x312

6 ms·

1.
Does AI Assistance Enhance or Erode Expertise?(nber.org)
3 points by x312 3d ago|1 comments
2.
by x312 5d ago
MIRI has one: https://intelligence.org/2026/05/12/summary-an-international...
3.
by x312 8d ago
The proof is that LLMs could barely solve arithmetic 3 years ago, but now surpass the best human mathematicians, and that this has all occurred from simple principles (RL + compute) that will continue to scale up by factors of millions in t
4.
by x312 8d ago
This is increasingly the consensus I see also on the academic side of AI/safety research. Specifically that AI poses an existential risk to humanity. This was a fringe belief until recently, but the progress of AI in research is imposs
5.
by x312 12d ago
Given how many private benchmarks they're using now, its likely they just tested different combos until they got the result they wanted. Completely discredits the index if it just gets modified to match social media vibes.
6.
by x312 13d ago
Hmm, 61 on ArtificialAnalysis, effectively matching GPT-5.6 and trailing the new Meta model. How is that possible along with the other metrics they shared? Insanely jagged intelligence?
7.
by x312 27d ago
I believe its the same as free models in general on Openrouter, 1k requests per day for accounts that have some spend history.
8.
Misaligned AIs could use killer robots to take over(lesswrong.com)
7 points by x312 1mo ago|4 comments
9.
by x312 1mo ago
The provider decrypts it and puts the decrypted reasoning into the model's context window. They prompt the model to repeat back the reasoning. So then the model echoes it back in plain text.
10.
by x312 1mo ago
Super cool that this works. I'm surprised these companies re-use the same encryption key across models! I wonder if you can use these for attacks, like this previous paper showing that if you know how a model reasons, you can "fak
11.
Existential Risk from AI: An Exposition for Mathematicians(alkjash.github.io)
2 points by x312 1mo ago|0 comments
12.
by x312 2mo ago
Have you tried Novita? They're zdr and I find they usually have better cache hit rates than fireworks. No affiliation.
13.
by x312 2mo ago
It's been known for several years that LLM activations encode future tokens ahead of time (e.g. https://arxiv.org/abs/2404.00859 ). But this has only been shown on simple tasks, so I think this paper is still quite
14.
by x312 2mo ago
Considering the job description is unrelated to the company and the title, this is a scam post, not quite a "ghost job". They're probably rapidly opening + closing new jobs to increase visibility, as matching models on job bo
15.
by x312 2mo ago
Given their pricing, I'd guess their models are just way bigger in parameter count. They've always underperformed in cost-per-performance. They also target a cost-insensitive market (corporate/coding users) compared to Google
16.
by x312 3mo ago
Love your work on this, thanks for bringing the ggplot syntax to Python!
17.
by x312 3mo ago
Yeah, the footnote/sidenote on the paper (the one labeled #2) mentions this as well so you can't type that directly
18.
by x312 3mo ago
I believe they are trained for security now, but you're not wrong in that it's kind of stapled on top https://arxiv.org/abs/2404.13208
19.
Prompt Injection as Role Confusion(role-confusion.github.io)
235 points by x312 3mo ago|116 comments
20.
by x312 3mo ago
A lot of open weight models don't understand intent well, they'll overfixate on a word in the prompt or just go off the rails trying to do much work. GLM-5.2 actually has really good intent understanding though, on par with GPT-5.
21.
by x312 3mo ago
This works because Nex itself is a finetune of Qwen3.5 ( https://huggingface.co/nex-agi/Nex-N2-Pro ). It's merging Qwen3.5 with a Qwen3.5 finetune. I don't believe this would work on two LLMs that have differen
22.
Rethinking the Value of Arbitrary Order in Diffusion Models(arxiv.org)
2 points by x312 3mo ago|0 comments
23.
by x312 3mo ago
True, but coding agents have only been practically useful since early 2025. Jobs are flat or a bit up since then.
24.
by x312 4mo ago
This paper has an major issue that they are not surfacing, these activations can just be correlated on a common latent. For example, both the original activation and the explanation could share a broad latent like "this is an adversari