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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

DREAM.AI

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28,405 次观看 • 28 天前 •via X (Twitter)

NSFW #flightattendant #uniform #asianbabe #asiangirl #asianhotties #aiwaifu #aigirl #aiporn #aigenerated #nsfwai #nsfw #porn #adult #pov #blowjob

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📢 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.

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🚨 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 次观看 • 3 个月前

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 !

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

985,651 次观看 • 9 个月前

$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.$

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 次观看 • 1 年前

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

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 次观看 • 6 个月前

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!!

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

299,576 次观看 • 3 个月前