Bought NVDA at open

As the available drugs have grown the list of interactions has become too much for most humans to keep up with. Ergo the need for some automated system. Though sometimes it seems everything influences everything else once they are in the same body.

I was interested in your warning fatigue comment.

This is where we should be looking- AI based systems for something that is is broken , not working, too much for older processes. Or one that saves vast amounts of time… A solution for a problem not a solution looking for a problem.

A contrary example- I understand that new vision recognition apps can diagnose malignant melanoma within 85% of the accuracy of Dermatologist. But there are plenty of Dermatologists who can recognize them with 100% of the accuracy of Dermatologists. So the process is not really broken. Thus there not a lot of money to be made.

I do own some BEAT but not for any AI relationship.

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cross post from another board

list of machine vision companies

http://www.vision-systems.com/articles/2016/07/top-10-machin…

list of voice over IP companies
http://www.ranker.com/list/voice-over-ip-companies/reference…

list of companies actually using AI

https://fortunedotcom.files.wordpress.com/2017/02/rap_ai_web…

and some others
https://www.cbinsights.com/blog/artificial-intelligence-sale…
https://www.fastcompany.com/3069025/the-10-most-innovative-c…

that’s quite a list of mostly smaller companies .
does some young energetic guy want to start weeding them out?? No doubt some big winners are hidden in these lists.

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12 minute video for those of you wondering about the progress of AI:

https://www.youtube.com/watch?v=mQO2PcEW9BY

One industry that will be disrupted is healthcare. For example, the career plan does not look very good for people trying to become radiologists. There is a clear path for AI for detect diseases way better than humans do.

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Snap Qazulight - interesting timing, I did the same. I hugged my bears yesterday and took the plunge to clear out long held and going nowhere positions that I was probably both emotionally attached to and psychologically avoiding confronting a loss on.

I will dissect this all in the June portfolio review which will be very cathartic no doubt but suffice it to say one of those positions was Qualcomm. I ditched it and a few others and bought into Nvidia.

5 years go I would have seen these to decisions in a completely different light. Now I can see exactly what I am doing and why.

Cheers
Ant

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Thanks Quzulight and Ant for your responses to my question. It helped to get back in better focus.
Best,
Jay

Jay, I chose Qualcomm over Nvidia back in 2014 or so to invest in - that was a mistake.

But back then I did it because Qualcomm I thought were on top of the world and Qualcomm had become World #1 in chips - bigger than Intel. Snapdragon had annihilated everyone and the once competitive Tegra was just about dead.

I didn’t see Nvidia leapfrogging Qualcomm in 2 very high margin and very fast growth areas - graphics chips for gaming and visualisation devices and AI. AI has come on much faster than we thought.

On the other hand, Qualcomm shot themselves in the foot with with an overheating Snapdragon 810 and managed to get too aggressive with licensees in China and customers like Apple.

The rest is history.
Ant

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Ant,

Thanks for the example of Qaulcomm vs Nvidia. I guess I got caught up in the IBM hype.

I have been a finish carpenter and contractor most of my life and sometimes, if there is not any sawdust

involved, I have trouble. I guess I will stick with “measure twice, cut once” instead of "I cut it twice

and it’s still too short".

Cheers,

Jay

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Not at all. It is very easy to get seduced by the aura of IBM. It’s a cool brand and a tech company from the beginning of time. Even Warren Buffet fell for its charm for a long while.
Ant

When we have new technology, we tend to try and see what can be done with it. For investors, this is the wrong way to go. Look for people that are growing businesses at rapid rates with low debt and high cash with recurring revenues and barrier to entries.

Start with the financials. Then the business, then the tech, not the other way around.

Thank you for this, Qazulight; I think you are spot on!

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When we have new technology, we tend to try and see what can be done with it. For investors, this is the wrong way to go. Look for people that are growing businesses at rapid rates with low debt and high cash with recurring revenues and barrier to entries.

Start with the financials. Then the business, then the tech, not the other way around.

Thank you for this, Qazulight; I think you are spot on!

I was thinking of Walmart. That is about the most non-tech stock you can buy. Yet it went from .40 cents a share to 40 dollars a share in less than 20 years. I do not believe they could have done that without the WIN/TEL alliance.

At the same time if one had concentrated on the tech, he might have invested in Gateway computer, or DEC, or the many software wanna be’s or many of the cool data storage companies.

Your welcome
Qazulight

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12 minute video for those of you wondering about the progress of AI:

Thanks for posting that video, MacInTheBox. People tend to not like change, and technology is making change happen faster and faster each generation. No wonder Elon Musk is doing what he can to make sure AI stays open source and is not held by a wealthy few. Makes me think Google and Nvidia are good bets.

company name trivia: “In Latin, invidia is the sense of envy, an intense gaze associated with malice and the “evil eye”. Invidia is also the Roman name for the ancient Greek “Titan” deity, Nemesis. Who’s the personification of hatred and jealousy in Roman mythology.”

http://wccftech.com/nvidias-name-origins-history-roman-mytho…