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Nous Research@NousResearchAI score31AINous Research says Hermes Agent is now available on the new ASUS ProArt RTX Spark PCs, with MuseTree and ComfyUI integrations and local model support on up to 128 GB of unified memory. The post presents it as a creative stack that runs entirely on the user's own machine.
OpenRouter@OpenRouterAI score44AIStepFun's Step 5 Preview is now live on OpenRouter as the company's new flagship for agentic work. It uses a sparse MoE design with 27B active and 600B total parameters, a 1M context window, and accepts text, image, and video input. The post highlights strength in coding and professional knowledge work, especially finance.
merve@mervenoyannAI score37AIllama.cpp v0.6.0 adds support for multimodal Jev-like models and a performance upgrade for Metal, according to Merve Noyan. The post says models can be served with a single command, `llama serve -hf ggml-org/Clef-Flash-GGUF`, and points to a trending list of decision models on Hugging Face.
NVIDIA AI@NVIDIAAIAI score23AINVIDIA AI highlights how H-Company optimizes vision-language model (VLM) serving for computer use agents using NVIDIA Dynamo. The post is a broadcast announcement with a link, and no performance figures or technical details are given in the text.
AIMeta is donating 1,000 Ray-Ban Meta AI glasses to four Singapore organisations serving people with disabilities, alongside a US$30,000 grant for accessibility training. The glasses help users who are blind or have low vision read text, identify objects and describe their surroundings. The grant will fund a free curriculum from the Singapore Association of the Visually Handicapped on using the glasses safely in daily life.
AIPerplexity has released pplx-embed-v2-late, a pair of ColBERT-style multimodal embedding models in 0.6B and 9B sizes that retrieve text, images and rendered PDF pages in a shared embedding space. Both are available on Hugging Face under the MIT license, while a hosted API endpoint is planned but not yet live.
AIJohns Hopkins astrophysicist Brice Ménard, working as an Anthropic researcher, used Claude Science to produce the first complete map of the sky in ultraviolet light. Claude orchestrated agents to merge GALEX, Swift, and FIMS/SPEAR data, then predicted roughly a third of the sky that no UV telescope had observed, using relationships to visible, infrared, and radio data. Hidden test regions were reconstructed to within about 10% of real measurements, and each pixel is labeled measured or predicted with uncertainty estimates.
Why it matters: The post shows how an astrophysicist used Claude Science agents to merge UV surveys and predict missing sky regions, with a validation step that makes the method reusable.
AILuma announced that Claude Motion animations can now open directly in Luma through an MCP connection, letting creators restyle them and reframe them to 9:16, 1:1, 4:3, or 21:9. Claude Motion, currently in beta on Claude Team and Enterprise plans, generates animated explainers from prompts, while Luma's Ray and Uni video models produce final video files.
elvis@omarsar0AI score67AIA NVIDIA study accepted at NeurIPS 2026 reports that multimodal models refuse harmful requests less reliably when they call tools. Refusal failures rise by up to 68.7% relative and by 17.7% on average across the models tested, including Claude Opus 4.6 and 4.7 and Gemini Agentic Vision. The authors attribute this to tool outputs crowding out the original harmful intent and to attention shifting toward describing tool results. Re-inserting the original request and image before the final response restores part of the lost refusals.
vLLM@vllm_projectAI score46AIThe vLLM team released a technical report on vLLM-Omni, a unified serving runtime for omni-modality generation spanning multi-stage autoregressive pipelines, iterative diffusion, and stateful sessions. Current LLM servers and diffusion stacks each cover only one of these patterns, pushing deployments to stitch disjoint runtimes together. vLLM-Omni offers a shared control plane in which an orchestrator advances requests across stages, specialized engines handle compute, and a connector carries payloads.
Orange AI@oran_geAI score34AIThis Next Token episode discusses Personal Agents, including Dots in Codex, memory and cloud computer permissions, and whether agents should act as assistants or digital twins. The hosts also cover Instinct's booking and business-travel model, hands-on projects built with Opus 5.5, and whether software, games, and hardware could become open source as AI makes rewriting easier.
ComfyUI@ComfyUIAI score43AIComfyUI says Vidu Q4 Preview, the first preview of Vidu's new flagship video model, is now available through Partner Nodes. The model offers finer character acting with expressions, emotion, and body language, voice consistency using up to three reference audio clips, and up to 15 reference images per shot. It outputs up to 16 seconds at 2K and 4K, with smoother cuts and camera moves across shots.
AIApple researchers introduced Normalizing Trajectory Models (NTM), which model each reverse diffusion step as a conditional normalizing flow trained with exact likelihood. The model matches or outperforms strong image generation baselines on text-to-image benchmarks in just four sampling steps while retaining exact likelihood over the generative trajectory.
AIBen Affleck described how visual effects work has long used machine learning, including convolutional neural networks that analyze image tensors to detect edges and features. He said these patterns help separate subjects from green screens and insert new backgrounds, and he called transformers the more advanced successors to those earlier methods.
AIOpenAI announced on X that GPT-6 and Intelligent UI are now rolling out to all ChatGPT users, after GPT-6 Astra, Sol and Luna were previously limited to ChatGPT Work and Codex. Intelligent UI lets GPT-6 combine text, images and interactive elements such as charts, clickable buttons and forms, with a mahjong learning example shown.
AIOpenAI says ChatGPT now offers Intelligent UI, which returns answers with fully interactive user interfaces. GPT-6 is rolling out in ChatGPT, powered by GPT-6 Sol for Plus, Pro, Business, and Enterprise tiers and GPT-6 Luna for Free and Go tiers. The rollout begins globally today in the Chat tab for paid tiers, with Free and Go tiers following tomorrow.
OpenRouter@OpenRouterAI score46AIPerplexity's open-weights multimodal decision model, Decider v1.1, is now available on OpenRouter. It accepts text, JSON, or images and returns typed answers with probabilities, priced at $0.02 per million input tokens with free output. Perplexity says it scores highest on Hugging Face's new Decision Index 0.3 benchmark and costs half as much as v1.
fal@falAI score34AIfal has launched Vidu Q4, offering image-to-video generation from a single first frame with native audio. Reference-to-video supports up to 12 reference images and 3 voice clips for consistent characters and voices. Clips run 3 to 16 seconds at resolutions from 540p up to 4K.
👩💻 Paige Bailey@DynamicWebPaigeAI score31AIBen Affleck says he writes Python, understands convolutional neural networks, and has worked extensively with GPUs. He also says he used his celebrity status to get private looks at Google and OpenAI's video models. The post asks whether he uses Veo, Omni, or Nano Banana, but the source does not confirm any of these.
Tibo@thsottiauxPickAI score78AIOpenAI is releasing a new version of GPT-6 to all ChatGPT users, extending the model beyond text. The post says model and infrastructure improvements were combined to scale it to 1.2 billion users, and it pairs the release with Intelligent UI, which delivers fast, interactive, and visual answers.
Why it matters: The post names the rollout scope and points to model and infrastructure work behind serving the update, which shows how a large consumer launch is being scaled.
AIThree Axiom engineers had OpenAI's GPT-6 Astra drive a 2024 Toyota Corolla to an In-N-Out drive-thru through a server linked to cameras and power steering, with a safety driver ready to brake. They also built a parking-lot benchmark, DrivingBench, where Astra completed the course slowly, Claude Fable 5.1 finished 45 percent, and Grok finished 11 percent.
AILiquid AI released two open-weight multimodal decision models, d1-3B and d1-omni-600M, which return probability answers in one forward pass with zero output tokens. d1-3B scores 48.57 on Decision Index v0.2.1 and answers one question in 8 ms on an RTX 4090, while the models are licensed free for commercial use below $10 million in annual revenue.
OpenAI@OpenAIAI score62AIOpenAI says GPT-6 can now compose responses using text, visuals, and interactive elements, choosing how they fit together based on the user's question. Responses can include graphics and charts that help explain an idea, along with tappable buttons, forms, and interactive experiences usable directly in the conversation.
OpenAI@OpenAISame storyAI score72AIOpenAI announced that GPT-6 and Intelligent UI are now rolling out in ChatGPT for all users. The company says Intelligent UI provides fast, interactive answers, visual explanations of complex topics, and interactive tools for tasks.
This story has a top pick“OpenAI rolls out GPT-6 and Intelligent UI to all ChatGPT users”
Liquid AI@liquidaiAI score40AILiquid AI has released its d1 decision models, with d1-3B recommended for high-quality text and vision tasks and d1-omni-600M offered as an experimental option for smaller footprints. The weights are available for download, fine-tuning, and local deployment.
Liquid AI@liquidaiAI score36AILiquid AI has released d1-omni-600M, an experimental 600M-parameter model that handles text plus image or audio input. It combines LFM2.5-Encoder-350M with vision and audio encoders and leads the company's text benchmark comparison on toxicity detection and paraphrase identification. The post suggests uses such as voice-command routing, on-device moderation, and intent classification.
Liquid AI@liquidaiAI score23AILiquid AI's d1-3B ranks first among models under 10B parameters on the Decision Index v0.2.1, a benchmark for structured decision-making. Built from LFM2.5-VL-3B, it makes decisions from text and images in a single pass. It is suited to reranking, agent guardrails, and visual inspection.
Liquid AI@liquidaiAI 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).
Gamma@GammaAppAI 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.
Aravind Srinivas@AravSrinivasAI 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.
Amazon Science@AmazonScienceAI score8AIAmazon Science is inviting attendees to its booth at COLM 2026 on Day 2 for talks on multi-agent orchestration, visual reasoning, and LLM agent evaluation. The post links to more details about the booth sessions.
Perplexity@perplexity_aiAI 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.
Ai2@allen_aiAI score20AIAi2 introduces Bolmo, a model that operates on bytes rather than tokens, which the team hopes will lead to larger models adapting how they represent information across languages and domains. Because bytes can also represent images and audio, the approach could eventually extend beyond text.
Rowan Cheung@rowancheungAI score13AIRowan Cheung says he built an app with GPT-6 Astra that selects his outfit each morning using live weather, with himself as the model. He describes the setup as uploading full-body and face photos, adding height, sizes, fit notes, and preferred and refused colors, then pasting a master prompt and letting it build for 1 to 2 hours.
Krea@krea_aiAI 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.
Google@GoogleAI 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.
AIGoogle is making its SynthID Detector available globally in English, letting anyone check whether an image, video, or audio file was made with AI from Google or partners including OpenAI, NVIDIA, Kakao, and soon Apple. The tool joins built-in verification in Search, the Gemini app, and Chrome, which now handle over 1 million requests daily. Google says SynthID has watermarked over 180 billion images and videos and 240,000 years of audio.
Why it matters: The source specifies which vendors' AI media the detector checks, helping readers judge how far the verification covers content they encounter online.
AIThe Technology Innovation Institute introduces Falcon-ASR, a 1.6 billion parameter speech recognition model for Arabic with a focus on the Emirati dialect. On six Arabic test sets it reports an average word error rate of 20.92%, versus 23.17% for the best published leaderboard result it compared against. The model also transcribes English, French, Spanish and Portuguese with the same weights, and a demo Space is available while API access and native apps are planned.
Guizang@op7418AI score42AIElon Musk said the Grok bot will now use the best back-end model for each task, including Claude Opus 5.5, Midjourney, Suno, and other leading APIs. The aim is to deliver whatever is most likely to produce the best outcome, not just Grok 4.7 or 4.6.