[AI Study & Window] The Momentum Tilts Toward E2E AI — Was Tesla Right After All? - 더에이아이

NVIDIA’s “Alpamayo” makes its debut… camera-based E2E draws renewed attention E2E shines in scalability and cost, while LiDAR·HD maps deliver results in unmanned commercialization Autonomous driving industry diverges by application stage and service purpose Camera-based end-to-end (E2E) AI is emerging as a new current in autonomous driving. Championed most aggressively by Tesla under Elon Musk, E2E AI has gained credibility as it has been deployed at scale in real vehicles. This approach shows strengths in areas different from those of traditional multi-sensor systems. Waymo, for example, has already commercialized fully driverless robotaxi services based on LiDAR, while Tesla is distributing its Full Self-Driving (FSD) system to millions of vehicles using cameras alone. The question, then, is whether the autonomous driving market this year will converge around Tesla-led E2E approaches—or whether another twist lies ahead. ◇ E2E Autonomous Driving Moves Into the Mainstream - [Deok-kyu's AIways] Old AI Service Discontinuation: Why People Are Protesting - Why Watermark Remover Demand Is Growing Amid AI Content Regulations - [AI Study & Window] Is Software an Ally—or Prey—in the AI-Reordered World? - Saltlux CEO Lee Kyung-il: "The key to agentic AI success lies in reasoning and economic efficiency" - The Battle of SOLIDWORKS Leaders "The Champion Has Been Stripped of His Belt" - [AI Study & Window] Anthropic Challenges OpenAI, Betting on ‘AI Infrastructure’ - Applied Unveils 2nm GAA Equipment, Says “Manufacturing Is Where the Battle Is Won” - Marie Curie Meets Da Vinci… Dassault Systèmes’ AI and Its Gender Philosophy - Memory Devoured by Servers, AI PC Market Faces Turbulence - Anthropic vs. U.S. Department of Defense: Big Tech’s AI Ethics Put to the Test - Who Locks the Door After Handing the Keys to an AI Agent?