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Gmroo OP t1_j3hcs00 wrote

Reply to comment by r0ndy in The intersubjectivity collapse: a collapse of the network of unspoken rules that hold civilization together based on the subjectivity of minds that have created it, due to introduction of vastly new minds that lead to unpredictability of agents amongst each other. by Gmroo

Hard to say, but some argue phones and other external devices are already types of augmentations. I think large language models like ChatGPT are rapidly becoming ubiquitous and this year for many it'll become normal to have an A.I. assistant handy at all times. There is a gold rush underway.

So, in so many ways we're already accepting them. We just currently don't have the tech to connect them to the brain well. I think this can surprisingly rapidly change once we can put 1000s of A.I. scientists to work.

Getting a model like GPT 3.5 there is not too difficult. Fine-tune on science papers, do reinforcement learning for math (it's not quite good at that, for the similar reasons diffusion models like Midjourney or Dall-E2 produce text-like gibberish) and give it access to the web and let it self-verify its output. That'd be a good start.

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r0ndy t1_j3he9hu wrote

Easy to say that having google or Siri in your pocket. All forms of AI. And yet, we work longer hours for less pay than years past.

I think this could be used to replace an entire workforce at a big box retailer.

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JeffryRelatedIssue t1_j3jg1q5 wrote

Look at what co-op is doing in sweeden for instance, rewe in germany and amazon in the uk.

You only need a a couple of people to run multiple stores in a fairly large area

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JeffryRelatedIssue t1_j3jftki wrote

Even basic conversational AIs like GPT are very far from being ubiquitous and neither will they be anytime soon. These are toys, stepping stones to broader implementations and initself is 20 years away from being able to even tutore primary school students in science, let alone be a scientist. Even using a GAN for reinforced learning (which is by no means effective) it would take years of processing for a marginal capability in doing math or science. These toys haven't been developed for precise output opperations.

In the specific case of GPT, it's just a semantic interpretation layer, an interface for a different AI who's role is to derive intended meaning out of a statement. The back and forth it does with people is just treating humans as an adversarial network. GPT will be the friendly face for the AI that will fire people for having predicted sub-optimal outputs in the next quarter.

Giving free reign to do result check online is what made the first generation of racist conversational bots. The internet isn't a fact book either and given how model scoring happens in a cnn, any AI would only validate with agreeable sources for the sake of fast evolutionary integrations.

AI assistants are already a thing. And i don't mean amazon or apple whose feature sets aren't spectacular. I mean the virtual assistants that are already available for office workers in certain sectors that can fix my PC, remind me to do things and reschedule meetings (according to it's own method of determining priority) on it's own to ensure i have enough time to do it given previous experience.

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