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Tesla (Enhanced) Autopilot vs. Full Self-Driving: What’s the difference now?

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Tesla has announced a 50% price reduction on Autopilot and Full Self-Driving Capability for existing Model S, Model X and Model 3 vehicles.

Interested buyers of Tesla’s semi-autonomous feature package can use a new one-click payment process to add Autopilot to an existing vehicle for $2,000 (originally $4,000 when purchased after vehicle delivery) and Full Self-Driving for $2,000, reduced from the original price of $5,000 when added after delivery. The announcement comes a day after Tesla launched its $35,000 Model 3, and drastically reduced the price of its flagship Model S and Model X vehicles.

Tesla explains in a new blog post, “All customers who bought a Tesla before yesterday’s price decrease will be able to buy the Autopilot or Full Self-Driving capability for half of what those features would normally cost after initial purchase.”

Though the announcement is a seemingly welcomed change, the Autopilot update has created some confusion among Tesla owners, prompting CEO Elon Musk to clarify over Twitter.

Tesla Autopilot

On February 28, 2019, Tesla updated the details for its Autopilot suite that includes the replacement of “Enhanced Autopilot” with “Autopilot”, along with adjustments to pricing and features.

Taking a closer look at the details between Tesla’s original Enhanced Autopilot and what’s now being called Autopilot, and it’s evident that Tesla shifted some of the original features of Enhanced Autopilot to Full Self-Driving. However, Tesla also added two additional features to the Full Self-Driving Capability that will enable the vehicle to recognize and respond to traffic lights and stop signs, and perform automatic driving on city streets.

Autopilot Cost

The cost of Autopilot depends on several factors depending on the date a Model S, Model X or Model 3 was purchased and also if Autopilot was added at the time of vehicle purchase.

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  • Autopilot – $2,000 (this is the newly introduced 50% discount) when added to a vehicle that was purchased without Enhanced Autopilot. Vehicle must be purchased before February 28, 2019.
  • Autopilot – $3,000 when added at the time of vehicle purchase. Vehicle must be purchased on February 28, 2019, or anytime thereafter.
  • Autopilot – $4,000 when added to a vehicle after delivery. Vehicle must be purchased on February 28, 2019, or anytime thereafter.

Autopilot Features*

  • Auto Lane Change
  • Autosteer
  • Traffic-Aware Cruise Control
  • Autopark
  • Summon
  • Navigate on Autopilot

* The strikethroughs represents features that were originally part of Enhanced Autopilot but now moved to Full Self-Driving Capability.

Tesla Full Self-Driving (FSD) Capability, updated February 28, 2019

Autopilot Full Self-Driving Cost

The cost for Tesla’s Full Self-Driving feature also varies depending on the date of vehicle purchase. FSD requires Autopilot.

  • FSD – $2,000 (this is the newly introduced 50% discount) when added to any Model S, Model X, or Model 3 that was purchased with Enhanced Autopilot before February 28, 2019. Total cost of EAP ($5,000) + FSD ($2,000) = $7,000.
  • FSD – $3,000 when added to any Model S, Model X, or Model 3 that was purchased without Enhanced Autopilot before February 28, 2019. Total cost of AP ($2,000) + FSD ($3,000) = $5,000.
  • FSD – $5,000 when added at the time of vehicle purchase on February 28, 2019, or anytime thereafter. Total cost of AP ($3,000) + FSD ($5,000) = $8,000.
  • FSD – $7,000 when added to a vehicle that was purchased on February 28, 2019, or anytime thereafter, and already delivered. Total cost of AP ($4,000) + FSD ($7,000) = $11,000.

FSD Features*

  • Autopark: both parallel and perpendicular spaces.
  • Navigate on Autopilot: automatic driving from highway on-ramp to off-ramp including interchanges and overtaking slower cars.
  • (Advanced) Summon: “Your parked car will come find you anywhere in a parking lot. Really.”
  • Coming later in 2019: Recognize and respond to traffic lights and stop signs.
  • Coming later in 2019: Automatic driving on city streets.

 

Tesla’s online configurator, March 2019

Tesla explains the recent Autopilot update in its blog post, which we’ve provided below.

Upgrading to Autopilot and Full Self-Driving Capability

All customers who bought a Tesla before yesterday’s price decrease will be able to buy the Autopilot or Full Self-Driving capability for half of what those features would normally cost after initial purchase.

Autopilot, which enables automatic steering, accelerating and braking, normally costs $4,000 after delivery and Full Self-Driving normally costs $7,000 after delivery. Full Self-Driving capability includes Navigate on Autopilot, Advanced Summon, Auto Lane Change, Autopark and, later this year, will recognize and respond to traffic lights.

Any customer who bought a Tesla prior to this week’s price adjustment will be able to upgrade to Autopilot for $2,000 or Full Self-Driving capability for an additional $3,000. In other words, for a customer who previously hadn’t purchased Autopilot plus Full Self-Driving, they will soon be able to do so for $6,000 less than before. Customers who previously purchased Full Self-Driving will receive an invitation to Tesla’s Early Access Program (EAP). EAP members are invited to experience and provide feedback on new features and functionality before they are rolled out to other customers.

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Beginning next month, any existing customer who wants to upgrade to Autopilot or Full Self-Driving capability will be able to do so with a one-click payment. There will be no need to call anyone, and it will be as easy as it was to order your car in the first place.

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Elon Musk proposes Grok 5 vs world’s best League of Legends team match

Musk’s proposal has received positive reception from professional players and Riot Games alike.

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UK Government, CC BY 2.0 , via Wikimedia Commons

Elon Musk has proposed a high-profile gaming challenge for xAI’s upcoming Grok 5. As per Musk, it would be interesting to see if the large language model could beat the world’ best human League of Legends team with specific constraints.

Musk’s proposal has received positive reception from professional players and Riot Games alike, suggesting that the exciting exhibition match might indeed happen. 

Musk outlines restrictions for Grok

In his post on X, Musk detailed constraints to keep the match competitive, including limiting Grok to human-level reaction times, human-speed clicking, and viewing the game only through a camera feed with standard 20/20 vision. The idea quickly circulated across the esports community, drawing commentary from former pros and AI researchers, as noted in a Dexerto report.

Former League pro Eugene “Pobelter” Park expressed enthusiasm, offering to help Musk’s team and noting the unique comparison to past AI-versus-human breakthroughs, such as OpenAI’s Dota 2 bots. AI researcher Oriol Vinyals, who previously reached Grandmaster rank in StarCraft, suggested testing Grok in RTS gameplay as well. 

Musk welcomed the idea, even responding positively to Vinyals’ comment that it would be nice to see Optimus operate the mouse and keyboard.

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Pros debate Grok’s chances, T1 and Riot show interest

Reactions weren’t universally optimistic. Former professional mid-laner Joedat “Voyboy” Esfahani argued that even with Grok’s rapid learning capabilities, League of Legends requires deep synergy, game-state interpretation, and team coordination that may be difficult for AI to master at top competitive levels. Yiliang “Doublelift” Peng was similarly skeptical, publicly stating he doubted Grok could beat T1, or even himself, and jokingly promised to shave his head if Grok managed to win.

T1, however, embraced the proposal, responding with a GIF of Faker and the message “We are ready,” signaling their willingness to participate. Riot Games itself also reacted, with co-founder Marc Merrill replying to Musk with “let’s discuss.” Needless to say, it appears that Riot Games in onboard with the idea.

Though no match has been confirmed, interest from players, teams, and Riot suggests the concept could materialize into a landmark AI-versus-human matchup, potentially becoming one of the most viewed League of Legends events in history. The fact that Grok 5 will be constrained to human limits would definitely add an interesting dimension to the matchup, as it could truly demonstrate how human-like the large language model could be like in real-time scenarios.

Tesla has passed a key milestone, and it was one that CEO Elon Musk initially mentioned more than nine years ago when he published Master Plan, Part Deux. 

As per Tesla China in a post on its official Weibo account, the company’s Autopilot system has accumulated over 10 billion kilometers of real-world driving experience.

Tesla China’s subtle, but huge announcement

In its Weibo post, Tesla China announced that the company’s Autopilot system has accumulated 10 billion kilometers of driving experience. “In this respect, Tesla vehicles equipped with Autopilot technology can be considered to have the world’s most experienced and seasoned driver.” 

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Tesla AI’s handle on Weibo also highlighted a key advantage of the company’s self-driving system. “It will never drive under the influence of alcohol, be distracted, or be fatigued,” the team wrote. “We believe that advancements in Autopilot technology will save more lives.”

Tesla China did not clarify exactly what it meant by “Autopilot” in its Weibo post, though the company’s intense focus on FSD over the past years suggests that the term includes miles that were driven by FSD (Beta) and Full Self-Driving (Supervised). Either way, 10 billion cumulative miles of real-world data is something that few, if any, competitors could compete with.

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Credit: Tesla China/Weibo

Elon Musk’s 10-billion-km estimate, way back in 2016

When Elon Musk published Master Plan Part Deux, he outlined his vision for the company’s autonomous driving system. At the time, Autopilot was still very new, though Musk was already envisioning how the system could get regulatory approval worldwide. He estimated that worldwide regulatory approval will probably require around 10 billion miles of real-world driving data, which was an impossible-sounding amount at the time. 

“Even once the software is highly refined and far better than the average human driver, there will still be a significant time gap, varying widely by jurisdiction, before true self-driving is approved by regulators. We expect that worldwide regulatory approval will require something on the order of 6 billion miles (10 billion km). Current fleet learning is happening at just over 3 million miles (5 million km) per day,” Musk wrote. 

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It’s quite interesting but Tesla is indeed getting regulatory approval for FSD (Supervised) at a steady pace today, at a time when 10 billion miles of data has been achieved. The system has been active in the United States and has since been rolled out to other countries such as Australia, New Zealand, China, and, more recently, South Korea. Expectations are high that Tesla could secure FSD approval in Europe sometime next year as well. 

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Elon Musk’s Boring Company reveals Prufrock TBM’s most disruptive feature

As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.

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The Boring Company has quietly revealed one of its tunnel boring machines’ (TBMs) most underrated feature. As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.

Prufrock 5 leaves the factory

The Boring Company is arguably the quietest venture currently backed by Elon Musk, inspiring far fewer headlines than his other, more high-profile companies such as Tesla, SpaceX, and xAI. Still, the Boring Company’s mission is ambitious, as it is a company designed to solve the problem of congestion in cities.

To accomplish this, the Boring Company would need to develop tunnel boring machines that could dig incredibly quickly. To this end, the startup has designed Prufrock, an all-electric TBM that’s designed to eventually be fast enough as an everyday garden snail. Among TBMs, such a speed would be revolutionary. 

The startup has taken a step towards this recently, when The Boring Company posted a photo of Prufrock-5 coming out of its Bastrop, Texas facility. “On a rainy day in Bastrop, Prufrock-5 has left the factory. Will begin tunneling by December 1.  Hoping for a step function increase in speed,” the Boring Company wrote.

Prufrock’s quiet disruption

Interestingly enough, the Boring Company also mentioned a key feature of its Prufrock machines that makes them significantly more sustainable and reusable than conventional TBMs. As per a user on X, standard tunnel boring machines are often left underground at the conclusion of a project because retrieving them is usually more expensive and impractical than abandoning them in the location. 

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As per the Boring Company, however, this is not the case for its Prufrock machines, as they are retrieved, upgraded, and deployed again with improvements. “All Prufrocks are reused, usually with upgrades between launches. Prufrock-1 has now dug six tunnels,” the Boring Company wrote in its reply on X.

The Boring Company’s reply is quite exciting as it suggests that the TBMs from the tunneling startup could eventually be as reusable as SpaceX’s boosters. This is on brand for an Elon Musk-backed venture, of course, though the Boring Company’s disruption is a bit more underground. 

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Tesla accused of infringing robotics patents in new lawsuit

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tesla store in New York City
Credit: Tesla

Tesla is being accused of infringing robotics patents by a company called Perrone Robotics, which is based out of Charlottesville, Virginia.

The suit was filed in Alexandria, Virginia, and accuses Tesla of knowingly infringing upon five patents related to robotics systems for self-driving vehicles.

The company said its founder, Paul Perrone, developed general-purpose robotics operating systems for individual robots and automated devices.

Perrone Robotics claims that all Tesla vehicles utilizing the company’s Autopilot suite within the last six years infringe the five patents, according to a report from Reuters.

Tesla’s new Safety Report shows Autopilot is nine times safer than humans

One patent was something the company attempted to sell to Tesla back in 2017. The five patents cover a “General Purpose Operating System for Robotics,” otherwise known as GPROS.

The GPROS suite includes extensions for autonomous vehicle controls, path planning, and sensor fusion. One key patent, U.S. 10,331,136, was explicitly offered to Tesla by Perrone back in 2017, but the company rejected it.

The suit aims to halt any further infringements and seeks unspecified damages.

This is far from the first suit Tesla has been involved in, including one from his year with Perceptive Automata LLC, which accused Tesla of infringing on AI models to interpret pedestrian/cyclist intent via cameras without licensing. Tesla appeared in court in August, but its motion to dismiss was partially denied earlier this month.

Tesla also settled a suit with Arsus LLC, which accused Autopilot’s electronic stability features of infringing on rollover prevention tech. Tesla won via an inter partes review in September.

Most of these cases involve non-practicing entities or startups asserting broad autonomous vehicle patents against Tesla’s rapid iteration.

Tesla typically counters with those inter partes reviews, claiming invalidity. Tesla has successfully defended about 70 percent of the autonomous vehicle lawsuits it has been involved in since 2020, but settlements are common to avoid discovery costs.

The case is Perrone Robotics Inc v Tesla Inc, U.S. District Court, Eastern District of Virginia, No. 25-02156. Tesla has not yet listed an attorney for the case, according to the report.

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