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Who still thinks that AI (in the current colloquial sense) is NOT a Shell Game?


               
2023 Feb 23, 4:26pm   4,266 views  47 comments

by Tenpoundbass   follow (10)  

https://www.breitbart.com/tech/2023/02/23/trail-of-funding-for-ai-machine-learning-fairness-leads-to-leftist-billionaires-omidyar-hoffman-soros/

This week we examined the field of Machine Learning Fairness, which seeks to imprint AI programs with leftist assumptions and priorities. Following the money behind the leading organizations of ML Fairness leads to some familiar funding sources, including leftist billionaires Pierre Omidyar, George Soros, and Reid Hoffman.

One of the most well-funded efforts to control AI is the Ethics and Governance of AI Initiative, a joint project of the MIT Media Lab and Harvard University’s Berkman Klein Center for Media & Society.

By 2017, the initiative had raised $26 million from various sources that played a prominent role in pushing the “disinformation” panic, including Pierre Omidyar’s Luminate, the Knight Foundation, and the notoriously leftist tech bro Reid Hoffman, whose sinister election-influencing activities have been well documented.

Both the MIT Media Lab and the Berkman Klein Center were heavily involved in the disinformation panic, and have been involved in controversies. Joi Ito, the president of the MIT lab, had to resign in 2019 after it was revealed that the organization accepted donations from Jeffrey Epstein.


The plan here is to brainwash idiots into letting AI usurp our courts and legislators, and AI can dish out adhoc laws and set Truth Speak to fit the narrative in real time.

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41   Maga_Chaos_Monkey   2023 Mar 12, 1:00pm  

PeopleUnited says

Building anti cancer targeted therapies?

I'm not going to say other than it's new and disruptive.
42   Maga_Chaos_Monkey   2023 Mar 12, 1:00pm  

Tenpoundbass says

Just passing through, come on now, pinky swear you'll come back and man up and admit that we called it, when this fizzles and peters out.


Sure when that happens just toss this at me and I'll grant that; but it won't happen.
43   Maga_Chaos_Monkey   2023 Mar 12, 1:03pm  

For kicks someone I work with tried to get another AI platform to write bioinformatics code for us. The performance was so bad we figure our jobs are safe for a while. The joke is that bioinformaticians made our file formats so poorly that even advanced AI can't figure them out.
44   Maga_Chaos_Monkey   2023 Mar 12, 1:14pm  

Tenpoundbass says

I also suspect you're throwing new technologies into the lot of generalized AI discussions.


Nope as I mentioned before we have had this disruptive tech for several years now without AI. We're getting a hellava performance boost using it now though that we otherwise wouldn't have.

The AI I'm speaking about is the standard: Build a model with training data then give it new inputs to collect output predictions. We just get numbers back, not pictures of shoes or a bratty chat bot. There are a lot of these being implemented in companies now that nobody discusses because just getting numbers back isn't sexy.
45   Tenpoundbass   2023 Mar 12, 2:23pm  

just_passing_through says

There are a lot of these being implemented in companies now that nobody discusses because just getting numbers back isn't sexy.


The funny thing about numbers. When the business principal wants a report. They already know the numbers they are looking for. And they will not accept the data, until you have given a list with the numbers they are thinking. There has been times the person was wrong, and the numbers I produced based on the filter required, was the right number. People like that will blindly accept a list of pure bogus values, as long as the count aligns with what they are expecting. I could appease those people by doing a top 21 query.

So how do you know those numbers aren't what you want, vs what you need?
46   Maga_Chaos_Monkey   2023 Mar 12, 2:25pm  

Tenpoundbass says

So how do you know those numbers aren't what you want, vs what you need?


I'm trying to stay anon so that's about all I'm going to say on the subject.
47   Tenpoundbass   2023 Mar 12, 3:13pm  

Self programming programs has been a goal for as long as I have been in software development. The only thing different between then and now, are better algorithms and processors.
There's a niche in software where the program or app is every bit of an Art as it is Science. By that I mean, takes a special talent to conceptualize, and create those programs.
While you certainly can boilerplate the mundane code through hundreds of different process, once you have established the programing pattern for those operations.
I can't see AI creating new programming patterns and concepts, with valid use cases, and working principles. It will only draw on what is available to it in that regard. As the Program flow for the AI engine would already determine it's design patterns and principles. Programmers will always be needed to update the code base to accommodate new standards and practices.

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