Although the mentioned release is for the PC, I'd say this has a major impact on another realm: mobile devices. I'd even go so far to speculate that this is one of the main reasons for implementing H.264 (the blog just says "our customers want it").

In most mobile standards (e.g. 3GPP, DVB), and also for IPTV, H.264 is the required video codec. So unless an environment can support it, one way or the other, it is not relevant for implementing services with it. This was a drawback of Flash in the past, I reckon it's now back in the race. With H.264 and AAC capabilities, it is possible to implement mobile (video/TV) clients. And: as Flash is supported on many different devices, you can use it to offer a service that is available on PCs, mobile devices (phone, PDA), set top boxes, ... (a.k.a. converged services)

Took Adobe a while to realize that without H.264 the road will be rocky, no matter how good their supported video codec is, just because it's not in the standards.

There is a need to go to such a low level, unlesss you want to start it off with more data than is available in a strand of DNA.

DNA speaks in the language of proteins. You can't tell what sort of cell a piece of DNA is going to produce or how the cells it produces will be arranged without running the simulation all the way down to the protein level. We have no other cookbook for how to arrange these simulated cells once they exist except a long list that says "produce this protein, then this one, then one of these, then another one, then this...", and we've not any clue how those proteins get turned into a person. We can understand the process at the chemical level, and no higher. The finished product, of course, isn't like that at all. We understand humans on the levels of cells and organs, but DNA isn't so conveniently arranged.

Simulating cells is not sufficient. If it were, we could pour a couple gallons of blood into a bathtub and say "Behold, it is human." The organization of the cells matters just as much as the cells themselves. Simulating a human being to the level of even cellular precision would require that we be able to *scan* a human being at the cellular level to see how he's put together. If we actually knew the weightings of all the neuronal connections in a person's brain, then connectionist AI approaches might be able to produce real intelligence. To quote Levels of Organization in General Intelligence , "The classical hype of early neural networks, that they used 'the same parallel architecture as the human brain', should, at most, have been a claim of using the same parallel architecture as an earthworm's brain." You can't expect high-level organization from low-level simulations unless you want to simulate all the way down to DNA, where the information behind the complexity is really stored.

Or you build the complexity yourself, without relying on the hideously-designed mess that is Homo sapiens. But that's a different kettle of fish.