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@official .jgetlit is an Instagram account run by James Dekle, a content creator from Florida (often Tampa area). Key Stats (as of recent data):~910K–913K followers ~4,680 posts Very active with reels and photos Content Focus:Rizz (charisma/pick-up skills), lifestyle, curls/fitness, dating advice, and viral POV-style skits. He creates humorous or...

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Bolly Stumps

2,963 subscribers

33,300 Aufrufe • vor 3 Monaten •via X (Twitter)

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Private livecam show

3 Kommentare

Profilbild von DevilsFemboy
DevilsFemboyvor 2 Monaten

The dude takes advantage of women so he can get ass shots and profit off of them

Profilbild von Bolly Stumps
Bolly Stumpsvor 2 Monaten

True

Profilbild von DevilsFemboy
DevilsFemboyvor 2 Monaten

Its fucking disgusting and thats coming from an nsfw account 😤

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13,846 Aufrufe • vor 3 Monaten

Attention , Data and Capital rule WEB3! Kaito AI 🌊 has primed itself as the ultimate distribution center of this three! Here’s how you can make the most of KAITO,a long form post! This guide is my personal strategy to earning yaps and building long term mindshare, ignoring follower count! Let’s get into it: ⸻ What Even Is Yapping? Yapping is posting and engaging on Crypto Twitter in a way that’s: •Web3 relevant •Genuine and thoughtful •Not spammy or low effort •Seen and engaged by high reputation users Yaps are the points you earn from posts and replies, but how you earn them is what I wanna talk about now. How do you Earn Yaps? As I read from the Kaito FAQ, applied, and gotten results from, there are three things that determine how many yaps you earn and when; 1.Reputation weighted engagement: the most important one! 2.Web3 relevance: your posts MUST be relevant in Web3! 3.Insightful and original content: focus on quality over quantity! What does that actually mean? If you post a great crypto thread and no one with a good reputation in CT interacts, you likely get 0 yaps. If you post a viral meme that’s unrelated to crypto, same thing, you get 0 yaps. You need both quality and engagement from strong accounts in the Kaito inner circle. Here’s where the idea of Smart followers comes in, these are accounts with the “Inner Circle Badge” on Twitter. Their interactions on your posts or replies earn you yaps! It’s also important for you to understand Mindshare. Mindshare is simply how much conversation and attention you are able to generate around a specific project. Yaps = fuel. Mindshare = dominance. To build mindshare,: •Focus on 1 to 2 projects MAX. •Post about them 1 to 2 times daily. •Reply often to other Yappers posting about the same project •Engage directly with the project account and their team. •Watch who’s leading the mindshare leaderboard on the KAITO website and learn from their style and content. Note: Early engagement gives you a higher chance to earn more yaps. That’s why I focus on fresh or recently added projects with active or pending leaderboards. Here’s how Pick Projects to Yap About: If you know me, I’m never chasing short term hype, and I focus on long term projects. Here’s how I pick: •Projects I understand or am testing/using myself •Ones that reward Yappers in meaningful ways (roles, cash, recognition) Here are some I’m looking at right now (do your own research too!): •Monad •Lombard •burner •Kaito AI 🌊 •Succinct •Infinex (massive rewards) •Allora •Humanity •OpenLedger (hot competition) What your daily KAITO schedule should look like: 1 to 2 solid tweets per project •No low effort “gm” posts, be intentional about every single post or reply you make! •Focus on your thoughts, project features, new updates 2.Reply to official project tweets, engage on founder and team member’s accounts too! 3.Engage other Yappers talking about the same project,be a good reply guy. 4.Retweet the project’s major posts. 5.Use project specific images. 6.Keep your posts insightful and project relevant! Also, clean up your profile (your bio, banner and pinned tweet must reflect clearly that you’re active in Web3. First impressions matter when people are deciding whether to interact with your profile or not! -Some tips to grow faster as a small account on KAITO. •Subscribe to X Premium (seriously helps with visibility) •Check the Discord of the projects you support for updates. •Track Kaito’s market page to see hot Inner Circle accounts. •Engage with leaderboard users in a genuine way -What Projects should you Yap about? There are 40+ Pre TGE projects you can yap about right now under different sectors AI & Data •Allora •OpenLedger 🔥 •Camp Network •Hyperbolic . Listen to KAITO founder 👇
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92,426 Aufrufe • vor 1 Jahr

plz welcome: masscontent operator sh*ts on openclaw sh*ts on claude code sh*ts on higgsfield im pretty positive that this is the most powerful mass marketing agent on earth. just a short list of what he can do: - full phone farm integration (~$4 per account) - second brain on u and your competitors - 500+ marketing .skills pre-loaded - call 64 ai content models (50% of the cost) - build full ai vids/slides workflows in bulk (30 at once) - create consistent influencers and map them to accs - run ai theme pages by itself - auto-post everywhere via our phone farm - setup up lead mag auto-dm’s for every post - spin ai inbox agent to manage every dm and follow up - social intelligence scraping on every platform - clone viral posts with your brand + brain - fully edit every video - highly realistic Seedance 2.0 ugc - render mocked iOS app screen recs w/ your real ui - write tweets & post any render media - create saas mini-launch vids with every tweet (real ui) - scrape top ai influencer pages and clone them - use our credits or connect your anthropic key for unlimited - track posts work & edit all workflows to double down - all analytics mapped in his brain wiki - track every click and conversion event - create & post 1,000+ vids/day i’m not sure how i got here, but 2.1 million lines of code later… we are locked in. like, rt + comment “OPERATOR” and i’ll dm it to you. (must follow for dm)
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plz welcome: masscontent operator sh*ts on openclaw sh*ts on claude code sh*ts on higgsfield im pretty positive that this is the most powerful mass marketing agent on earth. just a short list of what he can do: - full phone farm integration (~$4 per account) - second brain on u and your competitors - 500+ marketing .skills pre-loaded - call 64 ai content models (50% of the cost) - build full ai vids/slides workflows in bulk (30 at once) - create consistent influencers and map them to accs - run ai theme pages by itself - auto-post everywhere via our phone farm - setup up lead mag auto-dm’s for every post - spin ai inbox agent to manage every dm and follow up - social intelligence scraping on every platform - clone viral posts with your brand + brain - fully edit every video - highly realistic Seedance 2.0 ugc - render mocked iOS app screen recs w/ your real ui - write tweets & post any render media - create saas mini-launch vids with every tweet (real ui) - scrape top ai influencer pages and clone them - use our credits or connect your anthropic key for unlimited - track posts work & edit all workflows to double down - all analytics mapped in his brain wiki - track every click and conversion event - create & post 1,000+ vids/day i’m not sure how i got here, but 2.1 million lines of code later… we are locked in. like, rt + comment “OPERATOR” and i’ll dm it to you. (must follow for dm)

Jonny Vandel

58,457 Aufrufe • vor 5 Monaten

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🚨 Dj Akademiks reacts to Grand Wizard’s latest viral posts targeting Jay-Z and Charlamagne Tha God, saying the other side made a mistake by not bringing Grand onto their team because he has become one of the most influential voices on the internet. 👀 🗣️ “They should’ve recruited Grand. He really runs the internet.” Ak addressed claims that Grand Wizard, Akademiks TV, and pro-Drake accounts are being backed by political groups or outside funding, specifically responding to allegations that MAGA money is fueling the content. 🚨 Ak completely rejected that idea. 🗣️ “Drake is my favorite rapper. He’s Grand’s favorite rapper. Everybody on my team’s favorite rapper is Drake. There’s no funding. People genuinely support the music.” According to Ak, many of the viral moments surrounding Drake aren’t the result of coordinated campaigns but simply a reflection of an extremely active online fanbase. 📌 He argued that Drake supporters naturally dominate conversations because they are highly engaged and constantly creating content, memes, clips, and reactions that spread across social media. 😂 Ak specifically praised Grand Wizard’s editing style, reacting to a viral clip that highlighted what Grand viewed as contradictions between past comments and more recent statements from Jay-Z and Charlamagne. 🗣️ “Half the time the timeline gets taken over because the fans are up. They’re running the conversation.” Ak joked that Grand Wizard consistently finds clips, interviews, and old footage that reignite debates online, making him one of the most effective creators in the current media landscape. 👀 He also suggested that some critics underestimate the impact of independent internet personalities, leading them to assume there must be financial backing behind the scenes. According to Ak, the reality is much simpler: 🗣️ “People think there’s some huge operation behind it. Nah. Grand’s a Drake fan, the audience loves Drake, and the content spreads because people engage with it.” 🔥 Ak’s overall message was that the influence of creators like Grand Wizard comes from audience support and internet culture, not from secret funding or coordinated campaign

Cousin Tino ™️

34,449 Aufrufe • vor 4 Monaten

Dawgface (Dawgface Calderon, Detroit-based content creator/rapper) and Wack 100 have an ongoing, mostly verbal/podcast feud that has played out across streams, interviews, and YouTube for a couple of years‼️. It centers on credibility, “paperwork,” selective snitch accusations, and industry/street politics‼️ Core of the conflict⁉️ Dawgface has repeatedly gone at Wack for what he sees as manipulative, selective, and destructive behavior in hip-hop media‼️. Key points he pushes⁉️: - Wack practices “selective gangsterism” — calling people rats when it suits him while associating with others who have similar allegations‼️. - Claims involving Wack’s family connections to police (around the Detroit/Inkster area) and how Wack moves when in Detroit‼️. - Accusations that Wack and associates (including figures tied to his “exposure” content) helped set up or publicly aired details that fed into cases like Big U’s‼️. - Broader view of Wack as an “evil genius” / destructive force who orchestrates drama and uses platforms for personal leverage‼️. A major flashpoint was the Tee Grizzley situation‼️. Wack (or people in his orbit) pushed claims/paperwork suggesting Grizzley was involved in something shady (often framed around snitching or a house-related incident)‼️. Dawgface, from Detroit and protective of the city’s name, called the documents fake, publicly debunked them on streams (notably Akademiks), and challenged Wack directly‼️. This produced viral “Dawgface takes Wack to court” / “destroys Wack” clips where Dawgface pressed him hard in real time‼️. There were also money challenges/bets tied to proving the paperwork‼️. They have traded shots on Akademiks streams, VladTV, Clubhouse-era content, Off the Porch interviews, and Dawgface’s own platforms‼️. Wack has fired back by questioning Dawgface’s credibility, relationships, and motives (including claims about him being a clout chaser or worse)‼️. The back-and-forth is still active — Dawgface was still criticizing Wack in a VladTV interview as recently as late August 2026‼️.
1:23

Dawgface (Dawgface Calderon, Detroit-based content creator/rapper) and Wack 100 have an ongoing, mostly verbal/podcast feud that has played out across streams, interviews, and YouTube for a couple of years‼️. It centers on credibility, “paperwork,” selective snitch accusations, and industry/street politics‼️ Core of the conflict⁉️ Dawgface has repeatedly gone at Wack for what he sees as manipulative, selective, and destructive behavior in hip-hop media‼️. Key points he pushes⁉️: - Wack practices “selective gangsterism” — calling people rats when it suits him while associating with others who have similar allegations‼️. - Claims involving Wack’s family connections to police (around the Detroit/Inkster area) and how Wack moves when in Detroit‼️. - Accusations that Wack and associates (including figures tied to his “exposure” content) helped set up or publicly aired details that fed into cases like Big U’s‼️. - Broader view of Wack as an “evil genius” / destructive force who orchestrates drama and uses platforms for personal leverage‼️. A major flashpoint was the Tee Grizzley situation‼️. Wack (or people in his orbit) pushed claims/paperwork suggesting Grizzley was involved in something shady (often framed around snitching or a house-related incident)‼️. Dawgface, from Detroit and protective of the city’s name, called the documents fake, publicly debunked them on streams (notably Akademiks), and challenged Wack directly‼️. This produced viral “Dawgface takes Wack to court” / “destroys Wack” clips where Dawgface pressed him hard in real time‼️. There were also money challenges/bets tied to proving the paperwork‼️. They have traded shots on Akademiks streams, VladTV, Clubhouse-era content, Off the Porch interviews, and Dawgface’s own platforms‼️. Wack has fired back by questioning Dawgface’s credibility, relationships, and motives (including claims about him being a clout chaser or worse)‼️. The back-and-forth is still active — Dawgface was still criticizing Wack in a VladTV interview as recently as late August 2026‼️.

(st_ides)

23,109 Aufrufe • vor 1 Monat

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.
1:07

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.

Lenny Rachitsky

75,602 Aufrufe • vor 2 Jahren

India's Vulgar Content Crisis: How Algorithms, Greed, and the Erosion of a Generation Are Colliding in 2026 In 2026, open any Indian teenager’s Instagram or YouTube Shorts feed and you’ll see it: a relentless stream of suggestive reels, borderline explicit dances, and creators pushing every boundary for clicks. What began as occasional “bold” content has now become the default algorithm diet for millions. This isn’t organic cultural evolution—it’s engineered addiction, fueled by cold, hard incentives that reward the raciest material while quietly reshaping an entire generation’s sense of normal. The Numbers Don’t Lie—And They’re Alarming Official data from the National Cyber Crime Reporting Portal shows a staggering 76,657 complaints of cybercrimes against women in 2025 alone—an increase of over 28,000 cases from the previous year. Sexually obscene material topped the list with 37,743 reports, followed closely by sexually explicit acts. At the same time, the government has issued repeated advisories to platforms demanding immediate removal of “obscene, vulgar, pornographic” content, warning of legal consequences for non-compliance. Yet the flood continues. Why? Because the system is designed to reward it. The Algorithm’s Poisonous Incentive Loop Social media platforms don’t care about culture—they care about watch time, comments, shares, and subscriptions. Provocative, sexually charged content consistently outperforms everything else: - Reels with “bold” hooks get 2–3x more watch time. - Controversial or suggestive posts trigger 4x more comments and shares. - Once a creator dips into semi-nude, twerking, or heavily sexualized fitness/glamour content, the algorithm pushes it harder—because engagement skyrockets. Creators aren’t stupid. Many started with dance, fashion, or comedy. Then they noticed the pattern: a slightly suggestive thumbnail or outfit = exponential growth. Instagram’s subscription model (where fans pay monthly for “exclusive” content) has turned this into a direct revenue stream. The more explicit the tease, the more subscribers pay to see what’s behind the paywall. It’s not art. It’s calculated escalation. Meanwhile, young viewers—especially impressionable teens—are being trained from their first scroll. The hyper-sexualization of children and teens on these platforms is no longer fringe; it’s algorithmic mainstream. Algorithms actively promote self-sexualized content from users as young as 12 because it drives insane engagement metrics. The Hidden Cultural and Psychological Cost This isn’t harmless entertainment. Constant exposure to vulgar, objectifying content is rewiring expectations: - Relationships become transactional and appearance-obsessed. - Body image issues explode among both boys and girls. - Respect, consent, and emotional depth take a backseat to shock value and dopamine hits. - A generation is learning that the fastest path to fame and money is self-objectification. India’s rich cultural heritage—rooted in restraint, family values, and spiritual depth—is being drowned out by a globalized, profit-driven race to the bottom. The same platforms that once promised connection and creativity are now the biggest distributors of cultural decay. It’s Not Just Creators—It’s Us Here’s the uncomfortable truth: every view, like, share, and subscription is a vote. We are the demand side of this supply chain. When we reward vulgarity, platforms and creators respond with more of it. The algorithm doesn’t have morals—it has metrics. We do. What Needs to Change—Now 1. Platforms must be held accountable. The government’s recent push for faster takedowns (now down to hours in some cases) and age-based classification of digital content is a start. But enforcement must be consistent and transparent. 2. Creators must choose integrity over virality. Real influence comes from substance, not skin. 3. Parents and educators need to wake up and actively monitor, discuss, and limit exposure. 4. Users must vote with their thumbs—follow, share, and pay for content that elevates rather than degrades. The sudden rise of vulgar content in India isn’t accidental. It’s the predictable outcome of unchecked algorithms meeting human greed in a hyper-connected society. If we don’t interrupt this cycle now, we won’t just lose our feeds—we’ll lose the values that define us as a civilization. The question isn’t whether this content exists. The question is: what kind of India are we building—one scroll at a time? What do you think—have you noticed this shift in your own feed? Drop your thoughts below. Let’s start the conversation that actually matters.
16:12

India's Vulgar Content Crisis: How Algorithms, Greed, and the Erosion of a Generation Are Colliding in 2026 In 2026, open any Indian teenager’s Instagram or YouTube Shorts feed and you’ll see it: a relentless stream of suggestive reels, borderline explicit dances, and creators pushing every boundary for clicks. What began as occasional “bold” content has now become the default algorithm diet for millions. This isn’t organic cultural evolution—it’s engineered addiction, fueled by cold, hard incentives that reward the raciest material while quietly reshaping an entire generation’s sense of normal. The Numbers Don’t Lie—And They’re Alarming Official data from the National Cyber Crime Reporting Portal shows a staggering 76,657 complaints of cybercrimes against women in 2025 alone—an increase of over 28,000 cases from the previous year. Sexually obscene material topped the list with 37,743 reports, followed closely by sexually explicit acts. At the same time, the government has issued repeated advisories to platforms demanding immediate removal of “obscene, vulgar, pornographic” content, warning of legal consequences for non-compliance. Yet the flood continues. Why? Because the system is designed to reward it. The Algorithm’s Poisonous Incentive Loop Social media platforms don’t care about culture—they care about watch time, comments, shares, and subscriptions. Provocative, sexually charged content consistently outperforms everything else: - Reels with “bold” hooks get 2–3x more watch time. - Controversial or suggestive posts trigger 4x more comments and shares. - Once a creator dips into semi-nude, twerking, or heavily sexualized fitness/glamour content, the algorithm pushes it harder—because engagement skyrockets. Creators aren’t stupid. Many started with dance, fashion, or comedy. Then they noticed the pattern: a slightly suggestive thumbnail or outfit = exponential growth. Instagram’s subscription model (where fans pay monthly for “exclusive” content) has turned this into a direct revenue stream. The more explicit the tease, the more subscribers pay to see what’s behind the paywall. It’s not art. It’s calculated escalation. Meanwhile, young viewers—especially impressionable teens—are being trained from their first scroll. The hyper-sexualization of children and teens on these platforms is no longer fringe; it’s algorithmic mainstream. Algorithms actively promote self-sexualized content from users as young as 12 because it drives insane engagement metrics. The Hidden Cultural and Psychological Cost This isn’t harmless entertainment. Constant exposure to vulgar, objectifying content is rewiring expectations: - Relationships become transactional and appearance-obsessed. - Body image issues explode among both boys and girls. - Respect, consent, and emotional depth take a backseat to shock value and dopamine hits. - A generation is learning that the fastest path to fame and money is self-objectification. India’s rich cultural heritage—rooted in restraint, family values, and spiritual depth—is being drowned out by a globalized, profit-driven race to the bottom. The same platforms that once promised connection and creativity are now the biggest distributors of cultural decay. It’s Not Just Creators—It’s Us Here’s the uncomfortable truth: every view, like, share, and subscription is a vote. We are the demand side of this supply chain. When we reward vulgarity, platforms and creators respond with more of it. The algorithm doesn’t have morals—it has metrics. We do. What Needs to Change—Now 1. Platforms must be held accountable. The government’s recent push for faster takedowns (now down to hours in some cases) and age-based classification of digital content is a start. But enforcement must be consistent and transparent. 2. Creators must choose integrity over virality. Real influence comes from substance, not skin. 3. Parents and educators need to wake up and actively monitor, discuss, and limit exposure. 4. Users must vote with their thumbs—follow, share, and pay for content that elevates rather than degrades. The sudden rise of vulgar content in India isn’t accidental. It’s the predictable outcome of unchecked algorithms meeting human greed in a hyper-connected society. If we don’t interrupt this cycle now, we won’t just lose our feeds—we’ll lose the values that define us as a civilization. The question isn’t whether this content exists. The question is: what kind of India are we building—one scroll at a time? What do you think—have you noticed this shift in your own feed? Drop your thoughts below. Let’s start the conversation that actually matters.

MOHINI WEALTH (NRI)

520,236 Aufrufe • vor 5 Monaten

If I was trying to GROW an app or ecomm right now, I wouldn't waste money on influencers or ads. I'd hire creators nobody's heard of and use this strategy that's working right now and generating 100k+ app installs to companies like focustree Influencer with 100k followers: $2,000+ for one post. Gets maybe 30k views. Everyone knows it's an ad. Creator with 500 followers: $900 for an entire month. Posts 30 times. Gets 500k+ views total. Feels more organic. That's $1.80 per thousand views versus $6-12 on Facebook. And it doesn't look like an ad because it isn't one. It's just content. "oH bUt ThaT's NoT PoSsIbLE, GrEG" I agree, this shouldn't work. But it's happening more and more and here's why: *new episode of the pod is live and we give you the playbook* But TikTok's For You Page broke the entire game. The algorithm doesn't care about follower count anymore. It only cares if people watch. IG copied this. YT copied this. Everyone copied this. Now some kid with 300 followers can outperform a verified influencer because their content is better. Not their audience. Their content. Most brands haven't figured this out. They're still paying for follower count like it's 2019. So, the smart play is hiring 10 creators instead of 1. Example: Pay 10 creators $900/month each. That's $9k total. Each posts daily across TikTok, Reels, Shorts. That's 900 pieces of content per month. When one hits, you message the group: "Everyone copy this format." Now 10 creators are using the winning formula with their own spin. The algorithm sees ten different videos, not reposts. One viral format becomes ten viral videos. Those teach you what works. You find the next format. It compounds. How to find creators Search your category on TikTok. You don't want influencers with media kits. You want people already making content about your space for fun. DM them: "Want $900/month to keep doing what you're doing?" They're posting anyway. Now they're getting paid. Run it through Discord or WhatsApp. Share what's working daily. "This hook is crushing." "Try this sound." Track everything. When something explodes, everyone pivots to that format until it stops working. This only works for products that make sense in 10 seconds. Apps with one clear feature. Products under $50. Anything bought on impulse. If you need a sales deck to explain it, this isn't for you. The beauty is what happens beyond direct sales. Someone sees your app on TikTok. They don't buy immediately. But next week they Google "that app from TikTok." Your search traffic spikes. Your app store ranking climbs. The halo effect is massive. Right now this is pure arbitrage. In two years, agencies will package this, prices will 10x, and the window closes. But today you can hire a creator army for what one influencer post costs. You can test more in a week than most brands test in a year. You're building a content machine. All algortihms care about nowadays is if people stop scrolling. Find creators who make people stop scrolling. Pay them to never stop posting. Share what works. Scale what hits. People charge $10k for this sort of info. We give it away for free on The Startup Ideas Podcast (SIP) 🧃 2x week. Thanks to for jumping on and sharing. We could keep this to ourselves but where is the fun in that? Fun is seeing you build a bootstrapped app to millions of users through this strategy And sending me a dm And saying "thanks for the tip, professor g" No worries, my friend No worries.
27:37

If I was trying to GROW an app or ecomm right now, I wouldn't waste money on influencers or ads. I'd hire creators nobody's heard of and use this strategy that's working right now and generating 100k+ app installs to companies like focustree Influencer with 100k followers: $2,000+ for one post. Gets maybe 30k views. Everyone knows it's an ad. Creator with 500 followers: $900 for an entire month. Posts 30 times. Gets 500k+ views total. Feels more organic. That's $1.80 per thousand views versus $6-12 on Facebook. And it doesn't look like an ad because it isn't one. It's just content. "oH bUt ThaT's NoT PoSsIbLE, GrEG" I agree, this shouldn't work. But it's happening more and more and here's why: *new episode of the pod is live and we give you the playbook* But TikTok's For You Page broke the entire game. The algorithm doesn't care about follower count anymore. It only cares if people watch. IG copied this. YT copied this. Everyone copied this. Now some kid with 300 followers can outperform a verified influencer because their content is better. Not their audience. Their content. Most brands haven't figured this out. They're still paying for follower count like it's 2019. So, the smart play is hiring 10 creators instead of 1. Example: Pay 10 creators $900/month each. That's $9k total. Each posts daily across TikTok, Reels, Shorts. That's 900 pieces of content per month. When one hits, you message the group: "Everyone copy this format." Now 10 creators are using the winning formula with their own spin. The algorithm sees ten different videos, not reposts. One viral format becomes ten viral videos. Those teach you what works. You find the next format. It compounds. How to find creators Search your category on TikTok. You don't want influencers with media kits. You want people already making content about your space for fun. DM them: "Want $900/month to keep doing what you're doing?" They're posting anyway. Now they're getting paid. Run it through Discord or WhatsApp. Share what's working daily. "This hook is crushing." "Try this sound." Track everything. When something explodes, everyone pivots to that format until it stops working. This only works for products that make sense in 10 seconds. Apps with one clear feature. Products under $50. Anything bought on impulse. If you need a sales deck to explain it, this isn't for you. The beauty is what happens beyond direct sales. Someone sees your app on TikTok. They don't buy immediately. But next week they Google "that app from TikTok." Your search traffic spikes. Your app store ranking climbs. The halo effect is massive. Right now this is pure arbitrage. In two years, agencies will package this, prices will 10x, and the window closes. But today you can hire a creator army for what one influencer post costs. You can test more in a week than most brands test in a year. You're building a content machine. All algortihms care about nowadays is if people stop scrolling. Find creators who make people stop scrolling. Pay them to never stop posting. Share what works. Scale what hits. People charge $10k for this sort of info. We give it away for free on The Startup Ideas Podcast (SIP) 🧃 2x week. Thanks to for jumping on and sharing. We could keep this to ourselves but where is the fun in that? Fun is seeing you build a bootstrapped app to millions of users through this strategy And sending me a dm And saying "thanks for the tip, professor g" No worries, my friend No worries.

GREG ISENBERG

100,585 Aufrufe • vor 1 Jahr

X's Recommendation Algorithm Analysis ===================================== Used Grok Code Fast to get a quick breakdown of X's recommendation system. What Makes a post Go Viral =========================== tldr: Engagement prediction trumps everything. Post content that generates interactions. Based on the actual algorithm code, posts that rank highest typically have: + High predicted engagement scores (ML models predict likes/reposts/replies) + Strong personalization match (SimClusters similarity to user interests) + Social graph relevance (RealGraph connections to user's network) + Media content (images/videos get engagement multipliers) + Author credibility (follower count, verification, tweepcred score) + Content quality signals (passes spam/NSFW/quality filters) + Timely relevance (freshness factor, trending topics) + Conversation potential (high reply prediction scores) The algorithm uses machine learning models to predict engagement, not simple weighted formulas. Success is measured by actual user interactions, creating a feedback loop that continuously improves ranking predictions. How the Algorithm Actually Works =============================== 1. Candidate Generation (9 sources): - Earlybird (in-network posts) ~50% - UTEG (out-of-network recommendations) - postMixer, Lists, Communities, Content Exploration - Static, Cached, Backfill sources 2. Feature Hydration (~6000 features per post): - User features (interests, behavior, demographics) - post features (text, media, metadata, engagement) - Graph features (SimClusters, RealGraph, social connections) - Real-time signals (current engagement, trending status) 3. Scoring Pipeline (4 models): - Model Scoring (NAVI heavy ranker) - Reranking Pipeline - Heuristic Scoring - Low Signal Scoring 4. Filtering (24 total filters): - 10 Global Filters (age < 48h, deduplication, location, etc.) - 14 Post-Score Filters (Grok safety, language, video duration, etc.) 5. Final Selection & Mixing: - Sort by final scores - Apply diversity rules - Mix with ads, who-to-follow, prompts - Generate timeline Key Prediction Models ==================== The algorithm predicts these engagement types: • PredictedFavoriteScore (likes) • PredictedRetweetScore (reposts) • PredictedReplyScore (replies) • PredictedGoodClickScore (meaningful clicks) • PredictedVideoQualityViewScore (video engagement) • PredictedBookmarkScore (saves) • PredictedShareScore (external shares) • PredictedDwellScore (time spent viewing) • PredictedNegativeFeedbackScore (hides/blocks) Weight System Reality ==================== IMPORTANT: The algorithm does NOT use fixed percentage weights like: ❌ Like Prediction (35%), Repost (28%), etc. ACTUAL SYSTEM: ✅ Weights are learned parameters from ML training ✅ Default values in code are 0.0 (overridden by feature flags) ✅ Weights are personalized per user and constantly A/B tested ✅ Different content types (video vs text) get different treatment ✅ Weights change based on real-time context and user state Example scoring process: 1. ML models predict engagement probabilities 2. Feature flags provide current weight multipliers 3. Personalization adjusts weights for individual user 4. Real-time context modifies final scores 5. Business rules apply quality gates and diversity What Actually Drives Viral Content ================================== Based on code analysis, viral posts typically: 1. Generate High Engagement Predictions: - Models predict high like/repost/reply probability - Content resonates with multiple user communities - Strong early engagement signals 2. Pass All Quality Gates: - Survive 24 different filter stages - Meet safety standards (not spam/NSFW/violent) - Author has good credibility signals 3. Achieve Personalization at Scale: - Match interests across diverse user segments - Trigger SimClusters similarity for many users - Connect through RealGraph social relationships 4. Optimize for Platform Mechanics: - Include media (images/videos perform better) - Post during high-activity periods - Use formats that encourage replies/reposts Key Takeaways ============= ✅ Engagement prediction is everything - the algorithm optimizes for user interactions ✅ Personalization is sophisticated - uses ML embeddings, not simple keyword matching ✅ Quality filtering is extensive - 24 stages prevent low-quality content ✅ Weights are dynamic - constantly optimized through ML and A/B testing ✅ Scale matters - system processes billions of posts daily with <50ms latenc Transparency exists - this analysis is possible because X open-sourced the algorithm The system is designed to surface content users will engage with, creating a feedback loop that rewards creators who understand their audience and produce engaging content. Bottom line: Create content that generates genuine engagement from your target audience. The algorithm will learn and amplify what works.
0:34

X's Recommendation Algorithm Analysis ===================================== Used Grok Code Fast to get a quick breakdown of X's recommendation system. What Makes a post Go Viral =========================== tldr: Engagement prediction trumps everything. Post content that generates interactions. Based on the actual algorithm code, posts that rank highest typically have: + High predicted engagement scores (ML models predict likes/reposts/replies) + Strong personalization match (SimClusters similarity to user interests) + Social graph relevance (RealGraph connections to user's network) + Media content (images/videos get engagement multipliers) + Author credibility (follower count, verification, tweepcred score) + Content quality signals (passes spam/NSFW/quality filters) + Timely relevance (freshness factor, trending topics) + Conversation potential (high reply prediction scores) The algorithm uses machine learning models to predict engagement, not simple weighted formulas. Success is measured by actual user interactions, creating a feedback loop that continuously improves ranking predictions. How the Algorithm Actually Works =============================== 1. Candidate Generation (9 sources): - Earlybird (in-network posts) ~50% - UTEG (out-of-network recommendations) - postMixer, Lists, Communities, Content Exploration - Static, Cached, Backfill sources 2. Feature Hydration (~6000 features per post): - User features (interests, behavior, demographics) - post features (text, media, metadata, engagement) - Graph features (SimClusters, RealGraph, social connections) - Real-time signals (current engagement, trending status) 3. Scoring Pipeline (4 models): - Model Scoring (NAVI heavy ranker) - Reranking Pipeline - Heuristic Scoring - Low Signal Scoring 4. Filtering (24 total filters): - 10 Global Filters (age < 48h, deduplication, location, etc.) - 14 Post-Score Filters (Grok safety, language, video duration, etc.) 5. Final Selection & Mixing: - Sort by final scores - Apply diversity rules - Mix with ads, who-to-follow, prompts - Generate timeline Key Prediction Models ==================== The algorithm predicts these engagement types: • PredictedFavoriteScore (likes) • PredictedRetweetScore (reposts) • PredictedReplyScore (replies) • PredictedGoodClickScore (meaningful clicks) • PredictedVideoQualityViewScore (video engagement) • PredictedBookmarkScore (saves) • PredictedShareScore (external shares) • PredictedDwellScore (time spent viewing) • PredictedNegativeFeedbackScore (hides/blocks) Weight System Reality ==================== IMPORTANT: The algorithm does NOT use fixed percentage weights like: ❌ Like Prediction (35%), Repost (28%), etc. ACTUAL SYSTEM: ✅ Weights are learned parameters from ML training ✅ Default values in code are 0.0 (overridden by feature flags) ✅ Weights are personalized per user and constantly A/B tested ✅ Different content types (video vs text) get different treatment ✅ Weights change based on real-time context and user state Example scoring process: 1. ML models predict engagement probabilities 2. Feature flags provide current weight multipliers 3. Personalization adjusts weights for individual user 4. Real-time context modifies final scores 5. Business rules apply quality gates and diversity What Actually Drives Viral Content ================================== Based on code analysis, viral posts typically: 1. Generate High Engagement Predictions: - Models predict high like/repost/reply probability - Content resonates with multiple user communities - Strong early engagement signals 2. Pass All Quality Gates: - Survive 24 different filter stages - Meet safety standards (not spam/NSFW/violent) - Author has good credibility signals 3. Achieve Personalization at Scale: - Match interests across diverse user segments - Trigger SimClusters similarity for many users - Connect through RealGraph social relationships 4. Optimize for Platform Mechanics: - Include media (images/videos perform better) - Post during high-activity periods - Use formats that encourage replies/reposts Key Takeaways ============= ✅ Engagement prediction is everything - the algorithm optimizes for user interactions ✅ Personalization is sophisticated - uses ML embeddings, not simple keyword matching ✅ Quality filtering is extensive - 24 stages prevent low-quality content ✅ Weights are dynamic - constantly optimized through ML and A/B testing ✅ Scale matters - system processes billions of posts daily with <50ms latenc Transparency exists - this analysis is possible because X open-sourced the algorithm The system is designed to surface content users will engage with, creating a feedback loop that rewards creators who understand their audience and produce engaging content. Bottom line: Create content that generates genuine engagement from your target audience. The algorithm will learn and amplify what works.

tetsuo

309,062 Aufrufe • vor 1 Jahr

Here’s a Summary if you’re still wondering what $LUMI is all about… A Thread 🧵🍿😁 🗓️ When did the Lumiterra Yapper Leaderboard launch? 🗓️ The Lumiterra Testnet went live on June 26, 15:30 UTC+8….and is fully on and functioning😁 The campaign is now active and will run until TGE. 📝 Do I need to sign up or register to join the leaderboard? No,Just start talking about Lumiterra on X and let Kaito do the rest by automatically tracking your posts, and your rank will update on the leaderboard ASAP. Smooth right?😉 💬 What qualifies as a “Yap”? Yaps are high-quality contributions recognized by Kaito’s algorithm, which evaluates content based on depth, originality, and engagement value. Earn yaps by talking about gameplay moments: PvP highlights, dungeon runs, livestream clips ❕creative images featuring $LUMI ❕Post guides for beginners or newly onboarded $LUMI testers ❕post hot takes about Lumi Terradas ❕Yap about Epic fails, game bugs faced in the game for easy rectification by the team ❕Post thoughtful analysis of Lumiterra’s game, token design, or reward systems. 🎁 What’s the total reward allocation for yappers? ❕A whooping 1% of total $LUMI supply has been set aside for Kaito Yappers 👀🔥🤩 - 0.6% for Lumiterra-specific contributors - 0.4% for contributors across the broader Kaito ecosystem. 📍 How do I join the Lumiterra Yapper Leaderboard? Visit:[ page, Connect your X account and and give access to Kaito AI 🌊 , start creating and sharing quality $LUMI content and replies and watch your rank rise as the leaderboard updates. 🗓️ When can I claim rewards? Reward distribution details and claiming process are TBA so stay tuned for updates from only Lumi TerradasGame official page. 📈 How can I maximize my Yapper rewards? -Engage all my $LUMI posts😁 -Post quality info and talks about $LUMI - Engage with the $LUMI community and the top Yappers and top testers like Voracytis Lark (builder mode) Dashred Inspector⚡ Vincent Duraku 0xdahua｜大华 🎮. |🧠SENT 丨 MemeMax ⚡️ and so many more🫡👀 - Share content that helps others understand the game and its ecosystem. - Show your personality —be real with yourself and the $LUMI community. 📖 Where can I learn more about Lumiterra? You can visit their X official page Lumi Terradas and join their discord community ( for a deeper understanding and guide of the ecosystem go to Wiki/guide: [LumiTerra Game Guide]( ❓When can I play Lumiterra? You can play on browser and also download through the link below WANT TO HEAR THE FUN PART? 🔓 No whitelist required 🆕 New users can create an account without needing a ref code or and access code😮‍💨 ⏳ Campaign runs until TGE 📉 Progress will not carry over to mainnet 🎮 Get ready to explore, fight, farm, and craft in the world of $LUMI.! Shout to Pshyc_ he made this possible🫡🧡 Check out this short gameplay from Inspector⚡
1:06

Here’s a Summary if you’re still wondering what $LUMI is all about… A Thread 🧵🍿😁 🗓️ When did the Lumiterra Yapper Leaderboard launch? 🗓️ The Lumiterra Testnet went live on June 26, 15:30 UTC+8….and is fully on and functioning😁 The campaign is now active and will run until TGE. 📝 Do I need to sign up or register to join the leaderboard? No,Just start talking about Lumiterra on X and let Kaito do the rest by automatically tracking your posts, and your rank will update on the leaderboard ASAP. Smooth right?😉 💬 What qualifies as a “Yap”? Yaps are high-quality contributions recognized by Kaito’s algorithm, which evaluates content based on depth, originality, and engagement value. Earn yaps by talking about gameplay moments: PvP highlights, dungeon runs, livestream clips ❕creative images featuring $LUMI ❕Post guides for beginners or newly onboarded $LUMI testers ❕post hot takes about Lumi Terradas ❕Yap about Epic fails, game bugs faced in the game for easy rectification by the team ❕Post thoughtful analysis of Lumiterra’s game, token design, or reward systems. 🎁 What’s the total reward allocation for yappers? ❕A whooping 1% of total $LUMI supply has been set aside for Kaito Yappers 👀🔥🤩 - 0.6% for Lumiterra-specific contributors - 0.4% for contributors across the broader Kaito ecosystem. 📍 How do I join the Lumiterra Yapper Leaderboard? Visit:[ page, Connect your X account and and give access to Kaito AI 🌊 , start creating and sharing quality $LUMI content and replies and watch your rank rise as the leaderboard updates. 🗓️ When can I claim rewards? Reward distribution details and claiming process are TBA so stay tuned for updates from only Lumi TerradasGame official page. 📈 How can I maximize my Yapper rewards? -Engage all my $LUMI posts😁 -Post quality info and talks about $LUMI - Engage with the $LUMI community and the top Yappers and top testers like Voracytis Lark (builder mode) Dashred Inspector⚡ Vincent Duraku 0xdahua｜大华 🎮. |🧠SENT 丨 MemeMax ⚡️ and so many more🫡👀 - Share content that helps others understand the game and its ecosystem. - Show your personality —be real with yourself and the $LUMI community. 📖 Where can I learn more about Lumiterra? You can visit their X official page Lumi Terradas and join their discord community ( for a deeper understanding and guide of the ecosystem go to Wiki/guide: [LumiTerra Game Guide]( ❓When can I play Lumiterra? You can play on browser and also download through the link below WANT TO HEAR THE FUN PART? 🔓 No whitelist required 🆕 New users can create an account without needing a ref code or and access code😮‍💨 ⏳ Campaign runs until TGE 📉 Progress will not carry over to mainnet 🎮 Get ready to explore, fight, farm, and craft in the world of $LUMI.! Shout to Pshyc_ he made this possible🫡🧡 Check out this short gameplay from Inspector⚡

UNRULY|LUMI 🀄️

17,949 Aufrufe • vor 1 Jahr

🚨 THE COMPLETE AYOMIDE SPENCER & WURA DRAMA: Full Gist for First-Timers (No Rumors, Just Facts + Spice) 🔥🍲 If you’re new to this trending madness and wondering “Who is Spencer? Why is everyone talking about noodles?”, here’s the proper, well-seasoned breakdown from start to finish. The Main Characters •Ayomide Spencer (Spencer): TikTok content creator known for flashy lifestyle videos. He has a history with multiple baby mamas and loves public displays of new relationships. •Wuraola (Wura): His current/recent baby mama and mother of his child(ren) — often referred to as twins in posts. She was the one he was flaunting online before things collapsed. •Dami: Spencer’s previous baby mama. She represents his “past chapter” of drama. •Current Wife: The married partner. Her child is involved in the co-parenting tension. How the Beef Started Spencer and Wura were doing the “blended family” thing. He posted her heavily — couple content, luxury vibes, the works. But behind the scenes, co-parenting was cracking. The trigger? Step-sibling issues. Wura allegedly refused to let their shared child get too close to the current wife’s child. Spencer disagreed. What should’ve stayed private turned into public dragging on TikTok and social media. The Noodles War (The Messy Heart of It All) This is where it went nuclear: •Wura’s Move: During the argument, she leaked Spencer’s private/intimate photos (“his noodles”) on WhatsApp — sending them to selected people or groups for embarrassment. •Spencer’s Revenge: He retaliated by posting Wura’s own intimate photos and videos publicly on TikTok. Yes — it was mutual. She leaked his first (on WhatsApp), he leaked hers bigger (on TikTok for the whole world). That’s why you hear “they posted each other’s nudes.” Both sides participated in the revenge photo leak. Why Spencer Is Catching the Most Heat •He has a pattern. With Dami before, he allegedly body-shamed her, dragged her on live videos, and disrespected her publicly during their split. •People see him repeating the same behavior with Wura (the mother of his newer child/children). •Escalating to public leaks while being a father is drawing heavy criticism: “Money can never unfoolish a nigga,” “Be stingy with your womb,” and “Pity the children” are flooding comments. Current Temperature (As of July 13) •Fresh posts and videos are still dropping today. •TikTok FYP and gist pages are full of recaps, voice notes, and clips from the saga. •Reactions range from “Both of them dey mad 😂” to full drags on Spencer for the cycle of disrespect. •The kids (especially the twins) are the main concern — many fear they’ll grow up seeing this online. The Big Takeaway (Extra Pepper) Private family fights should never reach the internet, especially when intimate photos get involved. Once nudes leak, they stay leaked forever. Red flags don’t vanish because someone has money, followers, or fine face. This is the full story — mutual leaks, blended family tension, past patterns with Dami, and why it’s trending hard. No side was perfect, but Spencer’s escalation and history made him the bigger target. Now you’re fully caught up! What do you think — Team “Both Wrong” or something else? Want me to add timelines, specific quotes, or focus on any part? Let me know and I’ll remix it! 😂🍲
0:22

🚨 THE COMPLETE AYOMIDE SPENCER & WURA DRAMA: Full Gist for First-Timers (No Rumors, Just Facts + Spice) 🔥🍲 If you’re new to this trending madness and wondering “Who is Spencer? Why is everyone talking about noodles?”, here’s the proper, well-seasoned breakdown from start to finish. The Main Characters •Ayomide Spencer (Spencer): TikTok content creator known for flashy lifestyle videos. He has a history with multiple baby mamas and loves public displays of new relationships. •Wuraola (Wura): His current/recent baby mama and mother of his child(ren) — often referred to as twins in posts. She was the one he was flaunting online before things collapsed. •Dami: Spencer’s previous baby mama. She represents his “past chapter” of drama. •Current Wife: The married partner. Her child is involved in the co-parenting tension. How the Beef Started Spencer and Wura were doing the “blended family” thing. He posted her heavily — couple content, luxury vibes, the works. But behind the scenes, co-parenting was cracking. The trigger? Step-sibling issues. Wura allegedly refused to let their shared child get too close to the current wife’s child. Spencer disagreed. What should’ve stayed private turned into public dragging on TikTok and social media. The Noodles War (The Messy Heart of It All) This is where it went nuclear: •Wura’s Move: During the argument, she leaked Spencer’s private/intimate photos (“his noodles”) on WhatsApp — sending them to selected people or groups for embarrassment. •Spencer’s Revenge: He retaliated by posting Wura’s own intimate photos and videos publicly on TikTok. Yes — it was mutual. She leaked his first (on WhatsApp), he leaked hers bigger (on TikTok for the whole world). That’s why you hear “they posted each other’s nudes.” Both sides participated in the revenge photo leak. Why Spencer Is Catching the Most Heat •He has a pattern. With Dami before, he allegedly body-shamed her, dragged her on live videos, and disrespected her publicly during their split. •People see him repeating the same behavior with Wura (the mother of his newer child/children). •Escalating to public leaks while being a father is drawing heavy criticism: “Money can never unfoolish a nigga,” “Be stingy with your womb,” and “Pity the children” are flooding comments. Current Temperature (As of July 13) •Fresh posts and videos are still dropping today. •TikTok FYP and gist pages are full of recaps, voice notes, and clips from the saga. •Reactions range from “Both of them dey mad 😂” to full drags on Spencer for the cycle of disrespect. •The kids (especially the twins) are the main concern — many fear they’ll grow up seeing this online. The Big Takeaway (Extra Pepper) Private family fights should never reach the internet, especially when intimate photos get involved. Once nudes leak, they stay leaked forever. Red flags don’t vanish because someone has money, followers, or fine face. This is the full story — mutual leaks, blended family tension, past patterns with Dami, and why it’s trending hard. No side was perfect, but Spencer’s escalation and history made him the bigger target. Now you’re fully caught up! What do you think — Team “Both Wrong” or something else? Want me to add timelines, specific quotes, or focus on any part? Let me know and I’ll remix it! 😂🍲

GraceloveFoundation

104,026 Aufrufe • vor 2 Monaten

Whitney Webb describes how shootings like Charlie Kirk's drive a Palantir-powered push (since Trump 1.0) "to legalize pre-crime" "The [idea's] to have AI scour...social media...&...use an algorithm to determine which...users [are] exhibiting...neuropsychiatric warning signs" This clip of Webb (Whitney Webb), author of One Nation Under Blackmail and contributing editor of unlimitedhangout, is taken from an interview with Marty Bent posted to the TFTC (TFTC) YouTube channel on September 27, 2025. -----------------Partial transcription of clip-------------- "What's important too is, you know, back at the end of 2019 when all this was going on, Trump, was still was in office the first time, and all of these, you know, mass shootings were happening and there was an outcry about it, like the El Paso Walmart shooting, for example, and a few other things that took place in a relatively short period of time. "And what's interesting about that is before those shootings happened, not long before, William Barr, who was Attorney General, gave this speech where he basically was like, we need to remove encryption. We have to have a federal backdoor into everything encrypted, all encrypted software. And we'll eventually get that, because what he called a galvanizing event would soon happen that would help reduce Americans' resistance to that policy. "And then all of these shootings happen. And then, in that same. And then not long after that, William Barr, makes pre crime an official policy of the Department of Justice. So he set up the infrastructure to legalize pre-crime at that time in October 2019. And so it's been being built on ever since, but they haven't really necessarily made it, deployed it massively. "But they've set up the legal infrastructure to legalize it and they created a program under which the DOJ has made a few arrests that's called DEEP. It's an acronym. I forget exactly what it stands for. But they've made a few arrests where they've arrested people preemptively for social media posts. "And then in that same period of time also Trump came out, as, and his touted response to these mass shootings was to have social media sites deploy some sort of software program that would detect shooters before they can act. So continuing to build on this pre-crime thing. "And at the time, he was being pitched, and the biggest lobbyists in the administration for it was Jared Kushner and Ivanka Trump, to create this new agency, a Health DARPA or a HARPA, they called it, and the first program of it, the, the pilot program of it was called Safe Homes, which is again another very long acronym for something that I don't remember. Sorry. But basically the idea of it was to have AI scour American social media posts en masse and then use an algorithm to determine which posts show users exhibiting early neuro psychiatric warning signs, and that if they were, you know, flagged, they could be triaged to a variety of, of solutions like Court ordered physicians or psychiatrists. Or like potentially house arrest just for having social media posts that the AI has determined is bad. It's, it's very messed up. "So, you know, ultimately they didn't make HARPA, but Biden made Harpa. It's called ARPA H. And the same architects of the Harpa that was being pitched under Trump ended up being the same architects of Biden's ARPA H. But ARPA H was sold as a cancer moonshot. We're going to cure cancer with ARPA H. But I mean, ARPA H is absolutely still around and still has these kinds of, of this kind of focus in addition to its health focus. "So, unfortunately, you know, the Trump administration, or at least Trump as a president, has that precedent from his previous administration responding to concerns about guns by being like, we should apply pre-crime to American social media posts and determine who might be a bad actor before they commit any crime. "And from the civil liberty perspective, this is terrible. And an even greater warning sign is the increasing involvement, which you brought up earlier, Marty, of Palantir in this administration. Because Palantir is, was specifically really created to be a pre-crime entity. It is a successor to this, post 9/11 program that was housed in DARPA called Total Information Awareness. And it's, it's, you know, been a Palantir since then, has been piloting predictive policing, you know, throughout the country. "I think they first started doing that in the 2014/2015 window. And you know, they, they, because of their connections, with all of, you know, pretty much every US Intelligence agency and how much data they hoover up and on every American having Palantir, you know, be involved in the government so extensively and also now in like your taxes, like their recent partnership with like the IRS and you know, with mortgages and like increasingly getting involved with finances and also, you know, running a lot of major Wall street banks. "You know, it could potentially get very, very complicated. And so we're sort of at this stage where a lot of this infrastructure is starting to come together and in order to get people to relinquish civil liberties enough to have this kind of predictive policing infrastructure be the norm, something really big has to happen. People have to get really angry and more importantly, people have to get really insecure and fearful. And so, you know, I worry that this is sort of a, you know, an important moment, an inflection point where they're going to try and start pushing us in that direction."
5:34

Whitney Webb describes how shootings like Charlie Kirk's drive a Palantir-powered push (since Trump 1.0) "to legalize pre-crime" "The [idea's] to have AI scour...social media...&...use an algorithm to determine which...users [are] exhibiting...neuropsychiatric warning signs" This clip of Webb (Whitney Webb), author of One Nation Under Blackmail and contributing editor of unlimitedhangout, is taken from an interview with Marty Bent posted to the TFTC (TFTC) YouTube channel on September 27, 2025. -----------------Partial transcription of clip-------------- "What's important too is, you know, back at the end of 2019 when all this was going on, Trump, was still was in office the first time, and all of these, you know, mass shootings were happening and there was an outcry about it, like the El Paso Walmart shooting, for example, and a few other things that took place in a relatively short period of time. "And what's interesting about that is before those shootings happened, not long before, William Barr, who was Attorney General, gave this speech where he basically was like, we need to remove encryption. We have to have a federal backdoor into everything encrypted, all encrypted software. And we'll eventually get that, because what he called a galvanizing event would soon happen that would help reduce Americans' resistance to that policy. "And then all of these shootings happen. And then, in that same. And then not long after that, William Barr, makes pre crime an official policy of the Department of Justice. So he set up the infrastructure to legalize pre-crime at that time in October 2019. And so it's been being built on ever since, but they haven't really necessarily made it, deployed it massively. "But they've set up the legal infrastructure to legalize it and they created a program under which the DOJ has made a few arrests that's called DEEP. It's an acronym. I forget exactly what it stands for. But they've made a few arrests where they've arrested people preemptively for social media posts. "And then in that same period of time also Trump came out, as, and his touted response to these mass shootings was to have social media sites deploy some sort of software program that would detect shooters before they can act. So continuing to build on this pre-crime thing. "And at the time, he was being pitched, and the biggest lobbyists in the administration for it was Jared Kushner and Ivanka Trump, to create this new agency, a Health DARPA or a HARPA, they called it, and the first program of it, the, the pilot program of it was called Safe Homes, which is again another very long acronym for something that I don't remember. Sorry. But basically the idea of it was to have AI scour American social media posts en masse and then use an algorithm to determine which posts show users exhibiting early neuro psychiatric warning signs, and that if they were, you know, flagged, they could be triaged to a variety of, of solutions like Court ordered physicians or psychiatrists. Or like potentially house arrest just for having social media posts that the AI has determined is bad. It's, it's very messed up. "So, you know, ultimately they didn't make HARPA, but Biden made Harpa. It's called ARPA H. And the same architects of the Harpa that was being pitched under Trump ended up being the same architects of Biden's ARPA H. But ARPA H was sold as a cancer moonshot. We're going to cure cancer with ARPA H. But I mean, ARPA H is absolutely still around and still has these kinds of, of this kind of focus in addition to its health focus. "So, unfortunately, you know, the Trump administration, or at least Trump as a president, has that precedent from his previous administration responding to concerns about guns by being like, we should apply pre-crime to American social media posts and determine who might be a bad actor before they commit any crime. "And from the civil liberty perspective, this is terrible. And an even greater warning sign is the increasing involvement, which you brought up earlier, Marty, of Palantir in this administration. Because Palantir is, was specifically really created to be a pre-crime entity. It is a successor to this, post 9/11 program that was housed in DARPA called Total Information Awareness. And it's, it's, you know, been a Palantir since then, has been piloting predictive policing, you know, throughout the country. "I think they first started doing that in the 2014/2015 window. And you know, they, they, because of their connections, with all of, you know, pretty much every US Intelligence agency and how much data they hoover up and on every American having Palantir, you know, be involved in the government so extensively and also now in like your taxes, like their recent partnership with like the IRS and you know, with mortgages and like increasingly getting involved with finances and also, you know, running a lot of major Wall street banks. "You know, it could potentially get very, very complicated. And so we're sort of at this stage where a lot of this infrastructure is starting to come together and in order to get people to relinquish civil liberties enough to have this kind of predictive policing infrastructure be the norm, something really big has to happen. People have to get really angry and more importantly, people have to get really insecure and fearful. And so, you know, I worry that this is sort of a, you know, an important moment, an inflection point where they're going to try and start pushing us in that direction."

Sense Receptor

30,820 Aufrufe • vor 1 Jahr

Hate, Harassment, and Doxxing from @.luckyzeall and @.Raider_DatWay Over the past week and a half I have experienced extreme harassment on both tiktok and twitch from a creator named LuckyZeal. He has gone on an aggressive smear campaign to distract from his disgusting wrongdoings and to fuel the drama that his content relies on. He posted a tiktok that now has over 100k views where he intentionally lies about the actions of @.Maseeh__ and lies about my involvement in their beef to pull me into drama. As you can see in the video attached, Lucky called upon his community to dox and harass Maseeh, even putting up a $1000 bribe. He would make up lies about Maseeh in an attempt to justify his disgusting actions. I will quickly cover them here. -Lucky called Maseeh a racist and a homophobe. This is blatantly untrue, Maseeh is a gay person of color. Lucky intentionally left out this fact in his tiktok. Maseeh has no platform to defend himself on tiktok and Lucky has been actively deleting comments that defend Maseeh or myself. -Lucky claimed Maseeh used the R-word. This is also untrue. Lucky likes to use the excuse of “it was said in my tiktok chat but nobody has the screenshot” in order to fabricate evidence and make up lies. -Lucky claims that Maseeh got his twitch channel mass reported and banned. This is false. Lucky’s channel was suspended for a few hours after an uninvolved twitch partner (who I will not name) reported him through partner support. -Lucky claims that Maseeh threatened his girlfriend. Lucky’s twitter drama with Maseeh went viral gaining hundreds of thousands of views from “stan twitter”. Random users sent terrible things to Lucky’s girlfriend. However, Maseeh had nothing to do with it and Lucky knows that. -I encourage you to read Maseeh’s full statement for more details: The attached video is disgusting behavior and is also a crime in the state of California where both Maseeh and Lucky live. In the video he also uses my name as well as my girlfriend’s name as a way to threaten Maseeh which makes me sick. I immediately cut off Lucky, which is what prompted him to start his smear campaign against me. He painted Maseeh as a racist, homophobic harasser and tied me into it by saying I was supporting and protecting Maseeh by keeping him as mod (Maseeh was also just NOT my mod LOL. He had mod badge for a bit to run preds, but it was taken away 3 weeks before the twitter incident even happened. Lucky intentionally lied about this to attach me to Maseeh.) GS Raider / @.Raider_DatWay GS Raider is an overwatch drama youtuber with over 70k subscribers. A day ago, he conspired with LuckyZeal to create a 9 minute long video where he parroted the blatant lies from Lucky and slandered my name. He would also make fun of my appearance and outright defend Lucky’s doxing. Since all of this happened, I have received extreme harassment to the point where I cannot even exist on tiktok. The harassment has also seeped over into my twitch and has made streaming miserable. I originally tried to ignore it because I know Lucky desires drama and that is the last thing I want. Unfortunately it has reached the point where I have no choice but to fight back and state my case. I am posting a tiktok alongside this tweet that I will link in the replies. I strongly encourage you to watch it. I want to make it clear that I take pride in maintaining a safe and drama free community. I desperately wish to get past this so I can go back to doing what I love.
0:35

Hate, Harassment, and Doxxing from @.luckyzeall and @.Raider_DatWay Over the past week and a half I have experienced extreme harassment on both tiktok and twitch from a creator named LuckyZeal. He has gone on an aggressive smear campaign to distract from his disgusting wrongdoings and to fuel the drama that his content relies on. He posted a tiktok that now has over 100k views where he intentionally lies about the actions of @.Maseeh__ and lies about my involvement in their beef to pull me into drama. As you can see in the video attached, Lucky called upon his community to dox and harass Maseeh, even putting up a $1000 bribe. He would make up lies about Maseeh in an attempt to justify his disgusting actions. I will quickly cover them here. -Lucky called Maseeh a racist and a homophobe. This is blatantly untrue, Maseeh is a gay person of color. Lucky intentionally left out this fact in his tiktok. Maseeh has no platform to defend himself on tiktok and Lucky has been actively deleting comments that defend Maseeh or myself. -Lucky claimed Maseeh used the R-word. This is also untrue. Lucky likes to use the excuse of “it was said in my tiktok chat but nobody has the screenshot” in order to fabricate evidence and make up lies. -Lucky claims that Maseeh got his twitch channel mass reported and banned. This is false. Lucky’s channel was suspended for a few hours after an uninvolved twitch partner (who I will not name) reported him through partner support. -Lucky claims that Maseeh threatened his girlfriend. Lucky’s twitter drama with Maseeh went viral gaining hundreds of thousands of views from “stan twitter”. Random users sent terrible things to Lucky’s girlfriend. However, Maseeh had nothing to do with it and Lucky knows that. -I encourage you to read Maseeh’s full statement for more details: The attached video is disgusting behavior and is also a crime in the state of California where both Maseeh and Lucky live. In the video he also uses my name as well as my girlfriend’s name as a way to threaten Maseeh which makes me sick. I immediately cut off Lucky, which is what prompted him to start his smear campaign against me. He painted Maseeh as a racist, homophobic harasser and tied me into it by saying I was supporting and protecting Maseeh by keeping him as mod (Maseeh was also just NOT my mod LOL. He had mod badge for a bit to run preds, but it was taken away 3 weeks before the twitter incident even happened. Lucky intentionally lied about this to attach me to Maseeh.) GS Raider / @.Raider_DatWay GS Raider is an overwatch drama youtuber with over 70k subscribers. A day ago, he conspired with LuckyZeal to create a 9 minute long video where he parroted the blatant lies from Lucky and slandered my name. He would also make fun of my appearance and outright defend Lucky’s doxing. Since all of this happened, I have received extreme harassment to the point where I cannot even exist on tiktok. The harassment has also seeped over into my twitch and has made streaming miserable. I originally tried to ignore it because I know Lucky desires drama and that is the last thing I want. Unfortunately it has reached the point where I have no choice but to fight back and state my case. I am posting a tiktok alongside this tweet that I will link in the replies. I strongly encourage you to watch it. I want to make it clear that I take pride in maintaining a safe and drama free community. I desperately wish to get past this so I can go back to doing what I love.

chosen

120,615 Aufrufe • vor 2 Jahren

What is PizzaGate? Pizzagate stems from the 2016 WikiLeaks release of John Podesta’s emails (Podesta being a senior figure in the Clinton and Obama administrations). The emails contained strange, seemingly coded references to food items like “pizza,” “hot dogs,” and “pasta” that appeared out of place in professional or casual correspondence. 🔻 Notable Examples: —— Arrangements to fly in “$40,000 worth of hot dogs” to Washington, D.C. for events—unusual for such an inexpensive item. —— References to young children (ages 7, 8, and 9) being present at private gatherings, phrased oddly (e.g., “they’ll be there first”). These did not read like typical discussions of food or logistics, prompting speculation that the terms might be euphemisms for something far more sinister, such as children or illicit activities. Comet Ping Pong, a D.C. pizzeria repeatedly mentioned in the emails for hosting political lunches and parties (including Obama visits), became central. The restaurant was owned by James Alefantis, a well-connected political insider and partner of David Brock (Media Matters founder). Its public Instagram account contained highly disturbing material for a supposed family-friendly business. 🔻 Notable Examples —— Photos of children taped to tables. —— Captions and comments joking about rape, sexual abuse, and “kill rooms.” —— Creepy imagery of kids alongside posts about celebrity and politician visits. The content raised serious red flags, but much of it was quickly removed or minimized once public attention grew. Mainstream media reframed the entire topic into an easily debunked caricature: the claim that Hillary Clinton personally ran a satanic pedophile ring out of Comet Ping Pong’s nonexistent basement. This strawman ignored the actual emails, Instagram posts, and connections, allowing the legitimate concerns to be dismissed as dangerous conspiracy nonsense. The narrative triggered mass censorship—anyone raising questions was labeled a threat, and platforms removed related content without addressing the underlying issues. The story was further buried by a dramatic event: Edgar Maddison Welch entered Comet Ping Pong armed with an AR-15, fired shots inside, injured no one, and—by extraordinary coincidence—a single bullet passed directly through the computer’s hard drive in the back office (eliminating digital evidence). He was arrested immediately, quoted saying he now believed “it wasn’t real,” and the incident was used to portray anyone questioning Pizzagate as violent and unhinged. This shifted focus from unanswered questions to the supposed dangers of “conspiracy theorists,” enabling even stricter suppression. In essence, what started as scrutiny of peculiar email language, troubling public social-media content, and elite networks of people that were very likely harming children… it was repackaged into absurdity, then “discredited” through a remarkably convenient act of apparent self-sabotage. Clip Tucker Full X
6:11

What is PizzaGate? Pizzagate stems from the 2016 WikiLeaks release of John Podesta’s emails (Podesta being a senior figure in the Clinton and Obama administrations). The emails contained strange, seemingly coded references to food items like “pizza,” “hot dogs,” and “pasta” that appeared out of place in professional or casual correspondence. 🔻 Notable Examples: —— Arrangements to fly in “$40,000 worth of hot dogs” to Washington, D.C. for events—unusual for such an inexpensive item. —— References to young children (ages 7, 8, and 9) being present at private gatherings, phrased oddly (e.g., “they’ll be there first”). These did not read like typical discussions of food or logistics, prompting speculation that the terms might be euphemisms for something far more sinister, such as children or illicit activities. Comet Ping Pong, a D.C. pizzeria repeatedly mentioned in the emails for hosting political lunches and parties (including Obama visits), became central. The restaurant was owned by James Alefantis, a well-connected political insider and partner of David Brock (Media Matters founder). Its public Instagram account contained highly disturbing material for a supposed family-friendly business. 🔻 Notable Examples —— Photos of children taped to tables. —— Captions and comments joking about rape, sexual abuse, and “kill rooms.” —— Creepy imagery of kids alongside posts about celebrity and politician visits. The content raised serious red flags, but much of it was quickly removed or minimized once public attention grew. Mainstream media reframed the entire topic into an easily debunked caricature: the claim that Hillary Clinton personally ran a satanic pedophile ring out of Comet Ping Pong’s nonexistent basement. This strawman ignored the actual emails, Instagram posts, and connections, allowing the legitimate concerns to be dismissed as dangerous conspiracy nonsense. The narrative triggered mass censorship—anyone raising questions was labeled a threat, and platforms removed related content without addressing the underlying issues. The story was further buried by a dramatic event: Edgar Maddison Welch entered Comet Ping Pong armed with an AR-15, fired shots inside, injured no one, and—by extraordinary coincidence—a single bullet passed directly through the computer’s hard drive in the back office (eliminating digital evidence). He was arrested immediately, quoted saying he now believed “it wasn’t real,” and the incident was used to portray anyone questioning Pizzagate as violent and unhinged. This shifted focus from unanswered questions to the supposed dangers of “conspiracy theorists,” enabling even stricter suppression. In essence, what started as scrutiny of peculiar email language, troubling public social-media content, and elite networks of people that were very likely harming children… it was repackaged into absurdity, then “discredited” through a remarkably convenient act of apparent self-sabotage. Clip Tucker Full X

MJTruthUltra

181,120 Aufrufe • vor 8 Monaten

If you only read one of my posts, I hope it’s this one…. No More Lies. Please share 🙏 3 key facts we know as of today and Mamdani concerns 👇 1. Official: The UK government has stated that what is happening in Gaza does not meet the legal definition of genocide. David Lammy, then Foreign Secretary, confirmed the Foreign Office found no evidence of the “specific intent” required under the Genocide Convention. Source: 2. A New York Times front page photo of an emaciated Gaza child was later corrected. The paper acknowledged the child had pre existing health conditions, not starvation due solely to current conflict. And yet the same image continues to circulate along with other photos of children who look similarly ill. Mass media keeps showing sick children but never an emaciated or thin adult. In nearly every photo the mothers are of healthy weight or overweight. BBC has also retracted countless articles. The media is not being honest. Source: 3. Social media accounts from within Gaza show normal life continuing with cafés and restaurants open food being served and no widespread rubble. Accounts like Imshin and GAZAWOOD - the PALLYWOOD saga post ongoing local Gaza footage and photos of this everyday activity and the faux propaganda. Below is a powerful video from Shai Albrecht that shows a bit more of some of the reality on the ground inside Gaza hidden to us. Many local people in Gaza have continued posting on social media to make money and keep up their social feeds knowing most people would never look them up and just go by what mass media tells them. We have been fed lies by much of the mass media and influencers (and their backers) but here is what is actually happening. Shame on those perpetuating false narratives. Shame on the pro Hamas and Free Palestine movements that perpetuated falsehoods. Follow the money - shut it down. **This post is not to deny suffering. It is to say that lies have been told to serve one agenda. Ask yourself why the world is being pushed to hate Israel and then to target Jewish people everywhere. A reminder Israel was attacked on October 7 in an unbelievably brutal way. Hostages remain in captivity. Babies, young people, and older people were killed. Soldiers had to fight a war they did not start and many have died. The emotional toll from October 7 and the war has been made worse by propaganda that fuels fear for Jewish people worldwide. That is shameful and inexcusable. If you cannot see that there is an agenda behind this, I suggest you check your moral compass. ** Note Zohran Mamdani’s role in the Free Palestine and Pro Hamas movements in New York. He has repeatedly called what is happening in Gaza a genocide, but the UK government has now declared it is not a genocide. Does he truly believe he knows more than the UK government? He has also spent his time refusing to condemn the call to globalize the intifada. Everyone knows October 7 was an example of an intifada that was globalized, and for the last two years we have seen the same narrative pushed through media campaigns, paid influencers, and paid protests targeting Israel and Jewish people. 2/3 of Mamdani’s voter base say they support his stance on Israel. But here are the facts: • The UK government has declared what is happening in Gaza is not a genocide. Article above. • President Trump emphasized this is a war that began on October 7 when Hamas attacked Israel, not a genocide • Yet Mamdani continues to repeat the genocide narrative So ask yourself: Do we want New Yorkers voting for a mayor based on a stance that is factually incorrect? Either Mamdani has been misled, or he could knowingly be misleading? You decide. Neither is strong leadership. In the mean time I think we owe Israel and the Jewish people an apology. 🙏
1:11

If you only read one of my posts, I hope it’s this one…. No More Lies. Please share 🙏 3 key facts we know as of today and Mamdani concerns 👇 1. Official: The UK government has stated that what is happening in Gaza does not meet the legal definition of genocide. David Lammy, then Foreign Secretary, confirmed the Foreign Office found no evidence of the “specific intent” required under the Genocide Convention. Source: 2. A New York Times front page photo of an emaciated Gaza child was later corrected. The paper acknowledged the child had pre existing health conditions, not starvation due solely to current conflict. And yet the same image continues to circulate along with other photos of children who look similarly ill. Mass media keeps showing sick children but never an emaciated or thin adult. In nearly every photo the mothers are of healthy weight or overweight. BBC has also retracted countless articles. The media is not being honest. Source: 3. Social media accounts from within Gaza show normal life continuing with cafés and restaurants open food being served and no widespread rubble. Accounts like Imshin and GAZAWOOD - the PALLYWOOD saga post ongoing local Gaza footage and photos of this everyday activity and the faux propaganda. Below is a powerful video from Shai Albrecht that shows a bit more of some of the reality on the ground inside Gaza hidden to us. Many local people in Gaza have continued posting on social media to make money and keep up their social feeds knowing most people would never look them up and just go by what mass media tells them. We have been fed lies by much of the mass media and influencers (and their backers) but here is what is actually happening. Shame on those perpetuating false narratives. Shame on the pro Hamas and Free Palestine movements that perpetuated falsehoods. Follow the money - shut it down. **This post is not to deny suffering. It is to say that lies have been told to serve one agenda. Ask yourself why the world is being pushed to hate Israel and then to target Jewish people everywhere. A reminder Israel was attacked on October 7 in an unbelievably brutal way. Hostages remain in captivity. Babies, young people, and older people were killed. Soldiers had to fight a war they did not start and many have died. The emotional toll from October 7 and the war has been made worse by propaganda that fuels fear for Jewish people worldwide. That is shameful and inexcusable. If you cannot see that there is an agenda behind this, I suggest you check your moral compass. ** Note Zohran Mamdani’s role in the Free Palestine and Pro Hamas movements in New York. He has repeatedly called what is happening in Gaza a genocide, but the UK government has now declared it is not a genocide. Does he truly believe he knows more than the UK government? He has also spent his time refusing to condemn the call to globalize the intifada. Everyone knows October 7 was an example of an intifada that was globalized, and for the last two years we have seen the same narrative pushed through media campaigns, paid influencers, and paid protests targeting Israel and Jewish people. 2/3 of Mamdani’s voter base say they support his stance on Israel. But here are the facts: • The UK government has declared what is happening in Gaza is not a genocide. Article above. • President Trump emphasized this is a war that began on October 7 when Hamas attacked Israel, not a genocide • Yet Mamdani continues to repeat the genocide narrative So ask yourself: Do we want New Yorkers voting for a mayor based on a stance that is factually incorrect? Either Mamdani has been misled, or he could knowingly be misleading? You decide. Neither is strong leadership. In the mean time I think we owe Israel and the Jewish people an apology. 🙏

TheJewishAlly

162,269 Aufrufe • vor 1 Jahr

Spent two hours with Marc Andreessen, who gave me a masterclass on how to think, learn, read, research, and write. Here's what I learned: 1. Read, read, read... then read some more. 2. Many of your best ideas will emerge in fits of rage or frustration. Channel the fury. Smash the keyboard. Lean into the passion. Torch the page with your energy. 3. Marc doesn't have much of a formal writing process. He thinks and thinks, and when epiphany strikes, he hammers out an outline as fast as possible to get his ideas on paper. Then, he turns it into a full article. 4. Marc's motto for writing and thinking: "Strong views, weakly held." Put yourself out there, but stay on the hunt for dissenting opinions from smart and respectful people. 5. Online writing tolerates and even encourages stylistic idiosyncrasies that traditional publishing would not accommodate. Lean into them. 6. The world is awash in bad content. You need to punch through. Snappy one-liners and genuine conviction are two ways to do that. 7. Marc's been reading online for as long as anybody on the planet, and the biggest thing that's surprised him is how political the Internet's become. Something changed between ~2013-2015. The Internet was once an escape from political debates. Now it's a hotbed of them. 8. Writing software is halfway between writing a novel and building a bridge. 9. Play around with communication tools. Push the limits. Doesn't matter what the rules are. When Marc felt constrained by Twitter's 140-character limit, he started replying to his own tweets and invented the Twitter thread. 10. On the quest for good ideas, surround yourself with "lateral thinkers" who can't help but come up with variant perspectives on everything they see. They won't always be right, but they're always challenge your thinking. 11. Media formats are cyclical. Nietzsche wrote in aphorisms and Twitter is aphorisms-as-a-service. Hip-hop brought back poetry. Montaigne pioneered the essay format and blogs brought them back into vogue. 12. People should write more manifestos. 13. Marc's nomination for the best living American novelist: James Ellroy. 14. GPT has revealed how much writing is pure pablum. Bland, lifeless, uninsightful, unoffensive, and not worth the price of the ink it was printed with. 15. "With GPT, every writer now has a writing partner who can do an infinite amount of grunt work without complaining." 16. "ChatGPT plagiarism is a complete non-issue. If you can't out-write a machine, what are you doing writing?" 17. Marc writes from the heart. He doesn't do much editing and likes to provide reading recommendations instead of directly citing his sources. 18. The person who writes down the plan in an organization has tremendous power. If you want to find the up-and-comers at a tech company, look into who's writing the plan. Though they may not be coming up with all the ideas, you'll know they have the energy, motivation, and skills to organize and communicate ideas in a written form. 19. Marc uses a barbell approach to consume information. He focuses on what's happening right now while also reading a lot of things that were written 10+ years ago. The content is either timely or timeless, with almost nothing in between. I've shared the full conversation below. If you'd rather listen on YouTube, Spotify, or Apple, check out the replies below. If there was an Olympic category for most insights per minute, Marc Andreessen 🇺🇸 would be a guaranteed medalist.
1:17:38

Spent two hours with Marc Andreessen, who gave me a masterclass on how to think, learn, read, research, and write. Here's what I learned: 1. Read, read, read... then read some more. 2. Many of your best ideas will emerge in fits of rage or frustration. Channel the fury. Smash the keyboard. Lean into the passion. Torch the page with your energy. 3. Marc doesn't have much of a formal writing process. He thinks and thinks, and when epiphany strikes, he hammers out an outline as fast as possible to get his ideas on paper. Then, he turns it into a full article. 4. Marc's motto for writing and thinking: "Strong views, weakly held." Put yourself out there, but stay on the hunt for dissenting opinions from smart and respectful people. 5. Online writing tolerates and even encourages stylistic idiosyncrasies that traditional publishing would not accommodate. Lean into them. 6. The world is awash in bad content. You need to punch through. Snappy one-liners and genuine conviction are two ways to do that. 7. Marc's been reading online for as long as anybody on the planet, and the biggest thing that's surprised him is how political the Internet's become. Something changed between ~2013-2015. The Internet was once an escape from political debates. Now it's a hotbed of them. 8. Writing software is halfway between writing a novel and building a bridge. 9. Play around with communication tools. Push the limits. Doesn't matter what the rules are. When Marc felt constrained by Twitter's 140-character limit, he started replying to his own tweets and invented the Twitter thread. 10. On the quest for good ideas, surround yourself with "lateral thinkers" who can't help but come up with variant perspectives on everything they see. They won't always be right, but they're always challenge your thinking. 11. Media formats are cyclical. Nietzsche wrote in aphorisms and Twitter is aphorisms-as-a-service. Hip-hop brought back poetry. Montaigne pioneered the essay format and blogs brought them back into vogue. 12. People should write more manifestos. 13. Marc's nomination for the best living American novelist: James Ellroy. 14. GPT has revealed how much writing is pure pablum. Bland, lifeless, uninsightful, unoffensive, and not worth the price of the ink it was printed with. 15. "With GPT, every writer now has a writing partner who can do an infinite amount of grunt work without complaining." 16. "ChatGPT plagiarism is a complete non-issue. If you can't out-write a machine, what are you doing writing?" 17. Marc writes from the heart. He doesn't do much editing and likes to provide reading recommendations instead of directly citing his sources. 18. The person who writes down the plan in an organization has tremendous power. If you want to find the up-and-comers at a tech company, look into who's writing the plan. Though they may not be coming up with all the ideas, you'll know they have the energy, motivation, and skills to organize and communicate ideas in a written form. 19. Marc uses a barbell approach to consume information. He focuses on what's happening right now while also reading a lot of things that were written 10+ years ago. The content is either timely or timeless, with almost nothing in between. I've shared the full conversation below. If you'd rather listen on YouTube, Spotify, or Apple, check out the replies below. If there was an Olympic category for most insights per minute, Marc Andreessen 🇺🇸 would be a guaranteed medalist.

David Perell

2,586,618 Aufrufe • vor 3 Jahren

Meet ‘Amelia’: the AI-generated British schoolgirl who is a far-right social media star | Ben Quinn, The Guardian In certain corners of the internet, on niche news feeds and algorithms, an AI-generated British schoolgirl has emerged as something of a phenomenon. Her name is Amelia, a purple-haired “goth girl” who proudly carries a mini union flag and appears to have a penchant for racism. If you are unfamiliar with Amelia, the chances are you will soon encounter one viral meme or another inspired by her on Facebook or X, where her reputation is growing. Videos of Amelia typically feature her walking through London, or the House of Commons, declaring her love for England and warning of the dangers of “militant Muslims” or “third-world migrants”. In one clip she is harangued by bearded man in Islamic attire for eating a pork sausage. The message is one well rehearsed on far-right social media, but it is the AI invention of Amelia that has made her endlessly adaptable, creating a viral internet trend that anyone with access to a mainstream chatbot can take part in. Users of X have turned to its Grok AI tool to create so many Amelia memes, she is now breaking out of niche online silos. The origins of the character are ironic, to say they least. An early iteration of Amelia began life in a counter-extremism video game funded by the UK Home Office and created to deter young people aged 13-18 from being attracted to far right extremism in Yorkshire. Pathways: Navigating the Internet and Extremism is a simple multiple choice format game with basic animation. Its players are taken on a journey as characters at a college. They are invited to make decisions in scenarios including whether or download potentially extremist content or join an Amelia character on a rally organised by “a small political group” protesting against changes in society and the “erosion in British values”. Certain scenarios simulated in the game result in a referral under the British government’s Prevent counter-terrorism programme. However, it is a subversion of the Amelia character that has exploded across social media channels in a way that has astonished even the creators of the original game. Among the plethora of increasingly sophisticated AI-generated iterations are a Manga-style Amelia, a Wallace and Gromit version and AI-generated “real life” encounters between her and the characters of Father Ted or Harry Potter, accompanied by racist language and far-right messaging. Analysis provided to the Guardian by Peryton Intelligence, a UK company that monitors disinformation, indicated that an anonymous account known for skilfully disseminating far-right messaging started the Amelia meme on X on 9 January with a post that has since been viewed 1.4m times. The volume of “Ameliaposting” has since gone from an average of 500 a day when that account first introduced it to the world to roughly 10,000, starting on 15 January as it hit international audiences. On Wednesday, it hit 11,137 posts on X alone. In one of the most surreal twists, an Amelia cryptocurrency has emerged, with social media users seeking to leverage its value on the meme’s rising profile. On Wednesday, Elon Musk retweeted an X account promoting an Amelia cryptocurrency token. “What we’re seeing is the monetisation of hate,” said Matteo Bergamini, the founder and CEO of Shout Out UK, a political and media literacy training company that created the original game. “We’ve seen Telegram groups all messaging each other in Chinese about the meme coin and talking about how to artificially inflate its value, so a lot of money is being made.” The company itself has been the target of a deluge of hate mail, including threats that have now been reported to the police. Bergamini points out that the original initiative was never meant to be a stand-alone game. Rather, it was intended to be used in the classrooms alongside a suite of teaching resources, a fact he says coverage and commentary has ignored. “There has been a lot of misrepresentation unfortunately,” he said. “The game does not state, for example, that questioning mass migration is inherently wrong.” Others have suggested the initiative had backfired, not least by casting a “cute goth girl” as a negative character, leading to her inadvertently becoming a focus of admiration. But Bergamini said the game – which used feedback from focus groups with young people and was developed with a specific local threat picture in mind – continued to be used and feedback from schools and others was positive. Nevertheless, the speed and sophistication surrounding the creation of supposedly subversive Amelia memes online has taken him by surprise. “This experience has shown us why this work is so immensely important, but also gives us pause for thought about our safety in conducting this work due to the highly sophisticated coordination of those who profit from hate,” he said. Siddharth Venkataramakrishnan, an analyst at the Institute for Strategic Dialogue (ISD), said: “We have seen the meme having a remarkable spread and proliferating among the far right and beyond, but what’s also been of note is how it is now international. “In a way it gets to the heart of what we might term the ‘dissident’ far-right – individuals who position themselves outside of the mainstream political scene – whether that’s ‘shitposters’ who are just into provoking, others who are in twee memes. A whole ecosystem has embraced it. Clearly, the sexualised imagery is also key to this. The target audience is almost exclusively young men.” The Home Office said Prevent had diverted nearly 6,000 people away from violent ideologies. It added that projects such as the Pathways game were designed to target local radicalisation risks and were created and delivered independently of government.
0:46

Meet ‘Amelia’: the AI-generated British schoolgirl who is a far-right social media star | Ben Quinn, The Guardian In certain corners of the internet, on niche news feeds and algorithms, an AI-generated British schoolgirl has emerged as something of a phenomenon. Her name is Amelia, a purple-haired “goth girl” who proudly carries a mini union flag and appears to have a penchant for racism. If you are unfamiliar with Amelia, the chances are you will soon encounter one viral meme or another inspired by her on Facebook or X, where her reputation is growing. Videos of Amelia typically feature her walking through London, or the House of Commons, declaring her love for England and warning of the dangers of “militant Muslims” or “third-world migrants”. In one clip she is harangued by bearded man in Islamic attire for eating a pork sausage. The message is one well rehearsed on far-right social media, but it is the AI invention of Amelia that has made her endlessly adaptable, creating a viral internet trend that anyone with access to a mainstream chatbot can take part in. Users of X have turned to its Grok AI tool to create so many Amelia memes, she is now breaking out of niche online silos. The origins of the character are ironic, to say they least. An early iteration of Amelia began life in a counter-extremism video game funded by the UK Home Office and created to deter young people aged 13-18 from being attracted to far right extremism in Yorkshire. Pathways: Navigating the Internet and Extremism is a simple multiple choice format game with basic animation. Its players are taken on a journey as characters at a college. They are invited to make decisions in scenarios including whether or download potentially extremist content or join an Amelia character on a rally organised by “a small political group” protesting against changes in society and the “erosion in British values”. Certain scenarios simulated in the game result in a referral under the British government’s Prevent counter-terrorism programme. However, it is a subversion of the Amelia character that has exploded across social media channels in a way that has astonished even the creators of the original game. Among the plethora of increasingly sophisticated AI-generated iterations are a Manga-style Amelia, a Wallace and Gromit version and AI-generated “real life” encounters between her and the characters of Father Ted or Harry Potter, accompanied by racist language and far-right messaging. Analysis provided to the Guardian by Peryton Intelligence, a UK company that monitors disinformation, indicated that an anonymous account known for skilfully disseminating far-right messaging started the Amelia meme on X on 9 January with a post that has since been viewed 1.4m times. The volume of “Ameliaposting” has since gone from an average of 500 a day when that account first introduced it to the world to roughly 10,000, starting on 15 January as it hit international audiences. On Wednesday, it hit 11,137 posts on X alone. In one of the most surreal twists, an Amelia cryptocurrency has emerged, with social media users seeking to leverage its value on the meme’s rising profile. On Wednesday, Elon Musk retweeted an X account promoting an Amelia cryptocurrency token. “What we’re seeing is the monetisation of hate,” said Matteo Bergamini, the founder and CEO of Shout Out UK, a political and media literacy training company that created the original game. “We’ve seen Telegram groups all messaging each other in Chinese about the meme coin and talking about how to artificially inflate its value, so a lot of money is being made.” The company itself has been the target of a deluge of hate mail, including threats that have now been reported to the police. Bergamini points out that the original initiative was never meant to be a stand-alone game. Rather, it was intended to be used in the classrooms alongside a suite of teaching resources, a fact he says coverage and commentary has ignored. “There has been a lot of misrepresentation unfortunately,” he said. “The game does not state, for example, that questioning mass migration is inherently wrong.” Others have suggested the initiative had backfired, not least by casting a “cute goth girl” as a negative character, leading to her inadvertently becoming a focus of admiration. But Bergamini said the game – which used feedback from focus groups with young people and was developed with a specific local threat picture in mind – continued to be used and feedback from schools and others was positive. Nevertheless, the speed and sophistication surrounding the creation of supposedly subversive Amelia memes online has taken him by surprise. “This experience has shown us why this work is so immensely important, but also gives us pause for thought about our safety in conducting this work due to the highly sophisticated coordination of those who profit from hate,” he said. Siddharth Venkataramakrishnan, an analyst at the Institute for Strategic Dialogue (ISD), said: “We have seen the meme having a remarkable spread and proliferating among the far right and beyond, but what’s also been of note is how it is now international. “In a way it gets to the heart of what we might term the ‘dissident’ far-right – individuals who position themselves outside of the mainstream political scene – whether that’s ‘shitposters’ who are just into provoking, others who are in twee memes. A whole ecosystem has embraced it. Clearly, the sexualised imagery is also key to this. The target audience is almost exclusively young men.” The Home Office said Prevent had diverted nearly 6,000 people away from violent ideologies. It added that projects such as the Pathways game were designed to target local radicalisation risks and were created and delivered independently of government.

Owen Gregorian

80,105 Aufrufe • vor 8 Monaten

Professor Jiang Xueqin Jiang Xueqin the Beijing-based educator and self-styled “predictive historian,” has gained viral traction in mainstream media and online circles for his supposed geopolitical foresight. Dubbed “China’s Nostradamus” by some outlets, he’s been celebrated for forecasting Donald Trump’s 2024 election win and the subsequent U.S. escalation into war with Iran - predictions he laid out in a 2024 lecture. Yet these “prophecies” hardly qualify as strokes of genius. Trump’s victory was a widely discussed possibility among countless observers (including many on social media who documented their calls early), and the path to Iran conflict was telegraphed by Trump’s first-term actions, like the 2020 assassination of IRGC commander Qasem Soleimani in Iraq, which ratcheted up tensions dramatically. More concerning are Jiang’s recent takes on the ongoing conflict, which carry a subtle, agenda-driven undertone. He predicts Dubai’s economic allure will collapse amid the chaos, then pivots to suggesting Gulf capital will flee to Singapore, Malaysia, and Hong Kong - nations already awash in inflows but conveniently positioned as “safe” alternatives in his narrative, almost as if nudging stakeholders toward specific destinations. Even more alarming is his apparent enthusiasm for Iran targeting GCC water desalination plants, framing them as strategic “lifeblood” vulnerabilities. Recent unverified claims from Bahrain of an Iranian drone strike damaging one of its plants (while Iran accuses the U.S. of hitting its own facilities) remain contested - raising questions about whether such incidents are genuine or staged for sympathy and escalation. Jiang’s rhetoric seems to egg on destructive outcomes rather than analyze them neutrally. His appearance on SNEAKO’s livestream further raises red flags, aligning him with fringe, controversial platforms that often amplify provocative or conspiratorial voices. A TikTok creator recently used AI tools and modeling software to dissect Jiang’s YouTube content, highlighting glaring factual inaccuracies and inconsistencies that undermine his credibility. Overall, Jiang appears to be transitioning from obscure lecturer to establishment-adjacent influencer - pushing narratives that manipulate perceptions and subtly steer outcomes under the guise of bold prediction. His theories warrant far more scrutiny, as the line between insight and agenda-driven spin is growing dangerously thin.
2:47

Professor Jiang Xueqin Jiang Xueqin the Beijing-based educator and self-styled “predictive historian,” has gained viral traction in mainstream media and online circles for his supposed geopolitical foresight. Dubbed “China’s Nostradamus” by some outlets, he’s been celebrated for forecasting Donald Trump’s 2024 election win and the subsequent U.S. escalation into war with Iran - predictions he laid out in a 2024 lecture. Yet these “prophecies” hardly qualify as strokes of genius. Trump’s victory was a widely discussed possibility among countless observers (including many on social media who documented their calls early), and the path to Iran conflict was telegraphed by Trump’s first-term actions, like the 2020 assassination of IRGC commander Qasem Soleimani in Iraq, which ratcheted up tensions dramatically. More concerning are Jiang’s recent takes on the ongoing conflict, which carry a subtle, agenda-driven undertone. He predicts Dubai’s economic allure will collapse amid the chaos, then pivots to suggesting Gulf capital will flee to Singapore, Malaysia, and Hong Kong - nations already awash in inflows but conveniently positioned as “safe” alternatives in his narrative, almost as if nudging stakeholders toward specific destinations. Even more alarming is his apparent enthusiasm for Iran targeting GCC water desalination plants, framing them as strategic “lifeblood” vulnerabilities. Recent unverified claims from Bahrain of an Iranian drone strike damaging one of its plants (while Iran accuses the U.S. of hitting its own facilities) remain contested - raising questions about whether such incidents are genuine or staged for sympathy and escalation. Jiang’s rhetoric seems to egg on destructive outcomes rather than analyze them neutrally. His appearance on SNEAKO’s livestream further raises red flags, aligning him with fringe, controversial platforms that often amplify provocative or conspiratorial voices. A TikTok creator recently used AI tools and modeling software to dissect Jiang’s YouTube content, highlighting glaring factual inaccuracies and inconsistencies that undermine his credibility. Overall, Jiang appears to be transitioning from obscure lecturer to establishment-adjacent influencer - pushing narratives that manipulate perceptions and subtly steer outcomes under the guise of bold prediction. His theories warrant far more scrutiny, as the line between insight and agenda-driven spin is growing dangerously thin.

Francis Gaitho

28,726 Aufrufe • vor 6 Monaten