Main article: Section "Brain-computer interface".
This is one of the deep tech bets that Ciro Santilli would put his money in as of 2020.
How hard could it be? You just have to learn the encoding of the neural spine/eyes/ear, add an invasive device that multiplexes it, and then the benefits could be mind blowing.
Interestingly and obviously, the initial advances in the area are happening for people that have hearing or vision difficulties. Since they already have a deficient sense, you don't lose that much by a failed attempt.
Hearing is likely to be the first since it feels the simplest. Ciro heard there are even already clinical applications there. TODO source.
Ciro Santilli is a fan of this late 2010's buzzword.
It basically came about because of the endless stream of useless software startups made since the 2000's by one or two people with no investments with the continued increase in computers and Internet speeds until the great wall was reached.
Deep tech means not one of those. More specifically, it means technologies that require significant investment in expensive materials and laboratory equipment to progress, such as molecular biology technologies and quantum computing.
And it basically comes down to technologies that wrestle with the fundamental laws of physics rather than software data wrangling.
Computers are of course limited by the laws of physics, but those are much hidden by several layers of indirection.
Full visibility, and full control, make computer tasks be tasks that eventually always work out more or less as expected.
The same does not hold true when real Physics is involved.
Physics is brutal.
To start with, you can't even see your system very clearly, and often doing so requires altering its behaviour.
For example, in molecular biology, most great discoveries are made after some new technique is made to be able to observe smaller things.
But you often have to kill your cells to make those observations, which makes it very hard to understand how they work dynamically.
What we would really want would be to track every single protein as it goes about inside the cell. But that is likely an impossible dream.
The same for the brain. If we had observations of every neuron, how long would it take to understand it? Not long, people are really good at reverse engineering things when there is enough information available to do so, see also science is the reverse engineering of nature.
Then, even when you start to see the system, you might have a very hard time controlling it, because it is so fragile. This is basically the case of quantum computing in 2020.
It is for those reasons that deep tech is so exciting.
The next big things will come from deep tech. Failure is always a possibility, and you can't know before you try.
But that's also why its so fun to dare.
Stuff that Ciro Santilli considers "deep tech" as of 2020:
- brain-computer interface
- fusion power. The question there is, when is "deep", "too deep"?
Future self, answer these.
10 years:
- 2017-2027: did self-driving cars become big?
- 2017-2027: did virtual reality become big?
20 years
- 2018-2038: are companies offering free full genome decoding just to get your genomic data and sell it to pharma companies?Someone like Ciro then creates an open source genomic database funded by health organizations that publishes genomes + phenotypes anonymously. Genome to phenotype analytics go crazy big.
40 years:
- 2017-2057: was human level AI reached (by non-bio devices :-)), even if very slow?
- 2017-2057: did China become democratic?
- 2018-2058: did impressive brain-computer interfaces show up?
Unconditional basic income is Ciro Santilli's ultimate non-transhumanist technological dream: to reach a state of technological advancement and distribution of resources so high that everyone gets money for doing nothing, enough for:
- basic survival needs: food, housing, clothes, hygiene, etc.
- two children to keep the world going. Or immortality tech, but is harder and borderline transhumanist :-)
- high speed computer and Internet
Once a person has that, they can "learn, teach" and create whatever they want. Or play video games all day long if they wish.
Ciro Santilli will not live to see this, and is content with helping it happen faster by increasing the efficiency of the world as. And having at least two well educated kids to carry on the project after he dies :-)
Technologies which would help a lot towards unconditional basic income, and might be strictly required required are:
- artificial general intelligence
- affordable humanoid robots with human-like energy efficiency and power-to-weight ratio.This is even less likely than AGI due to the end of silicon Moore's Law and at the start of the Genome's Moore's law: information doubles, small sizes halve, but macroscopic mechanical artifacts stay the same.brain-computer interfaces are pretty certain to happen however after Ciro Santilli dies.
So in the worst case we can just grow brainless bodies and replace the cavity hole with a computer that controls the body, possibly with high level decisions coming from a remote building-sized genetically engineered biological AGI brain.
Of course, it is all about costs. A human costs about 130k 2010 USD/year. So how cheap can we make the AGI / robot human equivalent / year for a given task?
AGI + humanoid robots likely implies AI takeover though. It would then come down to human loving bots vs human hating bots fighting it out. It will be both terrifying and fun to watch.
AGI alone would be very dangerous, in case it can get control of our nuclear arsenals through software zero days or social engineering. Although some claim that is unlikely.
Humanity's best bet to achieve silicon AGI today is to work on: Ciro's 2D reinforcement learning games.
By Charles Bukowski mentioned e.g. at tatyanany.medium.com/slavery-was-never-abolished-it-was-only-extended-to-include-all-the-colors-6ca21d586e7e:
Slavery was never abolished, it was only extended to include all the colors.
Bibliography:
- www.youtube.com/watch?v=bldeaDRWJYcLecture 24: Unemployment, Re-employment & Income Security by Ian Shapiro (2019)