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llar. The benchmarking results highlight consistent stability across multiple benchmark datasets in multiple languages, such as NOTSOFAR, AMI, CALLHOME, and AISHELL, outperforming Meta Muse Voice Transcribe on all datasets at even the ultra-low configuration, and losing to pyannote Community-1 only on AMI. Even under ultra-low latency configurations, the error rate remains within a tight margin of offline baselines, confirming robust speaker attribution under real-time constraints. Streaming dia

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llar. The benchmarking results highlight consistent stability across multiple benchmark datasets in multiple languages, such as NOTSOFAR, AMI, CALLHOME, and AISHELL, outperforming Meta Muse Voice Transcribe on all datasets at even the ultra-low configuration, and losing to pyannote Community-1 only on AMI. Even under ultra-low latency configurations, the error rate remains within a tight margin of offline baselines, confirming robust speaker attribution under real-time constraints. Streaming dia

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alent. Having Jürgen join Sakana AI is a testament to this commitment. His foundational contributions to the field are legendary, specifically his pioneering work on World Models, Meta-Learning, and the Gödel Machine, as well as the 1991 deep learning techniques that underpin much of today’s AI boom. Now, he brings that visionary expertise to our team in Japan. His arrival also highlights a shared respect for Japan’s true history of technical innovation. Japan did not merely participate in the A

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, and fetch full document pulls the complete document when a single chunk isn’t enough. Retrieval quality is improved with Amazon Bedrock reranking on semantic queries and team id metadata filtering for team-scoped lookups. HAL worked well in its own chat UI, but people live in other tools: their IDE, their AI assistant. The second step was to let external MCP clients such as Kiro and Claude reach the same knowledge and tools, without handing out AWS credentials. That meant adding a second Agent

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lities, and the actions parts of each government continue to take, are the downward leg. The system is currently being held together by that upward leg, but it’s very fragile. The metaphor is more than a parallel. When I hear talk of a truce or a détente, that sounds static, like a situation we’ve arrived at. But we all feel that US-China relations is actually quite dynamic and quite unstable, moving in two vectors at once. The Midterms Jordan Schneider: I don’t know who in the Trump administrat

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odel and 20GW of data-center capacity by 2032. British Columbia sued OpenAI and Sam Altman, alleging the company failed to alert police after flagging the Tumbler Ridge shooter’s ChatGPT use. Meta’s Muse reportedly outpaced ChatGPT’s mobile debut, with 1.8M U.S. and Canadian iOS downloads in 12 days to ChatGPT’s 1.3M. Twenty countries and the EU called for stronger global oversight of advanced AI, urging transparent company safety protocols and coordinated government standards. Sponsored listing

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n progress is a stock rather than a total — while capital expenditures are however much money was spent, CIP represents the accrual of stuff. Across hyperscalers including Google, Meta, Oracle, Amazon, SpaceX, and Tesla, neoclouds like CoreWeave and IREN, and colocation companies like Core Scientific and Applied Digital, there is over $374 billion in construction in progress, a figure that’s likely lower than the true number, because Amazon’s contribution ($71.7 billion) is only current as of th

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多是组织结构的问题。也就是说，实验室里有研发和建模算力，我觉得这两者有点被混在一起了。而现实情况是，让下一代模型变得更好的算力，和两三代之后的模型相比，差别非常大。而且我认为中国实验室只是在更短的时间跨度上投入。然后，如果架构或其他方面出现重大创新，并在美国生态系统中传播开来，我猜中国实验室也会搞明白。我不认为架构创新能在 Anthropic、OpenAI、Meta 和 Google 之间很好地保密。我认为这些都会通过人员流动很快泄露出去。 00:39:50 JS Denain：我明白了。所以你认为那确实有很大影响。所以基本上，我觉得看起来你就是认为，用其他解释就能走得很远，以至于你并不真的需要蒸馏来解释差距的一大部分。 00:40:03 Nathan Lambert：是的。所以我认为，如果没有蒸馏，差距会相当接近。而且，光是构建这些模型，就有太多唾手可得的成果，我不认为蒸馏能堵上多少你正在做的那些唾手可得的成果。这很不清楚。就像一旦你把你的推理轨迹确立为……这还没有被证实，但我认为在中期训练和 SFT 中，你的推理轨迹需要有一种相当独特的风格，才能把它堆叠起来，并为模型定义一个明确的

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upport is coming. This new change is in beta and will be live for all users soon. Also, finally, Claude Code will now support AGENTS.md (via their new feature Claude Mods ). Muse, Meta’s personal AI agent , is getting love from everyone (who has access). It has a Mac app and a developer platform to build connectors , so people can use external services through Muse. And of course, it’s heavily inspired by OpenClaw . Muse can shop for you - well, it could, until Amazon started blocking it . Meta

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about decommissioning it and then decide not to. So the technology is of course incredibly important, as was the innovation required to put it all together. The reason I like this metaphor, and why I think it’s relevant to AI today, is that it wasn’t just the technology, not just the plane. The way they bought it mattered. The innovations around acquisition reform mattered. The way industry and government worked together mattered. And then the way the information coming out of the plane was actu

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ision, analyze for context, alert the right people, store for compliance, and learn from production data. Video is analyzed at the edge, only safety-relevant frames and structured metadata move to the cloud, and a correlation layer turns raw detections into high-confidence safety events. The following diagram shows how the components fit together. Figure 1: End-to-end IRIS architecture on AWS, from edge camera processing through streaming, inference, correlation, alerting, and storage The workfl

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tes, when a file or document lands in Amazon S3, an S3 event notification invokes an AWS Lambda function. The Lambda function generates a document ID, stores it alongside document metadata in Amazon DynamoDB, and starts an Amazon Bedrock Data Automation job to process the file. Amazon Bedrock Data Automation extracts structured insights based on the media type. When the job completes, an Amazon EventBridge rule triggers a second Lambda function that saves the results to a dedicated output bucket

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: Patrick Wardle reported a serious local-hijack flaw in Muse , arguing broad OS access makes such assistants a high-value attack surface. In contrast, DeepLearningAI highlighted Meta’s design philosophy for Muse-like agents: assume prompt injection will happen, keep real credentials away from the model, isolate tools in containers, and use an independent outbound-call gatekeeper. Commercial agents are also being pushed deeper into workflows : Cognition introduced Devin Cloud in Terminal and de

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elping researchers understand how setup choices may influence reported performance. As more evaluators adopt EEE, open comparisons like these can support broader and more reliable meta-research. AISI's Terminal-Bench 2.0 results alongside other reported evaluations for the same models, under different evaluation setups. We are excited about this adoption and look forward to further standardising and sharing evaluations with AISI and other AI evaluation organisations. Contribute to the shared mis

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What is the GGUF file format? GGUF packages model weights and metadata, including tokenizer information and an optional chat template, in one file. It supports different quantization levels, letting you trade some precision for a smaller memory footprint. Variants such as Q4 K M mix tensor precisions, using mostly 4-bit weights while keeping sensitive tensors at higher precision. Here's how quantization changes the file size of Unsloth's Qwen3.5-4B : We suggest starting with Q4 K M , then trying

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turability have already been verified is retained, and performance is improved by substituting or doping certain elements. Typical examples include replacing a specific transition metal in a battery cathode material with another element or altering the element located at the active site of a catalyst. However, existing crystal generation models have not sufficiently addressed the key challenge of generating new atomic species suitable for a given structure. LG AI Research recognized this gap bet

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nformation, from medical issues to financial information. About half of all American adults report having used an AI tool, according to a June study from the Pew Research Center . Meta says it will alert parents if teen AI chats suggest suicide risk The increase in data sharing has triggered privacy concerns , as many AI companies say they use users' chatbot conversations to train their large language models. "Once that data is being used for training purposes, we don't really know, kind of, wha

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dylan522p by the way :) Thinking Machines - Inkling - Jul 15 Moonshot - Kimi K3 - Jul 16, weights Jul 26/27 inclusionAI - Ling 3.0 Flash - Jul 23 DeepSeek - V4-Flash-0731 - Jul 31 Meta - Muse Spark 1.2 / Muse Code - Aug 5 Liquid AI - LFM2.5-2.6B - Aug 6 inclusionAI - Ling 3.0 Tiny - Aug 6 Meta - Muse Glimmer - Aug 10 NVIDIA - Nemotron 3.5 Lightning - Aug 11 Liquid AI - LFM2.5-VL-3B - Aug 12 Cohere - North Micro Vision Instruct - Aug 12 DeepSeek - V4-Pro-0813 - Aug 13 Qwen - Qwen3.8-27B - Aug 14

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ncoming data, RDMA-capable systems may allow the network to place data directly into accelerator memory, avoiding a full copy through CPU DRAM. CPU memory still remains useful for metadata, coordination, partial assembly, fallback paths, replicas, and outgoing staging. When a worker uses multiple GPUs the incoming context can be striped directly to their destination memories in parallel. Rack-level hot-blob caches can also be useful, whether implemented as memory/storage appliances or making use

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. ElevenLabs now has about 15 of these in house, and the job description is public if teams want a template for hiring one; Distribute. A media buyer pushes the assets live across Meta, LinkedIn, and other channels; Analyze. The strategist, producer, and media buyer meet weekly to review results and plan the next week's content The sequencing advice for teams starting from scratch: hire the AI creative producer first. Once one or two are consistently producing strong content, add a dedicated str

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