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Bourbon Capital
Almost 30 years and this line has only gotten more relevant especially for the stock market https://t.co/aASlnlR9nt
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Almost 30 years and this line has only gotten more relevant especially for the stock market https://t.co/aASlnlR9nt
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Offshore
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God of Prompt
RT @godofprompt: 🚨 Most founders talk about "ethics in AI" at conferences while shipping engagement-maximizing algorithms the next morning.
Dong Nguyen actually deleted $50K/day because people were too addicted. A solo dev in Hanoi had more ethical backbone than entire AI companies.
Now think about this in 2026. We have AI systems designed to be psychologically addictive. Infinite content feeds tuned by reinforcement learning.
AI companions people form emotional dependencies on. Recommendation engines that know your dopamine triggers better than you do.
Flappy Bird was a pixel bird jumping through pipes. Today's AI products are engineering compulsion at a neurological level. And nobody's pulling the plug.
Dong Nguyen lost sleep over a simple game. Meanwhile AI companies watch engagement metrics climb and call it "user love."
The uncomfortable question nobody in AI wants to answer: if your product is generating $50K/day but destroying attention spans, sleep patterns, and mental health... would you kill it?
We already know the answer. They wouldn't even slow it down.
12 years later, Dong Nguyen is still the most ethical person in tech. And that says everything about where we are.
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RT @godofprompt: 🚨 Most founders talk about "ethics in AI" at conferences while shipping engagement-maximizing algorithms the next morning.
Dong Nguyen actually deleted $50K/day because people were too addicted. A solo dev in Hanoi had more ethical backbone than entire AI companies.
Now think about this in 2026. We have AI systems designed to be psychologically addictive. Infinite content feeds tuned by reinforcement learning.
AI companions people form emotional dependencies on. Recommendation engines that know your dopamine triggers better than you do.
Flappy Bird was a pixel bird jumping through pipes. Today's AI products are engineering compulsion at a neurological level. And nobody's pulling the plug.
Dong Nguyen lost sleep over a simple game. Meanwhile AI companies watch engagement metrics climb and call it "user love."
The uncomfortable question nobody in AI wants to answer: if your product is generating $50K/day but destroying attention spans, sleep patterns, and mental health... would you kill it?
We already know the answer. They wouldn't even slow it down.
12 years later, Dong Nguyen is still the most ethical person in tech. And that says everything about where we are.
12 years ago, ‘Flappy Bird’ creator announced he was removing the game from the App Store, due to how addictive it had become. https://t.co/bBiIMxbha8 tweet
Jukan
Commenting on Micron's HBM4:
1. If this is true, then Samsung using 4nm + 1cnm would have been a foolish move.
2. Micron would end up with an overwhelmingly lower cost structure compared to the other two major memory makers.
That said, what I don't understand is this: even SK Hynix achieved 11 Gbps in internal testing but couldn't hit 11 Gbps when paired with NVIDIA GPUs, which led them to redesign. So how did Micron manage to achieve 11 Gbps without any revision? That doesn't quite add up to me.
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Commenting on Micron's HBM4:
1. If this is true, then Samsung using 4nm + 1cnm would have been a foolish move.
2. Micron would end up with an overwhelmingly lower cost structure compared to the other two major memory makers.
That said, what I don't understand is this: even SK Hynix achieved 11 Gbps in internal testing but couldn't hit 11 Gbps when paired with NVIDIA GPUs, which led them to redesign. So how did Micron manage to achieve 11 Gbps without any revision? That doesn't quite add up to me.
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Pristine Capital
RT @realpristinecap: • US Price Cycle Update 📈
• IGV Software Uncertainty is Going Nowhere 🛑
• Midterm Election Years Tend To Be Muted 🤫
Check out tonight’s research note!
https://t.co/Z9A6Z98GTZ
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RT @realpristinecap: • US Price Cycle Update 📈
• IGV Software Uncertainty is Going Nowhere 🛑
• Midterm Election Years Tend To Be Muted 🤫
Check out tonight’s research note!
https://t.co/Z9A6Z98GTZ
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Offshore
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God of Prompt
RT @alex_prompter: ai will never feel the same way i feel about customer reviews https://t.co/aQnGtXjEDG
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RT @alex_prompter: ai will never feel the same way i feel about customer reviews https://t.co/aQnGtXjEDG
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Jukan
Taiwan media: Rumors emerge that Micron may acquire Innolux’s Fab 5 in Taiwan.
https://t.co/OZWVStyfpR
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Taiwan media: Rumors emerge that Micron may acquire Innolux’s Fab 5 in Taiwan.
https://t.co/OZWVStyfpR
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God of Prompt
1 hour left, go vote!
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1 hour left, go vote!
You can only pick one tool. Which one?
- Claude
- ChatGPT
- Gemini tweet
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God of Prompt (@godofprompt) on X
You can only pick one tool. Which one?
Offshore
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Offshore
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Moon Dev
The Polymarket Cheat Code: Using Autonomous AI Agents To Out-Trade The Smart Money
the reality of modern trading is that if you are still relying on your own gut feeling to predict global events you are essentially donating your money to the math nerds with high speed internet. most people treat prediction markets like a fun way to bet on who wins the next election but the professionals see them as a data mine that can be cracked open with the right set of keys
if you could sit in a room with seven of the smartest analysts on the planet and have them reach a consensus on every single trade before you placed it your win rate would skyrocket overnight. that sounds like a pipe dream for anyone without a billion dollar hedge fund but with the release of opus 4.5 and the rise of autonomous swarms that room is now sitting inside a single python script on your desktop
i spent years losing money to liquidations and over trading because i thought i could outsmart the market with sheer willpower. i spent hundreds of thousands of dollars on developers to build apps for me because i was too intimidated by the terminal to do it myself but i eventually realized that code is the only true equalizer in a world where the big players have all the leverage
prediction markets like polymarket are the wild west of finance right now because you can trade anything from elon tweets to movie box office numbers. while most retail traders are getting emotional over sports or crypto price action there is massive edge in the obscure markets that the big bots havent fully saturated yet
it is one thing to have an opinion on a market but it is a completely different game to have an ai swarm analyze real time trade data as it happens. the system i built tracks big traders and whales through a websocket stream and then passes that data through a gauntlet of different models to find where the real conviction lies
the core of this strategy is the swarm agent which acts like a board of directors for your capital. instead of relying on just one model we use a mix of claude haiku grock deepseek and now the massive power of opus 4.5 to give us a multi perspective view of every opportunity
most people stop at the first model they try because they want a simple answer but the market is never simple. when you have seven different ais looking at the same data point and they all reach a consensus you are no longer gambling you are trading based on probabilistic certainty
the beautiful thing about being a developer today is that the ai is getting better every single day and we are the ones who get to plug it in. it took me less than ten minutes to implement the latest opus model into my existing framework because once you have the infrastructure built you just keep swapping in better brains
if you are still staring at charts all day trying to find a pattern you are fighting a losing battle against machines that dont sleep. i decided to learn to code live on youtube because i wanted to prove that you dont need a degree to build these automated systems that can handle the heavy lifting for you
the poly market agent works by capturing over five hundred trades in real time and filtering out the noise like sports and leverage crypto bets. by focusing on non emotional markets and looking for clusters of big buy orders we can identify where the smart money is moving before the rest of the market catches on
one of the biggest mistakes i see traders make is ignoring the risk management side of the equation. our system uses a consensus picker to identify only the top five markets with the strongest agreement among all seven models because taking fewer high quality trades is always better than spraying and praying
the ai doesn't just give a yes or no answer it provides a full reasoning process for every single decision it makes. for example it might see a mismatch in a cup fixture or a home court advantage that a human would overlook because they are too biased by their own fandom[...]
The Polymarket Cheat Code: Using Autonomous AI Agents To Out-Trade The Smart Money
the reality of modern trading is that if you are still relying on your own gut feeling to predict global events you are essentially donating your money to the math nerds with high speed internet. most people treat prediction markets like a fun way to bet on who wins the next election but the professionals see them as a data mine that can be cracked open with the right set of keys
if you could sit in a room with seven of the smartest analysts on the planet and have them reach a consensus on every single trade before you placed it your win rate would skyrocket overnight. that sounds like a pipe dream for anyone without a billion dollar hedge fund but with the release of opus 4.5 and the rise of autonomous swarms that room is now sitting inside a single python script on your desktop
i spent years losing money to liquidations and over trading because i thought i could outsmart the market with sheer willpower. i spent hundreds of thousands of dollars on developers to build apps for me because i was too intimidated by the terminal to do it myself but i eventually realized that code is the only true equalizer in a world where the big players have all the leverage
prediction markets like polymarket are the wild west of finance right now because you can trade anything from elon tweets to movie box office numbers. while most retail traders are getting emotional over sports or crypto price action there is massive edge in the obscure markets that the big bots havent fully saturated yet
it is one thing to have an opinion on a market but it is a completely different game to have an ai swarm analyze real time trade data as it happens. the system i built tracks big traders and whales through a websocket stream and then passes that data through a gauntlet of different models to find where the real conviction lies
the core of this strategy is the swarm agent which acts like a board of directors for your capital. instead of relying on just one model we use a mix of claude haiku grock deepseek and now the massive power of opus 4.5 to give us a multi perspective view of every opportunity
most people stop at the first model they try because they want a simple answer but the market is never simple. when you have seven different ais looking at the same data point and they all reach a consensus you are no longer gambling you are trading based on probabilistic certainty
the beautiful thing about being a developer today is that the ai is getting better every single day and we are the ones who get to plug it in. it took me less than ten minutes to implement the latest opus model into my existing framework because once you have the infrastructure built you just keep swapping in better brains
if you are still staring at charts all day trying to find a pattern you are fighting a losing battle against machines that dont sleep. i decided to learn to code live on youtube because i wanted to prove that you dont need a degree to build these automated systems that can handle the heavy lifting for you
the poly market agent works by capturing over five hundred trades in real time and filtering out the noise like sports and leverage crypto bets. by focusing on non emotional markets and looking for clusters of big buy orders we can identify where the smart money is moving before the rest of the market catches on
one of the biggest mistakes i see traders make is ignoring the risk management side of the equation. our system uses a consensus picker to identify only the top five markets with the strongest agreement among all seven models because taking fewer high quality trades is always better than spraying and praying
the ai doesn't just give a yes or no answer it provides a full reasoning process for every single decision it makes. for example it might see a mismatch in a cup fixture or a home court advantage that a human would overlook because they are too biased by their own fandom[...]
Offshore
Moon Dev The Polymarket Cheat Code: Using Autonomous AI Agents To Out-Trade The Smart Money the reality of modern trading is that if you are still relying on your own gut feeling to predict global events you are essentially donating your money to the math…
we are entering an era where your ability to ship code is directly tied to your ability to generate wealth. i keep these trade feeds on my screen all day not to trade manually but to visualize the order flow so i can build better algorithms in my mind while the bots do the actual execution
iteration is the only path to success in this game which is why i share all of this code on github for the real data dogs to pull and build upon. you have to bring your own edge to the table but having an autonomous agent swarm is like showing up to a knife fight with a heat seeking missile
i truly believe that everyone should be a builder right now because the tools are finally accessible to the average person. whether you are using websocket streaming to track whales or consensus models to filter your entries the goal is to move from "i think" to "the data shows" as fast as humanly possible
if you are ready to stop being the liquidity and start being the one who builds the systems then the road map is already laid out for you. the world is moving towards total automation and you can either be the one who writes the code or the one who gets traded against by it
tweet
iteration is the only path to success in this game which is why i share all of this code on github for the real data dogs to pull and build upon. you have to bring your own edge to the table but having an autonomous agent swarm is like showing up to a knife fight with a heat seeking missile
i truly believe that everyone should be a builder right now because the tools are finally accessible to the average person. whether you are using websocket streaming to track whales or consensus models to filter your entries the goal is to move from "i think" to "the data shows" as fast as humanly possible
if you are ready to stop being the liquidity and start being the one who builds the systems then the road map is already laid out for you. the world is moving towards total automation and you can either be the one who writes the code or the one who gets traded against by it
tweet