I have very often expressed my frustration at how far behind Apple is, in bringing out a mac version of Java 6. The deveoper preview is stuck , with the last beta dated at Sept 2006. Along these lines, apple stopped updating the Quicktime for Java API for the last many releases, with new functionality only available from the objective-c library .
Recently at the Oreilly Ignite II event, one of the speakers who had developed an amazing visualization centric Java environment expressed his frustration at how apple seems to have gone back on its pro-Java image. Why they would want to do that is beyond me, the novice coder. I am seriously considering my next machine to be a gentoo linux only machine. That way I can just use the SDKs from Sun or even the several openjava ebuilds.
It just seems like the community ( like the Linux community) will always safeguard the end users interests more than any company and its associated hype machine. This lack of dynamic support from Apple for the newest stuff from the Sun stable is probably the only thing making me regret buying a Mac.
Deepak at bbgm and Simon Brocklehurst pointed me to the uproar that scobles post a few months back caused. In his post Robert scoble said search engines like Mahalo and not google are the future of the internet . I am beginning to agree with some of what he said.
I want to explain myself with the following example. I have been reading up a lot on two subjects , one is ffmpeg the open source video and audio library and the other is on “mouse kappa light chain” sequences. In my own search for information on these specialized topics I have probbaly used google only about 20% of the time . The remaining 80% of the time I spent on reading the ffmpeg archives offered up by gmane the open source mailing list search project and my own search within my archived gmail label “ffmpeg”compiled from mailings in the ffmpeg-user newsgroup. Similarly for the mouse infoseek I spent almost no time on google , but instead trolled around the pubmed and ebi databases for all my relevant information.
The 20% google time was spent aggregating my information on google notebook besides doing quick searches on people or paper titles once I found a relevant source to find related content on the web.
All of this had me thinking that say the ffmpeg lead developers or community were to start a specialized manually annotated search repository . I would almost never turn to google for any of that domain information. The same holds true for the mouse sequence search !.
So the bottom line..I can start to see why manually annotated and curated search starts to be a big deal…because we all know that we rarely go beyond the first page for a google search result. The human expert just makes sure that the first page of any search is most likely to be relevant ..no matter what pagerank it has.
As you probably saw from my post on processing, ignite-boston II was a blast. I was there talking about opening up science and bioscreencast.com. The talks at this Ignite were really interesting .
I especially liked the one by Ned Gulley from Mathworks who spoke of “Tweaking” a wiki-like matlab based programming contest. Tweaking is a great concept that effectively mixes collaboration with competition. In traditional code-jams and programing contests groups usually work in relative isolation to submit their best code for any given task which is then ranked at the very end and a winning group declared. In Tweaking all user entries are publicly displayed throughout the week that the contest runs. All entrants can modify and adapt each others code to move up the ladder. As each tweaked entry is submitted a secret test routine dynamically ranks the entry and it moves in the ranking. In Tweaking even single tweaks which result in a leap in functionality can move an entrant up the rankings and this opens up a whole trajectory for code improvement for all participants.To mix the wiki like collaborative element with code competitions seems to be a great way to enrich the coding experience for everyone.
Ned spoke of a series of projects , including one on SARS phylogeny and a lattice model protein folding simulation which tingled my structural biology neurons. Neds paper on tweaking talks about how tweaking is not only a fun learning experience for all participants, but also an interesting study into the nature of collaboration and the interplay of motivation , reward , collaboration and competition. If only all science projects worked like Tweaking.
Image Credit: Mathworks Tweaking protein folding competition
Ned blogs at the Starchamber, a blog whose Resident buzzwords are : synthetic biology, ambient displays, swarm robotics, wise crowds.
I first heard of processing , from a post on Natures Nacent blog in which Euan Addie talked of how terrible visualization tools in the bio-space are.
I heard Ben Frys talk at the Ignite Boston event where he introduced processing to the audience and also gave a breathtaking demo ( despite the contrast issues that the venue had) of the app. Especially amazing was his visualization of the HapMap data ( including one that was featured on Nature Magazines cover).
Ben is writing a book for oreilly called Visualizing data ( available through Oreilly rough cut) . I plan to start playing with processing and definitely recommend checking this space for the video link to his talk which should soon be up.
Image: The Processing book written by Casey Reas and Ben Fry