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  • All-Terrain Wheeled Quadruped: Hybrid Mobility Innovation

    By

    @ronald_vanloon

    –

    Hybrid Mobility Unleashed: The All-Terrain Wheeled Quadruped
    via @ZappyZappy7 #Robotics #RPA #ArtificialIntelligence #Innovation #Technology

    → View original post on X — @ronald_vanloon

  • Amazon Retail Stores Operating as Cloud Systems
    Amazon Retail Stores Operating as Cloud Systems

    By

    @craigbrownphd

    –

    Amazon’s retail stores are starting to run like cloud systems https://
    cloudcomputing-news.net/news/amazon-re
    tail-stores-are-starting-to-run-like-cloud-systems/?utm_source=dlvr.it&utm_medium=twitter
    … #Cloud #Automation #Data #Innovation #DataPlatforms #CIO #BusinessStrategy #MLOps

    → View original post on X — @craigbrownphd

  • Google’s AI debates itself without training
    Google’s AI debates itself without training

    By

    @godofprompt

    –

    HOLY SHIT… Google just proved that reasoning models aren't thinking, they're arguing. > DeepSeek-R1 spontaneously generates internal multi-agent debates inside its own chain of thought. Nobody trained it to do this. Reinforcement learning for accuracy produced it

    → View original post on X — @godofprompt

  • China Launches Massive Humanoid Robot Manufacturing Line Production
    China Launches Massive Humanoid Robot Manufacturing Line Production

    By

    @kimmonismus

    –

    China announces its first automated manufacturing line capable of producing 10.000 humanoid robots per year ~ 1 robot every 30 minutes. They go all in robots.

    → View original post on X — @kimmonismus

  • daVinci-MagiHuman: Fast audio-video generation transformer model released

    By

    @shiqi_yang_147

    –

    daVinci-MagiHuman is here: 15B single-stream Transformer for joint audio-video generation. 🎬 Demo video👇 ⚡ Blazing fast: 5s 256p video in 2s, 1080p in 38s — single H100 🎯 80.0% win rate vs Ovi 1.1, 60.9% vs LTX 2.3 (2,000 pairwise evals) ✅ WER 14.60% — best-in-class audio-visual sync, beats LTX 2.3 (19.23%) and Ovi 1.1 (40.45%) 📚 6 languages: Mandarin, Cantonese, EN, JP, KR, DE, FR 🧠 One unified stream: text + video + audio tokens, self-attention only. 🛠️ Full stack open: base + distilled (8-step, CFG-free) + super-res + inference code 📄 Apache 2.0. 🤖: modelscope.cn/models/GAIR/da… 💻: github.com/GAIR-NLP/daVinci-…

    → View original post on X — @shiqi_yang_147, 2026-03-30 09:18 UTC

  • Silicon Valley Warning: AI Industry May Be Scaling in Wrong Direction
    Silicon Valley Warning: AI Industry May Be Scaling in Wrong Direction

    By

    @pascal_bornet

    –

    There is an old Silicon Valley warning that the AI industry should probably take more seriously: “𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗼𝗻 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗽𝗮𝘁𝗵 𝘁𝗼 𝗔𝗚𝗜, 𝗴𝗲𝘁 𝗼𝗳𝗳 𝗮𝘀 𝘀𝗼𝗼𝗻 𝗮𝘀 𝘆𝗼𝘂 𝗰𝗮𝗻. 𝗧𝗵𝗲 𝗹𝗼𝗻𝗴𝗲𝗿 𝘆𝗼𝘂 𝗯𝗲𝗹𝗶𝗲𝘃𝗲 𝘁𝗵𝗮𝘁 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗹𝗮𝗿𝗴𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 𝘄𝗶𝗹𝗹 𝗴𝗲𝘁 𝘆𝗼𝘂 𝘁𝗵𝗲𝗿𝗲, 𝘁𝗵𝗲 𝗳𝘂𝗿𝘁𝗵𝗲𝗿 𝘆𝗼𝘂 𝗱𝗿𝗶𝗳𝘁 𝗳𝗿𝗼𝗺 𝗔𝗚𝗜, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗺𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝘁𝗵𝗲 𝗰𝗼𝘂𝗿𝘀𝗲 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗯𝗲.” And that may be the bigger point. Not just whether LLM scaling reaches AGI. But whether the world’s smartest companies are becoming incredibly efficient at going faster in the wrong direction. #technology #ai #workplace Image credit: Ralph

    → View original post on X — @pascal_bornet, 2026-03-30 09:00 UTC

  • BuildAI Pitch Event: Transform AI Ideas Into National Impact
    BuildAI Pitch Event: Transform AI Ideas Into National Impact

    By

    @officialindiaai

    –

    The clock is ticking. If you’re building an AI solution with the potential to create national impact, this is your moment to step forward. The BuildAI Pitch Event is your opportunity to turn ideas into real-world change — with the right support behind you. Apply now:

    → View original post on X — @officialindiaai

  • LLM Training Without Massive Human-Labeled Datasets Analysis
    LLM Training Without Massive Human-Labeled Datasets Analysis

    By

    @jiqizhixin

    –

    How far can we push LLM training without relying on massive human-labeled datasets? A collaborative effort from Tsinghua University, Shanghai AI Lab, UIUC, and other leading institutions provides crucial insights. They conducted a comprehensive analysis of Unsupervised

    → View original post on X — @jiqizhixin

  • 8-Layer Architecture of Agentic AI Systems
    8-Layer Architecture of Agentic AI Systems

    By

    @ronald_vanloon

    –

    The 8-Layer Architecture of #AgenticAI
    by @Python_Dv #AI #LLM #ArtificialIntelligence #MachineLearning #ML

    → View original post on X — @ronald_vanloon

  • Sakana AI Developer Reflects on Namazu LLM Naming Choice

    By

    @sakanaailabs

    –

    I am personally very reflective about this matter. At Sakana AI, we have a custom of using Japanese words related to fish in our project names. The tentative name initially given to this project was Namazu. Subsequently, as we prepared for release, we extensively considered various official name proposals, going back and forth through trademark surveys, popularity votes, and discussions among stakeholders (this was extremely challenging), and ultimately only Namazu remained as a candidate. I must confess, most of us were unaware of the full-text search system Namazu. We had been aware for several months that the company would be releasing something under the name Namazu, but no concerns about the name were raised. Following this feedback, I conducted my own research. Due to generational differences, it didn't initially click, but I was finally able to appreciate that the full-text search system Namazu was an important presence that supported the Japanese web from the late 1990s onward. What particularly impressed me was learning about Tetsu Takabayashi, the creator. I have a weakness for carefully reading technical books, and there are not many I can say I've properly read. I was struck to learn that Takabayashi-san is also the author of "Binary Hacks," one of the few memorable technical books I have opened multiple times. While learning this belatedly, my feelings of respect, gratitude, and regret grew very strong. (My 2024 post about Binary Hacks: nitter.net/iwiwi/status/1840318083992612983) When I consulted directly with Takabayashi-san and offered my apologies, including being prepared to change the name, he did not raise concerns about the name and instead offered me encouraging words beyond what I deserved. While reflecting on my own shortcomings, I will continue to do my best going forward. — [Sakana AI official statement] Regarding the Name of the New LLM Series "Namazu" Regarding the name of the new LLM series "Namazu" featured in the recently released Sakana Chat (chat.sakana.ai), we have received valuable feedback from users who were reminded of the full-text search system "Namazu," which was widely used from the 1990s through the 2000s. The full-text search system Namazu was a system that laid the foundation for Japanese full-text search. While Sakana AI conducted legal verification regarding trademarks in naming Namazu, our research into the historical background of this field was insufficient. Following this feedback, we contacted Tetsu Takabayashi, the creator of the full-text search system Namazu, explained the circumstances, and consulted with him about the name. Takabayashi-san not only graciously permitted us to use the name but also gave us encouraging words to the effect of "I look forward to the development of Namazu" (we convey only the gist as this was a private communication). We will continue our development efforts to ensure that our project proves worthy of the name built by this great predecessor. [Translated from EN to English]

    → View original post on X — @sakanaailabs, 2026-03-30 08:35 UTC