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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。
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.
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.
A Chinese-led team from Nanjing University and the National University of Singapore developed 光语芯, an ultra-low-power intelligent vision sensor chip that directly converts light into tokens. The tokens can be fed into an encoder for image recognition.
FinSkillBench is a new benchmark for testing AI agents on portfolio construction, risk management, and fundamental analysis. Across nine models, curated procedural skills raised mean performance from 0.366 to 0.528, while self-generated skills delivered little benefit.
Moderna and Merck reported that a personalized mRNA therapy, intismeran, combined with Keytruda met key recurrence and distant-metastasis survival endpoints in a prespecified interim analysis. The approach uses AI to select up to 34 tumor-specific neoantigens for an individually manufactured treatment.
Ornith-1.5 launches open models in 397B, 35B, and 9B parameter sizes. The models feature self-improving task and scaffold generation and report strong performance on coding and reasoning benchmarks.