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n (sometimes 1,000 digits): if few enough options remain, those numbers pin down the remaining coefficients exactly. The semi-numerical bootstrap seemed ideal for agentic AI. It draws on mathematics, physics, and computer science that no one person has mastered; it needs a great deal of coding and algorithm development; and it is checkable, since the same numerics let anyone, expert or not, verify the final answer against the integral to as many digits as they like by running two scripts. The co

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m adapted Amazon Nova 2 Lite to these business-specific moderation policies through supervised fine-tuning in Amazon SageMaker AI and a final prompt-level output optimization. The AWS approach kept correction data, managed training, evaluation, and deployment controls in one repeatable workflow. Model availability varies by AWS Region. See Supported models by AWS Region in Amazon Bedrock. Figure 1 shows the web, tablet, and mobile experiences covered by this moderation policy. Figure 1: uniopen

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n-technical adoption builders doing fun shit founders working on dev tools/infra potential LPs (individuals) go to deli board reach out on twitter Ben’s Bites is brought to you by AWS Marketplace Most ML teams build data pipelines before they’ve validated their approach. Databricks Data Intelligence Platform skips that step with data federation. Connect directly to Amazon Redshift, experiment on live data, and apply MLOps tooling like CI/CD to your ML lifecycle. See how it comes together. OpenAI

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A. “For some, that means keeping sensitive data in-country. For others, it means controlling who can access systems, where workloads run, how models are governed, and which local laws apply.” HPE and NVIDIA co-engineer AI factory solutions to reduce the integration work required to deploy and operate a high efficiency enterprise AI environment. By combining NVIDIA accelerated computing, networking, and AI software with HPE infrastructure, cloud operations, services, and support, the joint soluti

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ge, it's the first AI to reach superhuman performance in the board game. In an official 20-game series, Ataraxos beat Dutch player Pim Niemeijer with 15 wins, one loss, and four draws. Niemeijer is considered the most decorated player in the game's history. He has won four world championships, 15 Dutch national titles, and two online world championships, and he spent more than 600 weeks at the top of the world rankings. George Franka, the only player who has competed in every world championship

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pecific pooled investment vehicles — which should be read in their entirety, and only to those who, among other requirements, meet certain qualifications under federal securities laws. Such investors, defined as accredited investors and qualified purchasers, are generally deemed capable of evaluating the merits and risks of prospective investments and financial matters. There can be no assurances that a16z’s investment objectives will be achieved or investment strategies will be successful. Any

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development, and the President indicated that he felt there would be no “second place” in AI development. Regarding safety, Vice President J.D. Vance said that there are already laws from the FTC and similar agencies requiring companies to develop products with user safety in mind, and that government regulation would hinder progress. Zach: What was it like watching the big names share a stage? How did they seem to get along? Nick: I was in the room with Elon Musk, Jensen Huang, and (Anthropic

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ker supercomputer. Image credits: University of Manchester . What can we learn from the brain about building better computers? Oliver Rhodes discusses how neuromorphic computing draws on the brain’s architecture to develop new approaches to more efficient information processing. Can you give me an overview of your background and the research that you’re involved with? Neuromorphic computing is quite a broad subject, which essentially looks to biology as inspiration to develop next-generation com

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ion. At a Sichuan restaurant, a foreign diner is stumped by a Chinese-only menu. SeedRealtime identifies the dishes straight from the scene, recommends them in English, and even draws on cultural background to explain "why there is no fish in fish-fragrant pork (yuxiang rousi)" and "how century eggs are made." As the server sets down a dish and casually says it "goes great with rice," the model understands the line in the context of the dish on screen and translates it for the guest. Visual info

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rcles Consort Yu in a medium shot from @Image 1, following her water sleeves through the arc. She raises her arm, flicks her wrist, unfurls the sleeves, and half-turns. She then draws the sleeves back, holds the pose, and looks sideways toward the Overlord. 11–20s: The male warrior from @Image 3 enters with an aerial flip. The Overlord takes center stage while the warrior advances and retreats on the opposite side in a combat exchange. Consort Yu stands slightly behind and to the side of the Ove

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Over the past few years, pretraining scaling laws have led to a broad consensus: model capabilities improve in a relatively predictable way as data and compute scale. But once large models enter real-world settings, a more practical question comes into focus: can they continue learning through sustained interaction with their environments and keep improving over time? We recently released EdgeBench, an ultra-long-horizon benchmark built to measure learning from real-world environments . The benc

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s is essential for building high-quality large models. It enables disciplined architecture search, efficient hyperparameter tuning, and, critically, the ability to derive scaling laws that guide decisions for large scale training. Cerebras infrastructure makes it easy to switch between different model and cluster sizes, dramatically simplifying this critical phase. Following this approach and to ensure the most efficient model architecture and training recipe, the team ran a comprehensive suite

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d JSON describing any visible damage, its location, and the model’s confidence in its assessment. From there, it deduplicates repeat sightings of the same scratch across frames, draws boxes on the clearest evidence frames, and assembles a damage report that can be reviewed or passed into the next step. All done within the time that you can blink. Because the original video was recorded at 60fps, we sampled one frame every two seconds as the camera moved around the SUV. That produced 17 frames fr

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e models and/or providers, enabling quick movement between them for different purposes like using a small model for simple classification and a large model for complex reasoning. (AWS Marketplace, LiteLLM, OpenRouter, Portkey, TrueFoundry). No-code / low-code platforms. Visual tools for building AI applications without extensive custom code (Dataiku, DataRobot, Dify, Flowise, FlutterFlow, StackAI). These tools are particularly useful if drag-and-drop AI application development is preferred. Obse

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uring training? How should reasoning models allocate tokens at inference? When do smaller models beat bigger ones? The work spans pretraining to inference—new findings on scaling laws, training efficiency, and smarter orchestration of test-time compute. Below is an overview of each paper, what we found, and who should care. Links to the full arXiv papers are included. If you're at the conference, stop by our booth and take a selfie with the wafer. If you're not, we'd still love to hear your thou

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ion的SWE-1.5和SWE-grep系列实现了前沿级编码性能，速度最高可达通用模型的13倍。开发者第一次能够在探索代码库、交付功能和调试复杂系统时保持心流状态。NinjaTech AI推出了Fast Deep Coder，将软件创建速度提升了五到十倍。在Cerebras的驱动下，Rox的收入代理团队报告称，随着响应达到“即时”水平，每日参与度有所提高。与AWS Marketplace、IBM watsonx、Vercel和OpenRouter的新合作持续为所有AI构建者开辟更快的路径。 我们的基础设施大幅扩展，以跟上这一需求。我们在俄克拉荷马州启用了一个40+ exaflop的数据中心，并在北美和欧洲布局了超过7个数据中心。9月，我们还完成了G轮融资，为公司引入了新的长期合作伙伴，并为下一阶段的增长夯实了基础。 我们继续践行对主权AI的承诺，推出了Cerebras for Nations，并与MBZUAI和Inception共同发布了JAIS2。年末，我们与美国能源部的Genesis Mission达成了新的承诺，并有幸获得台积电的年度演示奖。 综合来看，去年发生的一切讲述了一个简

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existing experience. The problem turned out to be the content, not the model. We cover the intuition behind bandits, our extension to optimize an entire conversion funnel, and the AWS architecture behind the solution. We also share a code repository that you can use to test this approach on synthetic data and understand the method hands-on using Amazon SageMaker AI. Growing role of multi-armed bandits in the generative AI era A multi-armed bandit (MAB) is a reinforcement learning method built fo

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are bringing cables directly to specific data centers rather than terminating them at standalone landing stations. Assured is also a strategic partner to the landing operator for AWS’s Sta’O’Nuk cable. “Digital Realty sees cable landing infrastructure as an increasingly important part of the broader connectivity ecosystem,” said Craig Waldrop, vice president of strategy and business development at Digital Realty, in an interview with Data Center Knowledge. “Subsea cables provide international c

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hy said CoreWeave’s announcements show the company is trying to further separate itself from specialized AI cloud providers such as Nebius, Lambda, and Vultr, while competing with AWS, Google Cloud, and Microsoft Azure for AI workloads. “CoreWeave has recognized that it’s great to get these big AI labs, but if they’re going to build a long-term sustainable business, then they need to be able to appeal to a wider audience, including enterprises,” McCarthy said. “That requires a bigger ecosystem o

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。BTCONJP 2026［PR］; Deno開発元がCloudflareに合流。Denoの開発は終了へ、今後はCloudflare WorkersとDurable Objectsのオープンソース実装に注力; さくらインターネット、GPU専有によりトークン消費量を気にせず定額で利用できる「さくらのAI Engineプライベートエディション」提供開始を発表; AWS、DuckDBをAurora PostgreSQLに統合。ETL不要で直接データレイクを読み取り可能にしたと発表; マイクロソフト、VS CodeにAIモデルのオーケストレーションで高品質低コストなAIを実現する「HydraFusion」をプレビュー実装; FDE（フォワードデプロイドエンジニアリング）によって開発されたAIエージェントの7割は使われず、FDEの名前で単なるコンサルティングが販売されるようになる危険が高まるとガートナーが予測; Cloudflare ContainersがAIエージェント向けに刷新。起動が6倍速、ファイルシステムのスナップショット機能など; Google、サンドボックス型コンテナランタイムの「g

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