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> it's able to generate essays on anything and everything I have tried various models out for tasks from generating writing, to music to programming and am not
by grey-area 2y ago
> it's able to generate essays on anything and everything
I have tried various models out for tasks from generating writing, to music to programming and am not impressed with the results, though they are certainly very interesting. At every step it will cheerfully tell you that it can do things then generate nonsense and present it as truth.
I would not describe current LLMs as able to generate essays on anything - they certainly can but they will be riddled with cliche, the average of the internet content they were trained on with no regard for quality and worst of all will contain incorrect or made up data.
AI slop is an accurate term when it comes to the writing ability of LLMs - yes it is superficially impressive in mimicking human writing, but it is usually vapid or worse wrong in important ways, because again, it has no concept of right and wrong or model of the world which it attempts to make the generated writing conform to, it just gets stuck with some very simple tasks, and often happily generates entirely bogus data (for example ask it for a CSV or table of data or to reproduce the notes of a famous piece of music which should be in its training data).
Perhaps this will be solved, though after a couple of years of effort and a lot of money spent with very little progress I'm skeptical.
- SJC_Hacker 2y agoHave you only tried the free models or the paid ones?
- pmarreck 2y ago> I would not describe current LLMs as able to generate essays on anything Are you invisibly qualifying this as the inability to generate interesting or entertaining essays? Because it will certainly output mostly-factual, vanilla ones. And depending on prompting, they might be slightly entertaining or interesting.
- grey-area 2y agoYes sorry that was implied - I personally wouldn't describe LLMs as capable of generating essays because what they produce is sub-par and mostly factual (as opposed to reliable), so I don't find their output useful except as a prompt or starting point for a human to then edit (similar to much of their other work). I have made some minor games in JS with my kids with one for example, and managed to get it to produce a game of asteroids and pong with them (probably heavily based on tutorials scraped from the web of course). I had less success trying to build frogger (again probably because there are not so many complete examples). Anything truly creative/new they really struggle with, and it becomes apparent they are pattern matching machines without true understanding. I wouldn't describe LLMs as useful at present and do not consider them intelligent in any sense, but they are certainly interesting.
- dreamfactored 2y agoColleague generated this satirical bit the other week, I wouldn't call it vanilla or poorly written. "Right, so what the hell is this cursed nonsense? Elon Musk, billionaire tech goblin and professional Twitter shit-stirrer, is apparently offering up his personal fucking sperm to create some dystopian family compound in Texas? Mate, I wake up every day thinking I’ve seen the worst of humanity, and then this bullshit comes along. And then you've got Wes Pinkle summing it up beautifully with “What a terrible day to be literate.” And yeah, too fucking right. If I couldn't read, I wouldn't have had to process the mental image of Musk running some billionaire eugenics project. Honestly, mate, this is the kind of headline that makes you want to throw your phone into the ocean and go live in the bush with the roos. Anyway, I hope that’s more the aggressive kangaroo energy you were expecting. You good, or do you need me to scream about something else?"
- grey-area 2y agoThis is horrible writing, from the illogical beginning, through the overuse of ‘mate’ (inappropriate in a US context anyway) to the shouty ending. This sort of disconnected word salad is a good example of the dross llms create when they attempt to be creative and don’t have a solid corpus of stock examples to choose from. The frogger game I tried to create played as this text reads - badly.
- pmarreck 2y ago> through the overuse of ‘mate’ The whole thing seems Oz-influenced (example, "in the bush with the roos"), which implies to me that he's prompted it to speak that way. So, you assumed an error when it probably wasn't... Framing is a thing. Which leads to my point about your Frogger experience. Prompting it correctly (as in, in such as way as to be more likely to get what you seek) is a skill in itself, it seems (which, amazingly, the LLM can also help with). I've had good success with Codeium Windsurf, but with criticisms similar to what you hint at (some of which were made better when I rewrote prompts): On long contexts, it will "lose the plot"; on revisions, it will often introduce bugs on later revisions (which is why I also insist on it writing tests for everything... via correct prompting, of course... and is also why you MUST vet EVERY LINE it touches), it will often forget rules we've already established within the session (such as that, in a Nix development context, you have to prefix every shell invocation with "nix develop" etc.)... The thing is, I've watched it slowly get better at all these things... Claude Code for example is so confident in itself (a confidence that is, in fact, still somewhat misplaced) that its default mode doesn't even give you direct access to edit the code :O And yet I was able to make an original game with it (a console-based maze game AND action-RPG... it's still in the simple early stages though...)