The Archive

Anthropic launches Claude Partner Network with $100M investment to support enterprise Claude adoption.

Agentic AI systems need models with the specialized depth to solve dense technical problems autonomously. They must excel at reasoning, coding, and long-context... Agentic AI systems need models with the specialized depth to solve dense technical problems autonomously. They must excel at reasoning, coding, and long-context analysis, while remaining efficient enough to run continuously at scale. Multi-agent systems generate up to 15x the tokens of standard chats, re-sending history, tool outputs, and reasoning steps at every turn. Over long tasks… Source

ChatGPT agents defend against prompt injection via action constraints and sensitive data protection in agent workflows.

OpenAI builds agent runtime using Responses API with shell tools and hosted containers for secure, stateful agent execution.

Anthropic launches The Anthropic Institute to address societal challenges from advanced AI systems.

Meta describes MTIA custom silicon strategy: four chip iterations in two years for cost-efficient AI serving.

Rakuten reduces issue resolution time by 50% using Codex for code-based troubleshooting workflows.

Wayfair uses OpenAI models for e-commerce support automation, catalog accuracy, and ticket triage at scale.

Anthropic establishes Sydney as its fourth Asia-Pacific office.

NVIDIA RTX ray tracing and AI-powered neural rendering technologies are redefining how games are made, enabling a new standard for visuals and performance. At... NVIDIA RTX ray tracing and AI-powered neural rendering technologies are redefining how games are made, enabling a new standard for visuals and performance. At GDC 2026, NVIDIA unveiled the latest path tracing innovations elevating visual fidelity, on-device AI models enabling players to interact with their favorite experiences in new ways, and enterprise solutions accelerating game development… Source

Agentic code assistants are moving into daily game development as studios build larger worlds, ship more DLCs, and support distributed teams. These assistants... Agentic code assistants are moving into daily game development as studios build larger worlds, ship more DLCs, and support distributed teams. These assistants can accelerate development by helping with tasks like generating gameplay scaffolding, refactoring repetitive systems, and answering engine-specific questions faster. This post outlines how developers can build reliable AI coding… Source

OpenAI's IH-Challenge training method improves instruction hierarchy and prompt injection resistance in frontier LLMs.

ChatGPT adds interactive visual explanations for math and science education with real-time formula exploration.

Meta and World Resources Institute release Canopy Height Maps v2, open-source forest monitoring model and global dataset.

CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now supported on devices of compute capability 8.X architectures (NVIDIA Ampere and NVIDIA Ada), as... CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now supported on devices of compute capability 8.X architectures (NVIDIA Ampere and NVIDIA Ada), as well as 10.X, 11.X and 12.X architectures (NVIDIA Blackwell). In an upcoming release of the CUDA Toolkit, all GPU architectures starting with Ampere will be fully supported. If you’re using Ampere, Ada, or Blackwell GPU architectures… Source

In the rapidly evolving landscape of large language model (LLM) development, NVIDIA Megatron Core has emerged as the foundational framework for training massive... In the rapidly evolving landscape of large language model (LLM) development, NVIDIA Megatron Core has emerged as the foundational framework for training massive transformer models at scale. The open source library offers industry-leading parallelism and GPU-optimized performance. Now developed GitHub-first in the NVIDIA/Megatron-LM repo, Megatron Core is increasingly shaped by contributions from… Source

Deploying large language models (LLMs) requires large-scale distributed inference, which spreads model computation and request handling across many GPUs and... Deploying large language models (LLMs) requires large-scale distributed inference, which spreads model computation and request handling across many GPUs and nodes to scale to more users while reducing latency. Distributed inference frameworks use techniques such as disaggregated serving, KV cache loading, and wide expert parallelism. In disaggregated serving environments… Source

Deploying and optimizing large language models (LLMs) for high-performance, cost-effective serving can be an overwhelming engineering problem. The ideal... Deploying and optimizing large language models (LLMs) for high-performance, cost-effective serving can be an overwhelming engineering problem. The ideal configuration for any given workload (such as hardware, parallelism, and prefill/decode split) resides in a massive, multi-dimensional search space that is impossible to explore manually or through exhaustive testing. AIConfigurator… Source

Google DeepMind retrospective on AlphaGo's 10-year impact on scientific discovery and trajectory toward AGI.

Import AI 448 discusses AI R&D productivity, ByteDance's CUDA code generation agent, and edge satellite inference.

OpenAI acquires Promptfoo, an AI security platform for identifying and remediating vulnerabilities in AI systems.

Anthropic partners with Mozilla to enhance Firefox security features.

Codex Security, an AI security agent in research preview, detects and patches vulnerabilities with higher confidence and reduced false positives.

Balyasny Asset Management uses OpenAI models and agent workflows to build an AI-driven investment research engine.

Descript uses OpenAI reasoning models to automate multilingual video dubbing at scale while preserving timing and meaning.

Dario Amodei outlines Anthropic's engagement with U.S. Department of War on national security AI applications.