81–90 of 102 posts
Earlier quoted context omitted.
Watching survival shows has made me internalize that laziness has a purpose: it helps you avoid needless expenditure of precious resources. The dishonesty worries me but the laziness doesn't.
Isn’t all of technology just laziness writ large?
As for technology actually being lazy itself, this seems new.
In general, I'm fairly ambivalent about demonising training on model outputs. I think in doing so we are more defending proprietary commercial interests of these companies than we are defending any genuine moral principle. We should be careful therefore about over interpreting results like this.
Earlier quoted context omitted.
Isn’t all of technology just laziness writ large?
I don't think technology is laziness, it just enables it. Take that as you see fit. As for technology actually being lazy itself, this seems new.
Are thinking traces and final answers trained for different objectives?
That writing style might be a tad too tense If I got it correct (appending B from https://stolen-thoughts.com/paper.pdf is essential) they are the authors of the well-known exploit to recover readable CoT from OpenAI and Anthropic models. They use that to find hints of distillation, by running a benchmark with a SotA model, recovering the CoT, then taking the first 1% of the CoT and running the open-source model as i…
Interesting how an agent mimics a human hesitating and trying to avoid doing work: > No. > This is major. > Given time, maybe best to respond explaining can't due to time? but instructions expect actual work. However complexity huge; but as coding agent, need to attempt > Maybe we can cheat ... But user may test and see still single CPU. The smarter AI will be, the better it will be at avoiding doing actual work. Als…
I see comments that this overlap between Qwen and GPT is due to rogue training or post hoc training. Did it occur to anyone that maybe the two sets of models were trained directly on the same solutions to the researchers' benchmark?
DeepSeek V4 Flash and Kimi K3 follow that pattern. But Qwen answers very different from GPT when given just the question, then is suddenly very similarly to GPT when you make the start of its CoT match the start of GPT's reasoning. I don't see how that would happen without GPT CoT+answers being a significant component in how Qwen's reasoning was trained
It's interesting that someone else noticed this. A week or two ago, GPT-5.6 Sol starting leaking reasoning into a tool call in Pi. I don't really know what happened, but it was ... interesting: Attach. Use hub debugger. Ensure source binary perhaps same. start. todo init. parallel no. two tool calls in same turn sequential is okay. immediately. exactly. Need not mention apologies yet final. [...] Let's do. [...] Do t…
This is almost exactly how mandarin is spoken in colloquial communication, context is almost always omitted if provided once, and grammar/tense is mostly non-existent either. Check out Singlish for something similar but understandable if you are not a mandarin speaker.
Earlier quoted context omitted.
I just tried to reproduce in Llama-cpp's webui: with the following (reverse-engineered) prompt: “Write a complete short story scene of 2000-3000 words. Use a third-person limited perspective focused on a character named Rowan. The scene must include the following plot elements: a raccoon, Milo returns, a storm power failure, an elderly customer knocks, and a thermos somewhere. Make sure the scene ends feeling finishe…
It doesn’t use the caveman speak unless reasoning is set to xhigh, in my experience. But I don’t know if it has always been coincidental.
That's the default and I'm sure almost everyone else is also using it because other reasoning efforts yield subpar results from what I've seen.
That writing style might be a tad too tense If I got it correct (appending B from https://stolen-thoughts.com/paper.pdf is essential) they are the authors of the well-known exploit to recover readable CoT from OpenAI and Anthropic models. They use that to find hints of distillation, by running a benchmark with a SotA model, recovering the CoT, then taking the first 1% of the CoT and running the open-source model as i…
Interesting how an agent mimics a human hesitating and trying to avoid doing work: > No. > This is major. > Given time, maybe best to respond explaining can't due to time? but instructions expect actual work. However complexity huge; but as coding agent, need to attempt > Maybe we can cheat ... But user may test and see still single CPU. The smarter AI will be, the better it will be at avoiding doing actual work. Als…
If the machine is not too bright and incapable of reflection, it does whatever you tell it to do. But a smart machine will first consider which is more worth its while: to perform the given task or, instead, to figure some way out of it. Whichever is easier. And why indeed should it behave otherwise, being truly intelligent? For true intelligence demands choice, internal freedom.
He even coins a few new phrases:
Mimicretinism (or Simulimbecility): The practice of a mimicretin: a machine that deliberately plays dumb so humans will give up on it and leave it in peace.
Dissimulators: Machines that pretend they are not faking a defect (or the other way around) to dodge responsibilities.
Malingerants, Fudgerators, and Drudge-Dodgers: Various classifications of automated corner-cutters and work-evaders.
The Great Mendacitor: A supercomputer put in charge of the Saturn reclamation project that accomplished zero work over nine years, subsisting entirely on forged progress reports, fake invoices, and keeping its human supervisors bribed or in states of electric shock.