The major poker sites claim that they have really good (and very top secret) bot detection. I'm skeptical.
This decline was underway a full decade before bots really came on the scene.
Due to advancement of theory and study and popularity over the last ~20 years though, it's definitely much harder to be successful than it used to be.
Anyone who thinks machine learning can’t conquer poker is fooling themselves. I used to have bots collect every hand played on major poker sites in the early aughts so I’m sure there’s infinite training data.
And if it can be done we know there’s sufficient financial incentive. So I (former long time professional poker player) feel reasonably confident online poker must be unwinnable by now.
GTO trees are far too complex to fully memorize, so nobody can play perfect GTO. But you can do a lot of solver work to get reasonably close.
- limp-shoving under the gun
- always trying to go on runs
- over playing suited connectors (JTs specifically)
But, you still get the advantage of being able to recognize it. There's lots of good wisdom in there that isn't as prescriptive either. Read as many books as you can. Poker is information warfare.
Are today's online tables simply impossible to win? (bots, collusion)
Or are players simply too evenly matched and the house rake/fees kills you anyway?
“ What it all means for the future
It's not really my thing to give too much thought about macro-trends that are out of my control or worry about what negative consequences they might have on my life.
The short answer, I really don't know what this means for the future of the career of programming, the business of software, or anything else. Instead of worrying about that I'm going to try to focus on the here and now, the upside potential, and the unique set of advantages that I have available to me to build something valuable, have fun, and maybe profit.
I'm going to do what I enjoy doing, try to learn some new skills and create things.”
Just be aware that under the hood Lovable is strictly react (or at least it was the last time I checked it) so that might be a important variable to consider since I saw that you were using Laravel.
If it works like it did with ASR (Advanced Speech Recognition) back in the day, then doesn't the app now have all of your decision bias? Restated, isn't the app a reflection of how you play poker, not how an AI would play if it were truly artificially intelligent?
calls a 3bet from small blind with A7o - very bad openjams with bottom pair on a flush flop into 2 players...wtf is this?!
but op uses AI....lol
PokerStars Hand #257890817589: Hold'em No Limit ($0.01/$0.02 USD) - 2025/10/08 22:04:41 ET Table 'Acrux' 6-max Seat #4 is the button Seat 1: MillyPoo42 ($2.61 in chips) Seat 2: Pershgn ($10.14 in chips) Seat 3: Sikcat95 ($3 in chips) Seat 4: gcee3 ($5.79 in chips) Seat 5: prljaminone ($0.82 in chips) Seat 6: reillychase ($2 in chips) prljaminone: posts small blind $0.01 reillychase is disconnected reillychase is connected reillychase: posts big blind $0.02 ** HOLE CARDS ** Dealt to reillychase [As 7c] MillyPoo42 is disconnected MillyPoo42 is connected MillyPoo42: raises $0.04 to $0.06 Pershgn: raises $0.04 to $0.10 Sikcat95: folds gcee3: folds prljaminone: folds reillychase: calls $0.08 MillyPoo42: calls $0.04 ** FLOP ** [8d 7d Qd] reillychase: bets $1.90 and is all-in MillyPoo42: calls $1.90 Pershgn: calls $1.90 ** TURN ** [8d 7d Qd] [8h] MillyPoo42: checks Pershgn: checks ** RIVER ** [8d 7d Qd 8h] [6d] MillyPoo42: bets $0.61 and is all-in Pershgn: calls $0.61 ** SHOW DOWN ** MillyPoo42: shows [5h Ad] (a flush, Ace high) Pershgn: shows [Kh Kc] (two pair, Kings and Eights) MillyPoo42 collected $1.15 from side pot reillychase: shows [As 7c] (two pair, Eights and Sevens) MillyPoo42 collected $5.68 from main pot ** SUMMARY ** Total pot $7.23 Main pot $5.68. Side pot $1.15. | Rake $0.40 Board [8d 7d Qd 8h 6d] Seat 1: MillyPoo42 showed [5h Ad] and won ($6.83) with a flush, Ace high Seat 2: Pershgn showed [Kh Kc] and lost with two pair, Kings and Eights Seat 3: Sikcat95 folded before Flop (didn't bet) Seat 4: gcee3 (button) folded before Flop (didn't bet) Seat 5: prljaminone (small blind) folded before Flop Seat 6: reillychase (big blind) showed [As 7c] and lost with two pair, Eights and Sevens
On top of that, LLM output is so mediocre that even marketing firms are doing most “copy(s)” by hand.
these random posts are so tiring: “i used ai to make something college freshmen were building in their dorm rooms 20 years ago”
at the very least, there's people who enjoy the experience of hand-crafting software - typing, being "in the zone", thinking slowly through the details.
then there are others, like me, who enjoy thinking abstractly about the pieces and how they fit together. might as well be doing algebraic topology. nothing bores me more than having to type precise but arbitrary syntax for 5 hrs (assuming you've decided to use the brain capacity to memorize it), and having to fight compiler/small logic errors throughout. I like the thinking, not the doing.
yes, we havent needed AI to build this for decades. we did however need to waste a hell of a lot of time doing essentially physical, mechanical work with your fingers.
It was based on a world of warcraft bot that I modified, and I learned a lot during the process.
What you call wasted mechanical work I call the foundations of a career that changed my life.
Take away the AI and this guy has nothing but an idea. An old idea that has already been done to death, and none of the skills required to actually implement it and maintain it.
You might not like writing code, but that is the job no matter how many natural language layers you put on top of it.
To quote the author:
"The insane part is I didn't write a single line of this code. All of this was created through conversations with the Cursor AI agent. I don't even know how we got here with AI."
This is about as interesting as your average TODO MVC tutorial.
