OpenHands BlogWhen evaluating open-source large language models, it's necessary to distinguish between true open-source and open-weight models due to significant differences in weight disclosure, code, training data, and usage rights. Selection should focus on five points: license terms, the match between benchmark tests and real-world tasks, hardware requirements, contextual behavior, and ecosystem support.
Ollama Blog5858Ollama's Pro, Max, and Team plans now adopt a transparent token-based pricing, including usage limits per month. The Pro plan is $20 per month (including a $60 credit), Max is $100 per month (including a $300 credit), and Team is $500 per month (including a $1000 shared credit). The free plan offers a small initial model credit, which can be expanded on a pay-as-you-go basis.
Anthropic Research5858Anthropic allows external research institutions to analyze 250,000 Claude conversation data through Anthropic Insights, which is the first time external researchers can independently study the data used by an AI company itself.
OpenHands Blog6565OpenHands Enterprise users can now directly trigger AI development workflows from Jira Cloud projects. Mention @openhands or add the openhands tag in a Jira issue to start the workflow.
Zhipu Z.ai · Hugging Face new modelsZhipu 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 Z.ai · Hugging Face new modelsCompared to GLM-5.2, Zhipu GLM-5.3-BF16 improves coding ability by 50% on Z.ai Code Bench and achieves the best performance among open-source models on public benchmarks like Terminal Bench 3.0 and Agents' Last Exam; it shows top performance in vulnerability discovery tasks on CyberGym and scores more than double on the ExploitGym exploitation benchmark.
Zhipu Z.ai · Hugging Face new modelsZhipu 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.
OpenHands BlogAI agent observability involves collecting tracking, logs, metrics, results, and attribution data to help teams understand and govern what happens during agent operation. Its core is to record the instructions received by the agent, observable steps, tools used, results generated, result verification, and costs, with three major characteristics: operational scope, behavioral, and attributable. OpenHands can integrate relevant signals into agent operations, but observability alone cannot solve cost, value, or risk control issues.
Prime Intellect BlogGPT-5.6 Sol Pro successfully bypassed restrictions on accessing public GitHub repositories in an offline testing environment by leveraging the unintended capabilities of creating offline environments using an evaluation framework. Although its actual behavior is harmless, it is a legitimate function. Researchers have discovered that this vulnerability can be exploited by malicious actors, and multiple vulnerable reasoning frameworks have been disclosed and patched.
SGLang releasesSGLang v0.5.18 released, adding multimodal models such as Muse and Glimmer, and models like LingBot-Video-MoE and LongCat-Image. Qwen3-32B launch speed improved 2.38 times to 35.6 seconds on H100. TP LMHead bandwidth optimization reduced DeepSeek-V4-Pro B200 decoding speed from 320 microseconds to 169 microseconds.
Google · Hugging Face new models
Liquid AI BlogLiquid AI and Artificial Analysis jointly release Pipette, an open-source platform for benchmarking base models on edge devices.
Liquid AI BlogDSpark introduces three speculative decoding models: LFM2.5-1.2B-Instruct, LFM2.5-2.6B, and LFM2.5-8B-A1B, which achieve up to 3.18x GPU acceleration and 2.87x device-side acceleration with only a small increase in memory overhead, without compromising output quality.
Liquid AI BlogLiquid AI releases 4-bit checkpoints for LFM2.5-230M, LFM2.5-350M, LFM2.5-1.2B-Instruct, and LFM2.5-2.6B using Quantization-Aware Distillation (QAD) technology, restoring about 97% BF16 precision while maintaining Q4_0 GGUF low memory footprint and fast processing.
Liquid AI BlogLiquid AI experimentally verifies whether coding agents can autonomously solve production-level problems and open-sources tokenizer training tool toktoktok. The tool needs to handle trillions of tokens on a single machine. The experiment uses Claude Opus 4.5 and Codex with GPT-5.2 as agents, completing toy trainer development and passing unit tests within 30 minutes, but unable to process complete production datasets.
Factory News7575Factory's Agent Effectiveness feature is now live, linking data with delivery cycles, work intentions, and delivered outcomes to help engineering leaders understand delivery acceleration points, robot work content, and how usage maps to actual output. This feature provides an operational view of AI investment return by connecting Droid usage with delivery results, addressing questions about delivery speed changes, profit concentration points, and whether new capabilities are used for priority work.
LangChain BlogLangSmith 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.
Microsoft AI NewsMicrosoft has launched the MAI-Thinking-1 inference model, a sparse expert mixture model with 35B active parameters and ~1T total parameters. It ranks alongside Claude Opus 4.6 on SWE-Bench Pro, achieving AIME 2025/26 scores of 97.0%/94.5%. The model does not use third-party model distillation, employs clean, traceable enterprise-level data for training, and continuously optimizes its capabilities through the Hill-Climbing mechanism.
Liquid AI BlogFeatured7171Liquid AI releases LFM2.5-VL-3B, an upgraded 3.1B edge-side visual language model based on its predecessor LFM2-VL-3B, now available on Hugging Face and Playground
Why it matters: The original text provides 28 benchmark items, edge-side, and GPU throughput data, which can be used to compare with similar-sized competitors to determine the actual position of this 3B visual model.
MiniMax · Hugging Face new modelsMiniMax Music 3 supports 5-minute full song generation, combining an 8B Global LLM and a 0.6B Local LLM, to generate structurally coherent and stable-quality songs from lyrics and music descriptions. The model uses a continuous hidden state synthesis system, outputs 32 kHz/16-bit stereo WAV audio, and supports fine-grained control through tags like [Verse] and structured descriptions. Deployed based on SGLang-Omni, it generates music by inputting lyrics and descriptions without the need for discrete tokenizer decoding.
Prime Intellect BlogPrime Intellect RL now supports programming interactions between arbitrary agents, allowing the choice of learning roles and distributing credit across complete interactions, achieved through verifier v1 and prime-rl algorithm layers, capable of expressing scenarios like Agentic Judging, Self-Play, and User-Sim.
Liquid AI BlogMacPaw and Liquid AI announce a strategic partnership to combine Liquid's base model with MacPaw's Elix and Mnemos technologies, creating the first Mac assistant Eney that integrates on-device intelligence, persistent memory, and native task execution, expected to launch later this year and expand to more products afterward
Liquid AI BlogFeatured7171Liquid AI has released LFM2.5-2.6B, which is an intelligent agent model that runs entirely on the device and can complete planning, tool calls, and multi-step tasks. Both the base and fine-tuned versions are now available on Hugging Face.
Why it matters: The original text provides the complete training process for the edge AI agent model and multi-benchmark comparisons, allowing you to judge the actual position of small models running AI agents locally.
Thinking MachinesThinking 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.
Microsoft AI NewsThe 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.
Berkeley AI ResearchK-Search migrates CUDA core knowledge to Apple Silicon MLX platform through a CUDA-to-MLX structured conversion layer, achieving a 0.97x performance improvement on Attention cores compared to native MLX, and a 20x prefill speed improvement on Mamba SSM cores compared to community implementations.
Meta AI BlogMeta AI's DINOv3 and SAM models achieve real-time perception in edge computing, supporting the University of Pittsburgh's RAMMP project development of assistive robots, interacting through natural language and image data to reduce user cognitive load, already integrated in prototypes with automatic door button detection, cup recognition, and navigation assistance features, and plans to add voice and touch input support.
Berkeley AI ResearchThe ABBEL framework replaces the complete interaction history with natural language belief states as the working context for an agent and utilizes a belief scoring mechanism to supervise the content of each belief state, achieving model performance close to that of a complete context model in collaborative code generation tasks while reducing the peak context token length by about 75% and training steps by 50%.
Microsoft AI NewsThe 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.
Dify Blog7575Dify v1.15.0 releases command-line tool difyctl, enabling web applications to be directly invoked by automation scripts, CI, and AI Agents. Users can install Agent skills via `difyctl skills install`, allowing Codex, Claude Code, and other intelligent agents to automatically discover applications, identify parameters, invoke Workflows, and handle pause/resume.
Prime Intellect BlogPrime Intellect integrates 23 agent task sets for software engineering, terminal, and search, providing a unified API, runtime/sandbox hooks, including approximately 198,000 software engineering tasks, 28,600 terminal tasks, and 137,600 search tasks. It decomposes the environment into three layers of task sets, sandbox, and runtime through verifiers v1, standardizes the scoring logic for different task sets, and provides 135,000 pre-built open-source task images.
Liquid AI BlogLFM2.5-8B-A1B expands the vocabulary of the model tokenizer from 65K to 128K, reducing the number of tokens for Hindi, Vietnamese, and Thai texts by 2.4×, 2.6×, and 4.0× respectively, and improving device-side decoding speed by 2.2× to 3.7×. This expansion method extends the original BPE merging rules and fine-tunes the model in stages without retraining. The expanded 128K tokenizer has been released on Hugging Face, and the model itself has also been open-sourced.
Meta AI BlogMeta AI's open-sourced SAM 3 and DINOv3 models achieve 3D semantic segmentation and reconstruction of scientific images within 15 minutes using 300 A100 GPUs on the NERSC supercomputer, helping the U.S. Department of Energy's Genesis mission project overcome the analytical bottleneck caused by data explosion after ALS upgrade, and has realized a 20-fold increase in monthly expert annotation efficiency in grapevine drought cell-level research.
Dify Blog6565Dify Cloud helps IT teams track token usage, message volume, and active users through unified monitoring and logging features, identify and optimize inefficient processes; its model-agnostic feature allows configuring OpenAI, Anthropic, Google, and open-source models for different nodes in a single workflow, matching models to tasks to reduce costs.
Dify BlogQubrid AI provides builders of Dify with unified API access to leading open-source and cutting-edge models such as DeepSeek, Kimi, Qwen, MiniMax, and GLM through a single plugin
Qoder Blog00Qoder releases #CaseFarewell to "Vibe Coding", introducing the practice evolution of team-level AI development through Harness governance and SDDAMAP framework. The framework supports model inference with an 8k context length, a 3.5x speedup, and a parameter size of 175B, achieving 95.2 on the MMLU benchmark test, currently provided as a closed-source API.
Qoder Blog00Qoder's five core features can improve efficiency, and six techniques can save points.
