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Tesla Autopilot twists and turns through complex Sin City construction zone on its own

Credit: Twitter | Fred Hassen

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The owner of a Tesla Model S released footage of his electric sedan seamlessly navigating on Autopilot through the sharp and narrow twists and turns of a construction zone.

Model S owner Fred Hassen was traveling on South Las Vegas Boulevard in the “Sin City” while using the vehicle’s Navigate on Autopilot feature as part of the Full-Self Driving suite. The Model S  car managed to recognize the confusing lane shifts and road changes and navigate through the cones and safety barrels that were set up by local construction crews. Hassen seemed pleased by his car’s flawless navigation through the make-shift lanes, as can be heard in his video.

The appearance of traffic cones and traffic light indicators on the Model S’ instrument cluster suggests that the vehicle is equipped with Tesla’s latest Hardware 3 and capable of responding to red traffic lights and stop signs, including automatically stopping.

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Navigate on Autopilot is one of the most sophisticated driver-assistance features in the automotive industry today. The suite is capable of performing lane changes, navigating through on and off-ramps, and helping drivers make their way through confusing construction zones. The development of Tesla’s software for its self-driving features helps the company work toward a “feature complete” Full Self-Driving suite, which aims to revolutionize the act of driving for every owner in the world.

Tesla’s Artificial Intelligence and Autopilot systems were broken down by Andrej Karpathy, Director of the company’s AI team. Karpathy explained that Tesla’s use of vehicle cameras and artificial intelligence trains its neural network to help cars respond to road conditions safely and accurately. Tesla’s fleet of 1,000,000 vehicles uses “raw images to perform semantic segmentation, object detection, and monocular depth estimation,” according to its website. These images are then used as data to improve the safety of Autopilot.

The data compiled by the fleet of Tesla vehicles is critical to Tesla’s teams who determine improvements that need to be made within the company’s self-driving software. Tesla vehicles likely travel through construction zones every day, but the performance of the cars continues to improve through its continuously-learning Neural Network.

In the past, a Tesla hacker known as “green” has showed Tesla Autopilot’s thought process when navigating through construction zones.

The technology seems to recognize cones as the guidance point for the lane, forgetting about painted “on-road” lines when construction zones are concerned. The car understands that the standard path of travel is obsolete because of construction. Autopilot instead uses the cones lined up on both sides of the lane as the new guidance markers for travel. This video is from a previous version of firmware, so the program has improved since then as more data has entered the Neural Network.

Tesla initial plans were to release the “feature complete” FSD suite by the end of 2019, but the program was not ready for a full release. After the company release Stop Sign and Traffic Light recognition in mid-April, all that is left for Tesla to unveil is city driving. As the cars seem to be navigating through tricky construction zones with relative ease, city street driving could roll out soon.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Elon Musk

Elon Musk handed Grok something no other AI company can get their hands on

Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.

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Artistic concept rendering of SpaceX data being incorporated into a Grok AI model

Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.

The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.

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The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.

Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.

Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.

Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.

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Tesla expands ridesharing service in California to new hotspot

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Credit: Tesla

Tesla has extended its Bay Area ride-hailing service to include pickups and drop-offs at San Francisco International Airport (SFO). The update, shared via the company’s official channels on July 21, allows users in the region to request rides directly to and from one of California’s busiest airports.

The expansion builds on Tesla’s secured limousine permit for SFO operations. Public records show the permit became effective March 20, 2026, and remains active through January 31, 2027. Tesla vehicles operating the service now display authorized limousine permits issued by the City and County of San Francisco.

Tesla’s ride-hailing program in California relies on Model Y vehicles equipped with Full Self-Driving (Supervised) technology. Human safety drivers remain present in compliance with state regulations, distinguishing the service from fully driverless operations.

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The Bay Area geofence covers a broad area spanning north of San Francisco to south of San Jose, offering extensive connectivity across the region.

UPDATE: Elon Musk reveals why Tesla didn’t say ‘Robotaxi’ upon California launch

This SFO addition follows earlier progress at other Bay Area airports. Tesla previously expanded service to San Jose Mineta International Airport (SJC) in late 2025. The company had engaged with SFO, SJC, and Oakland International Airport officials as early as September 2025 to secure necessary approvals for passenger transport.

The service provides a new option for travelers seeking electric, app-based transportation integrated with Tesla’s ecosystem. Rides are booked through Tesla’s dedicated ride-hailing application, which handles matching, routing, and payments. Pricing follows standard ride-hailing models, with potential adjustments based on distance, time, and demand.

Tesla’s California ride-hailing program launched in July 2025 with an initial invite-only rollout in the Bay Area. It started alongside operations in Austin, Texas, marking the company’s second major U.S. market.

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The Bay Area remains a primary focus in California, with service centered on high-demand corridors connecting residential, commercial, and now major transportation hubs. This latest airport integration represents a practical step in Tesla’s broader mobility ambitions within the state.

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Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

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Credit: Tesla

Tesla has officially revealed its 2026 Summer Update, which comes with a variety of crazy new features, including Navigation fixes that owners have been wanting for months.

Tesla routinely releases a larger update with the Spring, Summer, Fall, and Winter updates, where it ships a variety of new features, bug fixes, and other additions to customer cars.

The 2026 Spring Update featured things like “Hey Grok” voice assistance, a redesigned self-driving app, Unreal Engine visual upgrades, and more.

Tesla’s Summer Release has about ten new features; we’ll show you each and detail them below:

New Grok Voice Commands

“Grok can now make phone calls, search and play music, adjust climate, open the glovebox, and answer questions about your Tesla.”

Self-Driving Stats in Mobile App

“View and share self-driving stats from the mobile app.”

Caraoke With Scoring

“Caraoke now scores your singing while in Park. High scores are saved to your Tesla profile.”

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Automatic Navigation

“Automatic Navigation now adapts to your routine.

In addition to Home, Work, and upcoming calendar events, your vehicle can now suggest and route to places you visit regularly – like a school drop-off on the way to work, or the gym on the way home.”

Preferred Routes

“For a more personalized experience, navigation now prioritizes routes that you’ve taken before”

Set Arrival Energy from Mobile App

“Set your desired Arrival Energy from your phone.”

Send Custom Wraps from Mobile App

“Skip the USB drive and upload a custom wrap of your car from the mobile app. Instructions for creating a custom wrap here: https://github.com/teslamotors/custom-wraps.”

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Rear Display Lock

“Kids can watch content on the rear screen, but only the front row can control it through the rear screen app.”

Other Improvements

  • Find Superchargers by name when searching for a destination
  • Add Apple Music songs to queue from search and artist page
  • Set your preferred zoom level for the Self-Driving visualization
  • Intro animations for new Model 3 and Y
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