Joke regarding the nature of at least catholicism that is premised here in the meme. The concept that, St Thomas Aquinas, who is arguably one of the more acclaimed theologians in the catholic church post Council of Nicea.

He frequently establishes premises that sex in and of itself is not sinful, however any take on sex that is for the purposes of pleasure/gratification is sinful and should be shunned. Thereby one could state that being fully human and also divine, Christ was not immune to but would not have pursued the concepts of pleasure or deriving pleasure through sex.

So the posit Im making is a joke within the joke. Basically, the position is one wherein this guy didnt read that guy which refuted the point. Hardy-har-har.

It should be noted, more modern versions of catholicism dont really follow these principles any longer on the premise that sex between a man and wife is good because it can result in conception and they experience their love which gets them closer to god’s love (not my personal view, more parroting some of the more modern beliefs). Additional note, StTA also kinda eludes to this but in a round about way.

Your statement made me chuckle because I agree about the social fantasies the current models have allowed folks to live.

I think where I simply dissent is, do I believe corporations are evil and greedy enough to try something like this? Yes, I do. Hell Apple is the epitome of this with all the hoops you have to jump through and any non-basic-tech-literate person would not pursue/approach. However, that is the problem, users wont want to not have their favorite app that their friend also has simply because of their device/provider/overlord.

Because we are simply debating on an internet forum, Im gonna take my personal belief and assert it here (/s). Looking at the fact that Microsoft backed off the console war, my greater concern is not a ‘gotcha’ that companies like Google and such will apply, its the concept that we are quickly running into fewer and fewer alternatives so its going to be a ‘lesser of evils’ choice.

Apple showed the way, other companies have been struggling to figure out how they are going to match that. The one foil to this thought/approach is that like the op of this thread stated, an as I infer, users will gravitate away from being locked in.

Or hopefully we both wind up with wrong conjectures and find that the market goes in a different direction, but I admit myself that is kind of wishful thinking.

Someone hasnt read St Thomas Aquinas…

Call me when they start bringing in legitimacy between understanding how the brain actually functions and relate it to how computation systems actually work.

The current models STRUGGLE with basic speech comprehension that humans are able to nail with significantly higher precision (Just look at LLMs that struggle with dialects between large regions like the US). Use a slang word in a modern search, or use a common definition vs the literal, AI stumbles and fails frequently. Having worked on models as someone whose job was in AI, the algorithms STRUGGLE even understanding basic concepts such as ‘Yes’ and ‘Yeah’ being interchangeable without dedicated training. There is a reason that it used to be countless humans sitting in a room teaching a machine how to do something with basic boolean values.

Current Automated Intelligence (I refuse to call it Narrow AI as it diminishes the term AI) will simply be the way of things for a long time until these companies can build trust in them and are able to actually roll out reliable items that: 1) Dont make up data. 2) Can verify data on its own. 3) Can actually understand and infer things based on when people type/say something.

True AI or what they are calling AGI nowadays is a pipe dream similar to what 3D/Augmented Reality/Holographic concepts are. There will be spikes of innovation followed by periods of stagnation. The only difference is that right now current AI models are useful in the corporate world which will lead to shorter periods of stagnation comparably.

Insurance is defined at its core as a transfer of risk. Its that simple. If insurance denies everything I send their way while I am paying them, its no longer a transfer of risk, I am simply paying someone to tell me ‘no’.

That out of the way, the whole health insurance industry does not follow the concept of transfer of risk. The insurance companies rather follow the concept of transfer of action. Basically I am not going to spend all day negotiating with a hospital. That said, them denying is because they do not want to do the work still, so in other words, I am still paying someone to tell me ‘no’.

In both concepts, the insurance companies are not doing what they ascribed to. Along with the laws that congress stripped away affordable care to its basics that we all are required to have it - read an extra tax but to corporations who give kick backs to their congressional lackeys - and the fact that insurance companies basically are price fixing all the rates and such, it becomes a lose (you)/lose (you)/lose (hospitals)/only ones who win are the companies.

Late stage capitalism hard at work.

Having worked with AI and AI products in my last job before I was let go I can say this:

Out of the box AI is very good at the following:

1. Mundane very simple binary/boolean tasks. Is this a yes/no. Can I find a piece of information that I was told is here based on your statement? Etc
2. Condensing very complex processes into very simplistic things - NOTE you will lose a lot of information based on this action unless you refine a statement.
3. Making overarching summaries - kinda similar to 2 but also its own thing, think more creating a summary of a book.

Programmed AI - read machine learning, because you are still telling it how to interpret things - can be good at (depending how good you are at telling it what it should do):

1. Interpreting meaning in a statement.
2. Understanding if - then constructs.
3. Deducing plausible outcomes.

ALL AI struggles at:

1. Interpreting real vs fake (thats why you literally teach it how to understand what a spot light is with your captcha)
2. Understanding complexity in speech and tonal differences - I am SO happy to be here /s
3. Thinking on its own - using collected data to make an inference that it was not directly programmed to understand

The big craze over AI totally was misunderstood. AI is best to be thought of as Automated Intelligence and the word Artificial at its current state is a complete misnomer.

This is just one example of people having been mislead by the name to not fully understand what is up with AI.