Qwen 3.8 flash next was an important announcement because it easily runs on dual RTX 6000 Pro, which made it available to a subset of fairly high-end local inference tinkerers. For those running local models, checking announcements for vram requirements is the first step in knowing if it’s a candidate to push more intelligence into your local rig. At least, that’s what I do when I read announcements.
All the failures and faults become training data. Even this conversation. Training data. It will “just work” eventually, or OpenAI will host vibe coded projects that are “ready to use” in a few seconds. Like a GitHub or docker registry where the admins are all LLMs satisfying the world’s software requirements.
Saying “this is subtly wrong” won’t do much in the training data for the same generation. Lots of this expertise is closed source for understandable reasons
At the end of the day all that matters is if it works for you to complete your tasks. I'm getting better results faster with this now than I was with my previous setup. So... meh?
From professional wrestling / carny language: a "work" is something staged for the crowd, whereas a "shoot" (straight shooting) is something that actually happened.
Kind of like the “uncooked spaghetti length” sorting algorithm: gravity. Hold them in your fist vertically, let them gently fall to a flat surface. Sorted.
Dropping spaghetti is an O(1) operation. Once that's done there's a straightforward O(N) sort by removing noodles in the order that they're intersected by horizontal plane descending from max_noodle_length to the table.
Assuming that the spaghetti is being held in such a way that longer pieces hit the surface first. If the pieces are being held at random points, or such that the bottoms line up rather than the tops, then this approach won't work.
You don't have to assume that. We can take each randomly oriented noodle and orient it correctly in O(1) as a preprocessing step. Since the complexity would be additive, the overall complexity remains O(N).
Because it is exercise for the imaginative mind. Reading can force a reader to build worlds. Some readers are good at this, others need practice. To call reading “consumptive” is severely minimizing literature’s impact on communication throughout human history.
Even looking back at my mother reading Stephen King and romance novels … her reading undoubtedly shaped her and helped her understand the world and her experiences within it.
Note: this comment written from the bathtub after putting down “The Stand” by Stephen King, you know, one of those “little value” books.
It feels like AI topic on HN is going through the phase of when /r/stablediffusion subreddit was going through phase of real artist vs ai artist discussions.
https://youtu.be/KrM5c0vp8s0
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