| Readings: Zetas, Tevez, Fannie, Oil, etc. Posted: 13 Oct 2011 10:02 AM PDT |
| How Apple DDOS’d the Interweb Yesterday Posted: 13 Oct 2011 09:36 AM PDT Fun — the consequences of Apple upgrading iPhones and OSX in one day was that the entire Interweb nearly went down. It appears that whilst Apple stuggled to cope with demand, ISPs were facing issues trying to keep traffic flowing through their networks, as Apple device owners attempted to download at least 600 megabyte updates. One ISP, AAISP, was "caught unawares" and yesterday evening saw "silly high usage since around 18:40 [BST]" leading them to think that "something [was] clearly 'up' and there [was] some 'internet event' happening". As Cult of Mac notes, that "internet event" was the release of iOS 5, Mac OS X 10.7.2 and a number of new applications. Throughout the evening, AAISP engineers posted on the company's Incident and Status Page, noting just what was happening to its network as subscribers fired up their iTunes clients and updated their iOS devices: At 8.53pm, they wrote: This is worse than the world cup traffic!
via Demand for iOS 5 & iCloud was so high, Apple almost broke the Internet. 
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| The Other Protest: End Market Correlation! Posted: 13 Oct 2011 08:19 AM PDT Cute /via Whitney Tilson: 
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| The Complexity Break Posted: 13 Oct 2011 08:01 AM PDT Normally I disagree with Paul Allen pretty much on principle, but I think he has the complexity break pretty much correct: The foregoing points at a basic issue with how quickly a scientifically adequate account of human intelligence can be developed. We call this issue the complexity brake. As we go deeper and deeper in our understanding of natural systems, we typically find that we require more and more specialized knowledge to characterize them, and we are forced to continuously expand our scientific theories in more and more complex ways. Understanding the detailed mechanisms of human cognition is a task that is subject to this complexity brake. Just think about what is required to thoroughly understand the human brain at a micro level. The complexity of the brain is simply awesome. Every structure has been precisely shaped by millions of years of evolution to do a particular thing, whatever it might be. It is not like a computer, with billions of identical transistors in regular memory arrays that are controlled by a CPU with a few different elements. In the brain every individual structure and neural circuit has been individually refined by evolution and environmental factors. The closer we look at the brain, the greater the degree of neural variation we find. Understanding the neural structure of the human brain is getting harder as we learn more. Put another way, the more we learn, the more we realize there is to know, and the more we have to go back and revise our earlier understandings.
via Paul Allen: The Singularity Isnt Near – Technology Review. 
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