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PlanAssist, an AI planning tool developed by Google DeepMind in collaboration with the UK government, will expand to another 12 local planning authorities in England, bringing the total number of participants to 15. In early pilots in Barnet, Camden and Dorset, the tool reduced the average time planning officers spent on assessment tasks for household residential applications by 58%, and more than 70% of generated reports were approved by officers without modification. Built on Gemini, PlanAssis

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A new Google DeepMind paper found that after training Gemma-4 4B with reinforcement learning to write moral arguments, the proportion of cases where the model changed its answer on ambiguous MoralChoice cases due to a swap in option order dropped from 14.3% to 6.6%, but the proportion of sycophantic agreement with users only changed from 45.3% to 44.0%, and accuracy on moral fable questions actually fell from 56.5% to 53.4%. The paper recommends that when evaluating advice or judgment tasks, con

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Alphabet announced that Oracle will offer Google's TPUs, marking the first time customers can use TPUs outside of Google's infrastructure. Google had previously opened TPUs to external data centers in the second quarter, and analysts expect Google Cloud revenue to grow about 90% year over year. TD Cowen forecasts TPU sales of $9.4 billion in the second half of this year and $62.5 billion in 2027, while Wells Fargo expects about $9 billion in the third quarter and $99 billion next year; Anthropic

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Google released its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and in cybersecurity evaluations it scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. Google stated that it shows significant improvement over Argon on long-horizon tasks and has strengthened frontier safety protections; starting this week it will first be made avail

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A new paper from Google DeepMind proposes CALLIOPE: it has an LLM tag each document with a small number of keywords plus noise, keeps only high-frequency keywords, and then has the LLM propose topics and classify documents accordingly, thereby generating clearer topic maps under strict privacy constraints. Under the strictest privacy setting, human raters preferred CALLIOPE over the embedding-vector-based URANIA on all 3 datasets, with the highest margin being 76% versus 18%. This method consume

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Google Cloud revenue grew 103% year-over-year to $30.7 billion, while cloud business operating income more than tripled to $11.1 billion, driven mainly by demand for AI infrastructure. Google's model APIs currently process nearly 32 billion tokens per minute, more than 4 times the level a year ago, and the Gemini app has reached 1 billion users. TPU chip sales are making a substantive contribution to cloud growth; Oracle has begun offering TPUs, and OpenAI is reportedly also purchasing them, but

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Google's new paper proposes the PLE benchmark, comprising 85 electrical, civil, structural, and mechanical engineering tasks written or verified by practicing engineers; the strongest agent scores only 50.6%. Claude Opus 5.5, in Claude Code, ranks first among 14 models at 50.6%, consuming 27M tokens and 63 minutes per task, needing to read about 61 project files and deliver schedules, reports, or 2D/3D drawings. On design tasks, its output satisfies 91% of constraints, but only 41.3% satisfy all

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Google has released a new model, Gemini 4 Carbon, claiming it ranks first on Artificial Analysis V5 and is being made available first to cybersecurity defenders. The model shows notable improvements on coding and agentic tasks, scoring 88.2% on SEC-bench Pro vulnerability discovery, 54.8% on ExploitGym exploitation, and 71.0% on CWE-bench patching. Logan Kilpatrick said it is a big jump over Argon, which was released just two weeks ago, achieves SOTA on long-horizon tasks, and shows improvements

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Google has released the EmbeddingGemma 2 paper, an Apache 2.0-licensed on-device multimodal embedding model that maps text, code, images, audio, and video into the same vector space. The model is built on Gemma 4 and tuned through contrastive training by learning from the larger Gemini Embedding 2; with 744M parameters, it surpasses models 2 to 12 times larger on multiple tasks. On the Pixel 11 Pro, the quantized text weights occupy about 191MB of active memory, while the full multimodal model t

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Google Research releases the SLEEP method, which lets LLMs periodically switch between wakeful interaction and sleep consolidation, writing short-term contextual information into scalable long-term parameters, and self-improving with synthetic data during the dreaming phase. The sleep phase unlocks reserved MoE memory blocks, combining generalized knowledge distillation and imitation learning to complete memory consolidation, then resets high-frequency temporary parameters. In evaluations of con

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Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before

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Google and XREAL have officially launched the first Android XR glasses, XREAL AURA, with a noticeably lighter body that can be worn continuously for hours to watch movies or work across multiple screens. Gemini can act on everything within the field of view, including laptop windows, and users can ask it to organize windows or discuss the content in front of them. The product is aimed at users aged 18 and over, with orders opening today in the United States, Canada, and South Korea, sales starti

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Google has released its next-generation frontier model Gemini 4 Carbon, just two weeks after the release of Gemini 4 Argon. According to Sundar Pichai, Carbon ranks first on the ArtificialAnlys Intelligence Index v5.0 with a score of 59, scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench in cybersecurity evaluations, with notable improvements over Argon on long-horizon tasks. The model will first be made available to trusted cybersecurity defenders, then expand its colla

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