Kimera System’s “Nigel” Artificial General Intelligence (AGI) technology will be an amazing step forward for humanity, providing countless real world applications that will change the way humans live and interact with each other.

Of course, the potential benefits for AGI in the long term will be helping humanity find answers to the big questions that still stump the human mind, including figuring out cures for cancer and other medical and scientific breakthroughs. It will also disrupt the status quo in the financial sector, and big industry will find significant gains through the implementation of AGI technologies.

But, to be embraced by the global populous, there needs to be an understanding of what benefits such a technology would bring to the lives of regular, everyday people, as they go about their normal routines.

In one of Nigel’s early beta tests - the cinema beta test - it was seen that Nigel could use sensor data from mobile phones to create Cause and Effect ’subnets’, which effectively allowed it to understand a relationship between people going to a cinema (Cause) and subsequently muting and/or dimming the brightness of their mobile phones (Effect).

This particular subnet was fairly shallow, as there are only a few different options that people will do with their phones when they enter a cinema.

Cause:

Enter cinema (geolocation of phone)

Effect:

Mute phone

Mute and dim phone

Dim phone

Increase volume

Increase volume and dim phone

Do nothing

Nigel quickly (3 days) understood this relationship and began to proactively mute and dim phones as the moviegoers entered the cinema.

However, Nigel is capable of so much more. It simply needs sufficient data to build deeper subnets and find the relevant Cause:Effect pairings that have the highest probable relationship with the truth. Over time, Nigel learns what is a true pairing and what is a false pairing. Through the use of tested hypotheses, Nigel builds a database of knowledge that grows stronger and truer as more data gets analysed.

Amazingly, this knowledge is individualised on a person-to-person basis through the use of the Nigel Agent. What is true for one person is not necessarily true for another, and Nigel can understand this, providing personalised assistive technology regardless of the user.

Outlined below are several Use Case Scenarios that will allow the reader to see just how useful a Nigel AGI would be in the everyday lives of our future selves.

Scenario 1 - Learning Personal Routines

Let ’s look at the way people use their mobile phones in everyday life. People can use their phones for a plethora of different activities, from making a call, listening to music/radio, watching a video. Many people have routines as to when and where they do each of these things.

We’ll look at one simple aspect of phone use - using headphones - which requires a Cause (plug in the headphones) so that Nigel could then look at what Effects happen from that point.

Examples:

- As John leaves the house to walk to the bus stop, he may plug in his headphones and listen to morning radio.

- When Jill gets onto the treadmill at the gym, she may listen to her ‘power song’ each morning.

- At 5pm, as Joanne leaves work, she may call her mum to check on her and chat about the day.

Each cause|effect pairing add depth to Nigel’s knowledge about you. Given sufficient data, Nigel would eventually reach the necessary confidence levels to produce hypotheses.

So, ideally, if the above three examples reached a point where Nigel sent hypotheses to the owners’ devices, the act of plugging in the headphones could cause the hypothesis to be implemented and trigger the effect automatically.

Of course, imagine if all three examples were the same person at different times and locations of the day. THAT would show a level of intelligence, to determine which effect to trigger.

Scenario 2 - Helping Achieve Goals

You have a wedding to attend, but you need to lose some weight to fit into your outfit in the wardrobe.

Assumptions: The Nigel Agent has been with you long enough to gain an understanding of:

- your food likes and dislikes

- physical/exercise limitations

- cooking skills (or lack thereof)

- time available

“Hey Nigel, I’ve got a wedding to attend in 6 months and I need to lose 20 pounds. Sort out an eating and exercise plan and put everything in my calendar. Thanks”

Next thing you know, your calendar is filled with various exercises, meal plan and a shopping list appears.

Additionally, knowing it is your goal to lose the weight, Nigel would act like a virtual Personal Trainer, nagging you if you started to slack off.

Scenario 3 - Saving You Time and Money

Car Sharing

No, NOT ride sharing - CAR sharing!

Cars are expensive, and for most of their lives, they sit around doing nothing. Once we live in a time where autonomous vehicles share the road with us and can move about without drivers, then the potential cost savings for vehicle ownership become obvious.

Once Nigel gets embedded in automated-vehicle computer systems, if would be possible for several people to share the cost of a vehicle purchase and let Nigel coordinate the vehicle usage to best manage the needs of the owners.

The car could relocate by itself to ensure owners are picked up as needed.

And, if the owners created a sort of ‘vehicle body corporate’ fund, in the case of an unavoidable scheduling clash, Nigel could arrange a taxi for the most economical arrangement, and pay for the taxi out of the fund.

The fund would also cover registration and vehicle insurance costs.

Think about how often your car sits around unused. By sharing the vehicle with others, it reduces downtime.

If you only had to pay for 20% or 25% of the vehicle costs, you would save a fortune.

You could also use it to generate income when none of the owners needed to use it.

There could also be a prioritised user list, where a person who pays for a larger share of the vehicle cost gets first priority at using the vehicle.

Scenario 4 - Growing Up with a Nigel

Let’s move forward in time again, to a point where sensors are being integrated into furniture, clothing, toys - basically anything that people interact with, that if touched or moved, would provide sensor data to the Nigel AGI.

From the moment a child is born, their new Nigel Agent is ‘bonded’ with them. To begin with, the baby is simply fitted with clothing that contains an array of biometric and other sensors, allowing its Nigel Agent to monitor:

body/ambient temperature,

heart rate,

sleep patterns,

movement,

location,

sound,

etc.

The Nigel Agent could alert the parents to unsafe changes to any of the sensor data.

Eg. If the baby develops a fever.

As the baby reaches an age where it can interact and play, additional sensors built-in to advanced interactive toys could be introduced to the child, which would function as a parental assistant and help the parents in developing:

hand-eye coordination,

colour recognition,

learning multiple languages (which is, by all accounts, easiest to do from a very young age)

etc

From this point, the Nigel Agent will begin to monitor the child, to discover what interests/talents the child has, and make recommendations to the parents about how they may best create an environment to foster those talents.

Conclusion.

These are just a handful of possible Future Use Cases for the Nigel AGI. You, the reader, would no doubt have some thoughts of your own. If you put your mind to it, there will be millions of possible use cases.

The Kimera team would love to hear about any Use Cases you come up with, so feel free to join in the conversation on the Telegram Channel: https://t.me/kimeraAGI

More information about the project can be found on the Kimera website: https://kimera.ai

If you’re looking for other article reviews by this author, please check out this Telegram channel: https://t.me/aussiesloth_ico

Proof of ownership - ETH address: 0xcE497066921f8aE00d1128d8B9cA105f025DF210