Regular update of your firefox extensions

I am thinking to write a script which will update extensions in firefox which have updates available for them.

I constantly see this problem of firefox memory leaking and CPU consumption where there is some update for the extension available and i have not updated, there is a huge memory leak and everything slows down.

I am thinking to write a script which will be invoked only when there is a update available i.e. comet technology (server push technology).

Firefox 1.5.0.2 memory consumption

Yesterday i have updated my Firefox to 1.5.0.2 and after only one day I am tired of the way it is eating my CPU and memory. Have a look at this.



As you can see there are no tabs in the firefox instance still it is eating 90 MB of memory which is quite unusual. Further it has high affinity for CPU and on an average it is consuming it for 100%.

Is it me only or everyone is observing this behaviour.

I am now using IE very reluctantly but it is very true that it is very important to have less features and simple implementation instead of complex features with complex implementation.

Wake up Firefox !!

I found out today that it is not the new version of firefox which was eating my CPU and memory but some (WengoPhone, Loki and Sameplace) extensions which i had installed long back and have not updated. I have removed those extensions and my FF is working fine now.

Quece - Conversational Search Engine

Quece is an avatar of search engine with different nuance. It is conversational search engine.



As shown in the image above I made a search on google and i had a converstaion with it and gradually narrowed down what I was looking for. Initally it provides with the list of results matching the search keyword by categorizing it into exact match and relative match. It then asks another question like "Are you interested in news/google news, 2005 google, business solutions or engine/engine google?" which helps in narrowing down what we are looking for. In other words, it tries to translate user's thoughts directly into a highly accurate search request. As user clarifies what exactly he is looking for, the results get updated and conversation is shown to the user.

It gives an impression that user is dealing with the engine in natural language and trying to make human computer interaction natural.

Quece is in beta stage and seems quite promising considering the accuracy and the way it deals with the user request. I am not sure how rich is their database indexing, it needs to be tested for many domains and covering many areas. Overall good product and I will defintely watch it as it gradually matures.