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The Structure of YouTube, Google Video Search, and the Mind

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The Structure of YouTube, Google Video Search, and the Mind

Both the YouTube and Google Video Search websites are structured with multiple categorizations. The user can select categories, such as sports, or movies, or most popular. The user can accept the websites’ recommendations or proceed according to a personal preference. The user can search on keywords that relate to how the videos are tagged. The website algorithms also produce search results based on statistical correlations that go beyond simply matching search words to video tags, creating recommendations based on how you and others have proceeded in similar circumstances.

This YouTube and Google Video Search structure is remarkably similar to Digital Mind Math’s structure of the mind.

In Topological Geometrodynamics, and therefore in Digital Mind Math, the M4+ X CP2 structure of spacetime represents intricately interconnected moving images: Four-dimensional spacetime segments M4+ represent three-dimensional objects as they proceed over the course of a segment of the fourth dimension, time. And these M4+ spacetime 4-spheres are connected with every other M4+ spacetime 4-sphere that they relate to, linked by wormholes in four-dimensional CP2 space, a space which permits unlimited linking.

The structure of the video websites’ video clips, accessible through their various search and selection options, can be thought of as Digital Mind Math in action.

The websites provide choices for how users may access videos—by category, by recommendation, by search. So the access process encloses these choices, which each in turn encloses further options for how the user will proceed.

One user approach is to browse categories, then select a category, then examine the description of videos in that category.

Another user approach is to accept recommendations and make a selection from there.

Another user approach is to move to the search box and enter keywords of interest.

Ultimately, these are all ways to reach an M4+ video segment at the end of a category path, or a recommendations path, or a keyword search path.

A particular M4+ video segment is the endpoint of multiple approach paths. It is enclosed within the category approach, within the particular category (sports, movies, and so on), as one of a number of examples that can be selected. Or enclosed within the recommendations approach as one of the examples that can be selected. Or enclosed within the structure of the search approach, reached by CP2 wormhole connections that best lead to a particular M4+ video clip.

This M4+ X CP2 structure is a real structure that will ultimately lead us to the real experience of viewing the selected video segment. The software underlying the website must have real links that locate this video and ultimately permit a real macrotemporal display of macrospatial objects in action.

And this M4+ X CP2 structure is also a p-adic structure, which in Digital Mind Math we have personally labeled p-adically for our use. The website’s underlying software has its own organizational labeling. Digital Mind Math puts forth the claim that organizational labeling of massive amounts of data is best accomplished using the great efficiency of p-adic mathematics, the mathematics of cognition, in which p-adic numbers operate within a vast, interconnected, labeled informational space.

For example, according to Digital Mind Math, we may proceed along the p-adically labeled path 0.1 YouTube, rather than the p-adically labeled path 0.2 Google Video Search.

Then we may proceed along the YouTube categories approach 0.11, rather than the YouTube recommendations approach 0.12, or the YouTube keyword search approach 0.13.

We select the popular category 0.111, rather than sports 0.112 or music 0.113.

And it’s the seventh popular video 0.1117 that strikes our fancy, so that’s the one we watch.

Now we’ve changed the structure of the YouTube mapping, just as a thought changes the structure of our mind’s mapping: YouTube updates the view count of our selected video, reflecting our watch time and our user engagement. And YouTube updates its personal record of what we viewed, and the statistics for the path according to which the selected video was reached.

This process is analogous to how our mind’s history of selections that we experience creates new links and strengthens links that had already been present.

Incrementally, YouTube’s massive interconnections to this video have now strengthened along paths that correlate with our own profile, since these paths represent the character traits and past history of this one additional viewer of this particular video.

 

Google Search

Now instead of p-adic path 0.1, going directly to YouTube, we could have elected p-adic path 0.2: Use Google’s search feature to find videos that interest us. This might lead us to YouTube videos or to videos on other sites.

The Google search process also bears a remarkable resemblance to the Digital Mind Math mapping of the mind. For one thing, there is the real web itself, which we will ultimately access, just as the Digital Mind Math cycle continually brings us to the the real experience of a selected thought. But, similar to the Digital Mind Math cycle’s steps of possibility generation and selection, which proceed using p-adic mathematics not real mathematics, the Google search process does not search the web itself—it searches Google’s index of the web.

So right away, we again see Google search’s dually labeled structure, in analogy to the adelic mathematical structure—both real and p-adic—of Digital Mind Math. Underlying the Google search is a web filled with articles and images and, in this case, videos. But Google has separately indexed the web, intricately mapping the interconnections of videos and what they’re about and how they’re tagged and who views them and what else these viewers view.

The web is out there, in all of its real glory, ready to be experienced. Google has indexed the web, mapping connections and mapping which videos enclose which content.

The structure of video search sites such as YouTube and Google Video Search is remarkably similar to the Digital Mind Math structure of the mind:

•   An index or mapping labels the content that the videos enclose . . .
•   . . . and also interconnects every video with every other video that shares themes or subjects or important words.
•   The index or mapping is not the web itself; it is an indexed, mapped set of interconnected labels of material on the web.
•   When desired, the user may click to view the real video, as a macrotemporal and macrospatial experience whose label we have been led to.

The Process of Thinking

 In Digital Mind Math, thinking proceeds according to quantum physics’ core elementary particle process, the collapse of the quantum wave function's superposed possible states to a single experienced state:

 (1) Generation of possible next thoughts, by:

      (a) Adding detail, or

      (b) Migrating to a connecting thought.

(2) Selection of the next thought, guided by the maximization of information content.

(3) Experiencing the selected thought.

 

When we use Google Video Search, we enhance our mind’s natural Digital Mind Math capabilities by taking advantage of what Google’s elaborate search engine can do for us.

Google enhances our generation of possibilities for the next thought by generating possible videos for us to view. It does this by giving us a very human-friendly user interface: We can just type in words that describe what we’re interested in. Then Google gets to work, selecting hundreds or thousands of possibilities that incorporate our keyword concepts, that use or relate in some way to the search words that we typed in.

And Google also helps us in our process of selecting a video, based on the maximization of information content.

In the case of a Google web search for a relevant prose article or document, Google selects articles based on multivariate algorithms that look for our search terms, count how many times they appear in each article, rate the article higher (that is, ascribe a higher information content) if our search words are in the title, or if the website is of high quality or rank, or if it’s referenced frequently.

Video search is similar, although video search must inherently rely less on content words, and more on tags and observed interconnections.

And we, as the user, have work to do too; Google doesn’t do all the work for us. Google gives us its ranking of possible videos to view, based on its algorithmic analysis of information maximization. But Google recognizes that it can only go so far with its algorithm: The personal, human element is needed to make the actual final selection.

We then experience the selected video. We watch and listen to the real video, not just a description of the video drawn from Google’s index of the web.

Again, the Google Video Search process, when considered in combination with the human efforts, is a process that describes remarkably well Digital Mind Math’s model of how we think.

If we searched for a video using YouTube’s search feature, the process is very similar to the Google Video Search process of sharing responsibilities with the human user. Depending on the particular YouTube approach that we use, there may be a somewhat different split of responsibilities between what YouTube does and what the human user does.

For example, if we proceed along YouTube’s categories approach, we (the human user) will do more work, since the videos within each category will not be presented in an order corresponding to the specific interest we have today, because YouTube’s ordering within categories is reflecting general user interests, rather than our own specific interests.




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