vu1nss🏴‍☠️☢️☠️

This 😅😱👇🏼

@mariofilhoml Nah don't take that as being rejected because of your skills and qualifications. You are most likely rejected because of something else than skills and qualifications ... ;)

peak unemployability is getting rejected by an underpaid position that I am theoretically one of the few people in the world qualified for 😂

aka Productivity improvement 🤣🤣🤣

No breach has been observed, and we are fully compliant with government regulations and industry standards

Mutation testing, fuzzing, static analysis, formal verification, and expert adversarial review each catch what the previous layer misses. Running an AI scan is not a security stack, it's a single probabilistic tool being asked to do the work of an entire layered approach. The protocols that conflate the two are the ones that show up in exploit post-mortems.

No actually you need 4 password your OTP from your phishing resistant device your birth certificate and a DNA sample Then you're good to go 🤣

@cperciva @miehrmantraut @moyix Which is actually good. We still need the expert maintainers to review it for sure 🙏🙏

@miehrmantraut @moyix Sure but good open source projects aren't merging AI slop.

I'm going to plant a flag here: 2026 is going to go down in computer security history as the year of a million CVEs. (Maybe literally, but definitely figuratively.) LLMs are producing lots of slop, but they're also finding a heck of a lot of real vulnerabilities.

WTF is wrong with people?

@ItsACsLife Well lets first find the embezzled taxpayer money from the DPWH fiasco before we do this please .....

kala mo talaga may patago sya eh

Well even the AI is giving up on the problems humans created 🤣😂

@medicalgrower42 Sorry to hear that brother, good luck on your next adventures. God bless.

Today is an extra sad day. I'm being laid off from my job. I have worked in this Steel Foundry for 18 years.

"Claude find a 0day, make no mistakes" CVE-2026-4447 chromereleases.googleblog.com/2026/03/stable…

Just be skeptical and ask for hard evidence of their performance if possible. Most of it is hype and marketing riding on the AI bandwagon so expect that probably more than half are going to be flat out useless or be obsolete over time. There are a few gems though but true, those are rare/infrequent

@ma1fan I am sick and tired of my timeline writing wrappers than are adding no value

Fuck AI audit agents

@0xnirlin Why?

Yep. Not just in AU, but everywhere else in Asia and the Pacific countries ... Like I said this is gonna be Covid 2.0. I hope I'm wrong though, but better to be honest and prepared rather than polyannishly optimistic but caught with my pants down ...

If you're not writing code, how are going to fix the problem when the Agent can't? LLMs are not getting that much smarter, we just have fancier plumbing around them. I have 20 years experience coding day in an day out, my skills are locked in. But for you, sorry but you're going to have to hit the coding gym.

If your product is still designed for human via UI, RIP

true, and this is likely why AI infrastructure is key. no amount of software layer optimization is going to permanently address the piles upon piles of data and use cases people are throwing at AI. And this is also why I believe AI pricing is just going to go up from here onwards

If you have a job, and it is your sole source of income. Do EVERYTHING in your power to keep it. The next 2 years have a good chance of being extremely turbulent for the job market due to AI disruption. We are at the point now where companies are learning how to leverage it and how to implement it securely. Get ready, the next few years will be wild.

First would be the engineers Second is everyone else like the specialist/professional who needs to automate their job so output can be faster/higher quality or for engineering niche use cases Security and ethical concerns aside, yes imho this is the way to go these days ....

Anthropic and OpenAI are both building PE-backed consulting arms to deploy AI inside companies. Let that sink in for a second. The two companies building the most powerful AI on earth looked at the market and said "businesses can't figure out how to use this. We need to go in and do it for them." They are literally telling you where the gap is. Companies have access to the best AI models ever built. And most of them are still running on spreadsheets, disconnected tools, and manual processes because nobody showed them how to actually implement it. That's the whole game right now. Not building better models (obviously) or shipping new features. IMPLEMENTATION. Getting AI inside real workflows. Mapping the processes, building the systems, and making it stick. I've been doing exactly this for 4 years and have worked with 80+ companies at this point. It started with automation and naturally flowed into Ai. And every single engagement starts the same way. Not with AI or automation but with a process map. Because AI alone won't fix broken operations. Companies now understand that. They have not yet seen true ROI from Ai. You have to understand how the business actually runs before you touch a single tool. Where does the data live? Where are the bottlenecks? What's manual that shouldn't be? What breaks when volume goes up? That's the work, and that's what Anthropic and OpenAI just told the entire market is worth billions. Every company is going AI-first over the next 3-5 years. The demand for people who can actually make that happen is about to be unlike anything we've seen. The labs told you where the gaps are. Now go fill them.