ChatGPT

Peter Nixey: AI — Disruption Ahead

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It’s easy to recognize the potential of incremental advances — more efficient cars or faster computer chips for instance. But when a genuinely new technology emerges, often even its creators are unaware of how it will reshape our lives. So it is with AI, and this is where I start my discussion with Peter Nixey. … Read more

MV#17: AI Risks & Rewards — Santiago Bilinkis

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Could AI’s ability to make us fall in love with be our downfall? Will AI be like cars, machines that encourage us to be sedentary, or will we use it like a cognitive bicycle — extending our intellectual range while still exercising our minds? 

These are some of the questions raised by this week’s guest Santiago Bilinkis. Santiago is a serial entrepreneur who’s written several books about the interaction between humanity and technology. Artificial, his latest book, has just been released in Spanish.

It’s startling to reflect on how human intelligence has shaped the Earth. AI’s effects may be much greater.

Links

Outline

(00:00) Intro

(2:31) Start of conversation — a decade of optimism and pessimism

(4:45) The coming AI tidal wave

(7:45) The right reaction to the AI rollercoaster: we should be excited and afraid

(9:45) Nuclear equilibrium was chosen, but the developer of the next superweapon could prevent others from developing it

(12:35) OpenAI has created a kind of equilibrium by putting AI in many hands

(15:45) The prosaic dangers of AI

(17:05) Hacking the human love system: AI’s greatest threat?

(19:45) Humans falling in love may not only be possible but inevitable

(21:15) The physical manifestations of AI have a strong influence over our view of it

(23:00) AI bodyguards to protect us against AI attacks

(23:55) Awareness of our human biases may save use

(25:00) Our first interactions with sentient AI will be critical

(26:10) A sentient AI may pretend to not be sentient

(27:25) Perhaps we should be polite to ChatGPT (I, for one, welcome our robot overlords)

(29:00) Does AGI have to be conscious?

(32:30) Perhaps sentience in AI can save us? It may make it reasonable

(34:40) An AGI may have a meaningful link to us in virtue of humanity being its progenitor

(37:30) ChatGPT is like a smart employee but with no intrinsic motivation

(42:20) Will more data and more compute continue to pay dividends?

(47:40) Imitating nature may not necessarily be the best way of building a mind

(49:55) Is my job safe? How will AI change the landscape of work?

(52:00) Authorship and authenticity: how to do things meaningfully, without being the best

(54:50) Imperfection can make things more perfect (but machines might learn this)

(57:00) Bernard Suits’ definition of a game: meaning can be related to the means, not ends.

(58:30) The Cognitive Bicycle: will AI make us cognitively sedentary or will it be a new way of exercising our intellect and extending its range?

(1:01:24) Cognitive prosthetics have displaced some intellectual abilities but nurtured others

(1:06:00) Without our cognitive prosthetics, we’re pretty dumb

(1:12:33) Will AI be a leveller in education?

(1:15:00) The business model of exploiting human weaknesses is powerful. This must not happen with AI

(1:24:25) Using AI to backup the minds of people

Generative Art using GPT4 #2: 3D fractals

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Click for full size, interactive version

There’s a serendipitous quality to experimenting with LLMs.

I was trying to make an interactive model of a Mandelbulb with ChatGPT. Although it didn’t work as intended, it produced something funky. Indeed, for making art their fallibility might be a feature and not a bug.

Here’s a tip for making HTML5 from code generated by LLMs:

  • It will get stuff wrong — frequently things won’t render at all
  • Paste the results into a text file, save as .html, open in Chrome, open the Developer Tools Panel in Chrome
  • If you have any errors they will be listed (see below) paste them into Chat GPT or your LLM of choice. Let it figure out what went wrong.

Generative Art using GPT4 #1: fractals

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Mandelbrot Fractal Zoom

To produce something for many people was once an expensive endeavor, capital was required to open a factory or obtain a printing press.

If you’re reading this, you probably own a factory and a printing press. It’s the object attached to this screen. But you might need workers to help you turn ideas into products. This is where LLMs can help.

I’ve long been fascinated with fractals, these entities so rich in detail that they seem to live between dimensions as if overspilling the plane but not filling the volume. But I’d never bother coding them, the idea was enough, the work was too much.

With ChatGPT4 I created the above HTML5 fractal in a few steps, starting with the prompt to use the Multiverses palette:

Draw a Mandelbrot fractal using the palette #A66021 #07091C #19837E #11C55A #FFFD34 #B9FB4F #732401

Using the Code Interpreter this, pleasingly, produces an image in the ChatGPT window using Python. A few more prompts created one in HTML5 that zooms on click with overlay text that disappears.

What I’m feeling right now is a fractal sense of accomplishment — I’d be more proud if I’d coded this from scratch — to have been an artisan rather than a foreman. I’ve overspilled the plane, but not filled the volume.