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Just say for a moment you are right. Do you see a difference between A.I. consciousness and sentient awareness?
What about flying cars? Will any of these big-tech companies think of that?
We'll have flying cars long before we have sentient machines. We know how to make machines fly, we understand the mechanics of flight. We have literally zero knowledge of what consciousness even is, it's not a question that science can convincingly answer. Sentient machines are totally out of our reach.
I agree. I'm starting to think that consciousness is not biology and if that's the case machines will never get there.
Not “cars” exactly, but you can see these short hop aircraft are filling a gap between the traditional small aircraft and road vehicles:
https://jetoptera.com/
https://jetsonaero.com/
https://www.jobyaviation.com/
https://opener.aero/
What is consciousness? That question has bedeviled people for a long, long time. Are non-human animals conscious? How would we know? Brains/minds in different species have evolved in different ways. True A.I. in computers will develop in its own way.
https://www.kurzweilai.net/dialogue-a-conversation-on-creating-a-mind
Same, I was completely skeptical (like many on this post) until I caught some recent presentations on machine learning and NLP specifically. And, of course, it depends on how we define "conscious". I think 10 years is probably too optimistic but 20 years? Maybe.
I'd really like to see some of this NLP research which supposedly puts us on track for machine consciousness. There is such a large disconnect between the reality (math) of modern machine learning techniques and anything even resembling an attempt to emulate biological systems.
Consciousness is just the side effect of forgetting that you are God.
Wow, here is a neat one...
Corporations are people too but I've never seen one taken to jail for murder
Well then we'll never have sentient machines because flying cars will never happen. Much like drone deliveries and self driving taxis, it's not the technology that makes it a bad idea, it's the everything else.
These are wild. Reminds me of Hieronymus Bosch’s work. Wild trippy surreal and psychedelic nightmare as all get out 🤪
That’s an odd opinion. There’s more R&D and real companies today working in the short hop aviation space than I’ve seen in the last 40 years or so. There are new plans being announced all the time. See the four company links I provided above.
'Beksinski' is a very effective and popular prompt that people use. Would love to play around with Pytti but would need a Google Collab pro+ subscription to make it worthwhile. For stills though I do find Nightcafe to be the sweet spot.
There's more R&D right now for a bunch of shit that was a bad idea from the start. Those links you offered are just Toys for the rich to use in their massive backyards and basically nowhere else. Really cool toys, mind you. Like jetpacks. But it's not gonna change anything on a population level. It's like the hyper loop nonesense. It will never move enough people at once to make any difference. It's just more tech bro's jacking each other off with unlimited VC money and astroturfing the internet so everyone is onboard
I'm sure we're also all gonna be using low orbit rockets to travel around too, right? any day now....
I see that today's AI is capable of much more than most people not working inside AI development areas might think.
We've come to a point in development where nothing is really impossible anymore, it's rather a question of choosing and weighting available data in order to fine tune the AI engine. This choice is done by humans in the hope to build an "intelligent" engine that, after being trained with enough input data, will deliver the "correct answers" when given a set of input data.
You want to build a "conscious machine"?
If you judge consciousness by behavior and reactions, or even actions, then yes, it's possible today and some smart robots already feature such behavior. It's just a question of how deep to go when training the machine. And a lot of it can be done automatically.
What scares me the most is that too many people already tend to rely on the technology without questioning it and without asking for a "second opinion" from a human being, generally speaking.
Let me give you one example coming from AI image enlargement: Revealing the detail of a very blurred face photo.
The enlargement engine can reveal image details that are not present in the source image. By training the machine with thousands or millions of detailed photos from different people, at some point the engine will be able to show a clear face from a picture that was too blurry to recognize anything in it. And it will look like a proper enlargement.
The technology feels like magic and the police etc. will love to use it, the only problem is that there is no guarantee whatsoever that the resulting face image is from the same person as in the blurry image.
In some cases, the users of the technology won't care about that though because they "want to solve the case now" and of course the computer can't be wrong
They can get interesting. I had a great run with adding "with Nicholas Cage" to everything generated on that site.
I recommend people watch a few of these videos for an idea of what’s coming: https://www.youtube.com/c/KárolyZsolnai/videos
This dude has changed the way I pronounce 'papers'. What a time to be alive!
Now squeeze those papers!
Thanks again @Poppadocrock for the WOMBO.ART App link. It's been fun exploring various prompts to see what the engine produces.
I chose some historical figures, and really love the set that the app generated.
Here are a set of FIVE I really like. The style just fits the myth of this figure at least for me...really beautiful and expressive...enough to build off of that's for sure:
Never say never, but I do highly doubt it. Maybe a hybrid scenario man and machine.
@echoopera that one came out great. I’ve had many good ones but I really like that one. it is a cool app, it’s fairly new, maybe only a month or 2. Enjoy.
Elon Musk is at the forefront of companies working on the hybrid approach.
https://neuralink.com/
Is that Tesla. I know it is really cool, I’ve saved over 100, lol. I like thinking of interesting terms or phrases that might generate something cool. Here’s a couple of mine.
Or should I say… partially mine, lol. Maybe not mine at all.
@echoopera i just saw ther3 was a quote from Tesla at the bottom.
This is a more realistic take on the capabilities of (contemporary) machine learning in terms of consciousness. Emulation of certain human decision making and behavior is certainly possible, but given enough time and resources you could emulate many things just by programming various heuristics and common cases. Of course, there's a big difference between that and machine learning techniques, but the underlying process is really not that much more sophisticated compared to true intelligence. You still have the general process of input -> some kind of near-deterministic processing -> output. Yes, the middle step may be mathematically complex and in some cases even have some probabilistic elements, but the system as a whole is nowhere near as complex or nuanced as something like the human brain.
On the contrary, I think people tend to attribute too much capability to current machine learning techniques. Of course, they do enable some pretty impressive results, even some which would have seemed improbable a few years ago. I don't deny this at all. However, many things (even seemingly basic ones) are very much out of reach for even the most cutting edge research in ML. In that regard, many things are very much "impossible". In my experience, people make the leap between soft AI and hard AI way too easily, when in reality there is still such a large gap between the two. I don't think any current "AI" truly deserves the title, and machine learning is a much more apt description.
Again,
I say this because of all of the points above. People tend to conflate (admittedly impressive) results with solutions to a question that is far from solved. The fact that a machine can appear to understand language by no means implies that it truly understands or can creatively apply said language.
This. You could train a machine to have a conversation, and even appear to speak like a human. That machine is not conscious, it's not alive, and the conversation has no meaning for the machine.
You might be able to teach it the rules of grammatical English, and even write some poetry, but the machine can never appreciate poetry. It's just an algorithm, it has no feelings.