#Engineering

Anthropic releases Claude Haiku 5.5, Max and Team plan to receive monthly API credit limits

Anthropic 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).

Google Earth AI's Population Dynamics Foundation Model (PDFM) provides a planetary geospatial foundation model for global public health.

Google Earth AI's Population Dynamics Foundation Model (PDFM) compresses search trends, population flows, building environment density, and environmental factors into location embeddings, enhancing epidemiological research performance in various disease fields and geographical environments without specific task fine-tuning.

Mistral AI has launched the public beta version of Mistral Large 4.

Mistral 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.

Cursor iOS app adds local agent remote control feature.

Cursor iOS app now supports viewing and responding to local agents running on the user's computer, default enabled (excluding enterprise organizations). After downloading the app and logging in, the user's computer account is automatically displayed. Remote management requires pairing and authorization via the desktop app. Remote control only connects to the agent, does not move its running location, and requires the computer to be powered on and connected to the network.

NVIDIA DGX Spark 64GB released, providing developers with more local AI building and expansion solutions

The 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.

How GitHub Copilot uses canvases to build interactive experiences

GitHub Copilot introduces canvases, allowing users to create customizable interfaces to interact with AI, replacing traditional chat interfaces; users can build Connect 4 games and Winget package manager UIs in Copilot using canvases, enabling two-way communication with AI and local code execution, improving efficiency and reducing token consumption.

GitHub Security Lab Taskflow Agent implements automated fuzzing

GitHub Security Lab Taskflow Agent automates the fuzzing process for C/C++ projects using LLM, completing entry point identification, build system analysis, test case generation, AFL++ execution, coverage analysis, and vulnerability report writing without manual intervention. The Agent uses the Claude Sonnet 5 model and manages state via an SQLite database to achieve iterative coverage improvement, doubling the time budget for each iteration until coverage growth stagnates.

Gemini 3.8 Live with Live Avatar released, integrating real-time visual presentation into conversational AI

Gemini 3.8 Live with Live Avatar released, enhancing near real-time visual presentation capabilities for Gemini conversational AI by natively coupling real-time video generation with speech, supporting 97 languages simultaneously, and available in Gemini Enterprise.

How does GitHub Copilot application render large pull requests?

GitHub Copilot application addresses performance issues when rendering large pull requests with extensive comments by highly decomposing the document into two independent domains: deterministic code height and dynamic block effective height. The dynamic block geometry covers unpredictably tall content such as comment threads, drafts, and reply composers, each block identified by its content type rather than location and anchored to files, lines, and sides to ensure no loss during reordering. This design makes comment heights predictable before rendering, avoiding scroll jumps and enhancing rendering performance for large code differences.

Google DeepMind introduces Private AI Compute, achieving cross-device private persistent memory.

Google DeepMind introduces Private AI Compute, a new architecture that achieves cross-device AI persistent memory through cloud-based encrypted storage and device key management, ensuring data privacy. The architecture temporarily decrypts user data in a cloud-isolated environment to process requests and immediately encrypts and stores new contexts, while the device holds the decryption keys. Users can verify the authenticity of server software and audit security protocols, supporting AI in maintaining device-level privacy standards even when processing complex tasks efficiently in the cloud.

Release of Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS: Google DeepMind introduces the latest audio generation models.

Google DeepMind releases Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, supporting the creation of custom character voices from scratch and direct control of scene dialogue.

Cursor introduces Rollouts and Security Review two code deployment safety Bots

Cursor launches Rollouts and Security Review, two code deployment security Bots. Rollouts monitors the deployment process to report environment health status, and Security Review reports exploitable vulnerabilities in each pull request. Both are now available on Teams and Enterprise plans.

Step-5-Preview-BF16 model release by Jieyue Xingchen

Jieyue Xingchen releases flagship model Step-5-Preview-BF16, with 600B total parameters, 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.

Jieyue Xingchen Step-5-Preview model release: Sparse MoE architecture with 600B parameters

Step-5-Preview, the flagship model from Jieyue Xingchen, adopts a sparse MoE architecture with 600B total parameters and 27B active parameters, supporting up to 1M tokens in context, and excels in software engineering, professional knowledge, and financial tasks, demonstrating outstanding performance in the DeepSWE v1.1 benchmark. The model can be deployed via OpenAI-compatible APIs using vLLM or SGLang, or used for offline generation with Transformers.

Google releases EmbeddingGemma 2 multimodal embedding model

Google has released EmbeddingGemma 2, a multimodal embedding model with 740M parameters, supporting unified 768-dimensional vector representations for text, images, video, and audio. The model can run on consumer-grade hardware, providing low-latency semantic representations suitable for applications such as search, retrieval-augmented generation, etc. EmbeddingGemma 2 has performed excellently in multiple benchmark tests, such as text, code, visual document, and audio embedding benchmark tests, and supports vector truncation to reduce storage requirements.

How to build paid media agents with LangChain

LangChain publicly shares its construction method for paid media intelligence agents, which run on Slack, summarize ad platform and warehouse data weekly, and generate reports. Paid media increased from contributing 0 to 20% of the marketing pipeline within 6 months, and the cost per qualified lead decreased by 30% from June to August.

Cloudera collaborates with Mistral to bring dedicated, sovereign intelligence to enterprise data

Cloudera collaborates with Mistral to integrate Mistral models into Cloudera's hybrid data platform, enabling businesses to deploy AI models in private clouds, public clouds, on-premises, and fully isolated environments while maintaining full control; Mistral allows businesses to train AI models with proprietary data in a controlled environment, transforming decades of institutional data into custom AI models while retaining ownership of both data and intelligence.

Cursor launches Projects feature

Cursor launches the Projects feature today, supporting the handling of large workloads such as feature development, migration, or full applications, capable of maintaining context across months and automatically assigning tasks to thousands of sub-intelligent agents. The project runs independently in the cloud, synchronizing codebase knowledge and work preferences through shared files, coordinating agents responsible for planning and task allocation. The feature is currently in Beta and is gradually being rolled out to all users starting today.

Zhipu GLM-5.3-Flash released: The first native multimodal model, 320B parameters only 18B active parameters

Zhipu introduces GLM-5.3-Flash, the first native multimodal GLM-5 series, with 320B total parameters and only 18B active parameters, benchmark tests and real task performance surpass GLM-5.2, priced only one-tenth, coding and agent testing close to Claude Opus 4.8

Zhipu GLM-5.3-Flash released: The first native multimodal model, 320B parameters only 18B active parameters

Zhipu releases GLM-5.3-Flash, the first native multimodal GLM-5 series model with 320B total parameters and 18B active parameters, surpassing GLM-5.2 in benchmark tests and real-world workloads, priced only one-tenth of GLM-5.2, with coding and agent benchmark tests close to Claude Opus 4.8.

LangSmith Bring Your Own Cloud (BYOC) is now officially available on AWS

LangSmith Bring Your Own Cloud (BYOC) is now officially available on AWS, offering businesses a hosted LangSmith deployment that can run in their AWS accounts and VPCs.

Stripe builds corporate AI assistant Kai based on Deep Agents

Thinking Machines has released the open-source Inkling and Inkling-Small language models.

Thinking Machines releases open-source language models Inkling and Inkling-Small, allowing users to own, run, and customize them. To reduce the risk of abuse, models must pass security tests and research whether dangerous capabilities can be decoupled from general intelligence, while also building a layered defense ecosystem. Phased releases, supporting defenders, and collaboration with security researchers will enhance resilience. Internal evaluations and external tests show that releasing Inkling does not introduce significant incremental risks already present in existing open-source models.

LangSmith has launched the public beta version of LLM Gateway, providing runtime control for production agents.

LangSmith LLM Gateway has entered public beta, serving as a centralized governance layer between agents and models, uniformly executing spending limits, rate limiting, model fallback, and sensitive data deidentification. Spending and rate limiting can be set at four levels: organization, workspace, API key, and user. When the limit is hit, the agent receives a 402 response; fallback rules can take effect uniformly across models and hosting providers.

MAI model series release: Next-generation AI system optimizing cost and performance

The MAI-Cyber-1-Flash model achieved a 96% score in the CyberGym evaluation, with a cost of only 50% of the current MDASH best solution, optimized specifically for MDASH actuators.

Hill-climbing MAI model application in GitHub Copilot and Excel

The Hill-climbing MAI model uses 10% fewer tokens in GitHub Copilot, has a 10% higher code acceptance rate than GPT 5.4 Mini, and an 11% higher code acceptance rate than Claude Haiku 4.5, with a 6% and 11% higher user retention rate, respectively.