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Pinging @stevenbyrnes : do you agree with me that instead of mapping those protoAGIs to a queue of instructions it would be best to have the AGI be made from a bunch of brain strcture with according prompts? For example "amygdala" would be in charge of returning an int between 0 and 100 indicating feat level. A "hypoccampus" would be in charge of storing and retrieving memories etc. I guess the thalamus would be consciousness and the cortex would process some abstract queries.

We could also use active inference and bayesian updating to model current theories of consciousness. Even use it to model schizophrenia by changing the number of past messages some strctures can access (i.e. modeling long range connection issues) etc.

To me that sounds way easier to inspect and align than pure black boxes as you can throttle the speed and manually change values like make sure the AGI does not feel threatened etc.

Is anyone aware of similar work? I've created a diagram of the brain structures and its roles in a few minutes with chatgpt and it seems super easy.

This reminds me of an idea : I think it would be great to hold a bi-monthly competition where people try to do something as incredible as possible in just 30 minutes using LLMs or other AIs. The winner being decided by a select few.

To reduce my sleep inertia I've created an app for my 25$ micropython smart watch (Pinetime from Pine64). Here's the link: https://github.com/thiswillbeyourgithub/sleep_tracker_pinetime_wasp-os

Aside from the motion tracking, it's able to vibrate very faintly at T minus 10 minutes, 7, 5, 2, 2, 1, 0.5 minute from waking up. Then vibrates gradually to wake me up gently.

It also automatically tells you when you should set your wake up time to optimize sleep cycle.

I think it works very well but I'm very biased.

My personnal solution to this is to mostly use Anki for everything and anything.

  1. It helps not loose my momentum: if I see my cards about the beginning of the articles about transformers it increases my chance of finishing the article
  2. It garuantees that I never get the dreaded my knowledge is limited to a couple of related keywords ("self-attention", "encoder"/"decoder") with no real gears-level understanding of anything. feeling. Making it all the more easier to get back to reading.

In fact I hate the number 2 feeling so much that it was a huge motivation to really master Anki. (1300 day streak or so with no sign of regret whatsoever)

I think very cheap carabiners are extremely fragile especially for repeated use. I saw a failing mode where the mobile axis just opens in the wrong way by going around the stator. Keep that in kind when choosing which carabiner to use.

Might be better to keep using ring keyholders but have one decently strong carabineer to hold the rings together instead of what you did : tiny carabiners that hols onto a ring no?

Answer by bvbvbvbvbvbvbvbvbvbvbv10

I don't really like any of those ideas. I think it's really interesting that aware is so related though. I think the best bet would be based on software. So something like deepsoftware, nextsoftware, nextgenerationsoftware, enhancedsoftware, etc.

For ayone trying to keep up with AI for film making, I recommend the youtube channel curious refuge https://www.youtube.com/channel/UClnFtyUEaxQOCd1s5NKYGFA

Also, velcro comes in many strength and sizes. I find heavy duty velcros to be frequently underused in such DIY projects

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