According to SawyerMerritt, Tesla Model Y units at Giga Berlin have self-driven 93,000 miles on FSD from line end to outbound, streamlining yard logistics.

According to SawyerMerritt, Tesla is engaging Ireland’s NSAI and Transport Department to approve FSD Supervised, opening an EU launch path.

According to SawyerMerritt, Tesla FSD V14 detects a hand signal and waits, highlighting improved pedestrian intent handling and urban safety.

According to SawyerMerritt, Tesla FSD Supervised surpassed 10B miles, accelerating model learning and safety improvements for real-world autonomy.

According to SawyerMerritt, Tesla pushed a wide FSD v14.3.2 rollout, signaling faster update cadence and broader supervised autonomy access.

According to Sawyer Merritt, Tesla FSD reached 10B miles in 5.5 years and now adds 10B every 11.5 months, accelerating model training and safety gains.

According to SawyerMerritt, Tesla FSD surpassed 10B miles, adding 28.8M miles daily—accelerating data flywheel for autonomy and AI training.

According to Sawyer Merritt, Tesla is pushing FSD v14.3.2 with AI4 hardware and a redesigned FSD popup to owners now.

According to Sawyer Merritt, some 2026 Model Y reviews skip FSD, despite wide autonomy claims; according to Tesla, drivers must supervise at all times.

According to Sawyer Merritt, Tesla pushed FSD v14.3.2 with same notes, hinting a disengagement popup UI tweak.

According to SawyerMerritt, an Italian senator urged fast-track approval of Tesla FSD Supervised, engaging RDW and Tesla ahead of an EU-level meeting.

According to Sawyer Merritt, Tesla is promoting FSD Supervised via Chase Auto Finance to push paid subscriptions among leased vehicle customers.

According to SawyerMerritt, Tesla FSD Supervised handled signals, lanes, speeds, and merges flawlessly in Korea, signaling strong L2 ADAS readiness.

According to Sawyer Merritt, Tesla is expanding FSD V14.3.2 to more owners, signaling broader access and feature stability.

According to SawyerMerritt, a 10-year-old Tesla Model S self-drove via updates, highlighting SDV ROI versus static 2019 e-Golf software.

According to Sawyer Merritt, Tesla FSD handled a fully autonomous U-turn, highlighting urban maneuvering progress and real-world capability.

According to Sawyer Merritt on X, Tesla published a new factory video showing Cybercabs without steering wheels leaving the production line and autonomously driving themselves to the outbound lot, indicating a production-intent robotaxi form factor and in-plant self-driving workflow. As reported by Sawyer Merritt, the footage suggests Tesla is validating end-of-line autonomous driving for logistics, a key step for commercial robotaxi readiness and safety validation pipelines. According to the X post, the vehicles operate hands-free on factory grounds, signaling progress toward a purpose-built autonomy stack integrated with manufacturing and fleet operations. For AI vendors and mobility platforms, this highlights opportunities in perception model optimization for low-speed industrial domains, high-reliability vision-only stacks, and fleet orchestration systems aligned to autonomous yard movements, as reported by Sawyer Merritt.

According to Sawyer Merritt on X, Tesla’s Smart Summon in FSD v14.3.2 initiates and maneuvers out of parking spots significantly faster based on late-night tests across multiple parking lots, indicating reduced startup latency and quicker forward and reverse actions. As reported by Sawyer Merritt, these observable performance gains suggest inference and motion-planning optimizations that could enhance user satisfaction and perceived reliability in low-complexity environments. According to Sawyer Merritt, faster Smart Summon responsiveness may increase feature utilization, supporting Tesla’s software subscription value proposition and over-the-air upgrade cadence for autonomous features.

According to Sawyer Merritt on X, Tesla’s FSD v14.3.2 now prompts drivers to select a reason after disengaging Autopilot, offering predefined options in the vehicle interface. According to Sawyer Merritt, this structured, in‑the‑loop feedback can streamline labeling of edge cases and improve reinforcement learning from human feedback by linking driver intent to specific failure modes. As reported by Sawyer Merritt, the change signals a push to reduce subjective free‑text reports, enabling higher quality telemetry for model fine‑tuning and faster iteration cycles. According to Sawyer Merritt, the feature could accelerate closed‑loop safety validation by correlating disengagement categories with map context, perception errors, and planning hesitations, improving model reliability for urban driving.

According to Sawyer Merritt on X, Tesla’s paid robotaxi program has logged 1.7 million miles, up from 610,000 at the end of Q4 2025, indicating rapid expansion of supervised commercial autonomy trials. As reported by Sawyer Merritt, the scale-up suggests higher route density for Tesla’s supervised autonomy fleet and increased rider supply, which can improve model learning through real-world edge cases and drive per-mile cost reductions. According to industry coverage by Electrek and previous Tesla earnings calls, Tesla is developing end-to-end neural networks and planning an Optimus and Dojo-aligned stack; this new mileage milestone implies more labeled driving data volume that can accelerate model iteration cycles and reduce disengagement rates in geofenced operations. As reported by Tesla’s past FSD updates in release notes and discussed by investors on earnings calls, expanding paid rides can validate pricing, utilization, and safety KPIs crucial for regulatory dialogs and market entry sequencing. According to Sawyer Merritt, the jump from 610,000 to 1.7 million paid miles in roughly one quarter highlights potential network effects for marketplace liquidity, opening opportunities for city-by-city launches, driver-partner programs, and fleet optimization software revenues.