Feel free to check our AI People game. https://
youtube.com/watch?v=c1MHJ6
2Fk_Y
… Autonomous AI NPCs interacting with the player, each other, and the environments, all orchestrated by the AI Director @aipeoplegame
@marek_rosa
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AI People Game Features Autonomous NPCs with AI Director
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NeRF Gaussian Splats Photogrammetry vs Sora Video Generation
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This could also be NeRF, Gaussian splats, or traditional photogrammetry, rather than Sora-like video generation.
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Real-time AI-simulated realities transforming human experience
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Soon, we will live in these real-time AI-simulated realities. Free from the limits of reality https://
x.com/PicoPaco17/sta
/PicoPaco17/status/1806088793977425945
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Suno AI Music Generation Freedom and Emotional Control
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For me, the wow factor of Suno AI surpasses all other AI products for two reasons: 1) Freedom of use: It has no ethical limits, allowing you to create songs with any content and lyrics. 2) Control of emotions: Music and songs are very emotional experiences, and with AI that can
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AI-Powered Game Studio Launches NPCs and Long-Term Memory Systems
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Not full stack game studio yet, but we are starting with AI NPCs, AI Director and Long-Term Memory @aipeoplegame
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Multiple Smaller Models vs Single Larger Model Performance
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Yes, I was expecting it. However, my concern was that multiple smaller models might not outperform a larger, smarter model due to missing core capabilities, similar to situations where increasing quantity doesn't necessarily overcome limitations, as quantity doesn't always equate
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Designing Resilient Civilization: Initial Thoughts
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We wrote a blog post about our initial thoughts on how to design a resilient civilization res/civ
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Distinguishing realistic optimism from naivety in AI
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I think we are talking about different kind of optimism (we don’t talk about being naive)
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Open-Source LLM Mixture Outperforms GPT-4o on AlpacaEval
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This is an exciting discovery! The collective intelligence of multiple open-source LLMs outperforms GPT-4o. "Together Mixture-of-Agents" leverages diverse models to achieve 65.1% on AlpacaEval 2.0, surpassing GPT-4o's 57.5%.