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ONE AI AGENT CAN TURN EMPTY BACKYARDS INTO POOL CONTRACTOR LEADS BEFORE THE HOMEOWNER EVEN ASKS FOR A QUOTE It works like this: AI scans expensive homes, finds large backyards without pools, generates a realistic pool preview, estimates the potential value increase, and turns it into a personalized sales...

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Asteri

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10,900 просмотров • 2 месяцев назад •via X (Twitter)

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This pool guy was called to find a leak that no one else could find. Within a little while he detected the leak around a jet. He wasn’t sure why no one could find it. The only way to permanently fix the leak was to jackhammer into the concrete and replace the pipe which would roughly cost $5K. Or, you could temporarily fix the leak with some putty for about $25. This is why I don’t own a pool anymore. If it could go wrong it would. Seems like there is always an issue with a pool. If you were the homeowner, would you spend the $5K to replace the pipe and not worry about it for a long time or would you just keep temporarily fixing it with putty?
2:12

This pool guy was called to find a leak that no one else could find. Within a little while he detected the leak around a jet. He wasn’t sure why no one could find it. The only way to permanently fix the leak was to jackhammer into the concrete and replace the pipe which would roughly cost $5K. Or, you could temporarily fix the leak with some putty for about $25. This is why I don’t own a pool anymore. If it could go wrong it would. Seems like there is always an issue with a pool. If you were the homeowner, would you spend the $5K to replace the pipe and not worry about it for a long time or would you just keep temporarily fixing it with putty?

👉M-Û-R-Č-H👈

2,368,375 просмотров • 4 месяцев назад

this ai agent is INSANE for creating & selling digital products... i built an agent that builds you digital products, helps you pick a niche, then gives you a full personalized blueprint to sell it. feed it a niche, the problem you're solving, and your desired outcome, one minute later you've got a ready-to-sell product and an ai assistant that helps you sell it. > it helps you find untapped niches in the digital product space > scans your niche for real problems, desires, and buyer personas > calculates whether the demand is actually worth launching into > once validated, it generates the full product in any format, pdf, notion template, ebook > gives you the exact path to sell it, even if you've never sold anything before. the output is a ready-to-sell product. go to your ai assistant, ask it how to sell, follow the blueprint. rt + reply "agent" and i'll send it to you so you can use it for your business (must be following so i can dm)
0:41

this ai agent is INSANE for creating & selling digital products... i built an agent that builds you digital products, helps you pick a niche, then gives you a full personalized blueprint to sell it. feed it a niche, the problem you're solving, and your desired outcome, one minute later you've got a ready-to-sell product and an ai assistant that helps you sell it. > it helps you find untapped niches in the digital product space > scans your niche for real problems, desires, and buyer personas > calculates whether the demand is actually worth launching into > once validated, it generates the full product in any format, pdf, notion template, ebook > gives you the exact path to sell it, even if you've never sold anything before. the output is a ready-to-sell product. go to your ai assistant, ask it how to sell, follow the blueprint. rt + reply "agent" and i'll send it to you so you can use it for your business (must be following so i can dm)

MONTE

13,769 просмотров • 1 месяц назад

Sahil Bloom reveals you can make $100,000/month doing AI consulting for businesses “You could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflow.” “I think that a young person that understands AI, and like has a pretty decent understanding of some of the models that are out there and the capabilities, can go build a $100,000 a month business doing that.”
0:55

Sahil Bloom reveals you can make $100,000/month doing AI consulting for businesses “You could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflow.” “I think that a young person that understands AI, and like has a pretty decent understanding of some of the models that are out there and the capabilities, can go build a $100,000 a month business doing that.”

The Iced Coffee Hour

18,669 просмотров • 2 месяцев назад

A student built a whole faceless passive business by creating AI backyards. I kept seeing these AI backyard builds hitting 50M views and thought it took months of editing, but I was wrong. The creators aren't starting with a dirt lot. They start with the perfect final image and make the AI work backward. And the secret is stupidly simple: generate the final picture first, and let the AI reverse-engineer it. Here is the exact 3-step system you can use to build this: - The Blueprint: Upload your finished backyard to the "Restoration Timelapse" GPT. It reverse-engineers the final image into text prompts for the empty lot. - The Setup: Paste those prompts into Dzine. This generates your "before" images with perfectly matched geometry. - The Animation: Upload your empty lot and finished yard into Kling 3.0 to animate the build. Once Kling spits out the video file, drop it into CapCut, keep the raw construction audio, and export. I broke down the complete, step-by-step architecture with GPT + GROK + CAPCUT in my full guide below 👇
0:39

A student built a whole faceless passive business by creating AI backyards. I kept seeing these AI backyard builds hitting 50M views and thought it took months of editing, but I was wrong. The creators aren't starting with a dirt lot. They start with the perfect final image and make the AI work backward. And the secret is stupidly simple: generate the final picture first, and let the AI reverse-engineer it. Here is the exact 3-step system you can use to build this: - The Blueprint: Upload your finished backyard to the "Restoration Timelapse" GPT. It reverse-engineers the final image into text prompts for the empty lot. - The Setup: Paste those prompts into Dzine. This generates your "before" images with perfectly matched geometry. - The Animation: Upload your empty lot and finished yard into Kling 3.0 to animate the build. Once Kling spits out the video file, drop it into CapCut, keep the raw construction audio, and export. I broke down the complete, step-by-step architecture with GPT + GROK + CAPCUT in my full guide below 👇

Spivach

17,421 просмотров • 2 месяцев назад

This is wild.. 🤯 I just built BananaBlink using Blink AI, a full SaaS that lets anyone upload a photo and turn it into the Nano Banana trend. It’s not a demo, it’s a fully working startup... Reply "Banana," and I will DM it to you. Here is how it works + workflow:
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This is wild.. 🤯 I just built BananaBlink using Blink AI, a full SaaS that lets anyone upload a photo and turn it into the Nano Banana trend. It’s not a demo, it’s a fully working startup... Reply "Banana," and I will DM it to you. Here is how it works + workflow:

Hamza Khalid

36,313 просмотров • 9 месяцев назад

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.
0:39

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

a16z

366,027 просмотров • 11 месяцев назад

Puck's Dylan Byers says AI has become a priority for Hollywood, with every major studio exploring how to integrate it into production. "Every studio, even A24, is thinking, 'How do we incorporate AI into what we are doing?'" "The signal that those creators sent with films like Obsession and others is that [using AI in filmmaking] can be done and it can be successful. Does it mean that every human is going away? No. I think that most folks will find ways to incorporate [AI] in ways that do not significantly degrade the value of the content that they're making." "But I think the sky's the limit. Those examples have shown that this can be done and that there is more opportunity here than the folks who are clutching to Hollywood's past have realized."
1:25

Puck's Dylan Byers says AI has become a priority for Hollywood, with every major studio exploring how to integrate it into production. "Every studio, even A24, is thinking, 'How do we incorporate AI into what we are doing?'" "The signal that those creators sent with films like Obsession and others is that [using AI in filmmaking] can be done and it can be successful. Does it mean that every human is going away? No. I think that most folks will find ways to incorporate [AI] in ways that do not significantly degrade the value of the content that they're making." "But I think the sky's the limit. Those examples have shown that this can be done and that there is more opportunity here than the folks who are clutching to Hollywood's past have realized."

TBPN

54,791 просмотров • 1 месяц назад

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.
0:56

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

Nekt0

14,833 просмотров • 2 месяцев назад

Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.
6:52

Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.

Mckay Wrigley

190,105 просмотров • 1 год назад

This fit woman in a pink and green bikini sits by the pool and takes a big bite of a large wrap while a shirtless man beside her smiles and eats as well. She chews and looks at the camera with a satisfied expression as palm trees and bright sunlight fill the background. This relaxed poolside meal turns a sunny day into a casual and happy moment. You wonder if enjoying simple meals like this by the pool is the best way to relax or if it’s the company that makes it special. Would you share a big wrap by the pool with someone or prefer to eat alone?
0:59

This fit woman in a pink and green bikini sits by the pool and takes a big bite of a large wrap while a shirtless man beside her smiles and eats as well. She chews and looks at the camera with a satisfied expression as palm trees and bright sunlight fill the background. This relaxed poolside meal turns a sunny day into a casual and happy moment. You wonder if enjoying simple meals like this by the pool is the best way to relax or if it’s the company that makes it special. Would you share a big wrap by the pool with someone or prefer to eat alone?

Ryan Cey

453,105 просмотров • 3 месяцев назад

Sound on if you want quick step by step on indoor pools & moisture issues. Even with the moisture that builds in the air via evaporation there are steps I take to keep it under control. Why do I add them? Because adding a pool to a STR new build costs about $50K all in (pool, concrete, walls, material, HVAC/dehumid equipment). Spending that $50K though increases my sale price by $250K. Why? Because having an indoor pool on a STR adds easy $50K - $75K per yr in rental revenue vs the exact layout without a pool. The higher the rental revenue, the more my cabins sell for.
2:36

Sound on if you want quick step by step on indoor pools & moisture issues. Even with the moisture that builds in the air via evaporation there are steps I take to keep it under control. Why do I add them? Because adding a pool to a STR new build costs about $50K all in (pool, concrete, walls, material, HVAC/dehumid equipment). Spending that $50K though increases my sale price by $250K. Why? Because having an indoor pool on a STR adds easy $50K - $75K per yr in rental revenue vs the exact layout without a pool. The higher the rental revenue, the more my cabins sell for.

BowTiedBroke

40,595 просмотров • 18 дней назад

CLAUDE JUST COLLAPSED THE ENTIRE DESIGN STACK INTO A CHAT WINDOW. Canva. Figma. Slide decks. UI mockups. Infographics. All compressed into prompts. This video barely looks real. One prompt generates a full mobile app interface. Another turns random files into polished presentations and PDFs. Then the craziest part: you can export the entire design directly into Claude Code and continue building it instantly. The wall between design and development is disappearing in real time. The math nobody is doing. A startup that needed: • a UI designer • a presentation designer • a frontend mockup artist can now prototype everything in one workflow before hiring anyone. That changes who gets to build. A solo founder with taste and good prompts suddenly has capabilities that required entire creative teams in 2024. The bottleneck is no longer software. It’s judgment.
1:34

CLAUDE JUST COLLAPSED THE ENTIRE DESIGN STACK INTO A CHAT WINDOW. Canva. Figma. Slide decks. UI mockups. Infographics. All compressed into prompts. This video barely looks real. One prompt generates a full mobile app interface. Another turns random files into polished presentations and PDFs. Then the craziest part: you can export the entire design directly into Claude Code and continue building it instantly. The wall between design and development is disappearing in real time. The math nobody is doing. A startup that needed: • a UI designer • a presentation designer • a frontend mockup artist can now prototype everything in one workflow before hiring anyone. That changes who gets to build. A solo founder with taste and good prompts suddenly has capabilities that required entire creative teams in 2024. The bottleneck is no longer software. It’s judgment.

lagerskoy

11,485 просмотров • 2 месяцев назад

HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this
2:06

HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this

Yarchi

106,174 просмотров • 2 месяцев назад

THIS CREATOR SAYS AI AUTOMATION CAN GET YOU TO $10K/MONTH The pitch is simple: small businesses already have enough repetitive work to sell into Messages that need replies. Leads that need follow-up. Appointments that need booking. Invoices that need checking. Reviews that need answers. Customer questions that keep coming back every week AI automation turns those boring gaps into packaged services You are not trying to sell a business owner ChatGPT, you are selling the thing they can feel immediately: fewer missed leads, faster replies, cleaner operations, and less manual work sitting on the owner’s plate at the end of the day That's why this niche keeps showing up in short videos, the tools are getting easier, but the real money is still in spotting one painful workflow, making it run without the owner touching it, and charging monthly because the problem comes back every day The article below breaks down one version of that model
0:53

THIS CREATOR SAYS AI AUTOMATION CAN GET YOU TO $10K/MONTH The pitch is simple: small businesses already have enough repetitive work to sell into Messages that need replies. Leads that need follow-up. Appointments that need booking. Invoices that need checking. Reviews that need answers. Customer questions that keep coming back every week AI automation turns those boring gaps into packaged services You are not trying to sell a business owner ChatGPT, you are selling the thing they can feel immediately: fewer missed leads, faster replies, cleaner operations, and less manual work sitting on the owner’s plate at the end of the day That's why this niche keeps showing up in short videos, the tools are getting easier, but the real money is still in spotting one painful workflow, making it run without the owner touching it, and charging monthly because the problem comes back every day The article below breaks down one version of that model

RDeni

38,634 просмотров • 1 месяц назад

CITADEL QUANTS HIDE THE GAME BEHIND A FORMULA WITH TEN TERMS, PREDICTION MARKETS RUN ON EXACTLY ONE The secret is one line. Edge = P(model) − P(market) That Z-field monster on screen is a stack of simple signals wearing a costume. A prediction market strips all of it down to one number, the crowd's guess at a probability. In plain words. If you can turn fresh news into a probability before the crowd reprices, the gap between your number and their price is the whole edge. That is why the game is not IQ, it is speed to a number. An AI that reads live news does in ninety seconds what the tab takes hours to price in. I broke down the four exact prompts that turn Grok into a probability desk, the sizing rules and the ten minute daily routine in the article. Still bets, not a salary, so size like it & the full playbook is in the article. Read it ↓
0:46

CITADEL QUANTS HIDE THE GAME BEHIND A FORMULA WITH TEN TERMS, PREDICTION MARKETS RUN ON EXACTLY ONE The secret is one line. Edge = P(model) − P(market) That Z-field monster on screen is a stack of simple signals wearing a costume. A prediction market strips all of it down to one number, the crowd's guess at a probability. In plain words. If you can turn fresh news into a probability before the crowd reprices, the gap between your number and their price is the whole edge. That is why the game is not IQ, it is speed to a number. An AI that reads live news does in ninety seconds what the tab takes hours to price in. I broke down the four exact prompts that turn Grok into a probability desk, the sizing rules and the ten minute daily routine in the article. Still bets, not a salary, so size like it & the full playbook is in the article. Read it ↓

slash1s

15,977 просмотров • 23 дней назад

When this couple rented a hotel room they were told how many people could stay in the room, it was 4. They were also told that only paid guests could enjoy the amenities like the indoor pool. They ending up throwing a pool party for their daughter at the hotel pool. Management caught wind of what happened and asked them to leave the hotel, they were put on the do not rent list for this behavior. The man says that since there is no sign at the pool that doesn’t permit it, then it’s allowed and he’s refusing to leave the hotel, he even calls it a dump but got mad when they banned them. I’ve heard of people doing this before and having no problems, I wonder what inappropriate behaviors they were doing to get kicked out, was the man right though about the hotel not having a sign at the pool, that he should have been allowed to give his friends access to the pool even though they weren’t paying guests?
2:28

When this couple rented a hotel room they were told how many people could stay in the room, it was 4. They were also told that only paid guests could enjoy the amenities like the indoor pool. They ending up throwing a pool party for their daughter at the hotel pool. Management caught wind of what happened and asked them to leave the hotel, they were put on the do not rent list for this behavior. The man says that since there is no sign at the pool that doesn’t permit it, then it’s allowed and he’s refusing to leave the hotel, he even calls it a dump but got mad when they banned them. I’ve heard of people doing this before and having no problems, I wonder what inappropriate behaviors they were doing to get kicked out, was the man right though about the hotel not having a sign at the pool, that he should have been allowed to give his friends access to the pool even though they weren’t paying guests?

SonnyBoy🇺🇸

113,150 просмотров • 6 месяцев назад

Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.
26:58

Google Brain founder, Andrew Ng: "One of the most important skills of the future is the ability to tell a computer exactly what you want so it can do it for you." In this talk, he explains why the biggest opportunity isn't just using AI. It's learning how to turn work into agentic workflows, break tasks into steps, give agents the right tools and context, add evals, and make the whole system reliable. That's the difference between prompting an AI and engineering an agent that actually works. Watch it today, then read the full guide in the article below.

Rahul

11,553 просмотров • 7 дней назад

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.
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At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

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