Twitter and Freedom #snakeonthetown

http://bit.ly/holY3Z

Call it the influence of the tweeting-freedom, the disappeared egyptian cobra has been found tweeting about her funny side.

She now has more than 150K followers; despite could not be located and ironically follows the only one: http://twitter.com/TheBronxZoo.

It will be interesting to see where the twitter account holder takes it to. I hope it just stays on its funny side without biting anyone.

The zoo explains:

The difficulty is that the 20-inch, pencil-thin snake, which is months old and weighs less than 3 ounces, has sought out a secure hiding spot within the Reptile House. The holding areas of the Reptile House are extremely complex environments with pumps, motors and other mechanical systems. In this complex environment, she will likely remain in hiding and not move until she feels completely secure. As her comfort level rises, she will begin to move around the building to seek food and water.

Well, following her shall not be crime!

http://twitter.com/BronxZoosCobra

Search is dead! time for social search

http://bit.ly/idxnNH
Yes, searching has become irritably daunting task.
Have you ever tried searching some keyword and found that the lower links displayed may have higher relevancy than the upper ones? Or the second/third link was more relevant than the first one?
The time is for decision-search. not search-search.

Social Search:
I do not think that the concept of social search is new in anyway.

If you wanted to  go to a restaurant, what would you do?
The first thing is search the restaurant. The second thing that immediately comes into your mind is what I am going into/for?
For the best experience, we ask friends who have been there. In today's internet dominated by social media, searching for such relevant ideas would be definitely a nice input for making decision on whether we would like to check it or not.
One more layer of work here might be the layer of social recommendations. Say, your friend says that the customer services of the garage is not good enough. Would you try it? You would not want to go to the places where your friend have not been treated well.  As your experience might turn out to be similar. Thus those places can be filtered out from the results.

Recommend:
Recommend could be another nice feature. Based upon the social search parameters, the machine learning algorithm can recommend the nearest results. For example, if I am searching to buy a printer or computer I would first love to talk to a geek next to me. Based upon his recommendation, I can be assured that I am getting the best out of my expenses. Thats how the social recommendations work. This can be easily adopted into present-day internet dominated by social networks.

Applications:

• Amazon search for books.
• Google/yahoo/bing Search or say twitter/facebook search
• google/yahoo/bing map with social search layer.
• reading circle

One example would be the "like" button of facebook. "Like" is approaching towards creating such database. Since, people never have hesitated to click on the like button; they are helping create a huge database of "like". Once we have access to all the likes, the next would be Recommend. I wrote about it  here...http://bit.ly/hPHIS6

TLDR: Google goes+1 http://www.google.com/experimental/index.html

One of the presentation that I liked about social circle: @p186: people should be able to say it anonymously.

The Real Life Social Network v2

View more documents from Paul Adams

Smart Robotic Birds and Insects

http://bit.ly/htT3HK

From Bio-mimic to real life design.
Amazing!

3 D printing is set to revolutionize the world of  prototyping.
Here is a flight demonstration of an untethered 3D printed flapping hovering ornithopter from the Cornell Computational Synthesis Laboratory. http://ccsl.mae.cornell.edu/ornithopter

NST: Nepali Standard Time

Nepali Standard Time is GMT + 5:45 which is among few weird time zones who differ by quarters of hours from standard GMT fashion [http://www.worldtimezone.com/faq.html].

Bye Bye Digg, Hello Reddit

Digg.com was one of the news source for me. Now, I am making a switch   to reddit.com.

No win for simplicity.

It takes few minutes before getting oriented into it. Once familiar, it is very simple and easy.

Here are the rules:
http://www.reddit.com/help/reddiquette

A graph:
http://www.google.com/trends?q=reddit,+digg&ctab=0&geo=all&date=all&sort=0&

http://www.reddit.com/r/AskReddit/comments/g8jiq/reddit_whats_a_littleknown_site_you_think/

Note:

I wrote this in Nov 2010, then buried it as it needed a lot of polishing. I wish I had published it. I am publishing it anyway.... 

Google Blogger can Improve on nav-bar

Google's Blogger has potential area to be worked on and developed.

The nav-bar has been there and have been more or less ignored to the extend that many prefer to hide it instead of keeping it.

Few usages:

1. Get me the "next blog"  by similar tag/subject.  Make visiting "next blog" credit based. Put some incentives on visiting next blog.  It is similar idea to MyBlogLog or even stumbleupon, but worth trying!
2. Bring Friend connect to Nav-bar. The follow and share has been added but has not impacted the audience yet.
3. Fuse the above two ideas!

All the best!


EDIT:

They just announced a new dashboard.

From Like button to Recommend in Facebook

It might already be there on the air.

Facebook's Like button can be generalized to create some product called "Recommend".

Say, if you liked apple, orange and banana, you may also like mango... How about strawberry?

Similarly, if you liked a blog post or article tagged as "politics", then you may also like another post with the "world news" tag in it.
Something like that.

I know that Amazon already has it. I am not sure if Facebook has it.

One could also scan the user's cache to recommend the items from their history. Sounds intrusive? Well, did not you (already) give up the idea of anonymity by Liking it??  If you liked google's adsense, you will (also) probably like this idea.