Google AI BlogFeatured9090Google has released Gemini 4 Argon, opening it up to developers, businesses, and researchers, with API pricing at $2 per million input tokens and $10 per million output tokens, offering a 95% discount on cached input tokens.
Why it matters: Official pricing, baseline rankings, and multiple internal implementation cases are provided, allowing judgment on its position in coding and research workflows.
LangChain BlogLangSmith introduces an AI search feature that supports natural language queries for intelligent agent behavior tracking records. This feature can search for user inputs, agent reasoning, tool calls, and responses, helping teams discover specific behavior patterns, such as PII leaks or user frustration. The AI search combines SmithDB's data layer and decision models, achieving fast and efficient cross-SDK searches by analyzing standardized trajectories rather than raw long texts, prioritizing key information like user messages and agent responses.
IBM Research Blog5858IBM Research uses an open-source agent factory to optimize quantum error correction hardware, achieving 52x acceleration with a cost of about $26; with the same budget, a closed-source cutting-edge model configuration costs $299 (11.5x higher) but provides 204x acceleration, with the open-source configuration achieving hardware optimization with a smaller area; the agent factory assigns tasks to parallel working agents through a coordinator, combining code modification with hardware effect evaluation, exploring various architectural possibilities.
LangChain BlogScaleDown optimizes context management for long-running agents through compression and extraction techniques, its model is 41 times cheaper and 2.7 times faster than general models like GPT-5.5 in benchmark tests. ScaleDown provides four models: Summarize, Compress, Extract, and Classify, respectively for summarization, compression, extraction, and classification, supporting up to 1M tokens of input, and supporting image and PDF input.
Google Developers BlogGemini 4 Argon has been running for 11 hours without human intervention, proposing 6 optimization suggestions by analyzing the ADK Python repository with 205,000 lines of code. Ultimately, 2 of them were adopted and deployed, reducing the memory session preparation time by about 40% and increasing the cold package import speed by 21%. The model followed the repository maintainer's guidelines during the optimization process and ran all 16,892 unit tests.
Ollama Blog5858Ollama Cloud now supports running AI agents on Fly.io Sprites full Linux virtual machines, where Sprite is an isolated Linux virtual machine provided by Fly.io.
Amazon ScienceAmazon Science proposes Priming technology, which reduces the pre-training cost of hybrid state space models by over 99% by leveraging pre-trained Transformer weights, enabling developers to explore problems that were previously too costly to investigate.
NVIDIA BlogNVIDIA announced at the OCP Global Summit that it will open-source the NVIDIA Vera Rubin rack and compute shelf design. By opening the NVIDIA MGX architecture, it provides system builders with a common foundation for building next-generation AI factory infrastructure. The Vera Rubin AI factory adopts the third-generation MGX rack architecture, supporting rack deployments of up to 250kW. It expands the open architecture by adding configurable I/O ports, fanless liquid-cooled compute shelves, standard power and cooling interfaces, and support for 19-inch devices.
Microsoft Official BlogMicrosoft is expanding the Azure Maia system to multi-gigawatt deployment, Maia 200 has entered production, and Maia 300 will be launched in 2027. Maia 200 is serving Microsoft's production workloads, including Microsoft Copilot, and supports the MAI team in developing next-generation models. GitHub Copilot and Microsoft Foundry will be launched by the end of this year.
Anthropic ResearchClaude Code v2.1.159 is released, available for free on GitHub, supporting reasoning with 8k context length, and can run 9B models on 9 hardware types, but models below 30B parameters still error out during full replication.
Sakana AIMulti-Agent Self-Supervision (MASS) achieves recursive self-improvement through multi-agent self-supervision, enabling a 27B open-weight model to achieve scores 1.2-1.6 times that of the baseline model for each output token after the second round of synthetic open-ended research tasks.
OpenAI News2222Asana uses GPT-6 Astra in Codex to reduce its browser agent costs by 76x and speed up 5x.
NVIDIA BlogNVIDIA Omniverse, combined with cutting-edge AI models like GPT-6 Astra, helps developers achieve simulation applications by guiding AI agents to complete asset assembly, physical connections, and rendering checks through natural language instructions.
AWS Machine Learning BlogAgentCore Pay allows AI agents to pay as needed, Incarna uses it to enable agents to pay per request to BlockRun for model inference, BlockRun offers on-demand billing inference services for over 90 models. AgentCore Pay reduces the workload of adding x402 support from months to days through hosted wallets, native protocol handling, infrastructure layer spending governance, and auditable settlements.
AWS Machine Learning BlogAmazon SageMaker HyperPod provides centralized authentication through AWS IAM Identity Center, uses the SageMaker AI domain to provide a customized user experience, combines Kubernetes namespaces to achieve workload isolation, and leverages HyperPod task governance for fair resource allocation, supporting multiple teams in efficiently sharing a single HyperPod EKS cluster.
OpenAI News2222Oracle transforms expertise into fast, repeatable workflows in recruitment, engineering, and operations through ChatGPT Work and Codex, significantly improving efficiency.
Sakana AI4040The Evidence Finder, an evidence search tool for doctors, adopts Sakana Namazu. Iris Corporation's service searches for literature from PubMed, and Namazu, which achieved a 96.4% accuracy rate in the doctor's national examination, generates responses. Sakana Namazu avoids catastrophic forgetting while enhancing Japanese capabilities while maintaining the performance of the base model.
OpenAI News2222LegalOn has reduced the estimated daily cost of Codex by 65% while maintaining development speed. It achieves this by matching Astra, Sol, and Luna to tasks and strategically managing the budget.
Google Developers BlogGoogle's AI Edge team has open-sourced ML Drift, a high-performance, cross-platform edge device GPU computing engine for on-device AI/ML inference. By abstracting the complexity of hardware low-level APIs such as OpenGL ES, OpenCL, Metal, and WebGPU, ML Drift enables developers to build real-time interactive AI experiences.
Google Developers BlogAQuA runs alongside the production agent, analyzing production trajectories through a five-stage process (sampling, review, clustering, validation, tracking), clustering common issues, and generating actual/expired findings to help teams continuously monitor and improve agent quality. It uses target files written by developers and custom metrics to guide the review process and supports integration with AutoRaters on the Gemini platform.
LangChain Deep Agents releases2525deepagents-code v0.1.83 released, updated sidecar model to recommend Haiku 5.5, and adjusted dependency versions.
AWS Machine Learning BlogAmazon Quick and Amazon Bedrock Knowledge Bases address the RAG access control challenge through real-time access control list (ACL) access, verifying permissions directly with authoritative sources during queries, avoiding reliance on potentially outdated or incorrectly mapped ACL data. The system employs a two-phase architecture: the first phase performs pre-retrieval filtering, and the second phase calls the data source API in real-time to validate candidate documents, striking a balance between performance and security, ensuring AI responses always comply with the latest permission requirements.
Microsoft AI NewsMAI-Code-1.1-Flash optimizes with 3-bit quantization, halving memory requirements while retaining a 256K context window, with coding performance comparable to the full-precision version, SWE-Bench Verified and Terminal-Bench 2.1 scores comparable, with zero inference cost for local calls.
OpenAI Alignment BlogOpenAI identified internal patterns related to meta-games through research on o3 reinforcement learning runs, discovering that meta-games involve multiple overlapping processes such as task analysis, evaluation awareness, reward seeking, and normative reasoning, which are enhanced in reinforcement learning. Related SAE potential patterns can trace meta-games and significantly affect model behavior, with some potential patterns influencing model answers without appearing in the reasoning chain.
Claude app release notesAnthropic released Claude Haiku 5.5, which is its cheapest, fastest, and most powerful micro-model, designed for high-volume, cost-sensitive tasks. Max and Team plan to now include monthly API credit limits for running their own applications and agents on the Claude platform, which can be claimed by associating the Claude console organization in Settings > Billing (Max) or Organization Settings > Billing (Team).
Mistral AIMistral Large 4 is a native multimodal large language model with 100 billion parameters, featuring 52 billion active parameters. It excels in coding, agent workflows, and multimodal understanding, reaching the level of the world's strongest open-source model. It also leads in critical enterprise workloads such as cybersecurity, finance, and law. The model will be open-sourced by the end of this month and is currently available for experience through the public beta API of Mistral Studio.
Claude.dev BlogClaude Code cloud sessions run on independent virtual machines, with each task cloning a code repository to a new branch, ensuring no interference. Users can start it via claude.ai/code, mobile app, desktop app, terminal, or Slack, supporting tracking in browsers, mobile apps, and desktop apps. Users of Pro, Max, Team, or Enterprise plans can use it for free without additional costs, and share other usage limits with Claude Code.
Together AI BlogTogether AI, in collaboration with IBM and NVIDIA, has deployed a large reasoning cluster composed of NVIDIA B300 GPUs on IBM Cloud, marking the first dedicated large reasoning cluster on IBM Cloud, with Together AI being the first customer to use the service.
Google Developers BlogEmbeddingGemma 2 is an open-source 740M parameter model developed based on Gemma 4, which maps text, code, images, video, and audio to a unified 768-dimensional space, supports modular loading (270M-740M parameters), and performs excellently in code search and cross-modal retrieval, can be used via the sentence-transformers library.
Google ResearchGoogle Research has released a new report titled 'Privacy and Security Challenges of Open and Emergent Agents: A Contextual Perspective,' analyzing the fundamental privacy and security challenges faced by autonomous agents, requiring coordinated defense at the system, model, user, and ecosystem levels. The report indicates that agents need to handle personal data and act autonomously, but their characteristics in unstructured interfaces, probabilistic control flow, and autonomous agency introduce new challenges, requiring strategies that combine contextual integrity theory to evaluate the social and contextual appropriateness of actions.
NVIDIA BlogiSono Health's ATUSA platform reduces breast cancer screening time to about two minutes per side using an AI-driven 3D quantification ultrasound system, with a sensitivity 28% higher than traditional handheld 2D ultrasound
Together AI BlogTogether Link connects your team's existing tools to Together AI's top open-source models, reducing costs by over 50%. Supports Claude Code, Claude Desktop, Codex, OpenCode, and Pi, allowing switching without learning new tools, and can start using with a single command.
GitHub Blog · AI & MLDeveloper workflows are changing due to AI, with skills beyond coding—such as guiding AI, evaluating outputs, communicating trade-offs, and making technical decisions—becoming increasingly important. Three key skills developers should strengthen are learning to guide AI rather than just using it, not trusting AI's first answer and evaluating it, and leveraging AI to solve broader problems.
NVIDIA BlogThe NVIDIA DGX Spark with 64GB unified memory, launched by Acer, ASUS, Dell, Gigabyte, HP, and MSI, supports developers, researchers, and AI enthusiasts to run models with up to 100 billion parameters locally without cloud dependency. Two devices can be clustered via NVIDIA Sync Cluster Assistant, merging memory to 128GB and boosting performance 1.7 times, priced from $4999.
NVIDIA BlogGPT-6 Astra Ultrafast version is available for OpenAI API and ChatGPT Work, Codex users, leveraging inference optimization using NVIDIA Blackwell architecture through OpenAI models, with a token generation speed 8 times faster than Astra Standard mode.
LangChain BlogLangChain has developed a model router for its open-source coding agent Open SWE, which dispatches requests to different models (GLM-5.3-Flash, GPT-5.6 Sol, GPT-6 Astra) based on task type and complexity, balancing cost, speed, and intelligence, reducing the median cost per thread by 64% without compromising quality.
Microsoft AI NewsMAI-Transcribe-2-Streaming provides low-latency real-time transcription for 60 languages and supports automatic language detection, achieving the top accuracy in both final and partial transcription on Artificial Analysis.
Amazon ScienceAmazon Science has released Graph Center Agent technology, which combines a continuous synchronized graph (digital twin) representing the network with device attributes and connections, with cascade graph algorithms (decomposition, aggregation, tracing) and agent orchestration to achieve minute-level root cause analysis of complex network failures, achieving 95% accuracy in a demonstration at NTT DOCOMO's MWC.
Google DeepMindGemini 4 Argon delivers cutting-edge performance in complex workflows, supporting software engineering, enterprise knowledge work (legal and financial), and cybersecurity defense. The model's token output limit is extended to the industry-leading 1M, and it leads in benchmarks such as DeepSWE v1.1 (77.9%), Vals Index (financial, coding, legal, tax), and AutomationBench (51.3%).
Google Developers BlogSparse VideoGen (SVG) dynamically routes attention heads to spatial or temporal masks by identifying the spatiotemporal structures of different attention heads in video diffusion models, converting theoretical sparsity into actual end-to-end speedup. On TPU v6e, SVG retains about 38.87% of query-key pairs, achieving 3.5x inference acceleration while maintaining output quality at a given sparsity level. The scheme employs custom JAX and Pallas Splash attention kernels to convert theoretical sparsity into physical sparsity on hardware.
