Why AI Is Incredibly Smart and Shockingly Stupid | Yejin Choi | TED

But first, let's get philosophicalRelating to the study of philosophy or involving deep thinking about life and existence. by starting with this quote by Voltaire, an 18th century Enlightenment philosopher, who said, "Common sense is not so common."

Turns out this quote couldn't be more relevant to artificial intelligence today.

Despite that, AI is an undeniablyIn a way that cannot be denied or disputed. powerful tool, beating the world-class "Go" champion, acing college admission tests and even passing the bar exam.

I’m a computer scientist of 20 years, and I work on artificial intelligence.

I am here to demystifyTo make something easier to understand by removing the mystery or confusion surrounding it. AI.

So AI today is like a Goliath.

It is literally very, very large.

It is speculatedTo form a theory or conjecture about something without firm evidence. that the recent ones are trained on tens of thousands of GPUs and a trillion words.

Such extreme-scale AI models, often referred to as "large language models," appear to demonstrateTo show clearly that something exists or is true sparks of AGI, artificial general intelligence.

Except when it makes small, silly mistakes, which it often does.

Many believe that whatever mistakes AI makes today can be easily fixed with brute force, bigger scale and more resources.

What possibly could go wrong?

So there are three immediate challenges we face already at the societal level.

First, extreme-scale AI models are so expensive to train, and only a few tech companies can afford to do so.

we already see the concentrationThe process of gathering things together in one place or group. of power.

But what's worse for AI safety, we are now at the mercy of those few tech companies because researchers in the larger community do not have the means to truly inspect and

dissectTo examine something in detail these models.

And let's not forget their massive carbon footprint and the environmental impact.

And then there are these additional intellectual questions.

Can AI, without robustStrong and healthy common sense, be truly safe for humanity?

And is brute-force scale really the only way and even the correct way to teach AI?

So I’m often asked these days whether it's even feasiblePossible to do easily or conveniently. to do any meaningful research without extreme-scale compute.

And I work at a university and nonprofit research institute, so I cannot afford a massive GPU farm to create enormous language models.

Nevertheless, I believe that there's so much we need to do and can do to make AI sustainable and humanisticFocusing on human values and concerns rather than technical or scientific ones..

We need to make AI smaller, to democratizeTo make something available to everyone it.

And we need to make AI safer by teaching human norms and values.

Perhaps we can draw an analogyA comparison between two things that are otherwise different but have similar characteristics. from "David and Goliath," here, Goliath being the extreme-scale language models, and seek inspiration from an old-time classic, "The Art of War," which tells us, in

my interpretationAn explanation or understanding of the meaning of something., know your enemy, choose your battles, and innovate your weapons.

Let's start with the first, know your enemy, which means we need to evaluate AI with scrutinyVery careful examination or observation of something..