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Template:M intro work Large Learning Model: Difference between revisions
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[[LLM]]s work the same way. Like all good conjuring tricks, [[generative AI]] relies on misdirection: its singular genius is that it lets us misdirect ''ourselves'', into wilfully suspending disbelief, never noticing who is doing the creative heavy lifting needed to turn machine-made screed into magic: ''we are''. We are neuro-linguistically programming ''ourselves'' to be wowed by LLMs. | [[LLM]]s work the same way. Like all good conjuring tricks, [[generative AI]] relies on misdirection: its singular genius is that it lets us misdirect ''ourselves'', into wilfully suspending disbelief, never noticing who is doing the creative heavy lifting needed to turn machine-made screed into magic: ''we are''. We are neuro-linguistically programming ''ourselves'' to be wowed by LLMs. | ||
Yet again, we | Yet again, we subordinate ourselves to suit the convenience of the machines. We really need to have some self-respect and kick this habit. | ||
By writing prompts, we create our own expectation of what we will see. When the pattern-matching machine produces something roughly like it, we use our own imaginations to frame, filter, boost, sharpen and polish the output into what we want to see. We render that output as commensurate we can with our original instructions. | By writing prompts, we create our own expectation of what we will see. When the pattern-matching machine produces something roughly like it, we then use our own imaginations to backfill, frame, filter, correct, boost, sharpen and polish the output into what we ''want'' to see. We render that output as commensurate we can with our original instructions. | ||
When we say, “fetch me a tennis racquet”, and the machine comes back with something more like a lacrosse stick, we are far more impressed than we would be had a human done the same thing. We would think the human a bit dim. But with [[generative AI]] we don’t, at first, even notice we are not getting what we asked for. We might think, “oh, that will do,” or perhaps, “ok, computer: try again, but make the basket bigger, the handle shorter, and tighten up the net.” We can iterate this way until we have what we want — or we could just use a conventional photo of a tennis racquet. | When we say, “fetch me a tennis racquet”, and the machine comes back with something more like a lacrosse stick, we are far more impressed than we would be had a human done the same thing. We would think the human a bit dim. But with [[generative AI]] we don’t, at first, even notice we are not getting what we asked for. We might think, “oh, that will do,” or perhaps, “ok, computer: try again, but make the basket bigger, the handle shorter, and tighten up the net.” We can iterate this way until we have what we want — or we could just use a conventional photo of a tennis racquet. | ||