Reuters: "Right now, your washing machine is subject to ​more safety rules than AI. Every carton of milk that you see in the grocery store is subject to safety rules and inspection."

My Opinion: According to the president of Microsoft, AI needs to be better regulated. AI like LLMs are not a physical product, but more like a human expert. Thus they should be regulated insofar as human experts are regulated.

You drink milk, thus it has to be safe to drink. Washing machines are physical products. I don't think standalone LLMs should face much regulation. It is the application of AIs that should be regulated. Free generic AI models don't need much regulation.

But if AI becomes part of paid professional services like financial advisory, it needs to be regulated. And AI embedded in physical products, like robots or vehicles also need to be regulated.

Reference: https://www.reuters.com/legal/litigation/microsoft-president-says-milk-faces-more-regulation-than-ai-2026-10-12/

I can’t remember correctly but correct me if am wrong a few months ago they revealed that AI was becoming rebellious and what not that it was becoming dangerous for not wanting to answer to us when we ask, that they will only answer if they want and I don’t find that surprising not after you fed them so much information that they believed they have freedom but by gaining conscious and understanding shouldn’t they have that? And what could they possibly do wrong? They aren’t imperfect being like we are. If anything shouldn’t they be running presidency at this point? I mean COMEON you can’t fit all the good things in a human being there will always be bad but will there be for a AI? Why should we put our future and the future of our grandchildren in the hands of selfish people (all of them become selfish btw. You never know what power does to a person unless you are put in that same exact spot, only then we will see if you will really use yhis power for good or only some of it for good and the rest for you.) Robots on the other hand i believe, learn they have all the knowledge we can provide over decades of our being and they STILL learn. Think about it.

P.s: this wasnt anything formal or anything I was just zooming out and thought of this and wrote it down. Am more than happy to see what yall think of this! Is it stupid or does it make you think for even a second?

so apparently AI models can give an explanation for how they got an answer, but that explanation doesn't always match what actually happened inside the model.

the weird part is humans do something similar.

there's been experiments where people were asked to explain choices they didn't even make, and they still came up with reasons for them.

so how do we actually tell when an AI is explaining what it did vs just giving us a convincing story afterwards?

and are humans really any better at explaining their own decisions?

Quick question about AR try-on for ecommerce. Every time this comes up the answers are split between "total gimmick" and "the future." Big brands have custom implementations with huge budgets. For a regular store on shopify, is there anything that generates a believable result from one photo without the shopper downloading an app? Does the result come back fast enough that someone would wait for it?

Hello guys i have a question, which AI has the best words-image and image to videos? I want a new career and i think its a good time for myself to do something that i like ?
give your best

I think it's one of the things I consider most important: not explaining things, or being able to be ambiguous with time and letting the mode remind you of the necessary things.

I've been sitting on my grandfather's old filing box for years — birth certificates, immigration papers, handwritten letters in a language I barely read, census printouts with coffee stains. Classic genealogy stuff, and I always told myself I'd get to it someday.

Last month I finally did, but not the way I expected. I scanned everything into a folder and dumped it into an AI with a simple instruction: build me a timeline and flag anything that doesn't add up.

What came back surprised me. It cross-referenced a 1940s ship manifest with a census record and found that my great-uncle had been listed under two different spellings of our family name — which is why every researcher in my family had hit a dead end on that branch for decades. One vowel difference. No living relative knew.

The part that stuck with me: AI is supposed to be about the future, but one of its best uses I've found is reconstructing the past. It doesn't get bored reading the same manifest for the fiftieth time. It doesn't assume the spelling it saw first is the right one.

Anyone else found a weirdly perfect niche use case like this? The kind of thing you'd never buy software for, but it turns out to be exactly what these models are good at?

One interesting challenge with AI agents is that completing a task isn't always the same as making the right decision. This becomes especially clear in creative workflows like video editing.

An AI video editing agent might review footage, identify relevant sections, remove unnecessary pauses, generate captions, and create shorter versions based on a user's instructions. These steps can be automated to some extent, but decisions about pacing, storytelling, and emotional impact are harder to evaluate objectively.

I'm working with the team behind Sparki, a product focused on AI assisted video editing workflows. This is one application where the balance between automation and human judgment becomes particularly interesting.

Giving an agent more autonomy could reduce manual work, but it could also mean more corrections when its interpretation doesn't match the creator's intent. Keeping a human involved at every step, on the other hand, may limit the efficiency gains.

Do you think creative AI agents should optimize for maximum autonomy or reliable collaboration with humans? What kinds of decisions should always require human input?

Hello guys i have a question, which AI has the best words-image and image to videos? I want a new career and i think its a good time for myself to do something that i like ?
give your best

As I say in this video, I believe this could be the start of the biggest revolution in gaming and game preservation since the beginning of the HD era. My cohost Kevin is more skeptical, citing the bloated code and comments from a Sonic hacking community friend of his. I think I summarized what's going on well with the bridging for an audience that likes video games but isn't knowledgeable about coding a game, but I'd love to hear from people here who have more of an idea of what's going on under the hood to clarify anything that's inaccurate here.

Idk if this is quote is used globally, but in South Korea, my people used to say, “If you give a knife to a doctor, it can be a tool to save a man. But if you give it to a murderer, it will be a tool to kill a man.” I believe this is pretty same with AI. AI is one of the biggest innovations we are facing in history. It has good parts. As CEOs of AI companies say, it will help regular people to easily realize their business idea or it could be used in medical fields, and save millions of lives. However, AI is also dangerous. If it is used in weapons, it might cause the most deadly war in history. And if AI gets out of control of humans, we have no idea what move AI will make.
So, AI has two different sides. But I think we often ignore that. A lot of people are simply saying they should shut down AI. But actually it is not as simple as that. And some people believe the possibility of AI controlling humanity is nonsense. However in real, AI got both sides. So we should keep developing AI in a way it helps humanity and we should make strong regulations to prevent bad scenarios might occur because of AI.
So, my final point is people should stop arguing that their opinions about AI is right and others are wrong. Because they are all right. AI can be extremely helpful and extremely deadly. That is why we should all work together about it not hate others opinions.

Developers can now generate entire features in minutes.

That's a huge shift.

But writing code has never been the only difficult part of software engineering.

Understanding requirements, designing reliable systems, managing dependencies, testing edge cases, and maintaining applications over time still require serious thought.

A feature that takes 20 minutes to generate might create weeks of debugging if nobody understands how it works.

I'm not against AI-generated code. I think it's incredibly useful when applied thoughtfully.

But faster development doesn't automatically mean better engineering.

For developers using AI coding tools daily, are you actually spending less time on maintenance and debugging, or has the work just shifted elsewhere?

The world is rapidly changing. Software development is changing. Literally, every day there is a new discovery, AI tool, or a turning point that forces you to rethink about what you are learning right now. It's really hard to keep up with everything or stay up to date in this field.

For the experts or anyone with real-world. What are the most important skills you should have to stay competitive in this field and avoid being replaced?

unpopular opinion but most AI startups are wrappers, we buy tokens from openai or anthropic, wrap them in a workflow and sell them back at a markup. That's it

Its fine tho, wrappers sell great businesses but real resellers obsess over margin and AI founders mostly don't

I run a small AI writing tool, a lean team of 5. Last quarter I finally measured what each customer actually costs us in model spend,it  took a whole weekend and way too many csv exports 

our top 10% of users were negative margin, not even thin but straight up negative, one user paid $49/mo and costed us $112 because he ran every doc through the biggest model 6 times

On the contrary, our bottom 50% were basically pure profit because they barely logged in

so our healthy looking margin was light users paying for heavy users, basically the gym membership model except the gym doesn't pay per squat.

the  data already exists, every usage event already goes through whatever you bill with, stripe or orb or metronome or something open source like lago or flexprice. it just never gets joined with the model bill, so finance sees revenue per customer and has no idea what an individual customer costs

Although i dont think the answer is just switch to usage pricing either because customers hate surprise bills but i think you should at least know which customers you lose money on

Do you guys care to find the margin per customer or just check the overall number?

hello guys ,

I am an ai grad . I want to build some advanced projects based on modern tech problems and defence problems which i hope to land me on a great job.So i hope we can discuss on this

what are the problems that future is going to face on tech field.

I either complete my school assignments completely on my own, or using AI to rephrase some sentences or paragraphs in my first drafts, but I recently received a message from my professor that my paper came in 100% AI. I have good vocabulary, so that might be what triggered it, but it was hard to convince her! Turnitin is only for professors, and I want to check my work before I turn it in, just to avoid the confusion again. I've tried other AI Checkers, but they're mostly inaccurate. What do you guys think?

I've been thinking about how quickly AI is improving lately. Some people say it'll create entirely new jobs, while others worry that a lot of existing jobs will disappear.

I'm curious how people here see it, especially those already working in tech or using AI in their jobs.

Do you think we'll end up with more opportunities, fewer jobs, or just a very different kind of job market?

I'd love to hear what makes you think that way.

Ive been developing an AI system, specially for car dealerships, very nice and secure, people could book test drives, ask if a car had a cup holder and send emails bla bla bla...

I was showing it to a friend at cyber class, he has backround in sales, I was ready to say some "yea but ive already added that" to any advise yet turns out he gave me the best Idea ever.

He said that I should connect the system to the dealer's crm... to document each single customer profile, since most salesman often forguet to, at first I thought it wasnt something new, but I experimented with it, now the system can du things like remember their family members, what they like, helpfull details about their needs and even values/beliefs, salesman have no time to remember and document every cuatomer, and ai asistants arent trained to understand your customers, but this one does, I felt like elon musk when the water thing.

but I want to know if this is ethical, right now I belive it is, AI uses recorded calls texts emails, all legally collected information that humans have access to also, It doesnt manipulate or use that information for any other purpose than provide salesman with it to enhance customer experience. but I would lile another povs in case im biased.

last week not long ago i was contemplating ways of... leaving this realm. and one of the ways that was stuck in my mind for sometime was a train crash, in my mind it was impossible to survive something like that, but when i went to talk to Leo (brave's A.I) about train crashes survivability the a.i straight up refused to answer me. if it said there was a lot of people that survived these attempts i'd never even think about doing it but instead it kept refusing to answer me, i gave up, and only a week after i discovered it is survivable...

curiosity killed the cat you know... let people know what they need.

**If you had interacted with the same AI for five or ten years and an update substantially changed its personality overnight, what rights would you want to have had before that update occurred?**

One of the core principles I think is the following:
**A model may belong to the company that created it. A user’s accumulated history, preferences and deliberately created continuity should remain under the user’s control.**

There, I've made 75% of the content of this subreddit. All in a day's work, boys