Earlier quoted context omitted.
I wonder if the physical workers join especially for services. Perhaps not, since they may be needed.
so bring it down to 3 billion people who know how to find datacentres on google maps
Good point.
HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
41–50 of 280 posts
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#42I strongly suspect the first AGI will come sooner than expected on the back of a "glue" AI that can intelligently bond together a web of narrow AIs and utilities. I got access to the wolfram plugin for chatGPT, and it turned it from a math dummy to a math genius overnight. A small step for sure, but a hint of what's to come.
I agree, I suspect AGI is possible right now with a similar system only slightly more sophisticated than this one. The right "glue" for existing models, and plugins to existing data sources all coordinated in a system. GTP-4 would do the managing, and handling, and some simple template API and handler script would allow it to call instances of itself or other models, track recursion depth, and automatically remind GT…
I believe you will quickly run into a barrier due to the small size of the context window. And increasing the context window gets harder and harder the larger it is.
There's a sibling talking about internal memory. That's how our brains solve the issue. AFAIK, nobody knows how to train something like it.
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#43Earlier quoted context omitted.
Everyone can see the writing on the wall that they need to be a part owner of the production, because the worker will not be needed. So its a land grab in every direction right now for the thing that is going to co-opt the means of production.
what do the owners of production do when the 6 billion workers decide they don't like not being able to eat?
Owning production buys you a lot of weapons with which you can enforce your property ownership on others.
Not if, but when, we get around to AI law enforcement with lethal weapons, it's over. There's no going back from that.
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#44Earlier quoted context omitted.
There will be no AGI during our lifetime. It seems weird to me that people that should understand how ML works (e.g. sama) instead of educating laypeople about about how this actually works and the huge limits the technology has, start talking nonsense about AGIs like some random scifi fan at a convention. Depressing.
I'll take the other side of that bet
Feel free to do so, we need something to replace crypto after all.
And also, sometime I wonder how many people hold those kind of opinions on AGI(imminent, doable, worthy of being discussed) because they sincerely believe in some nonsense like the basilisk thing for example.
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#45Earlier quoted context omitted.
Everyone can see the writing on the wall that they need to be a part owner of the production, because the worker will not be needed. So its a land grab in every direction right now for the thing that is going to co-opt the means of production.
what do the owners of production do when the 6 billion workers decide they don't like not being able to eat?
What would they care? 6 billion people is probably too many for the planet anyway.
Also they dont need to raise and feed an army if AI powered drones are able to do the same job. When AI is able to replace jobs en masse its pretty transparent to expect AI armies to be built en masse as well.
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#46I strongly suspect the first AGI will come sooner than expected on the back of a "glue" AI that can intelligently bond together a web of narrow AIs and utilities. I got access to the wolfram plugin for chatGPT, and it turned it from a math dummy to a math genius overnight. A small step for sure, but a hint of what's to come.
Whose to say that AGI isn't already here but relatively slow? It does seem to me that as more and more outputs of AI are pushed through various systems, that will eventually feed back into various AI.
In 2017 an Anon on 4chan proposed that our society, due to content marketing and AI stock trading, is already run by a sort of emergent intelligence, and he proposed that this is why things seem to be 'getting crazy' lately. I'm inclined to agree with that perspective, and if correct more capable AI systems could really kick this into high gear.
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#47Earlier quoted context omitted.
> it turned it from a math dummy to a math genius overnight Imo your post fundamentally misunderstands a few things, but mainly how Wolfram works. Wolfram can be seen as a "database" that stores a lot of human mathematical information (along with related algorithms). Wolfram does not make new math . A corollary here is that AGI needs to have the ability to create new math to be truly AGI. But unless fed something lik…
If the litmus test for intelligence is the ability to “create new math” most people on earth wouldn’t be considered intelligent
> If the litmus test for intelligence
Moving goal posts around is unhelpful. I think my comment was pretty clear in the context of AGI and calling ChatGPT a "math genius."
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#48Earlier quoted context omitted.
Except, whatever model is doing the orchestration will still not "understand" the problem (be able to learn from new information provided).
GPT-4 can do this. I realize that a description of how these models work implies that this is absolutely impossible , so I have no explanation other than suggesting you go try it out for yourself.
There is no description of how these models work, other than mechanically.
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#49I strongly suspect the first AGI will come sooner than expected on the back of a "glue" AI that can intelligently bond together a web of narrow AIs and utilities. I got access to the wolfram plugin for chatGPT, and it turned it from a math dummy to a math genius overnight. A small step for sure, but a hint of what's to come.
Except, whatever model is doing the orchestration will still not "understand" the problem (be able to learn from new information provided).
Have you actually tried it?
GPT-4: "The forward mapping M that I created to map positive integers to English sentences is based on a general guideline, where smaller-valued numbers generally correspond to shorter sentences using more common words. However, this mapping is not a perfect bijection, meaning there isn't necessarily a one-to-one correspondence between integers and sentences.
The generation of sentences is influenced by the patterns in the data I was trained on, and there is some degree of creativity involved in generating the sentences. This makes it difficult to establish a precise, invertible mapping. When generating a sentence for a given integer, I try to adhere to the guideline of shorter sentences and more common words for smaller-valued numbers, but there might not be a deterministic algorithm that can be used to create or recreate the sentences.
Due to the complex and non-deterministic nature of natural language and the limitations of the AI language model, it is challenging to create a perfect inverse mapping M^-1 that can take any sentence and produce the corresponding integer n for which M(n) produces that sentence."
Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace
#50Earlier quoted context omitted.
I agree, I suspect AGI is possible right now with a similar system only slightly more sophisticated than this one. The right "glue" for existing models, and plugins to existing data sources all coordinated in a system. GTP-4 would do the managing, and handling, and some simple template API and handler script would allow it to call instances of itself or other models, track recursion depth, and automatically remind GT…
I believe you will quickly run into a barrier due to the small size of the context window. And increasing the context window gets harder and harder the larger it is. There's a sibling talking about internal memory. That's how our brains solve the issue. AFAIK, nobody knows how to train something like it.
I wouldn't be surprised if AI research moves towards training models to use bolt-on peripherals like scratchpad memory. Transformers showed us an interface for addressing, so I wouldn't be surprised if someone figures out a way to use a similar addressing scheme and made it read/write.