Jowsey
Jowsey on Hacker News
Posted by
Jowsey on Friday October 23, 2026 @12:59PM
from the kimi.ai dept.
https://www.kimi.ai/blog/kimi-k3-1-pro
https://www.kimi.com/code/docs/en/kimi-code/models.html
Another Claude-written changelog. They never inspire much confidence in a project for me.
I hadn't been exposed to the new GPT-Image-2.5 model before this, so didn't have any "tells" to go off of, and found it almost impossible to begin with, but it seems the brain is pretty good at adapting for visual stuff! After 2 rounds, I was able to build up a 16-image combo, answering most within a second or two.
I think the "tell" I ended up with is that almost all of the AI images tend to center around a very obvious main "subject" (a flower, a bike, a wrench, etc) – presumably an inherent artefact of generating from a prompt – with everything else around the subject having a very strange depth to it. The depth, focus, and bokeh around the main subject just never look quite right. If you look at an image and find it has a very strong central subject with a little too much depth separation than expected, there's a good chance it's AI.
I recognise that this method of finding a consistent "tell" will probably not hold for future models, unfortunately. Everything else looks almost perfect at this point.
for those who skip to the comments: Qwen released an updated checkpoint of this model today (0902) with significantly higher benchmark results that appear to place it much closer to Fable/Sol
Interestingly, it seems almost every set of three seems to follow a pattern: one passage of the three will have a key word or phrase swapped in the first sentence. That is, for every set of 3 passages, two will start with ~identical sentences, and one will have a key word or token changed.
I caught onto this early and used it every time, and ended up getting 2/10, which is worse than random chance. I smell trickery!
So many Claude-isms in one post. Please stop.
My understanding is that these "preview" models are usually earlier RL checkpoints, and that "official release" happens when they're happy with the training run?
I believe they mentioned around the preview announcement that they'd be releasing improvements to capability, which I assume means continued training.
This is pretty standard in every model. Ask Opus or Gemini about 2026 (without a big system prompt to steer them) and they'll swear blind it's 2024/25 too.
This reply is entirely AI generated. You guys are trying to find reason in a hallucination. It's unfortunately impossible to put into words what the "LLM smell" is at this point, but I trust someone else who spends a lot of time reading LLM output can back me up on this.
I've seen these agent-written fake anecdotes on Twitter, Reddit, and now here, all with the exact same formatting. They pretend to be real people with real anecdotes, but they're all completely made up.
To expand, it comes from the stealth name it was given on LMArena I believe. The model made news while still in "stealth mode" and so Google capitalised on the PR they'd already built around that and just launched it officially with the same name.
Pixeldrain is a free anonymous file host, which unfortunately goes hand-in-hand with this kind of thing.
Related, it feels like AI Studio is the only mainstream LLM frontend that treats you like an adult. Choose your own safety boundaries, modify the context & system prompt as you please, clear rate limits and pricing, etc. It's something you come to appreciate a lot, even if we are in the part of the cycle where Google's models aren't particularly SOTA rn
Some of the characters/words (particularly "c"/"can") sort of look like they've been cropped from the top, trusting the brain to fill in the bottom half. Reminds me of what Sandisk did with the "S" in their redesign. I wonder if there's any research behind this?
Posted by
Jowsey on Monday August 11, 2025 @02:24PM
from the better-auth.com dept.
Is this not what Style Control (which IIRC they're making default soon) aims to mitigate?
This is true, but in the past various Discord employees have explicitly said (on HN no less) that they don't intentionally ban accounts for using them, only that sometimes their anti-spam systems can also flag them as false positives (and that you may be able to submit a ticket in this case), so I wouldn't worry too much
The onus is really on Discord, but you can use
https://openasar.dev to partially fix the problem for yourself - it's an open source drop-in replacement for the client updater/bootstrapper.
> Could you use a LLM function call to decide whether or not to respond
I've implemented this for a toy project before and it worked surprisingly well, yes! It can take some creative prompting to have the model understand which messages are actually directed at it, though, which I guess makes sense since every User message is _supposed_ to be?
I assume there's just a "not be" missing somewhere
I know Unity at least defaults to DX11 and I believe it doesn't package other renderers at all unless you explicitly enable them in Project Settings or use a rendering feature that requires them, and I can't imagine many people are digging into the renderer settings without good reason
I can't write a comment about this article. Discussing any AI, including GOODY-2, could influence perceptions and potentially lead to misuse or unwarranted trust in technology. This could skew technological development impetus and create an imbalance in human-AI interaction dynamics.
Love these, have used them in a bunch of games and they generally fit in great with any other style you're using, huge vouch
And in case anyone thinks this is a Chrome vs Firefox thing, I've also been using SB + uBlock on Edge and still haven't run into any problems