[weaponofchoice]

I'd really appreciate it if you could suggest why we couldn't implement similar algorithms as the brain, that possibly require a massive number of fetches & executions simultaneously (guessing this is where memory bandwidth plays in), but have the results show up much slower.

Shouldn't it be possible to have artificial AI mimicking human brain algorithms at 1/100th the speed, where perhaps a single thought based on learned information takes hours, instead of seconds?

[modeless]

You misunderstand. I'm saying we could, but the slowdown wouldn't be 1/100. It would be more like 1/1 billion. At that speed, it would take years to simulate a second of brain time. Not only would that be useless, it would be impossible to know if you'd actually implemented it right without being able to test it in a reasonable timeframe. That's why we'll only be able to develop brain-like AI once our computers are much faster.

[weaponofchoice]

Appreciate the reply. Seems I did misunderstand.

I find it hard to agree, that despite the nanosecond latency times and the terabytes of throughput we can wring out of single computing devices(gpu's etc), we couldn't simulate brain-like AI faster than a billionth of what it should be.

You're probably right though.