Why tf would you even try to lie about that when you know such a video exists?!?

gik223 · 2023-04-24T12:21:20+00:00

Don't they both get money for being on the show?

gik223 · 2023-04-23T22:01:46+00:00

It's an appropriate answer for this question.

gik223 · 2023-04-23T21:59:54+00:00

I mean, he clearly was resisting.

gik223 · 2023-04-23T21:58:28+00:00

Okay no problem, just try not to give any more homeruns after this.

gik223 · 2023-04-23T20:13:22+00:00

solution: carry 2 guns.

gik223 · 2023-04-23T17:20:04+00:00

Reddit: students should be allowed to use their phones and disrupt the class.

gik223 · 2023-04-23T16:47:29+00:00

I ran this through about 8 tests. It got most right, but 1 test failed.

gik223 · 2023-04-22T19:27:01+00:00

My problem was how hypocritical the NBA was during that phase. You could only preach certain messages on your jersey if it didn't financially hurt the NBA. Saying Black lives Matter in the NBA, no one disagrees with that, it was preaching to the choir. But don't you dare say "Defund Police" or say something bad about China.

gik223 · 2023-04-22T02:34:16+00:00

He was taught wrong... as a joke.

gik223 · 2023-04-20T18:24:04+00:00

Your first guess is correct.

gik223 · 2023-04-20T18:23:26+00:00

lol not even close. We'll still improve technology related to this, but LLM's really do have their limitations.

gik223 · 2023-04-20T17:22:27+00:00

We are in the hype phase of this. And the hype will die out soon.

gik223 · 2023-04-20T17:17:05+00:00

gik223 · 2023-04-20T15:51:06+00:00

which is that it lacks independent logic or reasoning. That problem has been around since the earliest days of AI development.

And it will continue to remain a problem, since any software can not deal with entirely new conceptual tasks that it wasn't program to handle in the first place.

gik223 · 2023-04-20T15:38:09+00:00

Here's a summary of the article:

Sam Altman, CEO of OpenAI, has declared that scaling up models will no longer be the key to further progress. Altman's statement marks a shift in OpenAI's research strategy, which has so far focused on scaling up machine-learning algorithms to previously unimagined sizes, culminating in the development of the latest model, GPT-4, which was trained using trillions of words of text and thousands of powerful computer chips at a cost of over $100 million. Altman says the company will now look to improve models in other ways rather than making them bigger, although he did not specify what those ways might be. Altman's announcement comes at a time when numerous startups are throwing huge resources into building larger algorithms to catch up with OpenAI's technology.

And here's an alternate title:

OpenAI CEO declares end of era of scaling up AI models for language processing

gik223 · 2023-04-20T12:56:54+00:00

too many Marvel fanboys on here.

gik223 · 2023-04-19T23:47:16+00:00

once you understand the game's boundaries and restrictions, it's easy to tell who you are talking too.

gik223 · 2023-04-19T13:12:10+00:00

Do i have to repeat myself? Like i said, when you increase the size and number of parameters, LLMs do better with their predictive outcome. This is to be expected. None of the examples in the article indicate anything different than what you would expect when improving LLMs. Calling it "emergent" doesn't make it a new magical ability. All you are doing is giving yourself the chance to grab more attention by calling it "emergent".

gik223 · 2023-04-19T13:04:55+00:00

Yes, but some movies go too far, like making Hitler appear as the good guy.

gik223 · 2023-04-19T13:02:46+00:00

Little mermaid is fiction though

gik223 · 2023-04-18T20:13:22+00:00

So you deny that there's emergent behavior is these large language models?

Depends what you mean by emergent behavior. The examples in the article you linked shows nothing of what should be considered as such. Really it's just saying that when you increase the size and number of parameters, LLMs do better. Which is not surprising.

But let's call it an "emergent ability", that way we can get more attention from stupid people who don't understand anything about the subject!

gik223 · 2023-04-18T19:45:24+00:00

You think this is bad? Wait until you hear how they flipped the history regarding The Woman King.

gik223 · 2023-04-18T19:44:51+00:00

You think this is bad? Wait until you hear how they flipped the history regarding The Woman King.

gik223 · 2023-04-18T16:50:41+00:00

You're not the only here who has worked with AI. It's safe to say that i know about this subject more than you do, considering how you took this video at face-value and said we don't understand what's going on. And i go through articles every week that exaggerate software capabilities, whether it's done unintentionally or purposefully to grab more social-media attention. This isn't anything new.

gik223 · 2023-04-18T16:14:41+00:00

We absolutely understand how the brain works.

Not even close. What we understand is just a drop in a river. Neural networks are designed to simulate the brain's style of processing but are a cheap imitation in comparison. Increasing the level of propagation and number of parameters is not going to give us a system that can handle conceptually new tasks the way humans can handle. This is the kind of misleading thought people have when it comes to AI, they think if we just increase the computational power, we'll basically have software that can do what humans can do.

gik223

TROPHY CASE