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Cloud CISO Perspectives: At Next ‘26, why we’re multicloud and multi-AI

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Welcome to the second Cloud CISO Perspectives for April 2026. Today, Francis deSouza, COO Google Cloud and President, Security Products, explains why Google is multicloud and multi-AI, straight from Next ‘26. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the …

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This AI knew the answers but didn’t understand the questions

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For decades, psychologists have debated whether the human mind can be explained by one unified theory or must be broken into separate parts like memory and attention. A recent AI model called Centaur seemed to offer a breakthrough, claiming it could mimic human thinking across 160 different cognitive tasks. But new research is challenging that …

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Why pedestrian deaths keep rising: AI spots rare crash patterns where targeted fixes could save lives

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On average, car crashes cause more than 40,000 deaths per year in the United States. Technologies like seat belts, advanced airbags, and automated braking systems have improved car driver and passenger safety, but pedestrian deaths due to crashes have actually increased by 48% over the last decade, reaching about 7,500 fatalities in 2022. Transportation researchers …

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SenseNova-U1 just dropped — native multimodal gen/understanding in one model, no VAE, no diffusion

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What’s new: Text rendering in images actually works. Diffusion models scramble text because they don’t have a language understanding pathway. U1 does — because it’s natively multimodal. Posters with long titles, slides with bullet points, comics with speech bubbles — all clean. Infographics & dense visual output — posters, annotated diagrams, multi-panel layouts. Diffusion models …

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Adaptive Thinking: Large Language Models Know When to Think in Latent Space

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Recent advances in large language models (LLMs) test-time computing have introduced the capability to perform intermediate chain-of-thought (CoT) reasoning (thinking) before generating answers. While increasing the thinking budget yields smooth performance improvements at inference time, the relationship between LLM capability, query complexity, and optimal budget allocation remains poorly understood for achieving compute-optimal inference. To address …

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Extracting contract insights with PwC’s AI-driven annotation on AWS

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This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes significant time for legal, compliance, and procurement teams, especially when important insights are buried in lengthy, unstructured agreements. As contract volumes grow, finding specific clauses and assessing extracted terms can become increasingly difficult to scale. …

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The founder’s AI foundation: The top announcements for startups from Next ‘26

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The momentum is undeniable: the world’s fastest-growing AI startups are building with Google Cloud. Instead of stitching together fragmented point solutions, founders are building their businesses here because we offer the entire AI stack in a single, open environment. And, as we saw at Next ‘26 last week, we continue to advance the models, infrastructure, …

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