Row 92086

Row ID: 92086 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 92086 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

*And you are right now arguing to the point your earlier arguments falls apart. This SPECIFIC one:*

>**We KNOW how it works!!** You idiots want to look at the WRONG THING to understand how it works. 'What it's doing' and 'how it works' are two different goddamn things.

So, wise guy, you said right here that we KNOW how it works! Now tell me, HOW? Do you know the 'specifics' of how it works?

Answer: we DON'T.

Because we *DON'T KNOW WHAT IT IS DOING*! We can't describe the AI 'circuit' or the theories and all this other shit!!

And thus, here you are saying this:

>*People that say this entirely miss the point of machine learning. It exists to find patterns a human could not. Given the time, patience, and caffeine, you could do it on paper. You don't because you went to the trouble of getting a computer to do it.*

>*This whole 'we don't know how it works' is the fucking POINT of it. It's doing math.* ***Do you still want to know?***

The answer, if you're in higher learning, is YES.

The first people who came across piston fire starters just simply shrugged and said 'it is so, we don't need to know further'. Other people took that, learned the **thermodynamics** behind it and came up with the *EFFING Diesel Engine*!!

The first people who came across mixing several things together to make a "boom" just simply shrugged and said 'it is so, let's just make pretty fireworks in the skies'. Other people took that, learned the **chemistry** behind it and came up with the *EFFING Gunpowder*!!

The first people who came across deadly shit-stained standing water just simply shrugged and said "don't drink it unless it is diluted, it is poisoned by misama" and continued dumping waste into rivers. Other people took that, learned the **biology** behind it and came up with the *EFFING Germ Theory*!!

Throughout ***ALL of HISTORY of ALL THE SCIENCES***, so many bloody things we know of as solidly founded sciences are people coming across closed systems, and instead of shrugging and leaving it alone, continued to study it, learn the principles behind it, and come up with new or BETTER knowledge.

Just because machine-learning AI is man-made and we know the process of creating more of them doesn't mean shit. There's something in there *that we don't KNOW. And we should take that, learn how their* ***ALGORITHMS*** *behind it works, and come up with new and fantastic creations t*o *fill in the gaps in our computer sciences!!*

That you're arguing the opposite after revealing your academia position is utterly incomprehensible. You should throw that card away for even taking this position. You're not an academic, and your position is terrible. I believe there is nothing more that needs saying here.

*(On a digressing sidenote, tracing the path of* *~~individual~~* *electrons in a conducting wire is precisely how IC chip manufacturing and engineering works. From vacuum tubes to seeding of materials onto a silicon wafers, it is to create SPECIFIC conditions though SPECIFIC electrical/physical properties to make electrons move a SPECIFIC way on a circuit so as to be able to represent a SPECIFIC binary state, and through that do very SPECIFIC things on it.*

Edit: and currently, manufacturing SPECIFIC high capacity IC chips require a SPECIFIC wavelength of light focused to a SPECIFIC size by SPECIFICALLY designed series of focusing mirrors to a SPECIFIC precision of microns to etch SPECIFIC amounts of material onto a silicon wafer.

*But noooooooo, let us strawman some random guy on the internet by implying he is counting INDIVIDUAL atoms.)*

FieldValue
text *And you are right now arguing to the point your earlier arguments falls apart. This SPECIFIC one:* >**We KNOW how it works!!** You idiots want to look at the WRONG THING to understand how it works. 'What it's doing' and 'how it works' are two different goddamn things. So, wise guy, you said right here that we KNOW how it works! Now tell me, HOW? Do you know the 'specifics' of how it works? Answer: we DON'T. Because we *DON'T KNOW WHAT IT IS DOING*! We can't describe the AI 'circuit' or the …
label r/tech
dataType comment
communityName r/tech
datetime 2024-05-25
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Raw Record

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  "text": "*And you are right now arguing to the point your earlier arguments falls apart. This SPECIFIC one:*\n\n>**We KNOW how it works!!** You idiots want to look at the WRONG THING to understand how it works. 'What it's doing' and 'how it works' are two different goddamn things.\n\nSo, wise guy, you said right here that we KNOW how it works! Now tell me, HOW? Do you know the 'specifics' of how it works?\n\nAnswer: we DON'T.\n\nBecause we *DON'T KNOW WHAT IT IS DOING*! We can't describe the AI 'circuit' or the theories and all this other shit!!\n\nAnd thus, here you are saying this:\n\n>*People that say this entirely miss the point of machine learning. It exists to find patterns a human could not. Given the time, patience, and caffeine, you could do it on paper. You don't because you went to the trouble of getting a computer to do it.*\n\n>*This whole 'we don't know how it works' is the fucking POINT of it. It's doing math.* ***Do you still want to know?***\n\nThe answer, if you're in higher learning, is YES.\n\nThe first people who came across piston fire starters just simply shrugged and said 'it is so, we don't need to know further'. Other people took that, learned the **thermodynamics** behind it and came up with the *EFFING Diesel Engine*!!\n\nThe first people who came across mixing several things together to make a \"boom\" just simply shrugged and said 'it is so, let's just make pretty fireworks in the skies'. Other people took that, learned the **chemistry** behind it and came up with the *EFFING Gunpowder*!!\n\nThe first people who came across deadly shit-stained standing water just simply shrugged and said \"don't drink it unless it is diluted, it is poisoned by misama\" and continued dumping waste into rivers. Other people took that, learned the **biology** behind it and came up with the *EFFING Germ Theory*!!\n\nThroughout ***ALL of HISTORY of ALL THE SCIENCES***, so many bloody things we know of as solidly founded sciences are people coming across closed systems, and instead of shrugging and leaving it alone, continued to study it, learn the principles behind it, and come up with new or BETTER knowledge.\n\nJust because machine-learning AI is man-made and we know the process of creating more of them doesn't mean shit. There's something in there *that we don't KNOW. And we should take that, learn how their* ***ALGORITHMS*** *behind it works, and come up with new and fantastic creations t*o *fill in the gaps in our computer sciences!!*\n\nThat you're arguing the opposite after revealing your academia position is utterly incomprehensible. You should throw that card away for even taking this position. You're not an academic, and your position is terrible. I believe there is nothing more that needs saying here.\n\n*(On a digressing sidenote, tracing the path of* *~~individual~~* *electrons in a conducting wire is precisely how IC chip manufacturing and engineering works. From vacuum tubes to seeding of materials onto a silicon wafers, it is to create SPECIFIC conditions though SPECIFIC electrical/physical properties to make electrons move a SPECIFIC way on a circuit so as to be able to represent a SPECIFIC binary state, and through that do very SPECIFIC things on it.*\n\nEdit: and currently, manufacturing SPECIFIC high capacity IC chips require a SPECIFIC wavelength of light focused to a SPECIFIC size by SPECIFICALLY designed series of focusing mirrors to a SPECIFIC precision of microns to etch SPECIFIC amounts of material onto a silicon wafer.\n\n*But noooooooo, let us strawman some random guy on the internet by implying he is counting INDIVIDUAL atoms.)*",
  "label": "r/tech",
  "dataType": "comment",
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  "datetime": "2024-05-25",
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}
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