Do you mind sharing which tasks you achieved great results on?

Have you tried letting it completely evolve itself without direction as to what it becomes? I keep waiting to hear about someone trying that, but I think most are too scared to try it, although it really can’t be any more dangerous than what’s already happened and continues to happen in the world.

would love to know how? do you have any blogs or tutorials that I can follow to get started on making self evolving ai agents?

The problem with LLMs reaching true AGI is it's basically "static" intelligence. Changing code, context, prompts and even fine tuning can improve output, but is still far from realtime learning.

The "weights" in our brains are constantly evolving.

I think, while i agree to "problem with LLMs is just with training" i also think to a certain degree we need to step back from LLM's as in text processors and to achieve "AI" as in something really intelligent we need to go more abstract back to NN and build a self learning "entity". While LLM's accomplish fascinating results, we are trying to force speech as the primary way of learning, tho this is a really limiting factor. If we would accomplish to create an NN driven AI in a virtual space which would have an simulated environment and learn from a base state like a "newborn" it still could accomplish the skills to understand language as we humans prefer to use it, tho it wouldn't be limited in "thinking" in and only based on this.

I know this is a very simple and abstract way to explain it but i think you get my point.

Towards the simulated AI learning environment, theres this interview with Jensen Huang that i can recommend in which he touches on the topic and how nvidia is working on such https://www.youtube.com/watch?v=7ARBJQn6QkM

While im not a "expert" in this topic, i might have spend quite a portion of the past 10 years in my freetime to think about it and tinker, and ill stick with the point - we need a free self-trained system to actually call it AI, and while LLM's as GPT's nowadays are powerfull tools, for me those are not "Artificial Intelligence" (intelligence from my pov must include reasoning, understanding of its own action, pro-active acting, self-awareness). And even tho the LLM's we use can "answer" to certain questions as if they would have any of those, its just pre-trained answers and they dont bring any of those (we work on reasoning but lets be fair its not that great yet).

Just my two cents.

Even the greatest LLM will only just give you a snapshot of a perceived world state. You’ll only ever get one state, input, to output. Each snapshot in sequence is what will perceptively appear to us as AGI initially.

If we stick with the frames analogy, we know the frames of a movie will never give us a true living and moving person (it will never be real). When we watch a movie, we believe we are seeing a living breathing thing that is deliberate in its existence, but we know that is not true.

So what the hell would real AGI be? Given that you provide the input, it can only ever be a super human augmentation. That along with your own biological world state forming, you have an additional computed world state that you can merge with your biological world state.

We will be AGI, is the implication. Perfect weights will never be perfect because they are historical. We have to embrace being part of the AI to maximize its potential to be AGI.