The world’s first trillionaire will be an AI entrepreneur

[MrDexter]

2 hours ago, VizagRocks said:

since 'everybody' knows that it is going to be the next big thing, it won't be. I think we'll hit a plateau in AI in a couple of years, and pick things up after some 30-40yrs.

 

 

Yeah i think that might be a possibility for sure....... Its not really easy to acheive a completely self aware Artificially intelligent system. Still a Science Fiction 

[MrDexter]

3 hours ago, summer27 said:

antha baane cheppav kaani..completely unsupervised chesthe inka manam tadiguddee..its just unimaginably dangerous..

evariki tadigudda ani alochinchey rojulu eppudo poyinayi....

UBER tho taxi's ki problem....

netflix tho Blockbuster out....

Amazon tho retail chains ki problem....

ala.....every new technology will cause some kind of disruptions right...

[MrDexter]

5 hours ago, Batman_fan said:

 

 

Thanks

[VizagRocks]

14 minutes ago, MrDexter said:

Challenges of Quantum computing are limitless. For example proving p=np is a major challenge.

But before we switch from silicon computing to quantum computing there will be a phase within 10 years where we compute using biological cellular organelle.

Silicon Computing is Binary -> 1s and 0s

Quantum computing is assigning values to all possible states of atom between 1 and 0 (zero)

Biological cellualr omputing is using Cellular organlle to assign values to the organlle based on the biological circuit emebdded in the processors....This way a laptop sized biological computer would be able to calculate computations of a huge computer of size equal to a city block.

At this point quantum computing is just like machine learning (in spirit). There's no design for a general purpose computer that everyone can program. But there are a few quantum computing models that work for specific functions. And have been shown as not very useful for RoI.

Quantum computing is stuck for lack of mathematical foundations to support such computing at a large scale (higher number of qbits). Quantum computing is still a digital computer, and will only add one fuzzy state besides the 1 and 0. It does theoretically improve potential computing by a huge degree.

The challenges are error correction - which is surmountable in a few years. But that computer will still not be as useful as many predict it would be. They really need to rework the entire field of computational complexity for a quantum computer to do everything it claims it can.

[VizagRocks]

9 minutes ago, MrDexter said:

evariki tadigudda ani alochinchey rojulu eppudo poyinayi....

UBER tho taxi's ki problem....

netflix tho Blockbuster out....

Amazon tho retail chains ki problem....

ala.....every new technology will cause some kind of disruptions right...

lets see world will not always be like this. may be people who are affected will fight back. Like how people elected Donald Trump, when Obama was perfectly science and corporate friendly.

[VizagRocks]

13 minutes ago, MrDexter said:

Yeah i think that might be a possibility for sure....... Its not really easy to acheive a completely self aware Artificially intelligent system. Still a Science Fiction 

It is possible, if the hype on AI dies, and people find new ways to explore this idea. right now the groupthink is just spitting out clones that at best marginally improve the entire field.

[VizagRocks]

18 minutes ago, MrDexter said:

Challenges of Quantum computing are limitless. For example proving p=np is a major challenge.

But before we switch from silicon computing to quantum computing there will be a phase within 10 years where we compute using biological cellular organelle.

Silicon Computing is Binary -> 1s and 0s

Quantum computing is assigning values to all possible states of atom between 1 and 0 (zero)

Biological cellualr omputing is using Cellular organlle to assign values to the organlle based on the biological circuit emebdded in the processors....This way a laptop sized biological computer would be able to calculate computations of a huge computer of size equal to a city block.

basically nobody knows what to do with a quantum computer, that they can't already do with traditional ones.

[MrDexter]

2 minutes ago, VizagRocks said:

At this point quantum computing is just like machine learning (in spirit). There's no design for a general purpose computer that everyone can program. But there are a few quantum computing models that work for specific functions. And have been shown as not very useful for RoI.

Quantum computing is stuck for lack of mathematical foundations to support such computing at a large scale (higher number of qbits). Quantum computing is still a digital computer, and will only add one fuzzy state besides the 1 and 0. It does theoretically improve potential computing by a huge degree.

The challenges are error correction - which is surmountable in a few years. But that computer will still not be as useful as many predict it would be. They really need to rework the entire field of computational complexity for a quantum computer to do everything it claims it can.

 

For the exact same reason the research is now underway to utilize natural mechanisms like biological cellular organelle to do these kind of computations (1-10% of what quantum computers can do). These biological computers are going to be better at ROI and even fare btter than silicon computers which are now hitting the ceiling with 14Um CPU processors (not sure about the number but its the size of circuit line) They are not able to do better than that with silicon chips. 

[MrDexter]

2 minutes ago, VizagRocks said:

basically nobody knows what to do with a quantum computer, that they can't already do with traditional ones.

Right now they dont know......

But in the future when space exploration is a common place and terraforming planets is underway and humans are shipped across the solar system we need advanced computers to do things like Navigation, Sling shot around asteroids.....travel in space ships kind of futristic stuff.... thats when you need these advanced computers...

[MrDexter]

7 minutes ago, VizagRocks said:

It is possible, if the hype on AI dies, and people find new ways to explore this idea. right now the groupthink is just spitting out clones that at best marginally improve the entire field.

 

AI is really long term goal.....like is said its not that easy..... we might have few surprises but not completely self aware AI.....

[VizagRocks]

1 minute ago, MrDexter said:

For the exact same reason the research is now underway to utilize natural mechanisms like biological cellular organelle to do these kind of computations (1-10% of what quantum computers can do). These biological computers are going to be better at ROI and even fare btter than silicon computers which are now hitting the ceiling with 14Um CPU processors (not sure about the number but its the size of circuit line) They are not able to do better than that with silicon chips. 

See. the ceiling for silicon is not yet breached. it's 5nm (the distance between gate and drain in a transistor). The current tech is at 14nm, with Intel. But overwhelming majority of chips are still manufactured with older 32nms, two generations behind.

opting for cellular computing for this seems a bit odd, because cells are way bigger than this. But I know that the idea has some merit, just not for the reason you claim. I have no idea what the reason is.

 

[VizagRocks]

10 minutes ago, MrDexter said:

For the exact same reason the research is now underway to utilize natural mechanisms like biological cellular organelle to do these kind of computations (1-10% of what quantum computers can do). These biological computers are going to be better at ROI and even fare btter than silicon computers which are now hitting the ceiling with 14Um CPU processors (not sure about the number but its the size of circuit line) They are not able to do better than that with silicon chips. 

I do have a photomasking business. but the process I cater to is 120nm. 

[MrDexter]

8 minutes ago, VizagRocks said:

See. the ceiling for silicon is not yet breached. it's 5nm (the distance between gate and drain in a transistor). The current tech is at 14nm, with Intel. But overwhelming majority of chips are still manufactured with older 32nms, two generations behind.

opting for cellular computing for this seems a bit odd, because cells are way bigger than this. But I know that the idea has some merit, just not for the reason you claim. I have no idea what the reason is.

 

 

4

 

This is for you. Its an interesting read. You will see these Cellular computers in mass production before QC because of ROI advantages....

http://www.pnas.org/content/113/10/2591.full

P.S: This is National Academy of sciences USA publication.

[VizagRocks]

12 minutes ago, MrDexter said:

Right now they dont know......

But in the future when space exploration is a common place and terraforming planets is underway and humans are shipped across the solar system we need advanced computers to do things like Navigation, Sling shot around asteroids.....travel in space ships kind of futristic stuff.... thats when you need these advanced computers...

yes. All these can be done with traditional computers. and are being done.

[ParmQ]

6 hours ago, Batman_fan said:

So, buckle up and learn AI if you want to be a trillionaire. 

Hourly billing entha?