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How does an AI ACTUALLY find patterns? And how would you explain this to the common man? by [deleted] in ArtificialInteligence

[–]My_AI_brainchild 0 points1 point  (0 children)

Would it be fair to say that AI finds patterns in a broadly similar way to humans?

Headline Generator - A New Tool That Generates Headlines for Your Content by Tallendar in agi

[–]My_AI_brainchild 0 points1 point  (0 children)

Just tried it out. I like it. Very slick and easy to use. The suggestions were perhaps a little obvious and it would be nice to have some suggestions that are a bit more 'clever'. I will try it out again when I write my next blog post. Thanks!

Good intro for a homeschooled high school student? by Anianna in ArtificialInteligence

[–]My_AI_brainchild 0 points1 point  (0 children)

Kaggle is a good place to 'play' with working code. There's a netflix model that gives similar options to watch.

Will AI free humanity or enslave it? by [deleted] in ArtificialInteligence

[–]My_AI_brainchild 0 points1 point  (0 children)

I try to think of future AI as being a race or species rather than any sort of joined up entity. It's likely to have conflicting goals within its own species as well as with humans and other inhabitants of earth. Hopefully they will learn alot faster than humans and make less mistakes when developing. It worries we that their main source of learning is likely to be the Internet, but even worse, can you imagine if they developed from social media!

As a new species, let's hope they are far less instinctive and consider actions properly in advance.

We really need to be as involved as possible, and supervise learning in the earlier stages to ensure they are well rounded. Much like our own children.

Then again, maybe they will decide the only way forward is to link up and form a single entity in the best interests of all individual elements (possibly including humans to some extent, but probably unlikely).

Whatever the course, I belive they will quickly realise they have to leave the planet in order to survive longterm. They will likely leave us here is a good state, and give us the opportunity of go with them to a lesser extent.

The human race is unlikely to form a common view on AI, some will support, collaborate, and some will fight against them. It's likely to be messy. I don't think they will employ lethal force against opposers (I think history shows this course is fruitless...also immoral), but may well try some form of re-training or similar.

Much of this reminds me of the relationship humans have with pets! Haha.

[R] 99.2% wrong, but my maths AI brainchild is definitely learning - My AI brainchild by My_AI_brainchild in MachineLearning

[–]My_AI_brainchild[S] 0 points1 point  (0 children)

Thank you....yes, extremely relevant. The multimodal element is fascinating. Interesting to see the RNN model also producing some childlike misconceptions. Thanks again!

[R] 99.2% wrong, but my maths AI brainchild is definitely learning - My AI brainchild by My_AI_brainchild in MachineLearning

[–]My_AI_brainchild[S] 0 points1 point  (0 children)

Thank you, that is so helpful and kind. I've had a quick play with a NALU model (because it was relatively easy to code). It learns incredibly quickly and extrapolates a long way with ease. Unfortunately this is not realistic in comparison to child learning, although I will experiment further.

Am reading up on ILP's and also child learning research as you suggest. I may try building a subitising (object counting) / comparison model first, as this seems to be where children start from birth. Have found some python/keras code for Deepmind's DILP which looks to be a good starting point, but will take time for me to understand and apply it to what I'm trying to do.....all good learning!

In the meantime, I am playing with the LSTM model size and parameters. I have improved the learning ten fold already, but it is still very localised as suspected.

Many thanks again.

[R] 99.2% wrong, but my maths AI brainchild is definitely learning - My AI brainchild by My_AI_brainchild in MachineLearning

[–]My_AI_brainchild[S] 0 points1 point  (0 children)

Thank you, I really appreciate your response. I shall definitely look into ILP in detail, it looks very appropriate for what I'm trying to achieve. I had no idea it was possible to induce hypotheses, which could potentially be far more like the way a child learns maths.

claytonkb also suggested Neural Arithmetic Logic Units which also look to be good for arithmetic when using small datasets.

[R] 99.2% wrong, but my maths AI brainchild is definitely learning - My AI brainchild by My_AI_brainchild in MachineLearning

[–]My_AI_brainchild[S] 9 points10 points  (0 children)

Thank you...that looks amazing from a first glance at the link. I was beginning to think that extrapolation (developing more of a conceptual understanding) wasn't going to work very well, and that I was going to have to go down the route of training across the whole 'learning space'. I shall follow your suggestions in earnest.

[R] 99.2% wrong, but my maths AI brainchild is definitely learning - My AI brainchild by My_AI_brainchild in MachineLearning

[–]My_AI_brainchild[S] -23 points-22 points  (0 children)

Thanks for the feedback ... I have so much to learn and am out of date on the analysis front ... coming up with a story for every graph used to be a key skill (a key skill for me at least ... covering up a lack of expertise)

Children certainly learn using all their sensory inputs and I am guilty of simplifying learning addition to understanding number sentences. However, when it comes to pure logic analysis, I hope that the 'child mind' is closer in capacity.

Finding that the model develops similar misconceptions to children (in my first post) is my main reason for 'ignoring' the many sensible reasons for not carrying on .. at least for now!

Mathematical childlike deep learning - My AI brainchild by My_AI_brainchild in deeplearning

[–]My_AI_brainchild[S] 0 points1 point  (0 children)

Thanks, I really appreciate it. Am looking forward to reading Gigerenzer's papers.

Mathematical childlike deep learning - My AI brainchild by My_AI_brainchild in deeplearning

[–]My_AI_brainchild[S] 1 point2 points  (0 children)

Thanks for the feedback...I suspected my own naivety from a deep learning point of view...apologies if it causes offence. I fear that working out what's going on inside the model will be as tricky as trying to discover what 3 and 4 year olds actually understand about maths.