I loved sharing streamdiffusion at SXSW! So cool seeing ppl explore realtime image gen for the first time ~ We co-discovered so many lovely pockets, tons of embodied play while I livetuned parameters Fascinating how ppl responded to more-humanoid forms vs overall composition

Introducing the 01 Developer Preview. Order or build your own today: openinterpreter.com/01 The 01 Light is a portable voice interface that controls your home computer. It can see your screen, use your apps, and learn new skills. This is only the beginning for 01— the

Experiments with Stable Diffusion x Touch Designer

Our vision is to encode the entire physical world using a variety of sensor data, to go beyond text and images to radars, accelerometers, and other sensors. This will allow us to transcend the limitations of human perception and help humanity to make sense of the world around us.

Source WIRED: wired.com/story/plaintex…

Newton, a so-called large behavior model, integrates diverse data types to understand the physical world and solve complex problems. hackster.io/news/the-path-…

From the latest episode with Ivan Poupyrev from Archetype AI The idea is simple but revolutionary: -- using sensor data, similar to how humans observe the physical world through our biological sensors -- to let machines 'talk' to the physical world. In the case of packages, this

We are experimenting with predicting and recommending future actions by observing user activity. Here, Newton recommends the next steps for making coffee👇. We see many use cases for #PhysicalAI in guided maintenance, work order analysis, and other future predictive applications.

experiments in light & shadow #generativeai #midjourney

【本日発売】雑誌『WIRED』日本版 VOL.53「Spatial × Computing 空間コンピューティングの“可能性"」 情報や体験が「スクリーン（2D）」から「空間（3D）」へと拡がることで、個人や社会は、今後、いかなる変容と向き合うことになるのか。 その可能性を、総力を挙げて探る！ wired.jp/magazine/vol_5…

github.com/mikelikesdesig…

1/ Research spotlight: When AI becomes part of our environment, how do we interact with it? In 2022, Archetype AI team members leonardogiusti, Lauren Bedal, Ivan Poupyrev co-authored the paper "Fields: Towards Socially Intelligent Spatial Computing." Here are their top insights:

3/ The Fields framework applied to Physical AI enables intelligent devices and environments to respond to both physical proximity and nonverbal communication cues, creating more intuitive AI interfaces that better understand user intent.

1/ "With AI, we're headed towards the emergence of something that we are all struggling to describe, and yet we cannot control what we don't understand," says Mustafa Suleyman. Here is why metaphors for AI interaction matter:🧵

Come see METHOD today! Our gallery is free and open to the public Thur-Sat, 10am to 5pm. Learn more about this exhibition that centers technology, ecology, and embodiment: angelsgateart.org/exhibitions/me… Lauren Bedal Lauren Bedal Metallic Angel, 2023. Movement capture, digital filtering.

1/ We are excited to share a milestone in our journey toward developing a physical AI foundation model. In a recent paper by the Archetype AI team, "A Phenomenological AI Foundation Model for Physical Signals," we demonstrate how an AI foundation model can effectively encode and

Archetype AI published a new paper demonstrating how an AI model can encode and predict physical behaviours. Newton, the startup's ‘Large Behavior Model’, can learn complex physics principles directly from raw sensor data, without any human guidance.

1/ We put Newton, our physical AI model, against Google and OpenAI to see how well they can grasp basic spatial concepts. Next up, we will compare them to DeepSeek! First things first: do these three models understand proximity, e.g., what "near" means? ✅ Newton passed.

Thanks to California College of the Arts for inviting Lauren Bedal, Design Lead at Archetype AI, to join the panel on the future of AI and design. "Now AI models can understand and generate across text, image, and audio, there is a foundation for new multimodal capabilities. At Archetype AI,

Gen Z founders are on another level. - Alex Nguyen → 18, $19.5K/mo from Notewave - Zach Yadegari → Cal AI, $2M MRR - Siya 🍯 → 18, Genppt (acquired) - Wilson Wilson → 20, Senja, $70K MRR - Rexan Wong → 17, 400K+ users - Desmond → $100K from B2C app - Khushh ⚡️ →