Pioneering physical AI with Archetype AI’s Ivan Poupyrev | E1951
18 May 2024 (4 months ago)
Ivan Poupyrev of Archetype AI joins Jason.
- Ivan Poupyrev, CEO and founder of Archetype AI, joins Jason Calacanis on the podcast.
- Archetype AI introduces "Physical AI," a concept that bridges the physical world with AI.
- Newton is the first-of-its-kind AI model created by Archetype AI that understands the physical world.
- Newton integrates sensors with machine learning, allowing sensors to input data for analysis.
Demo of Archetype AI's product, Newton, which interprets and processes motion data
- Archetype AI's physical AI, Newton, interprets sensor data to understand the physical world.
- Newton can track packages and detect mishandling events without retraining.
- Unlike chatbots, Newton focuses on understanding and reporting behaviors in the physical world based on user prompts.
- Newton produces visual outputs, making it suitable for environments where textual representation is not ideal.
- Newton uses AI to provide visual overlays or heat maps based on GPS data.
- Newton can highlight specific objects in a video and change focus based on text commands.
- One potential use case is for fleets of vehicles to receive dynamic map updates based on real-time semantic understanding of the physical world, helping them avoid traffic congestion or other issues.
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- Ivan Poupyrev, the founder of Archetype AI, is a pioneer in the field of physical AI.
- Physical AI combines the digital and physical worlds to create interactive experiences.
- Archetype AI is developing a platform that allows users to create physical AI experiences without any coding or 3D modeling skills.
- The platform uses a visual programming language and pre-built modules to make it easy for users to create interactive experiences.
- Archetype AI's goal is to make physical AI accessible to everyone, from artists and designers to engineers and scientists.
- Poupyrev believes that physical AI has the potential to revolutionize the way we interact with the world around us.
Exploration of potential business model and use cases for Archetype AI
- Archetype AI's Newton model is a closed-source physical AI model that can use sensor data to solve real-world problems.
- The company is training the model for cameras, audio, time series, and AR (Radars) data.
- Archetype AI is collaborating with various industries, including automotive, consumer electronics, and construction, to apply the Newton model to specific problems.
- The company believes self-driving cars will eventually be developed but cannot predict the timeline.
- Archetype AI's physical AI combines direct sensing, contextual understanding, and large language model reasoning to address complex challenges like self-driving cars.
- Training data comes from partners, open-source sources, and customer-specific data for fine-tuning.
- Factories, with their complex environments and abundant data, present an early use case for Archetype AI's technology to enhance efficiency and safety.
- A semiconductor company with machines equipped with numerous sensors aims to reduce false alarms and downtime using Archetype AI's technology, leading to potential cost savings.
- The technology can identify and correct incorrect data in real-time, saving time and money in manufacturing processes.
- It can monitor and maintain precise machines, such as factory equipment or printing presses, preventing downtime and waste.
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Use cases in aviation, military, and automotive industry
- Complex machinery such as airplanes, battleships, and cars generate vast amounts of sensor data.
- Analyzing this data can lead to insights for accident prevention, efficiency improvements, and product design.
- The automotive industry is particularly interested in AI for data processing and analysis.
- Sensors deployed in factories, rainforests, oceans, and other environments can provide valuable data for environmental monitoring.
- This data can be used to understand and address issues such as global warming, deforestation, and pollution.
- For example, analyzing vibration data from windmills can enable predictive maintenance and optimize performance.
- Robots like Boston Dynamics' Atlas and Optimus are equipped with numerous sensors.
- As these robots become more prevalent, they could potentially map the entire planet and provide valuable insights.
- Perfect mapping, as seen with GPS, has already had a profound impact on society.
The connection between robots and artificial intelligence
- Robots equipped with sensors can provide vast amounts of data about the world.
- This data can be used to predict future events and optimize various systems, such as energy consumption and traffic control.
- This can lead to improved decision-making and better quality of life.
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The evolution of sensor technology and its role in AI
- Archetype AI, led by Ivan Poupyrev, is developing physical AI to analyze and optimize complex construction projects in collaboration with a major Japanese construction company.
- The increasing complexity of construction projects generates vast amounts of data that can be analyzed by AI to reduce waste, increase speed, and lower costs.
- Physical AI combines sensors, storage, AI, and Transformer space models to predict and understand the future.
- Physical AI can be used in healthcare to monitor health, such as continuous glucose monitors, heart rate monitors, and pulse oxygen levels, and can use motion as a new vital sign to measure the success of healthcare interventions.
- Physical AI can also be used in homes and buildings to monitor and control systems such as humidity, water, temperature, and air conditioning.
- Archetype AI's first product was a radar sensor that could be put into phones, air conditioners, and other devices, and their last product at Google was a sleep monitor that used radar to measure how well people sleep.
- Radar technology can be used to monitor human movement, breathing, and heart rate without compromising privacy, and radar-based baby monitors can detect sudden infant death syndrome (SIDS) and alert caregivers.
The pace of technological innovation and the future of anticipatory interfaces
- Combination of sensing data and artificial intelligence is exciting.
- Anticipatory interfaces can solve problems before they arise and support people before they ask.
- Disney's focus on narrative and magic creates a magical experience by anticipating and delighting visitors.
- Extreme personalization of products and experiences is possible with sensing and prediction.
- Current mass-produced products are designed to fit everyone, but personalization allows for products that work specifically for each individual.
- The Minority Report film showcased personalized ads and interfaces that tailored to each person's preferences.
- Ads on the internet are highly customized based on user preferences.
- Public API or developer kit for Archetype AI's technology is not yet available, but it is planned for the future.
Future plans for Archetype AI, hiring and partnership opportunities
- Currently focusing on building core technology.
- Design partner program is open for companies to join and collaborate on pilot cases.
- Aiming to open the platform to a broader audience once pilot cases demonstrate value while preserving platform generality.
- Users will be able to connect their own sensor data, such as from mobile phones or IoT devices, to the model and try it out themselves.
- More information available on the Archetype AI website.
- Hiring opportunities available, visit the careers page on the website.