Data from Register.si and threat intelligence firm Netcraft shows a major surge in Slovenian national domain registrations (.si) following the recent U.S. Executive Order directing federal agencies to adopt the term "Super Intelligence" (SI) instead of "Artificial Intelligence" (AI).

Key Highlights:

• Month-over-Month Spike: Registrations jumped from ~3,515 in August to over 46,000 in September.
• Single-Day Peak: Single-day registrations reached over 21,000 on October 5 alone.
• Speculative Trend: Domain tracking indicates a rush similar to Anguilla's .ai boom, with over half of newly registered domains listed for resale shortly after registration.

Sources: Register.si monthly stats / Netcraft Threat Intelligence.

Do you think .si will follow a similar trajectory to .ai, or is this purely short-term domain speculation?

been seeing all these AI agents booking stuff, sending emails and doing things on their own.

and honestly idk how much i'd trust them lol

like i'm fine with AI sorting my emails or doing boring tasks. but spending my money? nah i need to approve that first 😭

but then again whats the point of having an AI agent if you have to approve everything it does?

kinda stuck on this one.

would you guys trust an AI agent with your money? or would you want it asking permission every single time?

Has anyone tried it? I am not on the subscription

I'm looking for honest, realistic advice from people working in AI research, mathematics, physics, or related technical fields.

I'm a prospective university student planning to study abroad, and my long-term goal is to become a physicist and researcher I'm particularly interested in fundamental physics, especially the connection between quantum mechanics and general relativity.

However, my circumstances mean that I probably won't start university for another two years. During that time, I plan to rebuild my mathematical foundations, learn the necessary skills, work toward financial independence through online work, and apply for scholarships abroad.

The problem is that recent AI developments, especially in advanced mathematics and scientific reasoning, have seriously shaken my confidence in this plan.

If I start my bachelor's degree in approximately two years, I'll need several more years to complete it. If I eventually pursue a master's or PhD, we're looking at roughly 8–10 years before I reach that stage of my career.

By then, AI could be vastly more capable than it is today. We might have systems that independently solve difficult mathematical problems, develop scientific theories, and make discoveries that would otherwise take human researchers years or decades.

I understand that these are uncertain predictions, not established facts. But I don't think it's reasonable to ignore this possibility when making a decision that will shape my entire adult life.

My concern isn't just whether humans will still be able to do physics. It's also whether pursuing physics will remain a sensible career and financial decision.

I genuinely want to do research, but I also need to earn a good living. I want financial independence, the ability to afford healthcare and housing, and the possibility of supporting a family in the future. I don't want to spend a decade developing highly specialized skills only to discover that opportunities have become extremely scarce or that the economic value of those skills has changed dramatically.

I also realize that being exceptionally intelligent or working in a difficult field doesn't automatically guarantee a high income. That's precisely why I'm trying to understand the situation before committing to this path.

I'd appreciate your perspective on a few questions:

1. How likely do you think it is that AI will fundamentally transform or largely automate scientific research within the next 8–10 years? What evidence supports your view?

2. Could increasingly capable AI systems make human physicists less employable, even if they dramatically increase scientific productivity?

3. If you were starting university today and wanted both a meaningful research career and strong financial prospects, would you still choose physics? Would you choose theoretical physics, applied physics, computational physics, AI, or something else?

4. Which skills are most likely to remain economically valuable if AI becomes substantially better at mathematics, programming, and scientific reasoning?

5. Is there a realistic path that combines fundamental physics research with opportunities in industry and well-paid technical work, rather than relying entirely on an academic career?

6. Am I overestimating how quickly AI could advance, or is this a risk that prospective students genuinely need to plan around?

I'm not asking anyone to predict the future with certainty, and I'm not looking for empty reassurance that everything will work out.

I'd particularly value responses from people who work directly in AI development, AI research, physics, or scientific computing, and who can distinguish their firsthand experience from speculation.

If you were in my position, with limited financial resources and the next 8–10 years of your life at stake, how would you approach this decision?

Thank you for taking the time to read this. I genuinely want to make an informed decision rather than choose a career based on either fear or blind optimism.

Below is my preliminary review of Instinct

Does it live up to the hype?

Short answer: Yeah, kinda.

Big picture, imagine an online secretary that does your bidding for you whenever you want. You just talk to it through imessage and it does tasks for you that you are too lazy to do on your own. The more access you give it over your information, —e.g., digital wallet, gmail, calendar— the larger the task it could accomplish for you.

The way I got involved with it is through my brother. He’s super involved in the AI / tech world and got access, He then gave me an invite —it’s an invite only app, but cost zero dollars if you got an invite. For the past week I’ve been playing around with it to see if it is practically helpful to me.

First, I love that everything is in imessage. As you can see from my screenshot below, it was able to go through my gmail and identify all my recurring subs. It then asked which ones I wanted deleted. With the okay, it went and stopped each of the subscriptions.

okay, so now we’ve established one tangible use case, it can save you money by canceling subscriptions. It could also cancel flights and book you trips based on very specific filters —e.g., you want a five star hotel? You want the cheapest options? Though, to be fair, it does have challenges with certain tasks depending on the website and apps that you ask it to go into. For example, I asked it to go into my lyft app and delete my annual subscription, which it had trouble doing.

The other obvious use case I’ve found helpful is that it can add things to my calendar. It could also answer emails for me. It doesn’t just give me the draft, it actually goes in and send the email after getting my approval. Naturally, this saves a ton of time.

To be honest, I’ve actually been running out of things to ask it. Now, I have set up open claw on my own server in the past, but this is far better than anything I hosted. It is also completely free (for now). I hear that Muse (AI-agent made by Meta) is very good as well, but I haven’t tried it out —the main reason being that I like IMessage too much. For Muse you need to use What’s App to connect to the agent.

I find myself having that overwhelming knot in my stomach thinking about how fast everything is moving with AI, but alongside some excitement for the kind of the future that would be possible using these tools for the right ends (e.g., scientific discovery, improving access to education, not wasting time with rote tasks).

Wonder what other folks think about Instinct or Muse or other ai agents I've never been exposed to. thanks!

[from the github public repo:]

Towerglow draws your Claude Code and Codex sessions as a living 3D city, in a browser tab on your own machine. Every project you work in is a tower; its windows light up while agents read, edit and run commands in it, and every commit rings around it.

Turn on its optional CEOs and it also runs your backlog: you plan the work for all your projects in one meeting, answer the questions up front, and Towerglow works through the list on its own, in the order you set, while keeping part of your quota free for you.

Link to the free Github repo in comments.

I am father of 2 kids and SAP Consultant. I use AI for research and some photo etc stuff nothing really life changing, it helps in my work a lot, it gets done fast and better, in general my efficiency increased.

But kind of every day comes new model, agent or something else and I don't know why I need that and what I can do with it. Feeling something like every year new iPhone upgrade which is not really necessary.

And all the work I do, gets done by free versions, so why you pay for those additional things? For what do you use it ? I don't know what more I can do with all these?

I've been casually looking at what a clusterfuck of a situation china is in lately with their economy, and I can't help thinking that very important lessons can be learned from china's mistakes.

I was curious how much of current ai buildout is actually being used, since it feels like they are just overbuilding at any cost.

Google search says this...

Massive Overbuilding / Ahead of Curve:

According to analysis from Bain & Company, existing consumer and enterprise AI services generate a fraction of what is being invested (estimated around $1.8 trillion out of a required $6 trillion in annual/cumulative value by 2031).

Industry reports note that AI infrastructure is being deployed significantly ahead of the demand curve, relying heavily on speculative future use cases in robotics, autonomous machines, and specialized enterprise applications

China built a massive rail network, putting train stations everywhere.

What ended up happening is the entire country's rail network operates at a massive financial loss. Many train stations don't even have the ridership to justify putting a station there, so they abandoned them.

High speed train is relatively expensive as they raise prices, so citizens opt to ride the cheaper slow train.

.

I just can't help seeing the analogy of overbuilding and eventual under-utilization.

Hey everyone,

Looking at how rapidly AI development is evolving—especially with workflows moving towards autonomous monitoring, multi-agent orchestration, and managing entire backlogs—it feels like we are reaching a major turning point.

We are seeing a massive shift from simple text-prompt chatbots to actual AI agents running complex tasks independently. However, I wanted to open a discussion with this community on a few core questions:

* Where do you draw the line between helpful automation and risky over-reliance on autonomous agents?

* What is the biggest bottleneck holding AI agents back from truly replacing traditional workflows in production environments right now?

* For those building or integrating these systems, what has been your biggest surprise regarding agent reliability?

Let us hear your thoughts, experiences, and predictions in the comments below!

As Ai is expanding in most of the feilds, it is rasing an important concern which is verifying what AI answers. And I believe that with in upcoming years there would another major feild which would be related to verification of AI answers before implimenting it in real world scenarioes.

Even though this broad term has alot of hidden and sub term, I have been working on one of its term deterministic verification.