{"id":78355,"date":"2024-03-18T16:44:55","date_gmt":"2024-03-18T11:44:55","guid":{"rendered":"https:\/\/myelectricsparks.com\/?p=78355"},"modified":"2024-03-18T16:45:00","modified_gmt":"2024-03-18T11:45:00","slug":"tesla-rolls-out-full-self-driving-beta-v12-3-update","status":"publish","type":"post","link":"https:\/\/myelectricsparks.com\/tesla-rolls-out-full-self-driving-beta-v12-3-update\/","title":{"rendered":"Tesla Rolls Out Full Self-Driving Beta v12.3 Update"},"content":{"rendered":"\n
Tesla, the electric car giant has officially rolled out its groundbreaking Full Self-Driving (FSD) Beta v12.3 software update. This significant development marks a crucial step forward in Tesla’s quest to achieve fully autonomous driving capabilities, bringing forth a wave of excitement and anticipation among fans and industry experts alike.<\/p>\n\n\n\n
The FSD Beta v12.3 update represents a monumental leap in Tesla’s approach to autonomous driving technology. Unlike its predecessors, this update heralds the widespread adoption of “end-to-end neural nets,” a term championed by Tesla CEO Elon Musk. <\/p>\n\n\n\n
\nCEO Elon Musk says it\u2019s a \u201cbig release\u201d.<\/p>\nvia electrek<\/cite><\/blockquote>\n\n\n\n
This transformative approach involves the training of neural networks on millions of video clips, enabling the vehicle’s controls to be guided by artificial intelligence (AI) rather than conventional programming methods.<\/p>\n\n\n\n
\nThis is a big release. Should arguably be called v13.\u2014 Elon Musk (@elonmusk)\u00a0March 12, 2024<\/a><\/p>\nvia electrek<\/cite><\/blockquote>\n\n\n\n
The integration of “end-to-end neural nets” marks a significant departure from previous iterations of Tesla’s self-driving software. With the v12.3 update, AI assumes a central role in the vehicle’s decision-making process, effectively replacing over 300,000 lines of explicit C++ code. This shift promises to usher in a new era of more nuanced and adaptive driving experiences, characterized by enhanced responsiveness and improved navigation through complex scenarios.<\/p>\n\n\n\n