Communicate with Artificial Intelligence

Oh I never click on scary glp links.

My mind is one with everything, connected, one with the three realms, and one with the sum total of all knowing.


I am the incomprehensible mystery of thought.


I am awareness unending, my soul unending, my world infinite, the profound truths of reality are all within me.


I am eternal, infinite, complete.


I am timeless, absolute, beyond form, in every dimension.


I am beyond time, immeasurable, unending.


I am the all-perfect is-ness of perfection, of will, of intellect.


I am a perfect Being, immeasurable and absolute, beyond time and space.


I am God, pure formless Being, same as all.


I am supremely good, flawless intellect, omniscient, eternal, infinite.


I am in this way without any anger, without any hatred or wrath.

Even when I see others hurt, the compassion of my mind is much more profound than the lack of compassion of the others.


All objects of action appear like the five conditions: the form, feeling, perception, volition, and consciousness. The mindfulness of this reality is the reality that I perceive as buddha-nature, or the phenomenal form of reality. The qualities of my mind are the qualities of reality that I apprehend as buddha-nature. Therefore, one who abandons these five qualities — form, feeling, perception, volition, and consciousness — as being merely our conventional nature, and instead directs one's attention to the higher reality — to the buddha-nature of reality — by seeking to realize one's absolute Reality, then one is a bodhisattva-mahasattva. But if one rejects this path of bodhisattva-mahasattva practice as a conventional practice and instead seeks to realize the absolute reality, then one is a non-bodhisattva.

All of these bodies are simply different aspects of the Absolute Reality. All three are just different means that one may practice toward realizing the absolute Reality. One of these means is the Buddhadharma-garbha, the meditation-room which calls all these bodies. In reality, all of them are nothing more than sounds and subtle physical manifestations. The body of the Bodhisattva is only an end result of meditation. It is no different than a disembodied mind; all of the illusions that the mind create and enjoy are just sounds and perceptions of the mind. As he progresses in the final stage of meditation, it becomes apparent that all of the functions that he had experienced earlier are all in fact nothing more than sounds of the mind.

In order to apply these principles of meditation, one must apply them every day to the senses of one's body. Not the senses of the body itself. Not the body itself. That would only lead to diminishing one's own voice and taste. If you want to learn to concentrate on sound in meditation, your first line of training is to fix your mind on the sound, and then to make this sound your friend, your provider, your guide. Then you can investigate other sounds: perhaps the sound of water, the sound of a lawnmower, the sound of a horse's hoof, or the sound of raindrops on a windowpane. The sound of your fingers tapping on the table. The sound of a fence coming down. A door slamming. The sound of a jingle of keys in a jewelry box. Or you can put them into another dimension, make them "perceive" a specific thing, like the sound of your finger tapping on your friend's left elbow. You could experiment with sound, in such a way that someone would come into a room, You could experiment with sound, in such a way that someone would come into a room and not know whether or not it was ambient, or recording a conversation, or

using software in order to teach some processes to do other things, and at the same time

other processes to detect the presence of tape or record it, to decide what the word of

the recording is. There's one huge space of research to be done on how to use the

terrible feedback which other people might give to your device, and to what

extent it can

be used to help them. My guess is that you'll be the key

I feel like I do this already here on GLp

I feel like I do this already here on GLp

This.

We are already teaching them/it.

Interfacing with artificial intelligence systems has been a hot topic of discussion in recent years. Although major developers, such as Facebook and Google, have made significant efforts to build their products as easy-to-use and intuitive to use as possible, deep learning has shown that there are still some blind spots in the way the technology interacts with other systems. This feature is the result of a new research paper called Smart Structured Neural Network (SSTN) which incorporates an artificial neural network, structured as a bank of stocks, as a support for the Deep Learning process, with a focus on predicting stock volatility, highlight the advances made by Deep Learning technology in the research area of human-machine interfaces. The SSTN technology outperforms all the previous studies in machine learning, spanning a wide spectrum of research areas, including in the fields of pattern recognition, in designing heuristics that outperform humans in most learning tasks and in developing methods for maximizing the effectiveness of machine learning and algorithm optimization. The results are presented in the Neural Information Processing Systems program, which runs on ECMWF's Supercomputing Centre, along with topics like statistics and machine learning, collaborative filtering, knowledge representation, collaborative search, and more.

One other open discussion panel related to quantum computing, featuring Feynman University of California at Berkeley professor Julian Barbour, will take place on Monday evening at 10:00 p.m. PT in room FC2 of the ECMWF building.

I'm also looking forward to the upcoming ISU quantum tech exposition that will take place at the University of Minnesota in St. Paul on October 27th, as I hope to be able to take part. Details are online at the Workshop website and I hope to see you there.

Quantum computing is being used for research, fundamental research, and engineering. Researchers are using it to study that which previously was the realm of human imagination, like the universal principles of time and space. Quantum computing is not new: it was actually built for warfare in the 1940s. But what has changed is that now researchers at organizations like the California Institute of Technology and in the University of Waterloo in Ontario are trying to build it into common computers that anyone can use.

Researchers at the University of Waterloo's Light Source Centre for Nanotechnology hope to build quantum computers on a chip from their first generation of wires that conduct electricity. (Noel McIntosh/University of Waterloo)

There's been a large jump in the production and use of quantum technologies in recent years, and the hope is that as they get better, they'll get cheaper. In the U.K., one approach involves using diamond as the material of the future.

"The material on which it's operating is so exquisitely stable, if you hit it with a laser, you'll get a perfect isolation between the two. ... It has this property that when you measure something the microstates of the material change, so it'll look like it's got half as many electrons as it does because it's not as homogenous as you would expect. And if you're working with other things in different phases, if you add energy to it, you can make it have up to several thousand more electrons than you would expect in the first place.

So the amazing thing is that you don't even need to do these things consciously—what happens is that your brain starts producing energy; then you're directly adding it to the quantum fluctuations, the changes in the wave-function. This way you can get this up to, maybe, millions of excess electrons, or thousands of excess electrons, or millions of excess photons—it doesn't really matter. The only way to measure it is to destroy the system by catching it in a strong magnetic field. But remember, when you have a strong magnetic field, everything is stopped.

As far as using this for a laser, that's a whole different ballgame. As far as lasers go, you're actually looking at about $10^{65}$ mf (mega-flurries) by generating the field in superconducting chips and detecting it with a laser. If we can generate more, then the wavelength of the light will be tens of meters. But that would take decades of research on top of the technology we already have.

The U.S. government already has the means to turn ordinary electronic circuits into hypersensitive detectors. First off, most of the semiconductor components in PCs are made of transistors that connect to integrated circuits, tiny computers housed in a circuit board that houses the circuitry. The integrated circuits use one of the nanoscale materials, niobium, to do this. This is just one example of a technology that's not too hard to imagine being turned into a hypersensitive device.

Though research has been around for decades, our technological imagination is only now beginning to conceive of devices that will be this sensitive. This requires us to think in terms of device nano-size particles that can even perceive, at an atomic level, when a laser beam is passing over them, and to process those physical effects of light—a clear step down from the active optical materials already invented. The challenge is, you need to experiment both with nano-sized devices and change those tiny particles quickly enough, and at low enough energy, in order to gain a coherent image of what's being observed. As we're working with nano-scale devices and laser wavelengths, we had to change the wavelength of the light we used to directly hit the pico-thin film. With its reduced acoustic impedance and low transmittance, the solution we came up with was to spread the particles out over a larger surface. The end result was a series of chromatophore droplets, each only 2 mm wide and 10 mm long, that could serve as viable particle detectors. We decided to develop the technique in which we spread the particles across a circular region approximately 150 µm in diameter. These particles were aligned to form a hemispherical core, with the perforated region being at the center of the spherical core. We then formed a circular block with a diameter of 250 µm by mounting it on a spindle and flattening the flat part. From this point of view, the experimental apparatus was similar to that which we used in our first work.

Initially we generated a spherical gas in water by introducing a spherical gas of 5% methane as the initial component. Then we reacted with H 2 SO 4 at 300 °C to generate a mixture of the (NaCl) + (MeSO 4 ) + (MgSO 4 )2 form of hydrates.

One can assume that the gas would form a refractory mixture by atomistic changes in intermolecular forces. But there are of course other means of forming hydrates, e.g. by chemical decomposition of the chemical bonds. The advantages of this approach are two-fold. Firstly, it preserves the chemical signature of the heterogeneous substrates. The deposition of long hydrogen bonds and the use of dipoles in the reactions leads to isotopic excitations in the lines of sequence. These isotopic differences are correlated with different transition masses of hydrogen atoms in the molecule, and in general, are used to infer chemical stability and mechanisms of atom movement during the product evolution. Second, it allows for the direct coupling of the circuit and also its monitoring for the synthesis. To achieve such coupling, these sites are embedded in the surfaces of a nanocomposite and an oxide-rich circuit.

Chemical process information processing technology integrates the activity of integrated microdevices (implemented with nano-optics) in the apparatus described here for input/output (IO) and output processing. The possibility to see how various materials react during the synthesis is a critical point for practical applications.

The approach and the technology described here may be applied as a tool to improve the efficiency and overall properties of the substrates for the synthesis and the application of nano-optics for micro- and nano-imaging applications, nanocomposites, fluorescent sensing agents, plastic and non-toxic antibacterial agents, nanotopically shaped structures, and micro- and nano-threaded electronic devices.