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I made an AI write a story about AI then I made another AI illustrate it

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Re: I made an AI write a story about AI then I made another AI illustrate it

#111

I made an AI write a podcast transcript then I made another AI read it :D https://soundcloud.com/jn2022/lexman-artificial-podcast-epis...

This is amazing. “We use robot dogs to plant the fruits”

> This is amazing.

It's Kafkaesque source material not withstanding, it was able to accurately emulate two of the most robotic sounding popular 'influencers,' with tons of ocntent to piece it all together, but and this is a caveat, the only realistic thing that came from it was when they briefly spoke over each other. Everything else seemed obviously fake.

Consider this sounds nothing like the Elon you see on the most recent All in Podcast interview, either. If you threw that in would it distort the pitch and cadence of 'fruit juice' Elon?

Over all it's a pretty cool display of where the tech is, though, but NLP has had decades of data behind it but it's still in its relative infancy. The sounds of the voices being made within a situational context are passable deepfakes, for sure. It's almost like they got audio of both together to make a SNL sketch with a deadpan hook that never got aired.

Conclusion: Model training is actually really cool and has thus far been the most interesting aspect of AI to me.

Re: I made an AI write a story about AI then I made another AI illustrate it

#113

Earlier quoted context omitted.

The following is an un-curated text-davinci-002 generation, completing the text: > Write an insightful reply to this Hacker News comment on a link to an article titled "I made an AI write a story about AI then I made another AI illustrate it". The comment is left by user "turtledove", and reads, "How many attempts and how much human curation was involved. Every 'I made AI do...' story seems to necessarily omit the 'a…

This is really very impressive. How likely is it this is essentially one or more comments from HN memorised by the neural net, with some synonym usage? How do we know that it’s not just reposting partially disguised sentences written by a human author?

> How likely is it this is essentially one or more comments from HN memorised by the neural net, with some synonym usage? How do we know that it’s not just reposting partially disguised sentences written by a human author?

Oh, we know for sure that it is reposting partially disguised sentences written by a human author. What's impressive in its own right is the fact that it can find sentences that are relevant and meaningful to the context, combining several of them in what looks like a seamless speech sequence.

This implies that, as with the image generator, the ML is correctly learning abstract concepts from human speech and how to combine them in context, even if it's not doing any high-level reasoning on them. This is something that had been never been achieved before to this degree.

Re: I made an AI write a story about AI then I made another AI illustrate it

#115

Earlier quoted context omitted.

This is really very impressive. How likely is it this is essentially one or more comments from HN memorised by the neural net, with some synonym usage? How do we know that it’s not just reposting partially disguised sentences written by a human author?

> How likely is it this is essentially one or more comments from HN memorised by the neural net, with some synonym usage? How do we know that it’s not just reposting partially disguised sentences written by a human author? Oh, we know for sure that it is reposting partially disguised sentences written by a human author. What's impressive in its own right is the fact that it can find sentences that are relevant and me…

> Oh, we know for sure that it is reposting partially disguised sentences written by a human author.

Like any human would?

Re: I made an AI write a story about AI then I made another AI illustrate it

#116
post #2

The future of ai generated content and entertainment is going to be wild! How long before we have ~unlimited high quality entertainment? Before an AI can generate infinite episodes of your favorite show, podcast, comedian, and so on. Going to be an interesting thing to watch unfold.

When we rolled over to 2020 I put down ten predictions in my calendar for where we'd be in 2030. I don't remember all of them, but I know one of them was that by 2030 we'd be in the beginning stages of AGI-like intelligence and that some of them would have begun to solve real problems for us in mathematics, physics and biology.

Some of my predictions that I wrote down:

1. There will exist an experimental commercial fusion reactor that has achieved a continuous Q>1.

2. A true quantum computer will have solved a real world problem in math's or physics.

3. We'll be at the threshold for AGI-like specialized intelligence.

4. ML & AI research will have cracked several diseases, one of them Alzheimer's.

5. We're back on the Moon with a small base.

6. Protein folding is a solved problem using ML and QC.

I'm looking forward to revisit them in 2030, but I feel like we're on the right path.

Re: I made an AI write a story about AI then I made another AI illustrate it

#117
post #85

Earlier quoted context omitted.

I think we're currently witnessing something truly unique with the rise of AI, something which is as special as life being born on earth. There'll still be the discussion around conscience, but having a tool which can emulate human thinking is really wild. The next 5 years will be really interesting. Also to see how this will be absorbed by society.

Let's not get carried away. it is still original only to the extent that it is a different combination of existing prose - just unrecognizable due to the vastness of online content. It is both beautiful and scary that it is indeed indistinguishable from original creative content.

> it is still originalonly to the extent that it is a different combination of existing prose

So what is left in your opinion? Do you really think us more than complex remix machines? What is fundamentally different to the current AI?

Re: I made an AI write a story about AI then I made another AI illustrate it

#118

I made an AI write a podcast transcript then I made another AI read it :D https://soundcloud.com/jn2022/lexman-artificial-podcast-epis...

Very nice! Which AI is doing the reading?

Thanks! It's TorToiSe: https://github.com/neonbjb/tortoise-tts

Re: I made an AI write a story about AI then I made another AI illustrate it

#119
post #80

Earlier quoted context omitted.

It is not as if every comment here is a gem of wholly original storytelling. For the most part we’re all just regurgitating other people’s sentences. Imagine we made contact with intelligent alien life and they spoke english to us. Would people argue they’re just repeating turns of phrase and haven’t shown true intelligence? I feel like we are setting the bar for AI too high. Current AI systems are clearly intelligen…

Up to a degree. There is no real comprehension here. Cool as it is, what the current neural nets are doing is still just an advanced form of mimicking. Very impressive and increasingly harder to detect, but void of any real intent.

And you’re using what definition of “intent”?

Re: I made an AI write a story about AI then I made another AI illustrate it

#120
post #85

Earlier quoted context omitted.

I think we're currently witnessing something truly unique with the rise of AI, something which is as special as life being born on earth. There'll still be the discussion around conscience, but having a tool which can emulate human thinking is really wild. The next 5 years will be really interesting. Also to see how this will be absorbed by society.

Let's not get carried away. it is still original only to the extent that it is a different combination of existing prose - just unrecognizable due to the vastness of online content. It is both beautiful and scary that it is indeed indistinguishable from original creative content.

No you're wrong. It's literally creativity. Machine learning models literally work because they fill in gaps where the data doesn't exist.

Any content generated by ML is very unlikely to be anything else other then original.

Imagine linear regression. Then pick a random point on that line. How likely is it that that point on that trend line coincides with an actual data point? Very unlikely.

ML is simply a multidimensional version of this. Some 1000 dimensional surface and the result you see is simply a point on that surface. The likelihood of that point on the surface to coincide with an actual data point is astronomically low.

Nobody is being carried away here. What you are seeing is raw creativity by an AI. It is a highly simplified version of human creativity, but the deep fundamentals are identical.

In fact all intelligence is simply a huge thousands or more dimensional surface. A giant curve fitting methodology. The only gap between ML and human intelligence as of now is the amount of neurons, the training algorithm and the actual template for the equation describing the model. But in essence we have the fundamentals down at a high level.

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