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Liquid AI@liquidaiOfficialAI score52AILiquid AI released Open d1, two open-weight multimodal models in its d1 decision model family. The d1-3B model supports text and vision, while d1-omni-600M supports text plus image or text plus audio. The source says the models are meant for real-time decision making across data centers, RTX workstations, and Jetson edge devices.
AILiquid AI released two open-weight decision models, d1-3B and d1-omni-600M (experimental), built on its Liquid Foundation Models and available on Hugging Face. d1-3B scores 48.57 on the Decision Index 0.2.1, the highest among decision models under 10B parameters, and answers a question in 16 ms on an NVIDIA Jetson AGX Thor and under 50 ms on a Jetson Orin Nano. The models support text and images (d1-3B) or text with image or audio (d1-omni-600M).
Google@GoogleOfficialAI score44AIGoogle is launching its first TPUs into orbit to test how hardware holds up under solar events, cosmic rays, and radiation-induced bitflip errors. The post says these conditions can only be tested in space.
Gamma@GammaAppOfficialAI score43AIGamma announces Gamma 5, which it calls its biggest update, rebuilding its engine from the ground up. The release adds an agent for brainstorming, research, and editing, plus style control from described looks or visual inspiration. It also supports importing and exporting PowerPoints, PDFs, and company brand, with connections to Slack, Notion, Salesforce, Claude, and ChatGPT.
AIDatabricks announced general availability of on-behalf-of-user (OBO) authorization for Databricks Apps, letting apps act with the signed-in user's identity so Unity Catalog enforces that user's row filters and column masks. Developers can request narrow API scopes such as sql:restricted-query, which allows only read-only SQL queries, while apps keep a dedicated service principal for app-owned operations.
Daniel Han@danielhanchenXAI score48AIUnsloth now lets users train their own decision models locally on just 3GB of VRAM by fine-tuning Qwen, Gemma, and Llama with a Clef head. The post says this raises accuracy from 30% to as high as 78%, and the tool is available through Unsloth Desktop.
Aravind Srinivas@AravSrinivasXAI score62AIPerplexity is open-sourcing pplx-embed-v2-late, multi-vector embedding models for text and images in one shared space, in 9B and 0.6B sizes. The 9B model can index multimodal data, the 0.6B model can run queries on device, and PDF pages can be searched without OCR. The author reports 92.4% on MADQA and 64% on BrowseComp+, with weights available on Hugging Face.
Santiago@svpinoXAI score22AIA new model extracts values absent from a document by computing them from figures that are present, such as deriving a yearly product cost from a monthly price. Santiago says the video shows examples of inferring complex formulas. The background post describes this as Higher-Order Extraction, which deterministically computes needed numbers from raw page values.
AIGitHub is rolling out a fine-tuned, purpose-built model for secret detection that reads surrounding code to identify likely credentials, including passwords without recognizable token formats. Existing AI-detected Password alerts have been upgraded automatically, and AI-detected secrets in push protection is in private preview. New opt-in checks in push protection and the GitHub Copilot /security-review command will consume GitHub AI Credits.
Perplexity@perplexity_aiOfficialAI score27AIPerplexity has published both pplx-embed-v2 models on Hugging Face, with the collection available at the linked URL. The post provides no further details on model sizes, benchmarks, or capabilities.
Perplexity@perplexity_aiOfficialAI score32AIPerplexity reports its system reached 92.4% accuracy on MADQA, a benchmark of 500 questions over 800 PDFs. The post describes this as the top result among retrievers on that benchmark.
Perplexity@perplexity_aiOfficialAI score36AIPerplexity's models embed images and rendered pages directly, so PDFs, slides, and scans can be searched without OCR. This preserves tables, figures, and layout that text extraction typically drops.
Microsoft Research@MSFTResearchOfficialAI score24AIMicrosoft Research introduced Agent Lightning, a tool that connects existing AI agents to reinforcement learning training. It aims to make agents easier to improve without rebuilding them, since their tools, context, and decision-making are typically managed by complex frameworks.
Perplexity@perplexity_aiOfficialAI score45AIPerplexity has released pplx-embed-v2-late, two late-interaction embedding models that retrieve text, images, and pages within a shared embedding space for cross-model querying. The company says both models achieve frontier performance and are publicly available on Hugging Face.
Jerry Liu@jerryjliu0XAI score47AILlamaIndex has launched OpenDocRouter, a unified API that transcribes documents to markdown across frontier and open-weight models at cost plus a small transaction fee. The service handles rate limits, adds bounding boxes and layout as a service, and will benchmark new OCR models on ParseBench before adding them.
LlamaIndex 🦙@llama_indexOfficialAI score47AILlamaIndex announced OpenDocRouter, a single API that routes document parsing requests to any of 10 frontier and open-source models at launch, including Claude Opus 5.5, Gemini 3.8 Flash, GPT-6 Luna, MinerU2.5-Pro, and PaddleOCR-VL-1.6. Users can switch models in one line with the same request and markdown output, and each model is scored on ParseBench for quality and cost. Pricing is per-token, failed pages are not charged, and the service costs $0.86 to $48.82 per 1,000 pages depending on the model.
AIOpenAI's Codex 0.161.0 release makes GPT-6.1 Sol the default model in the bundled and Amazon Bedrock catalogs. It adds Amazon Bedrock support for multi-agent V2 and Ultra reasoning on compatible models, plus opt-in Daybreak routing enabled through --enable cli_daybreak or features.cli_daybreak=true.
AIMicrosoft Research Asia has open-sourced Agent Lightning v1.0, a roughly 3,500-line agentic RL framework that trains the same agent harness used in deployment. In an end-to-end coding agent pipeline, Qwen3.5-9B rose from 41.8% to 56.4% Pass@1 on SWE-bench Verified using about 6,000 training samples. The framework runs agents as standard Kubernetes jobs without paid commercial sandbox services.
Why it matters: The source shows how training with the deployed agent harness avoids rebuilding agents, and reports concrete SWE-bench Verified gains from about 6,000 samples.
Ai2@allen_aiOfficialAI score36AIAi2 is making new Stage 1 checkpoints available, with the byte-level components already trained and the original model's weights left unchanged. Researchers can use them to test new architectures and train the full system without repeating that initial stage.
AIThe AWS Machine Learning Blog describes an automated remediation workflow that acts on AWS DevOps Agent investigation results. Amazon EventBridge triggers a Lambda durable function that uses Amazon Bedrock to propose fixes from an allowlist of tools, running read-only actions autonomously and pausing for human approval before infrastructure changes. The post demonstrates the flow with a Lambda function whose 3-second timeout is raised to 30 seconds after a single approval.
AIGitHub has made local sandboxing for GitHub Copilot generally available in GitHub Copilot CLI, the GitHub Copilot app, and VS Code sessions using Agent Host. Sandboxes restrict the filesystem, network, and credentials that Copilot-initiated tools and commands can access, based on developer or organization policies. The feature is powered by Microsoft eXecution Container (MXC), supports Windows, macOS, and Linux, and is included at no additional cost.
AIGitHub Copilot CLI version 1.0.94-0 lets users run /model to discover supported models from a running local Ollama instance alongside configured and GitHub Copilot cloud models. Discovered models are not added automatically; users choose one, review its provider and endpoint, then confirm Add and use for this session or Add without switching, and models must support tool calling and streaming. Choosing a local model does not enable offline mode or disable GitHub telemetry, and COPILOT_OFFLINE=true remains a separate explicit setting.
AINVIDIA's cuOpt decision optimization software now targets problems with 100 million variables using mPDLP. The source says cuOpt already delivers more than 10x speedups over CPU solvers, while detailing little else about mPDLP's design or availability.
🚨 AI News | TestingCatalog@testingcatalogXAI score20AIGoogle has rolled out a new Playground experiment in the US, letting paid-plan users generate content while all users can play games in its gallery. The post does not specify what kind of content can be generated or which plans qualify as paid.
🚨 AI News | TestingCatalog@testingcatalogXAI score41AIGoogle released the Google AI Edge Foresight app for macOS, powered by Gemma 4 and EmbeddingGemma 2. The app can connect to Google Drive to build a knowledge graph and, when transcription is active, uses local Gemma 4 E4B or Gemma 4 12B models to transcribe voice notes into new documents. EmbeddingGemma 2 is an open-weight, Apache 2 licensed 740M-parameter multimodal embedding model with an 8K context window.
OpenRouter@OpenRouterOfficialAI score42AIEleven v4 is their most expressive voice model, with audio tags like [whispering]. v4 Turbo keeps that quality for real-time agents, Flash v2.5 is built for ultra-low latency, and Scribe v2 Medical is tuned for clinical conversations.
OpenRouter@OpenRouterOfficialAI score34AIElevenLabs is now available on OpenRouter, offering 9 Text to Speech models supporting up to 90+ languages and 2 Speech to Text models with speaker labels and word-level timestamps. All ElevenLabs models are 50% off on OpenRouter through October 19, 8am PT.
LangChain@LangChainOfficialAI score22AILangChain announces LangSmith Engine v2, which red teams agents, detects more issue types, and automatically tests proposed fixes. The update was presented by Ben Tannyhill at the Interrupt NYC session.
Google Gemma@googlegemmaOfficialAI score46AIAI lab Living Models pairs Gemma 4 E4B with BOTANIC-1, a genomic language model, to speed up identifying DNA that makes crops climate-resilient. Gemma prepares genomic data and filters candidates, while BOTANIC-1 scores evolutionary impact to pinpoint the causal mutation. In a recent test, the system ranked a target melon yield mutation first out of 2,494 possibilities after an afternoon of computation.
Krea@krea_aiOfficialAI score26AIKrea has released a plugin that brings its AI tools into Adobe Photoshop, according to a link to its Photoshop plugin page. The post itself provides no further details on features, pricing, or availability.
Krea@krea_aiOfficialAI score28AIKrea has released a plugin that brings its models, including Nano Banana, Krea 2, and GPT IMG 2.5, directly into Adobe Photoshop. The post invites users to try it now but gives no pricing or availability details.
AINVIDIA's cuPhoton targets the computational bottleneck in scientific image pipelines, where data from observatories, telescopes, lasers, and X-ray light sources arrives faster than CPU-bound processing can handle. The source says the bottleneck is usually the whole path from raw sensor data to decision, not one slow kernel. The available text does not give benchmark figures, pricing, or availability details.
Databricks@databricksOfficialAI score22AIDatabricks' Omnigent lets policies check agent actions before they execute, enforcing spending limits and restricting tool use. Policies can also track accumulated risk across a session and require approval once a threshold is reached.
elvis@omarsar0XAI score44AISmallest AI's Pulse ranks first on the Diarization + ASR track of Voice Arena's Diarization Bench with a 24.4% DER, where lower is better. The next system in that track scores 40.7% DER, and Pulse misses 4.4% of reference speech, the lowest in the track.
Google AI@GoogleAIOfficialAI score54AIGoogle is letting anyone check files for SynthID watermarks at synthid.com, covering content from Google and partners including OpenAI, NVIDIA and Kakao. Apple is listed as coming soon. Google says it has watermarked 180 billion images and videos and more than 240,000 years of audio, and the portal handles about 1 million verification requests daily.
AIMistral has released Mistral Large 4, nicknamed Le Chonk, a 1 trillion-parameter model it says can be used and customized by anyone. It is in preview, with a final version due by the end of the month, and is optimized for coding and cyberdefense as well as manufacturing, finance, and electrical engineering tasks. Mistral claims it is the most capable open-weight model developed outside China and says it was trained from scratch rather than through distillation.
Google@GoogleOfficialAI score46AIGoogle says it has watermarked more than 180 billion images and videos, plus 240,000 years of audio, since launching SynthID in 2023. The verification feature is built into Search, the Gemini app, and Chrome, which together handle over 1 million verification requests daily. Google presents the SynthID Detector platform as part of its effort to give users more context about online media.
Google@GoogleOfficialAI score45AIGoogle is expanding its SynthID Detector verification portal through partnerships with OpenAI, NVIDIA, Kakao, and soon Apple to improve transparency for AI-generated content. The portal is now available globally in English and lets users check whether media was made with AI.
AIStacklok, founded by Kubernetes creators Craig McLuckie and Joe Beda, has released Mecatl, an open source cloud-native harness for coding agents on GitHub. Mecatl keeps the agent loop separate from the client, model provider, state store, and execution environment, and moves tool calling, session management, and memory into manageable systems. The article also covers ToolHive, an MCP platform, and an AI Gateway that is not yet open sourced, with a commercial enterprise control plane tying the pieces together.
Mistral AI@MistralAIOfficialAI score40AIMistral Large 4 is positioned to run general-purpose agents that gather information and produce finished deliverables across complex workflows. The post provides no further details on benchmarks, parameters, pricing, or availability.
