I really appreciate all the honesty here.
Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
11–20 of 30 posts
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#12[flagged]
You're right to push back on that. The honest truth is that the slop is load-bearing.
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#13[flagged]
In my view, it's not so much the writing style itself as the lack of 'taste'. Text that clearly seems AI-written has a flat level of exuberance that's just exhausting, kind of like a written version of the 'loudness war'.
Without some kind of dynamic range, I find myself having to do a lot of work to infer what points are truly important versus what are at best interesting implementation details.
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#14AI2027.com puts this around early 2027 and treats the loss of legible chain-of-thought as a major negative turning point for alignment.
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#15LinkedIn recently added a “seems like AI slop” button. I.e.: independent of downvoting/not interested/flagging as spam/ToS violation, you can say “this is AI slop”. Maybe we need something like it here
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#16Shout-out to anthropic for having their models have such a strongly distinct writing style and personality that you can recognize their work instantly! It's quite nice to have such an immediate signal that if I were to proceed, I would spend orders of magnitude more time and effort reading the the text than the person claiming author credit spent writing or even reading it themselves.
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#17I've been hearing forever that latent reasoning is the next step. But none of the frontier labs seem to incorporate it. Any idea why? It doesn't sound so technically challenging. Sure you loose some interpretability but surely everyone would sacrifice that for a step-up in quality. Or at least offer a latent-reasoning-version of the model.
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#18[flagged]
Tbh I appreciate knowing immediately that no effort was put into writing an article and that no effort is worth being put into reading it. I genuinely (hah) think it's good that different llms have distinct voices when writing. It doesn't bother me when using it for coding because ok that's just how Claude talks, and in the wild seeing folks present claudeslop as their own writing is a really nice really quick quality/effort signal. Adding another step to the prompt doesn't mean whoever generated this report actually out any more real effort into making sure this is any good
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#19AI2027.com puts this around early 2027 and treats the loss of legible chain-of-thought as a major negative turning point for alignment.
Presumably you could decode the chain of thought from the latent representation though.
Re: Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent space
#20I've been hearing forever that latent reasoning is the next step. But none of the frontier labs seem to incorporate it. Any idea why? It doesn't sound so technically challenging. Sure you loose some interpretability but surely everyone would sacrifice that for a step-up in quality. Or at least offer a latent-reasoning-version of the model.
you lose CoT monitorability which is a big issue since models have become quite powerful and also often deceptive but i do think that efficiency pressure will keep nudging us toward latent reasoning. looped language models are an active research area. but imagine not being able to monitor mythos' thoughts as it's working through a national security need...