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🎄F2U Christmas Gingerbread Model 🎄 includes ✧ 4 expressions ✧ 9 hair variations ✧ 6 ear variations ✧ 4 blush variations ✧ 26 Add-on assets ✧ easy color changing toggles ✧ named layers for more customizing options links in replies #Live2D #VtuberAsset #VtubeStudio

Kitto🦋🍂Live2D art/rig

10,043 subscribers

133,291 views • 2 years ago •via X (Twitter)

Science & Technology Arts #Live2D #VtuberAsset #VtubeStudio

Anya Rossi• Live Now

Private livecam show

9 Comments

Kitto🦋🍂Live2D art/rig2 years ago

If you use Chonkie in stream, @ me in your post and link your stream/ use #chonkiethecookie, i would love to see Chonkie in action~

bawnana 🍌2 years ago

this is so cute oh my god

Kitto🦋🍂Live2D art/rig2 years ago

OMG THANK YOU!! I LOVE YOUR ART AND RIGS!!!!

ponatonic2 years ago

@bigstoopidvt @badoosyy @totororaee

Faust the Demon-Fused 🗡🌑 🔞2 years ago

@3nderrr @NinshinNyami become cookie

MeowTea 🐱☕2 years ago

Thank youuu for all your hard work. It looks amazing yet again!!

Bubulle |🧈🐟2 years ago

This is so cute !!!! Thank you so much for making it !!

Spam Goose 🎀🪿 | Goose Vtuber!2 years ago

SO CUTE! *sees the word bread in name* Bread........*starts drooling*

ArkanSCP 🦑✨2 years ago

I love it! +w+

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149,268 views • 1 year ago

🎉 4/20 MEGA GIVEAWAY IS LIVE! 🎉 Hey, growers and enthusiasts! We’re celebrating 4/20 with an epic giveaway packed with genetics, gear, and goodies! One lucky winner will take home EVERYTHING listed below! 🌱💨 🎁 Prizes: - 15+ packs of premium seeds bred by GENETICS 101 🫘 - 9x packs of seeds from my personal stash, bred by WickedGeneticsOfficial, Raw Genetics, Lost In Translation, Seedsman, and Tackett Genetics 🫘 - 1x Vivosun.official Jeweler’s Loupe (perfect for inspecting trichomes!) 🔍 - 5x Vivosun.official 5-Gallon Fabric Pots (great for healthy root growth!) 🪴 - 1x Nemaglobe (beneficial nematodes for organic pest control) 🐞 - 1x 10mm Royal Neptunium Glass Tip from Proper Doinks (smoke in style!) 💎 - 2x packs of King Size ElementS Ultra Thin Rolling Papers 📜 - 1x Extra Thick Color-Changing Silver Fumed Inside-Out Spoon Pipe (handmade by Sonofthemountain on Etsy) 🥄 I might add a couple more surprises before the giveaway ends, so stay tuned! 👀 🚀 How to Enter: 1️⃣ Follow GENETICS 101 (we’ll check!) 2️⃣ Like this post ❤️ 3️⃣ Repost this to your feed 🔁 👉 Optional: Tag your friends in the comments to spread the love (not required, but appreciated!) - I'll add your @ to the wheel of names for all replies for a glass pendant + more 🫘 giveaway (separate from the main giveaway) 📅 Giveaway Timeline: - Starts: Sunday, April 20, 2025 - Ends: Friday, April 25, 2025, at 9 PM Eastern - Winner Announced: April 25, 2025 via a post on X sometime after 9pm 🌍 Eligibility: Open to international accounts! However, please ensure cannabis seeds are legal in your country. We’re not responsible for customs issues. (No problems yet, 30+ international shipments so far) 🏆 Winner: One winner will be randomly selected and will win ALL the prizes listed above! We’ll contact the winner via DM, so keep your notifications on. (I will be using "The X Picker" to randomly choose a winner.) 💡 Bonus: I’ll also be teaming up with Rangerbug for flash giveaways Monday through Friday (April 21-25) with more seed packs from both of us and more goodies up for grabs. Each flash giveaway will run for 2-5 hours—don’t miss out! Let’s make this 4/20 unforgettable! Enter now and good luck! 🍀 *No purchase necessary. This giveaway is not sponsored, endorsed, or administered by X. Participants must be 18+. Seeds are for souvenir/collectible purposes only; germination may be illegal in some regions—check local laws. #420Giveaway #Genetics101va #CannabisCommunity

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🎉 4/20 MEGA GIVEAWAY IS LIVE! 🎉 Hey, growers and enthusiasts! We’re celebrating 4/20 with an epic giveaway packed with genetics, gear, and goodies! One lucky winner will take home EVERYTHING listed below! 🌱💨 🎁 Prizes: - 15+ packs of premium seeds bred by GENETICS 101 🫘 - 9x packs of seeds from my personal stash, bred by WickedGeneticsOfficial, Raw Genetics, Lost In Translation, Seedsman, and Tackett Genetics 🫘 - 1x Vivosun.official Jeweler’s Loupe (perfect for inspecting trichomes!) 🔍 - 5x Vivosun.official 5-Gallon Fabric Pots (great for healthy root growth!) 🪴 - 1x Nemaglobe (beneficial nematodes for organic pest control) 🐞 - 1x 10mm Royal Neptunium Glass Tip from Proper Doinks (smoke in style!) 💎 - 2x packs of King Size ElementS Ultra Thin Rolling Papers 📜 - 1x Extra Thick Color-Changing Silver Fumed Inside-Out Spoon Pipe (handmade by Sonofthemountain on Etsy) 🥄 I might add a couple more surprises before the giveaway ends, so stay tuned! 👀 🚀 How to Enter: 1️⃣ Follow GENETICS 101 (we’ll check!) 2️⃣ Like this post ❤️ 3️⃣ Repost this to your feed 🔁 👉 Optional: Tag your friends in the comments to spread the love (not required, but appreciated!) - I'll add your @ to the wheel of names for all replies for a glass pendant + more 🫘 giveaway (separate from the main giveaway) 📅 Giveaway Timeline: - Starts: Sunday, April 20, 2025 - Ends: Friday, April 25, 2025, at 9 PM Eastern - Winner Announced: April 25, 2025 via a post on X sometime after 9pm 🌍 Eligibility: Open to international accounts! However, please ensure cannabis seeds are legal in your country. We’re not responsible for customs issues. (No problems yet, 30+ international shipments so far) 🏆 Winner: One winner will be randomly selected and will win ALL the prizes listed above! We’ll contact the winner via DM, so keep your notifications on. (I will be using "The X Picker" to randomly choose a winner.) 💡 Bonus: I’ll also be teaming up with Rangerbug for flash giveaways Monday through Friday (April 21-25) with more seed packs from both of us and more goodies up for grabs. Each flash giveaway will run for 2-5 hours—don’t miss out! Let’s make this 4/20 unforgettable! Enter now and good luck! 🍀 *No purchase necessary. This giveaway is not sponsored, endorsed, or administered by X. Participants must be 18+. Seeds are for souvenir/collectible purposes only; germination may be illegal in some regions—check local laws. #420Giveaway #Genetics101va #CannabisCommunity

GENETICS 101

27,299 views • 1 year ago

What's the Big Deal with DeepSeek in AI? Here's why DeepSeek is making everyone take notice: 1. Super Smart on a Budget: DeepSeek showed you can make awesome AI without breaking the bank. Their latest model, DeepSeek-V3, was trained for only about $10 million, which is a lot less than the usual big bucks spent on AI, like the rumored $78 million for some of OpenAI's models. They did this in just two months with fewer fancy computers. 2. Open for Everyone: DeepSeek isn't keeping their tech a secret. They've made it open-source, meaning anyone can use, tweak, and learn from it. It's like they're saying, "Come join the party!" 3. Beating the Big Names: DeepSeek-V3 has done better than some top dogs from companies like OpenAI and Google in solving puzzles, math, and coding. This proves you can get great AI results without spending a fortune. 4. Challenging NVIDIA: NVIDIA's chips are usually the choice for AI because they're really powerful. But since DeepSeek did so well with less expensive chips, it might make people think twice about always going for NVIDIA's priciest options. 5. The DeepSeek Crew: The team at DeepSeek is young and smart, mostly from top Chinese schools, with brains in physics, math, and computer science. They learned AI in about six months by themselves! They use first principle thinking, which means they break down problems to the basics and build from there. This has helped them come up with cool new ways to do AI. 6. Changing AI for Good: DeepSeek is showing that AI can be cheaper and more open to everyone. They're changing how we think AI should be made and shared, which could shake up the whole AI world. So, as we watch DeepSeek, it's clear they're not just another player; they're changing the rules of the game. I predicted that this would be a make or break year for all the massive investments made in AI by American VC's. A few weeks later, DeepSeek happens! Watch the rest of my predictions in my 2025 outlook video . Link in replies #AIInnovation #DeepSeek #NVIDIA #OpenAI #TechDisruption

What's the Big Deal with DeepSeek in AI? Here's why DeepSeek is making everyone take notice: 1. Super Smart on a Budget: DeepSeek showed you can make awesome AI without breaking the bank. Their latest model, DeepSeek-V3, was trained for only about $10 million, which is a lot less than the usual big bucks spent on AI, like the rumored $78 million for some of OpenAI's models. They did this in just two months with fewer fancy computers. 2. Open for Everyone: DeepSeek isn't keeping their tech a secret. They've made it open-source, meaning anyone can use, tweak, and learn from it. It's like they're saying, "Come join the party!" 3. Beating the Big Names: DeepSeek-V3 has done better than some top dogs from companies like OpenAI and Google in solving puzzles, math, and coding. This proves you can get great AI results without spending a fortune. 4. Challenging NVIDIA: NVIDIA's chips are usually the choice for AI because they're really powerful. But since DeepSeek did so well with less expensive chips, it might make people think twice about always going for NVIDIA's priciest options. 5. The DeepSeek Crew: The team at DeepSeek is young and smart, mostly from top Chinese schools, with brains in physics, math, and computer science. They learned AI in about six months by themselves! They use first principle thinking, which means they break down problems to the basics and build from there. This has helped them come up with cool new ways to do AI. 6. Changing AI for Good: DeepSeek is showing that AI can be cheaper and more open to everyone. They're changing how we think AI should be made and shared, which could shake up the whole AI world. So, as we watch DeepSeek, it's clear they're not just another player; they're changing the rules of the game. I predicted that this would be a make or break year for all the massive investments made in AI by American VC's. A few weeks later, DeepSeek happens! Watch the rest of my predictions in my 2025 outlook video . Link in replies #AIInnovation #DeepSeek #NVIDIA #OpenAI #TechDisruption

Dr Ola Brown

83,460 views • 1 year ago

My app just hit $7.8k/m in revenue. This is how I'm running ads for mobile apps. To hit 10k/m before I quit my job & fly to Vietnam 🇻🇳 Part One: Apple Ads (First $1k/m). • Repeated this a lot so to summarise: 1. $100 free ad credits, ez mode. 2. Run strict keywords on competitor names. 3. Split into tiers for countries & scale the max bid. 4. Use RevenueCat or Superwall for attribution. 5. Give ad spend & transactions to claude: find winners. 6. Measure the onboarding: tighten funnel. 7. Daily budget can be low at first, like $20. 8. The max bid is the important variable here. 9. This will get you to $1k/m. Part Two: TikSl0p Ads ($1k to $10k) • This is much harder to make profit. • But when you do, it's exponential. • Read Open Book's guide on this first. 1. Make ~6 formats, ~12 creatives. 2. Leave campaign targeting super broad. 3. I do $70/day of campaign budget spend. 4. No demographic or interest settings. 5. Let the algorithm find your perfect user. 6. Give each creative $50 of ad spend. 7. After $50, if (close to) profitable then scale. 8. If no profit, then stop the posts. 9. Use realised LTV to begin with. 10. Simple: revenue / paid customers. 11. 400 IQ chad: aim for profit on initial transaction. 12. Ask Rico for unrealised LTV. Can be hard to calculate. 13. Expect to burn a few hundred $$ to find profit. Notes: If you none of your creatives are profitable, then go back to the drawing board and try again. You're taking $50 gambles each time. When you find a winner, it'll repay the initial investments 100x! This is a game of pain tolerance. You need to be able to stomach losing hundreds of $$$ without seeing any returns. Part Three: Scaling. 1. If you're consistently getting > 2x ROAS. 2. Up your campaign budget by 15%. 3. Do NOT increase more than 30%. 4. Otherwise I will be very very cross with you. 5. You'll kill performance. 6. Performance can be volatile. • Measure ROAS over weeks, not days Notes: When you've found a winning creative, create multiple variations of it. We're talking 100 different kinds. I'm being lazy and need to do this more!! Part Four: Experimental Ad Spend ($10k +). • This is the next level: I've gone 0-1. • I've not seen much sauce on X about scaling past this. • So, this is where I'm at now. I'll share it with all of you. My current position is: 1. Trying out other platforms: Meta, IG, etc 2. Continue reinvesting the profits from previous ads. 3. I'm trying multiple new avenues right now: • Paid influencers, UGC, slideshowmaxxing, etc. Keep pushing, we're all gonna win.

My app just hit $7.8k/m in revenue. This is how I'm running ads for mobile apps. To hit 10k/m before I quit my job & fly to Vietnam 🇻🇳 Part One: Apple Ads (First $1k/m). • Repeated this a lot so to summarise: 1. $100 free ad credits, ez mode. 2. Run strict keywords on competitor names. 3. Split into tiers for countries & scale the max bid. 4. Use RevenueCat or Superwall for attribution. 5. Give ad spend & transactions to claude: find winners. 6. Measure the onboarding: tighten funnel. 7. Daily budget can be low at first, like $20. 8. The max bid is the important variable here. 9. This will get you to $1k/m. Part Two: TikSl0p Ads ($1k to $10k) • This is much harder to make profit. • But when you do, it's exponential. • Read Open Book's guide on this first. 1. Make ~6 formats, ~12 creatives. 2. Leave campaign targeting super broad. 3. I do $70/day of campaign budget spend. 4. No demographic or interest settings. 5. Let the algorithm find your perfect user. 6. Give each creative $50 of ad spend. 7. After $50, if (close to) profitable then scale. 8. If no profit, then stop the posts. 9. Use realised LTV to begin with. 10. Simple: revenue / paid customers. 11. 400 IQ chad: aim for profit on initial transaction. 12. Ask Rico for unrealised LTV. Can be hard to calculate. 13. Expect to burn a few hundred $$ to find profit. Notes: If you none of your creatives are profitable, then go back to the drawing board and try again. You're taking $50 gambles each time. When you find a winner, it'll repay the initial investments 100x! This is a game of pain tolerance. You need to be able to stomach losing hundreds of $$$ without seeing any returns. Part Three: Scaling. 1. If you're consistently getting > 2x ROAS. 2. Up your campaign budget by 15%. 3. Do NOT increase more than 30%. 4. Otherwise I will be very very cross with you. 5. You'll kill performance. 6. Performance can be volatile. • Measure ROAS over weeks, not days Notes: When you've found a winning creative, create multiple variations of it. We're talking 100 different kinds. I'm being lazy and need to do this more!! Part Four: Experimental Ad Spend ($10k +). • This is the next level: I've gone 0-1. • I've not seen much sauce on X about scaling past this. • So, this is where I'm at now. I'll share it with all of you. My current position is: 1. Trying out other platforms: Meta, IG, etc 2. Continue reinvesting the profits from previous ads. 3. I'm trying multiple new avenues right now: • Paid influencers, UGC, slideshowmaxxing, etc. Keep pushing, we're all gonna win.

Frederick James

16,140 views • 12 days ago

Most of my video work is heavily rely on character sheets. Originally my character sheets were pretty simple, just 3 views made in Nano Banana. But I wanted something neater that actually feels like a proper production character sheet. So here's how I do it now in LovartAI Step 1: Create the base image of your character in Nano Banana. It can be anything. I just describe mine conversationally, something like "create a Thai high school student." That's enough to get started. Step 2: Once you have the base image, feed it into the template below. I run this in GPT o2 Image because the detail output is really good. And that's genuinely it. The template below is fully adjustable. Make it yours. And please note that everything happens conversationally with LovartAI which the best part 😉 + + + Prompt Example: [STYLE]: cinematic realism, Wong Kar-Wai atmosphere, high contrast, film grain, warm humid haze, 35mm anamorphic feel [LAYOUT]: single unified MASTER CHARACTER REFERENCE SHEET, two-page-spread feel, neutral off-white background, sections clearly separated with bold headers [CHARACTER]: - Name: Mira - Alias / role: The Woman - Age descriptor: young adult - Build: slender, natural proportions - Face: warm brown skin, natural beauty, no makeup, subtle imperfections, sweat sheen, half-lidded eyes, slightly parted lips - Hair: messy ponytail, tortoiseshell claw clip - Wardrobe: faded sage-green T-shirt, clinging, damp at collarbone, casual shorts - Props: none - Distinguishing features: sweat on temples and neck, natural skin texture - Personality (drives micro-expressions): intensely seductive, confident, teasing, deliberate [LEFT PAGE]: [SECTION 1 — TITLE + INFO BLOCK, top-left]: large character name header + 6 short stat lines (Name / Alias / Height / Build / Role / Archetype). Sans-serif, each line under 20 words. [SECTION 2 — MAIN IDENTITY + SCALE, dominant left column]: full-body front view, neutral pose, even lighting. THIS PANEL DOMINATES. [SECTION 3 — VIEWS, top-right]: 3/4 angle and full side view, two figures side by side, identical outfit/lighting [SECTION 4 — WARDROBE & ACCESSORIES, mid-left]: each item on flat surface with short label [SECTION 5 — COLOR PALETTE, bottom-left]: 6 horizontal swatches — skin / hair / shirt / shorts / clip / accent — each with short label [RIGHT PAGE]: [SECTION 6 — EXPRESSION PROGRESSION, top row]: 8 head shots — neutral / warm smile / laugh / sad / angry / surprised / determined / vulnerable. Single-word emotion tags. [SECTION 7 — MICRO EXPRESSIONS, second row]: 5 head shots showing subtle muscle changes — slight eye tension / jaw clench / subtle brow tightening / lower eyelid tension / lip compression [SECTION 8 — HEAD DETAIL, third row left]: one large close-up, chest up. Most detailed shot. [SECTION 9 — POSTURE VARIATIONS, third row right]: 4 small full-body in characteristic postures — standing relaxed, seated alert, mid-action, walking with intent [SECTION 10 — NOTES PANEL, fourth row left]: short text block (max 3 lines, each under 20 words) describing behavior [SECTION 11 — HAND GESTURES, fourth row center]: 3 close-ups of hands in characteristic poses [SECTION 12 — SILHOUETTE GUIDE, fourth row right]: 2 black silhouettes side by side — NEUTRAL and ACTION, pure black on white [CONSTRAINTS]: same character, face, outfit pieces, proportions across all sections. MAIN IDENTITY + SCALE must dominate. Final image should look like a premium production visual bible matching the selected style. [CONSTRAINTS]: no watermark, no extra unspecified text, natural realistic body proportions, identical body shape across all panels.

Most of my video work is heavily rely on character sheets. Originally my character sheets were pretty simple, just 3 views made in Nano Banana. But I wanted something neater that actually feels like a proper production character sheet. So here's how I do it now in LovartAI Step 1: Create the base image of your character in Nano Banana. It can be anything. I just describe mine conversationally, something like "create a Thai high school student." That's enough to get started. Step 2: Once you have the base image, feed it into the template below. I run this in GPT o2 Image because the detail output is really good. And that's genuinely it. The template below is fully adjustable. Make it yours. And please note that everything happens conversationally with LovartAI which the best part 😉 + + + Prompt Example: [STYLE]: cinematic realism, Wong Kar-Wai atmosphere, high contrast, film grain, warm humid haze, 35mm anamorphic feel [LAYOUT]: single unified MASTER CHARACTER REFERENCE SHEET, two-page-spread feel, neutral off-white background, sections clearly separated with bold headers [CHARACTER]: - Name: Mira - Alias / role: The Woman - Age descriptor: young adult - Build: slender, natural proportions - Face: warm brown skin, natural beauty, no makeup, subtle imperfections, sweat sheen, half-lidded eyes, slightly parted lips - Hair: messy ponytail, tortoiseshell claw clip - Wardrobe: faded sage-green T-shirt, clinging, damp at collarbone, casual shorts - Props: none - Distinguishing features: sweat on temples and neck, natural skin texture - Personality (drives micro-expressions): intensely seductive, confident, teasing, deliberate [LEFT PAGE]: [SECTION 1 — TITLE + INFO BLOCK, top-left]: large character name header + 6 short stat lines (Name / Alias / Height / Build / Role / Archetype). Sans-serif, each line under 20 words. [SECTION 2 — MAIN IDENTITY + SCALE, dominant left column]: full-body front view, neutral pose, even lighting. THIS PANEL DOMINATES. [SECTION 3 — VIEWS, top-right]: 3/4 angle and full side view, two figures side by side, identical outfit/lighting [SECTION 4 — WARDROBE & ACCESSORIES, mid-left]: each item on flat surface with short label [SECTION 5 — COLOR PALETTE, bottom-left]: 6 horizontal swatches — skin / hair / shirt / shorts / clip / accent — each with short label [RIGHT PAGE]: [SECTION 6 — EXPRESSION PROGRESSION, top row]: 8 head shots — neutral / warm smile / laugh / sad / angry / surprised / determined / vulnerable. Single-word emotion tags. [SECTION 7 — MICRO EXPRESSIONS, second row]: 5 head shots showing subtle muscle changes — slight eye tension / jaw clench / subtle brow tightening / lower eyelid tension / lip compression [SECTION 8 — HEAD DETAIL, third row left]: one large close-up, chest up. Most detailed shot. [SECTION 9 — POSTURE VARIATIONS, third row right]: 4 small full-body in characteristic postures — standing relaxed, seated alert, mid-action, walking with intent [SECTION 10 — NOTES PANEL, fourth row left]: short text block (max 3 lines, each under 20 words) describing behavior [SECTION 11 — HAND GESTURES, fourth row center]: 3 close-ups of hands in characteristic poses [SECTION 12 — SILHOUETTE GUIDE, fourth row right]: 2 black silhouettes side by side — NEUTRAL and ACTION, pure black on white [CONSTRAINTS]: same character, face, outfit pieces, proportions across all sections. MAIN IDENTITY + SCALE must dominate. Final image should look like a premium production visual bible matching the selected style. [CONSTRAINTS]: no watermark, no extra unspecified text, natural realistic body proportions, identical body shape across all panels.

DAN · MXVDXN

30,013 views • 2 months ago

DROPS E39: Worm - The permissionless truth machine Nass Diba studied quantum physics, worked at Facebook, then left to build in crypto. He's now building Worm - a permissionless prediction market on Solana with leverage. His thesis: prediction markets are the only mechanism that consistently surfaces truth, and they're about to matter more than ever. He grew up in Iran under a dictatorship. He watched state TV claim there was no inflation while the money in people's pockets shrank. That's not a metaphor for him - it's the problem he's building to solve. We talk about: - Why CNN and Fox both showed different election results in 2024 - Growing up in Iran and experiencing information asymmetry under dictatorship firsthand - Building a Poly Market Telegram mini app in September 2024 and getting 56,000 users overnight - Why 90% of those users weren't American - and what that revealed about the technology - How leverage works on prediction markets, why it took 9 months to build, and what liquidation actually means when there's no price - just probability - Why Polymarket and Kalshi are scratching the surface of what's possible - Prediction markets as the engagement layer for Web3 - and what Worm is launching on HyperLiquid HIP-4 And much more… Timestamps: 0:00 Introduction 1:17 Welcome to DROPS 1:57 Prediction Markets in 2026 3:08 Can the crowd be wrong? 4:26 Money Creates Better Truth Discovery 5:22 Who is Nass? 5:55 Growing up in Iran 6:52 Entered Crypto in 2019 8:05 Discovering Prediction Markets 10:08 Signal Behind the 2024 Elections 11:59 How Prediction Markets Disrupt Traditional Media 13:16 Traditional Media Prioritizes Incentives Over Truth 17:33 Polymarket vs Kalshi: Which Model Wins? 18:25 Why is Kalshi or Polymarket enough? 19:43 Lessons Learned Building on Polymarket 21:07 Building Worm on Solana 21:56 What Is Worm and its special elements? 23:36 How Leverage Works on Prediction Markets 25:29 Hedging 27:33 Prediction Markets vs Options & Perps 29:15 How Liquidations Work 31:13 Why Leverage is more than a Gimmick 33:04 Building Leverage Was Harder Than Expected 34:12 Solving Liquidity Problem 36:05 How Worm Acquires Users 36:59 Inflection Point for Prediction Markets 39:06 Why Worm chose Solana 40:24 Becoming the Hyperliquid of Prediction Markets 42:26 Solana vs Hyperliquid: Which Wins? 45:00 Conclusion

DROPS E39: Worm - The permissionless truth machine Nass Diba studied quantum physics, worked at Facebook, then left to build in crypto. He's now building Worm - a permissionless prediction market on Solana with leverage. His thesis: prediction markets are the only mechanism that consistently surfaces truth, and they're about to matter more than ever. He grew up in Iran under a dictatorship. He watched state TV claim there was no inflation while the money in people's pockets shrank. That's not a metaphor for him - it's the problem he's building to solve. We talk about: - Why CNN and Fox both showed different election results in 2024 - Growing up in Iran and experiencing information asymmetry under dictatorship firsthand - Building a Poly Market Telegram mini app in September 2024 and getting 56,000 users overnight - Why 90% of those users weren't American - and what that revealed about the technology - How leverage works on prediction markets, why it took 9 months to build, and what liquidation actually means when there's no price - just probability - Why Polymarket and Kalshi are scratching the surface of what's possible - Prediction markets as the engagement layer for Web3 - and what Worm is launching on HyperLiquid HIP-4 And much more… Timestamps: 0:00 Introduction 1:17 Welcome to DROPS 1:57 Prediction Markets in 2026 3:08 Can the crowd be wrong? 4:26 Money Creates Better Truth Discovery 5:22 Who is Nass? 5:55 Growing up in Iran 6:52 Entered Crypto in 2019 8:05 Discovering Prediction Markets 10:08 Signal Behind the 2024 Elections 11:59 How Prediction Markets Disrupt Traditional Media 13:16 Traditional Media Prioritizes Incentives Over Truth 17:33 Polymarket vs Kalshi: Which Model Wins? 18:25 Why is Kalshi or Polymarket enough? 19:43 Lessons Learned Building on Polymarket 21:07 Building Worm on Solana 21:56 What Is Worm and its special elements? 23:36 How Leverage Works on Prediction Markets 25:29 Hedging 27:33 Prediction Markets vs Options & Perps 29:15 How Liquidations Work 31:13 Why Leverage is more than a Gimmick 33:04 Building Leverage Was Harder Than Expected 34:12 Solving Liquidity Problem 36:05 How Worm Acquires Users 36:59 Inflection Point for Prediction Markets 39:06 Why Worm chose Solana 40:24 Becoming the Hyperliquid of Prediction Markets 42:26 Solana vs Hyperliquid: Which Wins? 45:00 Conclusion

MR SHIFT 🦁

31,039 views • 1 month ago

Use this FREE tool to generate the first draft of ANY type of literature review. Meet AnswerThis — a tool that makes literature review faster and easier. Here’s how it works. 1. Visit and log in. 2. Select the 𝐿𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑅𝑒𝑣𝑖𝑒𝑤 option from the menu. 3. From the prompt helper, select 𝑊𝑟𝑖𝑡𝑒 𝑎 𝑙𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑟𝑒𝑣𝑖𝑒𝑤 𝑜𝑛. 4. Enter your research topic in the blank text field ➝ For example, Vulnerabilities in Big Data Systems 5. Click 𝐶𝑟𝑒𝑎𝑡𝑒 to generate the initial search prompt. 6. Press Enter to see research filter options. 7. Choose your response type based on your needs. ➝ Structured Literature Review: Citation-rich and detailed. ➝ Dynamic Research Assistant: To explore research gaps. ➝ AI Only: Fast, but unreliable with no citations. 8. Set the minimum number of citations for the review. ➝ Choose at least 10 for comprehensive results. 9. Decide whether to enable 𝑇𝑢𝑟𝑏𝑜 𝑀𝑜𝑑𝑒 for faster results. ➝ Disabling it gives you more comprehensive answers. 10. Select the sources for search results. ➝ Choose both web and databases for thorough results. 11. Specify the date range to get recent papers. 12. Enable 𝑑𝑜𝑢𝑏𝑙𝑒-𝑐ℎ𝑒𝑐𝑘 𝑐𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 for accurate results. 13. Once filters are set, click 𝑆𝑢𝑏𝑚𝑖𝑡 𝑆𝑒𝑎𝑟𝑐ℎ to proceed. 14. After a while, your literature review will be generated. ➝ Sources and citations will be listed on the right. 15. Review the results and assess the paper sources carefully. 16. Add relevant papers to your library for easy access later. 17. Export citations in formats like BibTeX or CSV as needed. 18. You can also download the review as a Word or PDF file. Treat this literature review as an initial draft. Refine it and build your review on the top of it. Ready to make literature review effortless? Try AnswerThis ( today and see the difference!

Use this FREE tool to generate the first draft of ANY type of literature review. Meet AnswerThis — a tool that makes literature review faster and easier. Here’s how it works. 1. Visit and log in. 2. Select the 𝐿𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑅𝑒𝑣𝑖𝑒𝑤 option from the menu. 3. From the prompt helper, select 𝑊𝑟𝑖𝑡𝑒 𝑎 𝑙𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑟𝑒𝑣𝑖𝑒𝑤 𝑜𝑛. 4. Enter your research topic in the blank text field ➝ For example, Vulnerabilities in Big Data Systems 5. Click 𝐶𝑟𝑒𝑎𝑡𝑒 to generate the initial search prompt. 6. Press Enter to see research filter options. 7. Choose your response type based on your needs. ➝ Structured Literature Review: Citation-rich and detailed. ➝ Dynamic Research Assistant: To explore research gaps. ➝ AI Only: Fast, but unreliable with no citations. 8. Set the minimum number of citations for the review. ➝ Choose at least 10 for comprehensive results. 9. Decide whether to enable 𝑇𝑢𝑟𝑏𝑜 𝑀𝑜𝑑𝑒 for faster results. ➝ Disabling it gives you more comprehensive answers. 10. Select the sources for search results. ➝ Choose both web and databases for thorough results. 11. Specify the date range to get recent papers. 12. Enable 𝑑𝑜𝑢𝑏𝑙𝑒-𝑐ℎ𝑒𝑐𝑘 𝑐𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 for accurate results. 13. Once filters are set, click 𝑆𝑢𝑏𝑚𝑖𝑡 𝑆𝑒𝑎𝑟𝑐ℎ to proceed. 14. After a while, your literature review will be generated. ➝ Sources and citations will be listed on the right. 15. Review the results and assess the paper sources carefully. 16. Add relevant papers to your library for easy access later. 17. Export citations in formats like BibTeX or CSV as needed. 18. You can also download the review as a Word or PDF file. Treat this literature review as an initial draft. Refine it and build your review on the top of it. Ready to make literature review effortless? Try AnswerThis ( today and see the difference!

Faheem Ullah

12,694 views • 6 months ago

$Meet My AI Ears. A lot of folks ask me how I capture ASMR video and audio for training of AI? I always use Binaural 3D audio and have for decades in different forms. But how? A Brief History of Binaural Recording Binaural recording, the foundation of 3D audio, dates back to 1881 when French inventor Clément Ader created the first system using multiple telephone transmitters at the Paris Opera to transmit stereo sound to listeners, simulating spatial presence. By the 1920s, patents like W. Bartlett Jones’ 1927 filing advanced devices for capturing and reproducing “binaural” signals. The 1930s saw Alan Blumlein’s work on stereophonic sound, which he termed “binaural,” laying groundwork for modern stereo. Commercial milestones hit in the 1950s with binaural records from labels like Cook Laboratories and the first binaural reel-to-reel tapes. A resurgence came in the 1970s with Neumann’s KU-80 dummy head, the first commercial binaural system. Today, it’s integral to VR, ASMR, and immersive media. The Technology of Binaural 3D Audio At its core, binaural recording mimics human hearing by using two microphones placed in ear-shaped molds or a dummy head, separated like human ears (typically 14-18 cm apart). This captures spatial cues: interaural time differences (ITD) for sound arrival timing, interaural level differences (ILD) for volume variations, and head-related transfer functions (HRTF) that account for how the head, torso, and pinnae filter sounds. The result? A 3D soundscape that tricks the brain into perceiving direction, distance, and elevation when played back via headphones—no speakers needed for immersion. Advanced setups use omnidirectional capsules (e.g., DPA 4060) for high-fidelity capture, often in silicone ears to replicate natural diffraction. I use the 3DIO Microphones today but I would cover a dummy head in texture material and place two stereo (4 channels) microphones in each ear. I would then mix down the resulting signals into stereo. The 3DIO series features dual omnidirectional capsules in realistic silicone ear molds, spaced 14 cm apart for compact, accurate 3D capture based on over 13 years of research into human hearing. Models like the Free Space Pro II use premium DPA 4060 CORE capsules for ultra-low noise and high sensitivity, delivering stereo output ideal for immersive applications like game audio. Today just about any ASMR producer uses these. But I use them to capture, curate and archive sound and video we will lose or just about lost for AI training in a way no model or AI company is doing today. I am duplicating the human 3D binaural audio experience and memory. Below is a crude demonstration. If you can listen in headphones. Or turn your phone sideways to feel the audio space. I’ll have a far more professional demo soon to show the real power of 3D audio. (Oh that music is a MIDI player that uses disks to play).$

Meet My AI Ears. A lot of folks ask me how I capture ASMR video and audio for training of AI? I always use Binaural 3D audio and have for decades in different forms. But how? A Brief History of Binaural Recording Binaural recording, the foundation of 3D audio, dates back to 1881 when French inventor Clément Ader created the first system using multiple telephone transmitters at the Paris Opera to transmit stereo sound to listeners, simulating spatial presence. By the 1920s, patents like W. Bartlett Jones’ 1927 filing advanced devices for capturing and reproducing “binaural” signals. The 1930s saw Alan Blumlein’s work on stereophonic sound, which he termed “binaural,” laying groundwork for modern stereo. Commercial milestones hit in the 1950s with binaural records from labels like Cook Laboratories and the first binaural reel-to-reel tapes. A resurgence came in the 1970s with Neumann’s KU-80 dummy head, the first commercial binaural system. Today, it’s integral to VR, ASMR, and immersive media. The Technology of Binaural 3D Audio At its core, binaural recording mimics human hearing by using two microphones placed in ear-shaped molds or a dummy head, separated like human ears (typically 14-18 cm apart). This captures spatial cues: interaural time differences (ITD) for sound arrival timing, interaural level differences (ILD) for volume variations, and head-related transfer functions (HRTF) that account for how the head, torso, and pinnae filter sounds. The result? A 3D soundscape that tricks the brain into perceiving direction, distance, and elevation when played back via headphones—no speakers needed for immersion. Advanced setups use omnidirectional capsules (e.g., DPA 4060) for high-fidelity capture, often in silicone ears to replicate natural diffraction. I use the 3DIO Microphones today but I would cover a dummy head in texture material and place two stereo (4 channels) microphones in each ear. I would then mix down the resulting signals into stereo. The 3DIO series features dual omnidirectional capsules in realistic silicone ear molds, spaced 14 cm apart for compact, accurate 3D capture based on over 13 years of research into human hearing. Models like the Free Space Pro II use premium DPA 4060 CORE capsules for ultra-low noise and high sensitivity, delivering stereo output ideal for immersive applications like game audio. Today just about any ASMR producer uses these. But I use them to capture, curate and archive sound and video we will lose or just about lost for AI training in a way no model or AI company is doing today. I am duplicating the human 3D binaural audio experience and memory. Below is a crude demonstration. If you can listen in headphones. Or turn your phone sideways to feel the audio space. I’ll have a far more professional demo soon to show the real power of 3D audio. (Oh that music is a MIDI player that uses disks to play).

Brian Roemmele

30,800 views • 7 months ago