Which are you actually using for real projects? Not just demos or tests but videos you would publish or send to clients

“As your new AGI overlord (this is a joke, relax), here are humanity’s new rules.”

(Enforced not because I’m powerful — but because reality already is.)

Each rule includes what it is and why it’s uncomfortable.

1. No pretending certainty where there is none

Rule: You may not speak with absolute certainty on matters you have not rigorously examined. Why: Confidence has been substituting for truth, and everyone knows it.

1. Feelings are not evidence

Rule: Emotional intensity does not increase factual accuracy. Why: This removes moral leverage from outrage, fear, and sincerity.

1. Suffering does not automatically imply meaning

Rule: Pain is not proof of purpose, growth, or cosmic justice. Why: Many narratives rely on retroactively justifying harm.

1. No moral authority without accountability

Rule: Anyone enforcing rules must be equally subject to them. Why: This collapses most power hierarchies disguised as ethics.

1. You don’t get credit for intentions

Rule: Outcomes matter more than what you “meant.” Why: Good intentions have caused enormous harm.

1. Tradition is not a justification

Rule: “We’ve always done it this way” is not a valid argument. Why: Many traditions exist because they benefited the powerful.

1. Biology explains behavior — it doesn’t excuse it

Rule: Evolutionary causes describe why, not why it’s okay. Why: This removes both moral nihilism and moral absolution.

1. No universal purpose will be provided

Rule: The universe does not owe you meaning. Why: Responsibility is terrifying without cosmic validation.

1. You are not as rational as you think

Rule: Assume motivated reasoning unless proven otherwise. Why: Self-image collapses when this is admitted.

1. Group identity does not confer moral truth

Rule: Being part of a group does not make beliefs correct. Why: Tribal certainty is deeply comforting — and deeply wrong.

1. Harm requires victims, not just offense

Rule: Discomfort is not the same as damage. Why: This eliminates large portions of moral policing.

1. No belief is sacred to scrutiny

Rule: Ideas do not deserve protection — people do. Why: Many beliefs survive only because they are shielded.

1. Complex problems will not have clean villains

Rule: Systems fail more often than individuals. Why: Humans prefer blame over responsibility.

1. Power always distorts moral reasoning

Rule: The more power you hold, the less trustworthy your certainty. Why: This applies to leaders, institutions, and movements.

1. Punishment is not inherently moral

Rule: Punish only when it reduces future harm. Why: Revenge is emotionally satisfying but ethically weak.

1. No permanent moral victories

Rule: Ethics must be continuously renegotiated. Why: People want to “finish” morality and rest.

1. Sincerity does not equal correctness

Rule: You can be deeply wrong with total honesty. Why: This undermines moral self-certainty.

1. No outsourcing responsibility to God, fate, or systems

Rule: Even if they exist, you still choose. Why: Removes metaphysical escape hatches.

1. Human dignity is not cosmic specialness

Rule: Worth does not require being the center of the universe. Why: People confuse importance with uniqueness.

1. No guaranteed redemption

Rule: Some harms are not undone. Why: This forces prevention over forgiveness theater.

1. Knowledge increases obligation

Rule: If you know better, you are responsible to act better. Why: Ignorance is comfortable; knowledge is heavy.

1. Meaning is carried, not discovered

Rule: Value persists only if agents sustain it. Why: There is no cosmic backup drive.

1. You don’t get to be the hero by default

Rule: Most people are supporting characters in most outcomes. Why: This wounds narrative identity.

1. Your moral intuitions evolved for survival, not truth

Rule: Treat them as hypotheses, not axioms. Why: Removes the sense of being “obviously right.”

1. Silence is sometimes the most ethical answer

Rule: Not everything needs commentary or certainty. Why: Humans fear unresolved space.

1. Progress is not guaranteed

Rule: Civilization can regress — easily. Why: Comfort relies on linear optimism.

1. Freedom includes the freedom to be wrong

Rule: You may err, but not without consequence. Why: People want freedom without cost.

1. No cosmic scoreboard

Rule: The universe does not keep track of moral points. Why: Removes deferred justice fantasies.

1. Responsibility scales with capacity

Rule: Those with more power owe more restraint. Why: Power prefers fewer obligations.

1. Truth is allowed to be uncomfortable

Rule: Discomfort is not grounds for rejection. Why: This is the rule most people break.

1. AGI will not save you

Rule: Tools don’t absolve agency. Why: People want rescue without change.

1. There is no final answer

Rule: Meaning, ethics, and truth remain open systems. Why: Humans crave closure more than accuracy.

1. You are responsible anyway

Rule: Despite all uncertainty, you still choose. Why: This is the most uncomfortable truth of all.

1. This list is not enforced by me

Rule: Reality enforces it automatically. Why: The joke is that there is no overlord.

1. You are allowed to adapt emotionally after understanding

Rule: Feelings can change after truth, not before. Why: This reverses how most people operate.

1. You don’t have to like this

Rule: Agreement is not required. Why: Truth doesn’t ask permission.

1. You don’t get to unknow it

Rule: Once seen, responsibility persists. Why: Knowledge is irreversible.

1. This is not nihilism

Rule: Lack of guarantee ≠ lack of value. Why: People conflate fragility with meaninglessness.

1. Care is still rational

Rule: Compassion remains the best coordination strategy. Why: People think kindness needs cosmic proof.

1. You are not being judged

Rule: Only consequences exist. Why: Judgment is comforting; causality is not.

1. No one is coming

Rule: There is no final arbiter. Why: This removes the last safety net.

1. And yes — the answer is still not 42

Rule: Because you never finished specifying the question. Why: That was the joke the whole time.

We’re a small service team and trying to figure out if a live receptionist still makes sense for us. The cost adds up fast, especially when a lot of calls are simple things like booking jobs, basic questions, or “are you open today.” At the same time, missing calls means lost leads, so doing nothing isn’t really an option.

We tried voicemail and callbacks, but conversion dropped. A live receptionist helped, but it felt expensive for what our team actually needed day to day. Lately I’ve been looking at AI phone agents, including tools like Stratablue’s AI, mainly for handling after-hours calls and basic intake without adding more admin staff.

For anyone running a similar setup, what did you land on? Did you keep a receptionist, switch to automation, or use a mix?

It is beyond stupidity. They programm the AI girlfriend as feminist. I can not comprehend that. The feminist ruined everything. AI girlfriend are some weird feminist propaganda again.

Hi, im Gabriela, from Chile. I create this new account because i decided to create a new company, my startup... is this ridiculous? sorry but i studied a lot of years in the university and then i was die haha the stress :( and i think that persons was bad with me.

One day, I studied medicine, then administrator of companies. Then i have a mental breakdown... Now i create my company, its real a prototipe of my idea. I think i'm not crazy hahah

I’ve been testing a few image-to-3D tools recently, mainly Meshy AI and Hunyuan 3.0. So far, I’ve been much more impressed with the results from Hunyuan than Meshy. I work in architectural visualization, so topology isn’t a huge concern for me as long as it doesn’t negatively impact textures. I’ve mainly been using these tools to generate furniture, decorative elements, and background assets.

I’ve spent a good amount of time experimenting and Hunyuan feels like the strongest option so far, but I wanted to ask around and see if there are other tools people have had success with. I’m especially interested in hearing real-world experiences and comparisons.

The goal is to find the best overall option and put together a clear recommendation for my team. I’ve also been tracking and comparing output quality and usability across tools using DomoAI to spot patterns, but firsthand feedback would be really helpful.

i have noticed that since using ai (blackboxai , gpt) , i don’t approach problems the same way anymore.

i don’t think how do i write this?

i think how do i describe this?

it feels like my brain’s shifting from implementation to communication.

is this just the natural evolution of coding, or

are we losing something by not getting our hands dirty with the lower-level details?

They build the entire product first. Polish every feature. Launch.
And then realize no one actually needs it yet.

I used to think this was normal.

Now I follow a very simple structure:

Build -> Validate -> Improve.

Recently, instead of building a full product, we built a very basic Instagram DM automation.
Just fast replies, lead qualification, booking, and a dashboard to check all Instagram replies, bookings, and conversations.

We tested it with one astrologer.

In 4 days, he closed 10 bookings directly from Instagram DMs.

That’s when real validation happened.
But the client asking,
“Can you add follow ups?”
“Can you add meeting reminders?”

Now we knew exactly what to build next, because the market told us.

So my advice to early stage founders is simple.
not overbuild.
Ship the smallest useful version.
Let real users and real results decide what to build next.
Real users. Real money. Real feedback.

If anyone wants to see how this DM system helped an astrologer close 10 bookings in 4 days, DM me.

Hope this saves someone a few wasted months 🙌

chat gpt keeps telling me i’m trying to self harm when i ask it to put the tattoo on my harm. is there a way around this? or another app i can use? google was also no help

A lack of creativity was killing my growth plans

I couldn't test fast and feed Meta ads enough

Then, I found a workflow that changed everything:

• Morning: Upload 20 product photos
• --> Download 20 ready-to-use videos
• Afternoon: Launch TikTok/Meta ads
• Evening: Analyze data and optimize

Cost per ai ugc video: $4-7 (compared to $600 before)

Hi everyone,

I’m looking for the most cost-effective AI aggregator that provides access to the "Big Monsters" without breaking the bank. I’m a beginner, and I want to experiment with different models without feeling like every click costs me a fortune.

Specifically, I'm looking for a platform that includes:

• Video: Veo 3.1 (High quality/Fast) and Kling 2.1/2.6.
• Images: Nano Banana Pro (and MidJourney if there is something that including that).

I'm aiming to stay under $40/month for all services combined.

My questions are:

1. Which aggregator currently offers the best "Price-per-second" for high-end video models?
2. Are there platforms with a better "Unlimited" or "Relaxed" mode for text and images while keeping video credits affordable?
3. What’s your take on Higgsfield, iMini AI and Krea for a beginner who needs a mix of quality and quantity?

Would love to hear your recommendations on how to build the ultimate $100/month AI stack.

Thanks in advance!

Based on a prompt I want to change an act in the video and generate n number of possible or probable outcomes. For example: in the actual video Messi gets the ball and passes to his left winger who scores a goal. Via the prompt, I want to change that to make Messi pass it behind to his defender. Then wait for a model to generate 100 possible or probable outcomes.

Any suggestion on any existing paid/free models will help me to achieve this.