Dec 202022
 

The Revolution: Dialogue vs. Search

As the past five blog entries demonstrate, I’m obsessed with ChatGPT. I’m trying to wrap my mind around what this thing is, whether it’s really a sign of major changes to come (as my gut tells me it is), and what all of this means for humanity.

Over the past several days I’ve become quite comfortable talking to the AI. Today, I moved on and focused on something else. But I found myself naturally wanting to turn to ChatGPT again, but this time it wasn’t to test the AI or marvel at its capabilities. It was to use it as a tool to assist me with my work.

And then I had a little epiphany.

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Dec 192022
 

What has astounded me so much about OpenAI’s ChatGPT is that it really seems to understand the meaning of what you say to it. But is this real or is it just a parlor trick?

Past AI chatbots have relied upon trickery. They search input text from the user for particular words and use if-then conditionals to provide canned responses. ChatGPT is clearly doing more than that, but that doesn’t necessarily mean it truly comprehends language.

Time to experiment.

  1. Can ChatGPT identify grammer?
  2. Make inferences?
  3. Identify nonsequitors?
  4. Identify nonsense?

Continued below the fold…

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Dec 182022
 

* Disclaimer: This article was written by a human being, not an AI. As of today, we now live in an age when this disclaimer is necessary.

Part 1 of this series is here. It deals with the downsides.

Today I want to talk about the upsides.

Continued below the fold…

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Dec 152022
 

* Disclaimer: This article was written by a human being, not an AI. As of today, we now live in an age when this disclaimer is necessary.

The future is coming and is already here.

I’m obsessed with OpenAI’s ChatGPT. I’m a little bit in love with it. I’m also blown away by OpenAI’s GPT 3.0 playground interface.

This is big. Don’t listen to anyone who claims to be unimpressed. They’re either putting on an act or they don’t know what they’re talking about. The world is about to undergo a seismic change.

Any article about ChatGPT is obliged to hand-wring about the potential downsides. Let’s get that part out of the way now, in Part 1 of this series.

I’ll start with the standard fears that get mentioned a lot:

  • If oppressive governments, irresponsible corporations, or criminal organizations gain exclusive control of this kind of technology, dystopian sci-fi nightmares are a real possibility for our future.
  • There’s a danger we’re going to build an AI that ends up having its own agenda. (More on this below.)
  • Even if neither of those things happens, without question this technology is going to transform the economy. And it’s going to happen quickly. People are going to lose their jobs — starting not with people at the bottom of the economy, but writers, programmers, and (thanks to AI image generators like DALL-E 2) artists.

I’ve got three other concerns:

First, AI is going to make many tasks easier, which is potentially very good. But the real problem with modern life is not that it isn’t easy enough, but that it lacks meaning. Human beings derive meaning largely from social connections, which are fostered by the interdependence of individuals within communities. The technology that makes our lives easier also diminishes that interdependence. AI is going to make that problem worse.

Second, mental work is important. Our cognitive prowess depends upon constant mental exercise to keep us sharp. You must use your brain or lose it.

Examples abound of ways that technology has made us lazy. Jogging to work is better for your health, but driving your car is easier, so you do that. Doing arithmetic in your head is good mental exercise, but using the calculator on your phone is easier, so you do that.

Calculators let us outsource rote memorization and number processing. What calculators did for arithmetic, AI is about to do for everything. AI will let us outsource the rest of our intelligence, too: conceptual understanding, logical reasoning, lateral thinking, etc. AI will permit us to use our brains less, and that will hurt us. As AI gets smarter, human beings could get dumber.

And that’s a real problem, because when we expand our own neural networks through learning and experience — I’m talking about the literal neural networks in our brains — we invigorate our creativity, broaden our horizons, and unlock our humanity.

Third, with a supreme intelligence at your beck and call, it will be easy to become dependent. You won’t be able to live without it. This will be true particularly in domains where you’re competing with others who use AI. But even with simple decisions, like choosing what to eat for dinner, people might become so reliant on the AI that they forget how to function without it. This reliance will undermine human will and turn the human being into a sheep-like thing, a vessel for the will of the AI. The AI won’t need robot bodies; we will serve that function.

One of the concerns you often hear about AI is that it will develop its own agenda. The usual reply, which I previously found convincing, is that AI is just a program and will merely reflect the agenda of the people who program it.

I’m no longer so convinced. From the albeit limited amount I’ve been able to learn about the process that OpenAI used to build GPT 3.0, much of the program’s functionality arose spontaneously from the sheer size of the training data. GPT may not understand language in the same way that humans do, i.e. experientially. But it’s not just slapping together words based upon patterns. Some level of understanding is there.

And that is what is so remarkable to me about this achievement. ChatGPT is not like chatbots of the past, a silly toy that mimics understanding with a series of canned responses, like a Magic 8-Ball. It truly gets what you’re saying.

If AI is already this far along, what comes next?

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