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Anthropic reportedly expects its IPO to match or exceed SpaceX's record $75 billion raise and could file publicly as soon as the end of this month. The company reportedly recorded an almost $42 billion net loss in 2025, about five times the previous year's figure.
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.
Meta’s Muse Video model has entered a closed beta, with early tests highlighting native audio generation. The model reportedly produces 10-second videos with strong visual detail and temporal consistency.
NVIDIA FLARE enables organizations to coordinate training for vision-language models while keeping sensitive image and text data at local institutions. The approach supports multimodal use cases such as visual question answering, captioning, and image-text reasoning without centralizing raw records.
Cloudflare revisited remote Spectre attacks against its Workers infrastructure during 2024 and 2025. The analysis examines new attack primitives, including Spectre gadgets, remote timers, co-location techniques, and strengthened defenses.
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.
Korean semiconductor equipment makers Wonik Engineering and PSK reportedly saw their China revenue fall by more than 40% in 2025. The decline is linked to CXMT’s slower investment pace and the acceleration of domestic semiconductor equipment substitution in China.
文章质疑 Elon Musk 对 Neuralink 视皮层假体 Blindsight 的夸张宣传，并将其与既有视网膜假体和视皮层假体路线进行比较。现有技术可以让部分失明患者感知光点、辨认简单形状或避开障碍物，但距离自然视觉和多波段“超人视力”仍有很大差距。
Turing Award winner Richard Sutton criticized the AI industry’s growing reliance on synthetic data to address training-data shortages. Speaking on Sequoia Capital’s Training Data podcast, he called the shift “a big mistake.”
AI video creation is moving toward a previsualization workflow built around 3D white models instead of extremely long prompts. This approach helps AI systems follow precise camera-movement requirements more reliably.