Case Study

Personal AI for complex task support, coaching and companionship

Overview

The limitations of current assistive AI are they are ‘horizontal,’ and lack depth. They can tell you the weather or order pizza, but they can't talk to you about your goals, support a complex task, or manage your daily life. They have no emotional IQ and they function as highly skilled ‘question-answer machines.”

They can perform ‘single turn’ requests like “turn on the music,” analyze a lot of data and come up with a single solution to a specific question, but they cannot perform complex tasks nor reason like a human. They cannot form and maintain a deep relationship, or understand our goals.

The Challenge

Large Language Models have significant limitations. They focus on inputs and outputs and need brute-force learning. They have no true understanding of what they are doing, are expensive to run, and only address shallow use-cases (question-answer, or single turn prompt->output.)

GEAR focuses instead on true meaning, event trajectories with multiple steps, achieving state-based goals; and understanding an individual human and the environment they are in.

How Akin Helped

In the Space sector, Akin has developed an advanced ambient habitat manager, robots capable of complex task support alongside humans, and a personal AI companion for long-duration social companionship and wellbeing support.

In Frontier Model R&DWe are benchmarking our AI systems for future roles in human cognitive augmentation, autonomous adaptive reasoning, complex task support, ability to operating with high efficacy in environments with minimal data dependency; and potential for future alternate computing systems like Quantum Computing.

Quote

“… in the coming years we hope to use the AI to create a smart lab assistant for scientists, as well as a robot that could be deployed on long-duration space flights to not only help astronauts detect and manage problems in their environment but also be a companion to them during what can be a lonely period…” *

Tom Soderstrom
NASA Jet Propulsion Lab IT CTO 2006-2020

AFR, MIT technology review

https://www.technologyreview.com/2020/01/14/64990/an-emotionally-intelligent-ai-could-support-astronauts-on-a-trip-to-mars/