Former Tesla FSD Leader, Karpathy, Offers Glimpse into the Future of Artificial General Intelligence

Karpathy on AGI

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Andrej Karpathy, former Tesla Autopilot Director, offers a fascinating perspective on Artificial General Intelligence (AGI) by drawing parallels with the evolution of self-driving technology. As the world grapples with the implications of AGI, Karpathy suggests that the trajectory of autonomous vehicles provides valuable insights into what AGI might entail and its impact on society.

The blog post has since been deleted, but you can still check it out here; Karpathy defines AGI as an autonomous system exceeding human capabilities in most economically valuable tasks. This definition hinges on two criteria: complete autonomy and broad economic applicability. According to Karpathy, the journey of self-driving technology exemplifies the societal dynamics of increasing automation and, by extension, AGI's potential evolution.

The Gradual Rise of Automation

Self-driving technology stands out due to its high visibility, significant economic footprint, large human workforce, and the complex challenge of automating driving. Unlike other sectors that have seen automation, the path to self-driving is a prime example of AGI's characteristics: accessibility, economic importance, workforce impact, and technical challenge.

Karpathy outlines the gradual development of driving automation. Initially, vehicles featured Level 2 driver assistance, where AI collaborates with humans in navigation, handling many low-level driving aspects while allowing human intervention. This partial automation is analogous to AI tools in various industries, like GitHub Copilot in programming, highlighting the incremental nature of AI advancement.

The leap to full automation, as seen in Waymo's driverless cars, marks a significant milestone. In cities like San Francisco, Waymo offers autonomous rides in a small, geo-fenced area, however, it helps showcase a future where AI will surpass human driving abilities. The transition to full autonomy will depend on public awareness, trust, preferences, and supply constraints in creating a large automated fleet.

Global Expansion: Challenges and Opportunities

The globalization of full automation, Karpathy notes, is a gradual, resource-intensive process. Waymo's current limitations to specific cities illustrate the challenges of expanding automated services, including adapting to local conditions and regulations. This expansion mirrors the broader trajectory of AGI deployment across various sectors, where scalability is both achievable and gradual.

Society's reaction to self-driving technology parallels AGI's potential impact. Despite significant advancements, public awareness and acceptance vary. Some view autonomous vehicles with curiosity and skepticism, while others adapt quickly. This range of responses suggests how society might adapt to AGI in various industries.

Economically, self-driving technology has both eliminated and created jobs. While driver roles are phased out, new positions in data labeling, remote support, fleet maintenance, and sensor technology emerge. This transformation reflects the broader economic implications of AGI, where work is not merely eliminated but refactored and reshaped.

The competitive landscape in self-driving technology, with companies like Waymo, Tesla, and others, mirrors the expected consolidation in AGI-related industries. As with self-driving, only a few companies may dominate the AGI space after an initial burst of growth and competition.

Karpathy envisions AGI as a gradual, society-involved evolution rather than a sudden, uncontrollable leap. Just as self-driving technology is transforming transportation, making it safer and more efficient, AGI promises to reshape various sectors.

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You Can Now Track Tesla’s Robotaxi Deployment

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Thanks to Tesla Yoda on X, we have found out that Tesla’s Robotaxi fleet is registered on the Texas Department of Transportation’s public-facing Automated Vehicle Deployment website. This makes the fleet’s movements publicly viewable and trackable, and marks a first for Tesla.

This isn’t just any old FSD test - this is the first officially acknowledged, government-tracked, and sanctioned deployment of a Tesla Model Y operating as a ride-share vehicle. But that’s not all - Texas DOT’s tracker notes that the Tesla does not have a safety driver.

View on the Map

Visitors to the Texas DOT website can filter for “Tesla”, and see, currently, a single active vehicle operating in the Austin Metro area. According to the state’s official data, here’s what we know:

Company: Tesla

Description: Ride-share service

Status in Texas: Testing

Safety Driver: No

The final point is definitely the most significant here. While Tesla has been testing FSD with safety drivers for some time in Austin and LA for employee-only testing, this is the first time that a vehicle has been officially registered and deployed on public roads without a human behind the wheel for safety. 

The fact that there is no safety driver officially shifts the liability from the occupant of the driver’s seat to Tesla, for the first time in a public setting. That’s already pretty significant - we previously dove into how Tesla plans to insure its own vehicles, and potentially owner vehicles in the Robotaxi fleets. 

The status currently lists Tesla as “Testing,” confirming that the service isn’t available to the public, but this is expected to change in the coming weeks.

This testing phase is likely part of a short but crucial period that lets Tesla capture data on the safety levels of its current iteration of Unsupervised FSD without a driver supervising. Tesla already stated that they’d be avoiding difficult areas, so this testing can also expose additional areas Tesla may want to avoid, such as school zones or blind driveways.

Tesla will need to prove, both internally and externally, that FSD Unsupervised has the necessary performance to safely navigate the streets without any incidents.

Regulatory Milestone

For years, the concept of a Tesla Robotaxi has been a future promise. Now, it's a present-day reality, albeit in a testing capacity.

Having an official government body list a Tesla as an active, driverless vehicle shows that they’ve been able to clear regulatory hurdles, which Tesla has often pointed to as the issue. It demonstrates a level of confidence from both Tesla and Texas regulators in the system's capabilities.

While it's just a single vehicle for today, we’ll likely see this list slowly expand over time. Alongside being able to track Robotaxi incidents at the City of Austin’s website, we’ll be able to closely watch Tesla’s progress with its first Robotaxi deployments.

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Tesla FSD in Europe: June Update

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The road to bringing FSD to Europe has been a long and complex one and filled with regulatory and bureaucratic hurdles. Elon Musk, as well as other members of Tesla’s AI team, have previously voiced their grievances with the regulatory approval process on X.

However, it appears that there is finally some progress in getting things moving with recent changes to upcoming autonomy regulations, but the process still seems slow.

Waiting on the Dutch

Elon commented on X recently, stating that Tesla is waiting for approval from Dutch authorities and then the EU to start rolling out FSD in Europe. Tesla is focusing on acquiring approvals from the Dutch transportation authority, which will provide them with the platform they need to gain broader acceptance in Europe. Outside of the Netherlands, Tesla is also conducting testing in Norway, which provides a couple of avenues for them to obtain national-level approval.

The frustration has been ongoing, with multiple committee meetings bringing up autonomy regulation but always pulling back at the last second before approving anything. The last meeting on Regulation 157, which governs Automated Lane Keeping Systems, concluded with authorities from the UK and Spain requesting additional time to analyze the data before reaching a conclusion.

Tesla, as well as Elon, have motioned several times for owners to reach out to their elected representatives to move the process forward, as it seems that Tesla’s own efforts are being stymied. 

This can seem odd, especially since Tesla has previously demoed FSD working exceptionally smoothly on European roads - and just did it again in Rome when they shared the video below on X.

FSD Supervised testing in Rome, Italy

Pending regulatory approval pic.twitter.com/TXh3uQIfrx

— Tesla Europe & Middle East (@teslaeurope) June 12, 2025

DCAS Phase 3

While the approval process has been slow, Kees Roelandschap pointed out that there may be a different regulatory step that could allow FSD to gain a foothold in Europe.

According to Kees, the European Commission is now taking a new approach to approving ADAS systems under the new DCAS Phase 3 regulations. The Commission is now seeking data from systems currently operational in the United States that can perform System-Initiated Maneuvers and don’t require hands-on intervention for every request.

This is key because those are two of the core functionalities that make FSD so usable, and it also means that there may not be a need to wait years for proper regulations to be written from scratch. Now, the Commission will be looking at real-world data based on existing, deployed technology, which could speed up the process immensely.

What This Means

This new, data-driven regulatory approach could be the path for Tesla to reach its previous target of September for European FSD. While the cogs of bureaucracy are ever slow, sometimes all it takes is a little data to have them turn a bit faster in this case.

Alongside specific countries granting approval for limited field testing with employees, there is some light at the end of the tunnel for FSD in Europe, and hopes are that a release will occur by the end of 2025. With Europe now looking to North America for how FSD is performing, Tesla’s Robotaxi results could also play a role.

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