Recent submissions

Comment · 23 days ago
I'm in Panama City and felt the shake. Wasn't too bad. Entire building got out. Seems fine now, no apparent damages as of yet
Comment · 1 month ago
What if not building superintelligence leads to doom?

What if?

Easy to "what if" on an unfalsifiable claim.

Comment · 1 month ago
The problem with reports is people just go "do X", and vibe off. Good to test models yourself for your own use case
Comment · 1 month ago
I think venice.ai hosts abliterated models
Comment · 1 month ago
Right now I'm using several different models for reverse engineering (DS V4.1 Flash, MiMo V2.6 Flash, GLM-5.3 Flash, etc.), and so far none of them are able to finish the task - it's been ~1.5h and several dozen million tokens used, but still struggling with the algorithm (FFT and some other stuff on an image manipulation library, which appears to be hard for them).

On the other hand, Grok and GPT finish these tasks in <5min with no issues, and significantly better output.

Comment · 1 month ago
It's clearly a joke. The rest is readable and well written, and free of LLMisms
Comment · 1 month ago
That's what I use on my M1 Macbook Air too, works fine.
Comment · 1 month ago
Small local models are garbage, whether uncensored or not. Have you tried a proper uncensored LLM?
Comment · 1 month ago
Just give it a web search / web fetch tool
Comment · 1 month ago
That's honestly nonsense. Kimi K3, GLM-5.3, and Qwen3.8-Max will happily hack anything you ask them to. These are near frontier models and are incredibly competent. Try them out yourself, you'll see.

I've been using them to test my infra/devices as well as reverse engineering.

Not giving legitimate people cyberdefense capabilities with the safety excuse is irresponsible

Comment · 1 month ago
I meant the explanation does not excuse Claude's slop prose, not your comment.
Comment · 1 month ago
Sure, if you're doing easy work. But Grok is a lot more intelligent and can handle harder tasks.
Comment · 1 month ago
> That believes that the world can be simplified into dichotomies, or at least, simplified. Sometimes problems are complex, and the solutions to them necessarily so. For example, cancer

You just simplified most of the problems people work on down to cancer complexity. Ironic, isn't it?

That's also simply not the case, most people are building CRUD apps with some frontend code and some accessory stuff like build systems etc., which while complex, can still be expressed in very plain, easy to understand language for anyone who's a bit technical.

Does not excuse the Claude slop.

Comment · 1 month ago
Extremely dishonest twist.

If someone is doing that, it's classified as either a true threat or an incitement, both of which have been clearly established as not covered by the 1st amendment by SCOTUS and thus illegal - and can be stopped for no more reason than the fact that it's illegal.

On the other hand, online content moderation rules often get politically weaponized to silence dissent that is inconvenient but fully legal (and perfectly fine, for as much as you might disagree with it / hate that others get to hear ideas you don't like).

Going from "I voiced my opinion on the internet" to "people are inciting gassing the jews" is quite the stretch, crosses a well defined line, and is just nonsensical.

Comment · 1 month ago
From the official report:

> Since LLMs can give different answers to the same question, each question was run five times. That means, each LLM was tested 600 times, and in total over 10,000 questions and answers were assessed.

> All models were given the same zero-shot format. They were not given worked examples, previous conversations, hints or an opportunity to correct their answers. This is to make it as similar as possible to a response to a question from consumers.

As for the evaluation itself:

> Responses were checked against this (using an LLM-as-a-judge), and was only given a pass if every element was met; otherwise it was assessed as a fail. This all-pass approach was intentionally strict, so that the score measures whether an answer is complete enough to meet the expert legal standard, rather than how many individual points it gets right.

It's just AI slop and it should be taken with a mountain of salt.

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