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  • Video generation as a new interface to reality and perspective

    By

    @ronald_vanloon

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    The breakthrough is not just better video generation. It is a new interface to reality. Instead of being locked into one camera angle, you can: → move across viewpoints
    → inspect scenes from new perspectives
    → revisit the same moment from a different position That means

    → View original post on X — @ronald_vanloon

  • Video Evolution: From Media Consumption to Interactive World Exploration

    By

    @ronald_vanloon

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    We are getting very close to the point where video stops being media, and starts becoming a world you can explore. Not watch. Explore. That shift is bigger than most people realize, because it changes video from a fixed perspective into an interactive simulation. Here’s why that matters, and what @InSpatio_AI is building…

    → View original post on X — @ronald_vanloon, 2026-04-08 08:32 UTC

  • NotebookLM fails to generate 20-minute audio after 2 hours

    By

    @learnopencv

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    @NotebookLM took 2 hours and failed to create a 20 min audio. On two different documents. Haven't seen any Google product fail like this.

    → View original post on X — @learnopencv

  • Enterprise AI Governance Crisis: OutSystems ASE Solution Addresses Management Gap

    By

    @datachaz

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    🚨 AI tooling is accelerating, but the enterprise management crisis is worsening just as fast! I saw this firsthand at the @OutSystems launch event last week, where CEO @woodson_martin shared some eye-opening data. The stats are revealing: • 41% of code is now machine-generated. • 60% of devs use at least 3 AI tools. • 67% of leaders feel unequipped to govern this rapid output. ASE is OutSystems’ answer to that shift: → Grounding AI in deep enterprise context. → Enforcing governance and compliance automatically. → Bridging the gaps between fragmented teams and architectures. → Transforming fragile AI experiments into robust production systems. This launch feels incredibly timely. Not because AI is new, but because the lack of enterprise structure around it is becoming our biggest bottleneck 👀

    → View original post on X — @datachaz, 2026-04-08 08:14 UTC

  • Editor-in-Chief Model: Volume Up, Judgment Demands Rise

    By

    @aihighlight

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    Editor-in-Chief is the right mental model. The output volume went up. The judgment requirement didn't go down. It went up too.

    → View original post on X — @aihighlight

  • Cheers: Unified Multimodal Model for Image Understanding Generation

    By

    @jiqizhixin

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    AI could understand and generate images from a single, efficient model! Tsinghua University, Xi'an Jiaotong University, and University of Chinese Academy of Sciences present Cheers! This unified multimodal model decouples fine image details from their core semantic meaning. This new architecture stabilizes AI's understanding while boosting image generation fidelity by selectively re-injecting those details. Cheers matches or outperforms advanced unified multimodal models in both visual understanding and generation. It notably beats Tar-1.5B on GenEval and MMBench, using only 20% of the training cost and achieving 4x token compression. Breakthrough efficiency! Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation Project: github.com/AI9Stars/Cheers Model: huggingface.co/ai9stars/Chee… Paper: arxiv.org/abs/2603.12793 Our report: mp.weixin.qq.com/s/EK6cyCJz5… 📬 #PapersAccepted by Jiqizhixin

    → View original post on X — @jiqizhixin

  • Building More Human-Like Artificial Intelligence Systems

    By

    @scobleizer

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    It is about building a more human like AI.

    → View original post on X — @scobleizer

  • WideSeek-R1: Multi-Agent Framework Achieves DeepSeek-R1 Performance

    By

    @jiqizhixin

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    Still waiting for DeepSeek? Here comes WideSeek-R1. Researchers from Tsinghua University and Infinigence AI introduce "width scaling," an innovative lead-agent and subagent framework. Instead of a single powerful AI working through a problem sequentially, WideSeek-R1 orchestrates multiple smaller AIs to work in parallel. This system is trained with multi-agent reinforcement learning, allowing for scalable coordination and simultaneous execution using a shared large language model, but with each sub-agent having specialized tools and isolated contexts. WideSeek-R1-4B achieves an item F1 score of 40.0% on the WideSearch benchmark, a performance comparable to the much larger, single-agent DeepSeek-R1-671B. WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper: arxiv.org/abs/2602.04634 Project: wideseek-r1.github.io Our report: mp.weixin.qq.com/s/qgGe51Rcw… 📬 #PapersAccepted by Jiqizhixin

    → View original post on X — @jiqizhixin

  • Hexo.ai: The AI Scientist Built by a 21-Year-Old Genius

    By

    @scobleizer

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    I met with the founders of hexo.ai/ today. Building an AI scientist. About to launch something new that is beating all the evaluations. Their AI is next level. Evolves faster than competition that got a lot more money. Has a better memory. And it is turning the humans who have it into superhumans in their corporations. It is helping scientists around the world discover new materials and come up with new drugs. I kept up because the one I am using to build alignednews.com/ai is the same. Superior. And evolving the same. Built by a 21-year-old genius. Building with AI has made me a better interviewer. There are tiny startups out there that are beating the big labs. I am so hopeful for the future because of them.

    → View original post on X — @scobleizer, 2026-04-08 07:45 UTC

  • AI Breakthrough Mythos Sparks Existential Dread and Questions

    By

    @ceobillionaire

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    i'm on vacation with my family. i read about mythos and couldn't relax the rest of the day. i am completely stunned. i already have a severe case of ai psychosis. i dont know what to call this now. i'm up late right now (late for me). i can't stop reading about anthropic's new model that they can't even release publicly because it's so good. this feels different. words like "frightening" and "uneasy" and "scary" are being throw around by the anthropic team. i feel all of those things. i knew this moment was coming. i didn't know it'd be so soon. i'm generally optimistic. i don't feel as optimistic today. i was shell-shocked most of the day. my mind was stuck on it. i kept looking around at people enjoying their vacations with their families and…i just felt weird. like i had been told aliens are real, they're coming, and soon…and no one else knows. it's true though, practically no one knows what's happening in AI right now. where does this go from here? how quickly? is software solved? is all software vulnerable now? am i even asking the right questions? what about anthropic? this is an enormous amount of power for one company, one man (dario), to have. i've said this before but now it's more real than ever: can any company catch up to anthropic? opus likely helped build mythos, mythos will help build the next model after that. recursive self improvement is here. the "intelligence explosion" as leopold aschenbrenner put it, is here. i knew the frontier labs were racing towards ASI. i knew it. but i didn't fully grasp what it meant. the first company to reach it wins. period. full stop. nothing else matters. dario knew that and his bet on coding was right. on the one hand, imaging all science, math, coding, climate problems being solved. imagine cancer being cured. imagine going to the stars. on the other hand – imagine concentration of power, political and economic change happening so fast, society can't adapt. how do we go on like things are the same?

    → View original post on X — @ceobillionaire, 2026-04-08 07:39 UTC