We already knew parameters aren't everything, or else we'd just be using really large feedforward networks for everything. Architecture, data, and other tricks matter too.

Of course it’s a huge unknown right now how all this will settle out, but it’s also worth remembering that computers were supposedly going to reduce the need for people, but it just upped expectations of productivity. Something similar will happen here. Certainly some jobs will be less valuable, and likely some skills will be more valuable, such as the ability to effectively direct AI tools to a desired result. And then some entirely new roles will come into existence.

🤗

does that prove that parameters aren't everything?

I think the first real lesson we're going to be forced to learn about things that approach A.I. is that you can't have utility without risk. There is no "safe" way to have something that is an artificial intelligence, or resembles one, without letting some shitty people do some shitty things. You can't completely sanitize it without rendering it moot. It's never going to be G-rated, inoffensive, and completely advertiser and family friendly, or if it is it will be so crippled no one will want to use it.

So these companies have a decision to make, and we as a society have to have a discussion. Do we accept a little bad with the good, or do we throw it away? You can't have both, and that's exactly what corporate America wants. All the rewards with no risk.

me waiting for Skynet to drop

Some of you might enjoy Neoreaction: A Basilisk. The author does a deep look into Yudkowsky among some other reactionaries. Menscius Moldbug and Nick Land.

Damn, this is exciting!

Pretty sure that was sarcasm mate :)

Yeah, I pretty much agree

Two three years?? It's gonna happen way sooner than that.

Agreed, but also at this pace, I doubt it will take that long.

They'll probably have a "SafeSearch: Off" option that's on by default. Just like they have done with their search engine that spews vaginas and murders at the touch of a button.

Thank you for pointing out the jargon. His blog is incredibly difficult to read. And it’s not difficult to read because he’s so smart, it’s difficult because it’s such convoluted writing

You're right, but that doesn't even begin to scratch the surface of potential issues with this change of status. Screw pets, what's the point of having us around? The gap in intelligence between us and them could be like the difference between us and worms. AI having us as pets is definitely on the optimistic side of things

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While I agree with option 1, such stark binaries allowing for zero nuance is the epitome of a false dichotomy

Humans finetune to the test as well.

I think it’s going to get in that direction as it’s more computer efficient.

Many speciality AI mind working together like human do.

Humans also have separation in our mind: left vs rish hemisphere, cortical columns, etc.

We specialize a lot as there is not enough mental capacity in one human to cover all aspect of human knowledge.
That’s what made chatgpt even more impressive, it’s not perfect, but it cover such a wide area compared to a human.

Why is it recommended to study 1.5 months for Series 7 if it's just a multiple choice test?

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No it is economics, they make less money the longer they stop and think about it.

I don't think that's true, but I do believe it was finetuned on the specific dataset to achieve the SOTA result they did.

It doesn't even have to be last-gen. It works well on my 4gb GTX 970 with 8gb of ram, it is very impressive how optimized it is

I think you missed a point, the most important point. Each prompt costs gpt a few cents.

It would be way too expensive to have something like that at the scale of google search.

They have to make something that is far, far cheaper.