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Tesla (Enhanced) Autopilot vs. Full Self-Driving: What’s the difference now?
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.
If you bought enhanced autopilot, FSD upgrade costs $2k instead of $5k
— Elon Musk (@elonmusk) March 2, 2019
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.
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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.
- 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
AutoparkSummonNavigate 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.
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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.
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.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
