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AMD acquires World Labs AI startup, upping the ante against Nvidia

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Chipmaker AMD and world models company World Labs announced that AMD will acquire the AI company by the end of the year, pending regulatory approval. The transaction is valued at $8.2 billion. In 2024, computer vision scientist Fei-Fei Li founded World Labs with fellow researchers Justin Johnson, Christoph Lassner, and Ben Mildenhall, with $230 million in funding, some of which came from AMD. The company began working on new world models, which are AI models that aim to provide a useful, predictive simulation of the physical world. Competing architectures exist…

Ars Technica AI · 29 Sep 2026 · 23:14 CESTRead story →Original ↗

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AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’

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A series of videos from people inside the industry building AI technology echoed some of the ‘doomer’ warnings others have sounded recently. A series of videos from people inside the industry building AI technology echoed some of the ‘doomer’ warnings others have sounded recently. “The chance of human extinction is about a coin flip, in my view,” Geoffrey Irving, a former OpenAI and Google DeepMind employee, said in a new interview. It’s one of a dozen interviews with AI researchers, including current and former employees at OpenAI, Google, and Anthropic.…

The Verge AI · 29 Sep 2026 · 19:54 CESTRead story →Original ↗

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How Condé Nast built multimodal video discovery with Amazon Bedrock

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Condé Nast’s editorial teams had no fast way to do multimodal video discovery. They were spending an average of 250 minutes per content discovery task, manually scrubbing through a library of more than 140,000 videos. They relied on titles and descriptions to find relevant clips. In a media environment where speed-to-market directly determines revenue capture, this process created measurable operational drag across brands such as Vogue, GQ, Vanity Fair, and Wired. The core problem was structural: Existing search tools can’t look inside video content. Teams depended on institutional knowledge to…

AWS AI · 29 Sep 2026 · 17:55 CESTRead story →Original ↗

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Generate images and video with vLLM-Omni on SageMaker AI – Part 2

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In this post, you turn a text prompt into an image, then animate that image into a short video on Amazon SageMaker AI. You deploy two endpoints from the same AWS vLLM-Omni Deep Learning Container (DLC): a real-time endpoint for FLUX.2-klein-4B image generation and an asynchronous endpoint for Wan2.1-VACE-1.3B video generation. The workflow sends a text prompt to generate a still image, then passes the image and a motion prompt to the video endpoint. It retrieves the MP4 from Amazon Simple Storage Service (Amazon S3) and provides an optional Streamlit…

AWS AI · 28 Sep 2026 · 18:15 CESTRead story →Original ↗

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Can Apple Home’s AI camera features outsmart Amazon’s and Google’s? I put them to the test

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I used Google’s Nest Doorbell (left), Aqara’s HomeKit-compatible G400 (center), and the Ring Pro 4K (right) to test the new AI features of Gemini for Home, Apple Intelligence for Home, and Amazon’s Ring. | Photo by Jennifer Pattison Tuohy / The Verge A few years back, I was at a beachside Easter egg hunt, watching my kids dash through sand dunes searching for sweet treats. My phone buzzed in my pocket; I ignored it. A moment later, it buzzed again. I pulled it out, glanced down, and saw a "motion…

The Verge AI · 25 Sep 2026 · 22:41 CESTRead story →Original ↗

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Speaker-labeled transcription with WhisperX on SageMaker AI

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Any team working with spoken audio hits the same wall with generic speech-to-text. Think contact-center calls, all-hands meetings, podcasts, depositions, and broadcast media. These workloads need two things that standard transcription gets wrong. First, timestamps land at the utterance level, off by several seconds. Second, there’s no reliable answer to “who said what.” Those gaps make transcripts hard to search, caption, redact, or analyze at scale. A missing speaker label breaks compliance review, and an imprecise timestamp breaks a caption or a redaction. WhisperX closes both gaps. It wraps OpenAI’s…

AWS AI · 24 Sep 2026 · 18:20 CESTRead story →Original ↗

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Agentic conversational video intelligence built on AWS

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With video intelligence powered by agentic AI, you can ask natural language questions about uploaded videos and get answers within seconds. Organizations across media, security, insurance, and professional services are generating more video than their teams can review. Meeting recordings accumulate in shared drives, and security cameras capture weeks of unreviewed footage. Field inspection videos sit in object storage long after the initial review. The information inside these videos is often valuable: a design decision discussed three weeks ago, the exact moment a person arrived at a door, or the…

AWS AI · 23 Sep 2026 · 20:21 CESTRead story →Original ↗

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Introducing agentic video understanding with Gemini

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Our new agentic feature for video analysis cuts token consumption by up to 88%, reduces costs by up to 66%, and boosts quality by up to 7%. Google just launched agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. This feature allows the model to dynamically scan video segments, which improves accuracy while cutting token usage by up to 88% and costs by up to 66%. You can start using this today by setting your API configuration to "agentic" in Google AI Studio or the Gemini Enterprise…

Google DeepMind · 1 Sep 2026 · 19:08 CESTRead story →Original ↗