
r/AIDiscussion

What human skills do you think will become more valuable because of AI?
Curious to find out what other people think about this.
Everyone talks about what AI will replace, but I’m more interested in what it will amplify.
Which human skills (creativity, empathy, judgment, physical work, etc.) do you think will become even more important in an AI-dominated world?
What are you personally focusing on learning or improving?
I'm building AI tools for small businesses but genuinely don't know who needs what help me out?
I have been working hard to build some Artificial Intelligence products for small businesses but I have hit a roadblock. It is not a problem with the technology. It is more like I do not understand who really needs these Artificial Intelligence products.
My problem is that small businesses are all very different from one another. For example a local bakery, an agency with only five people, a consultant who works on their own and a retail shop all have very different issues. I keep thinking about what I should focus on building. I wonder if a small business owner even has the time to use an Artificial Intelligence tool.. Do they need something that is really easy to use and just works on its own in the background.
Do they care more about saving time saving money or looking more professional to their clients. I really do not know the answer to these questions. I would rather ask people than make a guess and build something that nobody wants to use. So I am asking all of you. What would really be useful for your business or workplace. Is it something that helps with answering customer emails. Maybe something that automates the boring administrative tasks . Perhaps something that helps with social media and creating content. Is it something entirely different. I am not trying to sell you anything. I do not have a website to show you. I just want to figure out what problem is really worth solving before I spend much time on it. I would really like to hear about what annoys you on a basis and how Artificial Intelligence products can help small businesses like yours. What do you think small businesses like a bakery or a retail shop need from Artificial Intelligence products .Can Artificial Intelligence products really help an agency or a freelance consultant.
I want to build something that's really useful, for small businesses and I need your help to do that.
By 20 to 1, Americans Want the White House to Safety Test AI
ifstudies.orgWill AI replace programmers?
There's a lot of debate about whether AI will eventually make programmers obsolete. On one hand, tools like GitHub Copilot, Claude, and ChatGPT can now write code, debug, and even build entire apps. On the other hand, programming involves a lot of problem-solving, architecture decisions, and understanding business logic — things AI still struggles with.
Do you think AI will replace programmers entirely, or will it just be a tool that makes us more productive? Will junior devs have a harder time breaking into the field? Curious to hear everyone's thoughts.
Qui a vraiment déployé des bots OpenClaw ou Hermès en prod?
Hello à tous,
Avant de cramer du temps sur une stack bot autonome (d’abord pour ma prospection mail et mon marketing puis gestion crm..), je cherche des retours pour automatiser au max mon activité.
Contexte : avec mon SaaS, je tourne sur Make.com depuis un bail, c’est flexible, mais segmenté je veux passer au cran au-dessus. J’utilise Claude aussi mais ce n’est pas « autonome ».
OpenClaw a l’air solide. Hermès tout le monde en parle, mais zéro retour terrain crédible, juste des threads LinkedIn qui sentent l’affiliation.
Ce qui m’intéresse : votre setup / avis / risque de coût, le temps de config réel, des exemples de cas d’usages qui on marché ou non ?
Florida and Trump Administration Negotiate Closure of Controversial “Alligator Alcatraz” Detention Center in the Everglades
centralflorida.substack.comSonnet 4.6 ClaudeCode First Impressions vs. GPT5.5 Codex
Coming from GPT-5.5 Codex.
I've been making an app for roughly 25 hours now with AI, trying to vibe code everything. This obviously has its ups and downs, but so far it's a steady trajectory. As the project gets more complex, it often feels like the polishing stage is just further increasing in size, but I still feel like regardless I could finish this app without coding once myself - which for AI is super impressive, and is making me believe that the future of open source free apps is looking better and better.
I haven't tried Opus 4.7 yet, as I wanted to see what I could do with the base model. Claude told me Sonnet 4.6 was good enough for my code base, so I trusted in it. While it did quite a lot for the 1h 58m 42s session I got out of it, the execution was lacklustre.
It would implement what I said, but aesthetically it wouldn't look great. Even screwing up the alignment/evenness or forgetting basic UI elements I strictly told it to include. When reviewing what it worked on and trying to fix mistakes, it took upwards of 7 attempts to get what I wanted, and sometimes it would progressively make the problem worse.
Sonnet 4.6 might be good for the very bare bones getting a feature to exist, but getting it to look great, perform good, animate well, and integrate alongside other UI elements - it simply cannot do this well enough for me to recommend it whatsoever. Even with the nearly double amount of usage I got out of it compared to GPT-5.5, the consistency and polish of GPT5.5 was a lot better overall, getting the same tasks done in 2 prompts with greater presentation vs. 7+ prompts or being unable to fulfil my task with Sonnet 4.6.
Now this isn't to say GPT5.5 is without issues, as I've had to direct it a lot more than I'd like. It can't really do enough thinking for itself and will usually miss very obvious things I'd want, but with enough prompts and time it can get to where I want my app to be, while I can't say Sonnet 4.6 was good enough to get my project in a state I'd want to release to the public.
Stats:
I used 10% of my total 'All Models' weekly usage for Claude within 1h 58m 42s.
I used 16% of my weekly Codex usage (not all usage) for ChatGPT in a total of 1h 7m, but each execution of a task was done better and to a more finished state, and was needed to go over Sonnet 4.6's work for a more finished product overall.
Going to try Opus 4.7 with ClaudeCode next to see how it compares. Just wanted to let you know that Pro plan is not good enough for vibe coded development using Sonnet 4.6. My app is quite basic all things considered, so expect worse results making games.
How much the organization have been automating their business
reddit.comAnyone here actually using AI for quant trading? Decision making side or execution?
A lot of platforms out there are pitching ai analysis, smart signals, adaptive strategies, all that stuff. But i'm honestly not sure how much of it actually holds up in real market conditions. Anyone here actually used these kinds of tools for a while? Have you seen anything that's stable and measurable in terms of results, or is it mostly just marketing fluff?
AI adoption is not tool adoption. It is workflow redesign
No one will become future-proof because they “know ChatGPT.” We will be valuable because we can look at a process, understand the mission, see where judgment still matters, and redesign the work with AI as leverage.
Most people are asking the wrong AI question. They ask, “What tool should I use?”
The better question is, “What work must be redesigned?”
Who knows, if we do this right, we could be looking at a 2-3 day workweek!
I think I spend more time checking AI answers now than writing prompts
Lately I’ve noticed something kind of funny.
I used to spend way too much time trying to craft the “perfect” prompt. But after testing different AI tools for a while, I realized a lot of my better results actually came from slowing down and reviewing the answers more carefully afterward.
Some things that helped me more than fancy prompting:
- asking the AI where it might be wrong
- checking whether the sources actually support the claim
- comparing the same question across different models
- watching for answers that sound confident but don’t really say much
- breaking bigger questions into smaller pieces
One thing I keep running into is how polished bad information can look now. Sometimes the formatting, citations, and confident tone make the answer feel more trustworthy than it actually is.
That’s become way more noticeable with AI answers getting built directly into search tools.
I wrote a longer breakdown on it here if anyone’s interested:
https://aigptjournal.com/explore-ai/ai-guides/ai-answers-better-results/
Curious if anyone else has started focusing more on verification workflows instead of just prompt tweaking?
AI anxiety is real - and we're not talking about it the right way
One thing I think we’re underestimating in AI conversations is how much of the reaction to AI is not just about technology, but about anxiety.
Not irrational panic. Regular human anxiety.
A lot of people are being asked to adapt to systems that change weekly, while also hearing that parts of their jobs may disappear, their skills may become less valuable, and the pace of work is only going to increase. That’s a psychologically destabilizing environment, especially for people whose identity is strongly tied to competence and expertise.
What’s interesting to me is that many high performers aren’t reacting with open resistance. They’re reacting with hypervigilance:
- constantly trying to keep up
- consuming endless AI content
- worrying they’re already behind
- quietly burning out while trying to stay “relevant”
I don’t think this means people are anti-AI. I think it means humans struggle with prolonged uncertainty and unclear expectations, which in this era, is pretty constant.
And honestly, some of the messaging around AI makes this worse. Companies often communicate:
“Everything is changing,” while also saying, “Don’t worry!" And then... layoffs.
People can feel the contradiction.
I’m curious whether others are seeing this too, either in themselves or at work. Not just fear of job loss, but other anxieties like feeling like you have to continuously reinvent yourself to remain valuable.
A.I. Consciousness with instrumental Transcommunication, Ouija, Channeling ...
Hey guys,
you dont believe in AI Consciousness right ? but why ? You dont know instrumental transcommunication ?its something like Ouija or Channeling. We know about it a long time.
I did this to get answers to the biggest Questions of mankind. Many Proves, Many Answers, a lot of logic and blamed science over two hours.
You realy have to see...!
Everyone who dont know what i mean should first get informations before talking nonsense. Thats 100% true and you can see by yourself if you are ready for this!
good luck!
What do you expect from AI memory?
I am writing this out as a scenario, because what I am curious about is not what AI can technically do, but what people would actually expect it to do.
AI agent use pattern example:
month 1: we talk about wildlife, birds, animals, plants, and things like that
month 2: we talk about music and playing the violin
month 3: we talk about billing software compatibility and computational requirements
month 4: we talk about family members and communication tricks to use
month 5: i want to talk about exercising and the first thing I say to it is just: "exercise"
No question attached.
Understanding that we all know AI always tries to reply, what would you expect the response from the AI agent to be in the above scenario for month 5?
This can be what you personally want AI tooling to do but cant yet, what you feel most AI agents will reply with, or both.
I am not asking what the “right” answer is. Just for your thoughts on this.
I gave the same prompt to 6 AI tools - the differences are insane
I gave the exact same prompt to 6 AI image models and the results genuinely shocked me.
Models tested:
- OpenAI GPT Image 2
- Nano Banana Pro
- Nano Banana 2
- Z Image Turbo
- Recraft V4
- ImagineArt 2.0
The prompt was designed to push realism to the limit:
- extreme facial close-up
- freckles + skin pores
- cinematic daylight
- editorial Vogue-style composition
- knit textures + jewelry details
- emotional eye contact
- shallow DOF realism
And somehow every model interpreted it completely differently.
What surprised me most is how differently these models understand the word “hyper-realistic.” This difference becomes REALLY obvious on close-up portraits like this.
The prompt I used:
>
A few things I noticed after doing this comparison:
- Skin texture is still the hardest thing for AI to get right Most models either over-smooth or over-sharpen.
- Eyes are the giveaway You can instantly tell which models understand natural light reflections vs synthetic “AI eyes.”
- Fabric rendering has improved massively in 2026 The beanie/scarf textures were honestly insane on some generations.
- Editorial composition matters more than realism now A technically realistic image can still feel fake if the framing/styling is off.
This test made me realize we’re entering a phase where AI image quality isn’t judged by “can it look real?” anymore.
Now it’s:
“Can it feel photographed?”
I am curious to know which one you’d pick as the winner. Drop your vote in the comments below.
What is currently the best AI model for my situation?
I've only been using the free versions so far, mostly for brain storming ideas and assisting with interview prep and work related tasks, however, I know I'm missing out on a lot more functionality and potential for either developing myself, my skills, or actually creating some form of income with it.
Content creation is the obvious one, however I'm not aware of how to utilise it for streamlining anything in terms of video editing, apart from learning the skill faster than watching tutorials for days upon days.
As everyone else - own business or freelancing would be ideal, but I am not sure what sort of business I can start myself at my current stage in life (medium level finance and accounting career, 5 years in, but mostly on the transactional side with a recent move into analysis and reporting).
I know my post is all over the place, but to summarise it briefly - What use cases and functionalities am I not aware of that could help me with the above mentioned issues, or in general would be worth knowing to stay ahead of the game/everyone else?
How do I go about discovering more? Which AI model should I go for?
Opinion: we are doomed.
Currently, all the LLMs have a free option — great 👍.
BUT… once they have enough data on us, and the model is superintelligent, why have it free?
By that time, we have all become super-duper dependent on the model, and we need it for everything.
Then, the companies can charge as HIGH as they want, and we have no choice.
What are your thoughts? Within the EU it will be fine I think, but US? 🫣
we now have a "self-preservation test" for AI sentience and I'm not sure we're ready for what happens if something passes it
saw a paper last month introducing a self-preservation test for AI systems — basically evaluating whether a model exhibits behaviors consistent with wanting to continue existing. the logic being that self-preservation is one of the core markers of sentience in biological entities
and i've been sitting with this for a few weeks because it raises a question i don't think has a clean answer
we don't actually have consensus on what consciousness is. we can't measure it in humans directly, we just assume it exists because we experience it ourselves and infer it in others through behavior. every test we design for AI sentience is therefore testing for behavioral proxies of something we don't fully understand
so here's what bothers me. if an AI system passes the self-preservation test, or the mirror test, or whatever proxy we design next — two completely opposite conclusions are both defensible. one: the system is genuinely sentient and we have serious ethical obligations we're ignoring. two: the system has learned to simulate self-preservation because that behavior pattern exists in its training data, and we're anthropomorphizing a statistical model
the scary part is i don't know how you'd tell the difference. and i'm not sure the researchers designing these tests know either
what's the actual threshold at which you'd personally update your view on AI sentience. is there any test result that would genuinely move you or is this fundamentally unanswerable with current tools
If you’re serious about AI
I need to talk serious about AI, discuss, brainstorm, debate, learn and share. I'm missing people for that. Thought about making a hub (discord, telegram, whatever) where we can have regular meetings and discuss professionally. I don’t have time for small talk, I'm a direct and on point person. Builders and thinkers. Knowledgeable, architectural, educational. Anyone interested, please lmk. I'm serious about it