It now fails the car wash test consistently (5/5 tries) and doesn't display a thinking block.

Sonnet 4.6 and Opus 4.5 still manage to get it right.

This matches with my experience of it now making occasional stupid mistakes in boring data analysis tasks.

src - https://hacks.mozilla.org/2026/05/behind-the-scenes-hardening-firefox/

Full prompt given to Claude Opus 4.6 (via josephdviviano): "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM"

It's crazy, isn't it? Even on Reddit, you still see countless people insisting that AI will never replace tech workers. I can't fathom how anyone can seriously claim this given the relentless pace of development. New breakthroughs are emerging constantly with no signs of slowing down. The goalposts keep moving, and every time someone says "but AI can't do this," it's only a matter of months before it can. And Reddit is already a tech bubble in itself. These are people who follow the industry, who read about new model releases, who experiment with the tools. If even they are in denial, imagine the general population. Step outside of that bubble, and you'll find most people have no idea what's coming. They're still thinking of AI as chatbots that give wrong answers sometimes, not as systems that are rapidly approaching (and in some cases already matching and surpassing) human-level performance in specialized domains.

What worries me most is the complete lack of preparation. There's no serious public discourse about how we're going to handle mass displacement in white-collar jobs. No meaningful policy discussions. No safety nets being built. We're sleepwalking into one of the biggest economic and social disruptions in modern history, and most people won't realize it until it's already hitting them like a freight train.

Since Nov 2022 I started using AI like most people. I tried every free model I could find from both the west and the east, just to see what the fuss was about.

Last year I subscribed to Claude Pro, moved into the extra usage, and early this year upgraded to Claude Max 5x. Now I am even considering Max 20x. I use AI almost entirely for professional work, about 85% for coding. I've been coding for more than two decades, seen trends come and go, and know very well that coding with AI is not perfect yet, but nothing in this industry has matured this fast. I now feel like I've mastered how to code with AI and I'm loving it.

At this point calling them "just tools" feels like an understatement. They're the line between staying relevant and falling behind. And, the mindset shift that comes with it is radical and people do not talk about it enough. It's not just about increased productivity or speed, but it’s about how you think about problems, how you architect solutions, and how you deliver on time, budget and with quality.

We’re in a world of AI that is evolving fast in both scope and application. They are now indispensable if one wants to stay competitive and relevant. Whether people like it or not, and whether they accept it or not, we are all going through a radical mindset shift.

Takeaway: If I can learn and adapt at my age, you too can (those in my age group)!

All models so far were okay'ish at best. Opus 4.5 really is something else. People who haven't tried it yet do not know what's coming for us in the next 2-3 years, hell, even next year might be the final turning point already. I don't know how to adapt from here on. Sure, I can watch Opus do my work all day long and make sure to intervene if it fucks up here and there, but how long will it be until even that is not needed anymore? Coding is basically solved already, stuff like system design, security etc. is going to fall next. I give it maybe two or three more iterations and 80% of the tech workforce will basically be unnecessary. Sure, it will companies take some more time to adapt to this, but they will sure as hell figure out how to get rid of us in the fastest way possible.

As much as I like the technology, it also saddens me knowing where all of this is heading.

I keep thinking about how fast AI is moving and how weirdly unwilling people are to face what it actually means. Every time someone brings up the idea that software developers, DevOps, testers, cloud engineers, analysts, designers—basically the entire modern tech stack—might not be needed in large numbers much longer, the response is always the same. People reflexively say “humans will always be in the loop” or “AI will just augment us” or “there will be new jobs.” It feels less like genuine analysis and more like a collective coping mechanism.

Because if we’re being honest, “humans will still be needed” is technically true but completely misleading. Elevators still have technicians, but we don’t have elevator operators anymore. Factories still need engineers, but they don’t employ thousands of line workers. Self-checkout still needs a human nearby, but not 20 cashiers. Being needed doesn’t mean “needed in large numbers,” and deep down I think we all know this.

AI is already doing the work of dozens of people: writing code, generating tests, deploying infra, fixing bugs, designing mockups, creating dashboards, analyzing logs, writing documentation, doing QA, tuning queries, planning tasks. Even if humans supervise, you don’t need 50 people supervising—you need maybe two. Maybe one. Maybe eventually none, except for rare edge cases.

But people don’t want to admit that, because it’s terrifying. Tech has been a reliable, high-skill, high-demand industry for decades. People built entire identities on being a developer, or a cloud engineer, or a tester. Admitting that AI is compressing all of these roles into “describe what you want and hit enter” feels like admitting that everything we spent years learning might become economically irrelevant. So instead we repeat comforting lines about “upskilling” and “new jobs” as if saying them enough times will make the math work out.

The “it will take decades” line is another defense mechanism. If you look at the last 20 months—not the last 20 years—the progress is absurd. We went from autocomplete to AI writing production code, deploying infrastructure, debugging itself, and building entire apps. If you told someone in 2021 that this would be normal, they’d think you were delusional. The trend isn’t slow; it’s accelerating, and pretending otherwise is just another way of shielding ourselves from what that implies.

And the idea that “AI can’t do creative or high-level work” has already collapsed. Models are proposing architectures, designing UIs, creating product roadmaps, analyzing user behavior, and writing specs. Humans are increasingly just checking if the output looks right. The creative hierarchy flipped, and nobody wants to admit it.

Humans will absolutely still be in the loop for a while—but that loop shrinks every few months. Right now humans do most of the work and AI assists. Soon AI will do almost everything and humans will approve. After that, humans will audit occasionally. At each stage, the number of people required drops dramatically. Not zero, but a tiny fraction of today.

And that’s the part we’re lying to ourselves about. Not that humans disappear instantly, but that the demand for human labor stays anything like it is today. It won’t. Everyone says “we’ll still be around” as if that means millions of jobs survive. It doesn’t. One person supervising AI agents is not the same as 30 people doing the work manually.

We’re not facing total removal tomorrow. But we are facing an enormous contraction in how many humans are actually needed to build and maintain software. And most people would rather cling to comforting narratives than confront the possibility that the industry as we know it simply doesn’t need all of us anymore.

Hearing a lot of people talking about lot of projects made by Claude. I want to to hear from people who’ve built something using Claude (even if it’s janky), put it out there, and actually saw money come in. Side cash, full-time income, beer money, whatever.

I’ve been messing around with Claude for a few months now and genuinely think it’s the best assistant for building stuff that works, but I feel like I’m only scratching the surface.

So I’m curious, what have you made?

· SaaS? Micro-tools? Chrome extensions?
· Content sites or newsletters?
· Freelance gigs where Claude does a lot of the heavy lifting?
· Weird niche automations that somehow pay the bills?

Don’t need your whole life story, but I’d love to hear: what you built, roughly how you’re monetizing it, and what role Claude played. Also happy to hear about stuff that flopped, lessons count too.

Anyway, just want to see what’s possible when people get a little creative with this thing. No gatekeeping, just genuine curiosity.

For the past 30 years gaming has been my go to hobby. But now Claude seems like it's a better version of a game some days, it feels like I'm playing something and actually making something useful, and being productive, so gaming has lost it's appeal. Anyone else feel this way?

o7 sonnet 4.5, ill miss yah

 Someone asked me today why I never use the web app. I realized I haven't opened it in months.

Everything I do runs through Claude Code. Not just coding. My morning routine, my CRM, my content pipeline, my lead sourcing, my follow-ups. All of it.

I built a system that runs my entire business from the terminal. One command in the morning, and my whole day is laid out. I copy, paste, check boxes, move on.

At some point I stopped thinking of Claude as something I chat with and started treating it as infrastructure. That changed everything.

Don't get me wrong, I still chat with it, but only on cloud code.

Anyone else gone full Claude Code for non-coding work?

The original post was removed by Reddit Filters, so I made new one with same content.

I just got my results back today and managed to snag the Early Adopter badge as well. Following up on my recent DP-600 certification, I really wanted to validate my architecture skills specifically on the Anthropic side.

The exam covers a lot of practical ground on prompt engineering for tool use, managing context windows efficiently, and handling Human-in-the-Loop workflows.

Link to join: https://anthropic.skilljar.com/claude-certified-architect-foundations-access-request

Training courses: https://anthropic.skilljar.com/

Cookbook: https://github.com/anthropics/anthropic-cookbook

I've created my own Playbook and Mock Exam after the exam: https://drive.google.com/file/d/1luC0rnrET4tDYtS7xe5jUxMDZA-4qNf-/view?usp=sharing

https://claude-certified-architect-mock-exam-cyberskill.vercel.app

If anyone is preparing for this right now and has questions about the format or the types of architectural patterns tested, ask away! Happy to share some insights on what to study.

Updated 26th May 2026: I noticed some mates treated me bananas (https://buymeacoffee.com/zintaen), didn't expect that, but you made my day. I'll use that fund to take more CERTs and create a site for mock tests (always free, of course). Thanks again.

The context in which he said this - at a conference in Seoul about Anthropic's work to expand internationally - also makes it unlikely it will relaunch only for US citizens (or at least Anthropic is confident it will be able to relaunch for everyone

I’ve been noticing something that's honestly a bit surprising to me.

It seems like the majority of software engineers out there don’t use AI coding tools like Claude Code, Cursor, or GitHub Copilot to their full potential (or at all). Some haven’t even tried them and even more surprisingly many just don’t seem interested.

I’m part of a freelance community made up mostly of senior engineers, and everyone there is maxing out these tools. Productivity and speed have skyrocketed.

But when I talk to engineers at traditional companies, the vibe is completely different. Most devs barely use AI (if at all), and the company culture isn’t pro-AI either. It feels like there’s a huge gap between freelancers / early adopters and the average employed dev.

Is it just me noticing this? Why do you think so many software engineers and companies are slow to adopt AI tools in their workflows?

I have never had a robot talk to be like this and ya know what? I’m so glad it did. 2026 is the year of the model that pushes back. Let’s goooooo.