How AI may Develop On-Body: A Step-by-Step Guide
Author: Olaf Zanger, updated 26.02.2023
How AI Develops On-Body: A Step-by-Step Guide
AI technology has already made great strides in improving photography and video, as well as in text-, face-, and object-recognition. However, the future of AI involves much more personalized and body-integrated systems that will be an central part of our daily lives.
The development of such AI-Cortex systems will require improved input and output facilities, computing power on the device, and in the cloud, as well as real-time processing with high privacy that happens on the device.
In order to achieve this, the next few years will see an increase in I/O development to produce more direct and optimized answers with less interaction required. New technology such as Apple Glasses and Neuralink will allow for improved output methods that are less intrusive to others, while input will still occur through microphones, eye blinks and finally neuralink.
While AI compute power on smartphones growths, the quality of specialized AI, like GPT-3 will level out at a certain amount of neuronal parameters and the respectively needed compute power. We will see chatGPT quality models running on Smartphones by 2030.
Currently, AI models such as GPT-3 run on large machines with 3.6 PetaOpsAI that cost around $200,000 and are located in data centers. However, Facebook has released a smaller model, LLaMA, which may soon run on the Full Self Driving computer of Tesla.
Action points for the reader
Experiment with AI computing by trying out tools like chatGPT and MidJourney to gain practical experience.
Explore the potential of augmented reality by using the capabilities of the iPhone Pro and iPad Pro.
Consider the privacy implications of AI, especially as it becomes more integrated into our daily lives, and take steps to protect your personal data.
Learn about brain-machine interfaces and the potential for future integration with AI, such as Neuralink, to stay informed about the latest advancements in the field.
Overall, it is clear that the future of AI involves much more personalized and integrated systems that will require improved input and output facilities, computing power on the device, and in the cloud, as well as real-time processing with high privacy that happens on the device. To stay ahead of the curve, it is recommended that individuals get hands-on experience with AI computing and augmented reality, through platforms such as chatGPT, MidJourney, and the iPhone Pro and iPad Pro. In the long term, it may even be possible to trigger AI systems through brain-machine interfaces such as Neuralink.
May Elon give the world of research a "FSD in a backpack" powered by an e-bike battery.