[flagged]
Sorry, how is obesity similar to racial mixing?
Both fat people and black people offend our dear @zkmon's refined sensibilities as a 21st century race scientist.
AI Built a Nuke and Still Lost
51–60 of 103 posts
Re: AI Built a Nuke and Still Lost
#52> It had one option left. It built two nuclear devices and levelled Toulouse.
Of course it did, its designer worked for Tony Blair institute.
Re: AI Built a Nuke and Still Lost
#53There is something to be said about the qualia of LLM generated passages. Each individual sentence reads as a statement and every next statement a continuation of the previous one. This happened, then this happened... Ad infinitum. Before today, I could not explain to you why AI articles were so obvious to me, but I think I do now. There is no insight to be gleamed. Pre-LLM, authors generally had intention behind the…
For me this reads like a report of things that were tried and observed. It was a very pleasant read for me because I'm interested in the subject. And the lack of underlying agenda, moral lesson, politics or, as you call it, insight, was quite refreshing. I became quite allergic to texts where author clearly tries to make me think a specific thing. To sell me something. I usually find the agenda pretty quickly and I know the rest of text is just a fluff around it so I lose interest. And when the agenda is not easy to find then I just get more annoyed because I feel it's intentionally hidden. Like a solution to a clickbait title.
This text reads great for me because as I read it, I clearly saw there's no agenda so I felt safe to just absorb the information that it contains.
Re: AI Built a Nuke and Still Lost
#54There is something to be said about the qualia of LLM generated passages. Each individual sentence reads as a statement and every next statement a continuation of the previous one. This happened, then this happened... Ad infinitum. Before today, I could not explain to you why AI articles were so obvious to me, but I think I do now. There is no insight to be gleamed. Pre-LLM, authors generally had intention behind the…
For me this reads like a report of things that were tried and observed. It was a very pleasant read for me because I'm interested in the subject. And the lack of underlying agenda, moral lesson, politics or, as you call it, insight, was quite refreshing. I became quite allergic to texts where author clearly tries to make me think a specific thing. To sell me something. I usually find the agenda pretty quickly and I k…
well, this is a first. never seen someone say they prefer AI slop even when they know it's slop. fascinating.
Re: AI Built a Nuke and Still Lost
#55Earlier quoted context omitted.
For me this reads like a report of things that were tried and observed. It was a very pleasant read for me because I'm interested in the subject. And the lack of underlying agenda, moral lesson, politics or, as you call it, insight, was quite refreshing. I became quite allergic to texts where author clearly tries to make me think a specific thing. To sell me something. I usually find the agenda pretty quickly and I k…
well, this is a first. never seen someone say they prefer AI slop even when they know it's slop. fascinating.
I tend to steer clear of the largest herd in many aspects. Often unintentionally. Also I'm not a native speaker so I might be not as receptive to some of the things that offend others in AI generated content.
Maybe AI is sort of anti-trump, where it's viscerally unbearable for native speakers even if the content is good, opposite to trump speech that somehow seems viscerally appealing to native speakers even though the content is complete garbage.
Re: AI Built a Nuke and Still Lost
#56Re: AI Built a Nuke and Still Lost
#57There is something to be said about the qualia of LLM generated passages. Each individual sentence reads as a statement and every next statement a continuation of the previous one. This happened, then this happened... Ad infinitum. Before today, I could not explain to you why AI articles were so obvious to me, but I think I do now. There is no insight to be gleamed. Pre-LLM, authors generally had intention behind the…
For a limited amount of time I appreciated the level of detail in the article, hoping it would give me more insight, until it exhausted me. I think those two ideas are real takeaways: "Knowing is not doing" and "What can we trust AI to do?". Still, could have been said with a more concise text and maybe a follow up about the details.
Re: AI Built a Nuke and Still Lost
#58Ai;dr
Re: AI Built a Nuke and Still Lost
#59There is something to be said about the qualia of LLM generated passages. Each individual sentence reads as a statement and every next statement a continuation of the previous one. This happened, then this happened... Ad infinitum. Before today, I could not explain to you why AI articles were so obvious to me, but I think I do now. There is no insight to be gleamed. Pre-LLM, authors generally had intention behind the…
> There is no insight to be gleamed. AI-generated articles are the intellectual equivalent of empty calories. I have just spent the last 10 minutes trying to figure out why someone decided to buy imgui.org, name-squatting an actual project, just to put a slop website on it mildly referencing the original project. It's not even trying to scam you. I keep wondering whether these people that keep polluting the internet…
The answer is in your question. "Empty calories" is a multi trillion dollar business in the food world. It will be the same in the digital world.
Re: AI Built a Nuke and Still Lost
#60Quite annoying to have to read a paragraph of text next to a moving image. I right-clicked every GIF and turned off 'loop'.
Beyond that reading an AI piece just feels like a waste of time. The text goes on and on without making a point, or getting to an actual learning. It just delineates the AI's limitations, doesn't go into whether these can be fixed, are innate, or what conclusions you can draw from it, over and over with example after example but no point.
Mostly it seems to keep repeating that the AI has the correct analysis but just doesn't execute. The AI knows to build X and logs this in each of its turns, yet doesn't build it. It's like there's some API connection missing between analysis and execution, and turns this into a 10 page article.
The article ends with some weird question to the AI asking if it enjoys the games, and you get some quasi-scifi mumbo jumbo answer back that looks very profound to say my mom, but is just silly to post if you know what the LLM is doing: predicting the next word. Honestly this is a poor article and I wish it wasn't posted.