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While typing...

చిన్న రామయ్య ⒻⒶⓃ🐉🦚

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77,568 Aufrufe • vor 1 Jahr •via X (Twitter)

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kim junkyu!!!??? shocks him typing so fast while having that serious expression😫🙏🏻#준규

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Everyone's still typing prompts,creatives create..... I'm sprinting through infinite ideas with my pika agent while they're still negotiating with an interface. The gap just became unfair. 🚀

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Bro literally in this mode while typing this 🔥🔥♥️🙌🏻 SalaarShankar 2.Oᴿᴱᴮᴱᴸᵂᴼᴼᴰ🇮🇳 #Prabhas𓃵 sir fans elevation to #Thalaivar #Rajinikanth is massive ♥️🔥🔥 #Rajinikanth𓃵 #Prabhas𓃵

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35 years old 👀 No husband 😏 Child free 🥱🥱 And I’m happy with my life 🥱🥱 (I reject this for myself and anyone close to me, Amen 🙏) “Whispering under my breathe while typing this”

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Firey was very calculated about recovering Leafy He stole the Y when it was thrown so he could use it later And then he approaches Book casually, pretends not to know what the keyboard does, and pretends to mess with the buttons while intentionally typing Leafy’s name

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Selectable options transform how you work with Cline -- let us explain: Instead of typing open-ended responses, you can now choose from curated paths that Cline presents. This shifts Cline from just a tool to a true collaborative partner -- offering guidance while keeping you in control of the direction. Small UI change, profound workflow difference.

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Built a WordPress plugin that lets teams edit page content directly from the front end, just click any text and start typing. Really simple way to let people update content without breaking the design. Kind of like synced patterns, but no set up needed. Uses the WordPress Interactivity API under the hood, while keeping the block markup intact in the backend. Built the whole thing with Claude Code in WordPress.com Studio. Want to try building something yourself? npm i -g wp-studio@next && studio code

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Jamie Marsland - Head of WordPress YouTube ❤️

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SOMEONE TURNED 33 PILES OF DEAD BOOKMARKS INTO A GRAVITY MAP CLAUDE REBUILDS ITSELF EVERY NIGHT - AND IT RUNS ON THE 80% OF CLAUDE NOBODY TOUCHES most people drive Claude Code like a chatbot with file access - type a prompt, watch it edit, move on. that's maybe 20% of the tool this is the opposite. she's not typing at Claude. she's running it - loops on a mac mini overnight, claude linking every node while she sleeps the gravity map in the video is just the 80% maxed out: 1 system that organizes itself, not a human babysitting a chat box the other 80% is a steering layer Anthropic shipped quietly on june 18 - 7 ways to instruct the model, and a stack of commands almost nobody opens /context to see your bloat. /clear between tasks. path-scoped rules, subagents, hooks - conventions that load themselves the exact second they matter i stopped typing at Claude months ago - now i configure it once and it shows up already running the work, 10x cleaner a prompt helps for 1 message. the steering layer pays you back every session, for life the people who learn it stop being users and become operators - everyone else is still arguing about which model is smartest the article below is the full map - all 4 layers, every file and command, start to finish

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Try this experiment: 1️⃣ Go somewhere with hot girls 2️⃣ Bring a book, laptop, or tablet with you 3️⃣ Pick somewhere conspicuous but relaxed 4️⃣ Read, type, or draw 5️⃣ Get absorbed in what you’re reading, typing, or drawing 6️⃣ Use your peripheral vision to pay attention but DON’T LOOK 7️⃣ Girls will drift near, start brushing their hair back, posing 8️⃣ STILL DON’T LOOK. Stay absorbed 9️⃣ They will intensify the signals 🔟 After a little while of this, ‘come up for air’, ‘notice’ them, smile & say hi WHY ARE GIRLS SO ENTHUSIASTIC WHEN YOU DO THIS? Because when she has just spent 5 minutes trying to get your attention, she’s invested. The harder she works for it, the happier she is to finally get it. Try it if you don’t believe me.

Sensitive content

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Girls Chase 🏃‍♀️💨

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shmidt

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Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

Kimi just wiped out Google Docs, Excel, and PowerPoint in one quiet update. While most people still treat AI like a fancy typing assistant, Kimi Premium shipped something completely different: AI that creates finished professional files directly from conversation. Not exports. Not drafts. Real Excel, Word, PPT, and PDFs built at the structural level. Ask for five years of financials on the Magnificent Seven and it doesn’t summarize. It builds a multi-sheet Excel workbook with balance sheets, income statements, cash flows, clean formatting, and sourced data like a senior analyst prepared it. Someone asked for a DCF on Apple. Kimi produced a full valuation model with assumptions, discount rates, scenario analysis, and citations. Another user fed in one payroll Excel file and got 30 individualized, encrypted PDF payslips out. End-to-end automation. It gets crazier. It can generate images inside spreadsheets for storyboards. One prompt produced a 20-shot video storyboard Excel with timing, visuals, voiceover text, sound cues, and consistent sketch images per frame. This isn’t better chat. It’s execution replaced. Kimi doesn’t give you content to paste into tools. It gives you the tools’ final output. That’s the shift everyone missed. Try it here:

Hasan Toor

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Elon Musk pays one wallet $115K. He doesn't even know about it. Every time he opens Twitter and starts typing someone on the other end earns money. Quietly. Methodically. Tweet by tweet. I stumbled upon this wallet by accident. Was scrolling through the Polymarket leaderboard. Looking for interesting strategies. Most tops are politics crypto mix of everything. And then I saw Prexpect → Opened the profile. Looked at positions. Closed it. Opened again. Thought it was a bug. Every position is the same market. Will Elon Musk post X tweets this week? Not ten different bets. No hedge on politics. One market. Over and over. For months. Scrolled through closed trades history. Won. Won. Won. Won. Scrolled further. Won. Won. Won. This is not trading. This is harvesting. Started breaking down how this works. Every Monday Polymarket opens fresh markets on Elon's tweets. Buckets of 20: 400-419 tweets 420-439 440-459 and so on. At the moment of opening chaos. Nobody knows where to set prices. Zero liquidity. Spreads like a canyon. Prexpect is already there. Pours in limit orders on YES at 1-2 cents across several buckets simultaneously. Becomes the order book before the order book exists. Looking at his active positions right now: 10000 shares 400-419 tweets entry 1¢ now 22¢ 10000 shares 420-439 tweets entry 1¢ now 18¢ 10000 shares 380-399 tweets entry 1¢ now 17¢ x17-x22 in a few days. The week isn't even over. But that's only half of it. Elon is a chaotic poster. 50 tweets in the morning then silence. Night raid at 3am then sleep. The market reacts slowly. People at work. People sleeping. People don't count tweets manually every hour. Prexpect counts. Imagine: you're watching football on TV. Score is 0-0. But someone at the stadium already saw the goal. For him it's 1-0. He places a bet while your picture catches up to reality. Prexpect is at the stadium. Always. Elon starts speeding up at 2am? Prexpect sees the pacing. Recalculates probabilities. Adjusts positions. By morning the market wakes up and prices have already moved. Closed positions tell the whole story: $3280 → $14871 March $11450 → $22979 November $27123 → $44597 December $41117 → $60388 January The fattest gain 353%. On tweets. Just on counting how many times a person hit Post. Scrolling further. Looking for at least one other bet. Maybe crypto. Maybe elections. Something for variety. Nothing. Only Elon. Week after week. Month after month. No diversification. No just in case. One edge sharpened to automation. While all of Twitter argues about WHAT Elon wrote one trader quietly collects money for HOW MUCH he wrote. $115314 and growing. Right now while you're reading this post Elon is possibly typing another tweet. And someone already bet on it.

Blaze

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A 17-year-old student spent $4,200 on 7 Mac minis. Small silver boxes. Stacked on a desk. Connected in one room. From the outside, it looked like a stupid purchase. But inside, it wasn't just 7 computers. It was Skills. Hooks. Memory. Worktrees. One machine handled repeatable tasks. One ran checks automatically. One kept context between sessions. Others ran parallel jobs without touching each other's work. While most people were still typing the same instructions again and again, his setup was already moving. A lot of people pay $200 a month for Claude and still use maybe 20% of it. He built a system around it. Skills turned repeated work into reusable workflows. Hooks made actions fire automatically. Memory stopped every session from starting at zero. Worktrees let multiple tasks run at the same time without collisions. That changed everything. Setup time: under 1 hour once. Time returned: 3 to 5 hours every day. He spent $4,200 once. He made $16,000 in the first week. Not because he found a secret tool. Not because he wrote magical prompts. Because he stopped using it like a chatbot and started using it like infrastructure. 7 Mac minis. 1 student. $4,200 in. $16,000 out. And most people would still call it just a stack of computers.

Gipp 🦅

21,280 Aufrufe • vor 3 Monaten

My favorite AI workflow lately is my thought-to-post pipeline. I just go on walks, have a good content idea, ramble it, and have an optimized post in my writing style without typing. It's super simple: 1. Download an AI-powered voice dictation app to your phone (I use Wispr Flow) 2. Go on long walks and let ideas flow - when you get a good one, open Wispr Flow and ramble your thoughts (doesn't need to be perfect) 3. Notes auto-save. These become the core ideas for posts later 4. Open Claude and create a new Project called "Post generator" 5. Use this prompt: "I’m going to provide you with my own written material, and your task will be to understand and mimic its style. You'll start this exercise by saying "BEGIN.” After, I'll present an example text, to which you'll respond, "CONTINUE". The process will continue similarly with another piece of writing and then with further examples. I'll give you unlimited examples. Your response will only be "CONTINUE.” You're only permitted to change your response when I tell you "FINISHED". After this, you'll explore and understand the tone, style, and characteristics of my writing based on the samples I've given. Finally, I'll prompt you to craft a new piece of writing on a specified topic, emulating my distinctive writing style" 6. Now's the fun part: Go to Twitter Analytics and download your top posts (Premium → Analytics → Content → Download button) 7. Paste your best-performing tweets into Claude repeatedly until it says "FINISHED" 8. Take your voice notes, paste them into your trained Claude Project, prompt "make a post in my writing style" 9. Post is ready to go. Polish and edit slightly *if* needed. The AI is trained on how you actually write, not generic content. Your voice notes capture your real, raw thoughts without the friction of typing. I have my best ideas while walking. If I try to write them in my notes app mid-walk, I forget halfway through. Voice dictation captures everything as I ramble. Game changer for turning scattered thoughts into polished posts!

My favorite AI workflow lately is my thought-to-post pipeline. I just go on walks, have a good content idea, ramble it, and have an optimized post in my writing style without typing. It's super simple: 1. Download an AI-powered voice dictation app to your phone (I use Wispr Flow) 2. Go on long walks and let ideas flow - when you get a good one, open Wispr Flow and ramble your thoughts (doesn't need to be perfect) 3. Notes auto-save. These become the core ideas for posts later 4. Open Claude and create a new Project called "Post generator" 5. Use this prompt: "I’m going to provide you with my own written material, and your task will be to understand and mimic its style. You'll start this exercise by saying "BEGIN.” After, I'll present an example text, to which you'll respond, "CONTINUE". The process will continue similarly with another piece of writing and then with further examples. I'll give you unlimited examples. Your response will only be "CONTINUE.” You're only permitted to change your response when I tell you "FINISHED". After this, you'll explore and understand the tone, style, and characteristics of my writing based on the samples I've given. Finally, I'll prompt you to craft a new piece of writing on a specified topic, emulating my distinctive writing style" 6. Now's the fun part: Go to Twitter Analytics and download your top posts (Premium → Analytics → Content → Download button) 7. Paste your best-performing tweets into Claude repeatedly until it says "FINISHED" 8. Take your voice notes, paste them into your trained Claude Project, prompt "make a post in my writing style" 9. Post is ready to go. Polish and edit slightly if needed. The AI is trained on how you actually write, not generic content. Your voice notes capture your real, raw thoughts without the friction of typing. I have my best ideas while walking. If I try to write them in my notes app mid-walk, I forget halfway through. Voice dictation captures everything as I ramble. Game changer for turning scattered thoughts into polished posts!

Rowan Cheung

129,419 Aufrufe • vor 10 Monaten

REVIEW TIME!!! Review: Preferredgardens “Pearlz” Lazer Gun x Zoap Grown by The Flowery (FL) Overall Comments I was really excited for this one. I waited for it to go on sale, and the batch I got was actually pretty fresh too. Unfortunately this ended up being another annoying miss from The Flowery. I used to really like them, but lately it feels like every pickup just disappoints me more and more. At this point it’s getting frustrating. Honestly, the stuff I’ve been getting from Curaleaf has been smoking 10x better than this, which is wild considering the price difference. Flavor / Accuracy Genetically this should be bringing some nice Zoap characteristics, but they barely come through. There’s a faint hint of that sweet, slightly citrusy Zoap profile hiding in the background, but it never really gets the chance to shine. The mineral taste hits hard and ends up covering most of what should have been a really nice terp profile. You can tell the Zoap is trying to be there, but it’s buried under that salty, mineral heavy smoke. Ash Super salt and pepper ash with zero resin ring. Not even a hint of one forming. It honestly didn’t even try. Effects This is really the only redeeming factor. I’m typing this review while high off it, so it definitely works. That said, the effects don’t make the experience any less annoying. I’m not mad because it’s weed and it got me high, but damn. Why does something with Zoap in the lineage end up tasting like straight minerals and salts with the good flavor buried underneath? Final Thoughts Truly disappointed here. I think this might be the last straw for me with Florida grown Preferred Gardens for a while. The genetics clearly have potential, but the execution just keeps missing.

Squirtle_Rollz

19,955 Aufrufe • vor 4 Monaten

A man with no biology degree just designed a custom cancer vaccine for his dog. It worked. Paul Conyngham adopted Rosie knowing she had cancer and months to live. He decided that was unacceptable. With no background in biology, he paid $3,000 to sequence her tumor DNA, fed the data into AI tools, identified the mutated proteins driving her cancer, and designed a bespoke mRNA vaccine from scratch. When he called the Ramaciotti Centre for Genomics to find someone who could synthesize the compound he had identified, Associate Professor Smith was floored. “Paul was relentless,” he said. “I was motivated by his enthusiasm.” The vaccine was harder to approve than it was to build. Three months of bureaucracy. Two hours every night, alone, typing up a 100-page ethics document while his dog slept beside him. One person who just wanted his dog to live. Rosie got her first injection in December. Conyngham drove 10 hours to get it to her. One tumor has already halved in size. Her coat is glossy. She looks, by every account, like a dog who is going to be fine. The professor treating her put it simply: “If we can do this for a dog, why aren’t we rolling this out to all humans with cancer?” One man, one chatbot, and $3,000. The entire pharmaceutical discovery pipeline did not see this coming. Gandalv / Gandalv

A man with no biology degree just designed a custom cancer vaccine for his dog. It worked. Paul Conyngham adopted Rosie knowing she had cancer and months to live. He decided that was unacceptable. With no background in biology, he paid $3,000 to sequence her tumor DNA, fed the data into AI tools, identified the mutated proteins driving her cancer, and designed a bespoke mRNA vaccine from scratch. When he called the Ramaciotti Centre for Genomics to find someone who could synthesize the compound he had identified, Associate Professor Smith was floored. “Paul was relentless,” he said. “I was motivated by his enthusiasm.” The vaccine was harder to approve than it was to build. Three months of bureaucracy. Two hours every night, alone, typing up a 100-page ethics document while his dog slept beside him. One person who just wanted his dog to live. Rosie got her first injection in December. Conyngham drove 10 hours to get it to her. One tumor has already halved in size. Her coat is glossy. She looks, by every account, like a dog who is going to be fine. The professor treating her put it simply: “If we can do this for a dog, why aren’t we rolling this out to all humans with cancer?” One man, one chatbot, and $3,000. The entire pharmaceutical discovery pipeline did not see this coming. Gandalv / Gandalv

Gandalv

77,358 Aufrufe • vor 4 Monaten