured a dissolved air flotation (DAF) system, which is being commissioned to ensure all discharges meet permit levels.
The investigation determined the pipes installed at HMGMA had elevated levels of metal that affected both domestic and industrial wastewater discharge streams. HMGMA decided the best course of action was to replace the pipes at the Metaplant. Work is expected to being soon, and we anticipate this to be completed in September.
HMGMA took this issue seriously and worked diligently to find a solution. We are committed to being good environmental stewards and to adhering to all applicable laws and regulations regarding wastewater. We live and work in the Coastal Empire and have a vested interest in keeping waterways healthy.
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.”
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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
