vu1nss🏴‍☠️☢️☠️

This 😅😱👇🏼

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.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

@paoloanzn @PicoClaw 🤷‍♂️🤷‍♂️ yeah, also expecting these companies to inject crap that violates our privacy. if not already.

after acquiring openclaw 4 weeks ago openai just banned my account i was using for my company's @picoclaw agent... so apparently ai agents are the future and will benefit all of humanity unless its something not owned or developed by them i guess just wait until they'll tell @steipete to add tracking to your agent for "ai safety policies"

@skindie___ because you forgot to use “claude --dangerously-skip-permissions”

If Claude code is so good why can’t it open the Strait of Hormuz

@MackinleyZamora I try to be unbiased politically, but this just made me laugh out hard. This post did not age well 🤣

Makalipas ang apat na taon, kumusta na kaya si Ireneo ngayon?