Tesla's FSD – A Useless Technology Demo
Tesla’s “Full Self-Driving” (FSD) is portrayed as an impressive but unreliable tech demo that increases driver stress rather than reducing it, especially because humans must constantly supervise and correct unpredictable behavior. Commenters contrast Tesla’s approach with geofenced robotaxis like Waymo and regulated systems like Mercedes Drive Pilot, arguing that others are closer to practical autonomy while Tesla remains stuck at a weak Level 2 system despite years of bold promises. The thread also highlights how Elon Musk’s branding, safety statistics, regulatory scrutiny, and the ethics of large-scale on-road beta testing complicate both public trust and the business case for FSD and future robotaxis.
Perception of Tesla and Musk
- Many comments focus on brand toxicity: owners feel they must “apologize” for driving a Tesla due to Musk’s politics and public persona.
- Some see this as irrational “cult of hate” or partisan tribalism; others argue Musk chose to be the company’s political frontman, so it’s inevitable he colors product discussions.
- This context makes people question the impartiality of any FSD review, whether positive or negative.
Real‑World Experiences with FSD
- Several Tesla drivers report FSD is usable and can be a major quality‑of‑life improvement on familiar routes, highways, and in good weather.
- Others report terrifying behavior: blowing or nearly blowing red lights, abrupt disengagements on curves, wrong lane choices, oscillations, phantom braking, and lane positioning errors.
- Some say monitoring FSD is more stressful than driving because you must be hyper‑alert for unpredictable actions.
- A number of people prefer basic Autopilot or other brands’ adaptive cruise and lane-keeping to FSD.
Safety, Cognitive Load, and Utility
- Debate centers on whether FSD reduces or increases cognitive load.
- Pro‑FSD users say “two entities watching the road” and not micromanaging steering reduces fatigue.
- Critics say if you still must continuously supervise and be ready to save the car in milliseconds, risk and stress outweigh benefits.
Comparisons to Other Systems
- Waymo is repeatedly cited as actually driverless (but geofenced and sensor‑heavy); many see it as far ahead in real autonomy despite limited scope.
- Mercedes Level 3 and Ford BlueCruise are mentioned as more constrained but clearly defined and regulator‑approved.
- Some argue Tesla is technologically behind; others cite its large data and custom hardware as evidence it’s ahead.
Technical Feasibility and ML Limits
- Skeptics argue deep learning will never safely solve long‑tail driving edge cases; they point to s‑curve limits, persistent regressions, and analogies to imperfect OCR/voice recognition.
- Supporters believe continuous improvement and massive data will eventually surpass human performance, though timelines have been repeatedly missed.
Business, Regulation, and Ethics
- FSD is described by some as “vaporware used to support valuation,” by others as a real but immature product.
- There is discussion of lawsuits over FSD marketing, NHTSA investigations, and claims that Tesla safety stats are biased or misleading.
- Many doubt the near‑term robotaxi vision, especially with unclear liability, remote supervision costs, and owner willingness to share personal cars.
Broader Critique of Car‑centric Transport
- Some argue self‑driving (Tesla or otherwise) is a distraction from fixing car‑centric urban design, induced demand, and environmental impacts.
- Others suggest true autonomy may ultimately require infrastructure changes or restricted zones, not just better in‑car AI.