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on details To support both phases, AutoSynthData separates generation control from environment-specific execution. A shared controller coordinates generation, quality control, coverage, and dataset construction, while an adapter handles environment execution, task and state management, reference replay, deterministic verification, solver execution, and task profiling. Together, parallel target generation and multiplication provide a path to training-scale datasets. Their usefulness depends on th

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etrics throughout the development of AstaBrief: Rubric score , which measures how much necessary content is covered by the report. Answer precision , which measures whether each paragraph is relevant to the question. Citation precision , which measures whether each citation supports the claim it's attached to. Citation recall , which measures whether the report's claims are fully supported by the citations provided. For our final model, we also ran secondary evaluations: DeepScholarBench , a 63-

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is that it’ll compliment certain use cases for generative spoken word — such as having a calming soundtrack for poems, or something more energetic for dramatic voiceovers and encouraging speeches. To use the feature, select the “Create” tab, and navigate to the Speech option. There are two modes: Simple, which allows you to describe what you want to create via the provided prompt box (such as “a pirate captain rallying his crew”), or the Advanced mode that lets you add a custom script if you alr

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ring abandoning its goal of matching 100 percent of its electricity use with renewable energy on an hourly basis — seen as one of the industry’s most ambitious strategies for encouraging renewable energy growth. In 2024, after grappling with contradictions she saw between Microsoft’s sustainability goals and the company’s business deals, Holly Alpine left her role leading the company’s ecosystem restoration and climate resilience initiatives in dozens of communities near data centers. While she

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d on the following: An AWS account with access to Amazon SageMaker AI in the US West (Oregon) AWS Region (us-west-2); Training and validation datasets uploaded to Amazon Simple Storage Service (Amazon S3) in the required format (see the MTRL documentation for details); A deployed agent endpoint that exposes BM25 and vector search tools for the MTRL environment to call during rollouts; Familiarity with Amazon SageMaker AI and Python Solution overview In this post, we use Amazon SageMaker AI MTRL

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ration source in Amazon Cognito. This approach closes the web search gap without introducing third-party dependencies, and all queries stay within your AWS boundary. About the author Jishnu Dasgupta Jishnu is a Solutions Architect at AWS who specializes in manufacturing and automotive domain. His focus areas are building, migrating and modernizing applications on AWS. He leverages his expertise and experience to help AWS customers build optimized, scalable and fit to purpose architecture on AWS.

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re-defined, mechanical silence gap. Though it's not the focus of this article, you can also use Audio Tags to create emotional Text to Speech output by varying emotions across a paragraph. The three pause controls in Eleven v4 Eleven v4 gives you three ways to add pauses in AI voiceover. We’ll show how each of these works in practice in our text editor and outline how they feel with an example audio. [pause] A pause is a short beat. It’s roughly equivalent to a breath, or the natural space a spe

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We build ours on AutoState with two sum field entries, a numerator and a denominator, and then merge a six-row batch with a two-row batch. The pooled result is exact, while the average of the two per-batch rates is visibly wrong, which is precisely what would happen on the ragged last batch of an epoch, and since merge is associative the same mechanism aggregates a metric across devices without caring what order the results arrive in. Now we train. A Kauldron dataset is any callable returning a

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lar incidents from happening in the future? Unclear. The correct answer to all this uncertainty surely isn’t “I guess we’ll find out.” But that’s exactly what self-regulation encourages. To its credit, OpenAI has delayed and even canceled the release of its most advanced models over security concerns. But not before they went on various, extensive hacking sprees, new details about which are still trickling out at a steady pace. In an interview with TIME published on Thursday, Trump suggested tha

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er, and the "To top" control is a small pill that stays out of your way. On tablets the rerun button keeps its shape. Collapsed sidebar rows now have their "..." menu. ORGANIZE & DRAG AND DROP The selection rectangle in Organize mode now starts from anywhere, so selecting no longer accidentally drags images. Dragging an image shows an attach card on the prompt bar with a "Reference style" option below it. Moodboard pages accept files dropped straight from your computer. POLISH & BUGS If you enco

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ness rose by 4.4X to $39.77 billion in the quarter, and despite HBM’s best intentions with rising prices, DRAM was not Micron’s fastest growing product line. Flash non-volatile storage was, with sales up 6.2X to $14.1 billion. If capacity were not a constraint – meaning, if Micron could drop in working foundries in a few quarters rather than several years – it would still take many years for the flash business to catch up to the DRAM business. That said, for a dollar of capex, NAND flash memory

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ve that intermediate buffer. It consumes the positions selected by the sparse indexer, loads the compressed rows, and unpacks them on-chip as attention needs them. NVFP4 is the storage format; the attention computation uses FP16 operands with FP32 accumulation. For each query token, a cluster of cooperating thread blocks divides the selected rows. In the GB200 configuration, each cluster spans three to eight SMs. The blocks combine their partial results through distributed shared memory, without

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ed experiments, project drift, and AI slop. Recently I had Codex run a multi-step finance task: read our company debit card spend data, calculate the trailing three-month spend average, add a buffer for taxes, and issue merchant-specific Ramp cards at that limit and then notify each cardholder in Slack. The cards came out correct, but the Slack messages didn’t. They read like polished corporate memos, opening with “Hey @person” and other phrases that I’d never use—even though Codex had read my S

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Qwen beat vLLM by 71%, at 10,307 output TPS vs 6,030 output TPS in vLLM. The second experiment: image segmentation with SAM 3.1 The results from this first experiment were so encouraging that I decided to try it out on another model, of a completely different type, using the newly expanded knowledge base generated from the VibeQwen experiment. This time I wanted an optimized inference server for SAM 3.1, a state of the art image segmentation model. In this case, I used Facebook’s reference serve

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a few open source contributions from perplexity recently: •pplx-decider-v1-27b: SoTA multimodal decision model. 85.7% average across 11 benchmarks, ahead of Jev. •pplx-embed-v2-context-9b-preview: SoTA contextual embeddings, best on ConTEB and turbopuffer context-bench. •Lily: local inference engine for Apple silicon. rust plus custom metal kernels, no pytorch or mlx. 1.23x faster prefill and 1.35x faster decode than MLX-LM on an M5 Max •PII-Tracer: 0.6B on-device PII classifier that decides whe

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esponse stream failed; Claude Code now streams again, and gives up after three timeouts; Fixed /login reporting "Login successful" when credentials could not be saved to secure storage; it now shows the failure, and offers a retry when the new login didn't take effect ( 73861); Fixed a Stop during Bedrock credential lookup sometimes moving the session to a fallback model instead of ending the request; Fixed a second gcpAuthRefresh/awsAuthRefresh browser sign-in opening when a laptop wakes from s

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combinations, and selects the best variant for each workload. Hybrid Dispatch Fig. 2: Helion linear backend hybrid dispatch strategy based on runtime num tokens and CUDA Graph coverage. We adopt a hybrid dispatch strategy based on runtime num tokens and CUDA Graph coverage. For small shapes up to max helion size, the linear backend dispatches to Helion under CUDA Graph replay. For larger shapes beyond max helion size, it falls back to the default kernel (CUTLASS/DeepGEMM). This hybrid dispatch s

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is probably our single best predictor of danger). This could lead to a situation where a developer that was trying to maintain safety while improving capabilities was unknowingly dragging safety down by scaling up capabilities; Developers have other motivations. Altruism re: not killing everyone; Altruism re: quickly curing diseases etc; The joy of building cool things; Fear of losing their job if they’re first to highlight safety issues; Intra-developer political dynamics; Not looking evil; …;

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igration policies.” Altman’s Jan. 28, 2017, blog post read, in part, “Tech companies go to extraordinary lengths to recruit and retain employees; those employees have a lot of leverage. If employees push companies to do something, I believe they’ll have to. At a minimum, companies should take a public stance. But talking is only somewhat effective, and employees should push their companies to figure out what actions they can take.” Tan says Altman’s words inspired tech workers across the industr

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igration policies.” Altman’s Jan. 28, 2017, blog post read, in part, “Tech companies go to extraordinary lengths to recruit and retain employees; those employees have a lot of leverage. If employees push companies to do something, I believe they’ll have to. At a minimum, companies should take a public stance. But talking is only somewhat effective, and employees should push their companies to figure out what actions they can take.” Tan says Altman’s words inspired tech workers across the industr

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