Wednesday, July 8, 2020
Eternal Life
Mummy returns: Voice of 3,000-year-old Egyptian priest brought to life
Jan 2020, BBC News
3D-printed voice box based on Nesyamun's vocal tract, which was scanned to establish its precise dimensions.
By using the vocal tract with an artificial larynx sound, they synthesised a vowel sound meant to be similar to the voice of Nesyamun.
At least the voice box is now taken care of; maybe we can't upload the whole brain yet, but we're getting there.
Diluting blood plasma rejuvenates tissue, reverses aging in mice
June 2020, phys.org
Also, the fountain of youth is real.
-image source: Scientific American
-image source: Lucas Cranach the Elder - The Fountain of Youth - 1546 - oil on lime
Anthroids
Researchers create three-dimensional organoid models of human forebrain
Jan 2020, phys.org
For the same reason a true robotic nose will not exist, these organoids will not be conscious. Consciousness requires a whole body, not just a brain.
image source: Smithsonian
I'm the Computer Now
Wave physics as an analog recurrent neural network
Jan 2020, phys.org
This story is the craziest thing I've ever heard -- mind-numbing omnipotent future-speak. Computing with physical wave media in virtual dimensions? I'm in.
The electronic engineering department at Stanford "trained" physical wave systems to "learn" temporal data features.
If you see the word "train" these days you can bet they're talking about deep learning / neural networks. Usually, the way you train a network is to let it watch thousands and thousands of hours of youtube videos. Or any other data set you have available. (The Alcohol Language Corpus of drunk speech, perhaps?)
The network itself learns certain things about all the data you give it, and it assembles itself, arranges itself, to be able to detect those features in other images, let's say. Or you could have it learn what a "Vietnamese sandwich" is, and then synthesize Vietnamese sandwich versions of other sandwiches. Or you could have it show you the eignevector, the essence of a Vietnamese sandwich. (Spoiler, the essence of youtube is the face of a cat. That's what the network learned most by watching a several lifetime's worth of internet-video).
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| How is eigencat not a thing? Try that search for yourself, "youtube eigencat" |
But these guys are talking about teaching not a network, but a wave of air. Not only is it not alive, it's not even a computer! Then again, the waves are the computer:
As proof of principle, they demonstrated an inverse-designed, inhomogeneous medium to perform English vowel classification based on raw audio signals as their waveforms scattered and propagated through it.You read that correctly. There are no circuits, no electricity. The physical system itself performs a recurrent processing dynamic, based on the way the waves move through space.
-source
It's the new thing, analog machine learning.
Check out this old news on computers made of other stuff that's not computers, like the Magic Dust Supercomputer, Slime Mold Computer, Crystal Calculators, and of course, the DNA computer.
Growing crystals to generate random numbers
Feb 2020, phys.org
Generating random numbers has always been a tricky problem for computer engineers because computers were designed to be as predictable as possible.
One of the more pressing applications of random number generation is data encryption—most existing schemes rely on the constant generation of random numbers.
The process of crystallization is random due to many factors that come into play as chemicals in a liquid solution evolve from a disordered state to one that is very organized.
A camera took a picture of each of the cups as crystal formation began. Each of the pictures was converted to a zero or a one based on nothing but the geography of the crystal. The zeros and ones were then strung together to form a random number.
New study allows brain and artificial neurons to link up over the web
Mar 2020, phys.org
Novel Nanoelectronics has enabled brain neurons and artificial neurons to communicate with each other using brain-computer interfaces, artificial neural networks and advanced memory technologies (also known as memristors).
Cultivated lab rat neurons from Padova were distributed into memristive synapses in Southampton, and then connected to artificial silicon neurons in Zurich.
-Alexantrou Serb et al. Memristive synapses connect brain and silicon spiking neurons, Scientific Reports (2020). DOI: 10.1038/s41598-020-58831-9
Advanced 'super-planckian' material exhibits LED-like light when heated
Mar 2020, phys.org
"We believe the light is coming from within the crystal, but there are so many planes within the structure, so many surfaces acting as oscillators, so much excitation, that it behaves almost like an artificial laser material," Lin said. "It's just not a conventional surface."
The robot that grips without touching
Jan 2020, phys.org
Acoustic waves -- method that makes it possible to lift and manipulate small objects entirely without touching them.
Chilling out - Physicists create exotic “fifth form of matter” on board the ISS
June 2020, Ars Technica
Algorithm quickly simulates a roll of loaded dice
May 2020, phys.org
Random number generation:
The algorithm, called the Fast Loaded Dice Roller (FLDR), was created by MIT graduate students and research scientists.
FLDR can use up to 10,000 times less memory storage space than the Knuth-Yao approach, while taking no more than 1.5 times longer per operation.Growing crystals to generate random numbers
Feb 2020, phys.org
Labels:
bioware,
eigencats,
human futures,
not-computers,
physics,
scifi,
wetware
See Robot See
Google Allegedly Used Homeless People to Train Pixel Phone
via Data and Society Institute
I'm not even sure I understand any of this. This is without a doubt a discussion that would have been impossible to imagine twenty years ago. (Although I think the idea is that "homeless people are free.")
"Should tech companies pay more for dark-skinned subjects because they’re underrepresented in training data? If our bodies are commodities, what’s a fair price, and who should set it? The data-ownership idea is, fundamentally, limited: Even if we manage, with the help of Hughes or Yang or state legislatures, to negotiate a high price for our data, we’re still for sale.Smart home tech can help evict renters, surveillance company tells landlords
— Sidney Fussell, The Atlantic
Nov 2019, CNET
When it's 2011 and you try to think about what face recognition will be used for in the next ten years... .
Stop Everything
Machine translates brainwaves into sentences
Mar 2020, BBC News
Without a doubt the story that we forgot, dawn of covid.
-image source: Wired
Mar 2020, BBC News
Without a doubt the story that we forgot, dawn of covid.
-image source: Wired
Labels:
esp,
human futures,
mindreading,
scifi,
telepathy,
the mneomonopticon
Artificial Memetics
When I search the term "artificial memetics" in 2020, all I get are people talking trash, like liberal artificial memetics, or the artificial memetics of masculinity.
What I'm looking for are robots that make their own memes. What I'm looking for are an army of artificial people to make an entire artificial culture so that we can finally live in a full-service anthroposphere.
-totally unrelated image source: Irina Conboy
Also this:
Memetic Warfare - BBC, front page
George Floyd protests - Who are Boogaloo Bois, antifa and Proud Boys
June 2020, BBC News
Original Text:
Cyber Swarming, Memetic Warfare and viral Insurgency: How Domestic Militants Organize on Memes to Incite Violent Insurrection and Terror Against Government and Law Enforcement, A Contagion and Ideology Report. Alex Goldberg - The Network Contagion Research Institute, Joel Finkelstein - The Network Contagion Research Institute and The James Madison Program in American Ideals and Institutions at Princeton University. Rutgers Miller Center for Community Protection and Resilience. Feb 7 2020. [pdf link]
Saturday, May 23, 2020
The Age of Approximation
New map reveals distrust in health expertise is winning hearts and minds online
May 2020, phys.org
Communities on Facebook that distrust establishment health guidance are more effective than government health agencies and other reliable health groups at reaching and engaging "undecided" individuals, according to a study published today in the journal Nature.
Distrust in establishment health guidance could spread and dominate online conversations over the next decade, potentially jeopardizing public health efforts to protect populations from COVID-19 and future pandemics through vaccinations. [link]
Medical science is an interesting subset upon which to study the dynamics of memetics. Ludwig Fleck used medical science to study his idea of the "evolution of a scientific fact" using the history of syphilis. He showed how the ideas that characterize syphilis (the syphilis meme) evolve via the sharing of experimental data between scientists.
Unlike some other sciences, medical science has a specific purpose -- to releive suffereing, or something to that effect. It can be measured, in controlled experiments, by the amount of people who are sick or well. If it works, or in another way of saying it -- if it's true -- then people get well. In a twist on the Feynman Psalm, you can't say that you understand syphilis until you can cure someone of it.
Let's shift from syphilis to vaccines. If we know how vaccines work, why, and not only if but how much of a positive health outcome we can get from them, then it should be safe to say that our understanding is the truth. And yet, as with many public health interventions, it is difficult to get people to believe this truth.
But this is something that Fleck also discussed in his meta-scientific discourse. He described two networks among which ideas are shared. One is a network of scientists, the esoteric network. This is where syphilis, or vaccines, are really studied, observed, worked with and thought about. The other network is the exoteric, the laypeople, the public. Scientists and the public.
Within either of these networks, the evolution of a scientific fact, as Fleck describes it, starts with an initial anomalous, ambiguous observation. This first idea, formless, spreads through the network with minimal restrictions, recombining with other facts from other disciplines and theories, in a prodigiously creative affair.
Over time, as the idea of syphilis begins to take shape, the network splits in two; all the rampant theories self-organize by their correlated characteristics and relative fitness, until there are two.* At this point the debate becomes ultimately controversial, and the scientists break sharply into their opposing sides. Eventually, one wins, and sets the final limits, or rules, on how we can think about syphilis, what it really is, does, and how to make people better if they suffer from it, and in the most effective way possible.
*In this case, fitness is "making people well".
The lesson we get from the current anti-vaccination network, circa the year 2019, is that science has to go through one more transformation to really be considered the truth. It needs to traverse the public network of laypeople, and self-organize within --their-- epistemological constructs, --their-- ideas of what things are.
A stark contrast, the exoteric network of the general population has a wild conflagration of code in its operation. This lets the network expand into all kinds of experimental dimensions as it searches for the best fit. Consider, the group of global scientists, large as it may be, is nothing compared to the overall population.
Yet, the popular exoteric network needs to self-organize. The more people, the more iterations it may invoke before it finds a fit that satisfies all the people in it. (Note that we're talking here about the idea being satisfied within your belief structure, not whether the idea is medically effective or not, because in the public sphere, that's not good enough.)
The meme takes shape when the network bifurcates, or polarizes. It trims the innumerable variety of personal theories, forcing or constraining the conversation. Those with outlying views, the undecided referenced above, get picked-off, drawn to one side or the other, and until there is only one.
What we're seeing firsthand is the exoteric vaccine-memetic-network crystallize and organize itself, through the data that comes from digitally mediated social transmission (ie Facebook posts). This new spread of misinformation is a growth spurt, if you will, in the evolution of the exoteric network.
A larger pattern being described here is that because the pool of people in the general population, through which this idea has to travel, keeps getting bigger, and keeps changing people, the truth is never really achieved, as it is a moving target. This comes to the same conclusion as Fleck, and the one that has most people flummoxed about it, which is that there is no such thing as absolute truth. Big data begets the age of approximation.
Study Data:
100 million Facebook users in vaccine community networks during the 2019 measles outbreak.
Post Script:
What is not mentioned in the summary article referenced at the outset, is how many of these users were known or suspected to be socialbots or composite intelligentities, vs real people. And therefore, we don't see the effect of non-human interference, ie socialbots programmed to amplify an idea, "artificially". I think we can just call it deception, and say that people have been doing it forever. Yet, we should keep in mind their effects, as they're only bound to increase.
Notes:
The online competition between pro- and anti-vaccination views, Nature (2020). DOI: 10.1038/s41586-020-2281-1. www.nature.com/articles/s41586-020-2281-1
Labels:
collective thought,
complexity,
culture,
epistemology,
fleck,
kuhn,
memetics,
mindmelding,
networks,
science,
sociothermodynamics
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