I have to imagine bots have made online poker unwinnable by now, right?
Yes, but it's worse than you'd think, from what I understand. The bots will try to get more than one seat at a table and share information, so that it's even MORE unfair.
Cash games in person are pretty bad too. Casinos need to make money and they only get it off rake, so they have lately turned a blind eye to collusion. The only safe poker (except among friends) is tournaments, in person, so they randomize the tables properly.
Collusion in live poker games in casinos is not a widespread problem. There is a problem with poker where people always think they are being cheated every time they lose. If you are playing in a casino in person it is very unlikely you are being cheated. If you are playing in a regulated website online that verifies the identities of the customers it is also unlikely you are being cheated.<p>The vast majority of people that play poker absolutely suck and think they are being cheated because they lose money very quickly. Most bad poker players would literally be better off playing blackjack.
Bingo.<p>Played thousands of hours in casinos. Saw some asshole show down cards to someone still in the hand, stuff like that, but never anything I thought was collusion.<p>Plenty of other angles, though.
A regulated online casino that verifies identity wouldn’t stop a bot. You’d just sign up under your name and use it. If your bot isn’t colluding it would just look to the casino like you’re good at poker.
The best bots are from cheating rings where the bots are colluding, not from bots that play poker perfectly (which don't exist in any real sense for full ring poker).
Not alone, but presumably the online casino also has some sort of anti-botting measures, and if your bot gets banned you can't re-use your identity.
Show me your no limit holdem bot for a 9 player table.<p>Do you think I can't exploit that after buying the history of millions of hands it played on some shady website.
I used to play poker back in the 2000s. The online game was getting harder then and I can only imagine it's gotten worse? Also GTO solvers are a thing now? I don't know what stakes you are referring to but I feel like the overall quality of poker play has never been higher.
What's true is that people aren't making as obvious mistakes, especially preflop, so you can't make hundreds of thousands just by knowing that Ace King is a good hand that you can go all in with. Anyone can find preflop poker charts and fix part of their preflop game.<p>Having a poker solver isn't enough. Let's say you play tournament poker, just having a basic understanding of concepts like ICM give you a massive edge. Let's say you take it a step further and understand concepts like "future game" and actually study them using tools, you're edge has expanded further.<p>There are a bunch of charts out there that tell you what hands to go all in with if you have 15bbs or fewer. None of those charts take into account ICM. Also how do you adjust the charts if your opponents are calling with too many hands? How do you adjust them if they call with too few hands?<p>Let's say we are just talking about cash game poker, it's not enough to have a solver, you need to understand how to actually study with the solver. People try to use them like a cheat sheet that tells you what to do, not understanding that a slight change to the inputs of the solver can drastically change the output. The purpose of a solver is to understand how different ranges interact at different stack depths on different boards.<p>ie: Playing 100bbs deep, on a KK3 flop with a flush draw, what hands should i check or bet as the preflop raiser? What happens if that 3 is a 7? What if it's a J? What if it's 33K instead of KK3? What if I'm 200bbs deep instead of 100? What if the opponent calls too much? What if they call too little?
After a few hands, if you don't know who at the table is the sucker, then it's time to leave.
Collusion in live poker, especially at low to mid-stakes, is almost non-existent.
Live at the Aria high stakes table!<p>Today, we've got 6 Las Vegas locals, and 1 rich Chinese tourist.<p>The LV locals are making small-talk, "hey bro you go to the gym today? Nah my back is super-sore from my last work out. bla bla bla"<p>All 6 locals have butt-plugs plugged in. Two clenches means, 'I got this'. The tourist doesn't stand a chance.
Thats not even remotely true.
Surprisingly, no. Most sites do a good job of finding and banning bots.
It's also fairly easy to spot a bot. They will make odd sized bets at times. You check to see if that betting line is taken in a solver.
Sites have very a strong incentive to make you believe this. Otherwise no human would join anymore.
I'm beating online poker. The difficulty of beating online poker is very much dependent on the site and the rake.
That’s not true, people willingly put money into games that they know are heavily slanted against them all the time.<p>Even some people who are victims of scams admit that at the time they sent some/all of money they knew it was a scam but did it anyway.
And then there’s all the bots you aren’t spotting.
I'm sure there is some, but it's standard practice to keep at database of all your hands.
I've sanity checked the winning regs (at my stakes) and they all make mistakes.
I think it helps that in the US all the sites are geography based. It makes it harder and less financially viable to run a bot ring.
Then you have to worry about the site itself being shady. Live poker is really the only path. Plus it's so much more fun.
You can still "win" by taking money from the other human players and minimizing EV loss against bots.<p>The major poker sites claim that they have really good (and very top secret) bot detection. I'm skeptical.
I used to work for an online poker outfit. The boss wanted weak bots populating the tables so that we looked popular. Of course, he had a “crack team” of bot writers for playing on “other sites” to make money, too.
The poker world would love to hear your story. It would be the biggest news in some time.
Wow, is that really not some type of fraud? Fascinating.
Why wouldn’t you put the bots together at the same table if you could detect them?
Because when, not if, but when, you have a false positive and put a player in a room full of bots you suddenly have a massive lawsuit on your hands
I'm curious if it's possible to make a profitable GPT Poker bot, I have seen a few GitHub repos but not experimented with it. Obviously legal/ethical concerns there aside. In my experience you see a lot of the same names when playing and they could be bots. But you can interact with people in the game by chat or "throwing" objects at them in the game like a horseshoe or cards. And when they react back maybe that's a sign they're not bots. Regardless you want to avoid playing with the good people and seek out the bad players aka fish so you can play against them instead. Table selection is key.
Given how awful LLM are at chess, I'd say GPT sucks at poker. Making a profitable bot using state of the art poker software, like stockfish for chess? That's already done.
Bots mostly don't play fair. One strategy I've seen is having multiple bots play passively to minimize losses, unless at least 2 get placed in a single game. In that case the bots can share information bully the rest of the table by playing aggressively.
Online poker is very much beatable. Poker isn't solved in the same way chess is. It also depends on the site and the rake. Some unregulated sites don't do KYC so collusion is possible.
I've heard (second-hand) that bots were instrumental in the decline of online poker popularity.
The decline of poker started when I woke up on Black Friday to FT, PS, and UB all having the DOJ logo on them.
I had to open a Canadian bank account to get my money out!
Yup, this was a much bigger deal than bots.
The problem is specifically with unregulated sites that don't verify the identities of players. The bots aren't so much the problem as the fact that they can collude and share hole cards. But fyi, bots aren't actually good at playing poker outside of specific scenarios vs bad players or in scenarios where the decision tree is not large (ie short stack tournaments where the decisions are pre computed, you can imagine how massive your edge can be when you have a pair of 9s and you know there are already 3 dead aces and your decision is only all in or fold)
The biggest by far was american laws and regulations. the us uiega law in 2006 and “black friday” ie the doj raiding full tilt and pokerstars in 2011.<p>This decline was underway a full decade before bots really came on the scene.
I heard it was poker-sites banning the (human) sharks
Not really. Maybe in very specific applications of limit (fixed bet size) hold'em, but no limit texas hold'em, the most popular variant online, is very much unsolved, especially in multi-way pots. There are simply too many variables and strategies involved to calculate quickly enough on the fly. For games like omaha, which uses 4 hole cards, this is even harder.<p>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.
I don’t believe it. There are just as many variables involved in writing a short story.<p>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.<p>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.
You can feel all you want - there is no evidence this is happening.It would be massive news in the professional community. You’d need a comprehensive GTO strategy which doesn’t really exist, especially in multiway pots. Best we have right now are GTO (game theory optimal) solvers which need tons of assumptions plugged into them and require enormous amounts of memory and time to spit out results, and we still don’t really understand a lot about the underlying theory.<p>It doesn’t matter how many hands you “train” something on. Poker is a game of incomplete information and many assumptions must be made about an opponent’s range, bluff frequency, etc. One small tweak in assumptions and the entire GTO output changes with solvers. It’s very difficult to get these assumptions right. As I said it’s an unsolved game. Even the GTO solvers only work in 1 on 1 pots (assuming the assumptions you’re working with are close).<p>Respectfully, although you claim to be a former online professional (I have played for 20 years, at times professionally) - you don’t seem to understand what you are talking about.
You don't even need training data, a bot that play itself <i>à la</i> AlphaZero will eventually collect more data than there are of actual games.
> I don’t believe it. There are just as many variables involved in writing a short story.<p>Surely you're not implying that writing a good short story is a solved problem for computers?
Heads up no limit holdem bots crush the best players in the world even 200bbs deep. So kind of like the same situation as chess. Not solved but not beatable.
There haven’t been any real online NLHE heads up games online in at least a decade. so it’s kind of a moot point. Not sure which bots or players you are referring to - these games don’t exist online in any meaningful volume.
Can you link to more info?
I dono. You can hit and run pretty damn easily.
Not really. It is more about rake, and US regulations that make it hard for recreationals to play
Depends how good your bot is.
Cool write up. I played online professionally for the year leading up to the big online shutdown. AMA, always love talking poker strategy.
I read doyle's Super System back in the day and used that as the basis for my poker strategy from high school to mid-twenties. In talking to some friends who play competitively, they say SS is just super out dated and you would get eaten alive at any cash game. I'm curious what, in your opinion, is the "standard" playing strategy that is most effective in today's poker rooms? I'm curious if that answer is different online vs in person.
The "standard" strategy is to play GTO (game theory optimal). There are solvers out there (like GTO Wizard) that show you the "optimal" play for every situation, which is used as a baseline, and then players deviate to exploit specific player tendencies.<p>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.
Super System is old, but I wouldn't call it outdated. Definitely still worth a read. The more books you've read, the bigger your tool set. The key here is that it works in both directions because each style you learn, is a style you may recognize other players using. The pitfall of Super System, is by now, everyone's read it, and it's quite easily recognized:<p>- limp-shoving under the gun<p>- always trying to go on runs<p>- over playing suited connectors (JTs specifically)<p>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.
No idea, obviously you can see I'm a n00b and not a profitable poker player but on the strategy side, and this is very oversimplified, but you should be folding a lot of the time other than when you get AA-22, AK, AQ, AJ, AT, KQ, KJ, QJ, JTs, T9s, 87s you call or 3 bet pre-flop because you have good odds. When you're up against tight players you can make a small bluff on the flop and scare them away most of the time, if they raise you fold though. Position is very important in the game, when you're on the button you have odds in your favor because everyone else has to check or bet before you so you play more loose and aggressive in that position and more tight and passive in early position. There is no one single strategy to memorize and apply, that's why it's great. 5 minutes to learn the game, a lifetime to master.
> No idea, obviously you can see I'm a n00b and not a profitable poker player but on the strategy side<p>Sorry, why are you answering a question if your first response is “no idea”? Am I missing something? If you have little information, my feeling is that your response is at best just BS? I know that sounds very rude, I’m sorry for that.
You’re probably right, I am just sharing what I have been studying and from my experience playing but I’m a losing player so it should be taken with that context.
I think the poster you replied to is just a recent poker player wishing to discuss his hobby.
Don't punish honesty. He gave enough information up front for you to easily ignore him if you weren't interested a low-confidence/low-expertise response. Far better that than confident, unhedged BS.
> I played online professionally for the year leading up to the big online shutdown<p>Are today's online tables simply impossible to win? (bots, collusion)<p>Or are players simply too evenly matched and the house rake/fees kills you anyway?
It's become a lot more difficult to win online since online poker was banned in the USA. The USA sat at a huge net loss online and every other country profited.
I don't think so. I don't play nearly as often as I used to, but I still do alright. Though, I usually play tournaments where "game theory optimal" can only get you so far. There is a lot more nuance in a tournament where your style <i>should</i> change as it progresses.
When I left (or, got shut out, so to speak) in 2011 the games were getting a lot tougher, less big fish and more reg on reg with marginal if any edge, where you're essentially just paying the rake (-%rakeback).
Pretty much. Not impossible but the effort reward ratio simply isn’t there.
Played a random game the other day and I love it! What’s the best way to learn and get involved? I just want to play socially, happy to lose a little money each time as the cost of fun.
I like reading BlackRain79 and watching his YouTube videos. Nothing beats experience though. Start playing without money for a long time first to learn the rules of the game. I actually downloaded a Game Boy emulator for iOS and the ROM for GBA World Poker Tour (2005). After playing that for a long time I finally got the basics like muscle memory of knowing what hand beats what and what possible combinations could be out there based on the board cards, stuff like that. Then from there if you live in a legalized state like I do you could start playing the lowest stakes online like .01/.02 NL.
Nice! It's legal here in Michigan and a few other states, where are you from?
Probably a dumb question but when I watch poker on TV I see that the aggressive players tend to win, so why do the losers let themselves get intimidated?
Oversimplifying for sure but if you're loose and aggressive against a tight aggressive player, you're going to make them fold most of the time and win a small amount by applying pressure on bluffs but every once in a while if you get too aggressive and they call you because they have a monster hand then you get wrecked
Aggression generally wins the day but pay attention to the size of the bets and their position. Generally, you want to make a lot of small bets to show action (they can fold for a minimal investment) and leverage table position to make other players make hard decisions.
In poker, like in trading, the key is knowing when you have an edge and being aggressive but also knowing when you have a losing have and cut your losses. It's the balance that makes a good player/trader.
> the key is knowing when you have an edge and being aggressive but also knowing when you have a losing have and cut your losses<p>So basically "You've got to know when to hold 'em, know when to fold 'em, Know when to walk away, know when to run." :)
what do you think about OP's 40% VPIP? It seems to me that in low-stakes online play you'd want to play tighter than that, but I know very little about poker strategy beyond what I've absorbed from seeing people talk about it.
It's a fairly meaningless stat without knowing the number of the players at the table. At a quick glance he seems to be playing 6-max, but sometimes 3-handed. In any case 40% is within the reasonable range for 6-max.
Assuming they are playing 6 max with full tables 40% vpip is egregious and I do not see how they could have a winning strategy playing like that. (Looking at their results they are not winning).
This is true, when I played live poker with full ring I got destroyed, you can be much more loose with 6 or less
I mean, according to the graph he's losing money, so not that great I guess? :)
To be fair, 1k hands is a pretty meaningless sample - I think most pros would say you need at least 50k if not 100k hands for the results to be any reliable signal as to whether or not a player is actually winning or losing in the long run.
Yes this was going to be my reply lol
I did something similar with Risk, in case of interest<p><a href="https://andreasthinks.me/posts/ai-at-play/" rel="nofollow">https://andreasthinks.me/posts/ai-at-play/</a>
I like this approach:<p>“ What it all means for the future<p>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.<p>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.<p>I'm going to do what I enjoy doing, try to learn some new skills and create things.”
If you're looking for a tool that may be a bit better than Cursor for UX, you could potentially look into Lovable. If you know what you want and the proper design terminology, you can potentially make some slick looking UIs.
Have you cross-referenced with the other hand trackers whether the numbers add up? Alternately, could someone explain why wouldn't a LLM hallucinate with numbers in an application like this?
<a href="https://news.ycombinator.com/item?id=20414905">https://news.ycombinator.com/item?id=20414905</a>
> Then I started building my own Python script automations to export my hand history from PokerStars, import it into PokerTracker 4, check my balance, stuff like that.<p>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?
sorry op is a fish. or more a whale.
look at this hand from him (op is "reillychase")<p>calls a 3bet from small blind with A7o - very bad
openjams with bottom pair on a flush flop into 2 players...wtf is this?!<p>but op uses AI....lol<p>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
Yup, sw engineering is a slow march to being commoditized. Some things will remain hard (only because it's cutting edge and pushing the limits of something) but known patterns and services will be just-yell-at-ai to stand up. A lot of businesses can run on the latter, i guess - but at that point the challenge is having a viable business, not the software development of X.
our industry has existed on the cutting edge doing what's hard since its inception. it's just that there was a time when sending a piece of text across a wire was hard. Now that's easy, so we do more with the tools that make that easy. When what's hard today becomes easy we'll do that quickly with the tools that make it easy and then do more hard stuff. We can say we've achieved AGI when the tools are doing better on their own than a tool plus an engineer would do, and I think that's a long way off.
Exactly. This is how it's always been. LLMs make it easy to spit out boilerplate code, which drives the price of boilerplate down to free. But good engineers will add a lot more value to that which raises the bar for everyone. The things you can create with an LLM become boring and worthless (honestly they mostly already were before coding agents came out) and the hirable skills become everything else that engineers need to do.
Good take
I still think that might be oversimplifying what software creation is which is being able to explain to a computer what it is you want. I think of Cursor as Python was to C. It's a higher level language but you still have to be able to think like a hacker, which will always be a rare skill.
And the best hackers at any level abstraction will always be the ones that actually understand what's going on in every lower layer in order to diagnose when the abstraction is failing them. Anyone that thinks you can be up at the level of vibes without understanding how an LLM thinks, without knowing how to review and factor your vibed Python or whatever high-ish level language, can make it performant without knowing if or when to write something in lower levels like C or need to be using a library where all the hard work is in something like C, make it secure without understanding how that gets turned into instructions for an incredibly obedient but ignorant machine (like the LLM is but in the exact opposite ways, buffer overruns and free before use and stuff)... It's a holistic practice. The guys that produce code and don't know which parts are happening in the browser or in the client, think they can trust the values of cookies not to be tampered with and junk are able to be productive, probably more so with LLMs these days but they simply can't make quality software and never will be able to. Corporations love them because nobody's accountable to resiliency (securty, quality, reliability) until something actually breaks and those guys can get thrown under busses easily when and if that happens because they're cheap cogs. Hackers love them because we'll always have work to do to improve (or compete with, or exploit) what folks like that make.
The more software there is, the more maintenance and willingness to build more software will be.<p>On top of that, LLM output is so mediocre that even marketing firms are doing most “copy(s)” by hand.
sw engineering will be at an even higher premium if you've seen the code AI creates. AI will raise the bar to entry for sure though
you havent needed ai to build this for decades.<p>these random posts are so tiring: “i used ai to make something college freshmen were building in their dorm rooms 20 years ago”
after reading so many people argue about this over the last few years (and having had my own experience - I've been writing software professionally for close to 15 years), I've come to believe people are talking past each other because different people enjoy or excel at different aspects of coding.<p>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.<p>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 <i>type</i> 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.<p>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.
took me a week to build a poker bot in 2006 that earned me $1000 a week during college, and that was self imposed because I didn't want to raise any flags.<p>It was based on a world of warcraft bot that I modified, and I learned a lot during the process.<p>What you call wasted mechanical work I call the foundations of a career that changed my life.<p>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.<p>You might not like writing code, but that is the job no matter how many natural language layers you put on top of it.
Just to make a small addition to my comment, which also addresses the sibling and child replies.<p>I 100% agree that any good professional still needs (with or without AI) the "design, engineer, and knowledge of your constraints". I'm not arguing against that. Those are, in fact, part of what I find most fun about programming, and the reason why I fought through the typing boredom since I was 13. I'm also not a vibe coder.<p>I'm just saying all of that is somewhat orthogonal to the typing of code itself. With strong typing (as in type theory - I still write the types, sometimes signatures for interfaces, etc) and other tooling, you really can get a lot done by delegating the bulk of the implementation to these tools.
Correct, but HE does not enjoy it.<p>If someone makes a 3D printer for houses there is probably someone who will say laying bricks "is the real job"<p>It's just someone writing about his vibe coding experience. Not interesting for me, but then again I stopped reading half way and am not telling people to stop.
The 3D printer analogy doesn't hold up though, that implies design, engineer, and knowledge of your constraints.<p>It's more like a pachinko machine that rewards the user with house like objects that may or may not work.<p>If the user builds their house with it and it collapses and kills their family fine, but you can't use a system like that to build anything where you might have external liability because fundamentally you don't understand the problem domain and an ai model cannot hold a civil engineering license and be held liable for structural collapse.
Sorry, I'm pretty sure you didn't read the article. OP didn't build a poker bot, you seem to have just seen the title and assumed.
Yep. AI is and will always be good at making stuff where the main coding knowledge requirement is having read the tutorials.
they used AI because they don't know how to code. That's the point of this article, I think.