{"id":151834,"date":"2025-06-25T02:53:24","date_gmt":"2025-06-25T02:53:24","guid":{"rendered":"https:\/\/teknomers.com\/en\/she-doesnt-need-anyone-else\/"},"modified":"2025-06-25T02:53:26","modified_gmt":"2025-06-25T02:53:26","slug":"she-doesnt-need-anyone-else","status":"publish","type":"post","link":"https:\/\/teknomers.com\/en\/she-doesnt-need-anyone-else\/","title":{"rendered":"She doesn&#8217;t need anyone else."},"content":{"rendered":"\n<p>Elon Musk&#8217;s \u00a0boastfulness\u00a0 was on full display this past Sunday, and rightfully so. Tesla&#8217;s \u00a0robotaxis\u00a0 are finally coming to life, marking a significant leap forward in \u00a0autonomous vehicle technology\u00a0. Musk celebrated this milestone with a post on \u00a0X\u00a0, commending the team responsible for the launch. The achievement is notable not only because the robotaxis are functional but also because they are powered by \u00a0Tesla&#8217;s homemade chips and software\u00a0.<\/p>\n<p><!-- BREAK 1 --> <\/p>\n<h2>Tesla&#8217;s Robotaxis: A Vision Realized<\/h2>\n<p>\u201cIt\u2019s good to have autopilot in planes; we should have it in cars.\u201d This quote from Musk in 2013 initiated his ambitious quest to create fully autonomous vehicles. Since then, Musk has made numerous promises, and while some have been delayed, last weekend marked a \u00a0significant breakthrough\u00a0: the rollout of Tesla&#8217;s robotaxi service. However, it\u2019s not the \u00a0fully autonomous experience\u00a0 he initially envisioned. These vehicles began operating in \u00a0Austin, Texas\u00a0, but their functionality comes with strict limitations and only in \u00a0designated areas\u00a0 of the city.<\/p>\n<p><!-- BREAK 2 --><\/p>\n<div class=\"article-asset-image article-asset-normal article-asset-center\">\n<div class=\"asset-content\">\n   <a rel=\"noopener, noreferrer nofollow\" href=\"https:\/\/x.com\/elonmusk\/status\/1936876178356490546\"><\/p>\n<p>     <img decoding=\"async\" alt=\"Tesla Robotaxi Launch\" class=\"centro_sinmarco\" src=\"https:\/\/teknomers.com\/en\/wp-content\/uploads\/2025\/06\/She-doesnt-need-anyone-else.jpeg\"\/><br \/>\n   <\/a>\n <\/div>\n<\/div>\n<h2>The Long Journey of Autopilot<\/h2>\n<p>Those 2013 statements sparked a remarkable journey for Tesla, which soon decided to move away from partnerships and develop its \u00a0autonomous driving technology\u00a0 in-house. Initially, Tesla collaborated with \u00a0Mobileye\u00a0 to utilize its sensors and hardware. However, this relationship took a decisive turn in July 2016, when Tesla began developing its own hardware for autonomous systems.<\/p>\n<p><!-- BREAK 3 --> <\/p>\n<h2>Evolution of Hardware<\/h2>\n<p>In late 2016, Tesla began to integrate its first proprietary hardware platform, \u00a0Hardware 2\u00a0 (HW2), into its vehicles, succeeding the Mobileye-dependent \u00a0Hardware 1\u00a0. In August 2017, an upgraded version, \u00a0HW2.5\u00a0, was released. However, the most critical version to date is \u00a0Hardware 3\u00a0 (HW3), launched in March 2019. This version featured 14 nm chips and was the basis for Tesla&#8217;s vehicles until early 2023, when \u00a0Hardware 4\u00a0 (HW4) was introduced, emphasizing Tesla\u2019s commitment to improving its autonomous systems. The next iteration is expected to arrive in three to four years and will also utilize \u00a0chips manufactured by Samsung\u00a0.<\/p>\n<p><!-- BREAK 4 --><\/p>\n<h2>Powerful AI Chipsets<\/h2>\n<p>Both HW3 and HW4 utilize chips derived from Samsung\u2019s Exynos line. The HW3 model employed a 14 nm chip that featured 12 CPU cores and two \u00a0neural network (NN) processors\u00a0, offering an AI computing power of 36 TOPS. With the upgraded HW4 version, the chip is produced using 7 nm technology and includes 20 CPU cores along with three NN processors, delivering \u00a050 TOPS\u00a0 of computing capacity. The cameras have seen significant enhancements too, upgrading their sensors from 1.2 MP to 5 MP, alongside improvements in Tesla&#8217;s Vision system.<\/p>\n<p><!-- BREAK 5 --><\/p>\n<h2>Level 2 Autonomy<\/h2>\n<p>Despite these advancements, Tesla&#8217;s autonomous driving software remains classified as \u00a0Level 2 autonomy\u00a0, which positions it behind competitors such as Mercedes and Ford. Currently, the Full Self-Driving (FSD) system can autonomously control the vehicle, but the driver must always monitor its operation and be ready to take over. According to a \u00a0comparative analysis\u00a0 conducted in March 2024, FSD was rated as having &#8220;poor&#8221; capabilities, although this assessment applied to most systems reviewed.<\/p>\n<p><!-- BREAK 6 --> <\/p>\n<h2>The Role of Software<\/h2>\n<p>The hardware innovations are complemented by advancements in the \u00a0software platform\u00a0 that supports the FSD system. Tesla employs \u00a0deep neural networks (DNN)\u00a0 that have been trained using extensive datasets gathered from millions of kilometers driven by Tesla vehicles worldwide. A particularly noteworthy upgrade was the transition from FSD version 11 to version 12, which adopted an \u00a0end-to-end architecture\u00a0. This innovation has allowed vehicle control to be managed directly by the neural networks, eliminating reliance on distinct programming rules or modular systems for perception and driving management.<\/p>\n<p><!-- BREAK 7 --><\/p>\n<h2>The Dojo Supercomputer<\/h2>\n<p>In 2021, Tesla revealed its \u00a0supercomputer\u00a0, dubbed \u00a0Dojo\u00a0, designed to enhance the FSD models through more effective machine learning. By April 2024, Dojo had already integrated \u00a035,000 NVIDIA H100 chips\u00a0, illustrating the company&#8217;s commitment to refining its AI capabilities.<\/p>\n<p><!-- BREAK 8 --><\/p>\n<h2>Avoiding LiDAR<\/h2>\n<p>From the outset, Tesla chose not to incorporate \u00a0LiDAR technology\u00a0, which is a staple in systems employed by companies like Waymo. Despite critiques from industry experts, Musk has remained steadfast in his decision to avoid this technology, opting instead for a combination of \u00a0radar, cameras, and ultrasonic sensors\u00a0. In 2021, Tesla shifted its focus to an array of eight cameras and 12 ultrasonic sensors, which helped cut hardware costs, although some analyses suggest this could lead to avoidable accidents.<\/p>\n<p><!-- BREAK 9 --><\/p>\n<p>The landscape of autonomous driving is continually evolving, and while Tesla&#8217;s latest developments are promising, challenges remain. The onus is on the company to prove that its technology can match or exceed the capabilities of its rivals, and to ensure that it provides a safe, effective solution for consumers. As the journey toward full autonomy continues, the world will be watching closely to see how Tesla navigates this transformative era.<\/p>\n<p><br \/>\n<br \/><a href=\"https:\/\/teknomers.com\/category\/general\/\" rel=\"dofollow\">General News &#8211; 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Elon Musk&#8217;s \u00a0boastfulness\u00a0 was on full display this past Sunday, and rightfully so. Tesla&#8217;s \u00a0robotaxis\u00a0 are finally coming to life, marking a significant leap forward in \u00a0autonomous vehicle technology\u00a0. Musk celebrated this milestone with a post on \u00a0X\u00a0, commending the team responsible for the launch. The achievement is notable not only because the robotaxis are [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":151835,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36399],"tags":[6497],"class_list":["post-151834","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-doesnt"],"_links":{"self":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/151834","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/comments?post=151834"}],"version-history":[{"count":0,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/151834\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media\/151835"}],"wp:attachment":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media?parent=151834"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/categories?post=151834"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/tags?post=151834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}