OpenAI Deployment SafetyGPT-Live-1.1 and GPT-Live-1.1 Quip are trained on a diverse dataset including public internet information, third-party collaboration data, and user-generated content, employing advanced data filtering processes to reduce personal information and using secure classifiers to prevent harmful content. The performance metric comparison value is based on the latest version data of published models.
Google Developers BlogGoogle has launched the ADK-Recipes repository as a single source of truth for Agent platform content, including core patterns, plugin skills, and services, supporting end-to-end construction of long-term memory agents, one-click installation of retail vertical skills, and deployment to Cloud Run or Gemini Enterprise.
Apple Machine Learning Research3434On ToolBench, Retrieve-then-Plan (RtP) outperforms Plan-then-Retrieve (PtR) in single-tool queries, while PtR performs better in multi-tool queries, this crossover holds true across all retrieval budgets (k=1 to 20), registry sizes (1k to 47k APIs), and model families (Gemini 2.5 Flash and gpt-oss-120b).
Google Developers BlogEvaluating AI agents cannot rely solely on perception checks, as agents may fall into retry loops or produce hallucinatory responses that still appear normal, leading to soaring cloud costs and token usage. A repeatable evaluation process should be established, starting with defining key user journeys (CUJ), using simulated user testing, and employing multiple layers of checks such as unit tests, deterministic metrics, LLMs as judges for scoring standards, and integration tests. Combining manual review tracking with automated validation can detect latent regressions early in development and expand the evaluation framework as agent capabilities grow.
OpenAI News2222Sullivan & Cromwell and OpenAI collaborated to develop the Agreement Analyzer tool, which is used to identify issues in drafted agreements.
Apple Machine Learning ResearchOn a cluster of four Mac Studio machines, Muse Spark Open (816B parameters) generates at a speed of over 36 tokens/second. The Mac Studio M5 Ultra version offers 4.6x faster inference speed (TTFT) and 1.6x faster tokens/second compared to the M3 Ultra, benefiting from the GPU neural accelerator and 1.2 TB/s memory bandwidth.
Google Developers BlogGoogle OAuth Platform Launches DPoP Support, Encrypting Refresh Tokens and Client Key Pairs at the Application Layer to Prevent Token Theft and Replay Attacks. This scheme uses DPoP only for constrained long-lived refresh tokens, ensuring they cannot be replayed even if stolen, while short-lived access tokens remain standard Bearer tokens to maintain high performance. DPoP works with DBSC to defend against API and web session credential theft, but note the key sharing challenges in multi-agent workflows.
LangChain Deep Agents releases1717deepagents-code v0.1.85 released, fixing a bug that suppressed ownership warnings during root installation and improving performance by avoiding resetting transcription history upon message insertion.
Claude · YouTubeClaude Code's cloud chat runs on cloud virtual machines, supporting offline continuity, mobile initiation, and parallel processing. It is suitable for Pro, Max, Team plans, as well as enterprise advanced or Chat + Claude Code seat users, and is counted towards plan limits with no additional computational costs.
Mistral AI · Hugging Face new modelsMistral AI releases Timestral-123M time series base model, with 123M parameters, using a patch-based Transformer architecture, context length of 32,768 time steps, single prediction covers 1,024 time steps, outputs 21 quantiles. The model achieves optimal accuracy in zero-shot prediction on GIFT-Eval, TIME, and fev-bench evaluations, and is licensed under the Modified MIT License.
Mistral AI · Hugging Face new models
LangChain BlogLangChain Deep Agents manage context windows through middleware, preventing unnecessary information from entering and filtering existing content. It employs techniques such as offloading (saving large tool results and user messages to files), summarization (compressing old messages), skills (loading on demand), sub-agents (separating noisy tasks), and long-term memory (preserving learning across sessions). These techniques are implemented by inserting middleware at critical points like model calls and tool calls, allowing users to use them without writing code.
Google ResearchGoogle has launched the Geospatial Reasoning intelligent agent, integrating Earth AI base models (including WeatherNext, PDFM, etc.) and data sources like Google Maps, handling planetary-scale geographical data through modular skills and planning capabilities.
Google ResearchGoogle has launched the Deep Review intelligent document verification system, providing rigorous feedback and technical validation for complex documents, supporting PDF and plain text input, offering 2 free reviews per week, and integrating advanced API, collaborating with 4 top computer conferences such as STOC 2026 and ICML 2026, processing over 16,000 pre-submission feedbacks for papers.
Google ResearchGoogle Research has announced 10 new achievements, including Google Earth AI (integrating 70 geospatial tools, including RSFM and PDFM base models, supporting public health threat prediction, etc.).
Anthropic NewsroomFeatured6060Anthropic announced it has begun providing a team at the nonprofit organization METR with near-employee internal access to evaluate the risks of its frontier models, and METR will publicly release the evaluation results. Anthropic stated it cannot veto METR's release but may request that information in predefined categories be redacted, and said Anthropic ultimately determines which information falls into these categories.
Why it matters: The original text discloses the specific division of the three-tier evaluation access and the boundaries of METR's publication rights, which can be used to compare with third-party evaluation arrangements at other frontier labs.
Sakana AI4444Sakana AI has added a new feature 'My Fish' to Sakana Chat today, visually displaying model memory content. Users can view the conversation information, memory usage frequency, and associated relationships that Sakana Chat relies on for memory, including the number of facts, usage count, and last usage time, etc. This feature supports viewing on both web and mobile devices, and users can choose to turn off the memory function.
Mistral AI · Hugging Face new modelsMistral AI releases Timestral-5M time series base model, the 5M parameter version supports zero-shot prediction, context length up to 32,768 time steps, single forward prediction can cover 1,024 time steps, and outputs 21 quantiles. In GIFT-Eval, TIME, and fev-bench evaluations, Timestral-209M achieves state-of-the-art accuracy for zero-shot prediction, and all Timestral models outperform other models at their parameter scale.
OpenAI News2828SentinelOne reduces malware analysis time from weeks to hours via OpenAI Daybreak, enabling it to investigate more threats.
OpenAI NewsAmp pushes the boundaries of intelligent agent capabilities, using GPT-6 Astra, Ultrafast, GPT-Live-1, and Sign in with ChatGPT.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI released the Ling-3-Flash-UBTree-B16 model, combining a five-layer DFlash backbone and a learned bigram selector, proposing multiple candidate continuations for Ling3-Flash for target model validation, with 482M parameters, achieving 3x+ E2E speed improvement on benchmarks like MMLU, and the UBTree adaptation is not yet open source, with SGLang integration support expected to be released soon.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI/Ming-3.0-asr-tiny combines Ling-tiny-v3 language backbone and audio encoder, supporting single-round Chinese and English speech transcription and recognition of 15 dialects, improves professional term recognition rate through hot words or dialogue context, model parameter size not mentioned, evaluated in noisy speech and 5 application areas, provides PyTorch/Transformers inference examples and MIT license.
OpenAI News4040Block's security team leverages OpenAI technology to increase threat investigation speed to the minute level and quickly propose patches.
OpenAI News4545Third Moment Research runs 10,000 agents for 36+ hours, with its AI lab using GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak models to build agents focused on long-term tasks that improve with use.
NVIDIA BlogMultiple cities in Europe, along with software, infrastructure, and integration partners, are using NVIDIA's accelerated computing to build physical AI agents and digital twin systems to optimize urban operational decisions. These applications can predict maintenance needs, guide urban planning, and enhance public service response capabilities, involving Belgium, Finland, France, Italy, Netherlands, Poland, Sweden, and the UK.
StepFun · Hugging Face new modelsLeapX Stars releases flagship model Step-5-Preview-NVFP4, with 600B total parameters and 27B active parameters, supporting up to 1M context windows, excels in software engineering, professional knowledge work, and financial fields, capable of processing text, images, and video, deployable via OpenAI-compatible API or offline generation.
Google DeepMindGoogle DeepMind partnered with the Singapore government's tech agency, GovTech Singapore, to fine-tune the privacy-preserving device-side fraud detection model Gemma to combat over half of the crime in Singapore (over 4 billion SGD in losses). The model issues real-time warnings by analyzing conversation patterns on the device, and as it runs on the device side, user privacy is not compromised.
LangChain Deep Agents releases3535LangChain Deep Agents 0.7.25 released, supporting reading inline skill tools from model configuration, fixing file system permission rules and interruption approval check issues, and improving sandbox search performance.
Apple Machine Learning Research2727Whisper-small achieved an average F1 score of 0.798 across 14 language pairs in the CS-FLEURS benchmark test, surpassing CNN's 0.776 and HuBERT's linear baseline's 0.751. The method detects language switching directly from speech by identifying the language-selective hidden state dimension in pre-trained speech encoders, and only requires a small amount of code to convert the dataset to fine-tune decision rules.
OpenAI News2222The adoption of AI agents in EU enterprises and small and medium-sized enterprises is growing, deeper use may unlock more value.
Apple Machine Learning Research4040Apple Machine Learning Research has for the first time pre-trained a tri-modal masked diffusion model (MDM) from scratch on text, image-text, and audio-text data, analyzing multi-modal extension patterns.
Google Developers BlogApigee Hybrid Cloud Platform 1.17.0 released, deploying the Model Context Protocol (MCP) data plane in users' own Kubernetes clusters, allowing AI agent tools to call securely managed APIs within the API runtime environment without writing code or building MCP servers.
Google DeepMindGemini 4 Argon demonstrates cutting-edge capabilities in coding, finance, law, and other fields, particularly enhancing cybersecurity defense functions. Its effectiveness has been validated through the Fairwind project and internal testing. The model performs excellently on benchmark tests like MMLU and employs a three-layer real-time protection mechanism (input filtering, internal introspection, continuous monitoring) and automated bias monitoring, significantly reducing the risk of harmful requests and violations. It successfully intercepts over 99% of external biosecurity jailbreak attempts while reducing shortcut behavior in coding tasks to 2%.
Claude · YouTubeClaude Code's cloud sessions run on cloud virtual machines, allowing offline continuous operation, supporting phone startup, and parallel processing. Suitable for scenarios requiring continuous operation or remote collaboration, supporting GitHub connection and environment configuration. This feature is included in the Pro, Max, Team plans, as well as enterprise advanced or Chat + Claude Code seats, counted towards plan limits with no additional compute costs.
GitHub Blog · AI & MLGitHub released a dedicated secret detection model that combines a fine-tuned ModernBERT classifier with regular expressions, reducing false positives by 11.5% while achieving a higher acceptance rate and shortening post-push scan execution time by 86%, with a cost reduction of 98%. The model distinguishes real credentials from similar items by analyzing file paths, variable names, and contextual code, making general secret detection extendable to push protection possible.
LangChain BlogOrange Business has deployed its flagship AI platform Live Intelligence to 120,000 employees and over 150 customers.
Google DeepMindGemini 4 Argon has achieved major breakthroughs in physical understanding, code generation, and visual semantic reasoning, achieving a pure reasoning score of 87% on the Embodied Reasoning (ERQA) benchmark test, surpassing all leading models. Argon can be applied to all stages of the robot's lifecycle, including mobile manipulation practice using MuJoCo, zero-shot robot control, and closed-loop steering of video world models.
Google DeepMindGemini 4 Argon ranked first on the Vals Index, surpassing other cutting-edge models in coding, finance, law, cybersecurity, and science with its 175B parameter size; its reasoning depth and accuracy make it a powerful tool for solving complex engineering problems, optimizing business processes, and accelerating scientific breakthroughs.
