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Weekend #pornChallenge 🚨 How long should I stroke to this vid on loop till Monday, no cummie allowed? 🥵 Likes/Reposts add +1/+2 minutes each 😈 #humiliation #submission #edging #pussyfree #fistfucker #pornaddict #gooner #goonette #wank #jerk #goon

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🎀pornagotchi🎀

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126,270 次观看 • 1 年前 •via X (Twitter)

NSFW#pornChallenge#humiliation#submission#edging#pussyfree#fistfucker#pornaddict#gooner#goonette#wank#jerk#goon
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HIGH PROTEIN + HEALTHY 🥜🍫CHOCOLATE PEANUT BUTTER LAVA CAKE You won’t believe this healthy dessert is high-protein with 50g protein, super lowcarb, and completely flourless! It makes two giant servings at 215 cals and 25g protein each and it’s SO good. Healthy desserts like this have been the game changer in keeping me on track during my 150lb weight loss journey - this is my fav one, and so good if you love chocolate and have a sweet tooth. Can you taste the cottage cheese? NO! Here is how I made it: Ingredients: 2 servings blended cottage cheese (about half a 16oz tub) 2 large eggs 3-4 tbsp powdered monkfruit (or sweetener of choice) 2.5-3 tbsp cacao powder (I use 3.5 tbsp for a richer taste) Splash of vanilla extract Optional: a sprinkle of chocolate chips Optional: Powdered Peanut butter and 1 tbsp crushed peanuts for the frosting 1️⃣ Process or blend 8oz cottage cheese in a small food processor until smooth and transfer to an oven-safe dish. 2️⃣ Crack in the eggs 3️⃣ Add the cacao powder (adjust for desired darkness). I like richer so I add more, but do what works for you. 4️⃣ Add 3-4 tbsp powdered monkfruit or preferred sweetener. 5️⃣ Add a splash of vanilla extract & mix thoroughly with a fork till no clumps. 6️⃣ Sprinkle chocolate chips on top, if desired, and add 1 to 2 tsp peanut butter inside. To make this lower calorie, skip the peanut butter here and just top it with the lower calorie pb frosting below. For the lower calorie peanut butter frosting mix 1-2 tbsp powdered peanut butter with 1-2 tbsp water or almond milk and 1 tsp powdered monkfruit. I promise, it’s just as good! 7️⃣ Pop it into the oven and bake at 350°F for 32 minutes. 8️⃣ Remove, let cool for 2 minutes, then top with the lower calorie pb drizzle, some crushed peanuts, and enjoy! If you try it, be sure to let me know on SHREDHAPPENS! ENJOY! . . . . . #lowcarb #lowcarbrecipes #keto #healthyrecipes #healthyfoodshare
0:29

HIGH PROTEIN + HEALTHY 🥜🍫CHOCOLATE PEANUT BUTTER LAVA CAKE You won’t believe this healthy dessert is high-protein with 50g protein, super lowcarb, and completely flourless! It makes two giant servings at 215 cals and 25g protein each and it’s SO good. Healthy desserts like this have been the game changer in keeping me on track during my 150lb weight loss journey - this is my fav one, and so good if you love chocolate and have a sweet tooth. Can you taste the cottage cheese? NO! Here is how I made it: Ingredients: 2 servings blended cottage cheese (about half a 16oz tub) 2 large eggs 3-4 tbsp powdered monkfruit (or sweetener of choice) 2.5-3 tbsp cacao powder (I use 3.5 tbsp for a richer taste) Splash of vanilla extract Optional: a sprinkle of chocolate chips Optional: Powdered Peanut butter and 1 tbsp crushed peanuts for the frosting 1️⃣ Process or blend 8oz cottage cheese in a small food processor until smooth and transfer to an oven-safe dish. 2️⃣ Crack in the eggs 3️⃣ Add the cacao powder (adjust for desired darkness). I like richer so I add more, but do what works for you. 4️⃣ Add 3-4 tbsp powdered monkfruit or preferred sweetener. 5️⃣ Add a splash of vanilla extract & mix thoroughly with a fork till no clumps. 6️⃣ Sprinkle chocolate chips on top, if desired, and add 1 to 2 tsp peanut butter inside. To make this lower calorie, skip the peanut butter here and just top it with the lower calorie pb frosting below. For the lower calorie peanut butter frosting mix 1-2 tbsp powdered peanut butter with 1-2 tbsp water or almond milk and 1 tsp powdered monkfruit. I promise, it’s just as good! 7️⃣ Pop it into the oven and bake at 350°F for 32 minutes. 8️⃣ Remove, let cool for 2 minutes, then top with the lower calorie pb drizzle, some crushed peanuts, and enjoy! If you try it, be sure to let me know on SHREDHAPPENS! ENJOY! . . . . . #lowcarb #lowcarbrecipes #keto #healthyrecipes #healthyfoodshare

Shredhappens

13,915 次观看 • 1 个月前

Claude Code can ship a 45-second animated explainer ad in 30 minutes. No video editor needed, just CC + skills. Here's how I made this video for Soteri Skin 👇 1. /plan Concept Brief (Claude Code) I handwrite a concept brief, then chat with the agent to iterate on it. The agent gathers any raw materials we might need - context about the brand, product images, end card, etc. The concept brief details the concept, characters, visual style, script, etc 2. /prepare a moodboard (CC + GPT Image 2 + ElevenLabs) After reviewing the script, generate: - character reference images - voiceover samples for the characters / narrator - the storyboard (scene by scene grid) - a few keyframe scenes 3. /generate Keyframes for each scene (CC uses Nano Banana or GPT Image 2) Uses the character references from the previous step to generate keyframes for each scene. I probably should have done a round of iteration at this step – there's some character drift and the pH meter representation could have been better. 4. /animate Keyframe → Animated Clip (CC uses Fal Seedance) Generate 2-4 representative scenes first to see a preview. If it looks good, then generate everything. 5. /stitch (CC + ffmpeg + ElevenLabs) - Stitch clips together with hard cut - Add a music score + SFX - Sync clips to the VO - Add captions - Review and edit timing / pacing issues 6. /watch the final cut and review it - as a video editor for technical errors (mismatched voiceover and visuals, AI hallucinations, etc) - as a viewer (ICP). I delegate most of the review to the agent because it catches more things and keeps me out of the loop as much as possible. It also fixes any issues found in the review. That's it. This video took me 30 minutes because I have already created skills for everything I described above. Some day, this will be < 5 minutes. I just review and chat to provide direction and feedback. The skills do all the technical work. 7. /learn Extracts learnings and updates the skills. This final step is really important. It turns this process into a closed loop system that makes the next video much easier to create because all the learnings from the human-in-the-loop process get encoded into code. Skills are code too. If you want access to the skill, drop a comment, and I'll DM it to you (must be following). If you want to make AI video ads like this, DM me.
0:45

Claude Code can ship a 45-second animated explainer ad in 30 minutes. No video editor needed, just CC + skills. Here's how I made this video for Soteri Skin 👇 1. /plan Concept Brief (Claude Code) I handwrite a concept brief, then chat with the agent to iterate on it. The agent gathers any raw materials we might need - context about the brand, product images, end card, etc. The concept brief details the concept, characters, visual style, script, etc 2. /prepare a moodboard (CC + GPT Image 2 + ElevenLabs) After reviewing the script, generate: - character reference images - voiceover samples for the characters / narrator - the storyboard (scene by scene grid) - a few keyframe scenes 3. /generate Keyframes for each scene (CC uses Nano Banana or GPT Image 2) Uses the character references from the previous step to generate keyframes for each scene. I probably should have done a round of iteration at this step – there's some character drift and the pH meter representation could have been better. 4. /animate Keyframe → Animated Clip (CC uses Fal Seedance) Generate 2-4 representative scenes first to see a preview. If it looks good, then generate everything. 5. /stitch (CC + ffmpeg + ElevenLabs) - Stitch clips together with hard cut - Add a music score + SFX - Sync clips to the VO - Add captions - Review and edit timing / pacing issues 6. /watch the final cut and review it - as a video editor for technical errors (mismatched voiceover and visuals, AI hallucinations, etc) - as a viewer (ICP). I delegate most of the review to the agent because it catches more things and keeps me out of the loop as much as possible. It also fixes any issues found in the review. That's it. This video took me 30 minutes because I have already created skills for everything I described above. Some day, this will be < 5 minutes. I just review and chat to provide direction and feedback. The skills do all the technical work. 7. /learn Extracts learnings and updates the skills. This final step is really important. It turns this process into a closed loop system that makes the next video much easier to create because all the learnings from the human-in-the-loop process get encoded into code. Skills are code too. If you want access to the skill, drop a comment, and I'll DM it to you (must be following). If you want to make AI video ads like this, DM me.

Shiv

11,679 次观看 • 2 个月前

BROKEN HALLELUYAH is one movie I recommend to everyone irrespective of religion… On Monday 4th June 2016 around 10am, our 1-year marriage anniversary, my wife called me & was literally sobbing on the phone. 2 things break me on the instant & could make me cry - my wife in tears & my kids in pain. She called telling me she was tired & why has God not given us a baby. I felt her pain, pulse, tears & I had shivers all over. I didn’t know what to say. Now, you could say it’s just one year, how about those who had to wait for donkey years; but not everyone has the strength for a long period of waiting. God has said He would not make us go through what is beyond our strength. One thing you must understand each time you are going through a tough time is that God is aware & He knows you have the strength to go through it till your miracle comes. As she dropped the call, I knew this woman doesn’t have strength for a long wait. I walked into the empty board room, knelt down & I cried out to God begging Him that for the sake of my wife, He should just give us a baby. I don’t have issues as it’s just 1-year & it could very well happen within the 2nd year, but this isn’t about me cos I don’t know what this would further do to her, as she isn’t so mentally rugged like that. Just about a 10-minute heartfelt prayer to God. That very week, my wife conceived & we welcomed our bundle of joy 9 months later. Truth is that we go through these tough moments, not to break us or to punish us, but to make us better people. Today, my wife is one of the toughest women I know. Sometimes she lifts me when I’m down.
4:59

BROKEN HALLELUYAH is one movie I recommend to everyone irrespective of religion… On Monday 4th June 2016 around 10am, our 1-year marriage anniversary, my wife called me & was literally sobbing on the phone. 2 things break me on the instant & could make me cry - my wife in tears & my kids in pain. She called telling me she was tired & why has God not given us a baby. I felt her pain, pulse, tears & I had shivers all over. I didn’t know what to say. Now, you could say it’s just one year, how about those who had to wait for donkey years; but not everyone has the strength for a long period of waiting. God has said He would not make us go through what is beyond our strength. One thing you must understand each time you are going through a tough time is that God is aware & He knows you have the strength to go through it till your miracle comes. As she dropped the call, I knew this woman doesn’t have strength for a long wait. I walked into the empty board room, knelt down & I cried out to God begging Him that for the sake of my wife, He should just give us a baby. I don’t have issues as it’s just 1-year & it could very well happen within the 2nd year, but this isn’t about me cos I don’t know what this would further do to her, as she isn’t so mentally rugged like that. Just about a 10-minute heartfelt prayer to God. That very week, my wife conceived & we welcomed our bundle of joy 9 months later. Truth is that we go through these tough moments, not to break us or to punish us, but to make us better people. Today, my wife is one of the toughest women I know. Sometimes she lifts me when I’m down.

DON “Tobechukwu” Ade 👑

52,230 次观看 • 1 年前

Using A Carnivore Elimination Diet To Heal GERD How I Eliminated 15yrs of Chronic PPI Proton Pump Inhibitor Medications(Nexium, Aciphex & Prilosec): Adopting A Ketogenic Proper Human Diet & Going As Strict As Needed To Eliminate Symptoms. For me, that meant in order for my Stomach & Esophagus to heal I needed to eat Beef only. Using Carnivore as an Elimination Diet allows for discovering how each item encourages healing or is harmful & flares symptoms. The following items worsened my reflux & needed to be eliminated until complete healing took place: vegetables, coffee, tea, spices, sausage, pork, chicken & eggs. Very Slow Taper Of PPI Meds To Eliminate & Prevent Severe Rebound Reflux. Start Taper Only After Achieving No GERD Symptoms On The Ketogenic Diet. All of the GERD trigger foods need to be identified first & eliminated prior to tapering medications. Cut tablets in 1/2 dose per day - or - a full dose every other day. Stay On This For 2 Weeks, Then Cut Dose In 1/2 Again -or- full dose every 3rd day. Continue this taper pattern in 2 week cycles. Keep Tapering Until Off Meds Completely. When GERD Free & PPI Free, reintroduce 1 food, drink or spice item at a time & watch for GERD symptoms to resurface & evaluate. At 7yrs healed, I have been able to add items back in since year 2. Coffee, Tea, Eggs, Sausage, Pork & Chicken are back into my way of eating with no issues or recurrence of symptoms. Vegetables & Spices are gone long term, not because of GERD symptoms but because many are high in harmful Oxalates. 9 illnesses that healed were from Oxalate Toxicity, from over consumption of High Oxalate foods daily, prior to 2017. You are your own n=1 Experiment. You can heal by discovering which foods or beverages or spices are triggers for GERD, eliminating them until symptoms are gone & stomach/esophagus heals, taper off of meds, then reintroduce the eliminated foods. My Twitter friend Ken D Berry MD describes exactly what I did to heal GERD.
0:59

Using A Carnivore Elimination Diet To Heal GERD How I Eliminated 15yrs of Chronic PPI Proton Pump Inhibitor Medications(Nexium, Aciphex & Prilosec): Adopting A Ketogenic Proper Human Diet & Going As Strict As Needed To Eliminate Symptoms. For me, that meant in order for my Stomach & Esophagus to heal I needed to eat Beef only. Using Carnivore as an Elimination Diet allows for discovering how each item encourages healing or is harmful & flares symptoms. The following items worsened my reflux & needed to be eliminated until complete healing took place: vegetables, coffee, tea, spices, sausage, pork, chicken & eggs. Very Slow Taper Of PPI Meds To Eliminate & Prevent Severe Rebound Reflux. Start Taper Only After Achieving No GERD Symptoms On The Ketogenic Diet. All of the GERD trigger foods need to be identified first & eliminated prior to tapering medications. Cut tablets in 1/2 dose per day - or - a full dose every other day. Stay On This For 2 Weeks, Then Cut Dose In 1/2 Again -or- full dose every 3rd day. Continue this taper pattern in 2 week cycles. Keep Tapering Until Off Meds Completely. When GERD Free & PPI Free, reintroduce 1 food, drink or spice item at a time & watch for GERD symptoms to resurface & evaluate. At 7yrs healed, I have been able to add items back in since year 2. Coffee, Tea, Eggs, Sausage, Pork & Chicken are back into my way of eating with no issues or recurrence of symptoms. Vegetables & Spices are gone long term, not because of GERD symptoms but because many are high in harmful Oxalates. 9 illnesses that healed were from Oxalate Toxicity, from over consumption of High Oxalate foods daily, prior to 2017. You are your own n=1 Experiment. You can heal by discovering which foods or beverages or spices are triggers for GERD, eliminating them until symptoms are gone & stomach/esophagus heals, taper off of meds, then reintroduce the eliminated foods. My Twitter friend Ken D Berry MD describes exactly what I did to heal GERD.

Valerie Anne Smith

56,350 次观看 • 1 年前

I hate to feed into this but this messaging is disingenuous. 1. CBS Boston probably had some tech issues and their live stream cut in late. (It happens all the time. It happened during the KR trials a couple times, too. People are behind those cameras.) CBS Boston also posted the whole thing when the whole recording was uploaded this morning. 2. Melanie Little probably scheduled her live a half hour after the scheduled start because no one is allowed to stream the Zoom hearings and they’re usually about 20 minutes long. 3. Kyle Sharkey is doing a crazy amount of work for nothing and he had to email the clerk to see what was going on with the Zoom well after its scheduled start. He’s not controlling the media setup in the courtroom, but he IS doing everything he can to make sure people know where/how to tune into these hearings – including you ladies! 4. We ALL want ALL the hearings! In their entirety! Not myself or any Lawtuber wants to make videos on one hearing, in two parts, in reverse order. Come on. To suggest that there was this big conspiracy to block the first part of the hearing from airing, like “FKR” knew exactly how it was going to play out before the judge entered the courtroom, is ridiculous and weird. Stop it.
1:47

I hate to feed into this but this messaging is disingenuous. 1. CBS Boston probably had some tech issues and their live stream cut in late. (It happens all the time. It happened during the KR trials a couple times, too. People are behind those cameras.) CBS Boston also posted the whole thing when the whole recording was uploaded this morning. 2. Melanie Little probably scheduled her live a half hour after the scheduled start because no one is allowed to stream the Zoom hearings and they’re usually about 20 minutes long. 3. Kyle Sharkey is doing a crazy amount of work for nothing and he had to email the clerk to see what was going on with the Zoom well after its scheduled start. He’s not controlling the media setup in the courtroom, but he IS doing everything he can to make sure people know where/how to tune into these hearings – including you ladies! 4. We ALL want ALL the hearings! In their entirety! Not myself or any Lawtuber wants to make videos on one hearing, in two parts, in reverse order. Come on. To suggest that there was this big conspiracy to block the first part of the hearing from airing, like “FKR” knew exactly how it was going to play out before the judge entered the courtroom, is ridiculous and weird. Stop it.

The Trial Channel

19,243 次观看 • 2 个月前

Really enjoyed chatting with Michael Nielsen about how we recognize scientific progress. It's especially relevant for closing the RL verification loop for scientific discovery. But it's also a surprisingly mysterious and elusive question when you look at the history of human science. We approach this question stories like Einstein (who claimed that he hadn't even heard of the famous Michelson-Morley experiment, which is supposed to have motivated special relativity, until after he had come up with the theory), Darwin (why did it take till 1859 to lay out an idea whose essence every farmer since antiquity must have observed?), Prout (how do you recognize that isotopes exist if you cannot chemically separate them?), and many others. The verification loop on scientific ideas is often extremely long and weirdly hostile. Ancient Athenians dismissed Aristarchus's heliocentrism in the 3rd century BC because it would imply that the stars should shift in the sky as the Earth orbits the sun. The first successful measurement of stellar parallax was in 1838. That's a 2,000-year verification loop. But clearly human science is able to make progress faster than raw experimental falsification/verification would imply, and in cases where experiments are very ambiguous. How? Michael has some very deep and provocative hypotheses about the nature of progress. One I found especially thought-provoking is that aliens will likely have a VERY different science + tech stack than us. Which contradicts the common sense picture of a linear tech tree that I was assuming. And has some interesting implications about how future civilizations might trade and cooperate with each other. So many other interesting ideas. Hope you enjoy this as much as I did. 0:00:00 – How scientific progress outpaces its verification loops 0:17:51 – Newton was the last of the magicians 0:23:26 – Why wasn’t natural selection obvious much earlier? 0:29:52 – Could gradient descent have discovered general relativity? 0:50:54 – Why aliens will have a different tech stack than us 1:15:26 – Are there infinitely many deep scientific principles left to discover? 1:26:25 – What drew Michael to quantum computing so early? 1:35:29 – Does science need a new way to assign credit? 1:43:57 – Prolificness versus depth 1:49:17 – What it takes to actually internalize what you learn Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.
2:03:03

Really enjoyed chatting with Michael Nielsen about how we recognize scientific progress. It's especially relevant for closing the RL verification loop for scientific discovery. But it's also a surprisingly mysterious and elusive question when you look at the history of human science. We approach this question stories like Einstein (who claimed that he hadn't even heard of the famous Michelson-Morley experiment, which is supposed to have motivated special relativity, until after he had come up with the theory), Darwin (why did it take till 1859 to lay out an idea whose essence every farmer since antiquity must have observed?), Prout (how do you recognize that isotopes exist if you cannot chemically separate them?), and many others. The verification loop on scientific ideas is often extremely long and weirdly hostile. Ancient Athenians dismissed Aristarchus's heliocentrism in the 3rd century BC because it would imply that the stars should shift in the sky as the Earth orbits the sun. The first successful measurement of stellar parallax was in 1838. That's a 2,000-year verification loop. But clearly human science is able to make progress faster than raw experimental falsification/verification would imply, and in cases where experiments are very ambiguous. How? Michael has some very deep and provocative hypotheses about the nature of progress. One I found especially thought-provoking is that aliens will likely have a VERY different science + tech stack than us. Which contradicts the common sense picture of a linear tech tree that I was assuming. And has some interesting implications about how future civilizations might trade and cooperate with each other. So many other interesting ideas. Hope you enjoy this as much as I did. 0:00:00 – How scientific progress outpaces its verification loops 0:17:51 – Newton was the last of the magicians 0:23:26 – Why wasn’t natural selection obvious much earlier? 0:29:52 – Could gradient descent have discovered general relativity? 0:50:54 – Why aliens will have a different tech stack than us 1:15:26 – Are there infinitely many deep scientific principles left to discover? 1:26:25 – What drew Michael to quantum computing so early? 1:35:29 – Does science need a new way to assign credit? 1:43:57 – Prolificness versus depth 1:49:17 – What it takes to actually internalize what you learn Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.

Dwarkesh Patel

291,443 次观看 • 4 个月前

Michael Seibel on how to create a great startup pitch In the clip below, former Y Combinator CEO Michael Seibel breaks down the two types of pitches every startup founder needs: a 30-second elevator pitch and a two-minute pitch for investors. “A lot of people practice 10-minute, 30-minute, hour-long, pitches. I think that’s all garbage. I think you can get all of your points across in two minutes. And one thing I like to tell founders is that the more you talk, the more you have an opportunity to say something that people don’t like.” 30-Second Elevator Pitch: You should be able to explain to anyone you come across what your company does in 30 seconds. This should be three sentences: 1. What does your company do? Assume the person you’re talking to knows nothing. This should be a 1-sentence explanation that your mom or dad can understand (e.g. “We’re Airbnb and we allow you to rent out the extra room in your house” NOT “We’re Airbnb and we’re a marketplace for space”). 2. How big is the market? Do a couple hours of research so that you can give investors a rough approximation of the size of the market you’re in (e.g. Airbnb might give the size of online hotel booking market) 3. How much traction do you have? Ideally you can say something like: “We launched in January and we’re growing 30% month over month. We have $ X sales and Y users.” If you’re pre-launch, you need to convince investors that you’re moving quickly (e.g. “the team came together in January. By March we launched our beta. By April we launched our product.”). Two-Minute Pitch: This pitch is for people you’re actually trying to convince of something (e.g. investors, potential employees, etc.). You basically want to simply explain what you do and then ask for money. There are 5 key components: 1. Clear 30 second pitch (everything mentioned above) 2. Unique insight—what do the biggest players in your market not understand? This should be 2 sentences. 3. How do you make money? 4. Team. If your team has done something that has made investors money, you should mention that (e.g. “we’re the founders of PayPal”). If you haven’t, don’t go on about the awards you’ve won or PhDs you hold. What investors want to hear is: how many founders? (hopefully 2-4) how many of the founders are technical? (hopefully 50% or more engineers) How long have you known each other? (ideally you’ve known each other either personally or professionally for at least 6 months) Are you all full-time? 5. The Big Ask ($$$). You have to know what you’re talking about when you ask for money. Are you raising on a convertible note or a SAFE? What’s the cap of the SAFE? How much money are you raising? What’s the minimum check size? If you don’t know these things, investors won’t think you’re serious or that you haven’t done your homework.
6:34

Michael Seibel on how to create a great startup pitch In the clip below, former Y Combinator CEO Michael Seibel breaks down the two types of pitches every startup founder needs: a 30-second elevator pitch and a two-minute pitch for investors. “A lot of people practice 10-minute, 30-minute, hour-long, pitches. I think that’s all garbage. I think you can get all of your points across in two minutes. And one thing I like to tell founders is that the more you talk, the more you have an opportunity to say something that people don’t like.” 30-Second Elevator Pitch: You should be able to explain to anyone you come across what your company does in 30 seconds. This should be three sentences: 1. What does your company do? Assume the person you’re talking to knows nothing. This should be a 1-sentence explanation that your mom or dad can understand (e.g. “We’re Airbnb and we allow you to rent out the extra room in your house” NOT “We’re Airbnb and we’re a marketplace for space”). 2. How big is the market? Do a couple hours of research so that you can give investors a rough approximation of the size of the market you’re in (e.g. Airbnb might give the size of online hotel booking market) 3. How much traction do you have? Ideally you can say something like: “We launched in January and we’re growing 30% month over month. We have $ X sales and Y users.” If you’re pre-launch, you need to convince investors that you’re moving quickly (e.g. “the team came together in January. By March we launched our beta. By April we launched our product.”). Two-Minute Pitch: This pitch is for people you’re actually trying to convince of something (e.g. investors, potential employees, etc.). You basically want to simply explain what you do and then ask for money. There are 5 key components: 1. Clear 30 second pitch (everything mentioned above) 2. Unique insight—what do the biggest players in your market not understand? This should be 2 sentences. 3. How do you make money? 4. Team. If your team has done something that has made investors money, you should mention that (e.g. “we’re the founders of PayPal”). If you haven’t, don’t go on about the awards you’ve won or PhDs you hold. What investors want to hear is: how many founders? (hopefully 2-4) how many of the founders are technical? (hopefully 50% or more engineers) How long have you known each other? (ideally you’ve known each other either personally or professionally for at least 6 months) Are you all full-time? 5. The Big Ask ($$$). You have to know what you’re talking about when you ask for money. Are you raising on a convertible note or a SAFE? What’s the cap of the SAFE? How much money are you raising? What’s the minimum check size? If you don’t know these things, investors won’t think you’re serious or that you haven’t done your homework.

Startup Archive

80,580 次观看 • 2 年前

A Friday afternoon autonomous car experience. Tesla fan Ghenadie Mardari, who is a qualitative physicist, wanted to try the Tesla Robotaxi service, which is really a ride-sharing service. Both drivers we had said they aren’t allowed to talk with us. Very different than my rides on Friday. Some feedback for the team before turning it on for public. The app needs far more flexibility to choose drives. Here are some requests to make the service far better, particularly when it gets to the place where humans aren’t needed to watch it. Here are several wishes: 1. Take scenic route only. It chooses the fastest route, which usually is preferred but in an autonomous car why not give us choice? 2. Find me a bathroom on my route. Especially important on longer drives (the one we are on right now is 45 minutes). 3. Visit the historical landmark up ahead. 4. Add a food stop. If the rider is headed somewhere they should be able to add a stop to pick up some food. Go through a drive through at an In-N-Out, etc. 5. Add a grocery store, or other business, stop. Similar to last one, but here the rider would need to exit the car, go into a store, pick something up, and have the car wait for them until they returned. 6. Spontaneous stop. Keys say you see an ice cream shop on your ride. You should be able to say “take me there and wait.” 7. When playing music on Apple Music I couldn’t shuffle my playlist. 8. Grok isn’t yet integrated. Should be able to have a constant conversation with Grok to do all this and much more. One thing I have learned in my four rides is that the new Model Y is nicer than any other car I have been in and is way better than our 2024 Model Y (two major things are the suspension is way better and it is noticeably quieter). Oh and on none of my rides has the human taken over, the AI driving is getting very good. Really this is a way for Elon Musk to put more Tesla employees on the road to collect more data and defray the costs of doing so. We paid about $90 to drive 1.5 hours. Both of us thought that was funny. That we took a long drive we didn’t need to take (I took him from his hotel in San Leandro to the Tesla factory in Fremont and back). Enjoyable Friday afternoon. I can’t remember ever talking to a guy who studies philosophy and physics together and learned a lot. Have a great weekend!
4:45

A Friday afternoon autonomous car experience. Tesla fan Ghenadie Mardari, who is a qualitative physicist, wanted to try the Tesla Robotaxi service, which is really a ride-sharing service. Both drivers we had said they aren’t allowed to talk with us. Very different than my rides on Friday. Some feedback for the team before turning it on for public. The app needs far more flexibility to choose drives. Here are some requests to make the service far better, particularly when it gets to the place where humans aren’t needed to watch it. Here are several wishes: 1. Take scenic route only. It chooses the fastest route, which usually is preferred but in an autonomous car why not give us choice? 2. Find me a bathroom on my route. Especially important on longer drives (the one we are on right now is 45 minutes). 3. Visit the historical landmark up ahead. 4. Add a food stop. If the rider is headed somewhere they should be able to add a stop to pick up some food. Go through a drive through at an In-N-Out, etc. 5. Add a grocery store, or other business, stop. Similar to last one, but here the rider would need to exit the car, go into a store, pick something up, and have the car wait for them until they returned. 6. Spontaneous stop. Keys say you see an ice cream shop on your ride. You should be able to say “take me there and wait.” 7. When playing music on Apple Music I couldn’t shuffle my playlist. 8. Grok isn’t yet integrated. Should be able to have a constant conversation with Grok to do all this and much more. One thing I have learned in my four rides is that the new Model Y is nicer than any other car I have been in and is way better than our 2024 Model Y (two major things are the suspension is way better and it is noticeably quieter). Oh and on none of my rides has the human taken over, the AI driving is getting very good. Really this is a way for Elon Musk to put more Tesla employees on the road to collect more data and defray the costs of doing so. We paid about $90 to drive 1.5 hours. Both of us thought that was funny. That we took a long drive we didn’t need to take (I took him from his hotel in San Leandro to the Tesla factory in Fremont and back). Enjoyable Friday afternoon. I can’t remember ever talking to a guy who studies philosophy and physics together and learned a lot. Have a great weekend!

Robert Scoble

39,834 次观看 • 11 个月前

Putting the entire debate I had this evening on IndiaToday out- no edits, no cuts- full debate. Do watch & see THE DEBATE ENDED WITH ABUSES HURLED AT ME BY Rajdeep Sardesai - CALLED ME CRETIN, LOW LEVEL Here’s what happened.. 1) Despite me requesting Rajdeep Sardesai to let me complete- which he did not do last evening - he again interrupts me within 20 seconds of my first remarks after his long opening - literally within 20 seconds!! ((It was not a fact check )) 2) I call out Rajdeep jovially , without any anger, for his constant interruptions and wonder why he needs to peddle a congress narrative rather than hear me fully. 3) Preeti, far from stopping him, starts behaving rudely & says I was on her show to seek “2 mins of fame” not aware of the fact that BJP assigns us- we don’t get to choose & also forgetting that her show is the last place one would get fame - for that people need to watch her show THE SAME PREETI , RAJDEEP NOT ONCE INTERJECT SANJAY JHA FOR HIS VERBAL DIATRIBE ON PM Narendra Modi LABELLING HIM DICTATORIAL & FASCIST! She shouts at me because I request Rajdeep to not be biased and interrupt me constantly when I was fact checking them and defending my party and leader. 4) Rajdeep continues to interrupt when Preeti assures me 45 seconds- dramatically puts on a timer- Rajdeep still interrupts me in 14 seconds! Preeti watches on… 5) Preeti screams at me. Multiple times. Literally screams.. I remind her we should be courteous but it has no effect. 6) Rajdeep gets an ending comment which I am not allowed to counter.. (Panel was Sanjay Jha, Rajdeep, Me & of course the anchor Preeti) 7) Preeti closes show, without allowing me even 10 seconds to respond to Rajdeep and twists my statement on 7 days aspect and completely misquotes me ( Do watch the debate till the end to see if that is what I said and HOW SHE COMPLETELY MISQUOTES- it isn’t even funny leave alone ethical) 8) After the debate, when cameras go off, Rajdeep hurls abuses at me- calls me a cretin and low level. (Shouts at me along the hall way and elevator even as I tell him I do not wish to talk ) - I am sure other cameras have captured this. Rajdeep in the past has asked Sambit Patra to shut up, allowed Supriya Srinate to call me a goon on national tv and justified it. (Videos are available ) The full debate is here for everyone to see Aroon Purie supriya prasad - unedited Dear Aroon ji, 1) Can your journalist , for any reason, call me cretin and low level? Let us assume I am completely wrong- even then is this justified? Is it a crime for me keep the version my party trusts me to? 2) Can your anchor say I am here for two mins of fame when my party has chosen to send me? Same anchor does not stop Sanjay Jha once for making most despicable comments on PM Narendra Modi but if I defend my party and leader I am abused? 3) Can your anchor twist my words and misquote me blatantly at the end? 4) If somebody interrupts every fifteen seconds and I call out their pro-Congress tilt- This is what is being justified by abusing and shouting at me ? Merely because I wish to factually rebut allegations thrown at my party? The full debate is here for everyone to see & decide. Link : BJP Anil Baluni
21:50

Putting the entire debate I had this evening on IndiaToday out- no edits, no cuts- full debate. Do watch & see THE DEBATE ENDED WITH ABUSES HURLED AT ME BY Rajdeep Sardesai - CALLED ME CRETIN, LOW LEVEL Here’s what happened.. 1) Despite me requesting Rajdeep Sardesai to let me complete- which he did not do last evening - he again interrupts me within 20 seconds of my first remarks after his long opening - literally within 20 seconds!! ((It was not a fact check )) 2) I call out Rajdeep jovially , without any anger, for his constant interruptions and wonder why he needs to peddle a congress narrative rather than hear me fully. 3) Preeti, far from stopping him, starts behaving rudely & says I was on her show to seek “2 mins of fame” not aware of the fact that BJP assigns us- we don’t get to choose & also forgetting that her show is the last place one would get fame - for that people need to watch her show THE SAME PREETI , RAJDEEP NOT ONCE INTERJECT SANJAY JHA FOR HIS VERBAL DIATRIBE ON PM Narendra Modi LABELLING HIM DICTATORIAL & FASCIST! She shouts at me because I request Rajdeep to not be biased and interrupt me constantly when I was fact checking them and defending my party and leader. 4) Rajdeep continues to interrupt when Preeti assures me 45 seconds- dramatically puts on a timer- Rajdeep still interrupts me in 14 seconds! Preeti watches on… 5) Preeti screams at me. Multiple times. Literally screams.. I remind her we should be courteous but it has no effect. 6) Rajdeep gets an ending comment which I am not allowed to counter.. (Panel was Sanjay Jha, Rajdeep, Me & of course the anchor Preeti) 7) Preeti closes show, without allowing me even 10 seconds to respond to Rajdeep and twists my statement on 7 days aspect and completely misquotes me ( Do watch the debate till the end to see if that is what I said and HOW SHE COMPLETELY MISQUOTES- it isn’t even funny leave alone ethical) 8) After the debate, when cameras go off, Rajdeep hurls abuses at me- calls me a cretin and low level. (Shouts at me along the hall way and elevator even as I tell him I do not wish to talk ) - I am sure other cameras have captured this. Rajdeep in the past has asked Sambit Patra to shut up, allowed Supriya Srinate to call me a goon on national tv and justified it. (Videos are available ) The full debate is here for everyone to see Aroon Purie supriya prasad - unedited Dear Aroon ji, 1) Can your journalist , for any reason, call me cretin and low level? Let us assume I am completely wrong- even then is this justified? Is it a crime for me keep the version my party trusts me to? 2) Can your anchor say I am here for two mins of fame when my party has chosen to send me? Same anchor does not stop Sanjay Jha once for making most despicable comments on PM Narendra Modi but if I defend my party and leader I am abused? 3) Can your anchor twist my words and misquote me blatantly at the end? 4) If somebody interrupts every fifteen seconds and I call out their pro-Congress tilt- This is what is being justified by abusing and shouting at me ? Merely because I wish to factually rebut allegations thrown at my party? The full debate is here for everyone to see & decide. Link : BJP Anil Baluni

Shehzad Jai Hind

3,485,729 次观看 • 2 年前

I told Claude I had $1,000 and one week to make something happen. No job. No plan. Just a number and a question. I expected the usual advice. Index funds. Savings accounts. Maybe stocks. Instead, Claude gave me something completely different. Find a bot on GitHub that buys events priced under 3 cents. Deploy it with $1,000. Let it run. Most bets will go to zero. The ones that hit will pay 100x–500x. I laughed. Then Claude added one line that changed everything: Someone is already doing this. Search “planktonXD”. So I did. Copy it here: planktonXD. $95,502 profit. Joined February 2025. Bio: having fun. Starting capital? Just over $1,000. Same number I had. One trade: $15 on “zero earthquakes worldwide” Payout: $1,330 ROI: 8,742% At first it looked like luck. Then I saw the scale. 77,752 bets. $5 to $25 each. Most go to zero. But the rare ones… They don’t just win — they explode. Buying at fractions of a cent. Cashing out at 100x, 300x, sometimes 500x. I asked Claude to explain the logic. It broke it down simply: Bet $15 across 100 events at 1 cent. 99 go to zero. 1 hits — you break even. 2 hit — you double. 3 hit — you start compounding. planktonXD didn’t hit three. He hit way more. $1,000 → $95,502. Not by predicting the future. But by exploiting how people price it. I asked Claude the obvious question: Should I copy this? Claude replied: I can’t give financial advice. But mathematically, the edge exists as long as the crowd overprices fear and underprices chaos. That night I didn’t overthink it. Put in $100. Copied 9 positions under 1 cent. Went to sleep. Woke up. One hit. $100 → $580. No indicators. No charts. No “alpha”. Just asymmetry. I didn’t ask Claude what to buy. I asked where $1,000 goes the furthest. It pointed me to someone who already did it. 77,752 bets later… The bot is still running. The bio still says: having fun. I asked Claude one last question: What would you call this strategy? Claude said: Buying lottery tickets… where the math is on your side.
1:04

I told Claude I had $1,000 and one week to make something happen. No job. No plan. Just a number and a question. I expected the usual advice. Index funds. Savings accounts. Maybe stocks. Instead, Claude gave me something completely different. Find a bot on GitHub that buys events priced under 3 cents. Deploy it with $1,000. Let it run. Most bets will go to zero. The ones that hit will pay 100x–500x. I laughed. Then Claude added one line that changed everything: Someone is already doing this. Search “planktonXD”. So I did. Copy it here: planktonXD. $95,502 profit. Joined February 2025. Bio: having fun. Starting capital? Just over $1,000. Same number I had. One trade: $15 on “zero earthquakes worldwide” Payout: $1,330 ROI: 8,742% At first it looked like luck. Then I saw the scale. 77,752 bets. $5 to $25 each. Most go to zero. But the rare ones… They don’t just win — they explode. Buying at fractions of a cent. Cashing out at 100x, 300x, sometimes 500x. I asked Claude to explain the logic. It broke it down simply: Bet $15 across 100 events at 1 cent. 99 go to zero. 1 hits — you break even. 2 hit — you double. 3 hit — you start compounding. planktonXD didn’t hit three. He hit way more. $1,000 → $95,502. Not by predicting the future. But by exploiting how people price it. I asked Claude the obvious question: Should I copy this? Claude replied: I can’t give financial advice. But mathematically, the edge exists as long as the crowd overprices fear and underprices chaos. That night I didn’t overthink it. Put in $100. Copied 9 positions under 1 cent. Went to sleep. Woke up. One hit. $100 → $580. No indicators. No charts. No “alpha”. Just asymmetry. I didn’t ask Claude what to buy. I asked where $1,000 goes the furthest. It pointed me to someone who already did it. 77,752 bets later… The bot is still running. The bio still says: having fun. I asked Claude one last question: What would you call this strategy? Claude said: Buying lottery tickets… where the math is on your side.

Discover

191,088 次观看 • 4 个月前

On June 26th, I received a community guidelines strike on a livestream for someone in the background of the video, saying to "suck a dick" at 02:08:02. It was removed for harassment and unwanted sexual activity. I appealed & it was denied within 5 minutes. No Human, just TeamYouTube automated AI system. According to YouTube's own rules and their requirement that you take a community guidelines class after the strike, this should NOT constitute a removal, given the context. The context is: A wife told their husband to suck their ex's dick in a joking manner. I removed the part in question and reuploaded the entire 3-hr-long livestream censored. Then, on July 3rd, YouTube AI automation took down the same censored video for me, saying "suck the titty" at 2:42:30 regarding TransFirebat fighting with their wife on camera about breastfeeding... Prior to this, TransFirebat has shown themselves on camera randomly flagging these videos and telling others to report me to get my channel terminated. It seems it has worked just like TheQuartering did a few months ago. Both of these strikes are wrong, and I can't get in contact with anyone about them for a manual human review. That's all I want. Hell, if you have a contact at YouTube, I'll compensate you for it... Transfirebat is on camera calling me the f-slur multiple times, and graphically describing committing SA against an ex, yet that content is still on YouTube. I just want to understand how that is allowed, but the two instances here are not. I love freedom of speech, but this is AI making incorrect content decisions, either through false reports or because its system doesn't understand the context of what's being said. The word "suck" seems to trigger the AI system. Nobody should have to endure false community guidelines strikes from YouTube's AI system with no recourse. 15 years, 1700+ videos, one more strike, I'm gone from YouTube. I've accepted that this could happen tomorrow, next week, or after this post goes out. I am at the end of my rope with absolutely no options other than asking the internet to raise awareness of this. I stream once a week, and thankfully, this is not my job anymore. If my channel is terminated, this is the reason why. AI has replaced human decision-making, and it will only continue to get worse for online creators of all sizes if this isn't fixed. This can affect you too. Any shares would be highly appreciated. Cheers. #youtube
0:32

Sensitive content

On June 26th, I received a community guidelines strike on a livestream for someone in the background of the video, saying to "suck a dick" at 02:08:02. It was removed for harassment and unwanted sexual activity. I appealed & it was denied within 5 minutes. No Human, just TeamYouTube automated AI system. According to YouTube's own rules and their requirement that you take a community guidelines class after the strike, this should NOT constitute a removal, given the context. The context is: A wife told their husband to suck their ex's dick in a joking manner. I removed the part in question and reuploaded the entire 3-hr-long livestream censored. Then, on July 3rd, YouTube AI automation took down the same censored video for me, saying "suck the titty" at 2:42:30 regarding TransFirebat fighting with their wife on camera about breastfeeding... Prior to this, TransFirebat has shown themselves on camera randomly flagging these videos and telling others to report me to get my channel terminated. It seems it has worked just like TheQuartering did a few months ago. Both of these strikes are wrong, and I can't get in contact with anyone about them for a manual human review. That's all I want. Hell, if you have a contact at YouTube, I'll compensate you for it... Transfirebat is on camera calling me the f-slur multiple times, and graphically describing committing SA against an ex, yet that content is still on YouTube. I just want to understand how that is allowed, but the two instances here are not. I love freedom of speech, but this is AI making incorrect content decisions, either through false reports or because its system doesn't understand the context of what's being said. The word "suck" seems to trigger the AI system. Nobody should have to endure false community guidelines strikes from YouTube's AI system with no recourse. 15 years, 1700+ videos, one more strike, I'm gone from YouTube. I've accepted that this could happen tomorrow, next week, or after this post goes out. I am at the end of my rope with absolutely no options other than asking the internet to raise awareness of this. I stream once a week, and thankfully, this is not my job anymore. If my channel is terminated, this is the reason why. AI has replaced human decision-making, and it will only continue to get worse for online creators of all sizes if this isn't fixed. This can affect you too. Any shares would be highly appreciated. Cheers. #youtube

Repzion

35,092 次观看 • 1 个月前

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.
10:19

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.

Jeff Sun, CFTe

381,091 次观看 • 8 个月前

Until Monday, the X algorithm didn’t factor in who your mutuals were. That data was missing from the model. I give credit to X for saying it out loud and then shipping the fix the same day. Transparency matters. A lot. Now that we’re openly talking about improving the algorithm, I have a suggestion that moves us further in the same direction. I’m not a hater. I’m here every day. I want this place to win. I brought a use case for consideration: THE USE CASE • Same account (mine) • Two posts • Same followers • Hours apart • One got 7,700 reposts • The other got 136 A controlled experiment nobody designed. You voted 57 to 1 on which post you preferred. Lines of code vetoed you. THE DATA 7,700 to 136 is 57 to 1. Adjust for impressions and it’s still 29 to 1 (See chart below) THE PRICE Not all engagement is equal. A like is free, and nobody sees you cast it. A repost staples my words to your name, in front of your followers. It’s the most expensive vote on this platform, and 7,700 people paid it. X wasn’t listening. THE MACHINE The ranker is Phoenix, a transformer built from Grok. It reads your post and predicts how likely people are to like, reply, or repost. Distribution flows from that prediction, made before a single human sees the post. A machine guesses what we want. Then it decides what we get. That machine learned our taste by watching us. It’s a copy of us. Now the copy outvotes the original, and when it gets us wrong, nothing tells it. That loop isn’t broken. It was never built. This is the design, and a design is a choice. Respectfully, I think the design should be revisited. THE OBJECTION Maybe the first post just found its ceiling. Maybe 198,000 views was all the audience it had. Except 7,700 reposts isn’t a ceiling, it’s a battering ram. Those views weren’t Phoenix being generous. They were 7,700 people carrying the post by hand. I watched it climb minute by minute. No algo push. A crowd. THE SUGGESTION Monday worked because someone inside noticed the gap. Engineers see the code. Users see what it does to us. Each side holds half the picture. This post is my half. Elon already said it: “We need a complete overhaul of the algorithm.” Start here. Stop letting a robot predict what we’ll like. Use what we already told you we like. One is a guess. The other is actual humans. PS: Supporting data is in the comments. Please don’t throttle my account. I’m an active user and content creator, and I’m trying to be helpful.
0:29

Until Monday, the X algorithm didn’t factor in who your mutuals were. That data was missing from the model. I give credit to X for saying it out loud and then shipping the fix the same day. Transparency matters. A lot. Now that we’re openly talking about improving the algorithm, I have a suggestion that moves us further in the same direction. I’m not a hater. I’m here every day. I want this place to win. I brought a use case for consideration: THE USE CASE • Same account (mine) • Two posts • Same followers • Hours apart • One got 7,700 reposts • The other got 136 A controlled experiment nobody designed. You voted 57 to 1 on which post you preferred. Lines of code vetoed you. THE DATA 7,700 to 136 is 57 to 1. Adjust for impressions and it’s still 29 to 1 (See chart below) THE PRICE Not all engagement is equal. A like is free, and nobody sees you cast it. A repost staples my words to your name, in front of your followers. It’s the most expensive vote on this platform, and 7,700 people paid it. X wasn’t listening. THE MACHINE The ranker is Phoenix, a transformer built from Grok. It reads your post and predicts how likely people are to like, reply, or repost. Distribution flows from that prediction, made before a single human sees the post. A machine guesses what we want. Then it decides what we get. That machine learned our taste by watching us. It’s a copy of us. Now the copy outvotes the original, and when it gets us wrong, nothing tells it. That loop isn’t broken. It was never built. This is the design, and a design is a choice. Respectfully, I think the design should be revisited. THE OBJECTION Maybe the first post just found its ceiling. Maybe 198,000 views was all the audience it had. Except 7,700 reposts isn’t a ceiling, it’s a battering ram. Those views weren’t Phoenix being generous. They were 7,700 people carrying the post by hand. I watched it climb minute by minute. No algo push. A crowd. THE SUGGESTION Monday worked because someone inside noticed the gap. Engineers see the code. Users see what it does to us. Each side holds half the picture. This post is my half. Elon already said it: “We need a complete overhaul of the algorithm.” Start here. Stop letting a robot predict what we’ll like. Use what we already told you we like. One is a guess. The other is actual humans. PS: Supporting data is in the comments. Please don’t throttle my account. I’m an active user and content creator, and I’m trying to be helpful.

Sovey

20,509 次观看 • 1 个月前

Here's a copy/paste prompt recipe and vid showing exactly how to ask an LLM for an interactive map with satellite/map layers + a georeferencer that lets you see how old maps correspond with modern geography. Today the computer can’t make good print maps (that's your hill to climb ) but it can, with five bucks and twenty minutes, make good interactive maps. No software/GIS knowledge necessary, you just need a few nouns and an LLM. Scroll to the bottom for the repo/live map if you want those. I'm using Claude Code as an extension in VS Code but you can use the Claude CLI, Cursor, whatever. 1) Let's grab an old cadastral map and see who owned big tracts of a city; I found this an 1854 map of Niagara Falls, NY I found in the Library of Congress: , grabbed the .jp2, saved as a jpg from photoshop. 2) Let's ask Claude Code for a map. You can see exactly what I did in the video but my prompt, sans simple "hey it's busted" debugging, is written out in the following paragraphs. I explain the map-specific nouns in brackets. You can likely dump this whole thing in your LLM window and it'll work; I'd try plan mode + skip permissions. THE PROMPT Make an interactive map with MapLibre GL JS [maplibre is a javascript mapping library, a FOSS version of Mapbox GL JS. This lets us display tiled map data and arbitrary images on the map] Add basemap toggles with Esri satellite, Carto Positron, and OSM [these map layers require no API keys for light usage; Carto Positron is a nice road map layer and OSM is ugly but comprehensive] Add a globe/mercator projection toggle [I think the globe looks better at low zooms] Add a layer panel on the left with visibility checkboxes and delete buttons. Add a search box on the map that flies to results, with deletable pin markers [Makes this easy to get to your area of interest] Include an interactive local georeferencer: drop a JPG, pick ground control points on a zoomable/pannable image viewer, place them on the map, watch it warp with a progress bar centered on the map. [The georeferencer uses math ("affine transform"??) to match points on the old map to points on the new map; generally you click road intersections on the old map, match them on the new map, repeat a dozen times and everything aligns] The georeferenced map overlay defaults to 25% opacity with a slider above the control point list. [I want it easy to see the underlying modern geography] Add Export/import control point buttons [this saves the control points as a JSON so you can save and reimport your work] Add a button to export the warped image as a GeoTIFF with a .prj [In case you want to add the georeferenced image to a real GIS program like QGIS] Look up all relevant docs before starting [Claude sometimes uses outdated stuff] Split everything into separate HTML/CSS/JS files [Claude tends to pile everything in index.html, which is hard to read] Use Optima font, base color #FEFAF6 [I just like this style] Let me test with a local server [it serves it on a simple server so you can nav your host to localhost:8000 and try it out] Log all errors [so you don't have to play telephone with the LLM describing what's busted] 3) Once your LLM finishes, test it out in your browser; if it doesn't work, ask the LLM to check logs. Repeat 'til functional. 4) After this works on your computer, you can show it to everyone by hosting it on GitHub: prompt with "write a README explaining what everything does, add it to a new GitHub repo, deploy using GitHub pages, gimme the live URL" Here's what Claude made for me, try it yourself: • Upload the JPG in the repo, which is linked below • "Add GCP" • Click somewhere recognizable on the old map, like the tip of an island or a road intersection • Click the matching point on the new map • Repeat til you have least 3x points • Hit "georeference" • You'll see the old map atop the new map; if you want a better fit, delete bad points or add a dozen new ones, hit georeference again, repeat Repo: Is this map robust? Human-maintainable? Elegant? Performant? Secure? No, but *your* personal web map need not be. It just needs to work for *your* narrow use case, because it’s *your* map.
28:20

Here's a copy/paste prompt recipe and vid showing exactly how to ask an LLM for an interactive map with satellite/map layers + a georeferencer that lets you see how old maps correspond with modern geography. Today the computer can’t make good print maps (that's your hill to climb ) but it can, with five bucks and twenty minutes, make good interactive maps. No software/GIS knowledge necessary, you just need a few nouns and an LLM. Scroll to the bottom for the repo/live map if you want those. I'm using Claude Code as an extension in VS Code but you can use the Claude CLI, Cursor, whatever. 1) Let's grab an old cadastral map and see who owned big tracts of a city; I found this an 1854 map of Niagara Falls, NY I found in the Library of Congress: , grabbed the .jp2, saved as a jpg from photoshop. 2) Let's ask Claude Code for a map. You can see exactly what I did in the video but my prompt, sans simple "hey it's busted" debugging, is written out in the following paragraphs. I explain the map-specific nouns in brackets. You can likely dump this whole thing in your LLM window and it'll work; I'd try plan mode + skip permissions. THE PROMPT Make an interactive map with MapLibre GL JS [maplibre is a javascript mapping library, a FOSS version of Mapbox GL JS. This lets us display tiled map data and arbitrary images on the map] Add basemap toggles with Esri satellite, Carto Positron, and OSM [these map layers require no API keys for light usage; Carto Positron is a nice road map layer and OSM is ugly but comprehensive] Add a globe/mercator projection toggle [I think the globe looks better at low zooms] Add a layer panel on the left with visibility checkboxes and delete buttons. Add a search box on the map that flies to results, with deletable pin markers [Makes this easy to get to your area of interest] Include an interactive local georeferencer: drop a JPG, pick ground control points on a zoomable/pannable image viewer, place them on the map, watch it warp with a progress bar centered on the map. [The georeferencer uses math ("affine transform"??) to match points on the old map to points on the new map; generally you click road intersections on the old map, match them on the new map, repeat a dozen times and everything aligns] The georeferenced map overlay defaults to 25% opacity with a slider above the control point list. [I want it easy to see the underlying modern geography] Add Export/import control point buttons [this saves the control points as a JSON so you can save and reimport your work] Add a button to export the warped image as a GeoTIFF with a .prj [In case you want to add the georeferenced image to a real GIS program like QGIS] Look up all relevant docs before starting [Claude sometimes uses outdated stuff] Split everything into separate HTML/CSS/JS files [Claude tends to pile everything in index.html, which is hard to read] Use Optima font, base color #FEFAF6 [I just like this style] Let me test with a local server [it serves it on a simple server so you can nav your host to localhost:8000 and try it out] Log all errors [so you don't have to play telephone with the LLM describing what's busted] 3) Once your LLM finishes, test it out in your browser; if it doesn't work, ask the LLM to check logs. Repeat 'til functional. 4) After this works on your computer, you can show it to everyone by hosting it on GitHub: prompt with "write a README explaining what everything does, add it to a new GitHub repo, deploy using GitHub pages, gimme the live URL" Here's what Claude made for me, try it yourself: • Upload the JPG in the repo, which is linked below • "Add GCP" • Click somewhere recognizable on the old map, like the tip of an island or a road intersection • Click the matching point on the new map • Repeat til you have least 3x points • Hit "georeference" • You'll see the old map atop the new map; if you want a better fit, delete bad points or add a dozen new ones, hit georeference again, repeat Repo: Is this map robust? Human-maintainable? Elegant? Performant? Secure? No, but *your* personal web map need not be. It just needs to work for *your* narrow use case, because it’s *your* map.

Evan Applegate

15,772 次观看 • 5 个月前

Stanford professor just gave away the entire foundation of how AI Agents & automation actually works. 1-hour lecture. Tool calling. Multi-step workflows. Planning. Reflection. SAVE this to watch this before you open Netflix tonight. More valuable than 6 months of copying Make and n8n tutorials, for building Ai Agents Most people learn by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Follow Himanshu Kumar for more high-signal content that actually moves your skills forward instead of just entertaining you for 30 seconds. ↓ Why your automations keep breaking. You copied a Make tutorial. Built the exact workflow. Worked for a week. Then the API changed. The trigger failed. An edge case broke everything. You had no idea how to fix it. Because you never understood why it worked. You were copying keystrokes. The people shipping real automation were understanding architecture. ↓ What Stanford actually teaches. Tool calling: how an agent decides which tool to use by scoring each option against the current task state, not just matching keywords. ReAct loop: the agent reasons, acts, observes, then reasons again. Break this cycle and your workflow fails silently. Planning vs execution: why agents that plan all steps upfront break on dynamic inputs, and why iterative planners survive production. Memory architecture: short-term context for the current task, long-term vector memory for patterns. Most automations fail because they confuse the two. Reflection: how agents catch their own errors by evaluating outputs against original intent before moving to the next step. Tool composition: why chaining 10 tools blindly creates cascading failures, and how to structure dependencies so one broken node doesn't kill the whole workflow. This is the foundation behind every automation that actually works. Not prompting tricks. Not "10 best AI tools" reels. Actual architecture. Follow Himanshu Kumar for more high-signal content that actually moves your skills forward. ↓ Your weekend plan. Tonight: watch the Stanford lecture. 1 hour. Saturday to Sunday: build 3 projects applying what you learned. Next 2 weekends: 6 more projects. 9 projects. 2 weeks. APIs, webhooks, LLM integration, real workflows. No theory. Just build. ↓ Stanford Agentic AI lecture: free on YouTube. Watch it this weekend or buy another $500 "AI automation course" in 2027 that teaches less than this one free lecture. Bookmark. Watch tonight. Follow Himanshu Kumar for more high-signal content that actually moves your skills forward.
56:54

Stanford professor just gave away the entire foundation of how AI Agents & automation actually works. 1-hour lecture. Tool calling. Multi-step workflows. Planning. Reflection. SAVE this to watch this before you open Netflix tonight. More valuable than 6 months of copying Make and n8n tutorials, for building Ai Agents Most people learn by copying tutorials blindly. Stanford teaches you WHY agents work the way they do. Follow Himanshu Kumar for more high-signal content that actually moves your skills forward instead of just entertaining you for 30 seconds. ↓ Why your automations keep breaking. You copied a Make tutorial. Built the exact workflow. Worked for a week. Then the API changed. The trigger failed. An edge case broke everything. You had no idea how to fix it. Because you never understood why it worked. You were copying keystrokes. The people shipping real automation were understanding architecture. ↓ What Stanford actually teaches. Tool calling: how an agent decides which tool to use by scoring each option against the current task state, not just matching keywords. ReAct loop: the agent reasons, acts, observes, then reasons again. Break this cycle and your workflow fails silently. Planning vs execution: why agents that plan all steps upfront break on dynamic inputs, and why iterative planners survive production. Memory architecture: short-term context for the current task, long-term vector memory for patterns. Most automations fail because they confuse the two. Reflection: how agents catch their own errors by evaluating outputs against original intent before moving to the next step. Tool composition: why chaining 10 tools blindly creates cascading failures, and how to structure dependencies so one broken node doesn't kill the whole workflow. This is the foundation behind every automation that actually works. Not prompting tricks. Not "10 best AI tools" reels. Actual architecture. Follow Himanshu Kumar for more high-signal content that actually moves your skills forward. ↓ Your weekend plan. Tonight: watch the Stanford lecture. 1 hour. Saturday to Sunday: build 3 projects applying what you learned. Next 2 weekends: 6 more projects. 9 projects. 2 weeks. APIs, webhooks, LLM integration, real workflows. No theory. Just build. ↓ Stanford Agentic AI lecture: free on YouTube. Watch it this weekend or buy another $500 "AI automation course" in 2027 that teaches less than this one free lecture. Bookmark. Watch tonight. Follow Himanshu Kumar for more high-signal content that actually moves your skills forward.

Himanshu Kumar

28,120 次观看 • 3 个月前

🧵1.🚨MORE EVIDENCE There is a VERY REAL color revolution happening right now on US soil guided by former federal employees including USAID and USIP and their national & international partners and mobilized by convenings like the 22nd Century Initiative conferences and the American Democracy Summit. Myself, Lisa Logan, and DataRepublican (small r) have been working together to show you how these groups are conspiring, who they are conspiring with and what they’re doing—both in the short & long-term—to try and overthrow the government, and change our economy & our Constitution. INTERNATIONAL TOOLS IN A DOMESTIC APPLICATION 🚫In this video, hear Marcia Mundt, previously with USAID and the US Institute of Peace (USIP) explicitly state that what she is doing now wasn’t allowed when she was employed by the government. ‼️She talks about how she’s using the Democracy Assessment Tool developed at USAID but is now applying it to the US. She goes on to say, “we were never allowed to analyze the United States in this way before, because there is like this big dividing line between foreign assistance work and domestic work.” 🛑 That “dividing line” is the differemce between “international government aid” to promote “democracy” in foreign countries vs. TREASONOUS SEDITION in the US (using tactics for instigating regime change in other countries to attempt to unseat a duly elected president in America). 🗣️Marcia says: “…this [Democracy Assessment Tool] was kind of helping us decide where we should be investing our resources around the world to bolster democracies or, you know, to stop backsliding… …And so I never really got to use it for a US context. But now that I no longer have a job, I CAN USE IT FOR WHATEVER I WANT… …And so I'm drawing on all of this expertise and feedback from folks around the world who have dealt with authoritarianism.” 🚨⚠️ 📊Now Marcia’s Democracy Assessment Tool is being used to measure the efficacy and impact of their strategically planned and coordinated events like the No Kings Day protests. 🪧 ❓What other ways are Marcia and her fellow conspirators in and outside the government using the experience and tactics gained abroad to focus their expertise on organizing a color revolution in the U.S.?…
2:30

🧵1.🚨MORE EVIDENCE There is a VERY REAL color revolution happening right now on US soil guided by former federal employees including USAID and USIP and their national & international partners and mobilized by convenings like the 22nd Century Initiative conferences and the American Democracy Summit. Myself, Lisa Logan, and DataRepublican (small r) have been working together to show you how these groups are conspiring, who they are conspiring with and what they’re doing—both in the short & long-term—to try and overthrow the government, and change our economy & our Constitution. INTERNATIONAL TOOLS IN A DOMESTIC APPLICATION 🚫In this video, hear Marcia Mundt, previously with USAID and the US Institute of Peace (USIP) explicitly state that what she is doing now wasn’t allowed when she was employed by the government. ‼️She talks about how she’s using the Democracy Assessment Tool developed at USAID but is now applying it to the US. She goes on to say, “we were never allowed to analyze the United States in this way before, because there is like this big dividing line between foreign assistance work and domestic work.” 🛑 That “dividing line” is the differemce between “international government aid” to promote “democracy” in foreign countries vs. TREASONOUS SEDITION in the US (using tactics for instigating regime change in other countries to attempt to unseat a duly elected president in America). 🗣️Marcia says: “…this [Democracy Assessment Tool] was kind of helping us decide where we should be investing our resources around the world to bolster democracies or, you know, to stop backsliding… …And so I never really got to use it for a US context. But now that I no longer have a job, I CAN USE IT FOR WHATEVER I WANT… …And so I'm drawing on all of this expertise and feedback from folks around the world who have dealt with authoritarianism.” 🚨⚠️ 📊Now Marcia’s Democracy Assessment Tool is being used to measure the efficacy and impact of their strategically planned and coordinated events like the No Kings Day protests. 🪧 ❓What other ways are Marcia and her fellow conspirators in and outside the government using the experience and tactics gained abroad to focus their expertise on organizing a color revolution in the U.S.?…

SKDoubleDub

152,297 次观看 • 5 个月前

gave my dad a polymarket tutorial on New Year's Eve he's 58, never used crypto in his life thought i was explaining how to lose money two months later he texts me a screenshot $34,200 profit "is this normal son?" /// new year's eve party at my parents house everyone drinking dad corners me in the kitchen "so what is it you actually do again?" third time explaining this year "prediction markets, betting on outcomes with AI bots" he laughs "sounds like a good way to go broke" /// i pull out my phone: show him my polymarket dashboard $67K profit last 6 weeks he stops laughing "wait that's real money?" "yeah" "how" /// i give him the 2-minute version: binance updates BTC price every 10 milliseconds polymarket updates every 500 milliseconds there's a gap bots exploit the gap "so it's like... front-running?" "basically yeah" he's interested now /// january 2nd: dad calls me "can you set me up with one of those bots?" "dad you don't know anything about crypto" "i know how to follow instructions" he's serious /// i go over to help: spend 3 hours setting everything up OpenClaw on his old desktop polymarket account $800 from his savings "just let it run, don't touch anything" "that's it?" "that's it" /// week 1: he calls me every day "it made another trade" "yeah that's what it does" "but i didn't do anything" "correct" "this feels illegal" "it's not, it's just fast" /// week 2: calls stop i text him "how's the bot?" "good" "how good?" "$4,100" wait what /// i drive over: he's in his office watching the terminal like it's the super bowl $800 → $4,100 in two weeks "dad are you... are you ok?" "this is better than my retirement account" he's not wrong /// week 4: he stops calling me starts texting screenshots instead $4,100 → $9,800 $9,800 → $14,200 $14,200 → $19,100 "dad you need to take some profits" "why" "risk management" "it hasn't lost a trade yet" he's becoming a degen in real-time /// week 8: valentine's day dinner my mom mentions something "your father's been acting weird" "how so?" "he keeps checking his computer during meals" "oh no" /// i text him: "mom says you're obsessed" "tell her i'm up $34K" "absolutely not" "fine but i am" /// yesterday: he texts me at 11 PM screenshot $34,200 total profit "is this normal son?" "no dad this is insane" "so should i stop?" "probably" "ok" 2 minutes later "i'm not stopping" /// this morning: my mom calls "your father wants to quit his job" "WHAT" "he showed me some computer thing with a lot of money" "how did he explain it?" "he said a robot makes him $800 per day while he sleeps" she's not wrong /// called dad: "you can't quit your job" "why not" "you've been doing this for 8 weeks" "and i made $34K, your mom made $0 at her job in 8 weeks" "that's not how this works" "the bot doesn't care how long i've been doing this" he has a point /// the evolution: january 1: "sounds like a scam" january 15: "it made another trade!" february 1: cautiously optimistic february 14: checking it at dinner march 1: "should i quit my job?" /// most 58-year-olds: - scared of technology - think crypto is a scam - planning retirement in 7 years - saving $500/month if lucky my dad: - running autonomous AI bot - $34K in 8 weeks - considering quitting his job - robot makes more than his salary /// he just texted again "talked to your uncle, he wants one too" oh god it's spreading /// copytrade before your dad outperforms you: should i talk him out of quitting or is he actually onto something?
0:25

gave my dad a polymarket tutorial on New Year's Eve he's 58, never used crypto in his life thought i was explaining how to lose money two months later he texts me a screenshot $34,200 profit "is this normal son?" /// new year's eve party at my parents house everyone drinking dad corners me in the kitchen "so what is it you actually do again?" third time explaining this year "prediction markets, betting on outcomes with AI bots" he laughs "sounds like a good way to go broke" /// i pull out my phone: show him my polymarket dashboard $67K profit last 6 weeks he stops laughing "wait that's real money?" "yeah" "how" /// i give him the 2-minute version: binance updates BTC price every 10 milliseconds polymarket updates every 500 milliseconds there's a gap bots exploit the gap "so it's like... front-running?" "basically yeah" he's interested now /// january 2nd: dad calls me "can you set me up with one of those bots?" "dad you don't know anything about crypto" "i know how to follow instructions" he's serious /// i go over to help: spend 3 hours setting everything up OpenClaw on his old desktop polymarket account $800 from his savings "just let it run, don't touch anything" "that's it?" "that's it" /// week 1: he calls me every day "it made another trade" "yeah that's what it does" "but i didn't do anything" "correct" "this feels illegal" "it's not, it's just fast" /// week 2: calls stop i text him "how's the bot?" "good" "how good?" "$4,100" wait what /// i drive over: he's in his office watching the terminal like it's the super bowl $800 → $4,100 in two weeks "dad are you... are you ok?" "this is better than my retirement account" he's not wrong /// week 4: he stops calling me starts texting screenshots instead $4,100 → $9,800 $9,800 → $14,200 $14,200 → $19,100 "dad you need to take some profits" "why" "risk management" "it hasn't lost a trade yet" he's becoming a degen in real-time /// week 8: valentine's day dinner my mom mentions something "your father's been acting weird" "how so?" "he keeps checking his computer during meals" "oh no" /// i text him: "mom says you're obsessed" "tell her i'm up $34K" "absolutely not" "fine but i am" /// yesterday: he texts me at 11 PM screenshot $34,200 total profit "is this normal son?" "no dad this is insane" "so should i stop?" "probably" "ok" 2 minutes later "i'm not stopping" /// this morning: my mom calls "your father wants to quit his job" "WHAT" "he showed me some computer thing with a lot of money" "how did he explain it?" "he said a robot makes him $800 per day while he sleeps" she's not wrong /// called dad: "you can't quit your job" "why not" "you've been doing this for 8 weeks" "and i made $34K, your mom made $0 at her job in 8 weeks" "that's not how this works" "the bot doesn't care how long i've been doing this" he has a point /// the evolution: january 1: "sounds like a scam" january 15: "it made another trade!" february 1: cautiously optimistic february 14: checking it at dinner march 1: "should i quit my job?" /// most 58-year-olds: - scared of technology - think crypto is a scam - planning retirement in 7 years - saving $500/month if lucky my dad: - running autonomous AI bot - $34K in 8 weeks - considering quitting his job - robot makes more than his salary /// he just texted again "talked to your uncle, he wants one too" oh god it's spreading /// copytrade before your dad outperforms you: should i talk him out of quitting or is he actually onto something?

ZER

12,783 次观看 • 5 个月前

Streetopia - Get Out Of Reet 🎬 Introducing the initial installment of an evolving tale brought to life by Generative AI. This captivating narrative has emerged from numerous poorman experiments and showcases the potential for an ongoing series of bite-sized episodes, each lasting under a minute. How I did do it? 1. All 3-4 shots of me are on green screen. 2. Backgrounds were created in a photo editor using stock pictures. Mostly stitched. Different aspect ratios. 3. I downloaded static 3D models & Animated models (greenscreen/alpha) and played with them in my motion graphics editor. Filled in some storefront windows with more videos. 4. Did some masking magic, camera movement, and played with layers and depth... for example, I masked the sky to add a storm and t-rex 🦖 5. Sent individual clips to Superstudio (in 4k) 6. Exported favorite renders (in 4k) and sent them to my video editor for choppin', sound design (poppin'), and voiceover (in 4k). See thread for examples. Challenges: • I wish I had a treadmill to actually look like I'm walking. • I was lucky with frame consistency. Except for the wide shot that fuzzed my face (me on the couch). I re-did the shot on Kaiber in a close-up and manually key-framed my face on that wide shot. • I couldn't do much about the buggy eyes in the last clip. • No butterflies were harmed in this video. How long did it take: • A day and a half with tons of happy accidents • How long will it take you? Probably much longer if you don't know how to shoot, edit, design, composite, edit sound, or know where to look for assets. But it's not impossible! What's the plan? To continue the story while still learning and experimenting along the way. This is a much longer process. Very tiring. Might try doing it weekly or bi-weekly. What's the story about? In the quest to escape Reet, everyone yearns for freedom. Ricardo, however, carries a hint of cynicism. He finds pleasure in the disorder and may seem reluctant to lend a hand. Nevertheless, the encounters with diverse characters along his odyssey will ignite a transformation within him, although not without challenges. Gradually, he will come to realize the profound truth: "Helping others is away is a way of helping ourselves." HQ Video: #GenerativeAI #ArtistOnTwitter #aiartcommunity #AIArtistCommunity #video2video
0:41

Streetopia - Get Out Of Reet 🎬 Introducing the initial installment of an evolving tale brought to life by Generative AI. This captivating narrative has emerged from numerous poorman experiments and showcases the potential for an ongoing series of bite-sized episodes, each lasting under a minute. How I did do it? 1. All 3-4 shots of me are on green screen. 2. Backgrounds were created in a photo editor using stock pictures. Mostly stitched. Different aspect ratios. 3. I downloaded static 3D models & Animated models (greenscreen/alpha) and played with them in my motion graphics editor. Filled in some storefront windows with more videos. 4. Did some masking magic, camera movement, and played with layers and depth... for example, I masked the sky to add a storm and t-rex 🦖 5. Sent individual clips to Superstudio (in 4k) 6. Exported favorite renders (in 4k) and sent them to my video editor for choppin', sound design (poppin'), and voiceover (in 4k). See thread for examples. Challenges: • I wish I had a treadmill to actually look like I'm walking. • I was lucky with frame consistency. Except for the wide shot that fuzzed my face (me on the couch). I re-did the shot on Kaiber in a close-up and manually key-framed my face on that wide shot. • I couldn't do much about the buggy eyes in the last clip. • No butterflies were harmed in this video. How long did it take: • A day and a half with tons of happy accidents • How long will it take you? Probably much longer if you don't know how to shoot, edit, design, composite, edit sound, or know where to look for assets. But it's not impossible! What's the plan? To continue the story while still learning and experimenting along the way. This is a much longer process. Very tiring. Might try doing it weekly or bi-weekly. What's the story about? In the quest to escape Reet, everyone yearns for freedom. Ricardo, however, carries a hint of cynicism. He finds pleasure in the disorder and may seem reluctant to lend a hand. Nevertheless, the encounters with diverse characters along his odyssey will ignite a transformation within him, although not without challenges. Gradually, he will come to realize the profound truth: "Helping others is away is a way of helping ourselves." HQ Video: #GenerativeAI #ArtistOnTwitter #aiartcommunity #AIArtistCommunity #video2video

Sway Molina

49,677 次观看 • 3 年前

3 steps story. I gave Claude $40 and it made me $8,409 in a week on Polymarket I typed a prompt. Claude wrote the bot. I funded it. $40 in. $8,409 out. 7 days. Someone else did the same thing and turned it into $294,127 in 26 days. And the prompt I used is something I've never shared publicly. Until now. This bro is a great example of how MY system looks at a scale: Profile → 0x0006af12cd4dacc450836a0e1ec6ce47365d8c63 $294,127.72 all-time. 2,226 predictions. $14,800 biggest win. Joined March 2026. 26.9K views. Still mostly unwatched. While I was developing my own script I copytraded this AI to see how profitable this strategy is, made $520 from my $10 lol Copytrade here: And every single position is the same structure. "ETH Up or Down - March 7, 11:45AM" → $1,895 in → $16,695 out +780% "BTC Up or Down - March 21, 11:20PM" → $1,186 in → $11,919 out. +904% This isn't trading. It's one equation running on loop while you sleep. Here's exactly what I typed into Claude: The prompt had 4 instructions: 1. Map temporal bias windows "Analyze 24 months of BTC and ETH hourly data. Find which specific time windows have statistically significant directional bias above 65%. Ignore all other windows." The crowd prices every window as 50/50. They're not. Claude found the ones that aren't. 2. Build Kelly sizing "Size each position using fractional Kelly. Scale conviction to statistical confidence. Never flat-size. " f* = (p × b - q) / b That's why entries look random - $259, $886, $25,002. They're not random. They're mathematically weighted. 3. Add a volatility filter "Skip any window where 24h realized volatility exceeds 1.4x the 30-day average. Patterns break in chaos." The bot doesn't fire blindly. It waits for clean mathematical conditions. 4. Bayesian self-updating "After each settled trade, update win probability for that window. The model sharpens itself." Every loss makes the next trade smarter. Every win increases conviction. Claude wrote the entire execution script in 23 minutes. I funded it with $40. It placed its first trade 4 minutes later. $40 → $8,409. One week. The wallet above ran the same logic for 26 days → $294,127. This wallet had 26.9K views before this post. Tomorrow it'll have 10x that. The people who moved first always win. Always. FOLLOW while this is still a quiet room.
0:23

3 steps story. I gave Claude $40 and it made me $8,409 in a week on Polymarket I typed a prompt. Claude wrote the bot. I funded it. $40 in. $8,409 out. 7 days. Someone else did the same thing and turned it into $294,127 in 26 days. And the prompt I used is something I've never shared publicly. Until now. This bro is a great example of how MY system looks at a scale: Profile → 0x0006af12cd4dacc450836a0e1ec6ce47365d8c63 $294,127.72 all-time. 2,226 predictions. $14,800 biggest win. Joined March 2026. 26.9K views. Still mostly unwatched. While I was developing my own script I copytraded this AI to see how profitable this strategy is, made $520 from my $10 lol Copytrade here: And every single position is the same structure. "ETH Up or Down - March 7, 11:45AM" → $1,895 in → $16,695 out +780% "BTC Up or Down - March 21, 11:20PM" → $1,186 in → $11,919 out. +904% This isn't trading. It's one equation running on loop while you sleep. Here's exactly what I typed into Claude: The prompt had 4 instructions: 1. Map temporal bias windows "Analyze 24 months of BTC and ETH hourly data. Find which specific time windows have statistically significant directional bias above 65%. Ignore all other windows." The crowd prices every window as 50/50. They're not. Claude found the ones that aren't. 2. Build Kelly sizing "Size each position using fractional Kelly. Scale conviction to statistical confidence. Never flat-size. " f* = (p × b - q) / b That's why entries look random - $259, $886, $25,002. They're not random. They're mathematically weighted. 3. Add a volatility filter "Skip any window where 24h realized volatility exceeds 1.4x the 30-day average. Patterns break in chaos." The bot doesn't fire blindly. It waits for clean mathematical conditions. 4. Bayesian self-updating "After each settled trade, update win probability for that window. The model sharpens itself." Every loss makes the next trade smarter. Every win increases conviction. Claude wrote the entire execution script in 23 minutes. I funded it with $40. It placed its first trade 4 minutes later. $40 → $8,409. One week. The wallet above ran the same logic for 26 days → $294,127. This wallet had 26.9K views before this post. Tomorrow it'll have 10x that. The people who moved first always win. Always. FOLLOW while this is still a quiet room.

Frogify

19,940 次观看 • 4 个月前