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Turn the lights off but it's Zenless Zone Zero 🚺Model: DaB | 🇲🇽Waffle 🔞 🎶Scene: Lambo🔞COMMS CLOSSED (3/3) 📺Yt: 💎4k + no watermark on my Patreon & Boosty (link in bio) #zzzero #turnthelightsoff #meme #ZenlessZoneZero

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Loonoosh

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45,200 просмотров • 8 месяцев назад •via X (Twitter)

NSFW#zzzero#turnthelightsoff#meme#ZenlessZoneZero
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ZZZ Feet Party - Map: Lambo🔞COMMS CLOSSED (3/3) - Belle, Burnice, Lucia, Ellen: DaB - Nangong, Sunna, Aria: Never Yapph - Seed, Alice, Yuzuha: D-CHAN - Remielle, Caesar, Cissia, Jane Doe: 🇲🇽Waffle 🔞 A lot of characters in this one! #zzzero #remielle
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ZZZ Feet Party - Map: Lambo🔞COMMS CLOSSED (3/3) - Belle, Burnice, Lucia, Ellen: DaB - Nangong, Sunna, Aria: Never Yapph - Seed, Alice, Yuzuha: D-CHAN - Remielle, Caesar, Cissia, Jane Doe: 🇲🇽Waffle 🔞 A lot of characters in this one! #zzzero #remielle

BinaryGloves

796,819 просмотров • 2 месяцев назад

🚨 $SPCX IS GOING THROUGH ITS FINAL FLUSH Topped at $228. Sitting at $144 right now. 37% off and still dumping This drop isn't a sign of weakness. It's the setup Here's what the market is completely missing The bounce at $150 already broke down. That was the last door out for the tourists Next up: the Bottom. My zone is $70-$80. We're talking weeks, not months After that comes phase where real money is made and almost nobody will catch it Accumulation. Three full months. September to November A boring, sideways range between $80 and $112 Retail will write it off. The news cycle will forget it exists Yet every dip gets absorbed. Every pop gets faded straight back into range That's not random chop. That's institutions stacking shares one block at a time Ask yourself this: who's buying when everyone else has thrown in towel? The ones who had this whole script mapped out back in June Sit with that for a second One level is all you need to watch: $112. The top of range Once SPCX takes it back and holds above - accumulation is done. My call: December From there it goes straight up. Zero pullbacks for anyone who's late My target: $300+ by early 2027 From the accumulation zone that's a 3-4x. From today's $143 - over 2x You're either building your bag at the base or chasing breakout No middle ground The second I fire off my first buy, it's going up HERE Turn on notifications. The next call is already in oven
0:23

🚨 $SPCX IS GOING THROUGH ITS FINAL FLUSH Topped at $228. Sitting at $144 right now. 37% off and still dumping This drop isn't a sign of weakness. It's the setup Here's what the market is completely missing The bounce at $150 already broke down. That was the last door out for the tourists Next up: the Bottom. My zone is $70-$80. We're talking weeks, not months After that comes phase where real money is made and almost nobody will catch it Accumulation. Three full months. September to November A boring, sideways range between $80 and $112 Retail will write it off. The news cycle will forget it exists Yet every dip gets absorbed. Every pop gets faded straight back into range That's not random chop. That's institutions stacking shares one block at a time Ask yourself this: who's buying when everyone else has thrown in towel? The ones who had this whole script mapped out back in June Sit with that for a second One level is all you need to watch: $112. The top of range Once SPCX takes it back and holds above - accumulation is done. My call: December From there it goes straight up. Zero pullbacks for anyone who's late My target: $300+ by early 2027 From the accumulation zone that's a 3-4x. From today's $143 - over 2x You're either building your bag at the base or chasing breakout No middle ground The second I fire off my first buy, it's going up HERE Turn on notifications. The next call is already in oven

Klarck

67,149 просмотров • 12 дней назад

YES, FUCKING YES! I DID IT !!! In my last post, I heavily trashed Qwen3.8 Flash Next, claiming it couldn't do anything at all. I managed to get awesome speed out of it, but in nearly 3 hours it couldn't even generate a simple Pagoda Garden. I had no clue what was going on. Turns out the issue was with my custom quant, which I built myself to fit 256k context + vision into 4x3090 with good throughput. Ton Cao released a properly calibrated AWQ INT4 of this model, but it was larger than mine and didn't fit into my 96GB as-is. CUDA OOM - sounds familiar to everyone, right? I decided to tackle it and make something that actually works. A full day of work, interrupted only by 5 hours of sleep. To fit 262K context, I had to un-fuse the fused layers and quantize all non-sensitive projections to FP8. vLLM allows only 1 quantization scheme per fused layer, which turned into writing a custom loader and 13 launch attempts 😭 Attempt 12 finally loaded, and I was so hyped. But the model's output was pure gibberish, total mush. Turns out TP4 was slicing the fused QKV matrix in the wrong places, for fuck's sake. Attempt 13 fixed the slicing. 262K fit. The model kept spitting garbage on any complex task. Short answers were fine, a 40K needle test was fine, but ask for a three.js scene - and you get 16,384 tokens of complete shit. I was devastated. The root cause of all this was just mind-bogglingly fucked up. 48 tiny tensors, shared_expert_gate.weight, ~5 KB each. My build script quantized them to FP8, but the runtime read them as BF16 without applying the scale 🤡 The gate expects values around 0.077, but was receiving 448 🤡🤡 Eat up, my dear friend. And this gate determines how much the shared expert contributes to every single token. I restored all 48 from the original checkpoint - and the pagoda scene, which I had spent hours grinding on and ran dozens of times - just passed twice in a row. Wanna know how mindblown I was? Exactly. Then the model swallowed 258,008 real prompt tokens with an image and nailed the needle test. Decode at 63-68 tok/s at 220 W per GPU - identical to what the broken build pushed. Video is the proof. One prompt, two sets of weights: reference BF16 vs. my Franken-quant running on 4 gaming GPUs from 2020. One-shot, zero fixes. Mine finished first, and the scene came out tighter. It's just 1 prompt, so I won't call it a benchmark. 24 hours of my life for 240 KB of broken tensors 🤡🤡🤡
1:01

YES, FUCKING YES! I DID IT !!! In my last post, I heavily trashed Qwen3.8 Flash Next, claiming it couldn't do anything at all. I managed to get awesome speed out of it, but in nearly 3 hours it couldn't even generate a simple Pagoda Garden. I had no clue what was going on. Turns out the issue was with my custom quant, which I built myself to fit 256k context + vision into 4x3090 with good throughput. Ton Cao released a properly calibrated AWQ INT4 of this model, but it was larger than mine and didn't fit into my 96GB as-is. CUDA OOM - sounds familiar to everyone, right? I decided to tackle it and make something that actually works. A full day of work, interrupted only by 5 hours of sleep. To fit 262K context, I had to un-fuse the fused layers and quantize all non-sensitive projections to FP8. vLLM allows only 1 quantization scheme per fused layer, which turned into writing a custom loader and 13 launch attempts 😭 Attempt 12 finally loaded, and I was so hyped. But the model's output was pure gibberish, total mush. Turns out TP4 was slicing the fused QKV matrix in the wrong places, for fuck's sake. Attempt 13 fixed the slicing. 262K fit. The model kept spitting garbage on any complex task. Short answers were fine, a 40K needle test was fine, but ask for a three.js scene - and you get 16,384 tokens of complete shit. I was devastated. The root cause of all this was just mind-bogglingly fucked up. 48 tiny tensors, shared_expert_gate.weight, ~5 KB each. My build script quantized them to FP8, but the runtime read them as BF16 without applying the scale 🤡 The gate expects values around 0.077, but was receiving 448 🤡🤡 Eat up, my dear friend. And this gate determines how much the shared expert contributes to every single token. I restored all 48 from the original checkpoint - and the pagoda scene, which I had spent hours grinding on and ran dozens of times - just passed twice in a row. Wanna know how mindblown I was? Exactly. Then the model swallowed 258,008 real prompt tokens with an image and nailed the needle test. Decode at 63-68 tok/s at 220 W per GPU - identical to what the broken build pushed. Video is the proof. One prompt, two sets of weights: reference BF16 vs. my Franken-quant running on 4 gaming GPUs from 2020. One-shot, zero fixes. Mine finished first, and the scene came out tighter. It's just 1 prompt, so I won't call it a benchmark. 24 hours of my life for 240 KB of broken tensors 🤡🤡🤡

Alexey Fateev

129,122 просмотров • 29 дней назад

🎶🎶 Karmageddon 🎶🎶 By: Iyah May iyah may The Australian singer refused to acquiesce and change the lyrics to this song which resulted in being dropped by her manager and leaving her record label (Island Records Australia a division of Universal Music AU), since becoming an independent artist. She boldly called out cancel culture, corporate deceit, big pharma profiteering, division/duality, endless wars, fake news legacy media, pedophilia and political corruption. Lyrics: I open up my phone on a Monday morning Staring at my screen I'm tired and a little lonely Mr Musk (Elon Musk) he said some shit the lefts are angry Twitter wars and Gaza man it's overwhelming Maybe that's how life becomes when People less important than a profit line No one cares about your dreams just pay Your tax on time Keep scrolling Hold me near to you now Gender, guns, religion and abortion rights You better pick a tribe and hate the other side Keep scrolling But did you see Taylor (Taylor Swift) live? Man made virus watch the millions die Biggest profit of their lives Here's inflation that's your prize This is Karmageddon Turn on the news and eat their lies Kim (Kim Kardashian) or Kanye (ye) pick a side Cancel culture what a vibe This is Karmageddon Corporations swear they never lie Politicians bribed for life More than war it's genocide This is Karmageddon Welcome to the chaos of the times If you go left and I go right Pray we make it out alive This is Karmageddon It's fashion week celebs lose ribs Balenciaga how's the kids Just ask Drizzy he's losing beef Kendrick (Kendrick Lamar) killed him in his sleep Diss tracks about beating up your queen While women dying doesn't cause a scene While we're fed all these distractions Kids are killed from Israel's actions I'mma speak my mind Sick to death of all these crazy lies A circus for humanity's decline We just want a peaceful life give the people back their rights And I've still got a beef Cause Fauci's laughing and we've been asleep And World Health Organization (WHO)'s a liar and it's running deep Big pharma finna eat they a devil make them weak Man made virus watch the millions die Biggest profit of their lives Here's inflation that's your prize This is Karmageddon Turn on the news and eat their lies Kim or Kanye pick a side Cancel culture what a vibe This is Karmageddon Corporations swear they never lie Politicians bribed for life More than war it's genocide This is Karmageddon Welcome to the chaos of the times If you go left and I go right Pray we make it out alive This is Karmageddon Stream Options: 🎶 YouTube Link: 📺 💊
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🎶🎶 Karmageddon 🎶🎶 By: Iyah May iyah may The Australian singer refused to acquiesce and change the lyrics to this song which resulted in being dropped by her manager and leaving her record label (Island Records Australia a division of Universal Music AU), since becoming an independent artist. She boldly called out cancel culture, corporate deceit, big pharma profiteering, division/duality, endless wars, fake news legacy media, pedophilia and political corruption. Lyrics: I open up my phone on a Monday morning Staring at my screen I'm tired and a little lonely Mr Musk (Elon Musk) he said some shit the lefts are angry Twitter wars and Gaza man it's overwhelming Maybe that's how life becomes when People less important than a profit line No one cares about your dreams just pay Your tax on time Keep scrolling Hold me near to you now Gender, guns, religion and abortion rights You better pick a tribe and hate the other side Keep scrolling But did you see Taylor (Taylor Swift) live? Man made virus watch the millions die Biggest profit of their lives Here's inflation that's your prize This is Karmageddon Turn on the news and eat their lies Kim (Kim Kardashian) or Kanye (ye) pick a side Cancel culture what a vibe This is Karmageddon Corporations swear they never lie Politicians bribed for life More than war it's genocide This is Karmageddon Welcome to the chaos of the times If you go left and I go right Pray we make it out alive This is Karmageddon It's fashion week celebs lose ribs Balenciaga how's the kids Just ask Drizzy he's losing beef Kendrick (Kendrick Lamar) killed him in his sleep Diss tracks about beating up your queen While women dying doesn't cause a scene While we're fed all these distractions Kids are killed from Israel's actions I'mma speak my mind Sick to death of all these crazy lies A circus for humanity's decline We just want a peaceful life give the people back their rights And I've still got a beef Cause Fauci's laughing and we've been asleep And World Health Organization (WHO)'s a liar and it's running deep Big pharma finna eat they a devil make them weak Man made virus watch the millions die Biggest profit of their lives Here's inflation that's your prize This is Karmageddon Turn on the news and eat their lies Kim or Kanye pick a side Cancel culture what a vibe This is Karmageddon Corporations swear they never lie Politicians bribed for life More than war it's genocide This is Karmageddon Welcome to the chaos of the times If you go left and I go right Pray we make it out alive This is Karmageddon Stream Options: 🎶 YouTube Link: 📺 💊

Not Op Cue

141,544 просмотров • 1 год назад

My primary broker for trading is Kotak Neo. My secondary broker was Zerodha. But since their brokerage charges are quite high, I landed on IIFL as a secondary broker. IIFL has an excellent pricing model and a RM for all kinds of service requests, which felt like a compelling proposition. But it's barely been 3 months, and I will advise everyone against doing what I did. While Algo trading has worked fine, any kind of discretionary trading has been a horrible experience ! I've faced numerous glitches on both their Web and Mobile platforms, atleast 3-4 times, and there is absolutely zero accountability on resolution and explanation of those glitches. On top of that, their UI is one of the worst amongst all the brokers I've ever worked with. On 7 July Nifty weekly expiry day, I wasn't able to exit my positions for a few minutes after 3pm (refer video). Thankfully, they were OTM strikes and I was able to exit using the mobile platform. On sharing the issue with the RM, he just responded he's escalated the issue to the technical team and they will resolve/contact me. Almost 3 weeks later, nobody has contacted me even once or shared any root cause analysis of the issue with me. Then 23-24 July, the platform had a different type of glitch where the UI response was pathetically slow. If you clicked on Add/Exit (Buy/Sell) the order window took an insane 5-10 seconds just to open. On top of that, clicking on a specific strike was opening up the order window of a different strike. So I thought to try the mobile app, and that wasn't working either. Though the platform started working again after sometime, the issue was persisting intermittently throughout the 2 days. On contacting the RM, he again gave the usual response of escalating to technical team. The whole day passed, no acknowledgment of the issue, no resolution, no accountability. On a side note, I was able to recover any losses by close. I also asked my RM, if they'll waive off the brokerage charges of that day, because of the horrendous experience - and he said no can't do that. For 1500-2000, I won't waste my time to complain to SEBI but it should tell you about IIFL's thinking around customer experience. Absolutely pathetic service from a so called "full service broker". Before shifting to IIFL, I had spoken to a couple of people as well specifically to ask about "glitches on their platform" and they all said they've never really experienced it in 7-8 years beyond maybe 1-2 times. It is super hard for me to believe that right now. "The bitterness of poor quality remains long after the sweetness of low price is forgotten" IIFL Capital Services Limited
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My primary broker for trading is Kotak Neo. My secondary broker was Zerodha. But since their brokerage charges are quite high, I landed on IIFL as a secondary broker. IIFL has an excellent pricing model and a RM for all kinds of service requests, which felt like a compelling proposition. But it's barely been 3 months, and I will advise everyone against doing what I did. While Algo trading has worked fine, any kind of discretionary trading has been a horrible experience ! I've faced numerous glitches on both their Web and Mobile platforms, atleast 3-4 times, and there is absolutely zero accountability on resolution and explanation of those glitches. On top of that, their UI is one of the worst amongst all the brokers I've ever worked with. On 7 July Nifty weekly expiry day, I wasn't able to exit my positions for a few minutes after 3pm (refer video). Thankfully, they were OTM strikes and I was able to exit using the mobile platform. On sharing the issue with the RM, he just responded he's escalated the issue to the technical team and they will resolve/contact me. Almost 3 weeks later, nobody has contacted me even once or shared any root cause analysis of the issue with me. Then 23-24 July, the platform had a different type of glitch where the UI response was pathetically slow. If you clicked on Add/Exit (Buy/Sell) the order window took an insane 5-10 seconds just to open. On top of that, clicking on a specific strike was opening up the order window of a different strike. So I thought to try the mobile app, and that wasn't working either. Though the platform started working again after sometime, the issue was persisting intermittently throughout the 2 days. On contacting the RM, he again gave the usual response of escalating to technical team. The whole day passed, no acknowledgment of the issue, no resolution, no accountability. On a side note, I was able to recover any losses by close. I also asked my RM, if they'll waive off the brokerage charges of that day, because of the horrendous experience - and he said no can't do that. For 1500-2000, I won't waste my time to complain to SEBI but it should tell you about IIFL's thinking around customer experience. Absolutely pathetic service from a so called "full service broker". Before shifting to IIFL, I had spoken to a couple of people as well specifically to ask about "glitches on their platform" and they all said they've never really experienced it in 7-8 years beyond maybe 1-2 times. It is super hard for me to believe that right now. "The bitterness of poor quality remains long after the sweetness of low price is forgotten" IIFL Capital Services Limited

Gurjot Ahluwalia

28,265 просмотров • 2 месяцев назад

losers spend money on club tables and take home zero girls buying bottles at liv miami trying to impress models who make $500/night when you could be recruiting them for onlyfans with 0% apr tables and take 90% of their revenue... $300k/month from girls you met at clubs here's the onlyfans mafia system destroying simps: every weekend desperate mfs drop $50k cash on tables models pretend to care for 3 hours everyone goes home alone money wasted meanwhile smart operators run different game: THE CREDIT CARD TABLE HACK: get $150k in business funding at 0% apr book owner's tables at tier-1 miami clubs never spend cash - everything on cards earn 300k points while recruiting cards to get approved for today: - chase ink preferred: $30k typical - amex business gold: $50k typical - capital one spark: $40k typical - wells fargo business: $30k typical $150k at 0% in 30 days if you're not stupid THE RECRUITMENT PSYCHOLOGY: table attracts 10-15 models per night they think you're a whale you're not you're a businessman the pitch that converts 40%: "i manage content creators everything's handled - photographer, editor, marketing creators keep 10% pure profit most make $3-5k/month passive here's my portfolio..." show them your roster: girl #1: was bartending at bodega now: $50k/month on OF her take: $5000 your take: $45,000 girl #2: was bottle service at e11even now: $31k/month her take: $3,100 your take: $27,900 they all say yes THE MIAMI CLUB RANKING: recruit here in exact order: 1. liv (fontainebleau) - international models 2. e11even (24/7) - party girls who need money 3. story (south beach) - college girls 4. space (downtown) - underground scene 5. basement (edition) - high-end escorts transitioning wednesday-thursday better than weekends less competition from actual rich guys girls more desperate for attention THE ONLYFANS ASSEMBLY LINE: week 1: professional shoot ($500) week 2: launch with 50 posts ready week 3: tiktok spam campaign week 4: instagram reels push month 2: optimize pricing month 3: $15-30k/month steady your only job: - recruit - manage photographers - collect 90% THE BUSINESS MODEL MATH: monthly costs: - tables: $40k (on 0% cards) - photographer: $8k - editors: $5k (philippines) - shoot apartment: $4k total overhead: $57k 20 girls at $15k average: $300k your 90% cut: $270k monthly profit: $213k started with credit cards ending with empire THE SCALE FORMULA: month 1-3: recruit 20 girls month 4-6: optimize content month 7-12: $300k/month automated year 2: expand to NYC/LA year 3: sell for $20m to PE fund 3-year exit from credit cards THE DARK PSYCHOLOGY: these girls could do this alone but they won't they need leadership need someone to blame when dad finds out need the infrastructure you're not exploiting you're organizing they were already selling bottle service now they're CEOs making 10x more THE EXACT RECRUITMENT SCRIPT: "hey i know this is random you're exactly the type my agency represents we manage exclusive content creators everything's handled professionally creators keep 10% pure profit most hit $3-5k/month within 90 days here's my card, let's talk monday" success rate: 40% they all call THE CREDIT TO CASH CONVERSION: $150k in business cards approved liquidate through: - plastiq for "rent": 2.85% fee - paypal "consulting": 2.9% fee - square "services": 2.75% fee $150k credit becomes $145k cash fund entire operation at 0% pay minimums from profits THE COMPETITION ELIMINATION: other "managers" take 50% and provide nothing you take 90% but provide everything: - professional content - daily posting - fan management - marketing strategy girls make more with you at 10% than alone at 100% that's why they stay THE EXIT REALITY: building "talent management agency" 30 active models = $500k/month revenue $6m annual agencies sell for 3-5x exit value: $18-30 million from credit cards to 8 figures in 36 months you're either buying bottles like a sucker or building an empire with bank money choose your side Get $100K at 0% APR guaranteed Link in bio → Scale With Credit
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losers spend money on club tables and take home zero girls buying bottles at liv miami trying to impress models who make $500/night when you could be recruiting them for onlyfans with 0% apr tables and take 90% of their revenue... $300k/month from girls you met at clubs here's the onlyfans mafia system destroying simps: every weekend desperate mfs drop $50k cash on tables models pretend to care for 3 hours everyone goes home alone money wasted meanwhile smart operators run different game: THE CREDIT CARD TABLE HACK: get $150k in business funding at 0% apr book owner's tables at tier-1 miami clubs never spend cash - everything on cards earn 300k points while recruiting cards to get approved for today: - chase ink preferred: $30k typical - amex business gold: $50k typical - capital one spark: $40k typical - wells fargo business: $30k typical $150k at 0% in 30 days if you're not stupid THE RECRUITMENT PSYCHOLOGY: table attracts 10-15 models per night they think you're a whale you're not you're a businessman the pitch that converts 40%: "i manage content creators everything's handled - photographer, editor, marketing creators keep 10% pure profit most make $3-5k/month passive here's my portfolio..." show them your roster: girl #1: was bartending at bodega now: $50k/month on OF her take: $5000 your take: $45,000 girl #2: was bottle service at e11even now: $31k/month her take: $3,100 your take: $27,900 they all say yes THE MIAMI CLUB RANKING: recruit here in exact order: 1. liv (fontainebleau) - international models 2. e11even (24/7) - party girls who need money 3. story (south beach) - college girls 4. space (downtown) - underground scene 5. basement (edition) - high-end escorts transitioning wednesday-thursday better than weekends less competition from actual rich guys girls more desperate for attention THE ONLYFANS ASSEMBLY LINE: week 1: professional shoot ($500) week 2: launch with 50 posts ready week 3: tiktok spam campaign week 4: instagram reels push month 2: optimize pricing month 3: $15-30k/month steady your only job: - recruit - manage photographers - collect 90% THE BUSINESS MODEL MATH: monthly costs: - tables: $40k (on 0% cards) - photographer: $8k - editors: $5k (philippines) - shoot apartment: $4k total overhead: $57k 20 girls at $15k average: $300k your 90% cut: $270k monthly profit: $213k started with credit cards ending with empire THE SCALE FORMULA: month 1-3: recruit 20 girls month 4-6: optimize content month 7-12: $300k/month automated year 2: expand to NYC/LA year 3: sell for $20m to PE fund 3-year exit from credit cards THE DARK PSYCHOLOGY: these girls could do this alone but they won't they need leadership need someone to blame when dad finds out need the infrastructure you're not exploiting you're organizing they were already selling bottle service now they're CEOs making 10x more THE EXACT RECRUITMENT SCRIPT: "hey i know this is random you're exactly the type my agency represents we manage exclusive content creators everything's handled professionally creators keep 10% pure profit most hit $3-5k/month within 90 days here's my card, let's talk monday" success rate: 40% they all call THE CREDIT TO CASH CONVERSION: $150k in business cards approved liquidate through: - plastiq for "rent": 2.85% fee - paypal "consulting": 2.9% fee - square "services": 2.75% fee $150k credit becomes $145k cash fund entire operation at 0% pay minimums from profits THE COMPETITION ELIMINATION: other "managers" take 50% and provide nothing you take 90% but provide everything: - professional content - daily posting - fan management - marketing strategy girls make more with you at 10% than alone at 100% that's why they stay THE EXIT REALITY: building "talent management agency" 30 active models = $500k/month revenue $6m annual agencies sell for 3-5x exit value: $18-30 million from credit cards to 8 figures in 36 months you're either buying bottles like a sucker or building an empire with bank money choose your side Get $100K at 0% APR guaranteed Link in bio → Scale With Credit

hunter

15,066 просмотров • 9 месяцев назад

Huge opportunity for creators right now Why Perle Labs got my attention 👀 🔸PerleLabs just dropped a campaign with $55K up for grabs across 400 winners. 🔸I spent hours poured into this piece 🎨 creating art with my feet 🐾 to show that no matter the challenge, creativity finds a way. This isn't just a post; it's my contribution to a future where humans and AI grow together. 🔸We’re entering a world where machines generate knowledge, but rarely understand its source. 🔸Perle Labs is building a system where AI learns from real human knowledge instead of random or low quality data. 🔸You complete simple tasks like labeling reviewing or correcting data, and every action is recorded onchain as proof of your work. 🔸Your effort builds a visible reputation, which helps you access better tasks and higher rewards over time. 🔸Over 50,000 people are already contributing with more than 1.7 million tasks completed across the platform. 🔸This creates a model where humans stay important in AI and your input becomes a real digital asset. 🔸Perle Labs anchors AI back to human insight through verified data and onchain reputation. Making contribution not just useful, but permanent. How to Participate 👇 1. Join Perle’s discord via this link 2. Post an original tweet on X (text, meme, image, or video or anything ) I have made a art with my leg 🦵 art to express my gratitude ) 3. Include the hashtags: #PerleAl + #ToPerle 4. End your tweet with: "- participating in Perle Labs community campaign" 5. Submit your entry → I wish my best luck to all the participants let's support each other and win big . I will be sharing how you can be easily be in top 50 position 🤑in my next post Glad to mention I am "- participating in Perle Labs community campaign "
0:23

Huge opportunity for creators right now Why Perle Labs got my attention 👀 🔸PerleLabs just dropped a campaign with $55K up for grabs across 400 winners. 🔸I spent hours poured into this piece 🎨 creating art with my feet 🐾 to show that no matter the challenge, creativity finds a way. This isn't just a post; it's my contribution to a future where humans and AI grow together. 🔸We’re entering a world where machines generate knowledge, but rarely understand its source. 🔸Perle Labs is building a system where AI learns from real human knowledge instead of random or low quality data. 🔸You complete simple tasks like labeling reviewing or correcting data, and every action is recorded onchain as proof of your work. 🔸Your effort builds a visible reputation, which helps you access better tasks and higher rewards over time. 🔸Over 50,000 people are already contributing with more than 1.7 million tasks completed across the platform. 🔸This creates a model where humans stay important in AI and your input becomes a real digital asset. 🔸Perle Labs anchors AI back to human insight through verified data and onchain reputation. Making contribution not just useful, but permanent. How to Participate 👇 1. Join Perle’s discord via this link 2. Post an original tweet on X (text, meme, image, or video or anything ) I have made a art with my leg 🦵 art to express my gratitude ) 3. Include the hashtags: #PerleAl + #ToPerle 4. End your tweet with: "- participating in Perle Labs community campaign" 5. Submit your entry → I wish my best luck to all the participants let's support each other and win big . I will be sharing how you can be easily be in top 50 position 🤑in my next post Glad to mention I am "- participating in Perle Labs community campaign "

dhiraj

41,009 просмотров • 6 месяцев назад

EMIBONNIE GLOW YOUR SOUL #SeoulSocietyClinicxEmiBonnie Q: This Valentine's day, what do you most want to thank the other person for? 🦊: Everything. 🐰: Being P'Chawee.* 🎤: This Valentine's day, what do you most want to thank the other person for? Time for an emotional scene. 🐰: Hey~ 🦊: Wow, drama. 🎤: Can the mall pls dim the lights? 😆 🦊: What is it that we have to answer again? 🎤: This Valentine's day, if you wanted to thank the other person for something, what do you most want to thank them for? 🦊: That's so hard. 🎤: Is it hard? It's everything, isn't it. 🐰: It's so hard. 🎤: Something that you appreciate abt each other. Something that you're grateful for... (cute, dramatic voice) "for staying beside me during the days when I..." 🎤: Is that too much? 😆 🎤: (cute, dramatic voice) "On the days when I was feeling fragile, on the days when I was sour,** on the days when I'm hungry, on the days when I'm feeling defeated~" 🦊: 😆 🎤: What do you want to thank each other for? But you know, these two are pretty much together 24 hrs a day. 🐰: (shows off answer to fans) 🐰: Bring it! 🎤: If you're not able to write it, we'll have you say it. 🦊: Wow 😆 🐰: Wow~ we're going for emotional? 🎤: Touching and emotional. 🐰: I won't be emotional for you~ 😆 🎤: Bc this month is the month of love~ 🎤: Okay, 1, 2, 3! 🦊: "Being P'Chawee!" That's what you're most impressed abt in me? 😆 🐰: Being P'Chawee for N'Chonlee. Being a sweet older brother. Oh, that's strange. 🎤: Let's have you say it, what you want to thank each other for. 🦊: Can I get an explanation for this? (points to Bonnie's board) 🎤: Can we get an explanation abt this P'Chawee. 🐰: Well, it's an answer to keep it humorous– 🦊: Ah, as is your style. 🐰: Otherwise it'd be too dramatic 😆 🐰: Let's say it's being a sweet phi to me in everything. Being my safe zone. 🎤: Turn on the sad music. 🦊: As P'Chawee? 😆 🐰: You're N'Chonlee's P'Chawee. N'Chonlee's safe zone. Wearing a suit to help Chonlee escape. 🦊: Ahh, okay. 🐰: Yes. 🦊: Gladly. 🗣️: SOURI! 🐰: Buying SOURI for me? 🎤: What was that? 🐰: Oh, the dinosaur (Khon Kaen exclusive SOURI fatcaron). 🦊: Ahh, okay. My answer is everything, bc I can't specify any one thing. 🐰: How so~ (cute 2.2 year old voice) 🎤: Let me get the board and pen for you bc it's already the last question. 🦊: Well, everything. 🎤: What do you mean by that? Everything is so broad. 🦊: For being N'Chonlee for me too. For inviting me to play around in ways that I'd never thought to before. 🐰: Strange... 🎤: Such as? 🐰: Bringing you out of your safe zone. 🦊: Yeah, bringing me out of my safe zone. 🐰: Is that a good thing? 🦊: It's a good thing, bc it's bringing a splash of colour to my life. 🐰: So you won't be bored 😌 🦊: I've been alive for 27 years, it was starting to get boring, but now that N'Chonlee is here, there are things to do. 🐰: Is that all? 🦊: That's all 😆 🎤: Isn't that sweet? Between the two of them, who's more introverted? 🦊: Actually, it's me. See? They know. 🐰: They're saying neither. 🦊: Neither?? 🐰: They're saying the ANYs are. 🎤: Is that true? 🦊: Depends on the situation. 🐰: Right now they must be tired. They must be like me, only hyper sometimes. 🦊: Hyper only sometimes. 🐰: Hyper only sometimes. * Context: or for more general reference, pls see section 7.1 'Stupid Cupid' ( ** Bonnie had answered the previous question with "sour":
3:47

EMIBONNIE GLOW YOUR SOUL #SeoulSocietyClinicxEmiBonnie Q: This Valentine's day, what do you most want to thank the other person for? 🦊: Everything. 🐰: Being P'Chawee.* 🎤: This Valentine's day, what do you most want to thank the other person for? Time for an emotional scene. 🐰: Hey~ 🦊: Wow, drama. 🎤: Can the mall pls dim the lights? 😆 🦊: What is it that we have to answer again? 🎤: This Valentine's day, if you wanted to thank the other person for something, what do you most want to thank them for? 🦊: That's so hard. 🎤: Is it hard? It's everything, isn't it. 🐰: It's so hard. 🎤: Something that you appreciate abt each other. Something that you're grateful for... (cute, dramatic voice) "for staying beside me during the days when I..." 🎤: Is that too much? 😆 🎤: (cute, dramatic voice) "On the days when I was feeling fragile, on the days when I was sour,** on the days when I'm hungry, on the days when I'm feeling defeated~" 🦊: 😆 🎤: What do you want to thank each other for? But you know, these two are pretty much together 24 hrs a day. 🐰: (shows off answer to fans) 🐰: Bring it! 🎤: If you're not able to write it, we'll have you say it. 🦊: Wow 😆 🐰: Wow~ we're going for emotional? 🎤: Touching and emotional. 🐰: I won't be emotional for you~ 😆 🎤: Bc this month is the month of love~ 🎤: Okay, 1, 2, 3! 🦊: "Being P'Chawee!" That's what you're most impressed abt in me? 😆 🐰: Being P'Chawee for N'Chonlee. Being a sweet older brother. Oh, that's strange. 🎤: Let's have you say it, what you want to thank each other for. 🦊: Can I get an explanation for this? (points to Bonnie's board) 🎤: Can we get an explanation abt this P'Chawee. 🐰: Well, it's an answer to keep it humorous– 🦊: Ah, as is your style. 🐰: Otherwise it'd be too dramatic 😆 🐰: Let's say it's being a sweet phi to me in everything. Being my safe zone. 🎤: Turn on the sad music. 🦊: As P'Chawee? 😆 🐰: You're N'Chonlee's P'Chawee. N'Chonlee's safe zone. Wearing a suit to help Chonlee escape. 🦊: Ahh, okay. 🐰: Yes. 🦊: Gladly. 🗣️: SOURI! 🐰: Buying SOURI for me? 🎤: What was that? 🐰: Oh, the dinosaur (Khon Kaen exclusive SOURI fatcaron). 🦊: Ahh, okay. My answer is everything, bc I can't specify any one thing. 🐰: How so~ (cute 2.2 year old voice) 🎤: Let me get the board and pen for you bc it's already the last question. 🦊: Well, everything. 🎤: What do you mean by that? Everything is so broad. 🦊: For being N'Chonlee for me too. For inviting me to play around in ways that I'd never thought to before. 🐰: Strange... 🎤: Such as? 🐰: Bringing you out of your safe zone. 🦊: Yeah, bringing me out of my safe zone. 🐰: Is that a good thing? 🦊: It's a good thing, bc it's bringing a splash of colour to my life. 🐰: So you won't be bored 😌 🦊: I've been alive for 27 years, it was starting to get boring, but now that N'Chonlee is here, there are things to do. 🐰: Is that all? 🦊: That's all 😆 🎤: Isn't that sweet? Between the two of them, who's more introverted? 🦊: Actually, it's me. See? They know. 🐰: They're saying neither. 🦊: Neither?? 🐰: They're saying the ANYs are. 🎤: Is that true? 🦊: Depends on the situation. 🐰: Right now they must be tired. They must be like me, only hyper sometimes. 🦊: Hyper only sometimes. 🐰: Hyper only sometimes. * Context: or for more general reference, pls see section 7.1 'Stupid Cupid' ( ** Bonnie had answered the previous question with "sour":

K-bab

33,128 просмотров • 7 месяцев назад

Here’s my full Rivian R2 Performance review, covering features, design, some things I liked and didn't like, going off-roading, and more: At the end of my weeklong test, it dawned on me that the R2 Performance is a competitor to the Model Y Performance. I say "dawned" because the two vehicles couldn’t feel more different in their overall ethos. The R2 feels at home off-road. It soaks up bumps well, the suspension is well tuned, and it feels like an adventure vehicle. The Model Y Performance feels at home on-road, tackling corners and eating miles with FSD. Exterior: A boxy design might not be the most efficient, but I love the look. I'm a fan of the oval shaped front lights. The side profile and rear also both look great. There is a F1-style light at the top when braking. The 5.2 cu ft frunk is large for a vehicle in this class. The 9.6" ground clearance (3" more than Model Y) gives you a commanding view of what's ahead, but you do get a decent amount of body roll even in firm suspension mode. Fit and finish was good. The 20" Black Sand wheels with all-terrain tires look sweet. Fit and finish was good overall, and the 20-inch Black Sand wheels with all-terrain tires look sweet Interior: I'm a fan of the design. I’ve seen some people say the interior feels cheap, but I mostly disagree. The main touch points use nice textile, wood, and vegan leather trim. One material choice I don’t like, though, is the A- and B-pillars. Instead of textile, Rivian uses a hard, textured plastic designed to look like fabric. It’s also slightly lighter than the all-black headliner, which makes it more noticeable. The entire rear cargo area, aside from the floor, and the tailgate trim are also covered in hard plastic. Whether that’s a good or bad thing depends on how you use the vehicle. It’s easier to clean and probably better suited for hauling dirty gear, but textile or fabric like you get in the Model Y would do a better job absorbing sound and preventing cargo from sliding around and making noise. The front seats are extremely comfortable, and the lumbar support is great. It's easier to spend hours in them. The heated seats and steering wheel get nice and toasty. The cooled seats are some of the best I've ever experienced, but they are also the loudest. You can hear them at 60 mph. You can also feel like motor humming a bit, although that disappears when the vehicle is moving at speed. The sound system is an improvement over the R1S, but I’d still like deeper, more powerful bass, clearer highs, and better overall tuning for a more immersive sound. The dual glove box/storage setup is fantastic. Since both compartments are lockable, I’d use them all the time. The R2 in general has a ton of storage and little cubbies, with 90 cu ft of total storage space. The dual wireless phone chargers are also some of the best implemented I've seen. They use MagSafe, so your phones stay securely in place even when you’re throwing the R2 around off-road, and there is a little area for the phone camera bumps so the phone is flush. The infotainment system is fast and responsive, aside from the occasional minor lag, and the graphics look crisp. I absolutely love the huge navigation view that fills the screen. I wish I could do this in my Model Y. The Gauges section is also really cool, giving you real-time information like battery and motor temps. The Autonomy system works well, but it’s fairly limited in its current form. Think of it as advanced adaptive cruise control with lane keeping and the ability to change lanes on command. It can’t currently handle stop signs, traffic lights, or city driving. RJ has said an FSD (Supervised) like system is coming later this year, so we’ll see. The current R2s use Rivian’s older Gen 2 autonomy hardware. The next-generation Gen 3 hardware arrives next year and is expected to bring a significant increase in capability. It won’t be retrofittable to Gen 2 vehicles, though, so that’s something buyers should keep in mind. The second row has plenty of legroom and headroom. I was a little surprised that it doesn’t have acoustic windows, but it’s still pretty quiet back there. The full glass roof is nice and doesn’t make the cabin feel excessively hot. The interior lighting is VERY bright, which I love. It does a great job illuminating the entire cabin at night. Efficiency: I had the 20" all-terrain wheels, which are rated for 307 miles of range. Over my weeklong test, I averaged about 250–270 miles of range, or 12–19% below the stated range. During a 50-minute trip, with 85% highway and 15% non-highway driving and no crazy acceleration, I averaged 2.83 miles per kWh at an average speed of ~60 mph. That equates to 249 miles of range from a full charge to empty, despite being in Conserve mode. I had a few other trips with similar numbers. Will be interesting to see the what the winter range is like. If you're someone who doesn't go on long trips often or mostly stays in your area and charges at home, these efficiency numbers probably won't matter to you. Final thoughts: I won’t write out every thought here, you can check out my full review video below for that, but overall, the R2 is a great vehicle. It’s a very capable off-roader while still being a comfortable daily driver. The lack of an FSD-like system is a deal-breaker for me personally since I use FSD for virtually all of my miles. It's the most luxurious and mind-blowing vehicle feature on the market today, but that might not be a deal-breaker for other people, and that’s okay. The fact there there are good EVs available is great for consumers. Thanks again Rivian for letting me test the R2 for a week!
29:49

Here’s my full Rivian R2 Performance review, covering features, design, some things I liked and didn't like, going off-roading, and more: At the end of my weeklong test, it dawned on me that the R2 Performance is a competitor to the Model Y Performance. I say "dawned" because the two vehicles couldn’t feel more different in their overall ethos. The R2 feels at home off-road. It soaks up bumps well, the suspension is well tuned, and it feels like an adventure vehicle. The Model Y Performance feels at home on-road, tackling corners and eating miles with FSD. Exterior: A boxy design might not be the most efficient, but I love the look. I'm a fan of the oval shaped front lights. The side profile and rear also both look great. There is a F1-style light at the top when braking. The 5.2 cu ft frunk is large for a vehicle in this class. The 9.6" ground clearance (3" more than Model Y) gives you a commanding view of what's ahead, but you do get a decent amount of body roll even in firm suspension mode. Fit and finish was good. The 20" Black Sand wheels with all-terrain tires look sweet. Fit and finish was good overall, and the 20-inch Black Sand wheels with all-terrain tires look sweet Interior: I'm a fan of the design. I’ve seen some people say the interior feels cheap, but I mostly disagree. The main touch points use nice textile, wood, and vegan leather trim. One material choice I don’t like, though, is the A- and B-pillars. Instead of textile, Rivian uses a hard, textured plastic designed to look like fabric. It’s also slightly lighter than the all-black headliner, which makes it more noticeable. The entire rear cargo area, aside from the floor, and the tailgate trim are also covered in hard plastic. Whether that’s a good or bad thing depends on how you use the vehicle. It’s easier to clean and probably better suited for hauling dirty gear, but textile or fabric like you get in the Model Y would do a better job absorbing sound and preventing cargo from sliding around and making noise. The front seats are extremely comfortable, and the lumbar support is great. It's easier to spend hours in them. The heated seats and steering wheel get nice and toasty. The cooled seats are some of the best I've ever experienced, but they are also the loudest. You can hear them at 60 mph. You can also feel like motor humming a bit, although that disappears when the vehicle is moving at speed. The sound system is an improvement over the R1S, but I’d still like deeper, more powerful bass, clearer highs, and better overall tuning for a more immersive sound. The dual glove box/storage setup is fantastic. Since both compartments are lockable, I’d use them all the time. The R2 in general has a ton of storage and little cubbies, with 90 cu ft of total storage space. The dual wireless phone chargers are also some of the best implemented I've seen. They use MagSafe, so your phones stay securely in place even when you’re throwing the R2 around off-road, and there is a little area for the phone camera bumps so the phone is flush. The infotainment system is fast and responsive, aside from the occasional minor lag, and the graphics look crisp. I absolutely love the huge navigation view that fills the screen. I wish I could do this in my Model Y. The Gauges section is also really cool, giving you real-time information like battery and motor temps. The Autonomy system works well, but it’s fairly limited in its current form. Think of it as advanced adaptive cruise control with lane keeping and the ability to change lanes on command. It can’t currently handle stop signs, traffic lights, or city driving. RJ has said an FSD (Supervised) like system is coming later this year, so we’ll see. The current R2s use Rivian’s older Gen 2 autonomy hardware. The next-generation Gen 3 hardware arrives next year and is expected to bring a significant increase in capability. It won’t be retrofittable to Gen 2 vehicles, though, so that’s something buyers should keep in mind. The second row has plenty of legroom and headroom. I was a little surprised that it doesn’t have acoustic windows, but it’s still pretty quiet back there. The full glass roof is nice and doesn’t make the cabin feel excessively hot. The interior lighting is VERY bright, which I love. It does a great job illuminating the entire cabin at night. Efficiency: I had the 20" all-terrain wheels, which are rated for 307 miles of range. Over my weeklong test, I averaged about 250–270 miles of range, or 12–19% below the stated range. During a 50-minute trip, with 85% highway and 15% non-highway driving and no crazy acceleration, I averaged 2.83 miles per kWh at an average speed of ~60 mph. That equates to 249 miles of range from a full charge to empty, despite being in Conserve mode. I had a few other trips with similar numbers. Will be interesting to see the what the winter range is like. If you're someone who doesn't go on long trips often or mostly stays in your area and charges at home, these efficiency numbers probably won't matter to you. Final thoughts: I won’t write out every thought here, you can check out my full review video below for that, but overall, the R2 is a great vehicle. It’s a very capable off-roader while still being a comfortable daily driver. The lack of an FSD-like system is a deal-breaker for me personally since I use FSD for virtually all of my miles. It's the most luxurious and mind-blowing vehicle feature on the market today, but that might not be a deal-breaker for other people, and that’s okay. The fact there there are good EVs available is great for consumers. Thanks again Rivian for letting me test the R2 for a week!

Sawyer Merritt

221,032 просмотров • 6 дней назад

Thought experiment for people regarding the concept of Absolute Time. Absolute means NO EXCEPTIONS. We are NOT looking back in time when we see galaxies and stars. We are NOT looking back in time 1.25 seconds when we see the moon. We're Not looking back in time 3 minutes when we see Mars. We're Not looking back in time 8.33 minutes when we see the Sun. If an astronaut lit a matchstick on Mars, the distant observer would see predator heat waves at the top of the matchstick in real-time while the matchstick started to blacken towards the astronaut's fingers. But there would be no orange light from that chemical reaction or flame seen. If the matchstick burnt out before the packet of orange light from that particular chemical reaction made it to Earth… then the distant observer would just see a disembodied orange flash of light with a lag. But the Earth-bound observer would never actually see the flame associated with the orange wavelength it put out. The wavelength of color emitted by the flame is not a recording of reality. If the orange light is 650 Thz, that means there are 650 trillion individual and separate bursts of orange light pulsating in 1 second. NOT that "the same light" is "waving" 650 trillion times a second and that light is a recording of reality. There are 650 trillion brand-new lights flashing in 1 second. Each Hertz is a brand-new emission and packet unto itself. Time does not re-emit 650 trillion times a second, nor is a photon a particle or a packet of reality acting like the frame of a reel of footage. The orange light that already left the flame will continue to propagate out until it meets the electrons making up the distant observer. But remember, it is never the same light within that packet. And the electrons making up the observer will absorb all of those different lights within that packet and re-emit brand-new lights that produce the product of illumination. A photon is a massless packet of energy, spherically expanding at the rate of c from the source it comes from. Illumination is the result of that energy being absorbed and RE-emitted by any other electrons that did not output that primary packet. But time is not associated with the same light. It's never the same light and time does not re-emit between packets. Time is not relative. Do NOT allow your mind Carte Blanche to think along the lines of relative time. DROP IT for this thought experiment. We are thinking along the lines of ABSOLUTE TIME/ Galilean VARIANCE. What does absolute time mean? It means time is constant in ALL frames of reference. Any frequency shifts between atomic clocks IS a literal change in the speed of light. But relativity forbids the speed of light from Ever changing, so relativity (Lorentz INVARIANCE) invented the concept of the 4th dimension and space-time. Because Relativity doesn't allow light speed to shift.. they interpret the same frequency shift between atomic clocks as being conclusive, irrefutable evidence that time and reality itself shifts. Rather than say it's just that ONE clock being affected by Earth's gravity and the oscillation of that ONE cesium clock is being altered compared to other clocks. People don't realize that in relativity... time dilation is SYMMETRICAL! Not even most relativists know their own theory. If Clock A and Clock B are synchronized and together... and then they accelerate apart... Einstein said Clock A would see Clock B as being slower itself. And Clock B would view Clock A as slower than ITself. NOT that only one observer would see back in time and the other would see forward or not at all. No... BOTH observers are supposed to see each other BACK in time relative to each other according to Einstein and the consequence of the math. It doesn't make ANY sense!! But relativists toss that part of time dilation under their 4th dimensional rug. The rug is woven from threads of gold that only the smart people can see apparently. So... here's a thought experiment/ Gedankenexperiment for absolute time. NO paradoxes... no nonsense or confusion. What do you see in a club? You see disco lights changing and a color wheel effect. You see everyone in REAL-TIME. Not just because they are so close to the lights. Light is not a recording of reality. Light is simply color. Illuminating reality in a certain color. Just because you can't see something yet or the color hasn't reached you doesn't mean it isn't happening in real-time. Zoom out and look at the people in the club through binoculars a mile away. You are still looking at them in real-time. The colors are shifting with a delay in the club. Now look at the club through a telescope from the surface of the moon. You're still looking at the people in real-time. But now there is a lag of the colors shifting by 1.25 seconds because it takes light 1.25 seconds to travel from the Earth to the moon. Now look at the club through an even bigger telescope from the surface of Mars. You're still looking at the people in real-time, but now there is a lag of the colors shifting by 3 minutes because it takes light 3 minutes to travel from Earth to Mars. fr you are a third hypothetical observer zoomed out and watching the person from Mars AND seeing the club on Earth... you're still seeing everything happening in real-time as well. But you see the colored wavepackets traveling with a delay to the observer on Mars. And the disco color wheel effect is just lagging before it affects the observer from Mars and the observer on the Moon. It doesn't matter how far you zoom out! There is only now to observe. But there WILL be a lag and delay for a given color/wavepacket to reach distant observers. But all points in space are already illuminated by other starlight. So if you're too far away... you'll just see the club in real-time but without any disco lights. Just see them in white light because that's the source already illuminating the scene. This is where it gets the most difficult because people think light itself is a recording of reality that replays a scene from where it came from. But another punch in the gut of relativity is that in order to see REFLECTED light... that would require a TWO-WAY transit. Which means the light would have to be sent out... record the scene of a distant event and then RETURN in order to REplay the event. Which means it would take 6 minutes to see the club from Mars by that logic and 2.5 seconds to see the club from the moon by that logic. The difference in tick rates between clocks has NOTHING to do with time dilation. Wait.. what?! How can that be? Because a clock itself doesn't represent all of time and reality. The difference between clocks is a "Transverse relative time shift." If the only light in the universe was from the lighter… the only way a distant observer would be able to see the astronaut on Mars is if the astronaut held down the button of the lighter for longer than 3 minutes. It takes 3 minutes for the packet of light to travel from Mars to Earth. The distant observer would never be able to see Mars, unless the light stretched from Mars all the way to Earth, and illuminated the path between Mars and Earth. And that would take 3 minutes for the boundary and first part of that wave packet to reach Earth. But if the distant observer wanted to observe Mars in real-time… then that packet of light would have to be on for longer than 3 minutes. So if the astronaut on Mars flicked the lighter at 12:00, the distant observer on Earth wouldn't see anything until 12:03. If the light was on for 3 minutes and 10 seconds, and the distant observer is 3 light minutes away... the distant observer would be able to see Mars in real-time for 10 seconds starting at 12:03. In the 20 second video clip of the rotating planet with shifting colors... just imagine you're a couple light minutes or light seconds away. You're still seeing the planet spin in real-time. But there is simply a delay of switching colors. You are Not looking back in time. It's just a color wheel effect from a great distance away. That's it!! There are many major flaws which tarnish people's critical thinking on this thought experiment. 1. Light does NOT ricochet or bounce. Electrons absorb, emit and re-emit ALL electromagnetic radiation. The electrons, making up the glass of a mirror will absorb the incoming light and re-emit a brand-new light as an equal and opposite reaction. NOT that "the same light" bounced off the mirror and continued on within the same frame of reference.  2. Light is NOT a recording of reality. 3. It is NOT the same light being observed from a source. It's never the same light. Each Hertz is a new light. Think of half of a sine wave as being its own emission. On an oscilloscope, a stimulus generates a peak which initiates an equal and opposite trough. Or vice versa. That repeating process is not "the same light." If you cut and paste that sine wave to another sine wave, the boundary between the waves will always be in phase. (thus refraction) 4. The speed of light is NOT the same in ALL frames of reference, no matter what. 5. Light is NOT made of particles and waves that flip back-and-forth. 6. Time is NOT connected to the speed of light. Time remains constant regardless if you accelerate towards or away from a clock. The clocks themselves will indeed be off! But that's an affect on the electrons making up the atomic clock affecting the oscillation of the isotope which is ASSUMED to ALWAYS be the same. So ANY difference in oscillation is treated as a literal distortion in space-time. 7. Space and time are not linked at all. That is a mathematical artifice under Lorentz invariance. Time is relative under Lorentz invariance. But time is absolute under Galilean VARIANCE. When people hear or see the word GALILEAN... their brains switch to auto pilot to "aether theory" and "classical physics." What people don't realize is that aether theory used Galilean INVARIANCE. Rather than space-time being used as an excuse to explain the difference in frequencies between atomic clocks... it was originally aether being used as an excuse to keep the speed of light the same. But None of those things are valid! We are thinking under the framework of Galilean VARIANCE! Completely new revolutionary model returning to Isaac Newton and Classical physics but without the corpuscular theory (particle) theory for light... without a particle-wave duality... without an aether... without a 4th dimension. Just good ol elementary math within 3D Euclidean space. Everything happening in real-time, right now. This reformulation of Galilean transformations was offered by Dr. Edward Dowdye in 1991 called The Extinction Shift Principle. Effectivity as opposed to Relativity. If light required a two-way transit, in order to travel out… Record an event, and travel back to replay the recording…  then it would take 6 minutes to see the astronaut on Mars instead of 3.  Remember… They say the SAME light is a recording, and must travel there and travel back in order to REplay. Relativity says time is relative: t' ≠ t time is NOT the same from all frames of reference) and t = tₒ / √1 - v²/c² but Galilean Variance says time is not relative: t' = t (Time IS the same from all frames of reference) and τ_tr = τₒ / √1 - v²/c² Relativity says c' = c (The velocity of light is the same from all frames of reference) but Galilean variance says c' ≠ c (The velocity of light is NOT the same from all frames of reference) and that c' = c ± v (The velocity of light in one frame of reference is dependent upon the velocity of the light source relative to an observer in another frame of reference. Whether that light source is approaching or receding away from that observer) Relativity says E = mc² (Energy and mass are universally equivalent and literally interchangeable under All conditions.) but Galilean variance says E = Δmc² = mₒc² (Energy changes in a system are the result from changes in mass. mₒ represents the original mass. Mass and energy do not literally interchange. There is an equivalence, not an interchange.) The Rebirth of Classical Physics: Time, Light & Gravity Star light and illumination: Flicking a Lighter on Mars visual example:
0:21

Thought experiment for people regarding the concept of Absolute Time. Absolute means NO EXCEPTIONS. We are NOT looking back in time when we see galaxies and stars. We are NOT looking back in time 1.25 seconds when we see the moon. We're Not looking back in time 3 minutes when we see Mars. We're Not looking back in time 8.33 minutes when we see the Sun. If an astronaut lit a matchstick on Mars, the distant observer would see predator heat waves at the top of the matchstick in real-time while the matchstick started to blacken towards the astronaut's fingers. But there would be no orange light from that chemical reaction or flame seen. If the matchstick burnt out before the packet of orange light from that particular chemical reaction made it to Earth… then the distant observer would just see a disembodied orange flash of light with a lag. But the Earth-bound observer would never actually see the flame associated with the orange wavelength it put out. The wavelength of color emitted by the flame is not a recording of reality. If the orange light is 650 Thz, that means there are 650 trillion individual and separate bursts of orange light pulsating in 1 second. NOT that "the same light" is "waving" 650 trillion times a second and that light is a recording of reality. There are 650 trillion brand-new lights flashing in 1 second. Each Hertz is a brand-new emission and packet unto itself. Time does not re-emit 650 trillion times a second, nor is a photon a particle or a packet of reality acting like the frame of a reel of footage. The orange light that already left the flame will continue to propagate out until it meets the electrons making up the distant observer. But remember, it is never the same light within that packet. And the electrons making up the observer will absorb all of those different lights within that packet and re-emit brand-new lights that produce the product of illumination. A photon is a massless packet of energy, spherically expanding at the rate of c from the source it comes from. Illumination is the result of that energy being absorbed and RE-emitted by any other electrons that did not output that primary packet. But time is not associated with the same light. It's never the same light and time does not re-emit between packets. Time is not relative. Do NOT allow your mind Carte Blanche to think along the lines of relative time. DROP IT for this thought experiment. We are thinking along the lines of ABSOLUTE TIME/ Galilean VARIANCE. What does absolute time mean? It means time is constant in ALL frames of reference. Any frequency shifts between atomic clocks IS a literal change in the speed of light. But relativity forbids the speed of light from Ever changing, so relativity (Lorentz INVARIANCE) invented the concept of the 4th dimension and space-time. Because Relativity doesn't allow light speed to shift.. they interpret the same frequency shift between atomic clocks as being conclusive, irrefutable evidence that time and reality itself shifts. Rather than say it's just that ONE clock being affected by Earth's gravity and the oscillation of that ONE cesium clock is being altered compared to other clocks. People don't realize that in relativity... time dilation is SYMMETRICAL! Not even most relativists know their own theory. If Clock A and Clock B are synchronized and together... and then they accelerate apart... Einstein said Clock A would see Clock B as being slower itself. And Clock B would view Clock A as slower than ITself. NOT that only one observer would see back in time and the other would see forward or not at all. No... BOTH observers are supposed to see each other BACK in time relative to each other according to Einstein and the consequence of the math. It doesn't make ANY sense!! But relativists toss that part of time dilation under their 4th dimensional rug. The rug is woven from threads of gold that only the smart people can see apparently. So... here's a thought experiment/ Gedankenexperiment for absolute time. NO paradoxes... no nonsense or confusion. What do you see in a club? You see disco lights changing and a color wheel effect. You see everyone in REAL-TIME. Not just because they are so close to the lights. Light is not a recording of reality. Light is simply color. Illuminating reality in a certain color. Just because you can't see something yet or the color hasn't reached you doesn't mean it isn't happening in real-time. Zoom out and look at the people in the club through binoculars a mile away. You are still looking at them in real-time. The colors are shifting with a delay in the club. Now look at the club through a telescope from the surface of the moon. You're still looking at the people in real-time. But now there is a lag of the colors shifting by 1.25 seconds because it takes light 1.25 seconds to travel from the Earth to the moon. Now look at the club through an even bigger telescope from the surface of Mars. You're still looking at the people in real-time, but now there is a lag of the colors shifting by 3 minutes because it takes light 3 minutes to travel from Earth to Mars. fr you are a third hypothetical observer zoomed out and watching the person from Mars AND seeing the club on Earth... you're still seeing everything happening in real-time as well. But you see the colored wavepackets traveling with a delay to the observer on Mars. And the disco color wheel effect is just lagging before it affects the observer from Mars and the observer on the Moon. It doesn't matter how far you zoom out! There is only now to observe. But there WILL be a lag and delay for a given color/wavepacket to reach distant observers. But all points in space are already illuminated by other starlight. So if you're too far away... you'll just see the club in real-time but without any disco lights. Just see them in white light because that's the source already illuminating the scene. This is where it gets the most difficult because people think light itself is a recording of reality that replays a scene from where it came from. But another punch in the gut of relativity is that in order to see REFLECTED light... that would require a TWO-WAY transit. Which means the light would have to be sent out... record the scene of a distant event and then RETURN in order to REplay the event. Which means it would take 6 minutes to see the club from Mars by that logic and 2.5 seconds to see the club from the moon by that logic. The difference in tick rates between clocks has NOTHING to do with time dilation. Wait.. what?! How can that be? Because a clock itself doesn't represent all of time and reality. The difference between clocks is a "Transverse relative time shift." If the only light in the universe was from the lighter… the only way a distant observer would be able to see the astronaut on Mars is if the astronaut held down the button of the lighter for longer than 3 minutes. It takes 3 minutes for the packet of light to travel from Mars to Earth. The distant observer would never be able to see Mars, unless the light stretched from Mars all the way to Earth, and illuminated the path between Mars and Earth. And that would take 3 minutes for the boundary and first part of that wave packet to reach Earth. But if the distant observer wanted to observe Mars in real-time… then that packet of light would have to be on for longer than 3 minutes. So if the astronaut on Mars flicked the lighter at 12:00, the distant observer on Earth wouldn't see anything until 12:03. If the light was on for 3 minutes and 10 seconds, and the distant observer is 3 light minutes away... the distant observer would be able to see Mars in real-time for 10 seconds starting at 12:03. In the 20 second video clip of the rotating planet with shifting colors... just imagine you're a couple light minutes or light seconds away. You're still seeing the planet spin in real-time. But there is simply a delay of switching colors. You are Not looking back in time. It's just a color wheel effect from a great distance away. That's it!! There are many major flaws which tarnish people's critical thinking on this thought experiment. 1. Light does NOT ricochet or bounce. Electrons absorb, emit and re-emit ALL electromagnetic radiation. The electrons, making up the glass of a mirror will absorb the incoming light and re-emit a brand-new light as an equal and opposite reaction. NOT that "the same light" bounced off the mirror and continued on within the same frame of reference.  2. Light is NOT a recording of reality. 3. It is NOT the same light being observed from a source. It's never the same light. Each Hertz is a new light. Think of half of a sine wave as being its own emission. On an oscilloscope, a stimulus generates a peak which initiates an equal and opposite trough. Or vice versa. That repeating process is not "the same light." If you cut and paste that sine wave to another sine wave, the boundary between the waves will always be in phase. (thus refraction) 4. The speed of light is NOT the same in ALL frames of reference, no matter what. 5. Light is NOT made of particles and waves that flip back-and-forth. 6. Time is NOT connected to the speed of light. Time remains constant regardless if you accelerate towards or away from a clock. The clocks themselves will indeed be off! But that's an affect on the electrons making up the atomic clock affecting the oscillation of the isotope which is ASSUMED to ALWAYS be the same. So ANY difference in oscillation is treated as a literal distortion in space-time. 7. Space and time are not linked at all. That is a mathematical artifice under Lorentz invariance. Time is relative under Lorentz invariance. But time is absolute under Galilean VARIANCE. When people hear or see the word GALILEAN... their brains switch to auto pilot to "aether theory" and "classical physics." What people don't realize is that aether theory used Galilean INVARIANCE. Rather than space-time being used as an excuse to explain the difference in frequencies between atomic clocks... it was originally aether being used as an excuse to keep the speed of light the same. But None of those things are valid! We are thinking under the framework of Galilean VARIANCE! Completely new revolutionary model returning to Isaac Newton and Classical physics but without the corpuscular theory (particle) theory for light... without a particle-wave duality... without an aether... without a 4th dimension. Just good ol elementary math within 3D Euclidean space. Everything happening in real-time, right now. This reformulation of Galilean transformations was offered by Dr. Edward Dowdye in 1991 called The Extinction Shift Principle. Effectivity as opposed to Relativity. If light required a two-way transit, in order to travel out… Record an event, and travel back to replay the recording…  then it would take 6 minutes to see the astronaut on Mars instead of 3.  Remember… They say the SAME light is a recording, and must travel there and travel back in order to REplay. Relativity says time is relative: t' ≠ t time is NOT the same from all frames of reference) and t = tₒ / √1 - v²/c² but Galilean Variance says time is not relative: t' = t (Time IS the same from all frames of reference) and τ_tr = τₒ / √1 - v²/c² Relativity says c' = c (The velocity of light is the same from all frames of reference) but Galilean variance says c' ≠ c (The velocity of light is NOT the same from all frames of reference) and that c' = c ± v (The velocity of light in one frame of reference is dependent upon the velocity of the light source relative to an observer in another frame of reference. Whether that light source is approaching or receding away from that observer) Relativity says E = mc² (Energy and mass are universally equivalent and literally interchangeable under All conditions.) but Galilean variance says E = Δmc² = mₒc² (Energy changes in a system are the result from changes in mass. mₒ represents the original mass. Mass and energy do not literally interchange. There is an equivalence, not an interchange.) The Rebirth of Classical Physics: Time, Light & Gravity Star light and illumination: Flicking a Lighter on Mars visual example:

TheRealVerbz (Jason Verbelli)

24,471 просмотров • 2 лет назад

I've been using FSD in my Tesla Model X for nearly a year. Here's the Good, the Bad and the Ugly on Tesla's FSD... The Good: - FSD is bar far, the most advanced driving technology I've ever experienced in any vehicle. - I use it every day, on every drive. Why? Because it reduces my driving work substantially. It keeps the car centered in the lane, keeps an appropriate following distance, stops for red lights and stop signs, turns where I need to turn and handles 99% of my driving tasks. - I think driving with FSD is FAR safer than driving without it because it reduces the "dumb" mistakes that drivers make that cause accidents. Mistakes like being distracted and missing the fact that the light is turning red or that the car in front of you just hit the breaks, or swerving out of your lane, or forgetting an exit or a turn and trying to make a heroic move to stay on course. All of these things are handled by FSD with grace and it likely is saving countless accidents. - Long drives and road trips are a pleasure with FSD because you are not fatigued with the many thousands of micro driving tasks, such as keeping the car centered in the lane or even worrying about where you're going. The car does all of that for you (and Navigate on Autopilot also does 95% of this for road trips). - When I use FSD, I have near-0 road rage, never speed up rapidly for no good reason and I am generally a more relaxed driver. The Bad: - Sometimes FSD has Schizophrenia, sees things that aren't there, slows for no reason, is indecisive on whether to go or stop which causes it to do extreme movements of the steering wheel, breaks and accelerator. In most of these circumstances, it's not unsafe, but as the driver sitting in the driver's seat, it is quite embarrassing, especially if you have passengers in the vehicle. - There are times when FSD makes a truly unsafe mistake, misses a red light (super rare) and tries to go when it should clearly stop, or slams on the break because it thinks a car might cross paths when the car was clearly not going to. In all these instances, it's super easy to take over and correct FSD's mistake. I don't even think twice about it...I quickly take over, correct the mistake, and put it back on FSD. The Ugly: - FSD is nearly useless in parking lots. It is surprisingly bad, especially since Elon Musk introduced the "Summon" feature long before FSD was released publicly. He said "just like humans, the AI also needs to learn driving by starting in the parking lot." 5 Years later, Summon still sucks and FSD has no idea how to drive in a parking lot. - Despite the many praises that a specific release often gets on Twitter, my personal experience has been that a new release could actually be worse than the previous version. For example, when my FSD upgraded from 10.69 to 11.3, it lost its ability to get in & out of HOV lanes on the freeway (I live in Scottsdale AZ). This simple loss of functionality (which returned with 11.4) caused numerous missed exits and route delays due to my over-reliance on FSD. - FSD makes some incredibly bad choices that are unexplainable, like certain lane changes, or last-second preparation to try and make a turn from 3 lanes away. These mistakes get better and worse with each release...it's a mixed bag as to what you're going to get with an update. - Your car's FSD never ever learns or improves by user input (not without an update). So it will make the exact same mistake in the exact same location, every, single, time. That can be super annoying. Conclusion: Despite the shortcomings, FSD is a technology marvel that I prefer not to live without. I don't see myself having a primary car that doesn't have Tesla-level FSD capabilities anytime in the future. Even the basic Autopilot features of Tesla are far superior to any other vehicle I've experienced. And despite what Elon says, the rate of improvement that I have experienced in the past year will not put it on a trajectory to be ready without a backup driver anytime in the next year or two. But with a backup driver, FSD is incredible, makes driving safer and I would highly recommend it to anyone!
0:21

I've been using FSD in my Tesla Model X for nearly a year. Here's the Good, the Bad and the Ugly on Tesla's FSD... The Good: - FSD is bar far, the most advanced driving technology I've ever experienced in any vehicle. - I use it every day, on every drive. Why? Because it reduces my driving work substantially. It keeps the car centered in the lane, keeps an appropriate following distance, stops for red lights and stop signs, turns where I need to turn and handles 99% of my driving tasks. - I think driving with FSD is FAR safer than driving without it because it reduces the "dumb" mistakes that drivers make that cause accidents. Mistakes like being distracted and missing the fact that the light is turning red or that the car in front of you just hit the breaks, or swerving out of your lane, or forgetting an exit or a turn and trying to make a heroic move to stay on course. All of these things are handled by FSD with grace and it likely is saving countless accidents. - Long drives and road trips are a pleasure with FSD because you are not fatigued with the many thousands of micro driving tasks, such as keeping the car centered in the lane or even worrying about where you're going. The car does all of that for you (and Navigate on Autopilot also does 95% of this for road trips). - When I use FSD, I have near-0 road rage, never speed up rapidly for no good reason and I am generally a more relaxed driver. The Bad: - Sometimes FSD has Schizophrenia, sees things that aren't there, slows for no reason, is indecisive on whether to go or stop which causes it to do extreme movements of the steering wheel, breaks and accelerator. In most of these circumstances, it's not unsafe, but as the driver sitting in the driver's seat, it is quite embarrassing, especially if you have passengers in the vehicle. - There are times when FSD makes a truly unsafe mistake, misses a red light (super rare) and tries to go when it should clearly stop, or slams on the break because it thinks a car might cross paths when the car was clearly not going to. In all these instances, it's super easy to take over and correct FSD's mistake. I don't even think twice about it...I quickly take over, correct the mistake, and put it back on FSD. The Ugly: - FSD is nearly useless in parking lots. It is surprisingly bad, especially since Elon Musk introduced the "Summon" feature long before FSD was released publicly. He said "just like humans, the AI also needs to learn driving by starting in the parking lot." 5 Years later, Summon still sucks and FSD has no idea how to drive in a parking lot. - Despite the many praises that a specific release often gets on Twitter, my personal experience has been that a new release could actually be worse than the previous version. For example, when my FSD upgraded from 10.69 to 11.3, it lost its ability to get in & out of HOV lanes on the freeway (I live in Scottsdale AZ). This simple loss of functionality (which returned with 11.4) caused numerous missed exits and route delays due to my over-reliance on FSD. - FSD makes some incredibly bad choices that are unexplainable, like certain lane changes, or last-second preparation to try and make a turn from 3 lanes away. These mistakes get better and worse with each release...it's a mixed bag as to what you're going to get with an update. - Your car's FSD never ever learns or improves by user input (not without an update). So it will make the exact same mistake in the exact same location, every, single, time. That can be super annoying. Conclusion: Despite the shortcomings, FSD is a technology marvel that I prefer not to live without. I don't see myself having a primary car that doesn't have Tesla-level FSD capabilities anytime in the future. Even the basic Autopilot features of Tesla are far superior to any other vehicle I've experienced. And despite what Elon says, the rate of improvement that I have experienced in the past year will not put it on a trajectory to be ready without a backup driver anytime in the next year or two. But with a backup driver, FSD is incredible, makes driving safer and I would highly recommend it to anyone!

Hamid

1,529,073 просмотров • 3 лет назад

After regrouping with our investors and the team, I’ve made the difficult decision to wind down Hike completely. Our US business, launched just nine months ago, is off to a strong start. But scaling globally would require a full recap, a reset that is not the best use of capital or time. The Big Question → We could raise the capital, but the real question is: is it worth it? Is this a climb worth pivoting for? For the first time in 13 years, my answer is no. Not for me, not for my team, and not for our investors. Why? 1. RMG was never the destination. It was a way to test unit economics and traction in India while working toward a bigger vision. In hindsight, starting in India locked us into the model and regulatory headwinds, turning a temporary path into a more permanent one. 2. The Gaming Nation vision is real, but we may be too early. The world will eventually move toward a Nation-type model in gaming and Web3 - Company 2.0. But crypto regulation is still developing globally, and we don’t want to repeat India, where we hoped for clarity that never came. 3. And most importantly, if doing a full reset, is this where I’d put my own capital and energy today? For the first time, the answer is no. The world has changed in the last decade - and so have I. There are more important problems to solve and bigger opportunities to deploy brilliant talent and capital. Looking Back & Lessons The last 13 years have been immense. Hike Messenger reached 40M MAUs and became the 35th most loved consumer brand in India at its peak. With Rush, we built a brand new kind of Casual PvP gaming platform and scaled it to 10M users and $500M+ in gross revenue in just 4 years. Our execution was super, but we could never quite make it stick. There are clear lessons to carry forward, especially on market selection: 1. Be careful with winner-take-all markets. To win, you need to go global. 2. Don’t build for today’s tech constraints. Build on the spring/summer of new technologies. 3. Regulatory clarity matters. Risk is fine; uncertainty is not. More importantly momentum is everything. And build what your heart and mind are deeply excited about. It’s the conviction that carries you through. This is both a disappointment and a hard outcome. But I choose to look on the bright side: the learnings are invaluable, and my conviction for what’s next is even stronger. To everyone who has been part of this journey - our users, our team, our investors, and our community - thank you. As a CEO, you’re only as strong as your team, and I want to give a special shout-out to mine - an incredible group of people who gave this everything. Hike This chapter ends, but the climb continues. Looking Forward I’ve always thrived at building at the forefront of technology. Over the last decade, in the little time I had to explore outside of Hike, I kept returning to the same three frontiers. And now, they feel like the great canvases for decades to come → 1. AI → For the first time, technology has both intelligence and memory. Imagine products that don’t just serve us functionally but truly know us - systems that adapt, grow, and partner with us. As a UX-first builder, this is the most exciting time to be building software. 2. Breakthroughs in Energy → Human progress has always been bound by energy. The world’s demand for energy is rising faster than ever. Breakthrough approaches, especially in physics are needed to power the future. The last century gave us mastery of fine matters and electricity, the next will move deeper, at the intersection of science and spirituality - into what yogis call divine magnetism and physicists call the quantum world or electromagnetism. From there will come technologies that today feel impossible to imagine. 3. Mastery of the Self → As AI takes on more of our work, a deeper question will rise: what now defines us? When productivity is no longer the measure of worth, humanity will turn inward. Man’s evolution will move from the intellect to intuitive attunement - a deeper connection with ourselves and the divine (which we’ll realise are one and the same). The tools, spaces, and guides that help us explore this inner world will be as transformative as any innovation in the outer one - unlocking the next level of humanity’s potential. If you put these together, a picture emerges: → the cost of intelligence trending to zero → the cost of energy trending to zero → and the cost of willpower falling lower and lower. Just imagine a future where willpower is infinite, energy is abundant, and intelligence is at our fingertips. This is the future I will help build — and it’s where I’ll be contributing in the decades to come. This new chapter will look very different from the last one 🚀 Video for perspective. Full substack post link below.
0:40

After regrouping with our investors and the team, I’ve made the difficult decision to wind down Hike completely. Our US business, launched just nine months ago, is off to a strong start. But scaling globally would require a full recap, a reset that is not the best use of capital or time. The Big Question → We could raise the capital, but the real question is: is it worth it? Is this a climb worth pivoting for? For the first time in 13 years, my answer is no. Not for me, not for my team, and not for our investors. Why? 1. RMG was never the destination. It was a way to test unit economics and traction in India while working toward a bigger vision. In hindsight, starting in India locked us into the model and regulatory headwinds, turning a temporary path into a more permanent one. 2. The Gaming Nation vision is real, but we may be too early. The world will eventually move toward a Nation-type model in gaming and Web3 - Company 2.0. But crypto regulation is still developing globally, and we don’t want to repeat India, where we hoped for clarity that never came. 3. And most importantly, if doing a full reset, is this where I’d put my own capital and energy today? For the first time, the answer is no. The world has changed in the last decade - and so have I. There are more important problems to solve and bigger opportunities to deploy brilliant talent and capital. Looking Back & Lessons The last 13 years have been immense. Hike Messenger reached 40M MAUs and became the 35th most loved consumer brand in India at its peak. With Rush, we built a brand new kind of Casual PvP gaming platform and scaled it to 10M users and $500M+ in gross revenue in just 4 years. Our execution was super, but we could never quite make it stick. There are clear lessons to carry forward, especially on market selection: 1. Be careful with winner-take-all markets. To win, you need to go global. 2. Don’t build for today’s tech constraints. Build on the spring/summer of new technologies. 3. Regulatory clarity matters. Risk is fine; uncertainty is not. More importantly momentum is everything. And build what your heart and mind are deeply excited about. It’s the conviction that carries you through. This is both a disappointment and a hard outcome. But I choose to look on the bright side: the learnings are invaluable, and my conviction for what’s next is even stronger. To everyone who has been part of this journey - our users, our team, our investors, and our community - thank you. As a CEO, you’re only as strong as your team, and I want to give a special shout-out to mine - an incredible group of people who gave this everything. Hike This chapter ends, but the climb continues. Looking Forward I’ve always thrived at building at the forefront of technology. Over the last decade, in the little time I had to explore outside of Hike, I kept returning to the same three frontiers. And now, they feel like the great canvases for decades to come → 1. AI → For the first time, technology has both intelligence and memory. Imagine products that don’t just serve us functionally but truly know us - systems that adapt, grow, and partner with us. As a UX-first builder, this is the most exciting time to be building software. 2. Breakthroughs in Energy → Human progress has always been bound by energy. The world’s demand for energy is rising faster than ever. Breakthrough approaches, especially in physics are needed to power the future. The last century gave us mastery of fine matters and electricity, the next will move deeper, at the intersection of science and spirituality - into what yogis call divine magnetism and physicists call the quantum world or electromagnetism. From there will come technologies that today feel impossible to imagine. 3. Mastery of the Self → As AI takes on more of our work, a deeper question will rise: what now defines us? When productivity is no longer the measure of worth, humanity will turn inward. Man’s evolution will move from the intellect to intuitive attunement - a deeper connection with ourselves and the divine (which we’ll realise are one and the same). The tools, spaces, and guides that help us explore this inner world will be as transformative as any innovation in the outer one - unlocking the next level of humanity’s potential. If you put these together, a picture emerges: → the cost of intelligence trending to zero → the cost of energy trending to zero → and the cost of willpower falling lower and lower. Just imagine a future where willpower is infinite, energy is abundant, and intelligence is at our fingertips. This is the future I will help build — and it’s where I’ll be contributing in the decades to come. This new chapter will look very different from the last one 🚀 Video for perspective. Full substack post link below.

Kavin

24,481 просмотров • 1 год назад

Y Combinator CEO, Garry Tan, took the stage for 42 minutes at Startup School 2026 and explained how to build your own personal AGI better than any paid AI course. This is what he told the room: 1. The leverage is in your context, not the model. Tan watches hundreds of founders use identical models every batch. "There are 2x people and there are 100x people who are using the same Claude. Same weights, same context window size, same API. But the leverage is not in the weights." The gap between users is now bigger than the gap between models. 2. One person's output went up 400x. In 2013 Tan shipped maybe 14 useful lines of code a day as a YC partner, dead on the median for programmer productivity. "I did the math on my output, and I'm at about 400x what I did in 2013." 3. Agents run on a different working memory. Humans hold 7 things in their head at once. Every org chart and checklist ever built is a patch for that limit. "An AI agent holds a million tokens. That's about a thousand pages. Three Harry Potter books sitting open on its head all at once." You're still running your week on tools built for the 7-digit brain. 4. Markdown is code now. Tan's stack is mostly skill files: pages of plain English an agent can execute. "If you can write clear instructions in English, you're a programmer. The compiler is a language model." At YC, finance and events staff who never opened a terminal are building automations. 5. Your history is your moat. Tan's agent runs on a personal wiki: about 220,000 markdown pages covering 25 years of email, meetings, notes and decisions. "When my agent does anything, it does knowing everything I know. And that's the difference between an assistant and a colleague." No frontier model has your context. That's the one asset nobody can replicate. 6. Never do one-off work. Most people run a task with an agent, close the window and throw the learning away. Tan ends every task by having the agent turn what it did into a reusable skill file. "If you have to ask for something twice, you failed." Captured skills compound daily. Amnesia resets you to zero every morning. 7. Own your skill files before your employer does. A skill file is your judgment, extracted and executable. The only question is who controls it. "Own your skills because if you don't, your job becomes a skill file." Files in your repo compound your career. Files in the company's repo run your judgment without you. Watch it, then read the step-by-step guide on becoming an AI engineer.
42:07

Y Combinator CEO, Garry Tan, took the stage for 42 minutes at Startup School 2026 and explained how to build your own personal AGI better than any paid AI course. This is what he told the room: 1. The leverage is in your context, not the model. Tan watches hundreds of founders use identical models every batch. "There are 2x people and there are 100x people who are using the same Claude. Same weights, same context window size, same API. But the leverage is not in the weights." The gap between users is now bigger than the gap between models. 2. One person's output went up 400x. In 2013 Tan shipped maybe 14 useful lines of code a day as a YC partner, dead on the median for programmer productivity. "I did the math on my output, and I'm at about 400x what I did in 2013." 3. Agents run on a different working memory. Humans hold 7 things in their head at once. Every org chart and checklist ever built is a patch for that limit. "An AI agent holds a million tokens. That's about a thousand pages. Three Harry Potter books sitting open on its head all at once." You're still running your week on tools built for the 7-digit brain. 4. Markdown is code now. Tan's stack is mostly skill files: pages of plain English an agent can execute. "If you can write clear instructions in English, you're a programmer. The compiler is a language model." At YC, finance and events staff who never opened a terminal are building automations. 5. Your history is your moat. Tan's agent runs on a personal wiki: about 220,000 markdown pages covering 25 years of email, meetings, notes and decisions. "When my agent does anything, it does knowing everything I know. And that's the difference between an assistant and a colleague." No frontier model has your context. That's the one asset nobody can replicate. 6. Never do one-off work. Most people run a task with an agent, close the window and throw the learning away. Tan ends every task by having the agent turn what it did into a reusable skill file. "If you have to ask for something twice, you failed." Captured skills compound daily. Amnesia resets you to zero every morning. 7. Own your skill files before your employer does. A skill file is your judgment, extracted and executable. The only question is who controls it. "Own your skills because if you don't, your job becomes a skill file." Files in your repo compound your career. Files in the company's repo run your judgment without you. Watch it, then read the step-by-step guide on becoming an AI engineer.

Alex Prompter

249,828 просмотров • 1 месяц назад

A FITNESS INSTRUCTOR FROM DUBAI NAMED KIRA FILLS A 200-PERSON CLASS EVERY NIGHT AT $45 A HEAD BY MAKING HER WORKOUTS LOOK LIKE SOMETHING THAT WOULD GET BANNED ON EVERY OTHER PAGE. Thread. Here's the format that fitness influencers have been trying to crack for years and one girl in Dubai solved it by turning off the lights. A dark studio. Red and orange lighting. Neon workout sets. 200 women on orange mats doing hip thrusts in sync. The camera sits at floor level and drifts along the row. This is a workout class. It looks like the opening scene of a movie you'd watch with the door locked. Here's what Kira understood. Nobody shares a workout video because the exercise is effective. People share workout videos because of how the exercise looks. Hip thrusts are the single most effective glute exercise in strength training. They're also the single most suggestive movement a human body can make in a gym setting. She didn't invent the exercise. She invented the way you film it. Floor level, dark room, neon fabric, red light. Same exercise in a Planet Fitness under fluorescent bulbs gets 3,000 views. Same exercise in her studio gets 18 million. The neon is doing business nobody talks about. Hot pink, electric green, purple, white. Every color pops against the dark studio and the orange mats. The algorithm reads bright colors on dark backgrounds as high-contrast content and pushes it harder. But here's the real play: the neon colors are her merchandise. Every set you see in the video is available on her site. She doesn't tag the product, doesn't show a price, doesn't mention the store. The comments do it for her. "Where is the pink set from." "Link for the white leggings." Forty thousand free product inquiries per video and she never ran an ad. The class sells out 3 weeks in advance. Not because the programming is unique. The exercises are standard. Hip thrusts, bridges, glute kickbacks. You can find them in any trainer's plan. The class sells out because every person in the room knows they'll be in the video. 200 women pay $45 each to be background extras in a clip that will do 10 million views. They're not paying for the workout. They're paying for the content. They show up in neon, film themselves from their mat, post their own angle, tag the studio. 200 personal accounts all posting the same class on the same night. The reach multiplies by 200 every session and Kira doesn't post a single one of those. The camera angle is the moat. Any trainer can darken a room and buy colored lights. But the floor-level camera that drifts along a row of bodies mid-thrust is what makes this unflagable pornography for the fitness feed. It's a workout. Everyone is clothed. The exercise is in every textbook. But 200 women thrusting upward in neon under red light filmed from the floor doesn't read as fitness. It reads as something your brain has no clean category for. And content without a category gets watched longer because your brain is still trying to file it. She turned a gym into a nightclub, a nightclub into a content studio, and a content studio into a merch store. The class is the content. The content is the ad. The ad is the class. The loop never opens and the $45 is just the entry fee to a machine that prints views, sells leggings, and fills the next class with people who saw the last one. The lights are off but the business has never been more visible.
0:42

A FITNESS INSTRUCTOR FROM DUBAI NAMED KIRA FILLS A 200-PERSON CLASS EVERY NIGHT AT $45 A HEAD BY MAKING HER WORKOUTS LOOK LIKE SOMETHING THAT WOULD GET BANNED ON EVERY OTHER PAGE. Thread. Here's the format that fitness influencers have been trying to crack for years and one girl in Dubai solved it by turning off the lights. A dark studio. Red and orange lighting. Neon workout sets. 200 women on orange mats doing hip thrusts in sync. The camera sits at floor level and drifts along the row. This is a workout class. It looks like the opening scene of a movie you'd watch with the door locked. Here's what Kira understood. Nobody shares a workout video because the exercise is effective. People share workout videos because of how the exercise looks. Hip thrusts are the single most effective glute exercise in strength training. They're also the single most suggestive movement a human body can make in a gym setting. She didn't invent the exercise. She invented the way you film it. Floor level, dark room, neon fabric, red light. Same exercise in a Planet Fitness under fluorescent bulbs gets 3,000 views. Same exercise in her studio gets 18 million. The neon is doing business nobody talks about. Hot pink, electric green, purple, white. Every color pops against the dark studio and the orange mats. The algorithm reads bright colors on dark backgrounds as high-contrast content and pushes it harder. But here's the real play: the neon colors are her merchandise. Every set you see in the video is available on her site. She doesn't tag the product, doesn't show a price, doesn't mention the store. The comments do it for her. "Where is the pink set from." "Link for the white leggings." Forty thousand free product inquiries per video and she never ran an ad. The class sells out 3 weeks in advance. Not because the programming is unique. The exercises are standard. Hip thrusts, bridges, glute kickbacks. You can find them in any trainer's plan. The class sells out because every person in the room knows they'll be in the video. 200 women pay $45 each to be background extras in a clip that will do 10 million views. They're not paying for the workout. They're paying for the content. They show up in neon, film themselves from their mat, post their own angle, tag the studio. 200 personal accounts all posting the same class on the same night. The reach multiplies by 200 every session and Kira doesn't post a single one of those. The camera angle is the moat. Any trainer can darken a room and buy colored lights. But the floor-level camera that drifts along a row of bodies mid-thrust is what makes this unflagable pornography for the fitness feed. It's a workout. Everyone is clothed. The exercise is in every textbook. But 200 women thrusting upward in neon under red light filmed from the floor doesn't read as fitness. It reads as something your brain has no clean category for. And content without a category gets watched longer because your brain is still trying to file it. She turned a gym into a nightclub, a nightclub into a content studio, and a content studio into a merch store. The class is the content. The content is the ad. The ad is the class. The loop never opens and the $45 is just the entry fee to a machine that prints views, sells leggings, and fills the next class with people who saw the last one. The lights are off but the business has never been more visible.

Promt Lab Dialy

958,557 просмотров • 26 дней назад

Okay, everyone is talking about AI video models right now, but honestly, most of the “comparisons” out there aren’t real comparisons at all. One video uses a different prompt. Someone tweaks the settings. Someone edits out the bad parts. And then people just decide which model is better? That never sat right with me. So I tested HappyHorse 1.1 and Kling 3.0 the same way I’d test any tool I was seriously considering for my work: the same prompt, the same reference images, the same duration, and no edits to hide the flaws. I wasn’t trying to prove that one model is better across the board. I simply wanted to see how each would handle the exact same challenge. 1. Lip-sync & speech This one's easy to judge honestly. You don't need to go frame by frame, just watch both videos side by side. Does the mouth actually match the words? Does the timing feel off or natural? Do the expressions hold up when the camera's in close? Small detail, but it tells you a lot fast. 2. Character & scene consistency This is where it gets interesting. Making one good-looking shot isn't hard anymore, keeping that same character looking like themselves across a bunch of shots is the real test. I used the same multi-angle reference set for both models and watched how they handled scene changes: face, clothes, props, where the character's standing, all of it. HappyHorse 1.1 was just noticeably more consistent here. One moment that stood out: in a crash scene where the character ends up injured on the ground, the difference isn't obvious at first glance, you really have to look closely. But HappyHorse kept him reacting, hand raised, blood visible, expression still "alive," like he was actually processing what just happened. Kling 3.0 showed him lying still, with no visible movement or reaction in that same moment. It's subtle, but it's a real example of logic and consistency holding up frame to frame, not just shot to shot. 3. Complex motion No cutting corners on this one, I wanted continuous movement. Sports, dancing, fast action, stuff that really shows whether a model understands weight, momentum, balance, how a body recovers after moving. These are the shots that expose problems you'd never catch in something static. Watching both side by side, continuously, tells you way more than any writeup could. 4. Camera control Both models got the same timestamped storyboard and the same camera directions. Then I just watched to see if they actually followed it. Here's a good example: push in, orbit around, crane up, then pull out. One continuous move. Watch closely and you'll see exactly where one model loses track of the subject or the motion gets weird, while the other stays right where it's supposed to be the whole time. That's basically the difference between a shot you keep and one you have to regenerate for the fifth time. 5. Price & workflow Price only means anything if you're comparing like for like, same output, same duration, same quality and resolution, same number of generations. But honestly I think the better question isn't "which one's cheaper," it's which one gets you more usable footage for the same money. For me that's not just about credits either, it's about how many tries it takes before I get something I actually want to keep. Where this actually matters: ads and e-commerce This is the stuff that made the biggest difference for me. When you're making product shots or ad content, you need a model that just does what you tell it, not one you have to wrestle with. HappyHorse 1.1 strictly executes your planned frames, you're setting the exact lens, the subject position, the camera's job, shot by shot. For ad work that means way fewer regenerations and getting from storyboard to finished cut a lot faster. Proof over opinions Here's what I kept coming back to. Saying "the motion's better" or "the camera control's better" doesn't really mean anything unless people can see it for themselves. That's why I think comparisons need continuous split-screen playback, identical prompts, clear labels, visible transitions, matching settings, and an honest breakdown of cost. Just let the footage speak, people can usually tell within a few seconds anyway. What I actually took away from this Both models have real strengths, I'm not saying one does everything better. But for the kind of work I do, including ad and e-commerce stuff, HappyHorse 1.1 just needed fewer compromises from me. Less regenerating shots, less fighting continuity issues, less trying to wrangle the camera back on track. Doesn't mean Kling 3.0 is bad, it's a solid model. It just means HappyHorse 1.1 got me to something production-ready faster, with less wasted time. And at the end of the day that's the thing I actually care about. p.s. links to try HappyHorse 1.1 and the community Discord are in the first reply below.
0:30

Okay, everyone is talking about AI video models right now, but honestly, most of the “comparisons” out there aren’t real comparisons at all. One video uses a different prompt. Someone tweaks the settings. Someone edits out the bad parts. And then people just decide which model is better? That never sat right with me. So I tested HappyHorse 1.1 and Kling 3.0 the same way I’d test any tool I was seriously considering for my work: the same prompt, the same reference images, the same duration, and no edits to hide the flaws. I wasn’t trying to prove that one model is better across the board. I simply wanted to see how each would handle the exact same challenge. 1. Lip-sync & speech This one's easy to judge honestly. You don't need to go frame by frame, just watch both videos side by side. Does the mouth actually match the words? Does the timing feel off or natural? Do the expressions hold up when the camera's in close? Small detail, but it tells you a lot fast. 2. Character & scene consistency This is where it gets interesting. Making one good-looking shot isn't hard anymore, keeping that same character looking like themselves across a bunch of shots is the real test. I used the same multi-angle reference set for both models and watched how they handled scene changes: face, clothes, props, where the character's standing, all of it. HappyHorse 1.1 was just noticeably more consistent here. One moment that stood out: in a crash scene where the character ends up injured on the ground, the difference isn't obvious at first glance, you really have to look closely. But HappyHorse kept him reacting, hand raised, blood visible, expression still "alive," like he was actually processing what just happened. Kling 3.0 showed him lying still, with no visible movement or reaction in that same moment. It's subtle, but it's a real example of logic and consistency holding up frame to frame, not just shot to shot. 3. Complex motion No cutting corners on this one, I wanted continuous movement. Sports, dancing, fast action, stuff that really shows whether a model understands weight, momentum, balance, how a body recovers after moving. These are the shots that expose problems you'd never catch in something static. Watching both side by side, continuously, tells you way more than any writeup could. 4. Camera control Both models got the same timestamped storyboard and the same camera directions. Then I just watched to see if they actually followed it. Here's a good example: push in, orbit around, crane up, then pull out. One continuous move. Watch closely and you'll see exactly where one model loses track of the subject or the motion gets weird, while the other stays right where it's supposed to be the whole time. That's basically the difference between a shot you keep and one you have to regenerate for the fifth time. 5. Price & workflow Price only means anything if you're comparing like for like, same output, same duration, same quality and resolution, same number of generations. But honestly I think the better question isn't "which one's cheaper," it's which one gets you more usable footage for the same money. For me that's not just about credits either, it's about how many tries it takes before I get something I actually want to keep. Where this actually matters: ads and e-commerce This is the stuff that made the biggest difference for me. When you're making product shots or ad content, you need a model that just does what you tell it, not one you have to wrestle with. HappyHorse 1.1 strictly executes your planned frames, you're setting the exact lens, the subject position, the camera's job, shot by shot. For ad work that means way fewer regenerations and getting from storyboard to finished cut a lot faster. Proof over opinions Here's what I kept coming back to. Saying "the motion's better" or "the camera control's better" doesn't really mean anything unless people can see it for themselves. That's why I think comparisons need continuous split-screen playback, identical prompts, clear labels, visible transitions, matching settings, and an honest breakdown of cost. Just let the footage speak, people can usually tell within a few seconds anyway. What I actually took away from this Both models have real strengths, I'm not saying one does everything better. But for the kind of work I do, including ad and e-commerce stuff, HappyHorse 1.1 just needed fewer compromises from me. Less regenerating shots, less fighting continuity issues, less trying to wrangle the camera back on track. Doesn't mean Kling 3.0 is bad, it's a solid model. It just means HappyHorse 1.1 got me to something production-ready faster, with less wasted time. And at the end of the day that's the thing I actually care about. p.s. links to try HappyHorse 1.1 and the community Discord are in the first reply below.

Chubby♨️

19,569 просмотров • 23 дней назад

The disgustingly simple framework behind my best performing thumbnails (1.7M, 1M views) This is the exact method I used for thumbnails on my best performing videos I call it the "analyze-recreate" method: 1. Search YouTube for your video title 2. Find the top performing video 3. Copy their thumbnail image 4. Send it to Claude/GPT with this prompt (steal this): ---- You are a YouTube thumbnail visual analysis expert. Analyze only what is visible in the provided thumbnail. Do not infer identities, brands, context, or any off-frame elements. Output must be plaintext and under 1800 characters. Keep it concise and directly usable for recreating a similar image. Important: Do NOT reference, describe, paraphrase, or characterize any text, typography, logos, watermarks, UI, arrows, icons, or other graphic design overlays. Focus only on the underlying photographic/illustrative scene and its composition. Cover exactly these sections: 1. Overall Style: mood, tone, realism level, and artistic approach (photo, 3D, illustration, composite). 2. Color Palette: 2–3 dominant colors and where they appear (brief; no hex). 3. Composition: camera angle/shot type (close/medium/wide), depth (foreground/mid/background), focal point, balance, and approximate % of frame occupied by each main scene element. 4. Main Subjects: describe visible characters/objects only, pose/expression, size relative to frame, and key environment/background elements. 5. Lighting & Post: lighting type and direction, shadow softness, contrast, depth of field, and noticeable post-processing (very short). 6. AI Prompt Suggestion: a compact generation prompt describing the scene + composition + mood + rendering style; do not list colors; do not include any text/logo/overlay instructions. Write the analysis now: ---- Paste the output into an AI image generator (Nano Banana, etc.) Add your text/graphics manually - I use autotube's built-in thumbnail designer which makes this easy The key is: you're recreating the image from scratch, not stealing. You're analyzing what works and building your own version - while avoiding copyright issues It might take 5-10 generations to nail it. Different AI models handle different styles better, so experiment YouTube is a game of copy/paste, so stick to what has been proven to work by your competitors instead of reinventing the wheel Shout out to the channels BEFORE CITIES, Woke up History, Sleepless Homo, Ancestor Vault among others, who were a big inspiration for this channel The above method was the one I used most of the time for Sleepy Time History, but recently I switched to something crazier: fully AI driven thumbnail generation. AI creates 5 thumbnails based on a "thumbnail design language" based on your channel's 15 best thumbnails So far so good, but this is more experimental, and mostly to save time while I focus on new channels I built autotube to automate the entire YouTube workflow: thumbnails, scripts, rendering, everything. Works well for sleep channels and other ai image/video slideshows. We're gradually opening up access. Link in bio
0:25

The disgustingly simple framework behind my best performing thumbnails (1.7M, 1M views) This is the exact method I used for thumbnails on my best performing videos I call it the "analyze-recreate" method: 1. Search YouTube for your video title 2. Find the top performing video 3. Copy their thumbnail image 4. Send it to Claude/GPT with this prompt (steal this): ---- You are a YouTube thumbnail visual analysis expert. Analyze only what is visible in the provided thumbnail. Do not infer identities, brands, context, or any off-frame elements. Output must be plaintext and under 1800 characters. Keep it concise and directly usable for recreating a similar image. Important: Do NOT reference, describe, paraphrase, or characterize any text, typography, logos, watermarks, UI, arrows, icons, or other graphic design overlays. Focus only on the underlying photographic/illustrative scene and its composition. Cover exactly these sections: 1. Overall Style: mood, tone, realism level, and artistic approach (photo, 3D, illustration, composite). 2. Color Palette: 2–3 dominant colors and where they appear (brief; no hex). 3. Composition: camera angle/shot type (close/medium/wide), depth (foreground/mid/background), focal point, balance, and approximate % of frame occupied by each main scene element. 4. Main Subjects: describe visible characters/objects only, pose/expression, size relative to frame, and key environment/background elements. 5. Lighting & Post: lighting type and direction, shadow softness, contrast, depth of field, and noticeable post-processing (very short). 6. AI Prompt Suggestion: a compact generation prompt describing the scene + composition + mood + rendering style; do not list colors; do not include any text/logo/overlay instructions. Write the analysis now: ---- Paste the output into an AI image generator (Nano Banana, etc.) Add your text/graphics manually - I use autotube's built-in thumbnail designer which makes this easy The key is: you're recreating the image from scratch, not stealing. You're analyzing what works and building your own version - while avoiding copyright issues It might take 5-10 generations to nail it. Different AI models handle different styles better, so experiment YouTube is a game of copy/paste, so stick to what has been proven to work by your competitors instead of reinventing the wheel Shout out to the channels BEFORE CITIES, Woke up History, Sleepless Homo, Ancestor Vault among others, who were a big inspiration for this channel The above method was the one I used most of the time for Sleepy Time History, but recently I switched to something crazier: fully AI driven thumbnail generation. AI creates 5 thumbnails based on a "thumbnail design language" based on your channel's 15 best thumbnails So far so good, but this is more experimental, and mostly to save time while I focus on new channels I built autotube to automate the entire YouTube workflow: thumbnails, scripts, rendering, everything. Works well for sleep channels and other ai image/video slideshows. We're gradually opening up access. Link in bio

facelessjourney | YTA & SaaS

13,284 просмотров • 6 месяцев назад