logiduck

> How do you "translate" music into vibrations

Is there anything to translate? Music is vibrations to begin with.

I have had exposure to ABA but mostly through the lens of the parents with children using ABA and it was mostly positive. Being able to take their kids out and put them in the car for the first time without a breakdown after starting therapy was a major achievement in their eyes.

I am just curious though about what you limits are? Isn't everyone being put into a box? Isn't that just being part of society? I don't know what your experiences are, but probably isn't there a spectrum of ABA from good to bad just like there is a spectrum of all types of interventions and parenting from being overbearing to too lenient?

Just genuinely interested in that it seems like being part of society unless you are part of the 1% has a big aspect of conformity and "fitting in" to society even if that isn't what you want to do. That historically to me has just been known as growing up.

There is a lot of money from Silicon Valley rushing into ABA treatment and having seen the results I can't help but think we do better.

Current systems of ABA rely on billing the therapy to insurance and thus most of these ABA "mills" just throw inexperienced college kids who haven't graduated yet at the problem on a session by session basis paid at minimum wage.

These college-aged therapists have no interaction with each other since they go directly to the session at the client's house, leave and go home to take notes. Sometimes they switch patients quite regularly so there is never a chance for a comprehensive plan to emerge.

The insurance only pays for treating the patient and thus no space is available for training the parents. If we want to do better, we have to start with the parents and develop therapies that last the whole week not just 2 hours a week.

Theres a lot of potential for improving the system, but the current ABA system that SV is taking over focuses on extremely short sighted "box checking" and does nothing to develop a long term approach for the family.

Yes, that is exactly my point. You will have to rely on AI to translate it back out, but that translation is built on probabilities not machine rule-based translation. So you can ask and have the AI explain everything to you, but you are still trusting the "black box" to tell you what is happening. Very different from today.

Also, you can "get good" at reading assembly, but that doesn't matter if the AI can output a custom OS from scratch and a custom VM to execute the program it wrote to solve your use case. It will be so impossibly complex that it would be the equivalent studying protein folding.

Instead people will just trust the AI.

It also won't help you if the code base the AI produces for a SaaS app is a million lines of assembly.

Instead of having different layers of OS, compiler, high level language, an AI will just be able to produce one layer. because after decades of trusting the AI to write our code, why wouldn't it?

The current gen of AI outputting code that in human-centric programming languages will be a blip in the history of AI. As it advances, it can just skip that step.

Its will be orders of magnitude more complex and opaque than anything we have today.

Not really at all.

What you are describing is an traceable transformation of code in which there are several intermediate layers that people can inspect and understand. They can inspect the exact rules for that transformation. The process is repeatable and verifiable.

What I am describing is a black-box stochastic generation of low level code in which there is no higher level representation anymore. AI generating Assembly not by a set of rules, but using statistics. There will be no individual layers to unwind or inspect, because for AI it doesn't need them. Our separation of concerns was built for our human brains and limiting complexity of projects to our understanding.

We may have the tools to manage it, but we are losing the ability to understand it.

AI writing software will be a exponential explosion in software complexity.

AI would very well create its own programming language to be more efficient for the AI to code in that we have no hopes of understanding. Imagine that AI started to output a large SaaS app written today in Python in Assembly because for the AI the extra cognitive overhead of using Assembly doesn't exist. At first we might resist and tell it to use a language we understand, but then as time goes on we grow more comfortable that it does the "right" thing and down the road people are just generated raw Assembly using AI without really understanding what the code is doing, only looking to see if the code behaves the way they expect.

Imagine entire codebases spun up in seconds with so many lines of code, a single person would never have hopes of understanding everything, needing to rely on AI to summarize and explain the code for them. Now imagine that massive code base being iterated and worked on for a decade over the life of a company.

AI could bring Terabyte sized code bases in a decade or so.

Copyright laws do not support your argument.

There have been many cases in music where the offending song was forced to pay because it was "close enough" to the curve but not touching it.

Of course there is fair use, etc etc. But modern copyright was a reaction to the printing press so that people were motivated to still create content in the face of new technology.

If current copyright laws do not protect people from creating something new because of fear that they will be ripped off, then new copyright laws need to come.

One thing I wondered about how arguments from one side of the issue say that AI copying and extracting information for free isn't stealing, but what if you use their argument against things that aren't copyright like secrets, military, corporate, trade secrets.

Like can if an LLM saw the coca-cola forumla and the weights are released, what are the consequences? If it ingested top secret confidential information and released the weights, I assume that counts as stealing something and distributing it.

Yes, this makes it very difficult to apply ML and RL in non-simulated scenarios.

With simulated scenarios you can just replay and "sweep" across hyperparameters to find the best one.

In a realworld scenario with limited information, fine tuning hyperparameters is much harder as you quickly find yourself in local maxima.

Seems like the Moat they might have is licensing is if they start getting celebrities or studios to license their tech. Very big market for animation studios to have this tech.

If they were the shop where you go to get a famous person's or character's voice I could see it reaching this valuation.

But as a pure tech play, seems likely that in 2-3 years the open source models will be good enough to not need an established player.

If you go on Fiverr and ask for a text narration, most of the people on there just use elevenlabs or a similar service and aren't actually doing the narration themselves but essentially just licensing their voice.

Ever since I was a little kid I was always hearing those inspirational stories about how someone would get into an accident and then "The doctor told me I would never walk again" or "I wouldn't make it to my next birthday" and then the person made a miraculous recovery and "proved them wrong" or something along those lines.

It always seemed like an attention bias to me. Because for sure there are many more stories about the doctor being right and the person did never actually walk again. And we don't really pay attention to the stories about the doctor saying they would walk again. Those aren't interesting.

It can also be a bias with the triumphant person overestimating the negativity of the past. Like did the doctor really say you will never walk again, or that it will be tremendously difficult and unlikely?

People like an underdog story and will hold it with more attention than other stories in which the expectations met reality.

The reason it exists is because of the products they haven't released yet. Spatial audio is part of the AR experience they want to release in the future, and it just so happens they can release it before that is ubiquitous so now they have a testbed for it with existing devices.

Its one of those things that you might not go out of your way to get, but once you have it, its pretty nice. Not game changing by any means, but it adds a bit of immersion.

Also, think of it as not an intentionally developed feature for the current gen of devices, but rather the "next gen" of AR glasses and such. I don't think apple went out of their way to build it as a selling feature today, but as a consequence of building it for their AR vision of the future, they can release and test it today.

It seems like personal tutors will actually be in higher demand if AI learning takes over. I mean kids have had an ever increasing array of ways to learn and supplement materials over the past 20-30 years and if anything education has been getting worse in recent years with many benchmarks for education reaching decades low levels.