Should I make a thread on AI

Jason Voorhees

Jason Voorhees

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I've been thinking about making a thread on this but the challenge is that any meaningful discussion about Al quickly gets very technical. Al isn't some brand new concept it's been around for decades in various forms. McCulloch Pitt neuron, Perceptions, Supervised, Reinforcement learning algorithms, back propogation, Graph traversals and Dynamic programming

If these basic machine learning and Data structure concepts fly over your head there's no point in talking about more advanced concepts because they are even more complex and build on all of this. All these things have existed forever. What's changed is the scale accessibility, and the hype around it thanks to recent breakthroughs in machine learning and computing power.
 
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Nah I’m good
 
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I've been thinking about making a thread on this but the challenge is that any meaningful discussion about Al quickly gets very technical. Al isn't some brand new concept it's been around for decades in various forms. McCulloch Pitt neuron, Perceptions, Supervised, Reinforcement learning algorithms, back propogation, Graph traversals and Dynamic programming

If these basic machine learning and Data structure concepts fly over your head there's no point in talking about more advanced concepts because they are even more complex and build on all of this. All these things have existed forever. What's changed is the scale accessibility, and the hype around it thanks to recent breakthroughs in machine learning and computing power.
In what regard though?
 
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i like ai. whenever someone pisses me off. it agrees with me.
 
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In what regard though?
In the regard that AI as a concept isn’t new perceptrons, neural networks, reinforcement learning, all that stuff has been around for decades What changed recently is scale, accessibility, and computing power. Now we can train massive models on huge datasets, which wasn’t possible before. That’s why AI feels new to most people, even though the fundamentals haven’t changed. AI also isn't bullet proof so people thinking it will make everyone jobless in a few years is also not true unless there's so major breakthrough.
 
i like ai. whenever someone pisses me off. it agrees with me.
This in technical CS terms is called Stochastic parroting. One of the major roadblocks in AI advancements currently
 
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In the regard that AI as a concept isn’t new perceptrons, neural networks, reinforcement learning, all that stuff has been around for decades What changed recently is scale, accessibility, and computing power. Now we can train massive models on huge datasets, which wasn’t possible before. That’s why AI feels new to most people, even though the fundamentals haven’t changed. AI also isn't bullet proof so people thinking it will make everyone jobless in a few years is also not true unless there's so major breakthrough.
I mean sounds kinda water and I doubt rotters here would read it

Would be better than typical slop that I upload like "asdvek is indian confirmed" :lul:
 
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This in technical CS terms is called Stochastic parroting. One of the major roadblocks in AI advancements currently
don't know what that means but it sounds smart. i agree
 
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don't know what that means but it sounds smart. i agree
Fancy way of saying AI doesn't understand anything it says and just acts like a very advanced probability and statistics machine. Guessing the next word.
 
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I mean sounds kinda water and I doubt rotters here would read it

Would be better than typical slop that I upload like "asdvek is indian confirmed" :lul:
Yeah it is water but some people spew random BS without even understanding what AI essentially is.
 
@inversions @Duke Archer @emeraldglass
 
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could make it about does ai really need to understand or be modeled to mirror human intelligence (we have 0 idea how our own consciousness works)

Don’t recall a single model release in the past few months that was successful on launch even Gemini 2.5 pro had massive doubts but just the pure context length and cost gave it the crown

Features > base model strength tbh :feelshah: insane to me that perplexity still has the best search feature by a mile over if you ain’t using it for general questions and research
 
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could make it about does ai really need to understand or be modeled to mirror human intelligence (we have 0 idea how our own consciousness works)

Don’t recall a single model release in the past few months that was successful on launch even Gemini 2.5 pro had massive doubts but just the pure context length and cost gave it the crown

Features > base model strength tbh :feelshah: insane to me that perplexity still has the best search feature by a mile over if you ain’t using it for general questions and research
Agreed. For many tasks context window matters way mor
 
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could make it about does ai really need to understand or be modeled to mirror human intelligence (we have 0 idea how our own consciousness works)

Don’t recall a single model release in the past few months that was successful on launch even Gemini 2.5 pro had massive doubts but just the pure context length and cost gave it the crown

Features > base model strength tbh :feelshah: insane to me that perplexity still has the best search feature by a mile over if you ain’t using it for general questions and research
Tbh i remember reading about M-P neurons and back propogation in uni and taught this was the shit and that I could do ML now and what not but I realised soon that I knew nothing
 
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