Viewing profile — qbane

This is an important context: the site is more likely to be targeted by scrapers because it is a curated collection of scraped information.

> And yes, my site gets its data by scraping those public documents. So I'm a scraper writing a blog post complaining about scrapers. I'm aware of how that sounds.

I pondered for a while, it IS the company I used to know

> LLMs are as good as almost any security researcher, and anyone can run them. I wonder what the metrics are. Also, not "anyone", just the affordable.

You could, but by targeting a specific Electron app the mindset would be much simpler. Just take a look of how many times does the dev behind VS Code decide to upgrade their Electr…

I doubt the benefit. Practically every Electron app on a desktop uses different versions of Chromium and many are very out of date because of the risk of breaking when upgrading.

I wish Google can bring back the OG Pixelbook, where "AI" merely means Google Assistant.

I realized that my mentioning UUID without v4 was misleading.

Okay, sightly more bits than UUID v4. The whole article is merely reasoning "why at least 128 bits are required", and if you smuggle some non-random data inside these bits the entr…

Note that when neither is supplied, the text mode is the default. This is why I said that it is the C library handling the "b" flag.

tl;dr we reinvented UUID and it works well

It's C library taking care of the "b" part for you according to the article.

There is even a table copy-pasted into a paragraph without noticing. > What’s needed is something different: > Requirement ptrace seccomp eBPF Binary rewrite Low overhead per sysca…

null hypothesis bot

Reminding me of the Shoelace [0] project, which was rebranded as Web Awesome. The original (v2) repository was then archived. [0]: https://shoelace.style/

The watch is interactive! Nice detail

Productivity is finite. If you pivot entirely to the AI stack, you're going to lose bandwidth for everything else. It's an opportunity cost problem.

A better example would be to use LLMs to generate passwords or secret keys. Then even if it looks random to human, the inherent bias would make it a security disaster.

You can still obfuscate JS heavily and make a VM that executes also obfuscated code calling arbitrary browser APIs. At least In WASM everything is sandboxed so the attack surface i…

cf. Kagi is a good take

Remember: It is a company that keep saying how much production code can be written by AI in xx years, but at the same time recruiting new engineers.

The "source" link at the footer seems to point to the author's GitHub profile, not source repository. The repo under it contains no code either.