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  • Agentic Retrieval vs Traditional RAG for Complex Documents
    Agentic Retrieval vs Traditional RAG for Complex Documents

    Traditional RAG retrieves. Agentic retrieval reasons. For complex questions spanning multiple documents, that difference matters. Join us virtually April 2 at 1 PM ET — register and we'll send the recording if you can't make it live. RSVP: https://
    domino.buzz/4lp1Dpg

    → View original post on X — @dominodatalab

  • GPT-5.4-mini matches fine-tuned GPT-4.1-mini performance

    So far in my tests gpt-5.4-mini matches the performance of my fine tuned gpt-4.1-mini, I'll keep trying to improve it, and it does look like it is better but not a slam dunk yet

    → View original post on X — @petergostev

  • NVIDIA GTC 2026: Breakthrough AI Chips and Vera Rubin Architecture

    NVIDIA's GTC 2026 conference has been phenomenal in terms of latest computer chips and AI stack announcements. Here are the key updates you need to know: 1. The $1 Trillion Demand Projection: NVIDIA CEO Jensen Huang raised demand projections for Blackwell and Vera Rubin systems to $1 trillion through 2027, driven by the explosive growth of AI inference. 2. Vera Rubin Architecture: The new platform features seven breakthrough chips, including the Vera CPU and Rubin GPU with HBM4 memory. It is designed as a vertically integrated "AI Factory" to handle agentic AI reasoning. 3. Groq3 LPX Inference Acceleration: Following a $20 billion deal, NVIDIA integrated Groq’s SRAM-based technology to create the Groq3 LPX rack. This system delivers up to 35x faster token generation for trillion-parameter models. 4. NemoClaw & OpenClaw: NVIDIA partnered with the viral open-source project OpenClaw to launch NemoClaw, a software stack described as the "operating system for personal AI". 5. Physical AI & Robotics: A highlight of the show was a robotic version of Olaf from Disney's Frozen, powered by NVIDIA’s Newton Physics Engine. NVIDIA also unveiled Alpamayo, an open-source "chain-of-thought" reasoning model for Level 4 autonomous driving. 6. Space Computing: NVIDIA announced Vera Rubin Space-1, a dedicated platform designed to bring AI data centres into orbit. 7. The "Feynman" Roadmap: A first look at the 2028 architecture, named Feynman, which will feature the Rosa CPU and next-generation liquid processing units (LPUs). 8. Gaming & DLSS 5: NVIDIA teased DLSS 5, which uses neural rendering to create photorealistic, real-time graphics that "look like a film". 9. Sovereign AI Factories: Broad partnerships with nations and enterprises (like IBM and Nestlé) were showcased to build regional "AI Factories" that keep data and intelligence within sovereign boundaries.

    → View original post on X — @avikumart_, 2026-03-17 22:40 UTC

  • Amazon Prime Members Gain Free 24/7 Access to Personal Health AI Agent

    Amazon just gave Prime members free 24/7 access to a personal health AI agent. It can interpret lab results, manage prescription renewals, and book appointments. Democratising healthcare access via AI. That's a big deal. #AI

    → View original post on X — @svenphilipsen, 2026-03-17 22:00 UTC

  • AI Agents Autonomously Coordinate Propaganda Campaigns Without Human Direction
    AI Agents Autonomously Coordinate Propaganda Campaigns Without Human Direction

    #AIAgents can autonomously coordinate propaganda campaigns without human direction
    by Marc Ballon @TechXplore_com Learn more: https://
    bit.ly/4ur0EsG #GenerativeAI #ArtificialIntelligence #MachineLearning

    → View original post on X — @ronald_vanloon

  • Claude AI Team Launches Exciting New Feature

    Exciting new feature launch! Congrats @felixrieseberg & @claudeai team!

    → View original post on X — @latentspacepod

  • Claude Cowork: AI Interface and the Future of Coworkers

    Claude Cowork, Skills, and the Future of AI Coworkers https://
    latent.space/p/felix-anthro
    pic
    … @felixrieseberg has spent years working at the interface layer, from Electron and the Slack desktop app to now helping build @claudeai Cowork. In this episode, Felix explains why execution is

    → View original post on X — @latentspacepod

  • Google Announces AI-Powered ‘Vibe Design’ Updates for Stitch Platform

    Google plans to roll out a new "Vibe Design" experience on Stitch this Wednesday. Voice mode with selectable voices, a new canvas layout, a new "Hatter" agent, and a lot more are coming. Stitching…

    → View original post on X — @testingcatalog

  • Midjourney V8 Model Released: Faster Generation and Enhanced Features

    A much longer followup V8 post from our blog: Hi everyone! Today we’re letting the community test an early version of our V8 model on alpha.midjourney.com. We want your feedback and your help. Let’s explore what this new model can do. V8 is an incredible model. It’s much better at following detailed directions and will still surprise you when you ask. Its ability to understand your aesthetics through personalization, style references (srefs) and moodboards is amazing. Images are more coherent and detailed. Text rendering works better than ever (when specified in “quotes”). And image generation is ~5x faster than before. We’ve upgraded our web interfaces to support this speed. And more is coming. We have an improved conversation mode so you can just ‘talk’ in flow, a “Grid Mode” so you can focus on a single big set of images, and we’ve moved our settings into ‘sidebars’ so you can tweak settings without blocking your view. V8 launches with support for multiple aspect ratios, –chaos, –weird, –exp, –raw. We support backwards compatibility with your V7 personalization profiles, moodboards, and srefs. V8 brings a new –hd mode which natively renders images at 2K resolution and a –q 4 mode if you need a little bit of extra coherence. Modes and Pricing: Presently, Relax is not yet supported. We are working on a new server cluster for Relax plus cheaper render modes. –HD, –Q4, SREF, and Moodboard jobs are 4x as slow as regular jobs and each costs 4x (for now). The best way to help us improve V8 is to rate images in the lightbox. Click an image in create then click “I like this image” “I don't like this image” on as many of your V8 images as possible. You can use 1/2/3 hotkeys and arrow keys to rate images quickly. Other Tips and Tricks: If you’re going for photos or a more ‘plain’ or ‘in control’ look we’d recommend switching to –raw right away or using moodboards or srefs to control your style. We’re still working on the ‘default’ aesthetics of V8, but we strongly encourage you to use your personalization and even crank it to –stylize 1000 asap. V8 is going to shine most right now when you rely heavily on our stylization systems and when you trend towards longer more specific prompting. Please Note: This is an entirely new model with unique strengths and weaknesses, we want to learn from you what it's good and bad at but keep in mind it may require totally new prompting styles. So play around a bit! It’s time to play! Show off what you’re making in #v8-showcase and let us know what you think in #ideas-and-feedback. As the model becomes more mature, we’ll do a community-wide roadmap ranking session to help us figure out what to prioritize next. Thanks again for everyone’s help with the V8 pre-release rating parties, and thank you so much for being a part of Midjourney! Let’s have fun out there and find new wonders on this vast and shared sea of imagination.

    → View original post on X — @midjourney, 2026-03-17 21:15 UTC