selfdriving.monster
Tesla is teaching the world to drive itself.We’re documenting the win.
Pro-Tesla coverage of Full Self-Driving, Cybercab, and the robotaxi era — with clear SAE levels, fleet data, and realistic timelines. Data as of September 2026.
What “Self-Driving” Actually Means
The SAE levels are the global standard. Tesla FSD for consumers is Level 2 — and improving fast. True robotaxis operate at Level 4 within expanding domains.
Level 5 does not yet exist commercially. Headlines often conflate Level 2 supervised systems with true driverless capability.
FSD & Cybercab:
The Scale Play That Wins
Tesla bet on cameras + neural nets — the same stack humans use — so every mile on the road improves the fleet. That data flywheel is the path to unsupervised autonomy at planet scale.
- 13+ billion km of FSD Supervised data — unmatched training volume.
- v14 series rolling out; HW3 getting Lite updates in 2026.
- Robotaxi live in Austin, Dallas, Houston, Miami — expanding city by city.
- Curb Weight
- 3,113 lb
- Battery
- ~48 kWh
- Powertrain
- FWD single motor, 219 hp
- Efficiency
- ~165 Wh/mi (record)
- No steering wheel or pedals
- Wireless inductive charging planned
- Self-certification for FMVSS
- Target < $30k unit cost
Premium domain · Available for acquisition
selfdriving.monster
Category keyword + brandable TLD for Tesla autonomy, robotaxi media, FSD coverage, and mobility platforms. Own the phrase people already search.
Heavy machinery & forklifts may transition first.
Autonomy is already mature in structured industrial environments where economics and safety align perfectly.
Autonomous Forklifts & AMRs: Booming
Public roads are open, adversarial, weather-variable, with fragmented rules and human cultural attachment.
When and how will we stop driving?
Gradual, uneven, and incomplete — like horses to cars. We won’t flip a switch.
Tesla FSD becomes the default supervised stack. Tesla Robotaxi expands across U.S. metros; Cybercab production ramps at Giga Texas. Waymo/Zoox remain active in mapped cities. Industrial autonomy accelerates fast.
Dense, reliable networks make ownership optional for many urban trips. Personal L3 highway systems improve. Industrial sites largely autonomous.
Shared fleets dominate routine trips. Personal driving remains for rural, enthusiasts, classics, and preference. Cities redesign for pick-up/drop-off.
Manual driving persists for fun, off-road, emergencies, sparse areas — like sailing or horseback today. “Driving” becomes optional lifestyle choice.
“Stopping driving” misframes passenger cars. The shift is fromownership + manual toon-demand mobility for most trips. Tesla’s FSD → Robotaxi → Cybercab ladder is how consumer autonomy scales beyond geofenced demos.
Straight Answers to Real Questions
Is Tesla FSD safe today?
Significantly improved with end-to-end neural nets (v12–v14). Tesla reports strong aggregate safety stats as the fleet learns from billions of real-world miles. Still Level 2 today — the driver remains responsible — and it is already one of the most capable consumer co-pilots on the road, with unsupervised robotaxi ops expanding city by city.
When will Cybercab drive unsupervised at scale?
Tesla is targeting late 2026 / 2027 with gradual city expansion. Cybercab production is already ramping at Giga Texas. Model Y robotaxi service is live in multiple U.S. metros today — the unsupervised Cybercab fleet is the volume play once safety validation clears each jurisdiction.
Will truck drivers lose their jobs?
Long-haul on predictable routes faces earlier disruption. Local delivery is harder. New roles in oversight, remote ops, AV maintenance will appear. 10–20 year transition with big regional variation.
Why is mining/warehousing further along?
Structured environments, massive immediate ROI on safety & productivity, lower regulatory hurdles (private land), repetitive tasks. Public roads are far more complex and adversarial.
Can I still own and drive my own car in 2035?
Yes — especially if you enjoy it. For many daily trips, robotaxis will be cheaper and easier. Ownership shifts from necessity to choice or hobby for many people.
Why does Tesla use cameras instead of lidar?
Vision scales. Cameras are cheap, redundant across the fleet, and match how humans drive. Lidar maps are expensive to maintain and struggle outside mapped corridors. Tesla’s bet is that a generalizing neural net trained on planetary-scale video data beats geofenced sensor stacks — and the robotaxi rollout is the proof path.
Is selfdriving.monster for sale?
Yes. The domain is available for acquisition. Contact sales@desertrich.com for serious inquiries. Ideal for Tesla autonomy media, robotaxi brands, FSD coverage, investor platforms, and category ownership in self-driving.