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Waymo has published the architecture of its robotaxi onboard computer, offering its first detailed look inside the vehicle system. The company also introduced a custom 5-nanometer chip and identified seven suppliers supporting the platform.
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.
Researchers introduce an open-source benchmark separating olympiad geometry solving from accurate diagram construction. Across 954 problems, current foundation models achieved only a 36.14% average diagram compilation success rate, revealing a substantial gap between mathematical reasoning and faithful visual construction.
OpenAI says it has temporarily slowed scaling, paused reinforcement learning for two weeks, and placed its largest planned frontier RL run on hold while it strengthens safety evaluations. It will also offer zero data retention to eligible API customers starting in September.
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.
Waymo has disclosed key details about the high-performance computers installed in the trunks of its robotaxis. The company shared processor specifications, chip architecture, internal components, and hardware suppliers for the first time.
Entropic Scree is an open-source, model-agnostic diagnostic that uses Normalized Mutual Information to estimate intrinsic rank in complex tabular datasets. It aims to reduce the overestimation and structural failures associated with PCA, Kernel PCA, and Euclidean nearest-neighbor estimators.
Meitu Imaging & Vision Research Institute (MT Lab) proposes a new scene text editing approach for languages ranging from Chinese to low-resource languages. The research is presented as an ICML 2026 contribution and focuses on making text changes appear seamless within images.
ByteDance’s Seed foundation-model division has reportedly completed another internal restructuring. Its foundation-model organization now includes four first-level departments focused on pretraining data, reinforcement learning, product post-training for work, and product post-training for chat.