alt Hacker News> I'd be curious to hear takes on what would make you think Astra is yet to be AGI, and what would still need to be achieved for this to effectively be AGI from this point forward.
To me AGI is all about the "G" general (we already had the AI part). General meaning universal, everything. It's not a function of knowledge or specific hardcoded tests, it's that you could give it a test it's never heard of before and never been trained on and it would ace it (it might need a lot of time).
Currently LLMs can't even really learn within a conversation, they can add a note to context and try to not drop it. Example things an AI cannot do yet (but maybe someday will):
- write a well-received book, write a best-seller
- come up with a new company idea, Run that company
- actually have a decent conversation, maybe someday talk somebody out of suicide effectively
- come up with its own ideas or theories that nobody else has presented
- understand the stock market well enough to trade better than an index fund
- be an expert Game Master in a TTRPG (making no mistakes, getting a read on the players' fantasies, calibrating difficulty in response to emotions)
- come up with a theory of what makes games fun, make a popular game
- be able to sort through research and come to conclusions on complex geopolitical/sociological topics (e.g. theorize on whether AGI will result in mass poverty or mass abundance and be able to argue persuasively)
- be able to articulate what it knows, what it doesn't know, and what information it would need to have to answer complex queries
- exhibit metacognition (thinking about its own thinking) and self-optimization
- wonder about things
- observe contradictions and ironies in the social-consciousness, do a standup routine that makes you rethink how you look at things
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It also cannot do tasks it wasn't trained for. It can extend texts, read images and click on a desktop, but only because it's made for that.
You want a computer program to be able to take a single phrase and execute decade long journies?
Who will be responsible for the outputs and side effects of such a closed loop system?
Half of those the agent fleet systems can do right now.
These are things it cant do and will not be able to do without human labor and long running human vision:
https://rcsnyder.github.io/open-frontier-curriculum/05-front...
https://rcsnyder.github.io/open-frontier-curriculum/05-front...
That’s ASI, not AGI.
I would bet that llms have talked plenty of people both into and out of suicide at this point. That nitpick aside, I think that's an excellent list. Especially being able to articulate what it does and doesn't know, or how confident it is. That's something that naively sounds pretty simple, but clearly isn't. And it's something humans aren't great at either (see: Dunning-Kruger), but so far LLMs don't even really have the capability to attempt it.
I don't agree with you how measure how intelligence is, because why ??? those list is not easy even for expert human to do it either
or are you miss the part "general intelligence" is ????
So the goalposts have moved to include continual learning.
In a sense I think no one will agree on a definition of AGI until it becomes impossible to construct any benchmark under which an AI underperforms "average" humans. That or it's defined retrospectively, after it's overwhelmingly obvious it met any such definition.
Most of the list reads more like ASI than AGI.
> come up with a new company idea, Run that company
So far nobody's even shown an LLM succesfully running a high-traffic vending machine for as much as 30 days at a time.
By this definition, even most humans would not qualify as having AGI though.