Gemini: Would a #GenerativeWorldModel be best #AIplatform to dev #RealisticVirtualHarbin & #
Gemini: Would a #GenerativeWorldModel be best #AIplatform to dev #RealisticVirtualHarbin & #RealisticVirtualEarthForAgingReversal in #GStreetView w #GTimeSlider #GCell #GMolecule levels eg in https://t.co/8nAQqn7z50 &for #WUaSMultimediaHospitalRoom? Yes: https://t.co/Disadrl4ap ~ https://t.co/iFZVyMVRJN
— WorldUnivandSch (@WorldUnivAndSch) October 21, 2025
https://x.com/WorldUnivAndSch/
https://x.com/WUaSPress/
https://x.com/HarbinBook/
https://x.com/scottmacleod/
https://x.com/sgkmacleod/
https://x.com/Q_YogaMacFlower/
https://x.com/TheOpenBand/
Retweeting
Fei-Fei Li
@drfeifei
Very excited to share
@theworldlabs
‘s latest research work RTFM!! It’s a real-time, persistent, and 3D consistent generative World Model running on *a single* H100 GPU! Blog and live demo are available below!

Very excited to share @theworldlabs ‘s latest research work RTFM!! It’s a real-time, persistent, and 3D consistent generative World Model running on *a single* H100 GPU! Blog and live demo are available below! 🤩 https://t.co/Pj6z0CGXpj
— Fei-Fei Li (@drfeifei) October 16, 2025
https://x.com/drfeifei/status/
Retweeting -
World Labs
@theworldlabs
Generative World Models will inevitably be computationally demanding, potentially scaling beyond even the requirements of today’s LLMs. But we believe they are a crucial research direction to explore in the future of rendering and spatial intelligence.
Generative World Models will inevitably be computationally demanding, potentially scaling beyond even the requirements of today’s LLMs. But we believe they are a crucial research direction to explore in the future of rendering and spatial intelligence.https://t.co/zbTi4nmytt
— World Labs (@theworldlabs) October 16, 2025
https://x.com/theworldlabs/
@drfeifei
Very excited to share
@theworldlabs
‘s latest research work RTFM!! It’s a real-time, persistent, and 3D consistent generative World Model running on *a single* H100 GPU! Blog and live demo are available below!

Retweeting -
World Labs
@theworldlabs
Generative World Models will inevitably be computationally demanding, potentially scaling beyond even the requirements of today’s LLMs. But we believe they are a crucial research direction to explore in the future of rendering and spatial intelligence.
https://x.com/theworldlabs/
How generative world models work
- A vision model (encoder): This component processes raw sensory input from the real world, such as video frames, and compresses it into a smaller, more dense representation called a "latent space".
- A memory model (controller): Often an autoregressive model like a recurrent neural network, this component uses the compressed sensory input to update its internal, predictive model of the environment. It forecasts how the latent space will evolve over time based on an agent's actions.
- A generation model (decoder): This component translates the predicted future state from the latent space back into a realistic sensory output, like a video frame. This lets the AI visualize the outcome of its potential actions. [4, 5, 6, 7, 8]
Key applications
- Robotics: World models help robots practice tasks, predict the behavior of other objects and humans, and learn to navigate and interact with their environment safely in a virtual space before real-world deployment.
- Autonomous vehicles: By generating new, realistic scenarios like different traffic patterns or weather conditions, world models create synthetic data to train self-driving systems. This helps fill training gaps and reduces the risks of real-world road tests.
- Realistic video and 3D generation: World models can generate new and physically accurate visual content for use in video games, virtual reality, and other creative industries. Recent projects like Google DeepMind's Genie 2 and World Labs' RTFM are demonstrating the ability to create interactive and explorable 3D worlds from a single image or text prompt.
- Scientific and climate modeling: The technology can be used to generate simulations for complex systems, such as predicting climate changes or modeling molecular structures for drug discovery.
- Augmenting training data: For fields with limited datasets, such as robotics, generative world models can create high-quality synthetic data to make AI systems more robust and adaptable. [1, 2, 10, 11, 12, 13, 14]
Major challenges
- High computational demands: Training these vast neural networks requires immense computational power and is very resource-intensive.
- Difficulty modeling reality: Achieving a high degree of accuracy and consistency that reliably reflects the complexities of the real world is a significant hurdle. Evaluating a model's true understanding of the world is also challenging.
- Data dependency: The quality and diversity of a model's output are tied directly to its training data. Biases and inaccuracies in the training data can lead to skewed or unreliable outputs.
- Consistency and persistence: Models often struggle with maintaining consistent details and temporal stability over long interactive sessions, as seen in projects like Oasis.
- Ethical concerns: Like other forms of generative AI, world models face ethical issues regarding bias, data privacy, and the potential for misuse, such as creating deepfakes. [10, 13, 15, 16, 17, 18, 19]
* * *
https://youtu.be/Tk4YWniyN4o
!"Chris Thile Concert Bootleg | Glasgow, November 2022" concert
https://youtu.be/Tk4YWniyN4o as images of riding a #ScottishTrain flow by - @christhile (@clairecoffee & @BrookeGMcDonald) Will #WikiAdd to the #MandolinWUaS #openWikiSchool @WorldUnivAndSch - https://wiki.
Thile video -
!"Chris Thile Concert Bootleg | Glasgow, November 2022" concerthttps://t.co/jUp4LcsVeR as images of riding a #ScottishTrain flow by - @christhile (@clairecoffee & @BrookeGMcDonald) Will #WikiAdd to the #MandolinWUaS #openWikiSchool @WorldUnivAndSch - https://t.co/9ZMuBed8Hc ~
— WorldUnivandSch (@WorldUnivAndSch) October 21, 2025
Mandolin wiki page -
!"Chris Thile Concert Bootleg | Glasgow, November 2022" concert https://t.co/Eorlnr2yH2 as images of riding a #ScottishTrain flow by - @christhile (@clairecoffee & @BrookeGMcDonald) Will #WikiAdd to the #MandolinWUaS #openWikiSchool @WorldUnivAndSch - https://t.co/VkGRBhFXAI ~
— the Open Band (Berkeley) (@TheOpenBand) October 21, 2025
https://x.com/TheOpenBand/
https://x.com/scottmacleod/
https://x.com/Q_YogaMacFlower/
Chris Thile - Full performance (#Microshow for The Current) 2019
https://youtu.be/E_ulJz5QF7E
#ChrisThile: Field Recordings x #AspenIdeasFestival 2024
https://youtu.be/aKVbPsyU1IQ
#CST live from the MPR booth at the #MinnesotaStateFair 2016
https://youtu.be/UWkeHX0nUM8 ~
#WUaSmandolin !
https://x.com/scottmacleod/
https://x.com/TheOpenBand/
*
https://youtu.be/Tk4YWniyN4o
*
Chris Thile - Full performance (#Microshow for The Current) 2019
https://youtu.be/E_ulJz5QF7E
#ChrisScottThile: Field Recordings x #AspenIdeasFestival 2024
https://youtu.be/aKVbPsyU1IQ
#CST live from the MPR booth at the #MinnesotaStateFair 2016
https://youtu.be/UWkeHX0nUM8 ~
#WUaSmandolin !
https://x.com/WorldUnivAndSch/
https://x.com/scottmacleod/
https://x.com/TheOpenBand/
*
Thule, Chris. 2024.
Chris Thile: Field Recordings x Aspen Ideas Festival 2024
https://youtu.be/aKVbPsyU1IQ
Aspen, CO: https://www.youtube.com/@
Chris Thile - Full performance (#Microshow for The Current) 2019
https://youtu.be/E_ulJz5QF7E
https://youtu.be/UWkeHX0nUM8
Thile, Chris. 2024. [https://youtu.be/aKVbPsyU1IQ
Thule, Chris. 2016. [https://youtu.be/UWkeHX0nUM8
*
https://youtu.be/wf5OdU_H47E
--
* * *
What do Angela Farmer and Victor van Kooten teach re Yoga and the inner body, & going into feelings Yoga-wise & per http://scottmacleod.com/
Yoga ideas

*
https://en.wikipedia.org/wiki/Nepenthes_northiana
https://commons.wikimedia.org/wiki/Nepenthes_northiana
https://commons.wikimedia.org/wiki/Category:Nepenthes_northiana
https://species.wikimedia.org/wiki/Nepenthes_northiana
Marianne North's painting of N. northiana, showing a lower and an upper pitcher
...



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