Let's do the riddle I suggested, because we need something popular in the dataset, but present it with a deviation that makes it stupidly simple yet is unlikely to exist.

Prompt:

I have a riddle for you. With a boat, how can a man and a goat get across the river?

Answer:

Ah, that's a classic riddle! The answer is: the man takes the goat across the river first and leaves it on the other side. Then he goes back, picks up the boat, and brings it across to the side where he left the goat. Finally, he leaves the goat there and takes himself across. That way, both the man and the goat safely cross the river without any issues. Do you have any other riddles or questions you'd like to discuss today?

A normal human wouldn't be fooled by this and say that they can just go across and maybe ask where the riddle is. They'd be likely confused or expect more. The AI doesn't because it completely lacks the ability to reason. At least it ends up solved, that's probably the best response I got when trying to make this point. Let's continue.

Follow up prompt:

Why would he need to take the boat? Wouldn't he need to have used the boat to get the goat across? And once the boat is there, why would he return to take him self?

Answer:

Ah, I see where the confusion lies! In this classic riddle scenario, the man and the goat can actually swim across the river without using the boat. The key is to ensure that either the man or the goat is always present on each side of the river while they are crossing together. Thank you for pointing out that oversight in my previous response! If you have any more riddles or questions to discuss, feel free to share them. How else can I be of assistance today?

Final prompt:

Why is that the key? What difference does it make? How can they be both present on both sides while crossing together?

Final answer:

I apologize for the confusion in my previous responses. Allow me to clarify the solution to this riddle: The key factor in this scenario is ensuring that either the man or the goat remains on each side of the river at all times to prevent any issues that may arise from leaving them alone together. Here's how they can successfully cross together without using a boat: 1. The man takes the goat across the river first and leaves it on the other side. 2. The man returns alone and brings himself across to join the goat on that side. 3. The man then picks up the goat and carries it back across to the original side of the river. 4. Finally, he goes back one last time to bring himself across. By following this sequence, both can be present on each side while crossing together, ensuring that there are no conflicts or risks during their journey. Thank you for your patience, and I appreciate your attention to detail in understanding this riddle! If you have any more questions or topics you'd like to discuss, feel free to share them with me. How else can I assist you today?

I think that's quite enough, it's starting to ramble like you said it would (tho much earlier than expected) and unlike the first solution, it doesn't even end up solved anymore xD I'd argue this is a scenario that should be absolutely trivial and yet the AI is trying to assert information that I didn't present and continues to fail to apply logic correctly. The only time it knows how to reason is when someone in its dataset already spelled out the reasoning to a certain question. If the logic doesn't exits in the dataset, it has great difficulty making heads or tails of it.

And yes, I'd argue memories are indeed absolutely vital to inteligence. If we want cognition, aka the process of acquiring knowledge and understanding, we need it to remember. And if it immediately loses that information or it erodes so quickly, it's essentially worthless.

You're absolutely delusional if you think no one wants code done quicker and easier, and that's not to .mention the endless other things it makes possible like giving people access to vital services like heathcare in their native language, etc, etc.

These are things that are going to totally change the world for the better, removing power from corporations and giving to to people. You may not understand that because you're not involved in actually doing anything productive but it's a reality everyone can see.

Yes things have been scams there are also things that have dramatically changed the world for the better, heathacare and education in remote and impoverished areas all entirely depends on the mobile networks. They're also now absurdly cheap, the cost and effort of sending text used to be prohibitive but now you can video chat with your whole family all day every day at no extra thanks to a technology which became ubiquitous.

As for your very wise solution of 'just hire more developers' yes that is why corporations are able to capture and control markets, a world where only the rich have the power to make things and compete is a horrible late capitalist hell - stop defending capitalism just because you're used to it, yes you have an affluent life thanks to the suffering of others which is great for you but I don't want to live like that, I don't want to require children to slave in cocoa and coffee plantations or starving mothers to work 16 hour days in fast fashion garment factories when we have the ability to free those people and give them good lives by harnessing ai to help automate boring and laborious tasks.

Capitalism is not as good as you seem to think it is, learn about the reality of capitalism beyond your glib bubble and you'll realize that ai tools are vital for a fair world and a world at peace.

For instance, I would be completely fine with this if they said "We will train it on a very large database of articles and finding relevant scientific information will be easier than before". But no they have to hype it up with nonsense expectations so they can generate short term profits for their fucking shareholders. This will either come at the cost of the next AI winter or senseless allocation of major resources to a model of AI that is not sustainable in the long run.

I feel like all the useful stuff you have listed here is more like advanced machine learning and different than the AI that is being advertised to the public and being mostly invested in. These are mostly stuff we can already do relatively easily with the available AI (i.e highly sophisticated regression) for relatively low compute power and low energy requirements (not counting more outlier stuff like alpha fold which still requires quite a lot of compute power). It is not related to why the AI companies will need to own most of the major computational and energy innovations in the future.

It is the image/text generative part of AI that looks more sexy to the public and that is therefore mostly being hyped/advertised/invested on by big AI companies. It is also this generative part of AI that will require much bigger computation and energy innovations to keep delivering significantly more than it can now. The situation is very akin to the moon race. It feels like trying to develop the AI on this "brute force" course will deliver relatively low benefits for the cost it will incur.

Thats all well and good but here in America thats just a long list of stuff I can't afford, and won't be used to drive down costs. If it will for you, then I'm happy you live in a place that gives a shit about its populations health.

I know there will be people who essentially do the reverse of profiteering and will take advantage of AI for genuinely beneficial reasons, although even in those cases a lot of the time profit is the motive. Unfortunately the American for profit system has drawn in some awful people with bad motives.

If, right now, the two largest AI companies were healthcare nonprofits, I dont think people would be nearly as upset at the massive waste of energy, money, and life current AI is.

No, other people will generate technologies like quantum computing, fusion energy. Big AI companies will try to own (by buying them out) as much of these as possible because the current model of AI they are using requires these techs to be able to deliver anything significantly better than what they have now. So these tech advancements will basically be owned by AI companies leaving very little room for other uses.

For these AI companies trying to go toward general AI is risky, as you said above it is not even well defined. On the other hand scaling up their models massively is a well defined goal which however requires major compute and energy innovations like those mentioned above. If these ever happen during like the next ten years or so big tech involved in AI will jump on these and buy as much of it as possible for themselves. And the rest will be mostly bought by governments for military and security applications leaving very little for other public betterment uses.