All AI news

AIFunAudioLLM has released Fun-ASR-Nano-2512-vllm, a vLLM-native packaging of the official Fun-ASR-Nano-2512 checkpoint, with weights bitwise equal to the source and no new LoRA weights. The validated path runs on vLLM 0.27.1 with float32 through an OpenAI-compatible transcription endpoint, tested on one NVIDIA H100 80 GB GPU. The source-licensed model is Apache License 2.0, and other vLLM versions, accelerators, and quantizations require separate validation.

AIEntire positions itself as a unified API for code and coding sessions, working across any agent, repo, and session as a coding system of record. The post frames this as a single interface layer for coding work, comparing it to unified-interface products in payments, models, and banking.

AIGoogle's Gemini Notebook, launched yesterday, is pitched as a way to make buying books for AI context frictionless. The post by Josh Woodward responds to @shreyas, who said users increasingly buy books within Claude or ChatGPT to use as context and wants that process simplified in the UI.

AILM Studio says Zhipu's GLM-5.3 is now available in its Bionic agent, hosted in the US with zero data retention. The launch offer is 50% off until Monday. The post builds on Z.ai's announcement that GLM-5.3 is now open-weight for agentic coding and cyber defense.

AISGLang offers day-0 support for GLM-5.3 on NVIDIA Blackwell and Hopper and AMD MI300X, MI325X, and MI355X GPUs, using the same runtime and flags. SGLang is also the rollout engine in Slime, the framework Zhipu used to post-train GLM-5.3, so the runtime that generated the RL trajectories now serves the model.

AIRadixArk has published an experimental NVFP4 checkpoint for Zhipu's GLM-5.3 on Hugging Face, and says Miles support for GLM-5.3 is on the way. The company says GLM-5.2 is already serving hundreds of thousands of people in production with its partners on SGLang. Background from SGLang reports day-0 serving support for GLM-5.3, with 537.6 tok/s/user on NVFP4 and 413 tok/s/user on FP8 at BS=1 with TP8 on 8x B300.

AIOra runs agents on live websites and traces each step, showing teams which step stalled during a signup, integration, or payment. The platform is built on Vercel, and Ora's own agents run on eve.

AILM Studio introduced Auto Review, which auto-approves shell tool requests using AST parsing, command matching, and a reviewer subagent. In the team's internal use, about 82% of commands were approved before reaching LLM review.

AIAnthropic is introducing the Model Hardware Standard (MHS), a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. MHS began as part of a beneficial deployments project with HHMI Janelia Research Campus and is evolving into a wider industry effort. It is now in research preview with select partners.

AIAugment Code introduces Cosmos Advisor, an expert that can answer product questions, configure agents, and deploy automations from a single conversation. The company says a company-specific agent can be set up in about ten minutes, without a handoff to an implementation team. Advisor draws on the current Cosmos knowledgebase and reusable expert designs, such as incident response, and it works within Object-Level Access Control.

AIAnthropic is building the Model Hardware Standard (MHS), a common way for AI models to connect to lab and manufacturing equipment and operate it with safety limits built into each device. MHS started as a collaboration between Anthropic and HHMI Janelia Research Campus and is launching as a research preview with partners across science, robotics, and manufacturing.

Why it matters: The source describes a standard for connecting AI models to lab and manufacturing hardware, which matters for anyone building automated experimentation workflows.

AIGemini Notebook is starting with books as its source type, with plans to soon support third-party subscriptions, business research reports, and textbooks. The post invites users to share which books they discover.

AIalphaXiv is turning research papers from static artifacts into live research that grows and branches, with agents running their own experiments. Tinker says it makes running these experiments easy for both agents and people. Via alphaXiv's background post, its autoresearch tool lets Claude or Codex agents replicate and experiment on any arXiv paper, with agents launching concurrent RL runs through Tinker for post-training.

AIAnthropic and HHMI Janelia Research Campus developed the Model Hardware Standard (MHS), a standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. MHS is now in research preview with select partners, and the video describes how it was developed and how it can accelerate research.

AIReplicate has made Google's Gemini Omni 1.1 available to try through a hosted model page. The post provides only a link to the model on replicate.com, with no specifications, benchmarks, or pricing mentioned.

AIGoogle is rolling out Gemini Omni 1.1 Flash updates in Google Flow, adding start and end frame controls to keep characters and narrative consistent between transitions. Creators can draft at 360p on lower credit cost, then export final clips in 720p, 1080p, or 4K for digital, social, or broadcast workflows.

AIPollen Robotics has unveiled Microduck, a 25 cm open-source biped with 15 actuators and sensors including a camera, speaker, and LiDAR that users can train with reinforcement learning. The robot ships with more than half a dozen pre-trained policies for walking, sitting, roller-skating, and picking up objects with its articulated beak, and costs less than $400.

AINVIDIA's DLSS 4.5 Ray Reconstruction is now available, using a second-generation joint denoiser and super-resolution model. According to the post, it delivers much better image quality at the same compute cost, pushing the trade-off between image quality and rendering cost further.

AICursor Cloud Agents no longer require a connected GitHub or other third-party SCM provider to begin work. Users select "Start from scratch" in the repo picker, and Cursor creates an Origin repo in the background that can be saved as a private or internal repo via "Create repo." Cursor also now port-forwards the cloud agent's live environment to the browser for previews, and a connected Vercel account lets users publish a live URL.

AIReplit has made Intelligent Model Routing available to all users, automatically matching each task with a model based on quality, speed, and cost. In the company's testing, the feature delivered the same output quality at 65% lower cost than the previous version of Max Mode. Enterprise administrators can restrict routing to a company-approved set of models.

AILM Studio announced that Z.ai's GLM-5.3-Flash, previously previewed as Ox Alpha, is available in LM Studio Bionic. The source says the model outperforms GLM-5.2 at 9-10x lower cost, supports image input, and is served from US-based servers with ZDR enabled by default.

AIGrok Bot is now available to all standard Grok and Cursor subscribers, with SuperGrok and Cursor Pro subscribers included. Cursor's Michael Truell says users are delegating tasks ranging from running small e-commerce businesses to testing production software. Weekly usage limits are also being reset for all users.

AIThe post links to a Google blog page about Gemini 3.5 Transcribe, presented as a model developers can start building with. The post itself gives no benchmark scores, pricing, or capability details beyond the link.

AILiveKit announces that developers can build voice agents using Grok Voice models, with full ZDR support. LiveKit's example patient intake agent cascades Grok STT, Grok 4.3, and Grok TTS through LiveKit Inference in a single AgentSession, with no separate API key or billing.

AIReplicate is letting users try four Recraft V4 variants: styles, styles SVG, styles pro, and styles pro SVG. The post provides links to each model on Replicate, with no details on pricing, benchmarks, or capabilities.

AISGLang announced Day-0 support for Qwen3.8-Flash-Next, a 125B MoE model with 6B active parameters and 51B N-gram embeddings, in collaboration with Alibaba Qwen, NVIDIA, and AMD. The post reports 540 tok/s decode speed at BS=1 on NVIDIA B200 (TP4) with an NVFP4 checkpoint, and says N-gram host offloading saves 23.5 GiB VRAM per GPU and raises KV capacity by 78.5%.

AIZ.ai has published standard API pricing for GLM-5.3-Flash, charging $0.15 per 1M input tokens and $0.50 per 1M output tokens. Cached input tokens are priced at $0.03 per 1M tokens.