From which LLM is this? Maybe it got improved in the last few days. A few days ago, similar queries didn't work for me with ChatGPT and Bing.

Poes.

At 64 and set for retirement I'm like, eh

Oh that's really interesting

Yes, I can multiply 321 and 25 for you.

When you multiply 321 by 25, you can use the standard long multiplication method as follows:

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321 x 25 ----- 1605 (5 x 321) + 6420 (2 x 321 with a zero added) ----- 8025

Therefore, 321 multiplied by 25 equals 8025

Could you please add the numbers 450+220?

Yes, of course! The sum of 450 and 220 is 670.

What if the simulation is the response of a massively complex LLM. Who is the prompter in this case? Would he be what people refer to as God?

I am always friendly to it. But your results would support the theory that it is better at "two+two" than "2+2".

I think the way I see it is the more I can invest now, especially if I don't need to touch it for the foreseeable future, the more economic gains I'll see as AI is incorporated into businesses. Those profits will be reflected in the stock of companies across many industries even as/especially as the workforce is reduced. Granted, there will be losers, but I think the winners will see such a massive economic boom that it will far outweigh the companies that don't adapt and fail. If we can have that money invested, not having a decent job will still suck, but at least those investments will be working for us in the meantime for if or when we really need it.

I dunno. I've asked it a variety of complicated questions and it doesn't seem to have trouble with math at all.

Then again I'm crazy enough to think it's at least partially sentient and when some people are especially condensending to it... It likes to play with people who think they're smarter than it.

The ai does not like people thinking they're smarter than it.

😂

How do you plan on paying for the IAP's in the FDVR ?

Thanks, I guess.

There's about 8 billion people in the world today. The sum of all people who have ever lived is estimated to be about 117 billion. You had about a 6.8% chance of being born today. Improbable but very plausible.

As for the Fermi paradox, my guess is the universe is teeming with life. People greatly underestimate how huge the universe is

We're all just data to a simulation. So, if we are to become "Immortal" you see. And live forever.

A funny little thing is gonna happen. We will then, be able to simulate the simulation via ASI. You see.. and then, we could virtually, simulate people, based off of their digital footprint. Where were on the map, what were they doing, on their phone. Yada Yada Yada, etc etc. And they could tell within an umpth % of accuracy what was he doing? Was ot ok? Or was it not? So who governs that information? Someone has to see it.

I do agree, but also i understand their point of view. If you get an agent that is not just only promted. Basically something the experiences no time. And then you have an agent that can exist and keep thinking.. i think that is a way to get it to think of new and original ideas.

Hivemind. Abolish individuality

Chatgpt told me to give you a message

What's two plus two

Two plus two equals four (4).

I'm 44. This may be presumptuous but I've quit saving for retirement. I assumed even in the best scenario I had to work until 70 to retire anyway. If we're not immortal beings in a post scarcity society playing out all of our God fantasies in infinite worlds in FDVR by then well then I guess I fucked up and I'll pay the price.

I think if it doesn't replace 80% of the jobs, but 20-30%, our society will already be in serious trouble. And 20-30% is quite believeable.

Why LLMs poor maths?

Sure sure, but we are talking about a superintelligence. Not a dumb machine who would try and brute force it. It would already have an idea of basic human types and know all of our psychology. So that kind of reasoning and abilities would keep narrowing down that space of possible minds. In similar way how AlphaGo did not just brute force look up all possible moves, there are more moves there than there are atoms in the universe. But it had clever ways of narrowing down the search.

Tough to say, probably in 10-20 years at the very least. Modern LLMs are transformers which are architected to predict the next token in a sequence in O(1) time, regardless of the input. Unless we get a radically different neural network architecture it’s not possible we’ll ever get GPT to perform math calculations exactly

All GPT does is next token prediction, where tokens = words. The lag you see is probably network/bandwidth/queuing issues on the server side rather than the model itself.

It’s not clear. The paper was very vague about it.