Tag: machine learning (page 1 of 5)

Second-order effects of widespread AI

Sometimes ‘Ask HN’ threads on Hacker News are inane or full of people just wanting to show off their technical knowledge. Occasionally, though, there’s a thread that’s just fascinating, such as this one about what might happen once artificial intelligence is widespread.

Other than the usual ones about deepfakes, porn, and advertising (all which should concern us) I thought this comment by user ‘htlion’ was insightful:

AI will become the first publisher of contents on any platform that exists. Will it be texts, images, videos or any other interactions. No banning mechanisms will really help because any user will be able to copy-paste generated content. On top of that, the content will be generated specifically for you based on “what you like”. I expect a backlash effect where people will feel like becoming cattle which is fed AI-generated content to which you can’t relate. It will be even worse in the professional life where any admin related interaction will be handled by an AI, unless you are a VIP member for this particular situation. This will strengthen the split between non-VIP and VIP customers. As a consequence, I expect people to come back to localilty, be it associations, sports clubs or neighborhood related, because that will be the only place where they will be able to experience humanity.

Source: What will be the second order effects widespread AI? | Hacker News

(Machine) Creativity

It is genuinely amazing what you can create these days with an AI model by simply inputting a few words of natural language. Craiyon (formerly DALL·E mini) allows anyone to do this right now, but there’s also previews of much more powerful models that will be available soon.

As Albert Wenger asks, what does this mean for creative people? I don’t think technology ever completely replaces but rather augments. So I think we’ll see even more artists work with AI models to create amazing things.

During my run today, I was thinking about how awesome it would be to generate running music perfectly suited to the route I was going to run. That’s entirely possible if we continue along this trajectory!

Recently we have had several breakthroughs, first starting with large language models that can tell stories, and now with DALL-E2 and midjourney, two models that can generate amazing imagery based on textual input. For example, here is an image “imagined” by midjourney based on the prompt “Sailing across the alps”

It is mind-bending to sit with this image for a while. A machine created it and did so within a space of minutes, yet it is full of imagination and detail and could easily be on the cover of a book or the walls of a museum.

So what does it mean that we now clearly and demonstrably have creative machines?

Source: The Meaning of Machine Creativity | Continuations by Albert Wenger