Earlier quoted context omitted.
Everyone censors for their core jurisdiction/audience. The Enlightened West just calls this guardrails
You make it sound like the DNC.
Fable and the end of the free lunch
251–260 of 268 posts
Re: Fable and the end of the free lunch
#252Earlier quoted context omitted.
> training LLMs on everything humanity knows so far? That's not all of what we are doing for at least a year, possibly few. LLMs are trained increasingly on generated inputs. Soon human sourced material is going to be rounding error in the process of training.
To clarify: We are not training LLMs on any information that humanity does not already have access to.
If you add two random numbers and calculate the result and those happened to be numbers noone else ever had idea to add you created a new piece of information. Template is not new, but the piece of information is. And sure, this template might be very simple, too simple, but you can come up with more complex one. And metadata is data. You can create templates in similar manner to how you create new pieces of information using them.
And labs training AI are doing it for years at this point. And it is ever increasing fraction of all training.
Re: Fable and the end of the free lunch
#253Earlier quoted context omitted.
Sure, and by the same logic, if I was trying to cook a steak, I would not trust an arbitrary human to know the correct temperature off the top of their head; I'd want someone who I could trust had actual experience with the task I was trying to perform. The difference is that most humans are fully able to recognize whether they've cooked steak often enough to know the correct temperature off the top of their head, an…
His point was that, just like humans, if you ask the LLM to look it up, it will give you the correct answer. Just like humans, if you don't ask them to look it up, you don't know what you're going to get.
Re: Fable and the end of the free lunch
#254A few months ago folks were understandably annoyed when Microsoft dropped their heavily subsidized per-request pricing model because it was figuratively burning cash. Well, I'm here to tell you that whatever is going on behind the scenes at Cursor with this Space-X acquisition in the works, the Auto setting is clearly routing all prompts through "Cursor Grok 4.6 High" right now. This is a degree of subsidy that makes…
How well does Cursor work with heavily agentic workflows? I usually keep 4+ agents churning, many of them on tasks that take hours or day. I only played with Cursor a bit, but it seemed to want input from me every 10 minutes or so.
I am not saying that you're wrong, just very aware that we appear to use LLMs in radically different ways.
Only the most substantial requests run for ten minutes or more, and I would spend an hour or more writing the prompt for that action.
I am always the bottleneck for how quickly Cursor can do what I want, with the level of outcome that I get.
I would genuinely love to be a fly on the wall while you do what you do, because it just doesn't currently make sense to me.
Re: Fable and the end of the free lunch
#255A few months ago folks were understandably annoyed when Microsoft dropped their heavily subsidized per-request pricing model because it was figuratively burning cash. Well, I'm here to tell you that whatever is going on behind the scenes at Cursor with this Space-X acquisition in the works, the Auto setting is clearly routing all prompts through "Cursor Grok 4.6 High" right now. This is a degree of subsidy that makes…
Giving Elon cash seems still wrong to me.
However, I've been using Cursor since it came out. I have a massive amount of institutional knowledge locked into their platform, and vastly prefer it to the other options available even if the switching costs were zero.
Going through what would amount to significant effort/time/cost to switch to a different coding tool as a sort of performative political rebuke is just not how I would recommend anyone protest DOGE.
Re: Fable and the end of the free lunch
#256Earlier quoted context omitted.
So you choose bad over worse and pretend it's good
I haven't said anything about "good", I just pointed out that there isn't exactly an alternative to Chinese models if censorship and restrictions are regarded as bad for longevity. You can't really do better than the Chinese models for longevity; US models are by far the worst in this regard. So "What about censorship?" is an absolutely hilarious question to ask when Chinese models are presented as an alternative. Ye…
"nothing happens in 1989" is censorship. "I won't tell you how to build a bioweapon for genocide" is guardrails. I like the second one because I like to be alive.
Re: Fable and the end of the free lunch
#257The real revolution is Deepseek v4 flash and similar models (GPT 5.6 Luna, muse spark 1.2, mimo, etc...) - Genuinely good performance for a tiny fraction of the cost of Fable and even GLM etc... I think a lot of people would be very content if they never got smarter, and just kept getting even cheaper/faster. Of course, both things continue to happen on a seemingly monthly basis
I was using ChatGPT voice during cooking to reflect on variations of a dishes i was preparing for years. It was so amazing to get advices and reflect that it struck me : I could use this model forever - it’s clever enough to help me tons and do lot of work for me - even if ai would stop evolving I would love it
Re: Fable and the end of the free lunch
#258Earlier quoted context omitted.
this is how i felt about opus 4.6 i still use it it's just faster and does enough to be super helpful. i've used these later anthropic ones a few times but the word salad and slowness feels like it just opens the door to building shit that just stacks and adds on itself. if deepseek and stuff are 4.6 caliber i literally don't know why im here i should probably just go sign up for openrouter at this point
the jump from 4.7-4.8 to 5 is so bad in terms of the word salad i just get fatigued from it, am I holding it wrong or something? sometimes it's fine but the constant RLHFisms like the constant "worth flagging" and stuff is getting really old
Re: Fable and the end of the free lunch
#259Earlier quoted context omitted.
His point was that, just like humans, if you ask the LLM to look it up, it will give you the correct answer. Just like humans, if you don't ask them to look it up, you don't know what you're going to get.
And my point is that I've never met a human who confidently asserts incorrect information in such a broad range of domains rather than just admitting that they don't know
Re: Fable and the end of the free lunch
#260Earlier quoted context omitted.
How well does Cursor work with heavily agentic workflows? I usually keep 4+ agents churning, many of them on tasks that take hours or day. I only played with Cursor a bit, but it seemed to want input from me every 10 minutes or so.
I don't know because I honestly don't know or really understand how/why anyone needs what you're describing. I am not saying that you're wrong, just very aware that we appear to use LLMs in radically different ways. Only the most substantial requests run for ten minutes or more, and I would spend an hour or more writing the prompt for that action. I am always the bottleneck for how quickly Cursor can do what I want,…