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Musk and Straubel talk about the Model 3 ramp and solar power
At the press conference held in the lobby of the Gigafactory on Wednesday evening, Elon Musk and JB Straubel told the press a great deal about the upcoming Model 3 and the company’s new focus on solar power.
On The Model 3
Musk: “I believe we are on track to meet the half million by 2018. The hardest thing to predict is really the ramp. The ramp looks like an S curve and grows exponentially. Initially the ramp looks really tiny and as you eliminate bottle necks you climb the ramp and you level off. Its always difficult for us to forecast the exact shape of the S curve for the production ramp.
“It’s much easier for us to forecast when things are going to be steady state. So we’ve been pretty good about forecasting 2018, whereas 2017 is much more in the air because we’ll be working through a complex production ramp.”
Straubel: “One of the points is the schedule and ramp up plan for the Gigafactory. With the pull up of the Model 3, and the volume goal to meet a half million cars by 2018, we also have had to pull up the Gigafactory schedule to supply the cells and battery packs for the Model 3.
“What that means is for the earlier schedule for the Gigafactory, we’ve had to pull that ahead by two years. By 2018 we have to be at 35 gigawatt hours of production to support those Model 3s. You can see the evidence of that around the factory. And Panasonic has done their part to absolutely stay in sync with that as we’ve accelerated the schedule for Model 3.”
On The Size Of The Gigafactory
Musk: “What you’re seeing is only 14% of the size of the factory overall. It’s quite huge. One of the things we discovered as we got more into the Gigafactory design and optimizing what it could do, we thought we could probably achieve about three times the output that was originally planned.
“So we originally expected to make about 35 gigawatt hours at the cell level and about 50 gigawatt hours at the module or pack level. Now we are expecting to do about 150 gigawatt hours in the same volumetric space as the original design. We can expect to see 10,000 [workers], compared to the 5,000 or 6,000 previous estimate. Maybe in three to four years.
“Things are on track to be able to meet the Model 3 plan next year. We’re really excited about what’s happening here.”
Powerwall and Powerpack business
Musk: “Stationary storage will be as big as the car business long term. The growth rate will probably be several times what it is for the car business. We roughly assume that it’ll be probably a third of our output. But the growth rate is faster, so then grow to probably match what it is for cars.
Solar Power And The Utility Grids
A battle is being waged between alternative power solutions and traditional utility companies. SolarCity has recently shut down operations in Nevada, putting 500 people out of work because policies instituted by the Nevada PUC the company feels are unfavorable to rooftop solar. At the press conference Wednesday, Musk made several remarks about the solar power industry and traditional power generation. He was careful to acknowledge alternative energy can cause strains for traditional utilities and grid operators.
Musk: “Solar power production actually helps the grid to a certain point. Only past a certain point does it create issues with the grid. A utility can handle up to 20% of production from solar and that helps the grid because it produces electricity when needed. Solar power peaks in the middle of the day and that’s also when air conditioning is running and businesses are operating, so power production matches usage.
“But once you exceed the 20% level, then it does become more difficult for utilities to power balance the grid. So I think it makes sense for net metering to be there up through the point where it helps the cost structure of the grid. That’s the logical thing. The utilities in some cases have tried to obfuscate that its actually helpful, and have tried to lower that number of 20% to like 3%.
Tesla And Grid Services
Musk: “I think we’ll get into grid services eventually. The goal of Tesla is to accelerate sustainable energy, so we’re going to take a step back and think about what’s most likely to achieve that goal.
Autopilot
Sandwiched into the discussion was a question about whether Musk has any regrets about how Tesla introduced its Autopilot system, especially after Consumer Reports issued a call for the company to disable the Autosteer function recently.
Musk: “No, I think we did the right thing. I think we improved people’s safety, not just in fatalities but also injuries. We can see how it actually reduces impact velocity. It can reduce impact from 76 miles per hour to 46 miles an hour. That’s massive.
“We polled Tesla owners, do you want autopilot disabled or not. Not one person wanted it disabled. That’s pretty telling.”
Source and photo credit: Fortune
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
