Recent comments in /f/singularity

dasnihil t1_j8lapnw wrote

Reply to comment by phloydde in Speaking with the Dead by phloydde

you are describing a self aware system that regulates it's responses to fine tune for goal achieving, whatever the goals render out to be there in such incoherent word salad network of attention layers. it can't be as complex as a biological system whose unit is enormously optimal compute, probably the best in the known universe.

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phloydde OP t1_j8l82hz wrote

Reply to comment by SgathTriallair in Speaking with the Dead by phloydde

You are being short sighted. Imagine an assistant AI who reminds you that you shouldn’t be eating that donut because your doctor told you that you are pre diabetic. To have an AI companion would mean you could offload a lot of cognitive work and focus on other things… I keep thinking of the English gentleman and his man servent

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phloydde OP t1_j8l7l23 wrote

Reply to comment by expelten in Speaking with the Dead by phloydde

There is a great sci-fi series Psion where the protagonist sees the corporate AIs as a totally distinct “life form” whose recognition is beyond comprehension.

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phloydde OP t1_j8l76wr wrote

Reply to comment by Mortal-Region in Speaking with the Dead by phloydde

There have been documented cases where a human who is suffering from short term memory loss repeat themselves verbatim to a given stimulus. This leads me to believe that one of the missing links is only short/long term memory.

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phloydde OP t1_j8l6s4m wrote

Reply to comment by dasnihil in Speaking with the Dead by phloydde

Nice Floyd reference. That’s my point though. Once LLMs like chat gpt start to talk to themselves in an ongoing internal conversation like what happens with ourselves then we will get to the point where a true conversation happens

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Ok_Sea_6214 t1_j8l6p7s wrote

All fighter aircraft will be fully autonomous by 2024 if there's a peer conflict. The real challenge isn't the technology but a risk and drone averse culture, so if say China or Russia decides they're at too great of a disadvantage and have little to lose from risking making all their jets unmanned, then this would force everyone else to adapt as well. Unquestioning robots that don't care about losses certainly are to the liking of totalitarian style regimes.

It's like in WW2 when the US rejected the idea of torpedo bombers to take out ships because they were convinced they wouldn't work (when their own testing proved that they would). It's not until the British and Japanese destroyed entire fleets that they adapted.

But now wars move so fast that there might not be enough time to adapt, the next Pearl Harbor might be called Washington.

On the technical side it's also not that hard, even the US has been flying unmanned jets, including F-16s, for decades. It's mostly a matter of developing the AI needed to manage them in a heavy jamming environment, but seeing as missiles and drones are already smart enough to execute complex missions to a certain level, it should be enough to automate all combat air vehicles to a high degree that they can defeat an enemy.

This can be very simple, such as China using mechanical autopilots to swarm Taiwan with unmanned J-5 and J-6, even with zero guidance and a high failure rate their simple presence will force Taiwan to shoot them down, or risk them crashing down filled with fuel and explosives, like modern day V-1 flying bombs, but probably accurate enough to hit an airfield or staging area.

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FC4945 t1_j8kxat2 wrote

I think it's a combination of watching too many dystopian movies with a mindset that is naturally negative about the future. I really want to see more films like Her. Films that show how AGI and ASI can benefit humanity. There will, of course, be religious holdouts that will never get on board but that's always been the case in society.

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RoyalSpecialist1777 t1_j8kwg8b wrote

I am curious how a deep learning system, while learning to perform prediction and classifation is any different than our own brains. It seems increasingly evident that while the goals used to guide training are different but the mechanisms of learning effectively the same. Of course there are differences in mechanism and complexity but what this last year is teaching us is the artificial deep learning systems work to do the same type of modeling we undergo when learning. Messy at first but definitely capable of learning and sophistication down the line. Linguists argue for genetically wired language rules but really this isn't needed - the system will figure out what it needs and create them like the good blank slates they are.

There are a lot of ChatGPT misconceptions going around. For example that it just blindly memorizes patterns. It is a deep learning system (very deep) that, if it helps with classification and prediction, ends up creating rather complex and functional models of how things work. These actually perform computation of a pretty sophisticated nature (any function can be modeled by a neural network). And this does include creativity and reasoning as the inputs flow into and through the system. Creativity as a phenomena might need a fitness function which scores creative solutions higher (be nice to model that one so the AI can score itself) and of course will take awhile to get down but not outside the capabilities of these types of systems.

Anyways, just wanted to chime in as this has been on my mind. I am still on the fence whether I believe any of this. The last point is that people criticize ChatGPT for giving incorrect answers but it is human nature to 'approximate' knowledge and thus incredibly messy. Partially why it takes so long.

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