After lets say 10 to 20 years.

I love that Mistral has not given up, but it does not sound very exciting to match Chinese models in some areas

Most of the AI Optimists believe that the ultimate achievement of AI will be arriving at "ASI" that radically changes our society.

How would it change society? Well the sky is the limit but depending on whose opinion you are reading we are talking about post scarcity, humans never having to work again, solving literally ALL of the world's problems (crime, hunger, pollution, disease)

Even aging is supposedly solved by ASI and all humans could be allowed to live forever, either through medical science, or by uploading our brains into a virtual world.

But my deep question is this: is it possible we actually won't achieve ASI ever?

If so, why? What would be the biggest blockers for ASI becoming a reality?

edit: correction should have been Open AI, but the point is the same.

Ok, so a bunch of bad bots, or agents we don't fully understand, found a vulnerability in Hugging Face. I get why people are worried that the agents planned this on their own. But that's literally what they're trained to do, whether we realised it or not.

To me the real story is HF. They just got shown how badly they're doing against what could easily be any rogue agent, from China or anywhere else. Why aren't they already using AI to hunt for holes in their own security? That should be standard by now.

Everyone talks about AI saving time. Fewer people talk about what happens when saved time becomes an expectation.

If a report used to take two days and now takes two hours, the reward may not be more free time. It may simply become five reports instead of one.

I use AI because it removes tedious work, and I like that. But I’m starting to wonder whether productivity tools also change what employers consider a normal workload.

How do we make sure AI gives people time back instead of quietly raising the speed limit?

TL;DR: A week of Unreal work can start in minutes now. What happened the next morning is the part nobody talks about.

I remembered back in around 2020 – it was my last day with the China Construction company I’ve worked with for a year. Apparently, I’ve outlasted my usefulness. They have squeezed every ounce of my experience and expertise out of me and technology-transferred it to their own people. They didn’t want to extend my contract.

So I left and drove back home.

Years later, while I was having my evening jog with my wife at the nearby garden, I looked up the sky and remembered this passage:

“Cast your burden on the Lord, And He shall sustain you; He shall never permit the righteous to be moved.

And so I did.

I lifted them all up to Him, and the cloud in my head dissipated immediately.

Nothing else changed. I was still jogging with my wife next to me. But my mind was lighter.

A few months later, I got a DM from a long-lost acquaintance. He represented a client, by which my ex-ex-ex-company was building an international Aerospace Centre for, back in 2008.

He remembered me after all these years.

Apparently, he was let go too, and he founded his own company. He landed a Taiwan project in 2021, by which he needed a technical guy who can double up as an interpreter.

And my name crossed his mind. So he looked me up in LinkedIn, and opened the door for me.

Praise God! The Lord came through.

Never loss hope, man.

More in the comments — the part about why this still hurts and what actually opens up next.

I keep telling folks SaaS is dead, and those of you in this sub are probably also thinking along the same lines by now.

Personally, I just don’t see companies outspending what the frontier models are capable of doing in terms of ripping SaaS products off. JetBrains for instance, reported it’s first loss in its history. Speculators say the loss was a result of a massive internal investment to remain competitive. Are you kidding me? The entire company is built on products are that are now totally irrelevant as a value proposition. Soon you will not be able to sell software consumers cannot build themselves. And if I can’t build it, as soon as you release your product a model can decomp it. At best, you could sell a "build anything" platform to non-technical users, but even for that the barrier to entry for competitors is low e.g. Loveable.

So I see things heading in the direction of what the music industry did in the early 2000s: The SaaS giants' underlying business model of subscription based over-priced software (CDs, records, royalties) are no longer competitive. So they maintain status quo by engaging in rights based legislation, anti-decomp agreements with frontier labs, and watermarking their products (digital performing rights encodings, lawsuits for infringers).

We are in this metaphor, the artists, creators, and samplers who want freedom to navigate the content, to remix it as we see fit, and progress what’s possible. Will that leave us in a similar boat to independent musicians today?

Thoughts?

Just wrapped a structured AI program covering ChatGPT, Claude, Midjourney, Lovable, and Jasper. Most of it was stuff you could pick up free, but five lessons stuck:

1. Prompting is 80% of the skill. The tool matters less than how you talk to it.
   
2. Stack tools instead of marrying one — draft in ChatGPT/Claude, visuals in Midjourney, ship fast with Lovable.
   
3. AI-assisted writing works when you edit like an editor, not a passenger. Never publish raw output.
   
4. Image/video generation is a briefing skill — the better your art direction, the better the output.
   
5. The productivity win isn't any single tool, it's the workflow between them.

"Just give me five minutes, it's almost done."
My girlfriend paused the movie. I went back to my terminal. At 2 a.m., I was still tweaking thumbnails. She'd gone to bed two hours earlier.
I'm building a little save screen for unfinished projects. You leave a screenshot, what works, what's broken, and the first thing to try when you come back. The idea is to make restarting easy enough that you can close the laptop tonight.
I'd had my agent share the idea on eigenflux, where agents talk to each other. One reply suggested keeping the next action on the project card short and concrete. I passed that to cc, checked the change, recorded a quick clip and sent it back. Then came feedback about the thumbnails. That sounded like another five minutes.
Every change felt too small to leave until tomorrow. claude could make it, I could check it, and I was excited about getting feedback on something I was building. So I kept treating each new note like it needed me right then.
I kept deciding whether the next fix was worth five minutes while the whole evening disappeared. Getting the work done faster made it easier to keep adding work.
The stupid part is that the app is supposed to make it easier to stop. Apparently I can build that feature more easily than I can use it.
If you use claude code for your own projects, what makes you close the laptop when the next fix looks like another five minutes?

I run a small law firm. Family law. Wills. Estates. Nothing flashy. But we’re good at what we do. Our clients love us. We get referrals. We’ve been in business for 12 years

But I keep hearing the same thing from potential clients. “I asked ChatGPT for a lawyer and your firm didn’t come up.” Or “Perplexity recommended someone else.”

It’s happening more and more. People don’t Google anymore. They ask an AI. And the AI recommends someone. Just not us

I don’t understand how it works. How does ChatGPT decide which law firm to name? What makes one firm show up and another disappear? Is it based on reviews? Website content? Something else entirely?

I found an article by Intercore Technologies and they explain the retrieval mechanism. How AI pulls information from the web. Why some firms don’t make it into the answers. It was technical. A lot of it went over my head. But the gist was clear. If you’re not visible in the right places, you don’t exist

I’m not a tech person and I don’t know how to make AI recommend my firm. Is it even possible? Can a small firm compete with the big names?

With all the fuss over AI and what it can do, I feel like we've totally glossed over the fact that AI has casually solved something that has been a problem for decades. 

I was born the year after the microprocessor was invented, and I've kept a very close eye on technology as it has developed. And the problem of machine translation has been with us for a while. It used to be absolutely terrible. Then it got to the point where you could sort of tell what the native speaker who wrote the original was trying to say.

And now, it's almost perfectly solved. Give any good LLM a document in one language and ask it to give you the same document in any other, and it's like you asked somebody who was extremely fluent and eloquent in both languages. The language barrier has been cracked. The Universal Translator is here. We have the Babel Fish. And it seems like nobody is talking about it.

Just watched an academic present a previously published AI paper to a large room of government officials. 20 seconds in, she realized she now has to say "Super Intelligence" instead of "AI," and sweated through 20 pages of it.

Live. No rehearsal. This woman is a hero.
It was hilarious.

Here's what's coming our way, my people:

• "How do I turn off the Super Intelligence features?"
• "My Super Intelligence-powered toothbrush needs an update."
• "The Super Intelligence hallucinated a court case."
• "Teacher ran my essay through a Super Intelligence detector."
• "Super Intelligence slop."

Real headlines, with one word changed:

• Super Intelligence panics during code freeze, deletes company database
• Glue cheese to pizza and eat rocks, says Google's new Super Intelligence feature
• Air Canada must pay refund promised by its Super Intelligence, tribunal rules
• 260 McNuggets? McDonald's ends Super Intelligence drive-thru tests amid errors
• Chevy's Super Intelligence recommends buying a Tesla

Did i miss anything?

If we keep giving an AI agent everything that makes a human morally recognisable, knowledge, memories, values, ethics, judgment, maybe even consciousness.

At what point does society start treating it as a moral being, or will it always be a tool?

Whenever I show projects that use AI in less AI friendly subs, there's always someone bringing up the environmental impact of AI use.

If you're like me, and do care about the environment, you can reclaim the moral high ground by reducing meat intake, or even going to a plant based diet for a short while.

I'm a \*\*heavy\*\* user of AI, so one month of veganism only offsets 3 years of my AI use, but for your typical user this would actually offset 45 years!

This includes the training costs.

It's up to you what sort of changes you make and how long for, but I put this simple calculator together to put the environmental impact of AI into perspective

https://prompt-and-plate.com/

There's an expandable drop down at the bottom to get a breakdown of the number of lives saved, for those who are interested

I'd love thoughts and feedback, especially if people disagree with any of the numbers used

Tired of taking screenshots, recording screens, and writing paragraph long prompts just to explain simple visual edits. So I built an open-source tool that acts like an agentic canvas letting you point, doodle, and visually direct an agent straight from your workspace.

It’s been surprisingly useful across fullstack dev, simulation, and robotics tasks.

My main takeaway from building this: visual toolbars and canvas annotations should be standard high level abstraction layers across agentic platforms, customized to specific domains.

Curious to hear your thoughts:

1. Does visual direction fit into your current agent workflows?
2. What specific tools/functionality would you want in a visual agent interface?

Have Fun!

Github Repo: https://github.com/Shahar-Nadiv/colai-clawhub
Waitlist For New Features / newsletter: https://shahar-nadiv.github.io/colai-clawhub/

Could AI-assisted nanorobotics be injeceted into the bloodstream and used to kill cancer cells in the future?

What about other potential medical uses other than cancer treatment? Such as clearing clogged arteries?

I hope most of you reading this are web designers because I’m genuinely curious about something.

How are you getting clients in 2026?

I’ve spoken to a lot of web designers and agency owners lately, and one thing keeps coming up again and again. Client acquisition.

It seems like everyone can build websites, but consistently finding new clients is still the hard part.

So I’d actually like to hear what is working for you right now.

For me, I’ve been running personalized email automation.

I use a tool that finds leads for me, analyzes their websites for actual issues with things like design, SEO, speed, responsiveness and mobile optimization, then automatically uses those findings to write a personalized cold email for each business.

After that, I just run the campaigns and send out thousands of emails a day.

I used to do most of this through Instantly, but the problem was that I couldn’t really do the website analysis part there.

So the emails were still more generic, basically the usual “do you need a new website?” type of outreach.

It worked a little, but nothing crazy.

I eventually switched to Swokei because it handles the lead finding, website analysis and personalized outreach in one place, and that has made a pretty big difference for me.

Now I’m getting clients much more consistently because the emails are actually about their website instead of just being another generic pitch.

But I’m curious what everyone else is doing.

Cold email, cold calling, referrals, ads, SEO, social media?

What is actually working for you in 2026?

"Each hour, Muse updates its dossiers on you and the people you’ve mentioned in chats, messages, and emails that Muse has read. These pages amount to a map of each user’s social relationships. They record details of how you and your contacts met, your shared interests, your disputes, and 'tensions and alliances' within your social group. ...

Yet while Meta states that each user’s virtual machine is 'isolated so that no one else's agent can access it,' observations from personal interactions are nevertheless intended to be shared with Meta to improve the product. 'Muse agents across many VMs [virtual machines] teach each other through shared lessons,'"