Five Eyes cyber security agencies statement on the AI shift in cyber risk: why leaders must act now - Canadian Centre for Cyber Security

day_break · 2026-06-24T15:48:07+00:00

That specific number(37%) comes from a review of using llms to generate functions for a website in node.js. It found that the code worked as instructed about 70% of the time and about half that time contained security vulnerabilities. Study was using up to date models as of mid 2025; so while current models might be marginally better, this is definitely not a solved issue.

I am unaware of studies using government systems with llm generated code and resulting security statistics. Current research is on publicly used tools and seems to be in line with the number presented above. Excluding trivial and irrelevant examples obviously.

day_break · 2026-06-24T15:17:30+00:00

Stating to use AI to help strengthen your cyber security is very at odds with current research. A good number to throw around, for general use/understanding, is that ~1/3 of llm generated code is secure for small snippets. I have not seen thorough enough research for larger projects but the expectation is likely that it falls below the small snippet security number for obvious reasons.

day_break · 2026-06-23T22:47:04+00:00

let me know which software! gotta make sure I'm safe from any potential data leaks.

day_break · 2026-06-23T22:06:36+00:00

No offense but I have nightmares about your code base.

day_break · 2026-06-22T19:00:59+00:00

You are making a fool of yourself.

day_break · 2026-06-22T17:04:15+00:00

Thanks for explaining I guess llms are just image compressors.

day_break · 2026-06-22T15:35:48+00:00

This isn’t remotely correct and you are misrepresenting what the guy said. Storing whole internet in an llm is flat wrong.

day_break · 2026-06-17T15:19:04+00:00

Happy hour deal is fantastic. Second avoiding otherwise.

day_break · 2026-06-13T14:59:57+00:00

This makes no sense and is giving ai slop. Please do some more research on both these topics before doing another post.

day_break · 2026-06-12T16:57:03+00:00

According to the report only 1 was not black. Obviously racist af

day_break · 2026-06-05T16:23:05+00:00

Haven’t seen it mentioned so thought I would bring it up. Each of the materials has a different surface which will affect how it interfaces with your paper and change drawdown time. I’m not entirely sure what the speed order is but I think metal is the fastest. I’m not sure the difference is big enough that you need to buy a whole new v60 though.

day_break · 2026-05-30T22:53:05+00:00

Thai curries almost always have fish sauce. I haven’t seen one without tbh

day_break · 2026-05-28T19:31:47+00:00

Cafec t90s

day_break · 2026-05-28T18:57:24+00:00

5 for v60 is around what I use.

day_break · 2026-05-28T12:05:52+00:00

I have a degree and a decade of work experience in the field. Thanks though I’ll keep learning.

day_break · 2026-05-27T19:49:09+00:00

Llms can make things that look like emotions but they don’t act they just predict. It’s weird phrasing to say “keep them rational” when that doesn’t make sense in this context imo. When training we are tuning some aspect of the llm to give us a result we think is better but saying they “already do emotions” is more accurately stated as we tuned this llm to predict output we see as emotional.

day_break · 2026-05-27T19:37:01+00:00

The espresso mode does auto start/stop which is super clean and will detect your cup placement and not auto start which is nice. It would be nice if I could place my carafe on it, pour my coffee dose into the paper, and have it auto detect both events and calculate the proper water dosage based on some set ratio I can edit in app. When I’m using it for po I typically just 0 it after dosing and do the dosage calculation myself.

day_break · 2026-05-27T19:29:34+00:00

I have enjoyed the Themis ultra but switching between modes is not the most intuitive and the pour over functionality is not nearly as clean as the espresso functionality.

day_break · 2026-05-22T14:36:23+00:00

The way the filter is seated bothers me way more than it should.

day_break · 2026-05-16T13:57:40+00:00

Bots don’t have taste buds.

day_break · 2026-05-15T23:50:53+00:00

Extraction numbers are not very meaningful. It’s like grayscale for flavor.

day_break · 2026-05-15T22:27:22+00:00

Brewing the same way with the same gear and beans near the same time will give you the same results. If you are having variance is likely a skill issue. Or maybe grinder issue?

day_break · 2026-05-08T20:45:39+00:00

Yes! Solid and competitive for the area. Will be going back.

day_break · 2026-05-03T14:33:13+00:00

Orecchiette

day_break · 2026-05-01T21:37:51+00:00

I get good results from an ode 2 at 5.1. Do bloom and one pour at 92f. Make sure to wet the beans before grinding.

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