Embrace AI or die - Michael Jordaan

Hardly relevant as a true indicator of value. Tech stocks have all been slaughtered in the bear market compared to other asset classes. Risk assets will always be hit hardest if a recession is looming.

What tech stocks?
This was running on the SA market.

Over the past 12 months the ALSI is 4% up, his fund is 17% down
 
What tech stocks?
This was running on the SA market.

Over the past 12 months the ALSI is 4% up, his fund is 17% down
If it's news to you that some of the worst (if not the #1 worst) performing assets internationally in a recessionary environment are speculative tech stocks, then well done you have just learned something.
 
He is not wrong.
Agree with the outcome, not the timeline.

It takes 10% of the effort to fix 90% of the show stopping bugs, the last 10% takes 90% of the time.

Just look at self driving cars as examples, they were supposed to be commonplace 5 years ago.

It will take 5-10 years before industries see significant impacts to their viability.

I do see however it working in some selected niches within the next year or two, but companies are incredibly slow in updating existing processes.
 
If it's news to you that some of the worst (if not the #1 worst) performing assets internationally in a recessionary environment are speculative tech stocks, then well done you have just learned something.
So if I understand you right...his fund is allowed to be down 17% with his "secret AI tech" because Google is down, even though he didnt invest in Google or Amazon or even in that market..and in general the rest of the market he did invest in is up 4% on average...

Im really struggling with your logic here.
 
If it's news to you that some of the worst (if not the #1 worst) performing assets internationally in a recessionary environment are speculative tech stocks, then well done you have just learned something.
To be fair, if we look at the fund fact sheet linked in his initial post, the fund does not allocate much to oversea equities, their SATRIX nasdaq 100 + s&p 500 etf adds up to only around 11.2% (just keeping it simple and ignore the fact that the tech sector only weights in a % of those indices), and then if we assume their other 5.62% allocated for foreign mutual funds were also invested in the US tech sector, the most they have invested there is around 17%. If we then look at the fund performances for 3, 5 years and since inception and compare it to the bench mark and ALSI, we can see that it's not the tech stocks that dragged its performance down, the fund was simply performing poorly even before the rate hikes last year.
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I wonder if given enough simulations and machine learning time, if the different AI for a certain risk tolerance level will arrive at a similar type of trading strategy, if they do, we will probably have a lot of wide swings in the future, and flash crashes might become a common place thing. Maybe spoofing will also come back in a new form to spoof the AIs by then too.
 
Agree with the outcome, not the timeline.

It takes 10% of the effort to fix 90% of the show stopping bugs, the last 10% takes 90% of the time.

Just look at self driving cars as examples, they were supposed to be commonplace 5 years ago.

It will take 5-10 years before industries see significant impacts to their viability.

I do see however it working in some selected niches within the next year or two, but companies are incredibly slow in updating existing processes.
Self-driving cars represent one of the most complex and challenging AI applications due to the extensive amount of data that must be processed in real-time and the need for high accuracy and safety. While significant progress has been made in this area, self-driving cars have faced setbacks and delays due to technical challenges, regulatory hurdles, and public concerns about safety and privacy.

Although your view is widely shared, I believe that AI will be adopted at an even faster pace in certain industries. For instance, in addition to medicine, media, and accounting, AI has the potential to transform fields such as transportation, logistics, and manufacturing. By automating routine tasks and providing insights from large datasets, AI can help optimize operations, reduce costs, and improve outcomes.

Change can be difficult for some people to accept, especially if they feel that it threatens their way of life or their job security. This can lead to a denial of the potential impact of AI, as people may be resistant to the idea of new technology replacing traditional ways of doing things.
 
I feel threatened
(By the threatening title. Was meant to be funny but apparently you need to explain that s#!t here on MyBB)
 
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Article worth reading

 
Article worth reading

Could you kindly summarize the conclusions?
 
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