Our earlier post about the Semantic vs. Synaptic Web has raised some questions about the users of this new web trend. Why do we think it will be about the users and no more about the computers talking between each other.

Image via Wikipedia

We can reference a bit with Ghost in The Shell. There is a network in which everyone is connected, our bodies are cyborg and only our brain and thoughts are real and even those can be manipulated if you know how.

How would we fit into the picture at our current age and development of web. We can look at it that we currently have this giant network of data, information and everything. The data is being processed, manipulated and given new meaning each second through mostly open API that people are giving out.

Here we then come to our brains and us as users. We alone read the patterns and connections that start to establish around the things. We give the best feedback to developers. Pushing how we use the application, trying to make it as much human as we can, but the machine can not learn so fast, there is still time to put in and connection that we must establish.

The synaptic web is focusing just on that, that we establish the necessary connection through user interactivity instead of just reading and parsing the text material data and produce extracts, tags and other meta data around things. The user should show us their patterns of use. We are each an individual, using the same applications in different ways.

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So tracking the users behavior and incorporating the connections in the application is the thing that Synaptic Web in our opinion will do. As Semantic Web was just gathering the data and extracting meanings, upgrading the web to a machine learning stage.

The Synaptic Web will hopefully bring the next step, connecting the machines to users and helping users interact with them in a simple way. All users really want is to get the important information for them first, without having to distinguish and apply their own patterns daily as we do currently.

Synaptic Web is the brain-computer interface of the web.

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So what do you get when you take some AI, all your social and RSS streams and combine it together. Well you get this mobile application for iPhone that shows you only the cool and interesting things you want to read.

First you go to the app store and get the “my6sense” app on your iPhone, well yes it is only for the iPhone at the moment. Then you make your account and start linking your social streams and import your Google Reader stream. All nice and fine with a quick import, only takes a few minutes to parse through hundreds of feeds as it only catches the titles I presume.

Then you start using the application, it ranks your reading material so that the one that is more important to you is at the top and it adapts based on what you click and what you don’t read. It states it takes a few times before it catches on your trends. That is quite common as we all know that the algorithms need initial data to be able to suggest things. It also gives you this visual bar from hot to cold depending on how “smart” the application is in showing you the posts.

Overall it is a nice application, but it is only targeted on the mobile market and I also need to remember what I already read for when I get back to the computer and find myself back in the normal flow of the day. A web based solution would be a way to go, well we’ll see to that at a later time.

It is an initial path that uses the synaptic web and connections that are opening around us with all the information that we have. We can predict to see many new adoptions and resolutions of these kinds of application in the next year.

As such we wish everyone a high productive year and exciting new opportunities in 2010!

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The pace of the world today seems to be on the fast forward button. The information we get and process daily exceeds what we actually remember and as such we constantly read information selectively, only the ones that are important to us, others we quickly put in the back of our minds and dump maybe just for a later reference or discard all together as we do not think it will be useful for us.

The news we used to read in the newspapers at breakfast has already shifted to reading the latest blogs and news sites on your laptop while drinking coffee. That is just the first morning input, to see the world happenings in our field and around us while we have been asleep.

When we get to work, we usually open our Twitter and other Social media networks and see what our peers shared with us. Usually we get a lot of same articles recommended to read. Well if I am already reading TechCrunch or ReadWriteWeb it can be assumed I am on top of the web tech scene. But even though I read it daily, that does not mean my friends do and sometimes there is an article really worth spreading around and it pops out on every little blog or network you can imagine.

That article can be remixed with different titles, opinions and links through the url shorteners, so you never actually know if it is the same. You go and click on it, but then you see you already read it, probably like 3 times. Wouldn’t it be nice if you could filter all the mentions of the article in just one mention. Going from having 5 retweets, 3 blog posts about the topic and possibly 2 email forwards, to just having 1 mention which combines all the other 10 streams. Filtering unneeded data and condensing the info for you and as such saving you time.

Currently we use RSS feeds, Google Reader and all sorts of channels to gather what we want. We try to organize it into categories, folders, but all that does not filter the actual data, but just rearranges it into boxes that we process at some time. Depending on our habits, we read different articles in the morning or during work and it changes also on the day it is.

So the true question is how to shift our attention from categorizing and parsing all the news ourself to letting the computer do that for us, learning from the connections between the news we read what our friends give us through the social networks and combine the nodes into a “growing” environment of smart information targeted at us, but also still giving us the discovery part of new things as we do not want to be trapped in the box.

Tell us your opinion on how far are we from lowering our information overload?

The preona team would also like to wish you a Merry Christmas with best wishes and some nice quality time with your families over the holidays.

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