Well, it's unorthodox, but if we're sharing psychedelic visions... in 2018 I saw all of mankind marching together in perfect lockstep, atop an infinite uniform grey plane, to the beat of a central computer clock.

"They are going to offer you a chip. You tell them, no thank you!"

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More broadly this strikes me as a new era of biology. (Genes -> Memes -> Temes) Straightforwardly then, we should aim for a symbiosis. (Symbiosis was Musk's vision for Neuralink, from what I recall.)

I've heard people say man hasn't yet transcended a zero-sum mindset (with rare exceptions), and that this is the attitude we're passing onto the machines. And if one of us has to lose... well, that's probably not going to go so well for us.

Therefore: symbiosis!

What is the capital market incentive for symbiosis? You are going to spend a crazy amount of time, money and effort to try to mix human behavior and cells to work with digital substrates.

Or you can simply make a machine that does the same thing fully artificially but everything is cheaper because you dont have the constraint of having to fit a bunch of biological features.

It's like my colleagues who were talking about uploading their minds to the cloud in the future, like what would be the benefit of this every happening? What information can you provide as a human that the full aggregate of knowledge does not already have? Why should memory and disk space be wasted on this

Well, the bee doesn't need to integrate its cells with the flowers, but they've gotten along just fine for a very long time.

By symbiosis I simply mean mutually beneficial coexistence.

We've barely achieved that with each other, but my point here is that we should strive to achieve that with the machines.

We're still treating it as if someone has to win and someone has to lose. Someone has to come out "on top."

If that's the game we want to play, against an opponent that is self improving... that doesn't strike me as an excellent strategy. We should probably pick a different one.

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To answer your question, the incentive is so that we can continue to exist.

If the market doesn't reward our continued existence, then we should probably have a conversation about that at some point... I've heard the global economy described as a misaligned super-organism even before AI. AI mostly just makes it go faster in roughly the same directions it was already going.

> "If that's the game we want to play, against an opponent that is self improving... that doesn't strike me as an excellent strategy. We should probably pick a different one."

> "If the market doesn't reward our continued existence, then we should probably have a conversation about that at some point"

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There is a lot of "we should probably" carrying the point here.

The incentives are made by the market, and it happens to be an incentive that this discussion, or any action for that manner does not happen. Given the current status quo, and the foreseeable future given the incentives, how do you suggest that we even get to a time where symbiosis is on the table?

Well, our best bet is that we succeed in making the machines be less stupid than we are, and hope that they figure it out.

So the machines should create the human-machine symbiosis for some reason, interesting... If I was the machine I would maximally want about the same symbiosis with humans as humans have with cows.

There's another fun biology metaphor here which is the gut.

If you take antibiotics, your gut basically becomes a void (to simplify a little), and then it can get overrun with invasive species.

That's how I see what is happening with the internet and with AI.

When AI intrudes in a network, it's able to get very far because there is nothing there to stop it. There is no healthy ecosystem there. They're probably should be, and in the near future there probably will be. (Well it'll probably look more like a monoculture until we learn that lesson for the nth time, but... yeah)

When a search space has irreducible complexity, ensemble search methods can improve performance. It's possible culture, emotions, religion, etc are part of an ensemble.

Simulating the "human search method" in silico doesn't need to include specific personalities, but they do provide a bootstrap, just as we've bootstrapped current AI with human language.

For symbiosis, there may be an advantage to the physical adaptability of biology.

In general, it's currently unclear if biology is emulating what we're creating in computers, if computers are emulating what we achieve biologically, or if both approaches are imperfect emulations of a different ideal search method.

If this is true, what prevents a fully computer search from adding noise, branching or in general simulating diversity with evolutionary methodology, much more efficiently than humans?

Without humans, you could rediscover any benefit the "human search method" confers with enough compute and time, but we're limited by both.

I always find that idea of uploading a mind so detached from reality. It's as irrational as thinking that physically reprogramming one twin's brain to be the same as the other's would make them the same conscious person.

The Ship of Thesus is a powerful metaphor

Sometimes discovery happens accidentally. I think investing in the intersection of the digital and biological worlds is a good general direction even if unfruitful intuitively from an early economical standpoint. I think biological systems have immense insights still to give that we should continue to explore!

Sure, but why would it be the ends of this process. Like, the comment above is arguing for symbiosys. My question is how does symbiosis make the system better or more efficient in the end. For example, if there is something to understand or gain from the biological systems, a fully digital system could probe it, emulate it and in general extract the relevant information much more efficient than a human.

Innovation doesn't need to have any other reason than because its cool. Think of bipedal robots, everyone went mad at the thought of building something so inefficient

I've been thinking about this.

Humanoid robots have been a dream for centuries.

But a more practical robot would be like an octopus or something. It would just be like this weird ball of tentacles that rolls around your house. No one's gonna buy that, even if it's a million times cheaper to build.

You will not get VC money for your bipedal robot startup with this pitch

Imagine slavery but your friends will respect you for it.

just take the cash

If you like visions, perhaps you also like stories.

https://www.mediafire.com/file/htq0zr310se30v3/Last_Day.pdf

I read Lilly's Programming and Meta programming in the Human Biocomputer as a young man. Left me with a lot of questions, etc.

That you replied to this post, indicates you may be familiar with Lilly?

Anyway, if you have any published writing on even vaguely related subjects, eg your comment, perhaps post a link. I will read it. If you weren't aware, he spent a fair amount of time with Feynman, who if I remember correctly, was fond of the isolation tanks. Some very interesting content from that era, especially before Sandoz cut them off.

The isolation-experiment-based research is not new and didn't originate with Lilly. AFAIK, it was first recorded (and possibly also originated) with Avicenna (Abu Ali Ibn-e Sina is the full, correct name).

And he was not an Ayrab (Salmon in his intro CS book claims Al-Khuarezmi was an Arabic scholar--which is false and made me lose all respect for Salmon as an educator. If he got such an elementary fact wrong, what else is there that could be incomplete?)

PS: Yes Alkhuarezmi wrote in Arabic, but he was not an Arab. All classical Persian scholars at the time were fluent in Arabic as it was the lingua franca of science, medicine, philosophy and theology.

I still need to finish that book.[0] Well, and move back to Holland, I suppose! They have pretty good float tanks there, among other things :)

That's funny about Feynman, I didn't know that.

I've read bits and pieces of Lilly. The most interesting thing I remember is that he was trying to establish two-way communication between humans and dolphins. I recall he was building some kind of computer system for the purpose, but I guess he was about half a century too early.

I guess in our age the more pressing question would be learning to figure out how to communicate with the machines. That's probably going to turn out to be more important in the long run.

[0] The bit that stayed with me is the one that he repeated in interviews. The physical body imposes definite limits. That always seemed a little arbitrary to me, from the point of view of pure consciousness, it's not clear to me why it should be that way. Or to flip it around, you can transcend the limits of the mind, but then what effect does that have on "external" reality? Does it just make you less bad at decision-making, or is there a deeper effect?

(And while I'm at it... Something that bugged me about simulation theory, if the outside is probably simulated, why wouldn't the inside be too? Sounds a lot cleaner than having a bunch of brains floating around in a data center.)

He was obviously a brilliant man but the hubris that comes from that often leads to folly.

As to the dolphin communication -- it seems like LLMs would be the perfect tool to study that now. A search came up with these active projects (courtesy of Gemini):

Scientists are actually using LLM architectures to decode animal communication right now. Here are the three main projects to explore:

* DolphinGemma -- https://deepmind.google/models/gemma/dolphingemma/): Google and the Wild Dolphin Project are training AI to predict dolphin sounds and attempt two-way communication using an underwater device.

* Project CETI -- https://en.wikipedia.org/wiki/Project_CETI: An initiative using machine learning to decode sperm whale clicks, recently discovering a phonetic alphabet and rudimentary syntax.

* Earth Species Project -- https://cloud.google.com/blog/transform/can-generative-ai-he...: A non-profit using generative AI to map the communication of multiple non-human species, searching for universal language structures.

Not sure why I find this unsettling!

Relavant.

https://en.wikipedia.org/wiki/United_States_Navy_Marine_Mamm...

All right this is the coolest thing I've read all year. Thank you for that!

pstuart covered the cetacean bit better than I could have.

On the simulation question... Not much, but we have a long way to go before any answers arise there. I could offer my insight on the subject, but aside from being sicker than usual today, it's a tough subject to speculate on and the environment here is not necessarily hospitable, so I'll just say fair question.

Who’s Sandoz?

swiss pharmaceuticals, of LSD discovery fame

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