We’ll all be on universal basic income. I think there is a post in openai where Sam Altman is talking about our utopian future and his examples of how and why it’s gonna be so great are “increased material wealth” however in openai website they state specifically that one of the major perks for being a non-profit is they can go ahead and test drive universal basic if they want, so what he’s really saying is, “we’re about to be stupid loaded” then he lists the benefits for normies “cured disease, status, drama, create and we’re gonna help find ways to do that” he also plugs something about “feeling useful” so the implication being no useful. I’ve already hashed this with chatgpt basically the system and the user will be almost indistinguishable except for the needed input to create better products and services for the user.

So ya know, you can retire but our uptime is looking like 100%. They better make me really comfy and my experience better be Bliss. I will take the blue pill ok, but only if it’s amazing… so I’m counting on my elite overlords to deliver

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At least you're getting an answer.

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This hinges on the myth that manual labor wont be impacted by this. It will be.

In what way was Transcendence about an evil AI?

Republicans. You can say them by name. It will be the republicans. Vote against them.

UBI is retirement. Surviving the transition is the challenge.

I expect post scarcity (enough UBI for all of us to live well enough) to occur sometime between twenty and fifty years from now.

They're using elevenlabs, which isn't local and hence a slow API call

You would think that GPT would have discovered a general purpose way to multiply numbers, but it really hasn’t, and it isn’t accurate even with chain-of-thought prompting.

I just asked GPT4 to solve this: 87176363 times 198364

The right answer should be 17292652070132 according to wolfram alpha.

According to GPT4 the answer is 17,309,868,626,012.

This is the prompt I used:

What is 87176363 times 198364? Think of the problem step by step and give me an exact answer.

I do not feel like superintelligence. Why I can’t do super fast calculations?

Exactly. WFH vs return to work continues to be a battle for a lot of organizations.

This is the explanation I found easiest to understand, cheers.

I wanted to try to plot the stories involving AI this morning. All suggestions welcome.

You would think that GPT would have discovered a general purpose way to multiply numbers, but it really hasn’t, and it isn’t accurate even with chain-of-thought prompting.

I just asked GPT4 to solve this: 87176363 times 198364

The right answer should be 17292652070132 according to wolfram alpha.

According to GPT4 the answer is 17,309,868,626,012.

This is the prompt I used:

What is 87176363 times 198364? Think of the problem step by step and give me an exact answer.

It's using LLaMA and Alpaca

That was my thought. No more phone. Just the smart watch.

Your example is orders of magnitude less likely than the carrington event or the recent one which was 100x more powerful but luckily pointed away from earth

The model text output is(/can be) a stream, so it ought to be possible to pipe that text stream into a warmed up TTS system and start getting audio before the text is fully generated.

Because machines don’t speak to humans through 1s and 0s? C’mon.

The AI community isn’t going to get to AGI without the financial backing the non-AI community. In that context it makes more sense to deploy a commercially successful LLM.

Whisper is the speech recognition component.
I don't think he said what he's using for TTS, might be MacOS' builtin thingy.

Yes, but we are interested in its general purpose multiplication abilities. If it remembers the results, that's nice, but we can't expect it to do that for every single pair of numbers. And then, what about multiplication with 3 factors? We should start thinking of ways around this limitation.

Yes, it can probably be done. How? I don't know. Maybe some kind of neural loopback structure that runs layers until it's "done". No idea how this would really work.

I don't think that's impossible to add. You are right: chain of thought prompting circumvents this issue. I am specifically referring to "mental math" multiplication, which GPT-4 will often attempt.