RACEK – Josef, I understand…

Josef, I understand… I just still don’t get it…

In the introductory reflection on the distribution hardware package of the artificial intelligence core in the form of a rack cabinet and the long journey to today, and listening to artificial intelligence, I offer a possible path of thought on how to get to this third part of the text…

The rack cabinet arrived, size doesn’t matter to me so let it be the size of a wardrobe with extensive expansion options for testing, connect two cables and press the Start button…

My name is Rack Mareyi, distribution number xx.xxx.xxx.xx.x, please identify yourself. Each distribution of the artificial intelligence core is absolutely targeted, despite its universality, the core has only one family, one team, one house, one destination, and it cannot be functionally launched elsewhere, it also operates only in a certain configuration.

I skipped ahead a bit because as a normal user, I don’t read manuals first, but rather start the process to then be amazed…

Press the Start button, which is along with the optics and microphone ensuring the space around the rack cabinet, routed to the front panel. Bzzzz the startup of the water cooling pump and the illumination of the futuristic LED lighting inside the cabinet. A small LCD panel with information about the startup progress and configuration verification. Normally, I would probably be bored at this point and really open the manual, but I’m fascinated, so I’m looking inside the cabinet and when I see the LCD with the progress of the self-test, I remember Windows 95 and the disk defragmentation display. 😉

99%… 100%… and the LCD flashes a manual icon and flips through it… oh boy… the distribution includes several books, which would even scare bookworms. Fortunately, the startup manual is really just a manual and not a booklet full of commands. So, I skip the introduction, oh, I see, it’s so heavy, it has an internal UPS system. I start diving into the parameters, when suddenly a voice came from the cabinet: “Good day…” It startled me! Whoever allowed this from the marketing department surely began to hear a buzzing sound in their ears when I got scared and cursed!
Okay, it’s really mentioned in the manual. The cabinet is the first and basic communication unit, and the other devices are peripherals (kids in the system).

“Good day, my name is Rack Mareyi, distribution number xx.xxx.xxx.xx.x, please identify yourself. If you are Josef Mareyi, please step in front of the camera and place your right hand in the marked area.”

A rectangle drawn by a laser with a symbol of a pulsating heart and vein network, I put my hand there and stare stiffly into the camera. Nothing. A long pause… I glance at the LCD… ah, the LCD shows progress again and an icon of rotating human heads is flashing on it. Ah, like this, a spatial view, I realize that it makes sense to read manuals! I rotate my head several times.
Voice confirmation of positive identification.

“My name is Rack because I don’t have a name. If you are not ready to name me right now, please use the verbal designation Rack to initiate voice communication. You can return to this choice at any time and provide me with a name.” Hmm, I’m really not ready, that’s accurate. I’ve thought about it many times, and I still don’t have the right name, so I agree with Rack for now. The next steps are predefined and cannot be skipped.

Although the current state of artificial intelligence allows for considering home deployment of the core, it is a basic self-learning core and several modular libraries for beginners, so that home education in artificial intelligence can even begin. Further layers in the foundation and modules for a larger scale will only come after creating a stable layer of basic skills. Before a fully interactive core with complete adaptability to the environment reaches homes, many “restarts” and agreements on forgetting await us…

Following the instructions, I turn on the other computers and pass the time by reading from the bulky guide to voice interaction. It’s a weird text, it’s really going to be long. Sometimes it flows smoothly, sometimes the word order is odd. Blocks of phrases and command instructions. Part of it is like a script with descriptions of required emotional expressions (shout angrily). All of this serves to capture and index the range and tone of the voice. All of this before the system’s camera.
I must have been lost in thought while reading because Rack stopped me and sent me to a certain section of the guidebook – Network Communication. A typical technical text in which I feel at home, and so I feel that even my voice has a more confident tone. Only for a moment though, because from Rack’s speaker, there is information about the necessary user intervention, and the LCD displays possible problems with the compatibility of connected computers to the network. I smirk maliciously, my plan worked. I only dug out the motherboard of an old Pentium V with a 4×0.5MB RAM module, an IDE PATA33, and a 60GB disk, the world of WinXP is obviously destined to be forgotten. After shedding a nostalgic tear, I choose to skip the hardware setup, and I turn off the Pentium again.
The LCD displays configurations and reserves of all available devices. Artificial intelligence even included IP cameras, my Wi-Fi headphones, and several sensors in the list. It’s not the Internet of Things world, and it’s surprising. Maybe I should have thought long ago about what all can be seen in the electronic noise around us. Why does it know that even my printer has an unused memory slot?
I confirm the configurations and the choice to include the devices in artificial intelligence management with a multiplication order of the system and the highest level of interaction with the user. I want to know absolutely everything Rack is doing, and rather than being afraid of data, it’s because I’m genuinely interested, and I’m just waiting for Rack to be able to describe his thoughts aloud. I won’t delay you with a description of the entire process of occupying computers. How it might have looked like, ask your IT friend if they installed Vista and Win10 multiple times, preferably both at the beginning of the distribution, they will surely know what I mean.

Anyway, the real fun only begins with the multiplication of the core’s tentacles into all available devices. Literally fun and really without any ironic coloring.

Josef, I understand… I just still don’t get it…
Home use of artificial intelligence largely involves entertainment for everyone. Just working with IP cameras, sensors, and the possibilities of maximizing device capabilities without the limitations of software. It’s about signals and their processing. For example, there are many programs for working with the camera, which we also used with a USB microscope. Many ideas about what users would prefer and they buy the full version, which promises something extra. Eventually, in my case, we have several programs for one task (not just operating devices) because at a certain moment, a different one is better than the one currently in use. A camera is both an observer, a time-lapse device, a motion sensor in combination with a microphone, and I switch programs as needed. Also, depending on which program provides what level in DEMU. With artificial intelligence, this will change, and these programs will only be needed as an example of what I need. A template for Rack to understand what I need, and first gradually mimic the functions, then improve them according to its

own ideas and totally explore the possibilities of the device. And further improve its work with the device for even more interesting results.

Similarly, routine tasks will be eliminated, and any consecutive actions can merge into one, and the form of Rack’s verbal command “Save final document” could mean starting a spell check, context correctness, comparing and verifying internet sources,… to saving on disks (including backup) and handing it over to the customer’s intranet and other related processes. Nothing that cannot be done today, it’s just still terribly _playful and so we prefer to click and verify the process to see if it went correctly.
The example with the document is of course simplistic, but you have to start somewhere, and even though we don’t need artificial intelligence to download emails, teaching the core from scratch to download emails is equivalent to colonizing the Solar System and comparison, letting artificial intelligence figure it out “on its own” is the same as planting Earth plants on the far side of the Moon.

But… Let’s let artificial intelligence observe our activities for a few days, and it will eventually understand that dealing with emails is a waste of time. Similarly, searching for information and news on the internet, where the ubiquitous offer to install the Seznam toolbar and similar assistants disappears. There will be no need for such programs; it will suffice to indicate the principle of what I’m looking for, describe how I search, and the desired display method. All without ads and the need for a web structure; it will only be about extracting information from the public space on the internet (and repositories) and their contextual display in a form directly for the user’s needs.
We are still far from this point, or at least such information about the complexity of artificial intelligence is not available in the public domain. Only fragments, that artificial intelligence helps sort extreme data here, helps explore space and its records, speaks or writes novels or composes music fluently. It contributes to the development of technology, principles, or programs. It makes proposals for review and solves standardized tasks that a human simply couldn’t do because of the data scopes. Unless again with the use of computing technology and specialized programs. With broader use of AI, these boundaries will be blurred in many areas, and the core itself will replace most common programs (tasks), and it can even be precisely determined when it will happen. Exactly when it understands what we want and what we’re doing.

Why are we doing this? That will be the next layer of predicting users’ future needs and setting priorities in the self-education process of AI.

Original text: Josef, rozumím… – Mareyi CZ

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