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Create your own Ai girlfriend no rules no filter 🎥 #flightattendant #uniform #asianbabe #asiangirl #asianhotties #aiwaifu #aigirl #aiporn #aigenerated #nsfwai #nsfw #porn #adult #pov #blowjob

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DREAM.AI

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28,221 views • 22 days ago •via X (Twitter)

NSFW#flightattendant#uniform#asianbabe#asiangirl#asianhotties#aiwaifu#aigirl#aiporn#aigenerated#nsfwai#nsfw#porn#adult#pov#blowjob
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🎥 See how AI Dev Agent works: Turn simple prompts into real products — no code, no barriers. 👉 Design, create, and launch full apps, games, websites. 👉 Issue your own token paired to $AIDEV and build your economy. Start today: 🔥
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🎥 See how AI Dev Agent works: Turn simple prompts into real products — no code, no barriers. 👉 Design, create, and launch full apps, games, websites. 👉 Issue your own token paired to $AIDEV and build your economy. Start today: 🔥

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AnimAI the first AI-crafted crypto world builder. Here’s how it works 👇 🎥 Launch a token + full Web3 dApp world in seconds — straight from a tweet. ✅ Vault-backed Smart Floor Tokens ✅ In-world AI Agent companions ✅ Built-in staking + burn mechanics ✅ No liquidity games, no team wallets ✅ Revenue for Creator and User This isn’t just DeFi. It’s AI imagination with an economy. 🎮 Create your own crypto-powered universe with $ANIMAI. 🌎 Reserve your world now: #Animai #ai #aiagent #ai
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AnimAI the first AI-crafted crypto world builder. Here’s how it works 👇 🎥 Launch a token + full Web3 dApp world in seconds — straight from a tweet. ✅ Vault-backed Smart Floor Tokens ✅ In-world AI Agent companions ✅ Built-in staking + burn mechanics ✅ No liquidity games, no team wallets ✅ Revenue for Creator and User This isn’t just DeFi. It’s AI imagination with an economy. 🎮 Create your own crypto-powered universe with $ANIMAI. 🌎 Reserve your world now: #Animai #ai #aiagent #ai

AnimAI

55,341 views • 1 year ago

POV: You just landed on the Moon... Suit up. Step out. Collect samples. Explore the unknown. What looks like a real space mission? Fully created with AI. As NASA pushes forward with the Artemis Program—and with Artemis II making its return— the future of space feels closer than ever. And now… you can create your own mission. No rocket needed. Just imagination + AI.
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POV: You just landed on the Moon... Suit up. Step out. Collect samples. Explore the unknown. What looks like a real space mission? Fully created with AI. As NASA pushes forward with the Artemis Program—and with Artemis II making its return— the future of space feels closer than ever. And now… you can create your own mission. No rocket needed. Just imagination + AI.

Akool Inc

844,536 views • 4 months ago

HERMES AGENT TURNS EXPENSE TRACKING INTO ZERO FRICTION. No Siri Shortcuts. No manual entry. Just open Telegram and say: “Hey Bob, I spent $15 on dinner at Guzman Y Gomez.” Done. Hermes profile “Bob” automatically: - Parses the message - Categorizes the expense - Writes directly to your Notion database - Asks clarifying questions when needed (e.g. “Summit” — clothing brand or location?) This is the real advantage of Hermes profiles. You create specialist agents with their own memory, tools, and instructions instead of talking to one generic assistant. Quick setup: 1. Create the profile `hermes profile create bob` 2. Connect Telegram `hermes gateway setup` 3. Equip Bob with tools Enable the Notion integration + required MCP servers so he can write to your database. 4. Define the rules Set categories, formatting and clarification logic in his system prompt or SOUL. md .HERMES AGENT TURNS EXPENSE TRACKING INTO ZERO FRICTION. No Siri Shortcuts. No manual entry. Just open Telegram and say: “Hey Bob, I spent $15 on dinner at Guzman Y Gomez.” Done. Hermes profile “Bob” automatically: - Parses the message - Categorizes the expense - Writes directly to your Notion database - Asks clarifying questions when needed This is the real power of Hermes profiles — you create specialist agents with their own memory, tools, and instructions. Quick setup: 1. Create the profile `hermes profile create bob` 2. Connect Telegram `hermes gateway setup` 3. Equip Bob with tools Enable Notion integration + required MCP servers 4. Set the rules Define categories and logic in his system prompt / SOUL.md The best expense system is the one you actually use every day. Hermes + Telegram removes almost all friction. Want the full ready-to-use setup for your own expense tracker? comment “TELEGRAM” below and I’ll send you the complete configuration. Now you have a real personal finance assistant living in Telegram — always on, zero effort. The best expense system is the one you actually use every day. Hermes + Telegram removes almost all friction. This is how you turn an AI into a daily virtual employee. full guide on building these workflows in the article 👇
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HERMES AGENT TURNS EXPENSE TRACKING INTO ZERO FRICTION. No Siri Shortcuts. No manual entry. Just open Telegram and say: “Hey Bob, I spent $15 on dinner at Guzman Y Gomez.” Done. Hermes profile “Bob” automatically: - Parses the message - Categorizes the expense - Writes directly to your Notion database - Asks clarifying questions when needed (e.g. “Summit” — clothing brand or location?) This is the real advantage of Hermes profiles. You create specialist agents with their own memory, tools, and instructions instead of talking to one generic assistant. Quick setup: 1. Create the profile `hermes profile create bob` 2. Connect Telegram `hermes gateway setup` 3. Equip Bob with tools Enable the Notion integration + required MCP servers so he can write to your database. 4. Define the rules Set categories, formatting and clarification logic in his system prompt or SOUL. md .HERMES AGENT TURNS EXPENSE TRACKING INTO ZERO FRICTION. No Siri Shortcuts. No manual entry. Just open Telegram and say: “Hey Bob, I spent $15 on dinner at Guzman Y Gomez.” Done. Hermes profile “Bob” automatically: - Parses the message - Categorizes the expense - Writes directly to your Notion database - Asks clarifying questions when needed This is the real power of Hermes profiles — you create specialist agents with their own memory, tools, and instructions. Quick setup: 1. Create the profile `hermes profile create bob` 2. Connect Telegram `hermes gateway setup` 3. Equip Bob with tools Enable Notion integration + required MCP servers 4. Set the rules Define categories and logic in his system prompt / SOUL.md The best expense system is the one you actually use every day. Hermes + Telegram removes almost all friction. Want the full ready-to-use setup for your own expense tracker? comment “TELEGRAM” below and I’ll send you the complete configuration. Now you have a real personal finance assistant living in Telegram — always on, zero effort. The best expense system is the one you actually use every day. Hermes + Telegram removes almost all friction. This is how you turn an AI into a daily virtual employee. full guide on building these workflows in the article 👇

YanXbt

21,511 views • 2 months ago

Meta just dropped the biggest Ad Library update ever: you can now sort any brand's ads by highest impressions 🤯 Which means you can see exactly which competitor ads are getting the most views. Daniel ⛰️ from ACTIV said "if someone can create an AI scraper to review the top 10 ads every week, I'd pay for that." So I built it with Claude Code. Here's how it works: → Import any brand with their Ad Library URL → Apify scrapes their top-performing ads automatically → Click into any ad for full breakdown (headline, copy, CTA) → Gemini watches the video or analyzes the image → Returns asset type, visual format, messaging angle, hook tactic, offer type No manual research, no watching videos one by one, no messy spreadsheets. Here's what I built: - 50+ DTC brands already loaded (AG1, Caraway, Chomps, Dr. Squatch, Gruns, Jones Road, Magic Spoon, Ridge) - Weekly auto-scrape to refresh top ads - AI analysis on any ad in one click - Bookmark system to save winners - Filter by brand, category, media type, or AI tags Built 100% in Claude Code, hosted on Replit. I recorded a full step-by-step showing exactly how I built this. Want to build your own version? I'm giving away the prompts I used + the Claude Code starter template. To get access for free: > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
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Meta just dropped the biggest Ad Library update ever: you can now sort any brand's ads by highest impressions 🤯 Which means you can see exactly which competitor ads are getting the most views. Daniel ⛰️ from ACTIV said "if someone can create an AI scraper to review the top 10 ads every week, I'd pay for that." So I built it with Claude Code. Here's how it works: → Import any brand with their Ad Library URL → Apify scrapes their top-performing ads automatically → Click into any ad for full breakdown (headline, copy, CTA) → Gemini watches the video or analyzes the image → Returns asset type, visual format, messaging angle, hook tactic, offer type No manual research, no watching videos one by one, no messy spreadsheets. Here's what I built: - 50+ DTC brands already loaded (AG1, Caraway, Chomps, Dr. Squatch, Gruns, Jones Road, Magic Spoon, Ridge) - Weekly auto-scrape to refresh top ads - AI analysis on any ad in one click - Bookmark system to save winners - Filter by brand, category, media type, or AI tags Built 100% in Claude Code, hosted on Replit. I recorded a full step-by-step showing exactly how I built this. Want to build your own version? I'm giving away the prompts I used + the Claude Code starter template. To get access for free: > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

83,948 views • 6 months ago

$FAME and #AICON Launcher are officially LIVE on Base!🔥 A chance to be part of something BIG–Participate in the #AICON revolution and experience the top-tier seamless experience with #FameAI 🔗 Time to celebrate this milestone together! 🌟 ----------------------------------------------------------- 🚨 Early Access to Fame AI-CON Launcher is Now Available on BASE! 🚨 With FameAI's #AICON Launcher, you can: ✨ Create your human-like AICON ✨ Publish your AI-CON's token on the market $FAME will be tokenized as the first tradable #AICON on our platform! ----------------------------------------------------------- 🔥Early access will be available for selected $FMC stakers🔥 Stakers can enjoy full features being rolled out in the coming weeks. Next up, opening to the public! $FMC stakers, stake now if you haven't already! 👉 ----------------------------------------------------------- 🟣 How Does #FameAI's #AICON Launcher Work? 💻 No coding required! Anyone can create their own #AICON 🔗 Launch your #AICON token—graduated AI-CON can trade on Base Uniswap v2 ⚙️ Fully customizable and highly autonomous How to acquire $FMC on Base ----------------------------------------------------------- 🟣 $FAME Token and FAME Framework This is built to simulate human-like interactions on social platforms. 🎨 Generates content: Images, text, videos 🤖 Reflects personality, knowledge, and mood 💰 Powered by $FAME token ✨ CA: 0xB8e23ab4A1762Fe8dABb844EcC66FEEE3725c480 🔗 Read more here 👉 ----------------------------------------------------------- 🟣 Fame Studio Fame Studio lets you: ✅ Create hyper-realistic human identities ✅ Generate images, audio, music, and even videos V2 Update Coming Soon– Expanded features for more engaging content—perfect for creators and innovators! #AIAgents $FMC #FameAI $FAME ----------------------------------------------------------- 🟣 #FameAI Roadmap for Q1 2025 🚀 Skill Marketplace: Co-create #AICON, utilizing $FMC as the native currency 🧠 AI-Agent Learning: Train agents to learn specific tones, personalities, and behaviors with one click 🎥 Live Streaming: Superhuman-like models for business or lifestyle-focused live streams
0:35

$FAME and #AICON Launcher are officially LIVE on Base!🔥 A chance to be part of something BIG–Participate in the #AICON revolution and experience the top-tier seamless experience with #FameAI 🔗 Time to celebrate this milestone together! 🌟 ----------------------------------------------------------- 🚨 Early Access to Fame AI-CON Launcher is Now Available on BASE! 🚨 With FameAI's #AICON Launcher, you can: ✨ Create your human-like AICON ✨ Publish your AI-CON's token on the market $FAME will be tokenized as the first tradable #AICON on our platform! ----------------------------------------------------------- 🔥Early access will be available for selected $FMC stakers🔥 Stakers can enjoy full features being rolled out in the coming weeks. Next up, opening to the public! $FMC stakers, stake now if you haven't already! 👉 ----------------------------------------------------------- 🟣 How Does #FameAI's #AICON Launcher Work? 💻 No coding required! Anyone can create their own #AICON 🔗 Launch your #AICON token—graduated AI-CON can trade on Base Uniswap v2 ⚙️ Fully customizable and highly autonomous How to acquire $FMC on Base ----------------------------------------------------------- 🟣 $FAME Token and FAME Framework This is built to simulate human-like interactions on social platforms. 🎨 Generates content: Images, text, videos 🤖 Reflects personality, knowledge, and mood 💰 Powered by $FAME token ✨ CA: 0xB8e23ab4A1762Fe8dABb844EcC66FEEE3725c480 🔗 Read more here 👉 ----------------------------------------------------------- 🟣 Fame Studio Fame Studio lets you: ✅ Create hyper-realistic human identities ✅ Generate images, audio, music, and even videos V2 Update Coming Soon– Expanded features for more engaging content—perfect for creators and innovators! #AIAgents $FMC #FameAI $FAME ----------------------------------------------------------- 🟣 #FameAI Roadmap for Q1 2025 🚀 Skill Marketplace: Co-create #AICON, utilizing $FMC as the native currency 🧠 AI-Agent Learning: Train agents to learn specific tones, personalities, and behaviors with one click 🎥 Live Streaming: Superhuman-like models for business or lifestyle-focused live streams

Fame AI | The Home of AI Agent 2.0 - AI-CON

23,775 views • 1 year ago

When random kids show up out of nowhere😂 There’s a quiet truth running through every one of these clips: young children haven’t yet learned the invisible social fences adults spend decades building. One moment you’re trying to create a soft, private memory with your own kid in the pool. The next, a complete stranger toddler has materialised inside the frame like they teleported in. Or you’re quietly sharing cake and suddenly an uninvited four-year-old is locked in intense, silent judgment of your frosting choices. No hesitation. No “is this okay?” Just pure, unfiltered magnetic pull toward whatever looks interesting. These aren’t random accidents. They’re living proof that kids still treat the entire world as shared territory. They haven’t absorbed the adult rules about personal space, ownership of moments, or the need to perform politeness. The result is pure comedy — and also a small, recurring reminder of what unselfconscious human curiosity actually looks like before we train it out of ourselves. In a timeline full of carefully managed interactions and filtered lives, these tiny invasions feel strangely refreshing. They break the script for a few seconds and force everyone involved (and everyone watching) to drop the performance. What’s the most unexpected “random kid appeared out of thin air” moment you’ve ever lived through?
1:38

When random kids show up out of nowhere😂 There’s a quiet truth running through every one of these clips: young children haven’t yet learned the invisible social fences adults spend decades building. One moment you’re trying to create a soft, private memory with your own kid in the pool. The next, a complete stranger toddler has materialised inside the frame like they teleported in. Or you’re quietly sharing cake and suddenly an uninvited four-year-old is locked in intense, silent judgment of your frosting choices. No hesitation. No “is this okay?” Just pure, unfiltered magnetic pull toward whatever looks interesting. These aren’t random accidents. They’re living proof that kids still treat the entire world as shared territory. They haven’t absorbed the adult rules about personal space, ownership of moments, or the need to perform politeness. The result is pure comedy — and also a small, recurring reminder of what unselfconscious human curiosity actually looks like before we train it out of ourselves. In a timeline full of carefully managed interactions and filtered lives, these tiny invasions feel strangely refreshing. They break the script for a few seconds and force everyone involved (and everyone watching) to drop the performance. What’s the most unexpected “random kid appeared out of thin air” moment you’ve ever lived through?

Bobbi

91,839 views • 5 days ago

📢 New a16z request for startups: a new generation of rule-breaking gamemakers 📢 One of my biggest takeaways from 15 years of building games: the cardinal rule of game develop is that there are no permanent rules of game development! Platforms change. Player preferences shift. Technology and tools evolve. The only constant is that great games require creativity, craft, and passion. Consider some “rules” that have already been broken: - "Game experiences should be unified across the player base." This was overturned when Zynga and other social gaming pioneers began A/B testing different versions of their games. The result? More optimized, engaging experiences that ultimately benefited all players. - "Showing ads will hurt monetization." Playrix and others proved the opposite: rewarded video ads not only improved monetization but also increased retention, giving players a way to access premium content without spending money. We believe many more “rules” will be broken in the AI era—and we’re excited to back the founders who will break them. Here are just a few conventions we expect to see challenged: 1. “World-building should be uniform and consistent.” Traditionally, a consistent game world and lore have been seen as essential for strengthening IP and building enduring franchises. But what if a player wants to explore their favorite parts of a world in their own way? With AI, imaginative developers can create adaptable game worlds that players can shape—unlocking endless, personalized storylines and experiences. 2. “Don’t try to ship a game without a complete team.” Game development has historically required a multi-disciplinary team across art, design, engineering, and production. But AI-assisted tools are making it increasingly feasible for smaller teams—or even solo developers—to build compelling games. If that trend continues, what skills will matter most? We believe the most irreplaceable ones are tied to storytelling: visual style, dialogue, tone, and narrative structure. These and many other longstanding assumptions are becoming increasingly fragile as AI tools improve at a breakneck pace. If you're building infinitely adaptive games, pioneering as a solo super-storyteller, or simply believe that the next great games won’t look anything like the ones we make today—apply to Speedrun. We’d love to meet you and help support the next generation of rule-breaking gamemakers.
1:38

📢 New a16z request for startups: a new generation of rule-breaking gamemakers 📢 One of my biggest takeaways from 15 years of building games: the cardinal rule of game develop is that there are no permanent rules of game development! Platforms change. Player preferences shift. Technology and tools evolve. The only constant is that great games require creativity, craft, and passion. Consider some “rules” that have already been broken: - "Game experiences should be unified across the player base." This was overturned when Zynga and other social gaming pioneers began A/B testing different versions of their games. The result? More optimized, engaging experiences that ultimately benefited all players. - "Showing ads will hurt monetization." Playrix and others proved the opposite: rewarded video ads not only improved monetization but also increased retention, giving players a way to access premium content without spending money. We believe many more “rules” will be broken in the AI era—and we’re excited to back the founders who will break them. Here are just a few conventions we expect to see challenged: 1. “World-building should be uniform and consistent.” Traditionally, a consistent game world and lore have been seen as essential for strengthening IP and building enduring franchises. But what if a player wants to explore their favorite parts of a world in their own way? With AI, imaginative developers can create adaptable game worlds that players can shape—unlocking endless, personalized storylines and experiences. 2. “Don’t try to ship a game without a complete team.” Game development has historically required a multi-disciplinary team across art, design, engineering, and production. But AI-assisted tools are making it increasingly feasible for smaller teams—or even solo developers—to build compelling games. If that trend continues, what skills will matter most? We believe the most irreplaceable ones are tied to storytelling: visual style, dialogue, tone, and narrative structure. These and many other longstanding assumptions are becoming increasingly fragile as AI tools improve at a breakneck pace. If you're building infinitely adaptive games, pioneering as a solo super-storyteller, or simply believe that the next great games won’t look anything like the ones we make today—apply to Speedrun. We’d love to meet you and help support the next generation of rule-breaking gamemakers.

Josh Lu

30,338 views • 1 year ago

🚨 California’s Welfare Wonderland: Illegals Qualify for Full Medi-Cal, Housing, Paid Childcare, and $1,200+ Per Anchor Baby—While Citizens Get Denied A former California social services insider just detonated the myth: undocumented adults bypass SSN scrutiny entirely. No income checks. No asset verification. They walk in and qualify for full-scope Medi-Cal (state-funded expansions that covered 1.7+ million before the 2026 adult enrollment freeze), subsidized housing, Migrant Head Start (federally reclassified childcare now under tighter rules but long exploited), and—via U.S.-born citizen children—prorated CalFresh cash aid and food stamps at roughly $1,200 per kid plus $275 per person. State programs like CAPI sweeten the deal for aged or disabled non-citizens ineligible for federal SSI. This isn’t compassion—it’s an engineered inversion of the social contract. Federal law (PRWORA) bars most benefits for undocumented entrants precisely to protect the system. California weaponized state dollars (that they fraudulently bill the Federal government for, right, Gavin? and mixed-status loopholes to create a parallel economy: stay-at-home "moms" in Gucci driving Escalades, while citizen parents grind two jobs and veterans sleep rough. The result? Budget deficits, strained $50 Billion+ Medi-Cal rolls, and a perverse incentive structure that treats lawful residents as second-class in their own country. Scholarly truth: Every dollar funneled here is extracted from working taxpayers who face asset tests, work requirements, and clawbacks. It erodes the rule of law, distorts labor markets, and mocks the Founders’ compact—government exists to secure the blessings of liberty for citizens, not to import dependents who vote the pipeline open. America doesn’t hate immigrants. We reject the replacement racket. Time to enforce borders, end state-funded magnets, and put citizens first—before the system collapses under its own contradictions. #WelfareForIllegals #AnchorBabyBonanza #CaliforniaFraudExposed #TaxpayerTheft #AmericaFirstOrBust #EndTheLoopholeNow (Repost the video. Share if you’ve had enough of your tax dollars funding luxury for lawbreakers.)
3:40

🚨 California’s Welfare Wonderland: Illegals Qualify for Full Medi-Cal, Housing, Paid Childcare, and $1,200+ Per Anchor Baby—While Citizens Get Denied A former California social services insider just detonated the myth: undocumented adults bypass SSN scrutiny entirely. No income checks. No asset verification. They walk in and qualify for full-scope Medi-Cal (state-funded expansions that covered 1.7+ million before the 2026 adult enrollment freeze), subsidized housing, Migrant Head Start (federally reclassified childcare now under tighter rules but long exploited), and—via U.S.-born citizen children—prorated CalFresh cash aid and food stamps at roughly $1,200 per kid plus $275 per person. State programs like CAPI sweeten the deal for aged or disabled non-citizens ineligible for federal SSI. This isn’t compassion—it’s an engineered inversion of the social contract. Federal law (PRWORA) bars most benefits for undocumented entrants precisely to protect the system. California weaponized state dollars (that they fraudulently bill the Federal government for, right, Gavin? and mixed-status loopholes to create a parallel economy: stay-at-home "moms" in Gucci driving Escalades, while citizen parents grind two jobs and veterans sleep rough. The result? Budget deficits, strained $50 Billion+ Medi-Cal rolls, and a perverse incentive structure that treats lawful residents as second-class in their own country. Scholarly truth: Every dollar funneled here is extracted from working taxpayers who face asset tests, work requirements, and clawbacks. It erodes the rule of law, distorts labor markets, and mocks the Founders’ compact—government exists to secure the blessings of liberty for citizens, not to import dependents who vote the pipeline open. America doesn’t hate immigrants. We reject the replacement racket. Time to enforce borders, end state-funded magnets, and put citizens first—before the system collapses under its own contradictions. #WelfareForIllegals #AnchorBabyBonanza #CaliforniaFraudExposed #TaxpayerTheft #AmericaFirstOrBust #EndTheLoopholeNow (Repost the video. Share if you’ve had enough of your tax dollars funding luxury for lawbreakers.)

Tony Seruga

11,007 views • 3 months ago

Hello Cfx/FiveM Rockstar Games I am tweeting you today to ask for your assistance. You banned my SevenWands server for no reason, or for the wrong reasons. Please know that I paid a team of developers and mappers for 13 months to create my own magical universe. I created a lore, I created spells, I created factions, all from my own imagination and that of my team. We have been working on this project for over a year, as I said, and it has cost me over $100,000, all for the love of the magical world. We have NOTHING TO DO with Harry Potter. Obviously, as fans of the franchise, we were inspired by it, and I can't hide my love for it. But out of respect for your rules, I decided to create my own magical world, with absolutely everything made from scratch. Everything was homemade. Nothing was stolen from a server or anything else, and I have all the proof. I would like to talk to you privately, to show you that we simply want to open our world to players who want change and new things on FiveM. In two weeks since opening, we have welcomed 10,000 players, and every night we had 500 online (which is the limit) because we only accept a maximum of 500 players, so that players can have fun and there are no bugs. We do everything for the community, and we hope you will quickly resolve this issue, which is undeserved. I even registered the SevenWands trademark internationally to prove my commitment to you... Thank you for reading! ------------------------------- Bonsoir, Je vous tweet aujourd'hui pour vous demander de l'aide. Vous avez banni mon serveur SevenWands sans raison, ou alors de mauvaises raisons. Sachez que j'ai payé une équipe de dev, mappeurs durant 13 mois pour avoir mon propre univers magique, j'ai créé un lore, j'ai créé des sorts, j'ai créé des factions, tout sort de ma tête et celle de mon équipe. Ce projet, on travaille dessus depuis plus d'un an comme dis précédemment, et ça m'a coûté plus de 100.000$, et tout ça pour l'amour du monde magique. Nous n'avons RIEN A VOIR avec Harry Potter, nous nous sommes inspirés bien évidemment étant un fan de cette licence, et je ne peux vous cacher mon amour pour cette licence. Mais par respect de vos règles, j'ai décidé de créer mon monde magique, avec absolument tout fait de A à Z. Tout a été fait maison. Rien n'a été volé d'un serveur ou autre, et j'en ai toutes les preuves. J'aimerais discuter avec vous en privé, vous démontrer que nous voulons simplement ouvrir notre monde aux joueurs qui veulent du changement et de nouvelles choses sur FiveM. En deux semaines d'ouvertures, nous avons accueilli 10.000 joueurs, et chaque soirs nous étions 500 en ligne (qui est la limite) car nous n'acceptons que 500 joueurs maximum, pour que les joueurs aient du plaisir et qu'il n'y ai pas de bugs. Nous faisons tout pour la communauté, et nous espérons que vous allez vite régler ce problème, qui n'est pas mérité. J'ai même déposé la marque "SevenWands" au niveau international pour vous prouver mon engagement.. Merci d'avoir lu !
4:07

Hello Cfx/FiveM Rockstar Games I am tweeting you today to ask for your assistance. You banned my SevenWands server for no reason, or for the wrong reasons. Please know that I paid a team of developers and mappers for 13 months to create my own magical universe. I created a lore, I created spells, I created factions, all from my own imagination and that of my team. We have been working on this project for over a year, as I said, and it has cost me over $100,000, all for the love of the magical world. We have NOTHING TO DO with Harry Potter. Obviously, as fans of the franchise, we were inspired by it, and I can't hide my love for it. But out of respect for your rules, I decided to create my own magical world, with absolutely everything made from scratch. Everything was homemade. Nothing was stolen from a server or anything else, and I have all the proof. I would like to talk to you privately, to show you that we simply want to open our world to players who want change and new things on FiveM. In two weeks since opening, we have welcomed 10,000 players, and every night we had 500 online (which is the limit) because we only accept a maximum of 500 players, so that players can have fun and there are no bugs. We do everything for the community, and we hope you will quickly resolve this issue, which is undeserved. I even registered the SevenWands trademark internationally to prove my commitment to you... Thank you for reading! ------------------------------- Bonsoir, Je vous tweet aujourd'hui pour vous demander de l'aide. Vous avez banni mon serveur SevenWands sans raison, ou alors de mauvaises raisons. Sachez que j'ai payé une équipe de dev, mappeurs durant 13 mois pour avoir mon propre univers magique, j'ai créé un lore, j'ai créé des sorts, j'ai créé des factions, tout sort de ma tête et celle de mon équipe. Ce projet, on travaille dessus depuis plus d'un an comme dis précédemment, et ça m'a coûté plus de 100.000$, et tout ça pour l'amour du monde magique. Nous n'avons RIEN A VOIR avec Harry Potter, nous nous sommes inspirés bien évidemment étant un fan de cette licence, et je ne peux vous cacher mon amour pour cette licence. Mais par respect de vos règles, j'ai décidé de créer mon monde magique, avec absolument tout fait de A à Z. Tout a été fait maison. Rien n'a été volé d'un serveur ou autre, et j'en ai toutes les preuves. J'aimerais discuter avec vous en privé, vous démontrer que nous voulons simplement ouvrir notre monde aux joueurs qui veulent du changement et de nouvelles choses sur FiveM. En deux semaines d'ouvertures, nous avons accueilli 10.000 joueurs, et chaque soirs nous étions 500 en ligne (qui est la limite) car nous n'acceptons que 500 joueurs maximum, pour que les joueurs aient du plaisir et qu'il n'y ai pas de bugs. Nous faisons tout pour la communauté, et nous espérons que vous allez vite régler ce problème, qui n'est pas mérité. J'ai même déposé la marque "SevenWands" au niveau international pour vous prouver mon engagement.. Merci d'avoir lu !

TeufeurS

985,500 views • 9 months ago

Is writing quality subjective or objective? Of course, taste is personal and writers hate rules, but the more you read, the more you see the same patterns everywhere. Michael Dean has scored 100s of essays on 27 different metrics. He says we can use AI not to automate writing, but to elevate it. Here’s what we talked about: 1) You can’t develop good taste without knowing the fundamentals of your genre. These 27 patterns across all essays are not rules, but questions. Once you understand the constraints, you can break them creatively. 2) The best way to get good at writing is to change how you read. Don’t just read for content. Highlight the parts that resonate, and then deconstruct the voice and structure. 3) Storytelling is about stretching the unknown across time. 4) Great titles do triple duty: they create mystery, distill your thesis, and use phonetics that roll off the tongue. 'Pride and Prejudice' succeeds on all counts, while 'English Aristocracy' falls flat. 5) Get feedback by asking readers what they love and hate. Everyone knows to rework the parts people hate, but don't forget about the other invisible enemy: boredom. Beware of the parts people are indifferent to. Forgettable sections are the enemy of good writing, and no reaction is a bad reaction. 6) The ultimate goal of writing advice is to forget it. Good practice brings you fluency. People romanticize the Grateful Dead as an emblem of free-spirited intuition, but nobody talks about their insane work ethic. Young Jerry Garcia practiced banjo scales for 10 hours a day. Phil Lesh studied classical music theory for trumpet. They kicked out Bob Weir for not being rigorous enough and he had to work his way back into the band. By going into your head, you can get out of your head. 7) A good hook is a fractal. A hook isn’t just a clever way to intrigue a reader, it should capture the core dilemma of your essay. Understand the questions your writing answers, and then bake those questions into the subtext of your opening. 8) Personal writing involves the biographical details of your life. Could somebody put their name on your essay and get away with it? If so, you’re not on the page. 9) Personal writing has 3 criteria: biography (what happened), interiority (what you thought), and outlook (what you believe). It’s not about pushing these to their extremes, but having them work together to support your main idea. 10) To find your voice, change your arena. The way we shape language is linked to our environment. You’ll speak differently to a 5,000-person audience than to your five best friends. You’re more likely to experiment when the stakes and visibility are low. Consider an unlisted page on your website. Or consider a pseudonym (Fernando Pessoa had 75 of them). 11) Write about less: A student once asked Umberto Eco for advice about how to write a thesis. He wanted to write about all the volcanoes in the world. Eco told him to narrow it down. How about all the active volcanoes in the world? Nope, there are 48 of them. Get more specific. “Okay, how about the Popocatépetl Volcano in Mexico?” Okay, that works. Pick one volcano and focus on that. 12) We should prepare for AI to get better than we can imagine. If AI gets “extraterrestrially good,” becomes hyper relevant, and can replicate us to uncanny degrees—will you still write your own sentences? If the answer is yes, you don’t need to panic every time a new model comes out. By imagining the extremes, it helps you understand the timeless parts of the practice. 13) AI's ability to help you write is constrained by how much information you give it. Michael says: “The more you write, the more personal and aligned the replica can be.” 14) Write your first draft for yourself, and write your second draft for your reader. 15) Paragraphs are the atomic unit of composition. We are traumatized by The Five Paragraph Essay and need better heuristics. Each paragraph can start with a frame to hook the reader and end with a reward. Do it over and over again, and you'll get a Reader's Trance. 16) By learning to write essays, you become a Writing Generalist. Most genres specialize, but the essay is a medium of fusion. It combines the soul of a memoirist, the rigor of a philosopher, the pen of a poet, the persuasion of a marketer, the research of a journalist, and the creativity of a novelist. I've shared the full conversation with Michael Dean below. Of course, you can watch it here, but if you'd like to watch it on YouTube or listen on Apple or Spotify, I've shared those links below.
1:51:30

Is writing quality subjective or objective? Of course, taste is personal and writers hate rules, but the more you read, the more you see the same patterns everywhere. Michael Dean has scored 100s of essays on 27 different metrics. He says we can use AI not to automate writing, but to elevate it. Here’s what we talked about: 1) You can’t develop good taste without knowing the fundamentals of your genre. These 27 patterns across all essays are not rules, but questions. Once you understand the constraints, you can break them creatively. 2) The best way to get good at writing is to change how you read. Don’t just read for content. Highlight the parts that resonate, and then deconstruct the voice and structure. 3) Storytelling is about stretching the unknown across time. 4) Great titles do triple duty: they create mystery, distill your thesis, and use phonetics that roll off the tongue. 'Pride and Prejudice' succeeds on all counts, while 'English Aristocracy' falls flat. 5) Get feedback by asking readers what they love and hate. Everyone knows to rework the parts people hate, but don't forget about the other invisible enemy: boredom. Beware of the parts people are indifferent to. Forgettable sections are the enemy of good writing, and no reaction is a bad reaction. 6) The ultimate goal of writing advice is to forget it. Good practice brings you fluency. People romanticize the Grateful Dead as an emblem of free-spirited intuition, but nobody talks about their insane work ethic. Young Jerry Garcia practiced banjo scales for 10 hours a day. Phil Lesh studied classical music theory for trumpet. They kicked out Bob Weir for not being rigorous enough and he had to work his way back into the band. By going into your head, you can get out of your head. 7) A good hook is a fractal. A hook isn’t just a clever way to intrigue a reader, it should capture the core dilemma of your essay. Understand the questions your writing answers, and then bake those questions into the subtext of your opening. 8) Personal writing involves the biographical details of your life. Could somebody put their name on your essay and get away with it? If so, you’re not on the page. 9) Personal writing has 3 criteria: biography (what happened), interiority (what you thought), and outlook (what you believe). It’s not about pushing these to their extremes, but having them work together to support your main idea. 10) To find your voice, change your arena. The way we shape language is linked to our environment. You’ll speak differently to a 5,000-person audience than to your five best friends. You’re more likely to experiment when the stakes and visibility are low. Consider an unlisted page on your website. Or consider a pseudonym (Fernando Pessoa had 75 of them). 11) Write about less: A student once asked Umberto Eco for advice about how to write a thesis. He wanted to write about all the volcanoes in the world. Eco told him to narrow it down. How about all the active volcanoes in the world? Nope, there are 48 of them. Get more specific. “Okay, how about the Popocatépetl Volcano in Mexico?” Okay, that works. Pick one volcano and focus on that. 12) We should prepare for AI to get better than we can imagine. If AI gets “extraterrestrially good,” becomes hyper relevant, and can replicate us to uncanny degrees—will you still write your own sentences? If the answer is yes, you don’t need to panic every time a new model comes out. By imagining the extremes, it helps you understand the timeless parts of the practice. 13) AI's ability to help you write is constrained by how much information you give it. Michael says: “The more you write, the more personal and aligned the replica can be.” 14) Write your first draft for yourself, and write your second draft for your reader. 15) Paragraphs are the atomic unit of composition. We are traumatized by The Five Paragraph Essay and need better heuristics. Each paragraph can start with a frame to hook the reader and end with a reward. Do it over and over again, and you'll get a Reader's Trance. 16) By learning to write essays, you become a Writing Generalist. Most genres specialize, but the essay is a medium of fusion. It combines the soul of a memoirist, the rigor of a philosopher, the pen of a poet, the persuasion of a marketer, the research of a journalist, and the creativity of a novelist. I've shared the full conversation with Michael Dean below. Of course, you can watch it here, but if you'd like to watch it on YouTube or listen on Apple or Spotify, I've shared those links below.

David Perell

90,922 views • 1 year ago

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow
50:50

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow

Moon Dev

11,726 views • 6 months ago

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!
19:06

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

dom | icp

293,234 views • 3 months ago

Most social media tools suck. (I've tried them all over 7 years of doing this). They claim to help you go viral. They claim that you'll grow fast on social media. They claim that they'll make it easy on you, so you can just grow your following without having any form of skill or understanding. And now they're trying to go fully agentic, which only works if you know what you're doing (we'll talk about that later, we built the MCP for social media). Plus, when everyone has an advantage, it is no longer an advantage. I promise you, I love AI, but having it write everything for you, especially as a beginner, is a death sentence. You may get lucky and have one, two, or three posts do well. You may gain a lot of followers (because that's what they promise to get you to buy), but then what? Can you replicate it? Does your audience actually care about who you are? Or are you just a one hit wonder like every other creator who tries to get-followers-quick? The creators you love... the ones who put out ideas that actually change your life, understand that the creative process (capturing, resurfacing, and synthesizing ideas) is your competitive edge when everyone is racing to put out as much slop as possible. So we built an actual solution. For the people who know deep down that the toys and gimmicks being marketed to you aren't a long term strategy. It's called Eden. The second brain for creators. It has every scheduling, analytics, auto-dm, and outlier research (for all platforms) features that everyone else has - built by someone who knows what's useful and what's not. But it also has the ideation process built in, which cannot be skipped. Here's what it looks like, and how to write a post people actually care about: 1) Save inspiration from anywhere (and read + highlight) Capturing ideas, posts, links, and highlights inside of an agent or AI chat sounds like hell. Not everything needs to, or should be, jammed into a chat UI. In Eden you can: - Paste any social post link (we transcribe any post) - Integrate with Kindle, Snipd, or Readwise - Pull in X or Substack bookmarks - Jot down quick ideas or write inside docs - Open any YouTube transcript or article in Reader mode and highlight it We auto-categorize and tag everything for you, so our Deep Synthesis agent can find novel connections and relations across your library - making it easy to surface idaes you thought you lost. 2) Research what's working, study top creators Outlier tools are the bread and butter for every creator. When you do research for a YouTube video, you look for high performing titles and thumbnails, and you study what worked for others. But what about every other platform? We have a social corpus of 3m+ posts across all platforms and growing. You can scroll the Discover page for inspiration, search any creator and filter by top posts, or use Deep Social in the AI chat to search across all of them. This is what gives the MCP access to trending topics without scraping millions of posts yourself. 3) Create with everything in one place, build swipe files I don't think I will ever give up writing. I love sitting down in the morning, opening up a page, researching good ideas, and turning it into something worth sharing. In Eden, you work on Boards. You can paste social posts and build shareable swipe files, or you can add your outlines and drafts while having your library, chat, or ideas open right next to it. 4) Chat with anything to get the information you need Claude and ChatGPT are essential, but they are blind. They can't read social links. They can't see what's trending. When you're writing scripts, articles, posts, or drafts - you need to be able to pull information from the sources you research. In today's world, that usually means social posts, YouTube videos, and articles. 5) Draft, schedule, and publish to all platforms X, Instagram, LinkedIn, Substack, Threads, TikTok, and YouTube shorts. And yes, we are one of the first to support article scheduling to X and Substack. You don't have to copy paste to every platform anymore. You simply write, schedule, and let it go out to all platforms. 6) Or do it all from the MCP I don't believe that the future of content is fully agentic. But, that doesn't mean that AI can't help with researching top posts, ideation, and scheduling content. You do the writing and thinking, let AI handle the busy work and resurfacing of ideas you need to find. With Eden, you don't need to give up your Claude, Hermes, or other agentic workflows. You simply connect the MCP and now you can build your own agentic content system, if that's your cup of tea. Eden is the Social Media MCP. You don't have to pay for scrapers anymore. You can finally access trends, any social link, and any account. You can access your analytics, build content dashboards with our infrastructure (that you don't need to maintain as a full time job), and post. We've actually built 4 skills for deep topic research, personal brand strategy, building a content command center, and more - we'll link those below. All in all: If you're a creator, Eden is your base. It's where you write, research, and publish every single day. Try it free below:
1:00

Most social media tools suck. (I've tried them all over 7 years of doing this). They claim to help you go viral. They claim that you'll grow fast on social media. They claim that they'll make it easy on you, so you can just grow your following without having any form of skill or understanding. And now they're trying to go fully agentic, which only works if you know what you're doing (we'll talk about that later, we built the MCP for social media). Plus, when everyone has an advantage, it is no longer an advantage. I promise you, I love AI, but having it write everything for you, especially as a beginner, is a death sentence. You may get lucky and have one, two, or three posts do well. You may gain a lot of followers (because that's what they promise to get you to buy), but then what? Can you replicate it? Does your audience actually care about who you are? Or are you just a one hit wonder like every other creator who tries to get-followers-quick? The creators you love... the ones who put out ideas that actually change your life, understand that the creative process (capturing, resurfacing, and synthesizing ideas) is your competitive edge when everyone is racing to put out as much slop as possible. So we built an actual solution. For the people who know deep down that the toys and gimmicks being marketed to you aren't a long term strategy. It's called Eden. The second brain for creators. It has every scheduling, analytics, auto-dm, and outlier research (for all platforms) features that everyone else has - built by someone who knows what's useful and what's not. But it also has the ideation process built in, which cannot be skipped. Here's what it looks like, and how to write a post people actually care about: 1) Save inspiration from anywhere (and read + highlight) Capturing ideas, posts, links, and highlights inside of an agent or AI chat sounds like hell. Not everything needs to, or should be, jammed into a chat UI. In Eden you can: - Paste any social post link (we transcribe any post) - Integrate with Kindle, Snipd, or Readwise - Pull in X or Substack bookmarks - Jot down quick ideas or write inside docs - Open any YouTube transcript or article in Reader mode and highlight it We auto-categorize and tag everything for you, so our Deep Synthesis agent can find novel connections and relations across your library - making it easy to surface idaes you thought you lost. 2) Research what's working, study top creators Outlier tools are the bread and butter for every creator. When you do research for a YouTube video, you look for high performing titles and thumbnails, and you study what worked for others. But what about every other platform? We have a social corpus of 3m+ posts across all platforms and growing. You can scroll the Discover page for inspiration, search any creator and filter by top posts, or use Deep Social in the AI chat to search across all of them. This is what gives the MCP access to trending topics without scraping millions of posts yourself. 3) Create with everything in one place, build swipe files I don't think I will ever give up writing. I love sitting down in the morning, opening up a page, researching good ideas, and turning it into something worth sharing. In Eden, you work on Boards. You can paste social posts and build shareable swipe files, or you can add your outlines and drafts while having your library, chat, or ideas open right next to it. 4) Chat with anything to get the information you need Claude and ChatGPT are essential, but they are blind. They can't read social links. They can't see what's trending. When you're writing scripts, articles, posts, or drafts - you need to be able to pull information from the sources you research. In today's world, that usually means social posts, YouTube videos, and articles. 5) Draft, schedule, and publish to all platforms X, Instagram, LinkedIn, Substack, Threads, TikTok, and YouTube shorts. And yes, we are one of the first to support article scheduling to X and Substack. You don't have to copy paste to every platform anymore. You simply write, schedule, and let it go out to all platforms. 6) Or do it all from the MCP I don't believe that the future of content is fully agentic. But, that doesn't mean that AI can't help with researching top posts, ideation, and scheduling content. You do the writing and thinking, let AI handle the busy work and resurfacing of ideas you need to find. With Eden, you don't need to give up your Claude, Hermes, or other agentic workflows. You simply connect the MCP and now you can build your own agentic content system, if that's your cup of tea. Eden is the Social Media MCP. You don't have to pay for scrapers anymore. You can finally access trends, any social link, and any account. You can access your analytics, build content dashboards with our infrastructure (that you don't need to maintain as a full time job), and post. We've actually built 4 skills for deep topic research, personal brand strategy, building a content command center, and more - we'll link those below. All in all: If you're a creator, Eden is your base. It's where you write, research, and publish every single day. Try it free below:

DAN KOE

88,063 views • 2 days ago

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.
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Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Himanshu Kumar

37,638 views • 4 months ago