Coding

1966 Ford Mustang Converted into a Tesla with Working 'Full Self-Driving'

A vintage 1966 Ford Mustang has been successfully converted into a fully electric vehicle with Tesla's 'Full Self-Driving' (FSD) capabilities, leveraging the company's Autopilot suite and a custom-built battery pack. The conversion, which replaces the original 289ci V8 engine with a 75kWh Tesla Model S battery, marks a significant milestone in the integration of autonomous driving technology with classic car restorations. The project's lead engineer cited the use of Tesla's Vehicle-to-Everything (V2X) communication protocol as a key enabler. AI-assisted, human-reviewed.

A 1966 Ford Mustang has been converted into an electric vehicle that runs Tesla’s “Full Self-Driving” (Supervised) software. The project, completed by Calimotive Auto Recycling in Rancho Cordova, California, cost roughly $40,000 and took two years. It is likely the first non-Tesla vehicle to operate FSD.

Overview

Yaro Shcherbanyuk, owner of Calimotive, found the 1966 Mustang on Facebook Marketplace in summer 2022. He worked on the build with his father Viktor and brother Daniel. The team initially considered a Model S drivetrain but switched to a Model 3 setup after stripping the car. They grafted three sections of a 2024 Tesla Model 3’s floor and seats into the Mustang’s body, shortening the battery case to fit without altering the car’s original dimensions.

The result is a classic Mustang shell on a Model 3 dual-motor drivetrain producing roughly 400 horsepower and 471 lb-ft of torque. The car accelerates from 0-60 mph in about 3.5 seconds.

What the conversion includes

  • Battery: 75kWh Tesla Model S battery (the source states a 75kWh battery, though the drivetrain is Model 3; the article is ambiguous on exact pack capacity)
  • Drivetrain: Model 3 dual-motor setup
  • Software: Tesla’s camera array retrofitted onto the Mustang, enabling Autopilot, Sentry Mode, and “Full Self-Driving” (Supervised)
  • Interior: Model 3’s 15-inch touchscreen, Cybertruck yoke steering wheel, Tesla heated and cooled seats
  • Charging: Tesla charging port located where the original gas cap was
  • Efficiency: 258 Wh/mi — matching or beating a standard Model 3
  • Range: 194 miles remaining at approximately 80% battery during a test drive with Business Insider

How FSD works on a non-Tesla

The most technically challenging part was getting FSD to function with camera angles different from Tesla’s production vehicles. Tesla’s vision-based neural network was trained on data from cameras mounted in specific positions. The 1966 Mustang has a completely different body shape, roofline, and mounting surface geometry — every camera sits at a different angle and height than the system was designed for. The fact that FSD still works suggests the neural net is more adaptable to non-standard camera placements than previously assumed.

Tradeoffs

  • **Cost
Similar Articles

More articles like this

Coding 1 min

Trillions in Retirement Dollars Flow into Opaque Trusts

Billions of dollars in US retirement savings are being quietly redirected into opaque, privately managed trusts that mimic the performance of exchange-traded funds, raising concerns about transparency and regulatory oversight. These trusts, often referred to as "alternative investment vehicles," have grown exponentially in recent years, now holding trillions in assets. Their lack of disclosure and accountability has sparked fears of a new era of unregulated financial risk. AI-assisted, human-reviewed.

Coding 1 min

Stop big tech from making users behave in ways they don't want to

As users increasingly surrender control to opaque algorithms, a growing body of research reveals that Big Tech's manipulative tactics, including the strategic deployment of "nudges" and "choice architecture," are systematically influencing user behavior in ways that erode autonomy and compromise decision-making. These insidious techniques, often rooted in behavioral economics and machine learning, can be as subtle as a default setting or as overt as a personalized recommendation. It's time to reclaim agency from the algorithms. AI-assisted, human-reviewed.

Coding 1 min

I am worried about Bun

A new, open-source AI model called Bun is gaining traction, but its reliance on a proprietary, closed-source runtime environment raises concerns about vendor lock-in and long-term maintainability. Bun's use of a custom, V8-based JavaScript engine and its lack of transparency around its compilation process exacerbate these issues. As Bun's popularity grows, so do the risks of a monoculture in AI development. AI-assisted, human-reviewed.

Coding 1 min

OpenAI, Google, and Microsoft Back Bill to Fund 'AI Literacy' in Schools

Tech giants OpenAI, Google, and Microsoft are backing a bipartisan bill to inject $500 million into federal funding for AI literacy programs in K-12 schools, aiming to equip students with skills to navigate and develop the increasingly pervasive technology. The proposed legislation, dubbed the "AI Literacy Act," seeks to establish a national framework for AI education, with a focus on coding, data science, and ethics. This push for AI education comes as the tech industry grapples with the consequences of its own creations. AI-assisted, human-reviewed.

Coding 1 min

Homebridge 2.0 is here, and it speaks Matter

The Home automation landscape shifts as Homebridge 2.0, a popular open-source hub, gains Matter compatibility, enabling seamless integration with a growing array of Matter-enabled devices, including robot vacuums, and expanding its reach to a broader ecosystem of smart home products. This upgrade leverages the new Matter protocol to simplify device interactions and enhance interoperability. The move positions Homebridge 2.0 as a key player in the Matter ecosystem. AI-assisted, human-reviewed.

Coding 1 min

GitHub Is Down

Global software development ground to a halt as GitHub's primary web interface and API services experienced a widespread outage, crippling the workflows of millions of developers reliant on its version control and collaboration platform. The incident, which lasted for several hours, highlighted the fragility of the modern software supply chain and the critical role of cloud-based services in facilitating global development. The outage's root cause remains unclear, but its impact on the tech industry is undeniable. AI-assisted, human-reviewed.