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Tesla’s Austin Robotaxi service may have reached fully unsupervised operation, according to monitoring data from Robotaxi Tracker. The tracker recorded 170 trips involving 54 vehicles over two weeks, all without an onboard safety driver, while similar deployments appeared in Dallas and Houston.
Tesla’s Robotaxi fleet in Austin may now be operating without human supervision. The report suggests the autonomous-driving rollout has progressed, although the wording indicates the development is not fully confirmed.
Tesla’s Austin robotaxi service appears to be operating without human safety monitors. An independent monitoring project recorded 170 rides across 54 vehicles over the past two weeks, all without a monitor onboard.
Waymo說明其自動駕駛 AI 策略，以及自2009年 Google Self-Driving Car Project 以來累積的技術演進。公司同時指出，採用單一 AI 模型的端到端（E2E）方式存在兩項問題。
Tesla requested permission to operate up to 5,000 robotaxis in Las Vegas, but Nevada regulators approved only 10. The cap was included in an interim order from the Nevada Transportation Authority dated 27 July.
A driverless Tesla Robotaxi in Austin repeatedly stopped near plastic barriers before ultimately crashing through them and continuing to drive. The incident has renewed scrutiny of Tesla’s path planning and decision-making after an executive described the service’s safety record as “impeccable.”
CISA warns that hackers are actively targeting Siemens equipment used in critical U.S. water infrastructure. Attackers are reportedly using artificial intelligence to identify vulnerabilities as water systems face increasing cyberattacks.
Alibaba has launched Qwen-UI-Agent, a general-purpose GUI agent foundation model designed for real-world tasks across mobile, desktop, web, and DeepSearch environments. The article reports that it surpassed GPT 5.6 and Claude Opus 4.8 on a mobile benchmark.
Nvidia announced full-scale production of its Spectrum-X Ethernet Photonics co-packaged optical switch for AI factories, using 200G-per-lane links. SK hynix simultaneously published a CPO technology roadmap targeting over 100 Tb/s per node, sub-1 pJ/bit energy consumption, and sub-10 ns chip-to-chip latency.
Long-form audiences remain highly sensitive to visible AI flaws, making full-stack AI production risky for films and television. Industry leaders are instead adopting human-led workflows where AI supports visual effects, previsualization, cleanup, quality control, and other production bottlenecks.