If you have been watching CNBC last night, you may have been thought to believe of what a great deal an Apple Computer is.  You  may have also seen their comparison between a Apple and a PC which happens to be full of great flaws.

Apple is a PC right? Right.  So that does not make sense at all, how can an Apple that is a PC be versed against a PC?  Well… the people on CNBC still are illterate with computer lingo.  What they should of said was Apple Computer vs Windows PC comparison list.

So the biggest mistake ever Goldman for CNBC stated that Adobe Photoshop comes with Apple Computers he also stated that a Windows Computer requires $600 cost to be comparable to an Apple Computer.  This is downright awful and ridiculous to even be saying something like that.

An email I sent CNBC.

Goldman news cast on Photoshop is included with Apple Computers is false and misleading information.  Stating that a a Windows Computer requires 600$ worth of cost to be comparable to an Apple is downright ridiculous.  Furthermore, Photoshop alone costs 629$ please stop being a fanboy of Apple an actually publish real information if you can’t or have questions ask real technology enthusiasts and IT professionals to help you.   Another note to get straight with your computer lingo literacy is that Apple and Windows Computers are both PCs.

~Rich

Throughout the ages of computing we have relied binary numbers just plain old 0s and 1s to get us to compute. This has surely worked otherwise how would I be able to enjoy anything related to a computer. But maybe this is why we haven’t been able to go much faster in computing, of course yes we have all these new core and dual core technologies and multi-threaded applications.  These only work well on multi-cored centered programmed software.

So theoretically we need either compilers to build code automatically to gain these advantages or teach programmers how to use these different cores, processes and threads more effective.  One can argue about the new core technologies such as advanced AI (Artificial Intelligence) and automatic not the pre-programmed coded threaded apps but regular non pre-threaded apps which use specialty code which acts as if it was pre-coded specifically to take advantage of the hardware this way we spend much less money and time. After we do all this 0s and 1s maybe binary isn’t the solution, but instead the stopping point of faster computing.  I think light is the key to make more 0s and 1s faster.

Is there something smaller or more basic than 0s and 1s maybe something more fundamental like using smart chips auto changing chips, or a state that we don’t know of yet which is different than 1/0 or on/off?