All AI news

AIIQAX has surpassed one million electronic Bills of Lading (eBLs), built on the GSBN blockchain and supporting DCSA, BIMCO, and ISO standards. The company is combining AI, IoT, and digital twins to move supply chain management from visibility toward predicting risks, with its AI-powered IoT platform covering more than 200 regions and 11,000 city pairs and about 92,000 connected devices.

AIA research-agent design has GPT-6 orchestrating while MiniCPM5-2B runs locally on DGX Spark to read sources and extract traceable evidence. The post presents this as an example of pairing frontier reasoning with compact, efficient models for transparent research workflows.

AIA community developer integrated the Jev method into MiniMax H3 to sparsify attention, deciding per layer which parts to keep. On an RTX 4070, video generation time dropped from 6 min 7 sec to 3 min 34 sec, a 41.7% reduction. The post notes that Jev selected sparsity rates of 1%, 3%, 5%, and 10% across 49 layers in 4-step generation.

AIMatei Zaharia, a prominent AI researcher, said it is very cool that GEPA works on Jev. The post is a short endorsement, linking to background about a test in which GEPA optimized Jev's prompts for extracting suspected adverse drug effects from medical sentences.

AIOpenMed reports that MiniCPM5-2B, run on a local Mac, correctly kept naproxen in medication history rather than the current-medication export after a newer note said it was stopped. Every graph connection in the run links back to its source, using fictional clinical notes.

AISGLang-Diffusion now serves Qwen-Image-2.1 for text-to-image generation, multi-image editing, and transparent RGBA output. The quoted SGLang post reports 1024×1024 generation in 18.7s and editing in 21.7s on a single RTX 4090 24GB with CPU offload, using 22.7 GiB peak GPU memory, with no quantization.

AIQwen-Image-2.1 is now available as a live Hugging Face Spaces demo, letting users try image generation and editing in the browser without setup. The demo runs on a single checkpoint that handles both tasks. Background notes describe a 7B-parameter model supporting up to 10 image references, with integration into diffusers and ComfyUI.

AIQwen-Image-2.1 is now supported in ComfyUI, and Qwen invites users to try it and share their creations. ComfyUI describes it as an open-weights 7B checkpoint that handles both generation and editing, with native 2K image generation and instruction editing from up to 10 reference images in one pass.

AIQwen-Image-2.1 from Alibaba's Qwen has day-0 support in vLLM-Omni, enabling one model to generate, edit, and create transparent images. The model pairs a 7.1B DiT with Qwen3-VL-8B. Setup details and supported combinations are available in the vLLM recipes page.

AIModelScope has added inference and training support for Qwen-Image-2.1 on its Civision platform. The feature is currently available on the CN site, with international support promised as coming soon.

AIA developer's Augury plant identification model, built on an OpenBMB model, raised photo top-1 accuracy from 71.8% to 80.2% by merging duplicate species keys and adding PCA whitening. The next steps are reaching 90%+ accuracy and building a phone GUI so farmers can use it on-device.

AIThe main post suggests ChatGPT Atlas, an AI browser, is being revived within the Codex and ChatGPT app. It also speculates that Codex or Claude Code built-in browsers could one day serve as full everyday browsers.

AIThe Splash engine, posted by LM Studio, is now available as open source on GitHub. The post provides only a link to the incoai/splash repository and includes no further technical details.

AILM Studio announced that Qwen3.8-27B runs at up to 144 tokens per second on an M5 Max MacBook Pro through its partnership with Inco Splash. The post claims up to 3× the decode speed of Ollama, 2× oMLX, and almost 4× when an agent fans out into sub-agents. Inco Splash is described as an open-source inference engine built for the model and Apple silicon, available through the linked LM Studio blog.

AIChatGPT now supports connecting multiple accounts to most plugins, so users can bring work and personal context into one conversation. Connections are made in the plugin directory at Developers need no changes, though adding a profile tool to their MCP server lets ChatGPT label each account.

AIGoogle's weekly recap covers Gemini 3.8 Live and 3.8 Live Extended Thinking, described as its most advanced live dialogue audio models yet. It also notes Dreambeans, a GoogleLabs experiment curating daily personalized stories, is now generally available, and that CC has expanded into a shared agent for household coordination. Google Pics, a Workspace tool for generating and co-creating images, is now GA, alongside AlphaGenome Atlas, DeepMind's interactive genomics discovery platform.

AIxAI has made Transcribe 2.0 available today in the Grok Voice API. Pricing is $0.10 per hour for batch transcription and $0.20 per hour for streaming. The linked blog post contains further details.

AIMiniMax has opened its Code CLI, making it available on GitHub at The post provides only the repository link and offers no further details on features or availability terms.

AIHuawei unveiled the Atlas 960E superpod, which links up to 4,096 NPUs using near-packaged optics (NPO) and claims eight exaflops at FP8 precision and up to one petabyte of high-bandwidth memory. Its Hi-ONE engine provides 7.2 terabits per second of transmission capacity, and Huawei says 5,500 engines replace 48,000 conventional 800G optical modules, cutting power consumption by more than 550 kilowatts. Huawei has proposed its NPO implementation agreement to the Optical Internetworking Forum, though it has not yet become a standard.

AIInferact, with Red Hat AI, NVIDIA, and Huawei, co-led an optimization effort that makes Kimi K3 on vLLM 2.2–2.8× faster. The work spans scheduling, KDA state handling, and custom MoE kernels. The vLLM project's background post cites those throughput gains on a B300 benchmark against v0.27.1 and links a technical deep dive.

AIGoogle is restricting access to its Gemini 2.5 models to users who have actively used them in the past, to keep performance reliable. The models are not deprecated and remain available through the API until further notice. For new projects, Google recommends its latest models, 3.5 Flash-Lite or 3.8 Flash.

AIA global fintech scaled its AI coding agent traffic by running the GLM-5.2 model on Together AI's Dedicated Model Inference, after capacity planning failed to keep pace with unpredictable engineering-hour bursts. The customer gained self-service endpoint provisioning, a metrics API for diagnosing queuing, and live configuration changes that shipped with zero downtime. The setup runs dozens of B200 GPUs at 256K context across multiple replicas.

AIvLLM now supports NVIDIA hardware video decoding through PyNvVideoCodec, moving video decoding off the CPU so multi-GPU video captioning can scale to 8 GPUs. In benchmarks on 8xH100 GPUs, GPU-based decoding provides more than double the throughput of the CPU-based decoder for Qwen/Qwen3-VL-8B-Instruct with 8 single-GPU vLLM replicas. The functionality is included in standard CUDA vLLM releases, and PyNvVideoCodec==2.0.4 is required for custom installations.