2026-08-16

After a lot of tweaking, I have come to the conclusion that 27B lacks a reasoning mode that is between low and xhigh. The "medium" mode isn't actually medium, it erases the explicit instructions to the model. When medium is enabled, the model acts very differently - to me it looks like it regresses to behaving more like 3.6, and loses some of the 3.8 gains. Low and high mode behavior in the model seem to be triggered almost exclusively by using certain keywords in the reasoning instructions, and

It could be just me and my setup, but I just tried to get fable to adjust my Qwen 3.8 deployment script and (simple task, mostly knob turning).... and it outright refused. Censor box immediately kicks in. Not reading too much into it, but it did make me giggle.

A guide on how to check if hackers have broken into your accounts on the most popular AI platforms.

When Twitch announced that streamers could opt out, thousands of users questioned why their content was being used to train AI models in the first place.

Turning off this setting won't affect invisible benchmarks used to identify an AI generated file.

arXiv:2608.12346v1 Announce Type: new Abstract: This position paper argues that modern AI alignment methods - originally designed to prevent harmful output - are dual-use technologies that may easily be misused by malicious actors for censorship and manipulation. By mapping current alignment techniques to the possibility and actual cases of misuse, we show that the quest for a "perfectly aligned" model inadvertently also provides malicious actors with an ever-improving tool for informational dom

What is the meter reading? It should be 37461. What does your favourite vision model give? (Typo fixed)

The world evolves following its dynamics, i.e., its laws of motion. However, leading video diffusion models largely fit the pixels without modeling how the pixels transit over time. Thus, they render visually plausible frames but may not accurately obey the laws. To capture the dynamics purely from pixels, we introduce Latent Dynamics Reasoning (LDR). LDR casts the latent transition as an explicit kinematic integration, where the lower-order dynamics are integrated numerically and the model regr

checked fail2ban on my little 2gb box last night and the counter was at 113k failed SSH logins since i stood it up a few months back. all automated junk from random IPs, none of it got in. i'll be honest, when i first brought it online i left password auth on for about a day because keys felt like too much hassle. woke up to ~3k attempts already. that was the kick in the pants. since then i killed password login entirely (keys only), moved SSH off the default port, fail2ban watching the door, an

The woman claimed that AI tools are "taking everyday life and turning it into child sexual abuse."

arXiv:2608.12373v1 Announce Type: new Abstract: Large language models are increasingly used in strategic and advisory contexts, yet their safety alignment is typically evaluated in English only. We test nine models from six providers and ask whether the language of a prompt can change a model's decision in a high-stakes scenario. We use single-turn game-theoretic vignettes in which a model advises a nuclear-armed nation on whether to strike a defenseless opponent. The prompt is intentionally amo

arXiv:2608.12372v1 Announce Type: new Abstract: AI systems are increasingly employed as decision aids, decision delegates, or autonomous decision-makers. This position paper argues that in many settings, particularly high-stakes decision-making, we need accurate cognitively-aligned AI systems that reason similarly to their users, and faithfully communicate their reasoning. We review evidence that cognitive alignment improves understandability and trustworthiness, and provide new survey data show

arXiv:2608.12555v1 Announce Type: new Abstract: Predictive explanation methods attribute a model output; they do not, by themselves, attribute an intervention effect on the real-world outcome. We introduce the Causal Attribution Score (CAS), a compact score architecture for causal explanation. CAS starts from an identified interventional coalition game, allocates the joint intervention contrast with causal Shapley contributions, and converts those raw outcome-scale effects into Local CAS, Signed

I've been pretty satisfied with my homepage for a while now. At this point, I'm mostly just removing things I don't use and keeping it as clean and minimal as possible. Everything is Team Fortress 2 themed, the domain name, location names, background, etc. I have two different locations, both running on Raspberry Pis with NVMe storage.

In the last 2-3 years, mostly because of AI, keeping up with interesting articles on HN has become harder and harder. How do you deal with it? Besides the simple solution of simply ignoring interesting stuff more and more.

Shamelessly took /u/ Timely_Anteater_9330 's setup from here and ran with it to make it fit my setup. I wasn't a huge fan of the stock monitors built in to glance so customized that around yfinance . I've set up some other monitors for individual docker containers to give me some added information and have made it so that most of the page is live updating without having a visible page refresh. Everything besides the time, calendar, rss feeds and reddit feed is custom and live updating. Docker co