Great article from Adobe DevNet on web 2.0 definition and problems, one of the best on the over-discussed subject I have read so far:

http://www.adobe.com/devnet/articles/web_end.html

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Today’s the day we make Mother Earth our b*tch:

Since it’s a little too complex to put in a “How Things Work” book for kids, here’s a slide presentation from Google Fellow Jeff Dean on Google infrastructure and handling large datasets, found on Yahoo Research:

So much is always made in our industry of Google’s leading edge employee recruiting and retention practices, here’s a great article on how much Google spends per employee on food from Silicon Alley Insider.

By my estimation, by serving employees both free breakfast and lunch, they are getting them to come in the office 1 hour earlier and stay inside closer to their desks for lunch. Meals in those cafeterias usually last 30 minutes, so 1 hour of eating per day per employee garners Google up to 1 extra hour of productivity per employee per day (1 hour earlier to work – 30 min + 30 min saved not going out to lunch). So they are spending $30 per day and gaining up to let’s say an extra $100 in potential revenue earned on average (company-wide, in silicon valley dollars), so that’s $70 extra profit potential per employee per day * 9600 employees * 251 days, that’s an extra $168.7 mil in the bank for Google every year and happy employees enjoying decent meals. And I haven’t even mentioned the free dinners at 6pm or later resulting in an extra hour of productivity!!

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One thing lifestreaming applications inherently suck at is expressing context over time. The focus and the message of the medium is restrained by “what is happening right now”.

There is very little aggregation and relationship development/analysis occurring between disparate lifestreaming applications. Dipity.com takes a first stab at it by aggregating your twitter, flickr, yelp, and others into a personalized timeline.

Still, there is no expression of “threads” (a vacation, a job) and “fabrics” (career, family) in my lifestream, and there is no weighting of importance based on size of the aggregated collective which shared in my single event, or based on how my antecedent lifestreams were dependent on precedent events, which will be increasingly relevant when lifestream analytics are used for marketing and news purposes.

Someday soon, though, the biography will be irrelevant…