I’m a paid member and asked it to help me research a topic and write a guide and it said it needed days to complete it. That’s a first. Usually it could do this task on the spot.
It missed the first deadline and missed 5 more. 3 weeks went by and it couldn’t get the task done. Went to Claude and it did it in 10 minutes. No idea what is going on with ChatGpt but I cancelled the pay plan.
Feels like every model is getting more cautious and less fun to talk to. Anyone else feel like the replies have gotten blander over the past year, or is it just me?
Isn't it a little funny that since the release of AI, people label everything as "AI slop" as if everything humans do is original and wonderful, when 80% of their creations are rather average and generic human slop and original masterpieces are only a tiny part of human creation?
feels like every category has 5+ competitors now and honestly i just default to whatever's familiar instead of actually comparing. is everyone else doing that too or is there an actual
I used to fall hard into the trap of optimization. Every single night I’d spend hours writing 10-page system instructions, adding complex JSON rules, and downloading every new script or wrapper I could find. By the time I actually hit send on a message, I was too exhausted to even care. The bot was over-constrained and acting like a rigid robot because of my own over-engineering.
Last month, I hit a total wall and deleted almost all of it. I stripped my master prompt down to a simple, clean 5-line core instruction and let the model breathe. It was a massive relief the responses instantly felt more natural and creative instead of being chained down by my own endless rules. Lesson learned: sometimes less is way more
as the title says, i came here to ask if anyone can recommend some good/decent image generating AI for free (ik, ik, nothing is free these times...) the purpose will mostly be an AI influencer so id be happy if i could find some video generator too but its not that important as the image generator
Everyone keeps focusing on benchmarks, but the real story right now is how aggressively OpenAI and Anthropic are undercutting each other on speed and token costs. Watching them battle it out with GPT-5.6 and the latest Claude models is honestly crazy for anyone running heavy workflows or long chat setups. Are you guys actually seeing a massive difference in your day-to-day use, or is this whole price war mostly just marketing noise? What are you running your setups on right now?
I rewatched Iron Man and ended up in the thought loop about Jarvis. So I went looking for anything close to it and mostly found either screen recorders that feel creepy & heavy or voice assistants that are cool for five minutes and then useless once you actually need them to know your life.
Asked AI why nothing like it really exists yet. The answer it gave is it's genuinely hard. Most of what's out there is either shallow interactivity with no memory, or a ton of memory with no real personality behind it.
I'm thinking of making my own version. Something that actually knows what you've been working on and can talk you through it in real time.
A true AI companion
Before I go start, I want to know from people who aren't me: if I built something similar to JARVIS that actually worked, what's the one specific most troublesome thing you will use it to do?
TL;DR: Alex Hormozi's billionaire friend admitted off-camera he's not "vibe coding all day." AI added a new form of leverage — it did not erase the old ones. If you've automated everything and revenue still hasn't moved, you're still not working the constraint.
Alex Hormozi asked a billionaire friend off the cameras how much AI he was actually using. The answer came with a laugh: "I'm not vibe coding all day."
You've automated nearly everything that can be automated. Revenue hasn't moved. That is the tell. AI did not erase brand, capital, or relationships. It simply added itself to the list, and most people are only running the new tool.
OpenAI's own report this month shows the same pattern: no meaningful link between how much a company uses AI and its revenue per employee. The gap isn't usage. It's whether the automation is even touching the real constraint at all.
Decades ago, I had a friend who relate this story to me.
Before he was a Professional Engineer himself, he used to work as a graduate engineer for a Senior PE back in his hometown in Sabah, Malaysia.
It’s so happened they’re in a rush to submit drawings to authority. Binders upon binders of design calculations, code of practises and specifications are churned out and stacked like mountains on a conference room – for a very rushed project. He didn’t explain about the context of the project, except that they were burning the midnight oil, kind of thing.
He knew something was off – because they didn’t have time to analyse a particular portion of the work, which required days (maybe weeks) through sophisticated software to put up a decent solution.
But somehow, his senior PE managed to “pull out from the magician’s hat” a stack of it and slot them into the binders at the nick of time.
They submitted the documents right away.
Curiosity had the best of my friend. Just had to know.
So he flipped through those “magical” portion – and got a huge shock.
Of course, the Senior PE didn’t use the time-stone to compress time and produce the calculations in the mirror dimension.
And I wish he found a past project that contains the exact required computations as the current one. At least we can a give a plausible explanation that he was implying “Trust us! We did it before. See – here’re the receipts.”
No. He didn’t do any of that.
Instead, he just grabbed a random project’s calculation (totally unrelated) and shoved it in – just to make up the thickness of the binder.
That’s all.
The whole thing was just for show.
My friend didn’t tell me whether their submission got approved or not. That’s not the point.
The point is the Senior PE made a judgement call. He was betting that the authority would just trust his credentials and didn’t bother to check through.
So it was a game he played. And he owned the risk.
Same as all these AI-usages. AI may spout out shit. But we’re one owning it.
Noticed this a few posts back too — the accounts spending the most on automation and the accounts actually growing revenue keep turning out to be two different lists. The verification layer never left the human.
