On the whole, I’m very happy with the new features and interface improvements in Aperture 3. Many of the changes have been discussed elsewhere, however I wanted to mention a few points that I haven’t seen covered:
Face Detection
I’ve been putting off keywording people in my photos because I assumed that face detection was on the way. Now that it’s here, I’m not sure how much I’m going to use it.
In one of my projects, the faces were totally messed up. Aperture detected “faces” in solid-color areas near the corners of the photos, completely ignoring the prominent people in the middle of the frame. I manually added some faces, drawing rectangles and naming them, but Aperture forgot this as soon as I clicked on another photo in the browser. The only way I could get faces to work with this project was to delete the versions and re-import the masters. Luckily, these versions did not yet have any keywords or adjustments because they would have been discarded.
In my other projects, at least the dozen or so that I’ve gone through since upgrading, the face detection seems to be working properly, pretty much like in iPhoto.
Face Naming
There was some confusion when multiple people had the same first name, or the same first and last name with different middle initials. Also, the Address Book integration didn’t quite work the way I expected. Now that I see how it works, I think it’s adequate, but I would rather that Aperture not get cute and try to abbreviate to ambiguous first names.
The “Unnamed Faces” strip doesn’t seem to offer a way to zoom out or jump to the original photo. As a result, there are some faces that I can’t identify because I can’t see enough context. I don’t want to click Skip, because then how do I get back that list of untagged faces? But if I don’t click Skip, it seems the strip will be forever filled with those same unnameable faces.
Face Storage
Aperture uses a sensible storage model (which I first saw in Mail and copied for EagleFiler) where an “index” database is used for speed but the data and metadata are stored in flat files and XML. If the database is deleted or damaged (or not backed up), the data and metadata remain intact, and the database can be reconstructed from the other files.
Unfortunately, this does not seem to be true for faces. It looks as though Aperture stores the face information in the Faces.db SQLite database but that it does not save it in the XML files along with the other metadata. (It does export faces as keywords in the JPEG files, but that’s not particularly helpful when reconstructing a library.) This makes me wary of spending lots of time tagging faces and possibly losing that work if there’s ever a problem with my Faces.db.
I’m considering using the face detection to aid in assigning keywords. However, there doesn’t seem to be an easy way to generate and assign keywords from faces (other than exporting) or to assign faces from keywords (if I were reconstructing a library where the face information had been backed up in that way). It’s a shame because, although Aperture has good support for keywords, the faces feature is better suited for tagging people.
Core Data
Aperture 1 and 2 used Core Data, but Aperture 3 seems to have dropped it in favor of using SQLite directly. As a user, this doesn’t particularly matter to me, but as a developer making heavy use of Core Data I wonder about the reasons for the change. It’s curious that Mail, iTunes, iPhoto, and Aperture are highly visible “database” applications, none of which use Core Data. Does Apple think that Core Data is the wrong kind of technology for these applications? Or are there limitations/flaws that make the dog food unpalatable? My hunch is that for what Mail needs to do it’s more efficient to use SQLite directly. However, Aperture seems like exactly the kind of application that Core Data was intended for.
Backups
The folder structure inside the library package has been improved so that Time Machine backups should be much more efficient, especially if you rearrange your projects and folders. The thumbnails are now excluded from Time Machine backups, as is the BigBlobs.apdb. Other large database files are included, however: Faces.db, History.apdb, ImageProxies.apdb, Library.apdb, and Properties.apdb. My guess is that, except for Faces.db, these could all be reconstructed, so I’m excluding them from my CrashPlan backups.
Performance
Even after face detection completed (and I rebooted), Aperture 3 seems slower and more RAM-hungry than ever. I’m using a 2009 MacBook Pro, maxed out with 4 GB of RAM, and my library has about 34,000 versions. Aperture 2 was sluggish at times but bearable. Aperture 3 often locks up itself—and the rest of my Mac—for seconds or minutes. I’m going to see whether DiskWarrior helps.


I have a rule, formed by many years of experience, that I wait for 20 minutes, then I leave.
Here's what happened. When Google rolled out Buzz last week they activated an unknown number of users and chose people for them to follow automatically based on who they email most frequently with. Presumably these people had to also be on Gmail. And the list of people you follow is public. Therefore the list of people you email with most frequently is now public. They are now trying to close this hole as quickly as possible. But the damage is done, people have to realize that -- the information was already disclosed. You can close the door after the horse gets out but that doesn't get the horse back. 
Been a while.

There are a lot of mottos that when you actually think about them, teach you not only how to behave, but how to change. For example -- "Only steal from the best" might sound like an admonition to steal, and it is, but there's more to it. It says you should acknowledge those who inspire you. They're the best. It's important to reward people for letting you stand on their shoulders because it will encourage more people to give generously, believing the generosity will be reciprocated.
I liked Google Buzz at first, for about 15 minutes.
In October 2009, after 2.5 years of using Twitter every day, I wrote a 
