The hottest Virtual reality Substack posts right now

We all perceive reality differently and use various tools like language and art to find common ground for socialization and collaboration.
The advancement in technology, especially digital devices, has reshaped the way we interact with and perceive time, impacting our concepts of reality.
The rapid evolution of digital technologies like AI and VR is challenging our understanding of time and reality, highlighting the importance of cultural adaptation and cooperation in managing multiple realities.

The concept of the metaverse isn’t dead, even if interest has cooled. Companies like Meta are still launching new VR devices to keep the idea alive.
Meta recently introduced the Quest 3 headset, which features advanced technology like improved video passthrough and greater processing power.
Apple is also entering the VR space with their upcoming Reality Pro headset, promising high-resolution visuals and new software to enhance user experience.

AI can create images and videos, which may lead to new uses like generating stock photos or even personalized content such as virtual travel experiences.
Music and art can also be produced by AI, allowing for original compositions and visual pieces that follow current trends, even if they lack true originality.
Future applications of AI could include cooking new recipes, giving fashion advice, or even creating customized entertainment like virtual pets or personalized adult content.

By 2025, language models will be widely used in various jobs, and people will interact with them more through voice than text.
By 2030, most workers will rely heavily on language models for their tasks, and virtual experiences will become common in entertainment and daily life.
By 2040, AI will advance significantly, resembling human brain functions, and many jobs will be automated, with a focus on supervision rather than direct labor.

There are new methods in AI for creating 3D clothing try-ons that use something called Gaussian Splatting. This could change how we shop for clothes online.
Researchers are finding new ways to improve deepfake detection, which helps identify fake images and videos. This is important for keeping information trustworthy.
A technique called AutoLoRA helps make AI models create better quality images while also maintaining diversity. This could lead to more creative and interesting results in image generation.

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A new method called MIMO helps create full-body human avatars using AI, making videos look more consistent and lifelike.
A system called DreamWaltz-G can generate 3D avatars from 2D images by combining skeleton data and advanced diffusion techniques.
There are ways to improve AI image generation by fine-tuning existing models, helping them create more realistic images, like fixing issues with images of people lying down.

Meta has created a new dataset called HOT3D to help with research on how humans interact with objects using their hands. It's designed to improve technology in areas like robotics and virtual reality.
The HOT3D dataset is large, with over 833 minutes of video from different angles, showing various tasks with hands and objects. This helps researchers understand interactions better.
The dataset provides detailed information, like 3D poses and eye tracking, which makes it very useful for developing new computer vision and machine learning applications.