According to @SawyerMerritt on Twitter, Tesla owners in South Korea have collectively driven over 1 million kilometers (621,000 miles) using FSD (Supervised) just one month after its launch in the country (source: @tesla_korea, Sawyer Merritt, Dec 24, 2025). This rapid adoption highlights a significant milestone for AI-powered autonomous vehicle technology in Asia, showcasing robust consumer confidence and real-world data generation for Tesla's Full Self-Driving system. The extensive mileage not only provides Tesla with valuable localized training data to improve its AI algorithms but also signals growing business opportunities for AI-driven mobility solutions in the South Korean automotive market. As FSD (Supervised) continues to gain traction, industry analysts see increased potential for partnerships, regulatory engagement, and new revenue streams within the APAC region.

According to Sawyer Merritt, Tesla has updated its U.S. referral program, offering 3 free months of Full Self-Driving (FSD) or $500 off when purchasing FSD on a Model 3 or Y for new buyers, while referrers receive up to $500 in credits. This move highlights Tesla's focus on expanding adoption of its AI-powered FSD technology, leveraging incentives to increase market penetration and data collection for AI-driven autonomous systems. The strategy supports Tesla's ongoing effort to commercialize advanced driver assistance and self-driving features, creating new business opportunities in the automotive AI sector. Source: Sawyer Merritt (@SawyerMerritt, Nov 14, 2025)

According to @timnitGebru, the development and subsidization of AI-driven erotica bots are being positioned as strategic investments toward achieving Artificial General Intelligence (AGI), with the suggestion that such projects could eventually deliver broad societal benefits (source: x.com/sama/status/1986514377470845007). This statement highlights a growing trend in the AI industry, where consumer-facing applications—such as conversational AI and adult-content bots—are viewed not only as revenue generators but also as data-rich training environments that accelerate AGI research. The business opportunity lies in leveraging high-engagement use cases to amass large-scale, diverse datasets and user feedback, which are critical for advancing natural language processing and adaptive learning models. Companies investing in these domains must balance ethical considerations with the potential for market expansion and technological breakthroughs (source: @timnitGebru).