#PersonalAI

kris krügkriskrug
2025-03-08

It will know you better than your spouse, challenge you more than your best friend, and guide you better than any mentor. South by Southwest is where we start designing these relationships intentionally.

VIDEO - Libraries in Response Session 116 - 'Internet 2025 with Vint Cerf'

SPEAKERS
Vint Cerf- Founder / Chairman Emeritus, People-Centered Internet (PCI)
Richard Whitt - President, GLIA Foundation

MODERATOR
Don Means - Director, Gigabit Libraries Network

#LibrariesInResponse @vgcerf @PCI_Initiative @richardswhitt @donmeans @GigLibraries @IFLA #digitalpreservation #personalAI isoc.live/18788

Johannes Ernstj12t@j12t.social
2024-10-28

At #VRM day in Mountain View, CA, today.

The room is packed! Lots of people here probably because #consumerreports is talking about #personalAI.

2024-10-27

Making better technical and architecture decisions with KIN

makertube.net/videos/watch/b9d

2024-10-06

How personal ai could looks like and what kind of ethical framework it is need

makertube.net/videos/watch/943

medium.com/ai-in-plain-english

#smalldata could be used as a curated data set to tune more precise and specialized models. It is open the door to a #personalai and #privateai

#smalldata is not new, but #softdata in a #smalldata set is relatively new.

Your ideas, journals, and emotions is are key to the explainability of your hard data points

Adontai M.adontai
2024-03-26

I'm continuously enhancing and refining the data in my possession.

Adontai M.adontai
2024-03-23

Now, our beta is available for everybody after registration! mykin.ai #personalai #private #ai

Ottavio Fogliataottfogliata
2023-08-15
2023-07-23

lmao I asked personal AI to tell me about people in my system (keep in mind I'd uploaded very little about them, a couple of documents so far.) It comes out making up random people, with personalities, and I'm sitting here like what? I told it that sadly, there was nobody like that in my system. it didn't respond. #AI #PersonalAI #plural

2023-07-13

Yesterday chatGPT was down, yet again, so I browsed through the web looking for other Large Language Models to experiment with. In the process I came across personal AI. Personal AI is an app, at the moment, that runs on your laptop, but will eventually come to mobile phones and more.

The premise is simple. You tell the AI things about you, and it then returns answers based on what you told it. You can chat with it and it will give a response based on what you tell it.

If you tell it that you have an Apple Watch and that you use it everyday it will remember this. It can be quite slow and tedious to teach it by long winded conversations.

If you want to save time you can feed it documents. I played with this. I gae it three or four letters of motivation that I wrote, as well as my CV and some comments about work I did, and with time it learns about you, and can give more specific information.

It gives a personal score to the information it receives. It’s judging how personal the information that it receives or delivers is.

The idea of this AI is to act as a personal assistant and give answers that are true to your character, without you having to reply, because it has learned about you. The more you share with it, the more concise the answers will be.

what I’d Like To See

As I played with this AI I felt that giving it information is time consuming. I could share access with Google Drive but I am not sure, how, and where it stores my data. I prefer not to take that risk.

I would love to be able to feed xml and json files to this AI. I would love to give this AI the XML file from my blog, that reflects my thoughts for decades now. I would like to be able to feed it my dive log as well, so that it can answer questions about diving.

Personal Language Models and Large Language Models

Most AI is built around Large Language Models. They ingest entire books, websites, in fact entire libraries and more. They ingest information from Reddit, Twitter and plenty of other sites. They ingest the knwowledge from plenty of sources and can give general answers about almost anything. The G in GPT is for ‘General’.

The Personal Language Model is different. It is a specialist data set that knows about you, as an individual, rather than everyone. It learns about what you like, dislike and more. It learns what you want it to know about you. It can then answer, in your place, when you decide to share it.

When reading about where the data is stored in the Privacy section I came across that it is stored in the cloud using standard level encryption via [Oasis Labs], a company based in San Francisco. I would like to be able to store that data in Europe instead.

Privacy Concerns

At this moment in time I would not train this AI with data that is not public. That’s why a dive log and a blog are fine for training, but I wouldn’t give it access to Google Docs or other sources of information. I don’t trust that a data centre in the US values my data privacy highly enough. I would prefer to have that data in Europe.

The Cost

Although Personal AI is free to play with and experiment with, it has a professional teer at 40 USD per month or 400 per year. It has limited access to ChatGPT with the free version and priority access with the pro version.

The Quantified Self and Personal AI

The project is still young but I would love to see integration with xml and json import for dive logs, blogs and fitness apps. With these three sources of information AI could learn much more about us, with less effort. It has a lot of potential. To open up that potential we need it to ingest data more efficiently.

Two Profiles by default

Personal AI starts with two profiles by default, the personal, and professional profiles. You can train two personas if you wish too. One AI silo is for your professional self. In this silo you can tell it about where and when you worked in different places and it will be seperate from the personal AI. If you want to keep other information in the personal silo, but not the professional silo you can do this too.

And Finally

In the near future our devices will constantly be learning about us, and as they do they will be able to answer certain questions instead of us. As they know more, they will be more relevant. There are concerns about privacy but we can choose whether to allow AI to access everything we do, or restrict it. I won’t trust it with IM and more but I will trust it with blog posts, CVs, motivation letters and more.

For now it’s a fun toy to play with, and learn about.

#ai #artificial-intelligence #personal-ai

https://www.main-vision.com/richard/blog/personal-ai-your-personal-language-model/

M DellMndell
2023-05-07

Pi, your personal AI heypi.com/talk

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