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AWS, NVIDIA, and LangChain are hosting an in-person session focused on building flexible infrastructure for developing and scaling agentic AI workloads using Amazon EKS and related technologies.
The author reflects on building an initial version of a system to handle high volume and praises the team for successfully rebuilding customer support around Grok Bot to scale operations without adding headcount.
MiMo 发布了 2.6 flash 版本，并引用了 Tianjun Zhang 关于在 TPUs 上使用 JAX 扩展强化学习的博客文章。
A comprehensive guide to core system design building blocks, including client-server architecture, scaling, and databases, to help with system design problems and interview preparation.
This article analyzes the capabilities and scaling dynamics of large AI agent swarms, citing OpenAI's recent examples, and discusses their potential as a new form of inference scaling.
Peano Labs has scaled reinforcement learning on TPUs for the MiMo model family, enabling full-parameter RL at 310B parameters with Jax, where scaling is primarily a configuration change.
Google's VP of Product Robby Stein will join TechCrunch Disrupt 2026 for a fireside chat on evolving product decision-making from MVP to billions of users.
A solo developer of an open-source AI workflow automation platform discusses scaling to 1,000+ telemetry events and seeks community advice on maintenance, backward compatibility, and observability for growing usage.
The paper demonstrates that test-time communication among AI agents can significantly outperform independent parallel attempts on challenging tasks like ARC-AGI-3, achieving state-of-the-art results in research-oriented domains.
Hugging Face releases tokenizers v1, a major performance update for the tokenization library, with benchmarks showing significant speed improvements over previous versions.
AX is an open agentic orchestrator that enables running AI agent tasks at scale with declarative management, sandboxing, and generative workspaces.
Chinese AI labs are planning to train AI models with 10 to 40 trillion parameters within two years, reflecting ongoing scaling efforts in the AI field.
Figure has discovered a scaling rule for robot pretraining where adding more human behavior data predictably reduces action-prediction loss, similar to LLM scaling principles. Their Helix 2.5 model achieved over sixfold improvement in zero-shot household task success across unseen environments.
LangChain shares a guide on how Schneider Electric, Vodafone, and monday.com are scaling AI agents in production with improved observability, evaluation, and governance.
The tweet provides an update on MiMo-V2.6's reinforcement learning scaling efforts, including compute and environment enhancements, and requests more NVIDIA B300 GPUs for further development.
The PyTorch Conference North America features engineering teams presenting major breakthroughs in torch.compile, custom kernel authoring, and scaling efficiency, with sessions led by experts from various organizations.
@unionalphaai reports experiencing initial issues after their launch and is working on speeding up and scaling their service.
A job posting for a tech lead in observability at Baseten, requiring experience in scaling monitoring systems or GPU monitoring.
The article promotes a session at TechCrunch Disrupt 2026 where leaders discuss scaling AI technologies from prototype to production, addressing real-world challenges in deployment.
An anonymous letter from an ML Engineer at a frontier AI lab warns about the limitations of scaling LLMs, the rise of open-source models threatening proprietary ones, and the unsustainable business models of major AI companies.