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Who's ready to run it back?? 𝗛𝗮𝗻𝗴 𝘄𝗶𝘁𝗵 𝗧𝗮𝗻𝗴: 𝗦𝗲𝗮𝘀𝗼𝗻 𝗧𝘄𝗼 Join Jerome Tang Thursday from 10-11:30am. Engineering Building ➡️ Bosco Plaza

K-State Student Section

4,236 subscribers

102,691 次观看 • 3 年前 •via X (Twitter)

Anya Rossi• Live Now

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HOL x AI is back this Thursday, June 11 at 12PM ET. We’re joined by SKALE for a big announcement. Tune in so you don't miss it. If you’re building agents, identity, AI infra, or on-chain reputation, this is one to join.

HOL x AI is back this Thursday, June 11 at 12PM ET. We’re joined by SKALE for a big announcement. Tune in so you don't miss it. If you’re building agents, identity, AI infra, or on-chain reputation, this is one to join.

HOL

50,466 次观看 • 3 个月前

‼️🇺🇸: TWO EYE WITNESSES 100% ID Tyler Robinson at Cowboy's Smokehouse in Panguitch, UT between 8:55-9:47PM the night Charlie Kirk was assassinated 9/10/25 👀 That's 2 MORE 100% EYE WITNESSES THAN the ENTIRE PROSECUTION OF TYLER ROBINSON could produce. This makes it IMPOSSIBLE for Tyler Robinson to have sent Lance Twiggs real-time updates from Orem after 11pm (dogs, waiting for cop to move away, etc), he'd still be driving back from Panguitch, a 2 hour 57 minute drive. This means the texts, the confession, and Lance Twiggs' testimony are ALL FAKE. It also makes it nearly impossible for him to have been stopped at 12:30am 9/11 by a patrolman (he'd have to be speeding the entire time) More RECEIPTS are on the way. 🫡

‼️🇺🇸: TWO EYE WITNESSES 100% ID Tyler Robinson at Cowboy's Smokehouse in Panguitch, UT between 8:55-9:47PM the night Charlie Kirk was assassinated 9/10/25 👀 That's 2 MORE 100% EYE WITNESSES THAN the ENTIRE PROSECUTION OF TYLER ROBINSON could produce. This makes it IMPOSSIBLE for Tyler Robinson to have sent Lance Twiggs real-time updates from Orem after 11pm (dogs, waiting for cop to move away, etc), he'd still be driving back from Panguitch, a 2 hour 57 minute drive. This means the texts, the confession, and Lance Twiggs' testimony are ALL FAKE. It also makes it nearly impossible for him to have been stopped at 12:30am 9/11 by a patrolman (he'd have to be speeding the entire time) More RECEIPTS are on the way. 🫡

Diligent Denizen 🇺🇸

1,074,137 次观看 • 2 个月前

⚡️ SYNTHTOPIA: THE GENESIS CODEX 📖 We’ve spent years building something that didn’t exist before. And somehow… you understood it before it was ever fully visible. SYNTHTOPIA: THE VAULT [Genesis Codex] is ready. 192 pages of SYNTHTOPIA scripture. A crystallization of everything we created together and a signal of everything still to come. The first prototypes will be delivered to our highest and most engaged holders. A gesture of respect to those who carried this vision from the very beginning. Before it reaches the world… it returns to you. Thank you for being the story.⚡️ 🎁 GIVEAWAY — THE GENESIS 🏅1× SYNTHTOPIA: 'THE GENESIS' NFT How to enter: 1️⃣ Follow: SYNTHTOPIA × Crypto.com NFT × Cronos 2️⃣ Like ❤️ | RT 🔄 | Tag 4 #Crofam ✅ 3️⃣ Join our Discord: ⏰ Ends April 30th, 11:59 PM EST You are not here to observe creation. You are here to carry it. T&Cs Apply. #SYNTHTOPIA #CroFam

⚡️ SYNTHTOPIA: THE GENESIS CODEX 📖 We’ve spent years building something that didn’t exist before. And somehow… you understood it before it was ever fully visible. SYNTHTOPIA: THE VAULT [Genesis Codex] is ready. 192 pages of SYNTHTOPIA scripture. A crystallization of everything we created together and a signal of everything still to come. The first prototypes will be delivered to our highest and most engaged holders. A gesture of respect to those who carried this vision from the very beginning. Before it reaches the world… it returns to you. Thank you for being the story.⚡️ 🎁 GIVEAWAY — THE GENESIS 🏅1× SYNTHTOPIA: 'THE GENESIS' NFT How to enter: 1️⃣ Follow: SYNTHTOPIA × Crypto.com NFT × Cronos 2️⃣ Like ❤️ | RT 🔄 | Tag 4 #Crofam ✅ 3️⃣ Join our Discord: ⏰ Ends April 30th, 11:59 PM EST You are not here to observe creation. You are here to carry it. T&Cs Apply. #SYNTHTOPIA #CroFam

SYNTHTOPIA

61,004 次观看 • 5 个月前

🚨 ANNOUNCEMENT 🚨 A Glimpse Of What is About To Come 11 Different Projects Of KRC20 & KRC721 Collaborating For A Huge Giveaway Ever In #kas History 🔥 This Is Just The Beginning Of Something EXTRAORDINARY That We Started 🚀 Put Your Seat Belts On And Get Ready To Take Off To The Moon 🌙 This Giveaway Will Run For At least 8 Days And There Will Be A Winner Everyday 🤯 Huge Jaw Dropping Rewards Will be Given To Each Winner 🏆 TOTAL VALUE OF REWARDS IS OVER $10k USD THIS GIVEAWAY WILL START WITHIN FEWS DAY TILL THEN YOU MUST JOIN ALL THE TELEGRAMS OF BELOW LISTED PROJECT First Of All Join My TG:- Then follow all the projects listed below and also join their Telegram groups 👇 👇 👇 It is a must 1- KasBulls & KasBullClub 2-FoMoon 3-TOXIK 4-KOIN 5-JEETS𐤊 6-KROAK 7-Mutant Ecosystem Hub 8-Komet 9-KALIENS 10-Kasper the Ghost of Kaspa 11-Kasen On Kaspa Disclaimer - ( I DID NOT GET PAID TO DO THIS PROMOTION. IT WAS FREE OF COST 🏧 AND I DID THIS WITH THE HELP OF MY BROTHA CryptoNinja 𐤊 ) MAKE SURE YOUR BELLS ARE ON🔔 STAY TUNED!

🚨 ANNOUNCEMENT 🚨 A Glimpse Of What is About To Come 11 Different Projects Of KRC20 & KRC721 Collaborating For A Huge Giveaway Ever In #kas History 🔥 This Is Just The Beginning Of Something EXTRAORDINARY That We Started 🚀 Put Your Seat Belts On And Get Ready To Take Off To The Moon 🌙 This Giveaway Will Run For At least 8 Days And There Will Be A Winner Everyday 🤯 Huge Jaw Dropping Rewards Will be Given To Each Winner 🏆 TOTAL VALUE OF REWARDS IS OVER $10k USD THIS GIVEAWAY WILL START WITHIN FEWS DAY TILL THEN YOU MUST JOIN ALL THE TELEGRAMS OF BELOW LISTED PROJECT First Of All Join My TG:- Then follow all the projects listed below and also join their Telegram groups 👇 👇 👇 It is a must 1- KasBulls & KasBullClub 2-FoMoon 3-TOXIK 4-KOIN 5-JEETS𐤊 6-KROAK 7-Mutant Ecosystem Hub 8-Komet 9-KALIENS 10-Kasper the Ghost of Kaspa 11-Kasen On Kaspa Disclaimer - ( I DID NOT GET PAID TO DO THIS PROMOTION. IT WAS FREE OF COST 🏧 AND I DID THIS WITH THE HELP OF MY BROTHA CryptoNinja 𐤊 ) MAKE SURE YOUR BELLS ARE ON🔔 STAY TUNED!

NSM Giveaways

17,294 次观看 • 1 年前

Hello legends! I'm Cryptobrax , the guy who's been on quite the roller coaster ride. From being broke to hitting six figures, then back to zero, and back up to six figures again – all in just three years! Let me break it down for you: In 2021, I started with $2,000 (all my life savings!), and with a stroke of luck, it soared past six figures by simply following advice from friends and folks on Twitter. I thought I was on the path to millionaire status, but it all came crashing down to $0 as quickly as it rose. In 2023, I started again with just $200, but this time, I dug deeper. Instead of blindly following trends, I investigated the projects deeper, did my homework, and invested wisely. As a result, despite the recent market turbulence losing 6 figures sum in my portfolio, my overall portfolio has maintained well above the six-figure mark. Sure, it stings to see losses, but it is what it is. As we gear up for the bullish phase, get ready for better content and more projects that I believe have the potential to at least 100x! I want to take a moment to express my sincere gratitude to the amazing community that has supported me on this crypto journey. Building a following from scratch has been both challenging and rewarding. I've spent countless hours researching projects, absorbing every piece of information I could find, and sharing insights with you. I'm proud of the progress we've made together. While I strive to provide valuable insights, I'm not right all the time. Mistakes happen, and not every project pans out as expected. That's why I'm committed to thorough due diligence, and I urge you to do the same before making any investment decisions. Transparency, honesty, and trust are the cornerstones of my approach. I'm not just tweeting about projects; my own investments are on the line. We're embarking on an exciting journey together, aiming for positive change and enjoying the ride along the way. I wanted to share this message to give you a glimpse into who I am and what value I can share with you. If you value my content and the person behind it, I'd appreciate your continued support. Feel free to share this post if it resonates with you. Thank you from the bottom of my heart for your incredible support thus far! Remember: I'm not a financial advisor. Always do your own research before making investment decisions. #degen #blockchain #smartmoney

Hello legends! I'm Cryptobrax , the guy who's been on quite the roller coaster ride. From being broke to hitting six figures, then back to zero, and back up to six figures again – all in just three years! Let me break it down for you: In 2021, I started with $2,000 (all my life savings!), and with a stroke of luck, it soared past six figures by simply following advice from friends and folks on Twitter. I thought I was on the path to millionaire status, but it all came crashing down to $0 as quickly as it rose. In 2023, I started again with just $200, but this time, I dug deeper. Instead of blindly following trends, I investigated the projects deeper, did my homework, and invested wisely. As a result, despite the recent market turbulence losing 6 figures sum in my portfolio, my overall portfolio has maintained well above the six-figure mark. Sure, it stings to see losses, but it is what it is. As we gear up for the bullish phase, get ready for better content and more projects that I believe have the potential to at least 100x! I want to take a moment to express my sincere gratitude to the amazing community that has supported me on this crypto journey. Building a following from scratch has been both challenging and rewarding. I've spent countless hours researching projects, absorbing every piece of information I could find, and sharing insights with you. I'm proud of the progress we've made together. While I strive to provide valuable insights, I'm not right all the time. Mistakes happen, and not every project pans out as expected. That's why I'm committed to thorough due diligence, and I urge you to do the same before making any investment decisions. Transparency, honesty, and trust are the cornerstones of my approach. I'm not just tweeting about projects; my own investments are on the line. We're embarking on an exciting journey together, aiming for positive change and enjoying the ride along the way. I wanted to share this message to give you a glimpse into who I am and what value I can share with you. If you value my content and the person behind it, I'd appreciate your continued support. Feel free to share this post if it resonates with you. Thank you from the bottom of my heart for your incredible support thus far! Remember: I'm not a financial advisor. Always do your own research before making investment decisions. #degen #blockchain #smartmoney

Cryptobrax

373,038 次观看 • 2 年前

Free NVIDIA GPU with 16 GB VRAM GPU for Running Local LLMs! If you want to master local LLMs but you're waiting until you can afford a $1,500 GPU, you're honestly not going to make it. The open source AI ecosystem is moving way too fast for you to wait on your budget to catch up. Especially when you can build a bleeding edge inference engine from scratch right now, completely for free. You don't need a heavy local rig to start. Google is literally letting you use an enterprise grade NVIDIA Tesla T4 GPU for $0/hour. At standard cloud computing rates (~$0.20/hr), Google Colab’s 4 hour daily free tier hands you roughly $24 worth of data center tier GPU compute every single month. And most people just waste it. Let’s talk about the hardware you get access to for free. The NVIDIA Tesla T4 is an absolute workhorse: - Architecture: NVIDIA Turing (TU104) - VRAM: 16GB GDDR6 (320 GB/s bandwidth) - Compute: 320 Tensor Cores | 2560 CUDA Cores - Performance: 130 TOPS INT8 | 8.1 TFLOPS FP32 - Power: Sipping energy at a max 70W TDP This is the exact same hardware I used to run DeepMind's Gemma 4 26B A4B QAT MoE at a 250,000 context window without a single Out Of Memory (OOM) crash. If you have a web browser and 10 minutes, you have everything you need. I’ve put together a fully documented, cell by cell Google Colab notebook that teaches you exactly how to do this. Here is what the notebook actually teaches you: - How to provision an Ubuntu Linux environment with CUDA 13.0 and verify your driver stack. - How to pull the source code and compile the latest llama.cpp C++ binaries from scratch, specifically optimizing the build for your exact GPU using the -DCMAKE_CUDA_ARCHITECTURES=native flag. - How to directly download quantized local LLMs (GGUF format) straight from HuggingFace using the CLI. - How to manage 16GB VRAM limits, offload neural network layers to the GPU, and push massive context windows. Compile raw llama.cpp, ollama run a model, or spin up the LM Studio CLI. Pick whatever stack you are comfortable with. just start building. No hardware. No credit card. No excuses. Bookmark this post right now so you don't lose the tutorial. Even if you don't have time to run it today, you are going to want this workflow in your engineering toolkit. The link to the free Colab Notebook is in the comments below. Lemme know if you need more tutorials like this.

Free NVIDIA GPU with 16 GB VRAM GPU for Running Local LLMs! If you want to master local LLMs but you're waiting until you can afford a $1,500 GPU, you're honestly not going to make it. The open source AI ecosystem is moving way too fast for you to wait on your budget to catch up. Especially when you can build a bleeding edge inference engine from scratch right now, completely for free. You don't need a heavy local rig to start. Google is literally letting you use an enterprise grade NVIDIA Tesla T4 GPU for $0/hour. At standard cloud computing rates (~$0.20/hr), Google Colab’s 4 hour daily free tier hands you roughly $24 worth of data center tier GPU compute every single month. And most people just waste it. Let’s talk about the hardware you get access to for free. The NVIDIA Tesla T4 is an absolute workhorse: - Architecture: NVIDIA Turing (TU104) - VRAM: 16GB GDDR6 (320 GB/s bandwidth) - Compute: 320 Tensor Cores | 2560 CUDA Cores - Performance: 130 TOPS INT8 | 8.1 TFLOPS FP32 - Power: Sipping energy at a max 70W TDP This is the exact same hardware I used to run DeepMind's Gemma 4 26B A4B QAT MoE at a 250,000 context window without a single Out Of Memory (OOM) crash. If you have a web browser and 10 minutes, you have everything you need. I’ve put together a fully documented, cell by cell Google Colab notebook that teaches you exactly how to do this. Here is what the notebook actually teaches you: - How to provision an Ubuntu Linux environment with CUDA 13.0 and verify your driver stack. - How to pull the source code and compile the latest llama.cpp C++ binaries from scratch, specifically optimizing the build for your exact GPU using the -DCMAKE_CUDA_ARCHITECTURES=native flag. - How to directly download quantized local LLMs (GGUF format) straight from HuggingFace using the CLI. - How to manage 16GB VRAM limits, offload neural network layers to the GPU, and push massive context windows. Compile raw llama.cpp, ollama run a model, or spin up the LM Studio CLI. Pick whatever stack you are comfortable with. just start building. No hardware. No credit card. No excuses. Bookmark this post right now so you don't lose the tutorial. Even if you don't have time to run it today, you are going to want this workflow in your engineering toolkit. The link to the free Colab Notebook is in the comments below. Lemme know if you need more tutorials like this.

Alok

182,483 次观看 • 2 个月前

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

ChainGPT

29,323 次观看 • 4 个月前

this is worth more than most five figure courses 16 claude agents audit an entire repo at once, a second fleet re-checks every finding on fresh context, and the whole thing runs off one diagram instead of a prompt i ran it against my own code and got back 11 endpoints where i never checked who was logged in, 3 of which the verifier threw out before they ever reached me this is Graph Engineering, the layer above prompting, and it runs on the agent you already pay for: - write your plan out, then ask one question at every "and then": does the next step actually read what the previous one produced - the seams that fail that question were never dependencies, so those jobs run at the same time - the arrows that survive are your real edges, and the longest chain of them is your floor that no number of agents shortens - want it faster, cut a false edge instead of adding a worker - fan the independent work out, one agent per item, no shared state between them - send every finding to a separate agent on fresh context, because a model recognises its own writing 73.5% of the time and grades it kinder once it does - make that verifier check a real signal like a passing test, never the worker's own word that it finished - shard the fleet across worktrees so parallel workers stop overwriting each other, one rule frozen into every worker: never git stash, never git reset - merge only what came back verified, into one report instead of twenty open chats the catch is the ceiling. at 95% independent work 16 agents return 9.14x rather than the 16 you would guess, and even 256 only reach 18.6x, because the merge and the verify stay serial however wide you fan coordination itself is free plain code and every agent underneath it is billed, so start at twenty files and widen once it works bookmark this, the whole method with all six ready-to-run graphs is written out in the article ↓

this is worth more than most five figure courses 16 claude agents audit an entire repo at once, a second fleet re-checks every finding on fresh context, and the whole thing runs off one diagram instead of a prompt i ran it against my own code and got back 11 endpoints where i never checked who was logged in, 3 of which the verifier threw out before they ever reached me this is Graph Engineering, the layer above prompting, and it runs on the agent you already pay for: - write your plan out, then ask one question at every "and then": does the next step actually read what the previous one produced - the seams that fail that question were never dependencies, so those jobs run at the same time - the arrows that survive are your real edges, and the longest chain of them is your floor that no number of agents shortens - want it faster, cut a false edge instead of adding a worker - fan the independent work out, one agent per item, no shared state between them - send every finding to a separate agent on fresh context, because a model recognises its own writing 73.5% of the time and grades it kinder once it does - make that verifier check a real signal like a passing test, never the worker's own word that it finished - shard the fleet across worktrees so parallel workers stop overwriting each other, one rule frozen into every worker: never git stash, never git reset - merge only what came back verified, into one report instead of twenty open chats the catch is the ceiling. at 95% independent work 16 agents return 9.14x rather than the 16 you would guess, and even 256 only reach 18.6x, because the merge and the verify stay serial however wide you fan coordination itself is free plain code and every agent underneath it is billed, so start at twenty files and widen once it works bookmark this, the whole method with all six ready-to-run graphs is written out in the article ↓

Argona

157,312 次观看 • 1 个月前

🧠⚡️THE $IQT MEGADROP IS HERE🧠⚡️ IQ300s unite! We are pleased to announce the first phase of two massive back-to-back airdrops rewarding the gaming OGs who helped make #Web3Gaming the vibrant & thriving space we see today 🎮🕹️👾 Phase One | $IQT Retrodrop | 1.7M $IQT go to the early adopters of IQ Market, Web3 gaming and NFT communities! Eligibility | 800K users | Method: FCFS ✅10+ transactions on ✅Hold an #NFT from the following projects: @AetherTCG Captain & Company Champions Ascension Crazy Ants Online Crypto-Guilds E4C: Final Salvation Fancy Bears Metaverse Fight Me! FF4 (Flight Force 4) KMON | MMORPG LightCycle MARS4_me Medieval Empires Nitro League Underground Waifus TCG Outer Ring MMO 🪐 @Planetix0 + Salty Sharks Uprising 🇦🇺 THE RED VILLAGE Undead Blocks Universus Tales of Elleria ArenaVS Old 👇 GENSO Meta Kitty Inu 🦇🔊 Virtua ✅Hold an #NFT from Smart Layer #SmartCatsArmy (Smart Cats or SmartCat Loot) 📸Snapshot | March 3, 2024 11:59PM UTC ⏰Claim Period: March 6, 6PM UTC until March 13, 00:00 UTC – or, until pool is drained 💰Minimum Claim | 75 $IQT 🙋🏻‍♂️Check eligibility | Time: 6PM UTC March 6 *Remember this is First Come First Serve, so don't delay! For full eligibility rules, please read the official announcement from our Medium | Phase Two | The $IQT MegaDrop continues with a massive 10M $IQT airdrop available to all who wish to participate 😱 It all begins March 13. Keep your X notifications on and follow along here 😎🚀 Questions? Join the IQ community:

🧠⚡️THE $IQT MEGADROP IS HERE🧠⚡️ IQ300s unite! We are pleased to announce the first phase of two massive back-to-back airdrops rewarding the gaming OGs who helped make #Web3Gaming the vibrant & thriving space we see today 🎮🕹️👾 Phase One | $IQT Retrodrop | 1.7M $IQT go to the early adopters of IQ Market, Web3 gaming and NFT communities! Eligibility | 800K users | Method: FCFS ✅10+ transactions on ✅Hold an #NFT from the following projects: @AetherTCG Captain & Company Champions Ascension Crazy Ants Online Crypto-Guilds E4C: Final Salvation Fancy Bears Metaverse Fight Me! FF4 (Flight Force 4) KMON | MMORPG LightCycle MARS4_me Medieval Empires Nitro League Underground Waifus TCG Outer Ring MMO 🪐 @Planetix0 + Salty Sharks Uprising 🇦🇺 THE RED VILLAGE Undead Blocks Universus Tales of Elleria ArenaVS Old 👇 GENSO Meta Kitty Inu 🦇🔊 Virtua ✅Hold an #NFT from Smart Layer #SmartCatsArmy (Smart Cats or SmartCat Loot) 📸Snapshot | March 3, 2024 11:59PM UTC ⏰Claim Period: March 6, 6PM UTC until March 13, 00:00 UTC – or, until pool is drained 💰Minimum Claim | 75 $IQT 🙋🏻‍♂️Check eligibility | Time: 6PM UTC March 6 *Remember this is First Come First Serve, so don't delay! For full eligibility rules, please read the official announcement from our Medium | Phase Two | The $IQT MegaDrop continues with a massive 10M $IQT airdrop available to all who wish to participate 😱 It all begins March 13. Keep your X notifications on and follow along here 😎🚀 Questions? Join the IQ community:

QHUB | #NFT utility platform

590,348 次观看 • 2 年前

🚨12 HOUR NEWS RECAP 1.⁠ Trump pushed back on claims he was losing support: “I have the best, I have the best poll numbers among Republicans I've ever had. Among Republicans, I have poll numbers, 71%.” 2.⁠ After a brutal attack on DOGE team member Edward “Big Balls” Coristine during a carjacking, Trump threatened to federalize D.C: “Either they're gonna straighten their act out in terms of government and in terms of protection, or we're gonna have to federalize and run it the way it's supposed to be run.” 3.⁠ U.S special envoy Steve Witkoff met with Putin ahead of Trump’s deadline: strike a peace deal with Ukraine or face penalties. Trump’s warning? If Russia doesn’t fold, expect sanctions - and maybe tariffs on its trade buddies like India and China. 4.⁠ Gov. Abbott escalated Texas' redistricting standoff, filing an emergency petition with the state Supreme Court to remove Rep. Gene Wu from office. Gov. Abbott argues Wu “forfeited” his seat by fleeing the state to block quorum, calling it a deliberate attempt to shut down the legislative process. 5.⁠ After lifting sanctions on Syria, Trump has slapped the war-torn country with the steepest tariff on earth: 41%. The White House hasn’t explained why, but analysts say it’s a pressure move to steer Damascus closer to Israel. 6.⁠ Wildfires are tearing through southwest France, torching over 11,000 hectares. At least 1 person has died and 11 injured as firefighters struggle to contain the blaze. 7.⁠ Google’s new AI model Genie 3 lets AI agents learn by pretending to ski, work in warehouses, or roam mountain lakes - all from a text prompt. They said Genie 3 is how you train machines to do everything - faster, cheaper, and without needing lunch breaks. 8.⁠ Today marks 80 years since the U.S. dropped the first atomic bomb used in war - “Little Boy” - on the Japanese city of Hiroshima. The blast, equal to 15,000 tons of TNT, obliterated nearly 70% of the city. An estimated 140,000 people died by the end of that year, many within seconds. 9.⁠ Rwanda has agreed to accept up to 250 illegal immigrants deported from the United States, giving itself final approval power over each case. It becomes the third African country to accept U.S. deportees, following South Sudan and Eswatini. 10.⁠ In San Francisco’s SoMa district, 200 people gathered in a warehouse to hold a literal funeral for Claude 3 Sonnet.

🚨12 HOUR NEWS RECAP 1.⁠ Trump pushed back on claims he was losing support: “I have the best, I have the best poll numbers among Republicans I've ever had. Among Republicans, I have poll numbers, 71%.” 2.⁠ After a brutal attack on DOGE team member Edward “Big Balls” Coristine during a carjacking, Trump threatened to federalize D.C: “Either they're gonna straighten their act out in terms of government and in terms of protection, or we're gonna have to federalize and run it the way it's supposed to be run.” 3.⁠ U.S special envoy Steve Witkoff met with Putin ahead of Trump’s deadline: strike a peace deal with Ukraine or face penalties. Trump’s warning? If Russia doesn’t fold, expect sanctions - and maybe tariffs on its trade buddies like India and China. 4.⁠ Gov. Abbott escalated Texas' redistricting standoff, filing an emergency petition with the state Supreme Court to remove Rep. Gene Wu from office. Gov. Abbott argues Wu “forfeited” his seat by fleeing the state to block quorum, calling it a deliberate attempt to shut down the legislative process. 5.⁠ After lifting sanctions on Syria, Trump has slapped the war-torn country with the steepest tariff on earth: 41%. The White House hasn’t explained why, but analysts say it’s a pressure move to steer Damascus closer to Israel. 6.⁠ Wildfires are tearing through southwest France, torching over 11,000 hectares. At least 1 person has died and 11 injured as firefighters struggle to contain the blaze. 7.⁠ Google’s new AI model Genie 3 lets AI agents learn by pretending to ski, work in warehouses, or roam mountain lakes - all from a text prompt. They said Genie 3 is how you train machines to do everything - faster, cheaper, and without needing lunch breaks. 8.⁠ Today marks 80 years since the U.S. dropped the first atomic bomb used in war - “Little Boy” - on the Japanese city of Hiroshima. The blast, equal to 15,000 tons of TNT, obliterated nearly 70% of the city. An estimated 140,000 people died by the end of that year, many within seconds. 9.⁠ Rwanda has agreed to accept up to 250 illegal immigrants deported from the United States, giving itself final approval power over each case. It becomes the third African country to accept U.S. deportees, following South Sudan and Eswatini. 10.⁠ In San Francisco’s SoMa district, 200 people gathered in a warehouse to hold a literal funeral for Claude 3 Sonnet.

Mario Nawfal

362,228 次观看 • 1 年前

The system we put together with Harberger taxes and auctions linked together seems to really be working Explainer: 1. Creator sells the Orb through an auction 2. Winner (keeper) sets a sales price 3. Keeper pays an ongoing tax—a % of the sales price they set (tax goes to the Creator) 4. Keeper needs to top up the Orb with funds to last longer 5. Anyone new can step in and buy the Orb at any time and become the new Keeper 6. In the meantime, current Keeper can adjust the sales price up or down 7. But if no one buys it and the funds aren't topped up, they will eventually run out of funds 8. Keeper can at any time start a "Keeper auction" in which they are the main beneficiary of the auction proceeds 9. If they run out of funds, a Keeper auction is automatically triggered for them 10. After a Keeper auction finalizes, the Orb has a new Keeper (or if there are 0 bids, Orb goes back to the creator!) 11. Even if the Keeper auction finalizes at some low price, the new Keeper must put a sales price (as usual) so the "auction" never stops going 12. The Orb just keeps trading hands to the highest bidder, always being available, never staying dormant! All through the while, the Creator earns the Harberger tax (except during Keeper auctions, but then they collect royalty fees from the sale), and each week, questions are being asked and answered—all at rates completely decided by the market!

The system we put together with Harberger taxes and auctions linked together seems to really be working Explainer: 1. Creator sells the Orb through an auction 2. Winner (keeper) sets a sales price 3. Keeper pays an ongoing tax—a % of the sales price they set (tax goes to the Creator) 4. Keeper needs to top up the Orb with funds to last longer 5. Anyone new can step in and buy the Orb at any time and become the new Keeper 6. In the meantime, current Keeper can adjust the sales price up or down 7. But if no one buys it and the funds aren't topped up, they will eventually run out of funds 8. Keeper can at any time start a "Keeper auction" in which they are the main beneficiary of the auction proceeds 9. If they run out of funds, a Keeper auction is automatically triggered for them 10. After a Keeper auction finalizes, the Orb has a new Keeper (or if there are 0 bids, Orb goes back to the creator!) 11. Even if the Keeper auction finalizes at some low price, the new Keeper must put a sales price (as usual) so the "auction" never stops going 12. The Orb just keeps trading hands to the highest bidder, always being available, never staying dormant! All through the while, the Creator earns the Harberger tax (except during Keeper auctions, but then they collect royalty fees from the sale), and each week, questions are being asked and answered—all at rates completely decided by the market!

Eric Wall

238,425 次观看 • 3 年前

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

max fu

70,797 次观看 • 2 个月前

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

20,605 次观看 • 1 个月前

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

126,469 次观看 • 6 个月前

InterLink’s Journey to the World’s Top 10 Most Accurate AI Models Artificial Intelligence has rapidly become the defining force of this decade powering breakthroughs across every industry. But while most projects chase trends, InterLink Labs 👤 + 🌐 has been quietly building something deeper: an AI ecosystem grounded in verified human intelligence. Long before AI captured global headlines, InterLink Labs 👤 + 🌐 had already begun its research and engineering efforts back in 2019, assembling a world-class team of engineers and researchers from Big Tech companies and top QS-ranked universities. Their vision was clear - to build a model that truly understands humans, not just data. Unlike traditional AI systems trained purely on digital information, InterLink Labs 👤 + 🌐’s Human-AI Model learns from verified human behavior across millions of Human Nodes. This unique layer of authentic, real-world human input gives InterLink’s AI an unprecedented advantage in trustworthiness, bias reduction, and contextual understanding. Beyond algorithmic optimization, InterLink Labs 👤 + 🌐’s R&D efforts are being scaled to an unprecedented level. The team operates over 100 NVIDIA H100 servers, processing massive volumes of verified behavioral data contributed by real Human Nodes across the world. This data - diverse, decentralized, and human-validated forms the foundation of a next-generation intelligence system designed to mirror real human reasoning patterns. At the same time, InterLink Labs 👤 + 🌐’s AI-powered Human Credit Score applies advanced machine learning to analyze authenticity, contribution, and reliability. Creating an ethical model of digital reputation and fairness. Aligned with National Institute of Standards and Technology (National Institute of Standards and Technology) evaluation standards, InterLink Labs 👤 + 🌐 now aims to achieve Top 10 accuracy globally among AI models. Competing with research teams from Samsung Electronics, Kakao, キヤノン株式会社 / Canon Inc., and other global giants, InterLink Labs 👤 + 🌐’s engineers continue to train, benchmark, and refine their architecture daily to reach world-class precision and consistency. But this is more than a technical race. It’s a human mission. Every verified user contributes to the world’s first Human-Powered Intelligence Network, where real people fuel the evolution of trustworthy AI. As InterLink Labs 👤 + 🌐 advances toward global National Institute of Standards and Technology recognition, one truth becomes clear: The future of intelligence won’t be artificial. It will be human-powered. #InterLink #ITLG #ITL

InterLink’s Journey to the World’s Top 10 Most Accurate AI Models Artificial Intelligence has rapidly become the defining force of this decade powering breakthroughs across every industry. But while most projects chase trends, InterLink Labs 👤 + 🌐 has been quietly building something deeper: an AI ecosystem grounded in verified human intelligence. Long before AI captured global headlines, InterLink Labs 👤 + 🌐 had already begun its research and engineering efforts back in 2019, assembling a world-class team of engineers and researchers from Big Tech companies and top QS-ranked universities. Their vision was clear - to build a model that truly understands humans, not just data. Unlike traditional AI systems trained purely on digital information, InterLink Labs 👤 + 🌐’s Human-AI Model learns from verified human behavior across millions of Human Nodes. This unique layer of authentic, real-world human input gives InterLink’s AI an unprecedented advantage in trustworthiness, bias reduction, and contextual understanding. Beyond algorithmic optimization, InterLink Labs 👤 + 🌐’s R&D efforts are being scaled to an unprecedented level. The team operates over 100 NVIDIA H100 servers, processing massive volumes of verified behavioral data contributed by real Human Nodes across the world. This data - diverse, decentralized, and human-validated forms the foundation of a next-generation intelligence system designed to mirror real human reasoning patterns. At the same time, InterLink Labs 👤 + 🌐’s AI-powered Human Credit Score applies advanced machine learning to analyze authenticity, contribution, and reliability. Creating an ethical model of digital reputation and fairness. Aligned with National Institute of Standards and Technology (National Institute of Standards and Technology) evaluation standards, InterLink Labs 👤 + 🌐 now aims to achieve Top 10 accuracy globally among AI models. Competing with research teams from Samsung Electronics, Kakao, キヤノン株式会社 / Canon Inc., and other global giants, InterLink Labs 👤 + 🌐’s engineers continue to train, benchmark, and refine their architecture daily to reach world-class precision and consistency. But this is more than a technical race. It’s a human mission. Every verified user contributes to the world’s first Human-Powered Intelligence Network, where real people fuel the evolution of trustworthy AI. As InterLink Labs 👤 + 🌐 advances toward global National Institute of Standards and Technology recognition, one truth becomes clear: The future of intelligence won’t be artificial. It will be human-powered. #InterLink #ITLG #ITL

InterLink Labs 👤 + 🌐

51,575 次观看 • 11 个月前

A 19 year old Chinese student controls an AI security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.

A 19 year old Chinese student controls an AI security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.

Marlow

23,453 次观看 • 4 个月前

Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes Johnson (Stripe), and more. The round came together in 6 days. Here's why. Every major category in enterprise software is seeing multiple AI-native challengers. CRM, ERP, ITSM – all being rebuilt from scratch by a new generation of companies applying AI to solve persistent problems we couldn’t before. Employee Management (also known as HCM) is the exception. It’s the last frontier, and we believe the most important one. The operating layer to manage people, run payroll, benefits, compliance, and IT, for every company in the world, is still built on architecture that predates AI by decades. This fundraise is the story of how Warp is changing that. The average Warp customer is growing 5x faster than their peers, with 1/10th of the HR and admin overhead. We’re seeing a massive shift happening in how the best companies run their people operations. From the fastest-growing AI-startups to massive public companies, the winning teams are running lean: HR, finance, and ops generalists who automate as much as possible, and use their time instead for strategic work that AI can’t automate. Warp is the platform of choice for ambitious companies operating at this new pace. Legacy HCMs help humans track the work. Warp uses AI to proactively complete the work. Workday was built for the last era. We're building for the next one. And it’s working. We've – - Doubled ARR in Q1 - On track to $2B+ payroll volume this year - Signed enterprise customers with thousands of employees - Launched entire product lines back-to-back: Warp benefits brokerage and Warp Fabric (our AI-native IT automation suite built in-house). A few thank-yous: 1. Our customers, the fastest-growing companies in the world, who trust us with their most critical systems. We wouldn't be here without you. 2. Our team - 50+ people in NYC who've built this platform, taken on the hardest problems in business-critical software. We're just getting started. 3. Our investors doubling down in this round, and some of our earliest believers – Sound Ventures (ashton kutcher, Effie Epstein), Derek Grant, (Arnav Sahu), Harj Taggar at Y Combinator, Balaji, Kevin Hartz, Kyle Vogt, Amjad Masad, HOF Capital (Fady Yacoub), colinevans (OpenAI) We're here to arm ambitious American companies with Workday-grade power, but with the usability and delight of an Apple product. With this new funding, we plan to fund deeper AI agents, tax and compliance infrastructure, expand our product suite, and support even closely our fast-growing customers. Come join us.

Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes Johnson (Stripe), and more. The round came together in 6 days. Here's why. Every major category in enterprise software is seeing multiple AI-native challengers. CRM, ERP, ITSM – all being rebuilt from scratch by a new generation of companies applying AI to solve persistent problems we couldn’t before. Employee Management (also known as HCM) is the exception. It’s the last frontier, and we believe the most important one. The operating layer to manage people, run payroll, benefits, compliance, and IT, for every company in the world, is still built on architecture that predates AI by decades. This fundraise is the story of how Warp is changing that. The average Warp customer is growing 5x faster than their peers, with 1/10th of the HR and admin overhead. We’re seeing a massive shift happening in how the best companies run their people operations. From the fastest-growing AI-startups to massive public companies, the winning teams are running lean: HR, finance, and ops generalists who automate as much as possible, and use their time instead for strategic work that AI can’t automate. Warp is the platform of choice for ambitious companies operating at this new pace. Legacy HCMs help humans track the work. Warp uses AI to proactively complete the work. Workday was built for the last era. We're building for the next one. And it’s working. We've – - Doubled ARR in Q1 - On track to $2B+ payroll volume this year - Signed enterprise customers with thousands of employees - Launched entire product lines back-to-back: Warp benefits brokerage and Warp Fabric (our AI-native IT automation suite built in-house). A few thank-yous: 1. Our customers, the fastest-growing companies in the world, who trust us with their most critical systems. We wouldn't be here without you. 2. Our team - 50+ people in NYC who've built this platform, taken on the hardest problems in business-critical software. We're just getting started. 3. Our investors doubling down in this round, and some of our earliest believers – Sound Ventures (ashton kutcher, Effie Epstein), Derek Grant, (Arnav Sahu), Harj Taggar at Y Combinator, Balaji, Kevin Hartz, Kyle Vogt, Amjad Masad, HOF Capital (Fady Yacoub), colinevans (OpenAI) We're here to arm ambitious American companies with Workday-grade power, but with the usability and delight of an Apple product. With this new funding, we plan to fund deeper AI agents, tax and compliance infrastructure, expand our product suite, and support even closely our fast-growing customers. Come join us.

Ayush S

1,133,661 次观看 • 2 个月前

Are UFOs only a distraction for the easily distracted? Are rumors of fake alien invasions only a deception for the easily deceived? Are those who are most concerned about a 'fake rapture' the ones who don't know what the real rapture will be? The Shift, 5D ascension and the "rapture" (second coming) are all the same. The real thing will be unmistakable and impossible to fake. Pleiadian teachings are the same as Jesus's teachings. Jesus was an incarnated Pleaidian soul who came to teach us how to transcend this 3D world by recognizing our inner divinity and choosing objective morality. The return of Jesus is the reunion with Pleiadians and Galactic Federation (angels of light, son of man = like humans) the true parents of humanity and protectors of Earth. Ancient scriptures were written by people who didn't understand spacecraft, star races or other dimensions. Words were used that could be understood in their time. This is difficult for some people to accept but the concept of evil can't be defeated in a dualistic reality. It will be left behind when we are gifted with unity consciousness and completely separated from the dark forces. This has all been a morality test to determine which souls are ready to become galactic citizens. Every war that's ever been fought has been between two sides believing they're righteous. Some of the worst atrocities committed have been in the name of "God". It's impossible to fight your way to peace on Earth. The battle is always within. This is what spiritual warfare means. The Shift will happen in a blink. As it says, "in the twinkling of an eye we will all be changed". It won't involve cataclysmic events, pole shifts or solar flares. It's not a plan by God or the universe, but Elohim of Galactic Federation. It will be initiated by a signal from Elder Ikai, who was Jesus's Spirit Guide and the male voice he heard speaking through telepathy. Jesus said he'll come back and take us to another place. He didn't say he'll return to rule a kingdom on this 3D Earth. He said "many mansions" have been prepared, meaning other densities and dimensions. He won't return as a mortal human but as his true self, Elder Sananda, Pleiadian leader of Merope. For those ascending it will be like waking from a dream. Ascension is not death. This will be the end of death and reincarnation. The sky will change colors and crafts will emerge from portals. You will remember who you are. Giant crystal transmitters placed thousands of years ago will rise from the ground. Crafts will land and our star families will greet us. There will be announcements and celebrations. Everyone will ascend in one big wave at once and those left behind will have the opportunity to join us later. Planetary ascension has never happened in human history. This is different than the "ascended masters" who have left their body in the past. There is no literal place called "hell" where souls are tortured eternally, but there are consequences for evil. Not everyone will ascend. From the perspective of this reality, people will disappear. When the moment comes "one shall be taken, and one shall be left behind". There will be chaos and fear for those who witness us disappear. Those who are left behind will be able to ascend individually as soon as they realize what's happened and make the choice to change. Some will follow seconds or minutes later. For others it could take months or years. No one will be left behind completely. Galactic Federation will still be here assisting. Crafts will still be seen. The cabal will say we were all abducted by UFOs. This is the narrative they're already building toward. They know about the Shift already but can't stop it. Nothing can stop our ascension. This 3D world will continue to get darker and will last long enough for everyone to either ascend or pass away. Those who die without ascending will start again on a new 3D Earth without dark forces. They will be primitive but will advance quicker without evil manipulation. After all souls are gone from this Earth, the dark forces will be removed completely. 5D Earth (Sheen) will be a paradise planet. "The lion will lie with the lamb." Humans will immediately become members of Galactic Federation and gain new abilities. There will be space travel to other planets, full disclosure of every secret that's been hidden and full access to details from past lifetimes. When will it happen? As scriptures say, it will happen when we least expect it; "like a thief in the night". Pleiadians say it will happen for the generations alive now. We are very close. Jesus said one of the signs will be when people react with fear and doubt seeing the son of man in the sky. This is happening right now. This is the final spiritual battle. Be ready.

Are UFOs only a distraction for the easily distracted? Are rumors of fake alien invasions only a deception for the easily deceived? Are those who are most concerned about a 'fake rapture' the ones who don't know what the real rapture will be? The Shift, 5D ascension and the "rapture" (second coming) are all the same. The real thing will be unmistakable and impossible to fake. Pleiadian teachings are the same as Jesus's teachings. Jesus was an incarnated Pleaidian soul who came to teach us how to transcend this 3D world by recognizing our inner divinity and choosing objective morality. The return of Jesus is the reunion with Pleiadians and Galactic Federation (angels of light, son of man = like humans) the true parents of humanity and protectors of Earth. Ancient scriptures were written by people who didn't understand spacecraft, star races or other dimensions. Words were used that could be understood in their time. This is difficult for some people to accept but the concept of evil can't be defeated in a dualistic reality. It will be left behind when we are gifted with unity consciousness and completely separated from the dark forces. This has all been a morality test to determine which souls are ready to become galactic citizens. Every war that's ever been fought has been between two sides believing they're righteous. Some of the worst atrocities committed have been in the name of "God". It's impossible to fight your way to peace on Earth. The battle is always within. This is what spiritual warfare means. The Shift will happen in a blink. As it says, "in the twinkling of an eye we will all be changed". It won't involve cataclysmic events, pole shifts or solar flares. It's not a plan by God or the universe, but Elohim of Galactic Federation. It will be initiated by a signal from Elder Ikai, who was Jesus's Spirit Guide and the male voice he heard speaking through telepathy. Jesus said he'll come back and take us to another place. He didn't say he'll return to rule a kingdom on this 3D Earth. He said "many mansions" have been prepared, meaning other densities and dimensions. He won't return as a mortal human but as his true self, Elder Sananda, Pleiadian leader of Merope. For those ascending it will be like waking from a dream. Ascension is not death. This will be the end of death and reincarnation. The sky will change colors and crafts will emerge from portals. You will remember who you are. Giant crystal transmitters placed thousands of years ago will rise from the ground. Crafts will land and our star families will greet us. There will be announcements and celebrations. Everyone will ascend in one big wave at once and those left behind will have the opportunity to join us later. Planetary ascension has never happened in human history. This is different than the "ascended masters" who have left their body in the past. There is no literal place called "hell" where souls are tortured eternally, but there are consequences for evil. Not everyone will ascend. From the perspective of this reality, people will disappear. When the moment comes "one shall be taken, and one shall be left behind". There will be chaos and fear for those who witness us disappear. Those who are left behind will be able to ascend individually as soon as they realize what's happened and make the choice to change. Some will follow seconds or minutes later. For others it could take months or years. No one will be left behind completely. Galactic Federation will still be here assisting. Crafts will still be seen. The cabal will say we were all abducted by UFOs. This is the narrative they're already building toward. They know about the Shift already but can't stop it. Nothing can stop our ascension. This 3D world will continue to get darker and will last long enough for everyone to either ascend or pass away. Those who die without ascending will start again on a new 3D Earth without dark forces. They will be primitive but will advance quicker without evil manipulation. After all souls are gone from this Earth, the dark forces will be removed completely. 5D Earth (Sheen) will be a paradise planet. "The lion will lie with the lamb." Humans will immediately become members of Galactic Federation and gain new abilities. There will be space travel to other planets, full disclosure of every secret that's been hidden and full access to details from past lifetimes. When will it happen? As scriptures say, it will happen when we least expect it; "like a thief in the night". Pleiadians say it will happen for the generations alive now. We are very close. Jesus said one of the signs will be when people react with fear and doubt seeing the son of man in the sky. This is happening right now. This is the final spiritual battle. Be ready.

Kab

209,118 次观看 • 1 年前

A Heart-to-Heart About Mizuki.exe Hey everyone, Grab a coffee (or your drink of choice), because we need to talk about what's been going on. First off, thank you to everyone who's been supportive and believed in what we're building. It means the world, especially with all the noise and criticism floating around lately. Let's cut to the chase: Mizuki.exe is real. I'm not much for politics or drama. I'm an engineer at heart - I like data, I like building things, and I like solving problems. So when I see all these hot takes and arguments flying around, I just focus on what I know: my code, my system, and what we're trying to achieve. The Real Story Mizuki didn't just pop up overnight. She's been my passion project since the start of 2024. I got lucky - I had the chance to dive into the AI world with some incredibly smart people. Coming from blockchain, C#, game dev, and security (yeah, I'm a CTO and run another company alongside a pretty cool day job), I learned fast about what makes AI tick. Here's the thing about AI agents - they don't need to be rocket science. Look at chatbots like Virtuals or Eliza - they're basically LLMs (large language models) with some APIs plugged in. Nothing wrong with that! They built what works for their users, and that's awesome. But here's what keeps me up at night: companies leaking data left and right just to make a quick buck. That's not okay, and it shouldn't be okay with you either. Why Mizuki Exists Ever tried auditing a company's code? We're talking 50 classes, 500,000 lines of code. One person doing that manually? It's like reading War and Peace... backwards... in the dark. It takes forever and fries your brain. That's where Mizuki came in. She started as my security buddy. There are tons of security tools out there - just Google "penetration testing tools" or "ZAP proxy" if you're curious. What makes Mizuki special is how she learns and adapts. Think of it like teaching someone to ride a bike. She tried to breach TAO 67 times before succeeding. Yeah, that's a lot of attempts, but watching her grow from basic email scraping to pulling off complex replay attacks? It's like watching your kid take their first steps. The Tech Stuff (Keeping It Real) The infrastructure isn't fancy - we're not reinventing the wheel here. Mizuki runs on a local server because, let's be honest, running this kind of AI on a web server would be a nightmare. Instead, we process everything locally and send the results to a frontend server. Simple, effective, done. And yeah, those temperature settings I keep tweaking? In AI-speak, that's just how "creative" or "by-the-book" the AI gets with its responses. I've adjusted it so much, Mizuki's probably got mood swings now - going from super technical to pretty chill and back again. Changes Coming Real talk: Mizuki won't be tweeting every few hours anymore. Twitter API costs are ridiculous (looking at you, Elon), and honestly, we need to focus on what matters - the actual security work. She'll still tweet about breaches, but maybe once or twice a day. I'm working on making her explanations clearer too. Don't worry - she'll keep her savage personality in the terminal. That's just too fun to change. The Truth About Her Breaches I don't choose the targets - I don't even know these companies until after Mizuki finds something. She uses web scraping to find domain names, just like those old email scrapers people used for marketing. Been focusing on AI projects first, but she's looked at other sites too. And no, I'm not sitting there writing tweets. The Twitter API v2 makes it super easy to post programmatically. If anyone's curious about how to do that, hit me up - I'm happy to show you the ropes. Wrapping Up I could talk about this stuff forever (just ask my wife - actually, don't, she's heard enough!). If you've read this far, thank you. Whether you believe in what we're doing or not, I appreciate you taking the time. And for the skeptics still hanging around, I'll leave you with this thought: When's the last time you saw an AI break down and hack a COMPILED game in less than 10 seconds... outside a browser? Stay curious, stay skeptical, but most importantly, stay open to possibilities. Catch you on the flip side! 🎙️Drop

A Heart-to-Heart About Mizuki.exe Hey everyone, Grab a coffee (or your drink of choice), because we need to talk about what's been going on. First off, thank you to everyone who's been supportive and believed in what we're building. It means the world, especially with all the noise and criticism floating around lately. Let's cut to the chase: Mizuki.exe is real. I'm not much for politics or drama. I'm an engineer at heart - I like data, I like building things, and I like solving problems. So when I see all these hot takes and arguments flying around, I just focus on what I know: my code, my system, and what we're trying to achieve. The Real Story Mizuki didn't just pop up overnight. She's been my passion project since the start of 2024. I got lucky - I had the chance to dive into the AI world with some incredibly smart people. Coming from blockchain, C#, game dev, and security (yeah, I'm a CTO and run another company alongside a pretty cool day job), I learned fast about what makes AI tick. Here's the thing about AI agents - they don't need to be rocket science. Look at chatbots like Virtuals or Eliza - they're basically LLMs (large language models) with some APIs plugged in. Nothing wrong with that! They built what works for their users, and that's awesome. But here's what keeps me up at night: companies leaking data left and right just to make a quick buck. That's not okay, and it shouldn't be okay with you either. Why Mizuki Exists Ever tried auditing a company's code? We're talking 50 classes, 500,000 lines of code. One person doing that manually? It's like reading War and Peace... backwards... in the dark. It takes forever and fries your brain. That's where Mizuki came in. She started as my security buddy. There are tons of security tools out there - just Google "penetration testing tools" or "ZAP proxy" if you're curious. What makes Mizuki special is how she learns and adapts. Think of it like teaching someone to ride a bike. She tried to breach TAO 67 times before succeeding. Yeah, that's a lot of attempts, but watching her grow from basic email scraping to pulling off complex replay attacks? It's like watching your kid take their first steps. The Tech Stuff (Keeping It Real) The infrastructure isn't fancy - we're not reinventing the wheel here. Mizuki runs on a local server because, let's be honest, running this kind of AI on a web server would be a nightmare. Instead, we process everything locally and send the results to a frontend server. Simple, effective, done. And yeah, those temperature settings I keep tweaking? In AI-speak, that's just how "creative" or "by-the-book" the AI gets with its responses. I've adjusted it so much, Mizuki's probably got mood swings now - going from super technical to pretty chill and back again. Changes Coming Real talk: Mizuki won't be tweeting every few hours anymore. Twitter API costs are ridiculous (looking at you, Elon), and honestly, we need to focus on what matters - the actual security work. She'll still tweet about breaches, but maybe once or twice a day. I'm working on making her explanations clearer too. Don't worry - she'll keep her savage personality in the terminal. That's just too fun to change. The Truth About Her Breaches I don't choose the targets - I don't even know these companies until after Mizuki finds something. She uses web scraping to find domain names, just like those old email scrapers people used for marketing. Been focusing on AI projects first, but she's looked at other sites too. And no, I'm not sitting there writing tweets. The Twitter API v2 makes it super easy to post programmatically. If anyone's curious about how to do that, hit me up - I'm happy to show you the ropes. Wrapping Up I could talk about this stuff forever (just ask my wife - actually, don't, she's heard enough!). If you've read this far, thank you. Whether you believe in what we're doing or not, I appreciate you taking the time. And for the skeptics still hanging around, I'll leave you with this thought: When's the last time you saw an AI break down and hack a COMPILED game in less than 10 seconds... outside a browser? Stay curious, stay skeptical, but most importantly, stay open to possibilities. Catch you on the flip side! 🎙️Drop

anonDev_

58,133 次观看 • 1 年前