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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 hyper-optimized Qwen3.8-27B inference stack using DFlash2 reaches about 138 tokens per second on a power-limited RTX 3090, while 64-request throughput reaches 942 TPS. Prefix caching also reduces long-chat follow-up latency from roughly 23 seconds to under 1.4 seconds in reported tests.
Marvell and Google are deepening their partnership on custom AI chip development. Marvell is giving Google the right to purchase up to $12.2 billion in Marvell stock, strengthening their long-term alignment in the AI hardware race.
Tencent's Hunyuan Hy4 has reportedly appeared in the model selection list of the Yuanbao app under an expert-level label and with tool-use capabilities. It is positioned above Hy3 and alongside DeepSeek, following Tencent's recent statement that a larger-parameter Hy4 would launch soon with improved performance and multimodal abilities.
MORPHI made its first systematic domestic appearance at WRC, showcasing its newly released embodied-intelligence model architecture, MoRA. The demonstration focused on how a robot’s embodied brain supports practical long-horizon tasks.
New releases from Chinese competitors are narrowing the gap with Silicon Valley’s AI products, including ChatGPT and Gemini. Lower pricing is helping these services gain market share, alongside offerings such as DeepSeek and Kimi agents.
Flock Safety has developed an AI system that allows police to search for people and vehicles based on movement patterns. The capability appears to contradict the company’s longstanding claim that its cameras cannot identify or track individuals.
Z.ai argues that model scaling should account for data, compute allocation, inference cost, sparsity, effective depth, and post-training—not parameters alone. The post presents GLM-5.3 as a controlled experiment using the same total and activated parameters as GLM-5.2 while scaling long-horizon environments and reinforcement learning for one month.
Vercel Functions can now emit custom metrics and analyze them alongside built-in observability data. Developers can filter, aggregate, visualize, and query these metrics across Vercel Observability.
Loudoun County has changed its zoning rules so new data centers can no longer be approved as routine office-park projects. Developers must now obtain approval from residents and local government, ending more than 25 years of relatively easy approvals.