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[D] What AI topics are you curious about but rarely see in the spotlight? (alien.top)

submitted 10 months ago by GratefullyFriendly73@alien.top to c/machinelearning@academy.garden

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I'm a data engineer who somehow ended up as a software developer. So many of my friends are working now with the OpenAI api to add generative capabilities to their product, but they lack A LOT of context when it comes to how LLMs actually works.

This is why I started writing popular-science style articles that unpack AI concepts for software developers working on real-world application. It started kind of slow, honestly I wrote a bit too "brainy" for them, but now I've found a voice that resonance with this audience much better and I want to ramp up my writing cadence.

I would love to hear your thoughts about what concepts I should write about next?
What get you excited and you find hard to explain to someone with a different background?

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[–] FormerIYI@alien.top 1 points 10 months ago

How to make up optimal solution to highly Kolmogorov-complex problems. This is nearest thing I would call "human intelligence" and what I would want for massive AI breakthrough.

https://arxiv.org/abs/1911.01547 - Chollett's Abstraction and Reasoning corpus is good example of it - it is tremendously hard to solve for the AI to this day.

https://www.researchgate.net/publication/2472570_A_Formal_Definition_of_Intelligence_Based_on_an_Intensional_Variant_of_Algorithmic_Complexity - here's theoretical work elaborating on importance of this concept.

It is important for current LLM revolution as well, as it is one of ways to differentiate actual congnitive skills from glorified look-up table