#Open source

LangChain fine-tunes on Baseten Loops via LangSmith tracing

LangChain announced the launch of the LangSmith fine-tuning feature at the Interrupt 26 conference in New York today. The feature is based on the open-source CLI smithtune, which reads LangSmith traces to generate supervised fine-tuning datasets and trains them on Baseten Loops, finally deploying them to Baseten's dedicated inference service. The CLI uses the user's Baseten API key, and training and inference costs are charged to the Baseten account.

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.

Liquid AI has released the DSpark Visual Language Model Accelerator LFM2.5-VL-3B.

Liquid AI has released the DSpark Visual Language Model Accelerator LFM2.5-VL-3B, which boosts decoding throughput by 2.66x on GPUs and 3.13x on edge devices through a lightweight drafter model.

OpenHands Enterprise new features: enhanced visibility, governance, and control capabilities.

OpenHands Enterprise's latest version has added organizational-level features such as management credentials, usage, integration, and automation, and updated the interface aligned with Agent Canvas. Administrators can configure organizational key sharing, monitor usage through the 'Your Budget' dashboard, support OAuth authentication to connect to MCP servers, and achieve cross-organizational visibility and management automation.

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.

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.

What is an AI dark factory? Software engineering insights learned from unmanned manufacturing.

AI Dark Factory refers to AI agents autonomously completing software development, with humans only setting goals and constraints. Its core principle originates from unmanned manufacturing, i.e., achieving automation through standardized inputs, deterministic verification, and continuous monitoring, rather than relying on model intelligence improvement. Engineering needs to refactor processes around automation, taking repeatable environments, executable acceptance criteria, and execution records as the foundation. Currently, it is mainly applicable to boundary-defined repetitive tasks.

OpenHands: Open-source code review intelligent agent platform and automated workflow

OpenHands as an open-source code review intelligent agent platform integrates review, fix, and validation workflows, supporting on-premise, hosted cloud, or self-hosted deployment, offering a free open-source version and paid enterprise solutions; compared to other tools, it achieves end-to-end automation across repositories through agent technology, combining static analysis and AI reasoning to improve review quality, with flexible deployment and strict data control.

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.

How to Self-Host AI Models: Complete Setup Guide

Self-hosted AI models allow organizations to directly control the reasoning runtime environment, deployed model weights, and service operation methods, suitable for scenarios involving sensitive data, pursuing cost-effectiveness under continuous utilization, model customization, and controlling the model lifecycle. By deploying open-source weight model checkpoints on local workstations, private servers, or controlled cloud infrastructure, and using reasoning runtime service models such as vLLM, Ollama, or llama.cpp, applications can call self-hosted endpoints just like calling managed model APIs.

Anthropic releases Claude Opus 5.5 model

Anthropic released Claude Opus 5.5, a model that performs at the level of Claude Fable 5.1, with running costs 40% lower than Opus 5.

Xiaomi MiMo released the open-source model MiMo-V2.6-Distill-Qwen-9B

Xiaomi MiMo released the 9B parameter intelligent agent model MiMo-V2.6-Distill-Qwen-9B, which covers coding, general intelligent agent tasks, visual encoding, and cybersecurity fields by supervised fine-tuning of Qwen3.5-9B on data generated by MiMo.

RetroChimera released: A new framework for molecular retro-synthetic prediction reported in the Nature journal.

RetroChimera was published in Nature, combining R-SMILES 2 and NeuralLoc models for reverse synthesis prediction. The framework, through a learning-based ensemble strategy ranking, outperformed existing models in blind tests and was more recognized by experts for its complex molecular disassembly suggestions. The model is open-source, aiming to accelerate the development of new pharmaceutical molecules and advanced materials.

What is model-agnostic in AI? A practical guide

Model-agnostic AI reduces direct dependency of applications and workflows on a single model, handling differences in authentication, request formats, model identifiers, etc. between different providers through an abstraction layer. OpenHands's model evaluation shows no single best model, its workflow supports use of different models for planning, implementation, debugging, and review, making model selection a continuous workload decision rather than a one-time vendor choice.

Qwen/Qwen-Image-2.1-PE-I2I released: Open-source 7B parameter text-to-image generation and editing model

Qwen/Qwen-Image-2.1-PE-I2I released, a 7B parameter unified text-to-image generation and editing model, featuring a 32-layer single-stream DiT architecture, supporting the generation of regular or transparent images, editing transparent layers, extracting photo subjects, and capable of editing with 10 reference images.

Qwen/Qwen-Image-2.1-PE-T2I release: Open source 7B parameter text-to-image generation and editing model

Qwen/Qwen-Image-2.1-PE-T2I released, a 7B parameter unified text-to-image generation and editing model, featuring a 32-layer single-stream DiT architecture, supporting generation of regular or transparent images, editing transparent layers, extracting photo subjects, and enabling local editing through circular, doodle annotations, or independent masks. Its text-to-image prompt rewriting model Qwen3.5-VL 9B can convert multilingual requests into detailed English prompts and recommend aspect ratios.

What difficulties should be recorded that are not model errors?

Any factors that make the product impractical should be recorded, including missing or damaged features unrelated to the model. Prioritize addressing issues rather than analyzing the causes of errors. For example, if customer service does not provide an order tracking link, it should be recorded even if the AI does not have this functionality. Identifying and prioritizing issues is the foundation of building evaluations, and some issues may be engineering or design flaws. Focusing on problems rather than root cause analysis helps write higher-quality annotations when viewing more data.

Mistral is partnering with Mozilla to bring open-source, private, and multilingual AI to your web browser.

The Mistral model is now powering Mozilla's AI browsing assistant, Firefox Smart Window (beta), to help users handle complex searches, remember important information, and get information based on browser tabs. It currently serves users in France and North America, with the UK and Germany expected to join later this year.

Baseten Labs releases Safety Infrastructure for Open Models paper

Baseten Labs releases Safety Infrastructure for Open Models paper, proposing to build a safety assessment and monitoring infrastructure for open models using Goodfire and Hugging Face.

Cognition partners with AWS to help businesses deliver products faster

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.

OpenAI Agents SDK v0.22.2 released

OpenAI Agents SDK v0.22.2 released, adds support for current image generation tool options, fixes file API symbolic link race condition in sandbox module and compressed response chain reset issue in sessions module, and updates behavior documentation for v0.22.1.

AlphaGenome Atlas: Predictive map of every possible single-letter change in the human genome

Google DeepMind releases AlphaGenome Atlas platform, containing predictions of 9 billion single nucleotide variations in the human genome, providing a free website access for academic research

Add automatic reminder function to Calendly using Dify Agent

Users create an Agent on the Dify platform to connect Calendly and Gmail tools, achieving the function of automatically sending daily meeting reminder emails. The Agent uses Calendly MCP to obtain meeting schedules and participant information, and refers to preset email templates to send reminders through Gmail without modifying Calendly itself. This solution is suitable for SaaS products that only need to supplement a single workflow function.

Google has released the GNM-v3 3D human head model.

Google has released the GNM-v3 3D human head model, providing a parametric model with fine control over facial identity, expression, and posture, including controllable internal anatomical structures. The model supports NumPy, JAX, PyTorch, and TensorFlow, and is licensed under Apache 2.0.