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Code Violet is dropping tomorrow, but review scores are looking pretty dubious, and after the whole no PC release fiasco it’s audience is limited 😬 Play or Pass?? 👀 ✅IGN: 4/10 - “Not the Dino Crisis successor… bad clone” (noting bugs, poor shooting, boring levels) ✅Push Square: 4/10 -...

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JaePlayzGamez

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11,430 views • 7 months ago •via X (Twitter)

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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

308,390 views • 11 months ago

10 agent evals for AI engineers: (explained with usage) 1) golden set → a fixed set of cases you never edit, run on every single change. → use as the baseline that tells you whether anything moved at all. 2) llm as judge → a second model scores the output against a written rubric. → use when the answer is open-ended and there is no string to match against. 3) rubric scoring → one number per dimension: correctness, tone, safety, cost. → use when a single score hides which part actually got worse. 4) trajectory eval → grade the path the agent took, not only the answer it landed on. → use when the right answer for the wrong reason is going to bite you later. 5) tool unit tests → test each tool on its own, with fixtures, no model in the loop. → use always. most agent bugs are tool bugs wearing a costume. 6) regression suite → replay past runs against the new prompt or model and diff the results. → use before every prompt change, because prompts have no type system. 7) a/b in prod → split live traffic between two versions and compare outcomes, not vibes. → use when offline scores stopped predicting what users actually do. 8) human review → sample a slice of runs and have a person grade them honestly. → use to calibrate your judge, because a judge nobody checks quietly drifts. 9) shadow run → the candidate runs on real traffic in parallel and its output is shown to nobody. → use before a risky rollout, when one bad answer would be expensive. 10) red team → deliberately attack it: jailbreaks, injection, exfil, tool abuse. → use before anyone external can reach it, not after. offline evals tell you it works. online evals tell you it still works. both sides matter, but not all ten do. run the two that would have caught your last outage. save this. then read the full breakdown on loop engineering below.
0:40

10 agent evals for AI engineers: (explained with usage) 1) golden set → a fixed set of cases you never edit, run on every single change. → use as the baseline that tells you whether anything moved at all. 2) llm as judge → a second model scores the output against a written rubric. → use when the answer is open-ended and there is no string to match against. 3) rubric scoring → one number per dimension: correctness, tone, safety, cost. → use when a single score hides which part actually got worse. 4) trajectory eval → grade the path the agent took, not only the answer it landed on. → use when the right answer for the wrong reason is going to bite you later. 5) tool unit tests → test each tool on its own, with fixtures, no model in the loop. → use always. most agent bugs are tool bugs wearing a costume. 6) regression suite → replay past runs against the new prompt or model and diff the results. → use before every prompt change, because prompts have no type system. 7) a/b in prod → split live traffic between two versions and compare outcomes, not vibes. → use when offline scores stopped predicting what users actually do. 8) human review → sample a slice of runs and have a person grade them honestly. → use to calibrate your judge, because a judge nobody checks quietly drifts. 9) shadow run → the candidate runs on real traffic in parallel and its output is shown to nobody. → use before a risky rollout, when one bad answer would be expensive. 10) red team → deliberately attack it: jailbreaks, injection, exfil, tool abuse. → use before anyone external can reach it, not after. offline evals tell you it works. online evals tell you it still works. both sides matter, but not all ten do. run the two that would have caught your last outage. save this. then read the full breakdown on loop engineering below.

Hanako

149,899 views • 19 days ago

Crimson Desert previews are here and overall, content creators are impressed with the game: - Open world is gorgeous, the game ran remarkably well on this PC build with no FPS drops (7900XTX GPU), the draw distance is insane - Crimson Desert does not hold your hand, there are genuinely difficult puzzles and no yellow paint to guide you, with a ton of mechanics in combat and exploration that all come together and are up to the player to use - Every single questline's cutscenes are motion captured and animated, it does not use generic animations (at least for main quests) - MMO roots from Black Desert are obvious, the skill tree is deeply involved and each build feels entirely unique - Combat is reportedly "really good" with a ton of complex mechanics and great animations - NPCs don't have schedules like a Kingdom Come 2 or Skyrim, they are mostly static but they will react to your actions and there is a full crimes system that you can mess with - You can set arrows on fires by aiming towards any source of fire then shooting, this is used in environmental puzzles. Another way to set things on fire is by pressing down both bumpers which causes Kliff to hold up his sword to reflect the sun's light onto things to set them on fire - Quest givers will contact you by sending a bird with a letter, this will happen naturally in the open world - Exploration is fantastic, each location is entirely unique and you can utilize all the different abilities in unique ways, for example you can launch yourself across a wall OR use a dragon to fly in OR climb it - Boss fights are very advanced, each one is unique with their design and movesets - Side Quests and Random Events are fun, some are as small as rescuing a cat from a rooftop, others are more major storylines - Some quest bugs were seen, but no optimization issues, when they were switched to an Endgame save, many reported a higher number of bugs and glitches but nothing game-breaking. - There are combat finishers and they are unique for each weapon type - Combos are available and they are unique for every single weapon type, there are many button combinations to apply these in combat - Some content creators complained that the puzzles were too confusing as they utilize a very specific ability at times and its hard to keep track of all the abilities that you have - You can buy food or cook it, or hunt and sell that meat - Content creators all loved it, they played 6+ hours and had fun, saying that they just want to play more afterwards - Controls however are described as complex and may be clunky as there are a many button combinations for unique actions It seems like Crimson Desert is shaping up to be a genuinely great game, we are yet to see console footage but if the amazing optimization for PC is anything to go by, we likely have little to worry about. Crimson Desert is dropping on March 19th, I cannot wait!
0:50

Crimson Desert previews are here and overall, content creators are impressed with the game: - Open world is gorgeous, the game ran remarkably well on this PC build with no FPS drops (7900XTX GPU), the draw distance is insane - Crimson Desert does not hold your hand, there are genuinely difficult puzzles and no yellow paint to guide you, with a ton of mechanics in combat and exploration that all come together and are up to the player to use - Every single questline's cutscenes are motion captured and animated, it does not use generic animations (at least for main quests) - MMO roots from Black Desert are obvious, the skill tree is deeply involved and each build feels entirely unique - Combat is reportedly "really good" with a ton of complex mechanics and great animations - NPCs don't have schedules like a Kingdom Come 2 or Skyrim, they are mostly static but they will react to your actions and there is a full crimes system that you can mess with - You can set arrows on fires by aiming towards any source of fire then shooting, this is used in environmental puzzles. Another way to set things on fire is by pressing down both bumpers which causes Kliff to hold up his sword to reflect the sun's light onto things to set them on fire - Quest givers will contact you by sending a bird with a letter, this will happen naturally in the open world - Exploration is fantastic, each location is entirely unique and you can utilize all the different abilities in unique ways, for example you can launch yourself across a wall OR use a dragon to fly in OR climb it - Boss fights are very advanced, each one is unique with their design and movesets - Side Quests and Random Events are fun, some are as small as rescuing a cat from a rooftop, others are more major storylines - Some quest bugs were seen, but no optimization issues, when they were switched to an Endgame save, many reported a higher number of bugs and glitches but nothing game-breaking. - There are combat finishers and they are unique for each weapon type - Combos are available and they are unique for every single weapon type, there are many button combinations to apply these in combat - Some content creators complained that the puzzles were too confusing as they utilize a very specific ability at times and its hard to keep track of all the abilities that you have - You can buy food or cook it, or hunt and sell that meat - Content creators all loved it, they played 6+ hours and had fun, saying that they just want to play more afterwards - Controls however are described as complex and may be clunky as there are a many button combinations for unique actions It seems like Crimson Desert is shaping up to be a genuinely great game, we are yet to see console footage but if the amazing optimization for PC is anything to go by, we likely have little to worry about. Crimson Desert is dropping on March 19th, I cannot wait!

Synth Potato🥔

342,873 views • 5 months ago

FT Spurs 0 v 3 Nottingham Forest We are in serious trouble make no mistake about it,mid March and we still have no wins it’s just an unbelievably bad situation. 2 games against them we’ve conceded 6 and scored 0 😡 We lost to a shambolic second half from Forest in reality. You can’t say they didn’t try but we just weren’t good enough. How we ended the 1st half 1 down. I’ll never know. We had so much pressure on their goal. I was worried when it was announced Michael Oliver was our ref today. He gives us nothing, and so it came to be a couple of penalty shouts and every decision against us. Gray, Tel, and Danso did so well in that half, but again we were undone at a corner. Igor Jesus heading in after losing Spence,not long after a great shot from Tel was brilliantly saved. I think we deserved better. For the possession, we needed more shots on target. Tudor took off Spence and MVDV off at HT, which was a bit of a surprise to me. Maybe it was the poor late goal at HT. 🤷🏻‍♂️ Leaving Porro on Hudson Odoi was always going to end badly, and it did as he crossed for MGW to score. 😡 How Oliver allowed Sangare to stay on the pitch after a clear 2nd yellow on Simmons was beyond me . Bringing on Udogie didn’t work out he was poor in fact none of the subs worked to push us forward the 2nd half was terrible and it was Forest that played in Europe on Thursday. Now with a 3 week break will the club stick or twist on Tudor. It’s looking more like Lincoln away Olé Olé We go again v Sunderland For Clarity it’s ENIC who have put us in this situation I said it in the video but it ain’t enough for some fans here so here it is in written form for you ok 😡👊🏼 #COYS 🤍💙
2:52

FT Spurs 0 v 3 Nottingham Forest We are in serious trouble make no mistake about it,mid March and we still have no wins it’s just an unbelievably bad situation. 2 games against them we’ve conceded 6 and scored 0 😡 We lost to a shambolic second half from Forest in reality. You can’t say they didn’t try but we just weren’t good enough. How we ended the 1st half 1 down. I’ll never know. We had so much pressure on their goal. I was worried when it was announced Michael Oliver was our ref today. He gives us nothing, and so it came to be a couple of penalty shouts and every decision against us. Gray, Tel, and Danso did so well in that half, but again we were undone at a corner. Igor Jesus heading in after losing Spence,not long after a great shot from Tel was brilliantly saved. I think we deserved better. For the possession, we needed more shots on target. Tudor took off Spence and MVDV off at HT, which was a bit of a surprise to me. Maybe it was the poor late goal at HT. 🤷🏻‍♂️ Leaving Porro on Hudson Odoi was always going to end badly, and it did as he crossed for MGW to score. 😡 How Oliver allowed Sangare to stay on the pitch after a clear 2nd yellow on Simmons was beyond me . Bringing on Udogie didn’t work out he was poor in fact none of the subs worked to push us forward the 2nd half was terrible and it was Forest that played in Europe on Thursday. Now with a 3 week break will the club stick or twist on Tudor. It’s looking more like Lincoln away Olé Olé We go again v Sunderland For Clarity it’s ENIC who have put us in this situation I said it in the video but it ain’t enough for some fans here so here it is in written form for you ok 😡👊🏼 #COYS 🤍💙

Jonny H

78,099 views • 4 months ago

Yesterday, iVisionSR and BennoJr attempted to rob $1,262 from our tournament prizepool solely relying on the fact that no one else in the tournament spoke Dutch. Here's the breakdown of the leaderboard that we THOUGHT happened based on scores submitted 1. BennoJr, iVisionSR, (3rd not named) - 177.6 2. Bread, Lulla, Skullface - 176.15 That was until 3 separate viewers came forward with translations from Vision & Benno's stream (since been unpublished, however I have the clips), indicating they had purposefully miscalculated their score in order to beat us by a little over a point. Here's how the leaderboard looks without their false reporting 1. Bread, Lulla, Skullface - 176.15 2. BennoJr, iVisionSR, (3rd not named) - 175.4 Translated from their Vod (clip below) iVision: "Um Benno, You have to add an extra point to our score yes?" Benno: "Yes that's ok." iVision: "or just add 10 or something" Benno: "Yes I will" iVision: "Then you can say, the 0 was added by accident" Benno: "Or we should add a placement, I'm going to add extra placement" On top of purposefully reporting their scores incorrectly to take 1st over 2nd, they also attempted to have points taken away from us for an infraction that occurred in the first game (accidental portable Radar throw from Lulla). The Admin reviewed and decided that unless there was any kills or info taken from this, it was an accident and shouldn't be punished as all three of us died right after. I have absolutely no gripe with people trying to debate rules and the integrity of the tournament, that's completely fine. The Admin will always determine the outcome of those scenarios, that's what they exist for. What I have an issue with, and can't comprehend myself, is that not only would they attempt to take points away from us for an infraction that changed nothing (petty is what I would call it at the bare minimum) but go out of their way to lie about their scores in such a blatant way, thinking no one would fact check them when $2,000 is on the line. The balls it takes to be lying while attempting to "bring justice" is insane. Their incorrect score reports are shown here Game 2: Kills (11) Placement (7th - 1.3x) Actual Game 2: Kills (11) Placement (5th - 1.5x) Game 4: Kills (4) Placement (28th - 1.1x) Actual Game 4: Kills (4) Placement (25th - 1.2x) Game 6: Kills (12) Placement (15th - 1.2x) Actual Game 6: Kills (12) Placement (13th - 1.2x) Netting them an extra 2.2 points (just enough to beat us) These score miscalculations would regularly seem like such a minor difference, but when the leaderboard is so close like it was yesterday, it is clear they were trying to beat the system. People break rules in tournaments all the time, knowingly or unknowingly. I died to a Katt AMR yesterday when they were banned, die to portable radars all of the time while they're banned, and still do not lie about my scores with money involved. I look at this situation similar to cheating. Vision and Benno purposefully attempted to take 1st while rightfully in 2nd place, the difference of $1,262 for their team or $148.50. None of this ever would've been found if not for a couple different viewers taking the time to translate their conversations. Thank you Flexxal, Parteroni, SuperJoe, Johan, and Lulla for taking the time to go through their scores. Second clip translation Vision: "Benno, you can't deal with numbers. Actually, you shouldn't do those scores at all things are going completely wrong changing and stuff. If they ask why did you do it, just say I'm bad with numbers." Benno: "Yes, I have discalculate. That's when you see a 1 instead of a 4, I'm just going to say that my parents taught me to round up haha." I can't describe how unhappy this whole situation makes me. If they're willing to ruin the integrity of a Twitter tournament, imagine what lengths they'd go to when real money is involved. All other proof will be linked below if you're interested in viewing it, I cannot believe how grimy people can be over money. Lastly, they will clearly never be invited to another one of our tournaments again, and hopefully others catch on. This type of behavior cannot be ramified short-term, it is stealing.
0:31

Yesterday, iVisionSR and BennoJr attempted to rob $1,262 from our tournament prizepool solely relying on the fact that no one else in the tournament spoke Dutch. Here's the breakdown of the leaderboard that we THOUGHT happened based on scores submitted 1. BennoJr, iVisionSR, (3rd not named) - 177.6 2. Bread, Lulla, Skullface - 176.15 That was until 3 separate viewers came forward with translations from Vision & Benno's stream (since been unpublished, however I have the clips), indicating they had purposefully miscalculated their score in order to beat us by a little over a point. Here's how the leaderboard looks without their false reporting 1. Bread, Lulla, Skullface - 176.15 2. BennoJr, iVisionSR, (3rd not named) - 175.4 Translated from their Vod (clip below) iVision: "Um Benno, You have to add an extra point to our score yes?" Benno: "Yes that's ok." iVision: "or just add 10 or something" Benno: "Yes I will" iVision: "Then you can say, the 0 was added by accident" Benno: "Or we should add a placement, I'm going to add extra placement" On top of purposefully reporting their scores incorrectly to take 1st over 2nd, they also attempted to have points taken away from us for an infraction that occurred in the first game (accidental portable Radar throw from Lulla). The Admin reviewed and decided that unless there was any kills or info taken from this, it was an accident and shouldn't be punished as all three of us died right after. I have absolutely no gripe with people trying to debate rules and the integrity of the tournament, that's completely fine. The Admin will always determine the outcome of those scenarios, that's what they exist for. What I have an issue with, and can't comprehend myself, is that not only would they attempt to take points away from us for an infraction that changed nothing (petty is what I would call it at the bare minimum) but go out of their way to lie about their scores in such a blatant way, thinking no one would fact check them when $2,000 is on the line. The balls it takes to be lying while attempting to "bring justice" is insane. Their incorrect score reports are shown here Game 2: Kills (11) Placement (7th - 1.3x) Actual Game 2: Kills (11) Placement (5th - 1.5x) Game 4: Kills (4) Placement (28th - 1.1x) Actual Game 4: Kills (4) Placement (25th - 1.2x) Game 6: Kills (12) Placement (15th - 1.2x) Actual Game 6: Kills (12) Placement (13th - 1.2x) Netting them an extra 2.2 points (just enough to beat us) These score miscalculations would regularly seem like such a minor difference, but when the leaderboard is so close like it was yesterday, it is clear they were trying to beat the system. People break rules in tournaments all the time, knowingly or unknowingly. I died to a Katt AMR yesterday when they were banned, die to portable radars all of the time while they're banned, and still do not lie about my scores with money involved. I look at this situation similar to cheating. Vision and Benno purposefully attempted to take 1st while rightfully in 2nd place, the difference of $1,262 for their team or $148.50. None of this ever would've been found if not for a couple different viewers taking the time to translate their conversations. Thank you Flexxal, Parteroni, SuperJoe, Johan, and Lulla for taking the time to go through their scores. Second clip translation Vision: "Benno, you can't deal with numbers. Actually, you shouldn't do those scores at all things are going completely wrong changing and stuff. If they ask why did you do it, just say I'm bad with numbers." Benno: "Yes, I have discalculate. That's when you see a 1 instead of a 4, I'm just going to say that my parents taught me to round up haha." I can't describe how unhappy this whole situation makes me. If they're willing to ruin the integrity of a Twitter tournament, imagine what lengths they'd go to when real money is involved. All other proof will be linked below if you're interested in viewing it, I cannot believe how grimy people can be over money. Lastly, they will clearly never be invited to another one of our tournaments again, and hopefully others catch on. This type of behavior cannot be ramified short-term, it is stealing.

bread

1,637,982 views • 2 years ago

My official resignation from playstation video Due to corruption and oppression with evidence. The translation isnt very accurate and goes fast sometimes so i will write the story here. I know its a long video but its a must watch -------- Keep in mind this isnt about you support or hate me.. its about sensitive data leakage and company corruption so everyone is in it! -------- I was going to release this video few months back but i held back due to the problem being solved and i kept quiet. Here is my story before i start i want to introduce my self to the people who dont know me. My name is AbdulHakam AKA Hakoom i love playing video games since the 80s and got hooked up with the playstation brand back in 1996.. in 2007 the online system came on the ps3 and i created my playstation acc back then, later on playstation released the trophy system and i was able to achieve the 1st rank in 2009 and in 2018/2019 i entered Guinness 5 times.. later at 2021 i retired unofficially due to the garbage 1$ shovelware getting out of hand on psn. I then had a partnership with playstation and i started receiving review codes and hardware for reviewing All was good until sept 9. on sept 9 my acc was permanently suspended for no reason and i received no email at all.. even when i talked to customer support they didnt help at all i was then lucky to get in touch with another department and they said they will look in to the matter few days later i received a msg on whatsapp from a random person saying my datas are leaked on the internet and the user is bribing playstation employees and stealing user datas and selling/banning them ( all photos and evidence are in the video) The photos clearly show playstation admin computers which no user can access on a normal computer this information was all forwarded to playstation for investigation.. the scammer even called me and tried to get private datas from me which is showin in the video too and that was also forwarded to playstation. After all that mountain of evidence playstation replies and i was shocked!!! They said you have violations 1- you platinumed games which require 100h to platinum in few hours 2- You completed games in 0 mins 3- you logged in over 2000 accs on your playstations 4- you logged in 29 playstations I was like wth? what is the game which i platinum in few hours and req 100? psnprofiles would insta flag me for that... then i remembered something called auto trophy pops or platinum pops which all of you trophy hunter know.. If you platinum Spiderman for example on ps4 in 50h then boot up the ps5 version you earn it in 1min that's something normal and the system is implemented by playstation them selves.. ( google auto trophy pop) so auto pop is a ban able offense now? and regarding the 0 min games there are loads of games on PlayStation which can be completed/platinumed in 10 seconds 20 seconds 30 seconds etc... every trophy hunter knows this Why those employees dont understand there own system? do i need to teach them all this? and regarding the 2000 accs I have been playing since 2007 thats 17 years you think as a trophy hunter i will not have alot of accs for dead online games? and i have alot of users lending me games which playstation themselves said game sharing is fine. regarding the 29 consoles again.. 17 years i had over 10 ps3s 5 or 6 ps4s 4 ps vitas 2 ps5s 2 pstvs So your acc is bound to 1 console and you can put it on another? what i see from this is playstation is running away from the real issue which is user data leakage and just threw me under the bus so they put this issue under the rug and get it over with.. companies will always blame the user for there mistakes If your acc gets banned or email changed for no reason that is 100% stolen with this method and your datas are on the blackmarket there is no other explanation and its over for you. so as you see guys how can i trust a company who sells user datas to some scammers on the internet and get away with it. Even after the mountain of evidence i showed they still wouldnt accept it and just told me we will raise the ban after 45 days.. they also removed me from the partnership program.. My acc is back yes but i cant live with this opression and corruption ! so i had to share the story with everyone The videos shows evidence of user data leakage from telegram groups including a staff from granturismo company polyphony and the num2 trophy hunter on psn I have more images but i just posted a few in the video It clearly shows playstation admin computers.. and not a normal user computer what do you think? keeping the love and hate about hakoom aside.. your datas are being sold on the blackmarket and this is corruption as i see it I hope the CEO of playstation looks in to this and solves this matter ASAP . any media who wants more details or a story re this matter please contact me on my email psnhakoom@gmail.com #playstation #hakoom
22:41

My official resignation from playstation video Due to corruption and oppression with evidence. The translation isnt very accurate and goes fast sometimes so i will write the story here. I know its a long video but its a must watch -------- Keep in mind this isnt about you support or hate me.. its about sensitive data leakage and company corruption so everyone is in it! -------- I was going to release this video few months back but i held back due to the problem being solved and i kept quiet. Here is my story before i start i want to introduce my self to the people who dont know me. My name is AbdulHakam AKA Hakoom i love playing video games since the 80s and got hooked up with the playstation brand back in 1996.. in 2007 the online system came on the ps3 and i created my playstation acc back then, later on playstation released the trophy system and i was able to achieve the 1st rank in 2009 and in 2018/2019 i entered Guinness 5 times.. later at 2021 i retired unofficially due to the garbage 1$ shovelware getting out of hand on psn. I then had a partnership with playstation and i started receiving review codes and hardware for reviewing All was good until sept 9. on sept 9 my acc was permanently suspended for no reason and i received no email at all.. even when i talked to customer support they didnt help at all i was then lucky to get in touch with another department and they said they will look in to the matter few days later i received a msg on whatsapp from a random person saying my datas are leaked on the internet and the user is bribing playstation employees and stealing user datas and selling/banning them ( all photos and evidence are in the video) The photos clearly show playstation admin computers which no user can access on a normal computer this information was all forwarded to playstation for investigation.. the scammer even called me and tried to get private datas from me which is showin in the video too and that was also forwarded to playstation. After all that mountain of evidence playstation replies and i was shocked!!! They said you have violations 1- you platinumed games which require 100h to platinum in few hours 2- You completed games in 0 mins 3- you logged in over 2000 accs on your playstations 4- you logged in 29 playstations I was like wth? what is the game which i platinum in few hours and req 100? psnprofiles would insta flag me for that... then i remembered something called auto trophy pops or platinum pops which all of you trophy hunter know.. If you platinum Spiderman for example on ps4 in 50h then boot up the ps5 version you earn it in 1min that's something normal and the system is implemented by playstation them selves.. ( google auto trophy pop) so auto pop is a ban able offense now? and regarding the 0 min games there are loads of games on PlayStation which can be completed/platinumed in 10 seconds 20 seconds 30 seconds etc... every trophy hunter knows this Why those employees dont understand there own system? do i need to teach them all this? and regarding the 2000 accs I have been playing since 2007 thats 17 years you think as a trophy hunter i will not have alot of accs for dead online games? and i have alot of users lending me games which playstation themselves said game sharing is fine. regarding the 29 consoles again.. 17 years i had over 10 ps3s 5 or 6 ps4s 4 ps vitas 2 ps5s 2 pstvs So your acc is bound to 1 console and you can put it on another? what i see from this is playstation is running away from the real issue which is user data leakage and just threw me under the bus so they put this issue under the rug and get it over with.. companies will always blame the user for there mistakes If your acc gets banned or email changed for no reason that is 100% stolen with this method and your datas are on the blackmarket there is no other explanation and its over for you. so as you see guys how can i trust a company who sells user datas to some scammers on the internet and get away with it. Even after the mountain of evidence i showed they still wouldnt accept it and just told me we will raise the ban after 45 days.. they also removed me from the partnership program.. My acc is back yes but i cant live with this opression and corruption ! so i had to share the story with everyone The videos shows evidence of user data leakage from telegram groups including a staff from granturismo company polyphony and the num2 trophy hunter on psn I have more images but i just posted a few in the video It clearly shows playstation admin computers.. and not a normal user computer what do you think? keeping the love and hate about hakoom aside.. your datas are being sold on the blackmarket and this is corruption as i see it I hope the CEO of playstation looks in to this and solves this matter ASAP . any media who wants more details or a story re this matter please contact me on my email [email protected] #playstation #hakoom

Hakoom

4,737,599 views • 1 year ago

📢 IT’S TIME. $GNESS GOES LIVE After years of building, believing, and pushing forward... the moment has come. 🟡 TGE: May 9th at 12:00 UTC 📍 DEX first. CEXs next. Some of the Top 10 exchanges have already accepted our terms. Tier 1s? We don’t chase. They knock. For the first time in this space: ❌ No free tokens to CEXs ❌ No crazy airdrops for KOLs ✅ 100% support for the community This is not a project built behind closed doors. It’s built with you. 👀 All eyes will be on the launch 💪 A strong first chart will shape what comes next - long-term listings, deep partnerships, real momentum 🔒 Staking goes live shortly after TGE Early believers will unlock exclusive rewards And remember what I said about Phase 2 Yeah… we’ve been cooking something big, you will hear about it soon ⚠️ Important reminder Please do not purchase from any contract address other than the official one we’ll publish tomorrow There are already 50+ fake GNESS tokens out there None of them are us Stay alert and only trust official channels 🟢 Claim opens on May 9th at 13:00 UTC Claim portal → If you don’t see your tokens yet, that’s expected. They’ll appear once the claim goes live Airdrop tokens will be distributed manually to submitted wallets. No action needed Powered by BNB Chain Guided by Google This isn’t just a launch It’s a statement We stand with the community And we’re just getting started
0:52

📢 IT’S TIME. $GNESS GOES LIVE After years of building, believing, and pushing forward... the moment has come. 🟡 TGE: May 9th at 12:00 UTC 📍 DEX first. CEXs next. Some of the Top 10 exchanges have already accepted our terms. Tier 1s? We don’t chase. They knock. For the first time in this space: ❌ No free tokens to CEXs ❌ No crazy airdrops for KOLs ✅ 100% support for the community This is not a project built behind closed doors. It’s built with you. 👀 All eyes will be on the launch 💪 A strong first chart will shape what comes next - long-term listings, deep partnerships, real momentum 🔒 Staking goes live shortly after TGE Early believers will unlock exclusive rewards And remember what I said about Phase 2 Yeah… we’ve been cooking something big, you will hear about it soon ⚠️ Important reminder Please do not purchase from any contract address other than the official one we’ll publish tomorrow There are already 50+ fake GNESS tokens out there None of them are us Stay alert and only trust official channels 🟢 Claim opens on May 9th at 13:00 UTC Claim portal → If you don’t see your tokens yet, that’s expected. They’ll appear once the claim goes live Airdrop tokens will be distributed manually to submitted wallets. No action needed Powered by BNB Chain Guided by Google This isn’t just a launch It’s a statement We stand with the community And we’re just getting started

Gameness

40,955 views • 1 year ago

I've been asked to review and provide thoughts on the question of a potential targeting call in the Hardin-Simmons Cowboy Football / UMHB Football🏈 #d3fb game Saturday. I have synced up two videos -- one from UMHB's broadcast and one posted by In The (D3FB) Huddle contributor Riley Conlee (Riley Conlee) (if he could provide credit to the videographer of it, I'd appreciate it). There is a full-speed view and a 20% speed view of the central action included in the video. To evaluate targeting, we have to review both aspects of the rule to see what, if anything, qualifies. I want to provide the entire set of rules (9-1-3 & 9-1-4): "Targeting and Making Forcible Contact With the Crown of the Helmet ARTICLE 3. No player shall target and make forcible contact against an opponent with the crown of their helmet. The crown of the helmet is the top segment of the helmet; namely, the circular area defined by a 6-inch radius from the apex (top) of the helmet. This foul requires that there be at least one indicator of targeting (See Note 1 below). When in question, it is a foul. (Rule 9-6) (A.R. 9-1-3-I) Targeting and Making Forcible Contact to Head or Neck Area of a Defenseless Player ARTICLE 4. No player shall target and make forcible contact to the head or neck area of a defenseless opponent (See Note 2 below) with the helmet, forearm, hand, fist, elbow or shoulder. This foul requires that there be at least one indicator of targeting (See Note 1 below). When in question, it is a foul (Rules 2-27-14 and 9-6). (A.R. 9-1-4-I-VI) Note 1: “Targeting” means that a player takes aim at an opponent for purposes of attacking with forcible contact that goes beyond making a legal tackle or a legal block or playing the ball. Some indicators of targeting include but are not limited to: - Launch. A player leaving their feet to attack an opponent by an upward and forward thrust of the body to make forcible contact in the head or neck area. - A crouch followed by an upward and forward thrust to attack with forcible contact at the head or neck area, even though one or both feet are still on the ground. - Leading with helmet, shoulder, forearm, fist, hand or elbow to attack with forcible contact at the head or neck area. - Lowering the head before attacking by initiating forcible contact with the crown of the helmet. Note 2: Defenseless player (Rule 2-27-14). When in question, a player is defenseless. Examples of defenseless players include but are not limited to: - A player in the act of or just after throwing a pass. This includes an offensive player in a passing posture with focus downfield. - A receiver attempting to catch a forward pass or in position to receive a backward pass, or one who has completed a catch and has not had time to protect themselves or has not clearly become a ball carrier. - A kicker in the act of or just after kicking a ball, or during the kick or the return. - A kick returner attempting to catch or recover a kick, or one who has completed a catch or recovery and has not had time to protect themselves or has not clearly become a ball carrier. - A player on the ground. - A player obviously out of the play. - A player who receives a blind-side block. - A ball carrier already in the grasp of an opponent and whose forward progress has been stopped. - A quarterback any time after a change of possession - A ball carrier who has obviously given themselves up and is sliding feet- first. - A player attempting to recover a loose ball." We need to start at Note 2 to see if Kyle Brown qualified here as a "defenseless player." If not, then 9-1-4 would not apply to him here. Kyle was not a receiver or a passer per se here -- he was clearly a runner downfield and was not in the grasp of any player. As a result, he was not "defenseless" by definition. That means that the only way targeting can be called here is if the provisions of Rule 9-1-3 were violated. Rule 9-1-3 is VERY specific about the initial requirement before we can go to the question of a required indicator: "No player shall target and make forcible contact against an opponent with the crown of their helmet." The crown of the helmet is "the top segment of the helmet, specifically the circular area with a 6-inch radius from the apex (top) of the helmet." In the videos, we see a couple of telling signs. First, Kyle appeared to actually lower HIS helmet as the contact became imminent, which is something coaches advise against for a variety of reasons, including self-preservation. But what is telling is that the UMHB defender attempted to peel off as he saw the angle of the contact he was heading toward with Brown. Specifically, he appeared to end up perpendicular to Brown, perhaps catching Brown's facemask enough to cause the helmet to fly. Yet, that contact was NOT with the defender's crown. As a result, since Brown was not defenseless by rule and because the crown of the helmet was not used for forcible contact to the head/neck area, the picking up of the flag by the officials was appropriate. That said, I spoke with an official who reviewed the videos without commentary and who landed in the same spot as I did concerning the above. They stated that if immediate replay review was available, crews will generally throw the flag and go to review (here, it likely would have been overturned by review, preserving the defender's eligibility). Since the ASC is not providing the on-field replay review yet, the officials' decision would have impacted the game by ejecting a player for the last 6 minutes of the first half until a Halftime review would have been available. For those wondering about how replay is impacting the game, I think this is a good reminder of the nuances it can impact.
0:24

I've been asked to review and provide thoughts on the question of a potential targeting call in the Hardin-Simmons Cowboy Football / UMHB Football🏈 #d3fb game Saturday. I have synced up two videos -- one from UMHB's broadcast and one posted by In The (D3FB) Huddle contributor Riley Conlee (Riley Conlee) (if he could provide credit to the videographer of it, I'd appreciate it). There is a full-speed view and a 20% speed view of the central action included in the video. To evaluate targeting, we have to review both aspects of the rule to see what, if anything, qualifies. I want to provide the entire set of rules (9-1-3 & 9-1-4): "Targeting and Making Forcible Contact With the Crown of the Helmet ARTICLE 3. No player shall target and make forcible contact against an opponent with the crown of their helmet. The crown of the helmet is the top segment of the helmet; namely, the circular area defined by a 6-inch radius from the apex (top) of the helmet. This foul requires that there be at least one indicator of targeting (See Note 1 below). When in question, it is a foul. (Rule 9-6) (A.R. 9-1-3-I) Targeting and Making Forcible Contact to Head or Neck Area of a Defenseless Player ARTICLE 4. No player shall target and make forcible contact to the head or neck area of a defenseless opponent (See Note 2 below) with the helmet, forearm, hand, fist, elbow or shoulder. This foul requires that there be at least one indicator of targeting (See Note 1 below). When in question, it is a foul (Rules 2-27-14 and 9-6). (A.R. 9-1-4-I-VI) Note 1: “Targeting” means that a player takes aim at an opponent for purposes of attacking with forcible contact that goes beyond making a legal tackle or a legal block or playing the ball. Some indicators of targeting include but are not limited to: - Launch. A player leaving their feet to attack an opponent by an upward and forward thrust of the body to make forcible contact in the head or neck area. - A crouch followed by an upward and forward thrust to attack with forcible contact at the head or neck area, even though one or both feet are still on the ground. - Leading with helmet, shoulder, forearm, fist, hand or elbow to attack with forcible contact at the head or neck area. - Lowering the head before attacking by initiating forcible contact with the crown of the helmet. Note 2: Defenseless player (Rule 2-27-14). When in question, a player is defenseless. Examples of defenseless players include but are not limited to: - A player in the act of or just after throwing a pass. This includes an offensive player in a passing posture with focus downfield. - A receiver attempting to catch a forward pass or in position to receive a backward pass, or one who has completed a catch and has not had time to protect themselves or has not clearly become a ball carrier. - A kicker in the act of or just after kicking a ball, or during the kick or the return. - A kick returner attempting to catch or recover a kick, or one who has completed a catch or recovery and has not had time to protect themselves or has not clearly become a ball carrier. - A player on the ground. - A player obviously out of the play. - A player who receives a blind-side block. - A ball carrier already in the grasp of an opponent and whose forward progress has been stopped. - A quarterback any time after a change of possession - A ball carrier who has obviously given themselves up and is sliding feet- first. - A player attempting to recover a loose ball." We need to start at Note 2 to see if Kyle Brown qualified here as a "defenseless player." If not, then 9-1-4 would not apply to him here. Kyle was not a receiver or a passer per se here -- he was clearly a runner downfield and was not in the grasp of any player. As a result, he was not "defenseless" by definition. That means that the only way targeting can be called here is if the provisions of Rule 9-1-3 were violated. Rule 9-1-3 is VERY specific about the initial requirement before we can go to the question of a required indicator: "No player shall target and make forcible contact against an opponent with the crown of their helmet." The crown of the helmet is "the top segment of the helmet, specifically the circular area with a 6-inch radius from the apex (top) of the helmet." In the videos, we see a couple of telling signs. First, Kyle appeared to actually lower HIS helmet as the contact became imminent, which is something coaches advise against for a variety of reasons, including self-preservation. But what is telling is that the UMHB defender attempted to peel off as he saw the angle of the contact he was heading toward with Brown. Specifically, he appeared to end up perpendicular to Brown, perhaps catching Brown's facemask enough to cause the helmet to fly. Yet, that contact was NOT with the defender's crown. As a result, since Brown was not defenseless by rule and because the crown of the helmet was not used for forcible contact to the head/neck area, the picking up of the flag by the officials was appropriate. That said, I spoke with an official who reviewed the videos without commentary and who landed in the same spot as I did concerning the above. They stated that if immediate replay review was available, crews will generally throw the flag and go to review (here, it likely would have been overturned by review, preserving the defender's eligibility). Since the ASC is not providing the on-field replay review yet, the officials' decision would have impacted the game by ejecting a player for the last 6 minutes of the first half until a Halftime review would have been available. For those wondering about how replay is impacting the game, I think this is a good reminder of the nuances it can impact.

Frank Rossi

10,688 views • 9 months ago

🚨 Weigh in 12 🚨 Before #FrankWalks, Frank had not been under 350 pounds in over 20 years and was 500+ pounds in 2016. Here is his monthly progress since we started walking (369 days in a row): Before #FrankWalks : 383 pounds Weigh in 1: 373 pounds Weigh in 2: 352 pounds Weigh in 3: 343 pounds Weigh in 4: 340 pounds Weigh in 5: 339 pounds Weigh in 6: 333.8 pounds Weigh in 7: 331 pounds Weigh in 8: 323.8 pounds Weigh in 9: 319.8 pounds Weigh in 10: 324 pounds Weigh in 11: 330 pounds Here are the results from weigh in 12: ◦327 pounds: Frank has lost 56 pounds since we started walking ◦Blood sugar: Levels remain in the green zone for the longest stretch of Frank’s adult life, this will add years to his life … down from ~10% A1C to 6.8% ◦Diet: Diet continues to be the greatest hurdle. Stress eating and meal choices must improve along with less soda. This is Frank vs a lifetime of bad habits. It’s hardest when he’s home alone, that’s the biggest damage zone Last month was a setback with a six pound increase. It was his second straight month gaining back weight. It would have been easy to slide deeper into bad old habits and completely lose momentum. Everyone’s support and encouragement after the disappointing Weigh In 11 was fantastic. Thank you Frank was upset that he let fans down but was determined to turn it around. The setback doesn’t matter, the response does. And Frank responded with a solid month, getting back to into the green. He has now lost weight in 10/12 weigh ins. His endurance, flexibility, agility, and energy improve everyday. But what Frank is most proud of is the always increasing # of walkers who have started their own health journeys. It blows Frank’s mind that he’s gone from getting picked on in school for his weight, to becoming an inspiring fitness influencer. Frank also passed one year of walking with no days off on Friday. I couldn’t be more proud of his commitment. We still have a long way to go, but we are BACK ON TRACK. DIET DIET DIET! Anudder weigh in in the books
0:24

🚨 Weigh in 12 🚨 Before #FrankWalks, Frank had not been under 350 pounds in over 20 years and was 500+ pounds in 2016. Here is his monthly progress since we started walking (369 days in a row): Before #FrankWalks : 383 pounds Weigh in 1: 373 pounds Weigh in 2: 352 pounds Weigh in 3: 343 pounds Weigh in 4: 340 pounds Weigh in 5: 339 pounds Weigh in 6: 333.8 pounds Weigh in 7: 331 pounds Weigh in 8: 323.8 pounds Weigh in 9: 319.8 pounds Weigh in 10: 324 pounds Weigh in 11: 330 pounds Here are the results from weigh in 12: ◦327 pounds: Frank has lost 56 pounds since we started walking ◦Blood sugar: Levels remain in the green zone for the longest stretch of Frank’s adult life, this will add years to his life … down from ~10% A1C to 6.8% ◦Diet: Diet continues to be the greatest hurdle. Stress eating and meal choices must improve along with less soda. This is Frank vs a lifetime of bad habits. It’s hardest when he’s home alone, that’s the biggest damage zone Last month was a setback with a six pound increase. It was his second straight month gaining back weight. It would have been easy to slide deeper into bad old habits and completely lose momentum. Everyone’s support and encouragement after the disappointing Weigh In 11 was fantastic. Thank you Frank was upset that he let fans down but was determined to turn it around. The setback doesn’t matter, the response does. And Frank responded with a solid month, getting back to into the green. He has now lost weight in 10/12 weigh ins. His endurance, flexibility, agility, and energy improve everyday. But what Frank is most proud of is the always increasing # of walkers who have started their own health journeys. It blows Frank’s mind that he’s gone from getting picked on in school for his weight, to becoming an inspiring fitness influencer. Frank also passed one year of walking with no days off on Friday. I couldn’t be more proud of his commitment. We still have a long way to go, but we are BACK ON TRACK. DIET DIET DIET! Anudder weigh in in the books

Matteo Piper Jenks 🧲 🇮🇹

618,412 views • 1 year ago

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?
0:25

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?

Blaze

29,808 views • 6 months ago

Andrew Wilkinson owns 40+ businesses. He just showed me how he's using OpenClaw, Claude Code and AI agents to run latest business, start new ones, and automate everything. Here's what I learned: 1. In December 2025, something clicked. He started waking up at 3AM with a smile, sitting in terminal with 10 Claude Code tabs open. He hasn't stopped since. He calls it chasing the dragon. 2.He built a full SaaS product called Deep Personality. A 40-minute personality test that generates a 100-page report written like Robert Greene. $20 000 in revenue. Zero employees. The entire business runs on AI agents. 3. He has agents for support, marketing, and dev. When a support ticket comes in, the agent either handles it or sends it to the dev agent. If it's critical, the agent fixes the bug and merges the PR before he wakes up. Then it emails the customer back. 4. His marketing agent is connected to PostHog, manages Meta and Reddit ads, creates ad creative, runs multivariate tests, and sets budgets. He's about to give it a $100 k/month ad budget and see what happens. 5. He forgot his laptop on a trip to Arizona. He ran his entire business from the back of Ubers using OpenClaw. Nobody picked up that every single email was written by AI. 6. His take on vibe coding: the worst part about business is people. Between your vision and execution are 100 people you have to convince. Vibe coding removes all of them. For the first time he can do every part of building a product himself. 7. He was trying to build OpenClaw before OpenClaw existed. Now he uses a tool called Harbor, which is basically a GUI for managing multiple agents. You can see all your agents, their status, knowledge bases, and databases in one place. 8. He built a custom AI for his relationship. He and his girlfriend took 15 psychological tests, put the results into ChatGPT, and asked it to analyze their relationship. It nailed every fight they've ever had. That became the product idea for Deep Personality. 9. His honest take: he spends 50% of his time debugging, 30% improving the setup, and 20% being productive. It's a treadmill. But the 20% that works is so powerful he can't stop. 10. His prediction: we're 3-6 months from being able to hand basic businesses off to AI to run entirely. And pretty soon Anthropic and OpenAI are going to launch AI CEOs. This is an inside look at how a serious operator Andrew Wilkinson is using AI agents in the real world. The good, the bad, the debugging, all of it. Most people don't show you this. Episode is live on The Startup Ideas Podcast (SIP) 🧃 watch
47:23

Andrew Wilkinson owns 40+ businesses. He just showed me how he's using OpenClaw, Claude Code and AI agents to run latest business, start new ones, and automate everything. Here's what I learned: 1. In December 2025, something clicked. He started waking up at 3AM with a smile, sitting in terminal with 10 Claude Code tabs open. He hasn't stopped since. He calls it chasing the dragon. 2.He built a full SaaS product called Deep Personality. A 40-minute personality test that generates a 100-page report written like Robert Greene. $20 000 in revenue. Zero employees. The entire business runs on AI agents. 3. He has agents for support, marketing, and dev. When a support ticket comes in, the agent either handles it or sends it to the dev agent. If it's critical, the agent fixes the bug and merges the PR before he wakes up. Then it emails the customer back. 4. His marketing agent is connected to PostHog, manages Meta and Reddit ads, creates ad creative, runs multivariate tests, and sets budgets. He's about to give it a $100 k/month ad budget and see what happens. 5. He forgot his laptop on a trip to Arizona. He ran his entire business from the back of Ubers using OpenClaw. Nobody picked up that every single email was written by AI. 6. His take on vibe coding: the worst part about business is people. Between your vision and execution are 100 people you have to convince. Vibe coding removes all of them. For the first time he can do every part of building a product himself. 7. He was trying to build OpenClaw before OpenClaw existed. Now he uses a tool called Harbor, which is basically a GUI for managing multiple agents. You can see all your agents, their status, knowledge bases, and databases in one place. 8. He built a custom AI for his relationship. He and his girlfriend took 15 psychological tests, put the results into ChatGPT, and asked it to analyze their relationship. It nailed every fight they've ever had. That became the product idea for Deep Personality. 9. His honest take: he spends 50% of his time debugging, 30% improving the setup, and 20% being productive. It's a treadmill. But the 20% that works is so powerful he can't stop. 10. His prediction: we're 3-6 months from being able to hand basic businesses off to AI to run entirely. And pretty soon Anthropic and OpenAI are going to launch AI CEOs. This is an inside look at how a serious operator Andrew Wilkinson is using AI agents in the real world. The good, the bad, the debugging, all of it. Most people don't show you this. Episode is live on The Startup Ideas Podcast (SIP) 🧃 watch

GREG ISENBERG

144,005 views • 3 months ago

Sigh. I just had the credits roll in Pokemon Legends ZA, after 41 hours (i did a lot of side quests) You guys KNOW I am a HUGE Pokemon fan, always been. I grew up with the franchise and it was one of my biggest escapes growing up. I loved Scarlet and Violet, I LOVED Legend Arceus. Pokemon Legends ZA is.. so bad though. The story? Could have been a post main game storyline, barely any substance, barely anything of value. The main story is just the aftermath of X&Y. Some of the side characters stories is nice, other‘s is just annoying or forgettable. Character designs: Mixed opinion, some designs are peak (corbeaue), some are just blatantly awful and an eyesore (jacinthe). Map: ehhh, the map LOOKS small, doesn‘t feel small though. BUT if you take Legend Arceus in comparison, it‘s like 1/4th of the size if even? The parkour is done SO POORLY. It‘s boring and tedious. Looking back at Legend Arceus where you could literally climb mountains, swim and fly, the map traversal is just done poorly and boring. I get that they removed ridable pokemon because then the map would have instantly felt even smaller, but that‘s just an issue the pokemon/gamefreak created for themselves. They decided to have the game ONLY in the capital of Kalos. They also could have simply made the map bigger lol. Gameplay: PERSONALLY I don‘t see why people are praising the gameplay that much, maybe because it‘s finally something different? It‘s alright in normal 1v1 battles, easily becomes unreadable if there‘s multiple parties partaking (think mega battles before the final boss) The rogue mega battles LOOKED good, and they had a good idea, but WHY is the dash button on B, which is tied to the battle commands. Same for dodge being on the Y button. Bear with me, the rogue mega battles are done in a giant arena, and you have to DODGE and RUN a lot, while also ATTACKING the rogue mon. You you can only do ONE, attack, by holding down the left trigger and your A B X Y buttons transform into your moveset, or run and dodge. Just from a game design aspect, this is awful. And don‘t get me started on how buggy the gameplay is at times. Sometimes the trigger button does not even give me the attack moveset? (No its not my switch 2, tested on both switch 1 and 2 with both versions of the game) Right before the final part, my team is around lvl 65-70 and I more or less one shot everything. Now (and spoiler warning) multiple megas attack you, you fight alonsgide NPC trainers and the screen becomes so unreadable and my pokemon just get knocked out one after another? Idk if this is a skill issue, but the sudden spike of difficulty and the cluttered screen made that part really unfun. Final boss was just… awful. Two giant flowers appear, you have to knock them both out, but their damage is ridiculous, and they are super tanky. Then scene switch to Zygarde attacks Ange Floette, and repeat this for like 3 times. The rest of the fight also is just bad and boring. At least the cinematic looked pretty. The alpha pokemon that randomly appear are nice, but nothing of value was added by adding them. (Alphas were a HUGE story part in legend arceus, here it seems they are just throwing players a pity bone) The pokedex quest seems like it wants to be legend arceus so bad but it just misses the point. Legend arceus pokedex felt fun and enjoyable, legend za feels tedious and annoying. Shiny Hunting in this game is SO BORING. No sandwiches, no mass outbreaks, you just reload the area by fast traveling or resting at a bench. Can‘t talk about competitive. yet cuz I haven‘t gotten to it. Finally, this game is a 3,5/10 to me. If anything it made me wanna play Legend Arceus again
0:29

Sigh. I just had the credits roll in Pokemon Legends ZA, after 41 hours (i did a lot of side quests) You guys KNOW I am a HUGE Pokemon fan, always been. I grew up with the franchise and it was one of my biggest escapes growing up. I loved Scarlet and Violet, I LOVED Legend Arceus. Pokemon Legends ZA is.. so bad though. The story? Could have been a post main game storyline, barely any substance, barely anything of value. The main story is just the aftermath of X&Y. Some of the side characters stories is nice, other‘s is just annoying or forgettable. Character designs: Mixed opinion, some designs are peak (corbeaue), some are just blatantly awful and an eyesore (jacinthe). Map: ehhh, the map LOOKS small, doesn‘t feel small though. BUT if you take Legend Arceus in comparison, it‘s like 1/4th of the size if even? The parkour is done SO POORLY. It‘s boring and tedious. Looking back at Legend Arceus where you could literally climb mountains, swim and fly, the map traversal is just done poorly and boring. I get that they removed ridable pokemon because then the map would have instantly felt even smaller, but that‘s just an issue the pokemon/gamefreak created for themselves. They decided to have the game ONLY in the capital of Kalos. They also could have simply made the map bigger lol. Gameplay: PERSONALLY I don‘t see why people are praising the gameplay that much, maybe because it‘s finally something different? It‘s alright in normal 1v1 battles, easily becomes unreadable if there‘s multiple parties partaking (think mega battles before the final boss) The rogue mega battles LOOKED good, and they had a good idea, but WHY is the dash button on B, which is tied to the battle commands. Same for dodge being on the Y button. Bear with me, the rogue mega battles are done in a giant arena, and you have to DODGE and RUN a lot, while also ATTACKING the rogue mon. You you can only do ONE, attack, by holding down the left trigger and your A B X Y buttons transform into your moveset, or run and dodge. Just from a game design aspect, this is awful. And don‘t get me started on how buggy the gameplay is at times. Sometimes the trigger button does not even give me the attack moveset? (No its not my switch 2, tested on both switch 1 and 2 with both versions of the game) Right before the final part, my team is around lvl 65-70 and I more or less one shot everything. Now (and spoiler warning) multiple megas attack you, you fight alonsgide NPC trainers and the screen becomes so unreadable and my pokemon just get knocked out one after another? Idk if this is a skill issue, but the sudden spike of difficulty and the cluttered screen made that part really unfun. Final boss was just… awful. Two giant flowers appear, you have to knock them both out, but their damage is ridiculous, and they are super tanky. Then scene switch to Zygarde attacks Ange Floette, and repeat this for like 3 times. The rest of the fight also is just bad and boring. At least the cinematic looked pretty. The alpha pokemon that randomly appear are nice, but nothing of value was added by adding them. (Alphas were a HUGE story part in legend arceus, here it seems they are just throwing players a pity bone) The pokedex quest seems like it wants to be legend arceus so bad but it just misses the point. Legend arceus pokedex felt fun and enjoyable, legend za feels tedious and annoying. Shiny Hunting in this game is SO BORING. No sandwiches, no mass outbreaks, you just reload the area by fast traveling or resting at a bench. Can‘t talk about competitive. yet cuz I haven‘t gotten to it. Finally, this game is a 3,5/10 to me. If anything it made me wanna play Legend Arceus again

Kitsu 🦊💊

97,580 views • 9 months ago

🚨 EXPOSING NOSTRA. AI 🚨 We have exposed some pretty nasty grifts in this space, but Nostra reigns supreme above all others (by a fair margin). Since we have >30 min video and an intensive Notion document (linked at the very bottom of this post) I am going to just highlight the key areas below. For those who don't want to watch it all - here's some time stamps that cover the most important/most hilarious parts of the video. 1:08 - Site Speed Scamming 101 4:20 - Beginning of the actual findings of what we caught Nostra doing. 5:25 - Nostra CEO tweets about how vitally important it is to have your most critical information above the fold on your site. Then we show that they almost exclusively marketed their fake site speed scores above the fold. 6:37 - The 'before and after' that shows how radically different the Nostra team made their site after they realized they were being investigated (perhaps my favorite part) 11:05 - Before: YOUR SITE PERFORMANCE SCORE MATTERS ..... 1 day later, Nostra CEO: "Yeah page speed scores are pretty useless" 😂 12:07 - "Nostra clients are 8x more likely to pass core web vitals compared to non Nostra clients" *Lukas then shows how every single one of their 'success story' case studies are failing almost all core web vitals on their home pages.... 15:10 - Jake dives into the technical shortcomings of the Nostra product, from them using a deprecated form of rendering and claiming (falsely) that Google still endorses it, to showing that any visitor logged into any Nostra-enabled site is not fed the cached pages... meaning that many of their highest LTV clients are being given a drastically worse browsing experience.... + lots more! 29:47 - Lukas shows all of the deleted tweets from the Nostra CEO. Suspiciously, all of them just so happen to be based on page speed scores... hmm. The main points: - Nostra uses site speed cloaking tactics to artificially inflate performance numbers on Google's Page Speed Insights. There is no ethical reason to do this. It is a tactic used exclusively by site speed scammers. *A few people may point to the fact that Meta uses Lighthouse scores as one of many contributing factors to showing ads, so certain sites MAY see an uptick in paid performance on Meta while having these fake scores. This is a horrible basis to justify attempting black hat scams on Google tools. I'll be doing a whole separate video for this topic alone, but for now, just understand it is shortsighted and unbelievably stupid. - They then used those artificially inflated performance scores as the central focus of their entire marketing strategy. *They have released some hilariously inaccurate/misleading blog posts in the past week that try and claim they don't use cloaking and that their methods are totally ethical... you better believe we are doing a follow-up video that dismantles these blog posts paragraph by paragraph. - Various current and former clients of Nostra have confirmed that one of their central selling points when convincing them to pay for Nostra (often quoting/charging thousands a month) was that their Google performance numbers were going to go up, which meant a faster site, which meant more revenue. A blatant, irrefutable lie. - As we dug into their code, we found even more issues. Most notably, their 'crawler optimization' was stripping down pages for both Lighthouse (Page Speed Insights) as well as Googlebot, which means that the contents of any page 'client-side rendered' by Nostra in this way was almost entirely invisible to Google, as it saw basically nothing to crawl and index. - All of our findings were confirmed by over a dozen well-respected developers in the Shopify space, including high-ranking engineers at Shopify. - Before we notified Nostra of our investigation into them, Jake Casto (partner in this report) met directly with the Nostra team, including their Chief Lead Architect (?) and asked every question he could to gain as much context as possible. This meeting further confirmed all of our findings and even pushed some further. - Hours after we notified the CEO of Nostra about our investigation into them and the impending report we would release, their entire site changed.... like... CHANGED. Nearly every mention of 'page speed' or 'performance score' was stripped from the site, including all of their case studies. Additionally, they renamed an entire product. Their 'Crawler Optimization' tool became 'Bimodal Dynamic Rendering'.... - That same night, the Nostra CEO then deleted all tweets insinuating performance score as a benefit of using Nostra (proof shown in the video) and began publicly talking about how useless speed scores are. A metric they had long lauded as the single-most important aspect of what their tech improves was now "pretty useless" just a few hours later. - It is imperative to know that we did not mention ANYTHING about our interest in investigating their focus on performance scores as a key marketing strategy. All of these changes were made by them without knowing anything about what in particular we were investigating. Not shockingly, the main scam we were highlighting in our investigation is what was wiped entirely (within literal hours) from their site/their founders personal messaging. * go look at their site now and try to find any claims about performance scores on their home page. They even took them off the top of all their case studies. (we show this all in the video as well). - Nostra has since continued to modify their code, resulting in some of their 'success story' clients seeing a 50+ point drop in performance scores (shown in the video). More current and former clients continue to reach out and share more stories about the many sketchy happenings at Nostra. - Nostra also released a very weak response in the form of 2 blog posts that aim to justify their actions/tech. They have been sharing this with their clients and attempting to patch over the MANY inconsistencies and blatant lies they were caught in. As I said earlier, we will be doing a video dedicated to dismantling these blog posts in detail. Moral of the story. No SaaS is going to plug in to your Shopify store and drastically increase your performance scores in a matter of moments. Any tool or dev or agency, no matter how fancy they look and how much venture backing they have, will be able to get your Shopify stores' mobile performance scores into the 80/90's under any normal circumstances. If someone says they can... You are 100% being scammed. Site speed optimization is a complex development process that takes highly-skilled devs dozens of hours to do properly. No tool can replace this. Don't be fooled into thinking otherwise. For a deeper look into the technical side, check out the link below.
35:51

🚨 EXPOSING NOSTRA. AI 🚨 We have exposed some pretty nasty grifts in this space, but Nostra reigns supreme above all others (by a fair margin). Since we have >30 min video and an intensive Notion document (linked at the very bottom of this post) I am going to just highlight the key areas below. For those who don't want to watch it all - here's some time stamps that cover the most important/most hilarious parts of the video. 1:08 - Site Speed Scamming 101 4:20 - Beginning of the actual findings of what we caught Nostra doing. 5:25 - Nostra CEO tweets about how vitally important it is to have your most critical information above the fold on your site. Then we show that they almost exclusively marketed their fake site speed scores above the fold. 6:37 - The 'before and after' that shows how radically different the Nostra team made their site after they realized they were being investigated (perhaps my favorite part) 11:05 - Before: YOUR SITE PERFORMANCE SCORE MATTERS ..... 1 day later, Nostra CEO: "Yeah page speed scores are pretty useless" 😂 12:07 - "Nostra clients are 8x more likely to pass core web vitals compared to non Nostra clients" *Lukas then shows how every single one of their 'success story' case studies are failing almost all core web vitals on their home pages.... 15:10 - Jake dives into the technical shortcomings of the Nostra product, from them using a deprecated form of rendering and claiming (falsely) that Google still endorses it, to showing that any visitor logged into any Nostra-enabled site is not fed the cached pages... meaning that many of their highest LTV clients are being given a drastically worse browsing experience.... + lots more! 29:47 - Lukas shows all of the deleted tweets from the Nostra CEO. Suspiciously, all of them just so happen to be based on page speed scores... hmm. The main points: - Nostra uses site speed cloaking tactics to artificially inflate performance numbers on Google's Page Speed Insights. There is no ethical reason to do this. It is a tactic used exclusively by site speed scammers. *A few people may point to the fact that Meta uses Lighthouse scores as one of many contributing factors to showing ads, so certain sites MAY see an uptick in paid performance on Meta while having these fake scores. This is a horrible basis to justify attempting black hat scams on Google tools. I'll be doing a whole separate video for this topic alone, but for now, just understand it is shortsighted and unbelievably stupid. - They then used those artificially inflated performance scores as the central focus of their entire marketing strategy. *They have released some hilariously inaccurate/misleading blog posts in the past week that try and claim they don't use cloaking and that their methods are totally ethical... you better believe we are doing a follow-up video that dismantles these blog posts paragraph by paragraph. - Various current and former clients of Nostra have confirmed that one of their central selling points when convincing them to pay for Nostra (often quoting/charging thousands a month) was that their Google performance numbers were going to go up, which meant a faster site, which meant more revenue. A blatant, irrefutable lie. - As we dug into their code, we found even more issues. Most notably, their 'crawler optimization' was stripping down pages for both Lighthouse (Page Speed Insights) as well as Googlebot, which means that the contents of any page 'client-side rendered' by Nostra in this way was almost entirely invisible to Google, as it saw basically nothing to crawl and index. - All of our findings were confirmed by over a dozen well-respected developers in the Shopify space, including high-ranking engineers at Shopify. - Before we notified Nostra of our investigation into them, Jake Casto (partner in this report) met directly with the Nostra team, including their Chief Lead Architect (?) and asked every question he could to gain as much context as possible. This meeting further confirmed all of our findings and even pushed some further. - Hours after we notified the CEO of Nostra about our investigation into them and the impending report we would release, their entire site changed.... like... CHANGED. Nearly every mention of 'page speed' or 'performance score' was stripped from the site, including all of their case studies. Additionally, they renamed an entire product. Their 'Crawler Optimization' tool became 'Bimodal Dynamic Rendering'.... - That same night, the Nostra CEO then deleted all tweets insinuating performance score as a benefit of using Nostra (proof shown in the video) and began publicly talking about how useless speed scores are. A metric they had long lauded as the single-most important aspect of what their tech improves was now "pretty useless" just a few hours later. - It is imperative to know that we did not mention ANYTHING about our interest in investigating their focus on performance scores as a key marketing strategy. All of these changes were made by them without knowing anything about what in particular we were investigating. Not shockingly, the main scam we were highlighting in our investigation is what was wiped entirely (within literal hours) from their site/their founders personal messaging. * go look at their site now and try to find any claims about performance scores on their home page. They even took them off the top of all their case studies. (we show this all in the video as well). - Nostra has since continued to modify their code, resulting in some of their 'success story' clients seeing a 50+ point drop in performance scores (shown in the video). More current and former clients continue to reach out and share more stories about the many sketchy happenings at Nostra. - Nostra also released a very weak response in the form of 2 blog posts that aim to justify their actions/tech. They have been sharing this with their clients and attempting to patch over the MANY inconsistencies and blatant lies they were caught in. As I said earlier, we will be doing a video dedicated to dismantling these blog posts in detail. Moral of the story. No SaaS is going to plug in to your Shopify store and drastically increase your performance scores in a matter of moments. Any tool or dev or agency, no matter how fancy they look and how much venture backing they have, will be able to get your Shopify stores' mobile performance scores into the 80/90's under any normal circumstances. If someone says they can... You are 100% being scammed. Site speed optimization is a complex development process that takes highly-skilled devs dozens of hours to do properly. No tool can replace this. Don't be fooled into thinking otherwise. For a deeper look into the technical side, check out the link below.

Lukas Tanasiuk

77,504 views • 2 years ago

Pragmata Review | No spoilers That is it for me. I played more than 30 hours of Pragmata and I am really happy that not only we finally got this game after so many delays and in a time where cancellations are common, but also that it turned out to be a very solid and enjoyable experience. Visually it is beautiful, and gameplay wise it works well for the length it has. It is not a long game, which I personally prefer, and I hope we see more titles like this instead of games trying to be longer just for the sake of it. I would not call it short like some people did, but I think it is exactly as long as it needs to be. Story wise, it is my favorite of the year so far. Seeing this kind of father and daughter dynamic again made me want to play more games with similar themes. I did almost everything in the game and I absolutely recommend it. If you are unsure about the length, maybe wait for a sale, but quality wise it deserves to be up there. I am not someone who rushes, so it took me longer because I admire the environments, take screenshots, record videos, and try to find collectibles without guides. For someone who just plays straight through, I think it would take around 12 to 15 hours, maybe a bit more or less. This is the kind of experience I want to see more often in the gaming space. I liked the combat and I think the enemy variety is fine for the length. If the game was longer without adding new enemy types, it would probably feel repetitive, but for what it is, it works. My biggest concern before playing was the combination of Hugh’s shooting and Diana’s hacking. If it was too complicated, it would be annoying, and if it was too simple, it would be boring. Thankfully, it ended up being exactly right. My only real complaint is that you need to return to the base to restock items, and when you die, the game sends you back there instead of placing you right before the area or at the last travel point you unlocked. It is not a huge issue, but it breaks the flow a bit. Diana is very cute and does her part extremely well, and Hugh is a character that is hard not to like. They both nail the dad simulator vibe. The voice acting is great, especially for Diana. Capcom delivered a unique and impressive new IP, which is always welcome in an industry where big publishers mostly rely on established franchises instead of taking risks. Whether we get more entries in the future is up to them, but it is also up to us to support games like this if we want more of them. On PC the game runs very well. The only thing that felt a bit underwhelming to me is the ray tracing when you use it on its own without path tracing. In some areas it does not add much, similar to what I noticed in Resident Evil Requiem. It makes me think it is either something with the RE Engine or simply that Capcom does not push ray tracing that far and focuses more on path tracing instead. Path tracing looks incredible, but of course it comes with a heavy performance cost. Something that impressed me throughout the entire playthrough is how consistent the game feels from start to finish. There is no point where it suddenly drops in quality or feels rushed. Every area has its own atmosphere, the pacing stays steady, and the game never tries to drag itself out longer than needed. It is rare to play something that stays this steady all the way through, and that alone made the whole experience even more enjoyable for me. I hope we get a DLC or a sequel one day, but even if this stays a one off, I am happy with what we got. Rating: 9/10
0:28

Pragmata Review | No spoilers That is it for me. I played more than 30 hours of Pragmata and I am really happy that not only we finally got this game after so many delays and in a time where cancellations are common, but also that it turned out to be a very solid and enjoyable experience. Visually it is beautiful, and gameplay wise it works well for the length it has. It is not a long game, which I personally prefer, and I hope we see more titles like this instead of games trying to be longer just for the sake of it. I would not call it short like some people did, but I think it is exactly as long as it needs to be. Story wise, it is my favorite of the year so far. Seeing this kind of father and daughter dynamic again made me want to play more games with similar themes. I did almost everything in the game and I absolutely recommend it. If you are unsure about the length, maybe wait for a sale, but quality wise it deserves to be up there. I am not someone who rushes, so it took me longer because I admire the environments, take screenshots, record videos, and try to find collectibles without guides. For someone who just plays straight through, I think it would take around 12 to 15 hours, maybe a bit more or less. This is the kind of experience I want to see more often in the gaming space. I liked the combat and I think the enemy variety is fine for the length. If the game was longer without adding new enemy types, it would probably feel repetitive, but for what it is, it works. My biggest concern before playing was the combination of Hugh’s shooting and Diana’s hacking. If it was too complicated, it would be annoying, and if it was too simple, it would be boring. Thankfully, it ended up being exactly right. My only real complaint is that you need to return to the base to restock items, and when you die, the game sends you back there instead of placing you right before the area or at the last travel point you unlocked. It is not a huge issue, but it breaks the flow a bit. Diana is very cute and does her part extremely well, and Hugh is a character that is hard not to like. They both nail the dad simulator vibe. The voice acting is great, especially for Diana. Capcom delivered a unique and impressive new IP, which is always welcome in an industry where big publishers mostly rely on established franchises instead of taking risks. Whether we get more entries in the future is up to them, but it is also up to us to support games like this if we want more of them. On PC the game runs very well. The only thing that felt a bit underwhelming to me is the ray tracing when you use it on its own without path tracing. In some areas it does not add much, similar to what I noticed in Resident Evil Requiem. It makes me think it is either something with the RE Engine or simply that Capcom does not push ray tracing that far and focuses more on path tracing instead. Path tracing looks incredible, but of course it comes with a heavy performance cost. Something that impressed me throughout the entire playthrough is how consistent the game feels from start to finish. There is no point where it suddenly drops in quality or feels rushed. Every area has its own atmosphere, the pacing stays steady, and the game never tries to drag itself out longer than needed. It is rare to play something that stays this steady all the way through, and that alone made the whole experience even more enjoyable for me. I hope we get a DLC or a sequel one day, but even if this stays a one off, I am happy with what we got. Rating: 9/10

𝑨𝒔𝒉𝒆𝒏 𝑶𝒏𝒆

32,822 views • 3 months ago

Introducing the Content Machine! This was the first time I walked through the mechanics of our anti-slop content system & how we drive 10,000,000+ impressions at tenex with a marketing team of...2. Thanks to claire vo 🖤 for having me on her show to share. Full-writeup & interview below... What is the Content Machine? A directory of daisy-chained skills that turn what you already say into publish-ready content. This is the key way to avoid turning into a slop cannon. It mines the places you already talk (Slack, Notion, Gmail, Linear, GitHub) plus what the internet is saying, finds the ideas worth writing, interviews you to extract the story, drafts it, and edits it to a 9/10 bar before you post. What are the principles of this system? 1) It is not a "write me a post" prompt. The core belief baked into it: the raw material must come from you. 2) The machine never invents your voice and never fabricates your insight. It does the research, the structure, and the editing, so your time goes only to the part only you can do. It focuses the human on the first & final mile of the content process. How is it structured? A two-layer split between the process & the person - The process layer is generic and shared: the pipeline, the content-type specs, the copywriting references, the onboarding flow. That is what lives in git and what gets shipped to other people. - The personal layer is yours and never leaves your machine: content-machine.config.md, creators/ / (profile, style guide, lessons), projects/, published/, oracle-reports/. All gitignored, and the desktop build script refuses to package any of it. What is the 10-step pipeline? 1) Creator Select. Multi-creator by design. It figures out who this run is for and loads their profile, style guide, and content lessons. Everything downstream is scoped to that person. - Onboarding (first run only). Scaffolds the workspace, auto-creates your Notion Vault, connects your sources, and builds your voice guide one of three ways: import a guide you already have, feed it writing samples, or sit for a short voice interview. 2) The Oracle. Two idea engines running in parallel: - Oracle scans what you wrote in the last 7 days across Slack, Notion, Gmail, Linear, and Git, hunting for "spikes," moments where you naturally said something worth expanding. - The Internet Reader scans what the world is saying, pulled only from the source list in your profile (handles, labs, outlets, keyword watchlist), plus a social sweep across Reddit, X, YouTube, Hacker News, and more (thanks /last30days & Matt Van Horn). - Every idea is scored 0 to 10 (POV strength 25%, story potential 25%, emotional intensity 20%, lesson/framework 20%, depth 10%). Everything qualifying gets written to The Vault, a Notion database that is the durable idea bank. 2.5) Research. Before you get interviewed, a research agent builds a sourced brief: - key facts with links - current developments - what has already been said in-market - contrarian angles - open questions only you can answer. 3) Interview Panel. Six interviewer personas (Ferriss, Rogan, Larry King, Stern, Barbaro, Barbara Walters) ask you one question at a time, each chasing a different dimension: tactics, story, core truth, the hidden thing, clarity, emotional depth. It pushes back on vague answers and will not advance until it has 2 to 3 specific stories with real details. 4) Production. Your interview becomes a raw markdown file: stories, core insights, quotable moments, the emotional anchor, surprising reveals, the "so what." Your exact words are preserved. This file is the source of truth for everything that follows. 5) Refinement. Now it drafts, and only now. It must read your style guide, your content lessons, and the spec for the chosen format (LinkedIn post, X thread, long post, playbook, podcast promo, reaction post, article, and so on). 6) Writer's Council. Six reviewers score the draft: Morgan Housel (will this matter in 10 years), Tim Urban (is it confusing), Shaan Puri (would I stop scrolling, plus three alternate hooks), Greg Isenberg (what can someone steal), David Perell (is it personal, observational, playful), and a Slop Detector hunting AI tells. Each gives what's working, what needs work, a fix, and a score. 7) Revision Loop. Under 9/10 goes back around. The smart part: fixes get sorted into editorial (the machine rewrites it itself) and information gaps (only you have the answer), and information gaps route back to the Interview Panel with targeted questions rather than letting the machine make something up. Max 3 editorial cycles. At 9/10 the piece becomes the anchor. 8) Repurposing Engine. One anchor fans out into 10+ derivatives: X article, LinkedIn article, short X posts, short LinkedIn posts, a playbook if there is a framework in it. Each one is written native to its platform with a fresh hook, not cross-posted, and each runs the full council and revision loop to 9/10 on its own. This is the multiplier. 9) Distribution (optional, off by default). UTM tagging, a scheduled publishing queue, CRM capture of every touchpoint, attribution reporting back to pipeline, and marking the Vault row as Published. 10) The Learning Loop, always running. After you approve a piece it diffs your first draft against the final, extracts the pattern, and asks you to confirm it. Confirmed lessons go into content-lessons.md and override the style guide. Once a lesson proves out across a few projects it graduates into the style guide itself. Your first drafts get better over time instead of you re-explaining preferences. P.S. i'm thinking about opensourcing this. should i do it?
42:58

Introducing the Content Machine! This was the first time I walked through the mechanics of our anti-slop content system & how we drive 10,000,000+ impressions at tenex with a marketing team of...2. Thanks to claire vo 🖤 for having me on her show to share. Full-writeup & interview below... What is the Content Machine? A directory of daisy-chained skills that turn what you already say into publish-ready content. This is the key way to avoid turning into a slop cannon. It mines the places you already talk (Slack, Notion, Gmail, Linear, GitHub) plus what the internet is saying, finds the ideas worth writing, interviews you to extract the story, drafts it, and edits it to a 9/10 bar before you post. What are the principles of this system? 1) It is not a "write me a post" prompt. The core belief baked into it: the raw material must come from you. 2) The machine never invents your voice and never fabricates your insight. It does the research, the structure, and the editing, so your time goes only to the part only you can do. It focuses the human on the first & final mile of the content process. How is it structured? A two-layer split between the process & the person - The process layer is generic and shared: the pipeline, the content-type specs, the copywriting references, the onboarding flow. That is what lives in git and what gets shipped to other people. - The personal layer is yours and never leaves your machine: content-machine.config.md, creators/ / (profile, style guide, lessons), projects/, published/, oracle-reports/. All gitignored, and the desktop build script refuses to package any of it. What is the 10-step pipeline? 1) Creator Select. Multi-creator by design. It figures out who this run is for and loads their profile, style guide, and content lessons. Everything downstream is scoped to that person. - Onboarding (first run only). Scaffolds the workspace, auto-creates your Notion Vault, connects your sources, and builds your voice guide one of three ways: import a guide you already have, feed it writing samples, or sit for a short voice interview. 2) The Oracle. Two idea engines running in parallel: - Oracle scans what you wrote in the last 7 days across Slack, Notion, Gmail, Linear, and Git, hunting for "spikes," moments where you naturally said something worth expanding. - The Internet Reader scans what the world is saying, pulled only from the source list in your profile (handles, labs, outlets, keyword watchlist), plus a social sweep across Reddit, X, YouTube, Hacker News, and more (thanks /last30days & Matt Van Horn). - Every idea is scored 0 to 10 (POV strength 25%, story potential 25%, emotional intensity 20%, lesson/framework 20%, depth 10%). Everything qualifying gets written to The Vault, a Notion database that is the durable idea bank. 2.5) Research. Before you get interviewed, a research agent builds a sourced brief: - key facts with links - current developments - what has already been said in-market - contrarian angles - open questions only you can answer. 3) Interview Panel. Six interviewer personas (Ferriss, Rogan, Larry King, Stern, Barbaro, Barbara Walters) ask you one question at a time, each chasing a different dimension: tactics, story, core truth, the hidden thing, clarity, emotional depth. It pushes back on vague answers and will not advance until it has 2 to 3 specific stories with real details. 4) Production. Your interview becomes a raw markdown file: stories, core insights, quotable moments, the emotional anchor, surprising reveals, the "so what." Your exact words are preserved. This file is the source of truth for everything that follows. 5) Refinement. Now it drafts, and only now. It must read your style guide, your content lessons, and the spec for the chosen format (LinkedIn post, X thread, long post, playbook, podcast promo, reaction post, article, and so on). 6) Writer's Council. Six reviewers score the draft: Morgan Housel (will this matter in 10 years), Tim Urban (is it confusing), Shaan Puri (would I stop scrolling, plus three alternate hooks), Greg Isenberg (what can someone steal), David Perell (is it personal, observational, playful), and a Slop Detector hunting AI tells. Each gives what's working, what needs work, a fix, and a score. 7) Revision Loop. Under 9/10 goes back around. The smart part: fixes get sorted into editorial (the machine rewrites it itself) and information gaps (only you have the answer), and information gaps route back to the Interview Panel with targeted questions rather than letting the machine make something up. Max 3 editorial cycles. At 9/10 the piece becomes the anchor. 8) Repurposing Engine. One anchor fans out into 10+ derivatives: X article, LinkedIn article, short X posts, short LinkedIn posts, a playbook if there is a framework in it. Each one is written native to its platform with a fresh hook, not cross-posted, and each runs the full council and revision loop to 9/10 on its own. This is the multiplier. 9) Distribution (optional, off by default). UTM tagging, a scheduled publishing queue, CRM capture of every touchpoint, attribution reporting back to pipeline, and marking the Vault row as Published. 10) The Learning Loop, always running. After you approve a piece it diffs your first draft against the final, extracts the pattern, and asks you to confirm it. Confirmed lessons go into content-lessons.md and override the style guide. Once a lesson proves out across a few projects it graduates into the style guide itself. Your first drafts get better over time instead of you re-explaining preferences. P.S. i'm thinking about opensourcing this. should i do it?

Alex Lieberman

113,178 views • 12 days ago

I’m on a plane back from a week in Los Angeles and some lessons there shocked me. I met w/ a billionaire, Bryan Johnson, a top 10 podcaster, an A24 movie exec, and a Presidential candidate. 12 learnings from too many meetings to count in Hollywood: 1. LA is not dead. Far from it. I ran into 5 people who I needed to meet with at one hotel in 4 days. The epicenter of media may be disaggregating to Austin, NY and globally... but the density is still here. 2. Bryan Johnson is now one of my favorite humans. I hung with him at his house, tried his 20,000 crunches in 30 minutes machine, and talked about the purpose of life. The internet is a sad state that they don’t give him more credit. 3. Digital media today is like distributed news before cable news. We are at a tipping point for expansion in this digital industry. It feels somehow played out to those of us in it, but it’s just starting. 4. Hollywood is watching creators and UGC closely. I met w/ one exec who said in the not so distant future Netflix will have UGC on it. 5. may be this generation's Anthony Bourdain for thinking. I sat down with him and I think the work he’s doing on youtube is going to be something to watch... closely. 6. Buying boring businesses is not at all interesting to those in LA. BUT - asset accumulation and portfolios are. They buy assets (film rights, etc) all day. They are starting to think about the business of celebrities, creators and their work similar to how I think of investment management. 7. LA is a tale of two cities. I spoke at the convention center that was surrounded by derelict minority businesses and houses, then hung out at private members-only clubs that are all over West Hollywood where Lebron, Chris Voss and all the big timers play. The two places are 10 minutes away but an absolute world apart. 8. The mental health and drug crisis is out of control. Stroll along a downtown street and zombie after zombie trails. I saw people shitting and eating next to one another and across from a Starbucks. I asked our corporate host if this was “normal?” They replied, you stop noticing it after awhile. 9. Offices are completely empty. A friend got an office space for 50% off and more than 40% of the highrise is unoccupied. How odd that home prices are high, housing is really tough to come by, but office space is a blue ocean. 10. Met up with Tulsi Gabbard 🌺, a friend who was traveling to the border to see the situation live. I am grateful to have people fight for the truth even when it is unpopular. We need more leaders like her. 11. Every time I meet with a billionaire I realize all over again that to achieve that level of wealth, you cannot be normal. Truly. He’s weirdly comfortable with discomfort and complete lack of people pleasing. 12. The more I learn about the Kardashians in some ways, the more I respect them. I got the onion peeled back on their business dealings and they are some of the smartest dealmakers I’ve ever seen. Also I hate saying it because I believe gender games are net negative, but I wonder if they’d get so much hate if they weren’t females? I liked the idea of keeping a travel diary like my friend GREG ISENBERG does… Otherwise these moments pass like sand through my fingers. What do you think? I’m going to name it Where Have Ya Been or Lessons from the Road. Which do you like more?
0:49

I’m on a plane back from a week in Los Angeles and some lessons there shocked me. I met w/ a billionaire, Bryan Johnson, a top 10 podcaster, an A24 movie exec, and a Presidential candidate. 12 learnings from too many meetings to count in Hollywood: 1. LA is not dead. Far from it. I ran into 5 people who I needed to meet with at one hotel in 4 days. The epicenter of media may be disaggregating to Austin, NY and globally... but the density is still here. 2. Bryan Johnson is now one of my favorite humans. I hung with him at his house, tried his 20,000 crunches in 30 minutes machine, and talked about the purpose of life. The internet is a sad state that they don’t give him more credit. 3. Digital media today is like distributed news before cable news. We are at a tipping point for expansion in this digital industry. It feels somehow played out to those of us in it, but it’s just starting. 4. Hollywood is watching creators and UGC closely. I met w/ one exec who said in the not so distant future Netflix will have UGC on it. 5. may be this generation's Anthony Bourdain for thinking. I sat down with him and I think the work he’s doing on youtube is going to be something to watch... closely. 6. Buying boring businesses is not at all interesting to those in LA. BUT - asset accumulation and portfolios are. They buy assets (film rights, etc) all day. They are starting to think about the business of celebrities, creators and their work similar to how I think of investment management. 7. LA is a tale of two cities. I spoke at the convention center that was surrounded by derelict minority businesses and houses, then hung out at private members-only clubs that are all over West Hollywood where Lebron, Chris Voss and all the big timers play. The two places are 10 minutes away but an absolute world apart. 8. The mental health and drug crisis is out of control. Stroll along a downtown street and zombie after zombie trails. I saw people shitting and eating next to one another and across from a Starbucks. I asked our corporate host if this was “normal?” They replied, you stop noticing it after awhile. 9. Offices are completely empty. A friend got an office space for 50% off and more than 40% of the highrise is unoccupied. How odd that home prices are high, housing is really tough to come by, but office space is a blue ocean. 10. Met up with Tulsi Gabbard 🌺, a friend who was traveling to the border to see the situation live. I am grateful to have people fight for the truth even when it is unpopular. We need more leaders like her. 11. Every time I meet with a billionaire I realize all over again that to achieve that level of wealth, you cannot be normal. Truly. He’s weirdly comfortable with discomfort and complete lack of people pleasing. 12. The more I learn about the Kardashians in some ways, the more I respect them. I got the onion peeled back on their business dealings and they are some of the smartest dealmakers I’ve ever seen. Also I hate saying it because I believe gender games are net negative, but I wonder if they’d get so much hate if they weren’t females? I liked the idea of keeping a travel diary like my friend GREG ISENBERG does… Otherwise these moments pass like sand through my fingers. What do you think? I’m going to name it Where Have Ya Been or Lessons from the Road. Which do you like more?

Codie Sanchez

311,141 views • 2 years ago

My Thoughts on R2 after my time with it! Short review! First, Rivian completely nailed this thing. I love the positioning of the driver seats. That long front nose gives a nice commanding feel. They will sell each and every one of these! Driving impression/suspension: 9/10 I felt the vehicle has good build quality. It felt *tight* and secure. Power delivery was smooth and crisp in all-purpose. Sport mode fella unlocked and ready for all the fun things. Power is rapid and consistent with a full power moment around 35-40mph, all the power is there. There is a good amount of nose rise during a hard acceleration. But I do feel the suspension was working well to control this. Remember this isn’t an air suspension. It’s a coil suspension. There is a difference between the suspension setting soft was SOFT. Firm was stiff but not overly stiff. It didn’t have that bouncing effect that some vehicles can have when going into firm suspension. Moderate was a good balance. I wish it could be more adaptive in moderate but it’s very very good. Turn in was good, and the turning radius was excellent. Switching from D to R for a 3-point turn was smooth and quick, no jerkiness. Very good control over entrance to parking lots. Stable. Lastly, it feels like the small delay some R1 have in throttle is gone with R2. Software: 8/10 This is where you guys know I am hard on them on. Because I want the best they can give. Rivian OS2.0 is a HUGE upgrade over R1. In all cases. Responsiveness, touch input, speed, app switching, keyboard responsiveness, etc., it is a huge difference. I love the new “fish stick” bar. And settings being available with one tap and being app-dependent first is fantastic. Well done Wassym Bensaid, the halo are great. The only thing about them is while driving, it’s hard to get a direct click, especially when trying to use it to switch drive modes where you have to push towards you. The halo likes the spin/move, but I think I just need to get used to it. Living with it would for sure help with that. I’m really hoping they fully unlock customization for them. You can end up with 8 different characters you could adjust. I really like having the driver display. But driving with it, you can notice how much smaller it is compared to R1. It’s no deal breaker, but it’s noticeable. Cameras felt snapper and of higher quality over Gen 2 R1. The turn signal sounds is new I like it as well as the forward and Evers noise it makes. Think Tesla sound when shifting. Audio: Now I’ve experienced R2 3x now. With 2 times with audio. The audio was significantly better than when I got to sit it in, in Miami for a block party. It’s about as good as R1 is now. There did feel like a sub was there. That’s great. I used my Apple Music account so I could listen to the song I love. And it was great. Not perfect but good enough. Long as it’s comparable to R1, it’s okay. Cabin: It was very well appointed. I actually found it sufficiently quiet. 🤫 I think for sure it’s quieter than my R1T without question. The HVAC system design (air vent) I like better than R1. I feel like the HVAC system now can blow the air on better than trying to. I need more time to test preconditioning because that’s where I’ve seen most of the issues with my R1 vehicles. Tons of space, easy to drop the seats, it’s flat, and nice under-floor space. The 1-touch drop for all windows was excellent. Overall: I think this is the Rivian everyone has been waiting for. This will be a fantastic one-car solution for so many families. There is storage for days, off-road abilities a Model Y can’t even think of doing, but the UHF needs to improve quicker than it currently is because that is really becoming a buying decision for people. Tim and I can’t wait to take delivery of our R2 Rivian; we are ready! Feel free to ask me anything about the R2! I’ll do my best to answer it or get you the answer. It’s a 10/10 for so many people.
0:58

My Thoughts on R2 after my time with it! Short review! First, Rivian completely nailed this thing. I love the positioning of the driver seats. That long front nose gives a nice commanding feel. They will sell each and every one of these! Driving impression/suspension: 9/10 I felt the vehicle has good build quality. It felt *tight* and secure. Power delivery was smooth and crisp in all-purpose. Sport mode fella unlocked and ready for all the fun things. Power is rapid and consistent with a full power moment around 35-40mph, all the power is there. There is a good amount of nose rise during a hard acceleration. But I do feel the suspension was working well to control this. Remember this isn’t an air suspension. It’s a coil suspension. There is a difference between the suspension setting soft was SOFT. Firm was stiff but not overly stiff. It didn’t have that bouncing effect that some vehicles can have when going into firm suspension. Moderate was a good balance. I wish it could be more adaptive in moderate but it’s very very good. Turn in was good, and the turning radius was excellent. Switching from D to R for a 3-point turn was smooth and quick, no jerkiness. Very good control over entrance to parking lots. Stable. Lastly, it feels like the small delay some R1 have in throttle is gone with R2. Software: 8/10 This is where you guys know I am hard on them on. Because I want the best they can give. Rivian OS2.0 is a HUGE upgrade over R1. In all cases. Responsiveness, touch input, speed, app switching, keyboard responsiveness, etc., it is a huge difference. I love the new “fish stick” bar. And settings being available with one tap and being app-dependent first is fantastic. Well done Wassym Bensaid, the halo are great. The only thing about them is while driving, it’s hard to get a direct click, especially when trying to use it to switch drive modes where you have to push towards you. The halo likes the spin/move, but I think I just need to get used to it. Living with it would for sure help with that. I’m really hoping they fully unlock customization for them. You can end up with 8 different characters you could adjust. I really like having the driver display. But driving with it, you can notice how much smaller it is compared to R1. It’s no deal breaker, but it’s noticeable. Cameras felt snapper and of higher quality over Gen 2 R1. The turn signal sounds is new I like it as well as the forward and Evers noise it makes. Think Tesla sound when shifting. Audio: Now I’ve experienced R2 3x now. With 2 times with audio. The audio was significantly better than when I got to sit it in, in Miami for a block party. It’s about as good as R1 is now. There did feel like a sub was there. That’s great. I used my Apple Music account so I could listen to the song I love. And it was great. Not perfect but good enough. Long as it’s comparable to R1, it’s okay. Cabin: It was very well appointed. I actually found it sufficiently quiet. 🤫 I think for sure it’s quieter than my R1T without question. The HVAC system design (air vent) I like better than R1. I feel like the HVAC system now can blow the air on better than trying to. I need more time to test preconditioning because that’s where I’ve seen most of the issues with my R1 vehicles. Tons of space, easy to drop the seats, it’s flat, and nice under-floor space. The 1-touch drop for all windows was excellent. Overall: I think this is the Rivian everyone has been waiting for. This will be a fantastic one-car solution for so many families. There is storage for days, off-road abilities a Model Y can’t even think of doing, but the UHF needs to improve quicker than it currently is because that is really becoming a buying decision for people. Tim and I can’t wait to take delivery of our R2 Rivian; we are ready! Feel free to ask me anything about the R2! I’ll do my best to answer it or get you the answer. It’s a 10/10 for so many people.

Tyrone Holland🚀🧑🏽‍💻

32,078 views • 2 months ago

Rory McIlroy said it, but no one is paying attention, especially those from major golf organizations and the PGA Tour board At the Valero Texas Open pre-tournament Wednesday interview Rory McIlroy said: “It will be really interesting to see how the major championship numbers fare compared to the other bigger events because there’s an argument to be made if the numbers are better and you’ve got all the best players in the world playing, then there’s an argument to say ‘OK, we need to get this thing back together.’ “But on the flip side, if the numbers aren’t as good, it’s an argument to still say we need to put everyone back together because people are losing interest in the game even if they don’t want to tune in to the four major championships.” The Masters final round ratings came out today and there is a reported 20% drop in TV viewership from last year’s final round. Earlier in the week ESPN reported that it had its largest two-day average (3.4 million viewers) for the first and second rounds of The Masters tournament since 2018. Coincidentally the first-round leader of the tournament was @b_dechambeau , Tiger Woods was back and playing decent (the first two rounds) and world #1 Scottie Scheffler was one shot back from DeChambeau. At the end of the second round DeChambeau was tied for the lead with Scheffler, and Tiger Woods made the cut. No wonder ESPN had good viewership numbers for the first two rounds. A LIV Golf player was tied for the lead with world number #1 Scottie Scheffler after the second round and Tiger Woods made his 24th consecutive cut in The Masters, a record for major championships. Then everything went downhill from there. At the end of the third round DeChambeau had faded to 5th place, 4 shots behind the leader Scheffler and at that point everyone had Scheffler as the tournament winner, which he won on Sunday. Scheffler played wonderful golf and dominated the last round of the tournament, he won by 4 shots over a PGA Tour player playing in his first ever major championship and 7 strokes over a group of Tour veterans. LIV Golf players Cam Smith and DeChambeau finished in a tie for 6th place, 9 shots back of the winner. The tournament was decided early in the final round, there were no back nine roars, and no one really threatened Scheffler’s lead. In the past when Tiger Woods had those dominant tournaments the TV ratings did not suffer. On the contrary, sometimes they increased. There are four factors for the drop in TV ratings: 1. The lack of charismatic players at the top of that leaderboard, starting with the eventual winner Scottie Scheffler and followed by a Tour rookie with a wonderful game but not much personality. Scheffler is playing the best golf in the world and is the undisputed world #1 but as we say in Spanish, he is a “huevo sin sal” (a boiled egg without salt), his game is awesome, but even with all the push from the golf establishment he doesn’t have the charisma or the “star power” of a Woods, McIlroy or DeChambeau to name a few. 2. All the analysts gave the tournament to Scheffler at the start of the week and once he had the solo lead after the third round it was over for the viewers. They had been hearing all week that Scheffler was going to win it, and the golf media did not really push anyone else. 3. The lack of LIV golfers within close distance of Scheffler like it happened on the first two rounds, and CBS not showing much of those LIV players closer to the lead on Sunday. Four LIV players finished in the top 12 but LIV Golf fans saw little of them on TV. CBS ignored the LIV fans while ESPN was showing plenty of LIV players since Wednesday’s par 3 contest, big mistake by CBS! 4. Golf is divided! Like Rory said, “we need to put everyone back together because people are losing interest in the game.” That losing interest translates to 20% less on the PGA Tour and now 20% less on the final round of a major that is considered the biggest draw. Just a couple of weeks ago the women’s college National Basketball Championship game had almost twice as many viewers as The Masters final round. Now they will try to spin the bad ratings numbers with streaming app numbers, but we have been hearing for three years that streaming numbers does not count. For them, suddenly, streaming numbers are valuable! What the major golf organizations should do is stop the pettiness, move the egos to the side, ACCEPT that your industry is being disrupted (it was there for the taking, but you guys were asleep on the wheel), listen to what McIlroy and Jon Rahm Rodriguez have to say, and instead of dividing it further, get together in a room and solve this problem at ONCE (not in a year or two to see what happens or to wait for other investments like the TGL to get off the ground), do it for the good of the game! A lot has been said about the players greed and the money talks, but the major golf organizations and its leaders (Ridley, Tiger, Whan, Waugh, Slumbers, Kinnings, Monahan/Herlihy, et al.) are the greediest and most power hungry of them all, and are doing a disservice to the game of golf.
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Rory McIlroy said it, but no one is paying attention, especially those from major golf organizations and the PGA Tour board At the Valero Texas Open pre-tournament Wednesday interview Rory McIlroy said: “It will be really interesting to see how the major championship numbers fare compared to the other bigger events because there’s an argument to be made if the numbers are better and you’ve got all the best players in the world playing, then there’s an argument to say ‘OK, we need to get this thing back together.’ “But on the flip side, if the numbers aren’t as good, it’s an argument to still say we need to put everyone back together because people are losing interest in the game even if they don’t want to tune in to the four major championships.” The Masters final round ratings came out today and there is a reported 20% drop in TV viewership from last year’s final round. Earlier in the week ESPN reported that it had its largest two-day average (3.4 million viewers) for the first and second rounds of The Masters tournament since 2018. Coincidentally the first-round leader of the tournament was @b_dechambeau , Tiger Woods was back and playing decent (the first two rounds) and world #1 Scottie Scheffler was one shot back from DeChambeau. At the end of the second round DeChambeau was tied for the lead with Scheffler, and Tiger Woods made the cut. No wonder ESPN had good viewership numbers for the first two rounds. A LIV Golf player was tied for the lead with world number #1 Scottie Scheffler after the second round and Tiger Woods made his 24th consecutive cut in The Masters, a record for major championships. Then everything went downhill from there. At the end of the third round DeChambeau had faded to 5th place, 4 shots behind the leader Scheffler and at that point everyone had Scheffler as the tournament winner, which he won on Sunday. Scheffler played wonderful golf and dominated the last round of the tournament, he won by 4 shots over a PGA Tour player playing in his first ever major championship and 7 strokes over a group of Tour veterans. LIV Golf players Cam Smith and DeChambeau finished in a tie for 6th place, 9 shots back of the winner. The tournament was decided early in the final round, there were no back nine roars, and no one really threatened Scheffler’s lead. In the past when Tiger Woods had those dominant tournaments the TV ratings did not suffer. On the contrary, sometimes they increased. There are four factors for the drop in TV ratings: 1. The lack of charismatic players at the top of that leaderboard, starting with the eventual winner Scottie Scheffler and followed by a Tour rookie with a wonderful game but not much personality. Scheffler is playing the best golf in the world and is the undisputed world #1 but as we say in Spanish, he is a “huevo sin sal” (a boiled egg without salt), his game is awesome, but even with all the push from the golf establishment he doesn’t have the charisma or the “star power” of a Woods, McIlroy or DeChambeau to name a few. 2. All the analysts gave the tournament to Scheffler at the start of the week and once he had the solo lead after the third round it was over for the viewers. They had been hearing all week that Scheffler was going to win it, and the golf media did not really push anyone else. 3. The lack of LIV golfers within close distance of Scheffler like it happened on the first two rounds, and CBS not showing much of those LIV players closer to the lead on Sunday. Four LIV players finished in the top 12 but LIV Golf fans saw little of them on TV. CBS ignored the LIV fans while ESPN was showing plenty of LIV players since Wednesday’s par 3 contest, big mistake by CBS! 4. Golf is divided! Like Rory said, “we need to put everyone back together because people are losing interest in the game.” That losing interest translates to 20% less on the PGA Tour and now 20% less on the final round of a major that is considered the biggest draw. Just a couple of weeks ago the women’s college National Basketball Championship game had almost twice as many viewers as The Masters final round. Now they will try to spin the bad ratings numbers with streaming app numbers, but we have been hearing for three years that streaming numbers does not count. For them, suddenly, streaming numbers are valuable! What the major golf organizations should do is stop the pettiness, move the egos to the side, ACCEPT that your industry is being disrupted (it was there for the taking, but you guys were asleep on the wheel), listen to what McIlroy and Jon Rahm Rodriguez have to say, and instead of dividing it further, get together in a room and solve this problem at ONCE (not in a year or two to see what happens or to wait for other investments like the TGL to get off the ground), do it for the good of the game! A lot has been said about the players greed and the money talks, but the major golf organizations and its leaders (Ridley, Tiger, Whan, Waugh, Slumbers, Kinnings, Monahan/Herlihy, et al.) are the greediest and most power hungry of them all, and are doing a disservice to the game of golf.

JCAGOLFReport

974,941 views • 2 years ago