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I built my own charting platform with Claude Fable, and it does a few things Tradingview straight up can't.. I call it EchoCharts.. so what it basically does is 1) Echoes: this is the big one. it takes the exact shape price action is forming right now them scans...

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Axel Bitblaze 🪓

128,150 subscribers

54,755 次观看 • 25 天前 •via X (Twitter)

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Using Claude Fable 5, I built a model that predicts the entire 2026 FIFA world cup.. every single game, not just the final.. so let me break the whole thing down. what it does, how it works, and exactly how i built it.. #1 First what it does: it predicts all 104 games of the tournament. not just who lifts the trophy, but every group match, every knockout, the full path from the round of 32 to the final.. everything lands in one dashboard: > group stage, every match with each team's win % and the chance of a draw > standings, how all 12 groups are projected to finish > bracket, the full knockout tree with each team's odds of advancing > champion odds, who's most likely to actually win it all and it doesn't freeze after one prediction. the moment a real game is played, it locks that result in and re-runs everything around it. so the odds move live as the tournament goes, week by week you watch favorites rise and contenders collapse. #2. How it works: the core idea is simple. the model only ever predicts one thing, a single match. the real trick is the repetition. it learns from decades of match history, then plays the whole tournament out from the first game to the final, tens of thousands of times. each run it records who advanced and who won. do that enough and you stop getting one guess and start getting real odds, one team lifts the trophy in maybe 14% of the runs, another in 9%, and so on. #3. So, how i built it ? i didn't hand-write most of the code. i broke the project into 4 pieces, described each one to fable, and let it build while i focused on getting the football logic exactly right. - The data every international match going back over a century, around 50,000 games, plus each team's elo rating, which is the truest measure of strength, and the official 2026 schedule. garbage data means garbage predictions, so this part mattered most. - The features i turned that raw history into signals the model can learn from, the elo gap between the two teams, recent form, goals scored and conceded, and a home boost for the hosts, usa, canada and mexico. - The model for each match it predicts the expected goals for both sides, then turns that into win, draw and loss probabilities plus a likely scoreline. that's what feeds the simulation. - The tournament engine this was the hard part. the 2026 world cup is brand new, 48 teams, 12 groups, a round of 32 that's never existed before, and 8 "best third-placed" teams that slot into the bracket by a fixed fifa table. even the group tiebreakers changed this year, head to head now counts before goal difference. get any of it wrong and the whole bracket falls apart, so i built it carefully and tested the format until it was exact, then wrapped it in a simulation loop that plays the tournament out tens of thousands of times. and the last piece, the live part. as real results come in, they get locked, and only the unplayed games get re-simulated. that's what makes it a living model instead of a one-time prediction. all of it outputs to a clean dashboard you can actually read and screenshot.. right now, before kickoff, it already has a clear favorite to lift the trophy.. 👀 btw who's your pick to win the 2026 world cup?
0:20

Using Claude Fable 5, I built a model that predicts the entire 2026 FIFA world cup.. every single game, not just the final.. so let me break the whole thing down. what it does, how it works, and exactly how i built it.. #1 First what it does: it predicts all 104 games of the tournament. not just who lifts the trophy, but every group match, every knockout, the full path from the round of 32 to the final.. everything lands in one dashboard: > group stage, every match with each team's win % and the chance of a draw > standings, how all 12 groups are projected to finish > bracket, the full knockout tree with each team's odds of advancing > champion odds, who's most likely to actually win it all and it doesn't freeze after one prediction. the moment a real game is played, it locks that result in and re-runs everything around it. so the odds move live as the tournament goes, week by week you watch favorites rise and contenders collapse. #2. How it works: the core idea is simple. the model only ever predicts one thing, a single match. the real trick is the repetition. it learns from decades of match history, then plays the whole tournament out from the first game to the final, tens of thousands of times. each run it records who advanced and who won. do that enough and you stop getting one guess and start getting real odds, one team lifts the trophy in maybe 14% of the runs, another in 9%, and so on. #3. So, how i built it ? i didn't hand-write most of the code. i broke the project into 4 pieces, described each one to fable, and let it build while i focused on getting the football logic exactly right. - The data every international match going back over a century, around 50,000 games, plus each team's elo rating, which is the truest measure of strength, and the official 2026 schedule. garbage data means garbage predictions, so this part mattered most. - The features i turned that raw history into signals the model can learn from, the elo gap between the two teams, recent form, goals scored and conceded, and a home boost for the hosts, usa, canada and mexico. - The model for each match it predicts the expected goals for both sides, then turns that into win, draw and loss probabilities plus a likely scoreline. that's what feeds the simulation. - The tournament engine this was the hard part. the 2026 world cup is brand new, 48 teams, 12 groups, a round of 32 that's never existed before, and 8 "best third-placed" teams that slot into the bracket by a fixed fifa table. even the group tiebreakers changed this year, head to head now counts before goal difference. get any of it wrong and the whole bracket falls apart, so i built it carefully and tested the format until it was exact, then wrapped it in a simulation loop that plays the tournament out tens of thousands of times. and the last piece, the live part. as real results come in, they get locked, and only the unplayed games get re-simulated. that's what makes it a living model instead of a one-time prediction. all of it outputs to a clean dashboard you can actually read and screenshot.. right now, before kickoff, it already has a clear favorite to lift the trophy.. 👀 btw who's your pick to win the 2026 world cup?

Axel Bitblaze 🪓

49,714 次观看 • 26 天前

Qullamaggie on Buying Near the Moving Averages “You want to buy them near the moving averages. One thing you will find is the best breakouts pretty much all the great breakouts happen from where when the price is at the 10 or the 20 moving average. That’s one of the first things you will notice. I bought SPCE two days ago but you know I shouldn’t have done that. Sometimes FOMO gets the best of me. But now the moving averages are starting to catch up and look how clean of a move it is. Had one leg higher and now it’s digesting with higher lows. Compare it to IDEX - it’s hard to explain, like you need to do the work and you will see it for yourself. You will learn how to identify a good setup. But the key is the 10 day and and or the 20-day needs to catch up the price. MSTR where did I buy it? I bought it here when it flagged showed relative strength and the moving averages caught up to price.”
2:53

Qullamaggie on Buying Near the Moving Averages “You want to buy them near the moving averages. One thing you will find is the best breakouts pretty much all the great breakouts happen from where when the price is at the 10 or the 20 moving average. That’s one of the first things you will notice. I bought SPCE two days ago but you know I shouldn’t have done that. Sometimes FOMO gets the best of me. But now the moving averages are starting to catch up and look how clean of a move it is. Had one leg higher and now it’s digesting with higher lows. Compare it to IDEX - it’s hard to explain, like you need to do the work and you will see it for yourself. You will learn how to identify a good setup. But the key is the 10 day and and or the 20-day needs to catch up the price. MSTR where did I buy it? I bought it here when it flagged showed relative strength and the moving averages caught up to price.”

Lone

30,588 次观看 • 11 个月前

US export-control disable Claude Fable 5 overnight. Not for what it said - for what one trader did with it. He turned an $11,000 wreck into $300,000 profit in five days. Then they pulled Claude Fable 5 from public hands. Too late - his bot's still running. His wallet: Every other Claude model still works. The two best ones don't. Anthropic's calling it a misunderstanding. Maybe. But think about what gets a model killed by export control overnight, no warning. Here's what Fable 5 actually did for him. It doesn't predict price. It computes the whole probability surface of a market - every outcome, weighted, faster than the market can correct itself. It finds the bets the crowd writes off as impossible, runs the real math, and buys them for pennies when the math disagrees. One of those just paid x205. A regular guy, a model this sharp, a market no regulator polices. They closed that door overnight - one night too late. He's holding one of the last builds that ever touched a live market. It's still on Polymarket right now, hunting the same mispriced tails. Fable 5 is locked. The algorithm it wrote is loose. You can't open the model anymore. You can still copy the wallet it built in two clicks:
0:46

US export-control disable Claude Fable 5 overnight. Not for what it said - for what one trader did with it. He turned an $11,000 wreck into $300,000 profit in five days. Then they pulled Claude Fable 5 from public hands. Too late - his bot's still running. His wallet: Every other Claude model still works. The two best ones don't. Anthropic's calling it a misunderstanding. Maybe. But think about what gets a model killed by export control overnight, no warning. Here's what Fable 5 actually did for him. It doesn't predict price. It computes the whole probability surface of a market - every outcome, weighted, faster than the market can correct itself. It finds the bets the crowd writes off as impossible, runs the real math, and buys them for pennies when the math disagrees. One of those just paid x205. A regular guy, a model this sharp, a market no regulator polices. They closed that door overnight - one night too late. He's holding one of the last builds that ever touched a live market. It's still on Polymarket right now, hunting the same mispriced tails. Fable 5 is locked. The algorithm it wrote is loose. You can't open the model anymore. You can still copy the wallet it built in two clicks:

cvxv666

77,026 次观看 • 23 天前

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.
1:16

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

The All-In Podcast

80,524 次观看 • 5 个月前

Mark Cuban explains how he pulled off one of Wall Street’s greatest trades “When Yahoo offered us $5.7B in stock, I couldn’t sell it for six months” “So what I did was I took every penny that I had and shorted the internet index as protection, basically taking insurance out in case the internet bubble popped” “When I was allowed to sell it, because I couldn’t sell it all at once, it would just crater the market, so I did something called a hedge” “What the hedge is, you can sell options. So I sold call options, which gave somebody else the right to buy my shares at a higher price in the future” “I took that money and used it to buy puts, which protected me in case the price of my stock went down” “When it popped, I actually made more money. It was called one of the top 10 trades in Wall Street history”
1:20

Mark Cuban explains how he pulled off one of Wall Street’s greatest trades “When Yahoo offered us $5.7B in stock, I couldn’t sell it for six months” “So what I did was I took every penny that I had and shorted the internet index as protection, basically taking insurance out in case the internet bubble popped” “When I was allowed to sell it, because I couldn’t sell it all at once, it would just crater the market, so I did something called a hedge” “What the hedge is, you can sell options. So I sold call options, which gave somebody else the right to buy my shares at a higher price in the future” “I took that money and used it to buy puts, which protected me in case the price of my stock went down” “When it popped, I actually made more money. It was called one of the top 10 trades in Wall Street history”

Jack

8,983,192 次观看 • 1 个月前

I remember the day I posted about poroporo tea for anemia and my comment section was filled with them shouting “call it by the right name” “call it what it is”. Mind you, this is a market in Lagos. The overall unseriousness irks me so much.
0:22

I remember the day I posted about poroporo tea for anemia and my comment section was filled with them shouting “call it by the right name” “call it what it is”. Mind you, this is a market in Lagos. The overall unseriousness irks me so much.

9jafoodie

38,313 次观看 • 3 个月前

In what kind of a genocide does the enemy call you on the phone, to tell you the exact spot and the exact time it is about to attack, so you can stay away and not get hurt ? Did any other army in history, warn the enemy's civilians like Israel does ? I don't think so. Share the truth with the world !🙏🇮🇱✡️ #IDFHeroes #Gaza
1:03

In what kind of a genocide does the enemy call you on the phone, to tell you the exact spot and the exact time it is about to attack, so you can stay away and not get hurt ? Did any other army in history, warn the enemy's civilians like Israel does ? I don't think so. Share the truth with the world !🙏🇮🇱✡️ #IDFHeroes #Gaza

The Voice Of Truth 🙌

11,982 次观看 • 9 个月前

NEW: President Trump says the White House ballroom will be the future site of events like the White House Correspondents Dinner. Trump says you need "everything" when it comes to security: "It's really what you need. I mean, you can't have a thousand rooms. It is a very big hotel on top of the ballroom. And people come down in the elevator and they're right next to the ballroom. "Military and Secret Service have wanted it for many years, and I'm getting it built. And, the one good thing is that now everybody knows how badly needed it is."
1:58

NEW: President Trump says the White House ballroom will be the future site of events like the White House Correspondents Dinner. Trump says you need "everything" when it comes to security: "It's really what you need. I mean, you can't have a thousand rooms. It is a very big hotel on top of the ballroom. And people come down in the elevator and they're right next to the ballroom. "Military and Secret Service have wanted it for many years, and I'm getting it built. And, the one good thing is that now everybody knows how badly needed it is."

Fox News

206,232 次观看 • 2 个月前

How I have Claude automate anything I do on my computer just by showing it: I use the free Clips app and hit record to start recording. Then I just do the action - like navigating to Rippling and approving any unapproved time off - and I’ll often just talk out loud as I do it explaining any add’l details like I would when showing a human. The Clips app captures everything on your screen and everything you say, and transforms it into a format Claude can “see and hear”. You'll then get a link that you can easily share with Claude (or humans too). I’ll paste it to Claude and say something like, "automate this for me every day at 8:00 AM." The link has special metadata that agents like Claude can discover. It exposes APIs to see the full transcript with timestamps and grab screenshots of what was on your screen at any of those timestamps. Once it's created the routine, you can go to the Routines tab in Claude Code desktop app. This also works with the CLI, Claude Cowork, Codex etc. You’ll see your new routine there, and you can just hit Run Now to have it start running it. Video attached shows this step by step. The Clips apps is free and open source - I’ll link to it and the source code in the thread.
1:54

How I have Claude automate anything I do on my computer just by showing it: I use the free Clips app and hit record to start recording. Then I just do the action - like navigating to Rippling and approving any unapproved time off - and I’ll often just talk out loud as I do it explaining any add’l details like I would when showing a human. The Clips app captures everything on your screen and everything you say, and transforms it into a format Claude can “see and hear”. You'll then get a link that you can easily share with Claude (or humans too). I’ll paste it to Claude and say something like, "automate this for me every day at 8:00 AM." The link has special metadata that agents like Claude can discover. It exposes APIs to see the full transcript with timestamps and grab screenshots of what was on your screen at any of those timestamps. Once it's created the routine, you can go to the Routines tab in Claude Code desktop app. This also works with the CLI, Claude Cowork, Codex etc. You’ll see your new routine there, and you can just hit Run Now to have it start running it. Video attached shows this step by step. The Clips apps is free and open source - I’ll link to it and the source code in the thread.

Steve (Builder.io)

24,787 次观看 • 8 天前

we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality
0:21

we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality

۟

23,017 次观看 • 2 个月前

THIS GUY CONNECTED CLAUDE TO TRADINGVIEW AND CUT 200+ HOURS OF MANUAL CHART WORK 40 trades a week used to mean the same loop: open the chart, check RSI, compare EMA, write notes and wait for the next setup now Claude reads TradingView 24/7, tracks volume, indicators and price conditions while he is not even at the desk this is not a $20k trading terminal and not a quant fund setup, just one laptop, one chart and one strategy written in plain English the crazy part is not that Claude predicts the market, it is that a regular trader can remove the boring human loop from every setup ↓
0:26

THIS GUY CONNECTED CLAUDE TO TRADINGVIEW AND CUT 200+ HOURS OF MANUAL CHART WORK 40 trades a week used to mean the same loop: open the chart, check RSI, compare EMA, write notes and wait for the next setup now Claude reads TradingView 24/7, tracks volume, indicators and price conditions while he is not even at the desk this is not a $20k trading terminal and not a quant fund setup, just one laptop, one chart and one strategy written in plain English the crazy part is not that Claude predicts the market, it is that a regular trader can remove the boring human loop from every setup ↓

Gipp 🦅

55,377 次观看 • 27 天前

As the market improves, the number of setups and breakouts also increases. And when too many stocks start moving at once, it becomes very hard to track everything properly. One of the best ways to tackle this “problem of plenty” is by having a well organized watchlist. In this video, I have shared how you can create a clean and structured watchlist in TradingView so you can stay organized before your trading day begins. Watch it and learn a thing or two.
13:52

As the market improves, the number of setups and breakouts also increases. And when too many stocks start moving at once, it becomes very hard to track everything properly. One of the best ways to tackle this “problem of plenty” is by having a well organized watchlist. In this video, I have shared how you can create a clean and structured watchlist in TradingView so you can stay organized before your trading day begins. Watch it and learn a thing or two.

Ankur Patel

10,604 次观看 • 1 个月前

Quentin Tarantino says the biggest difference between TV shows and movies is that great films stay with you for life. “Everyone talks about how great television is now, and I agree, a lot of it is really good.” “But at the end of the day, it’s still television to me.” “I watched Yellowstone and thought it was fantastic.” “Kevin Costner was great, the writing was strong, and I got completely caught up in it.” “But after a few seasons, I realized it was still basically a soap opera.” “You learn everyone’s backstory, their relationships, and then you just follow what happens next.” “You become invested in the characters.” “That doesn’t mean it’s the same thing as a great movie.” “With television, you get caught up in the drama of the moment.” “But five years later, you usually don’t remember much of it.” “A great movie is different.” “You remember the story.” “You remember specific scenes.” “You remember how it made you feel.” “It builds toward an emotional climax that stays with you for the rest of your life.”
2:31

Quentin Tarantino says the biggest difference between TV shows and movies is that great films stay with you for life. “Everyone talks about how great television is now, and I agree, a lot of it is really good.” “But at the end of the day, it’s still television to me.” “I watched Yellowstone and thought it was fantastic.” “Kevin Costner was great, the writing was strong, and I got completely caught up in it.” “But after a few seasons, I realized it was still basically a soap opera.” “You learn everyone’s backstory, their relationships, and then you just follow what happens next.” “You become invested in the characters.” “That doesn’t mean it’s the same thing as a great movie.” “With television, you get caught up in the drama of the moment.” “But five years later, you usually don’t remember much of it.” “A great movie is different.” “You remember the story.” “You remember specific scenes.” “You remember how it made you feel.” “It builds toward an emotional climax that stays with you for the rest of your life.”

KΞRL_✂️

195,060 次观看 • 21 天前

“Because I think a lot of people are familiar with you know, pop stars have these alter egos on stage and then they're also a little bit potentially different behind the scenes. Can you talk about what the difference is between those two personas?” ROSÉ: I think, you know, like I started off as, my whole career started as Blackpink and I feel like it was so much fun creating this character on stage because I'm just from like Australia, like in my bedroom, but like it was so much fun creating this like pop star, like character. It was so much fun. And then I think creating my first solo album, it was my discover of like, you know, who am I? And like when I was naming the album, I really thought a lot about it. There was like options like, you know, number one girl. And then a lot of people did like, what about Rosie? And at first I was like, it seems a bit like narcissistic. I'm not sure. And then it slowly grew on me. And then, you know, just the idea of it being Rosie because Rosé has been such a big part of my life. And that's what we present ourselves as Blackpink, Blackpink Rosé. And I felt like this was very opposite. And so I noticed that it was closer to kind of introducing a different version of me, like because it combined all the stories I would talk about with my friends and family. And they call me Rosie at home. And of course, the online name that the company had made for me from at the beginning of Blackpink, I remember when it happened was like the day before they released my picture, profile picture, they were like, Rosé. And like the name got announced.
2:55

“Because I think a lot of people are familiar with you know, pop stars have these alter egos on stage and then they're also a little bit potentially different behind the scenes. Can you talk about what the difference is between those two personas?” ROSÉ: I think, you know, like I started off as, my whole career started as Blackpink and I feel like it was so much fun creating this character on stage because I'm just from like Australia, like in my bedroom, but like it was so much fun creating this like pop star, like character. It was so much fun. And then I think creating my first solo album, it was my discover of like, you know, who am I? And like when I was naming the album, I really thought a lot about it. There was like options like, you know, number one girl. And then a lot of people did like, what about Rosie? And at first I was like, it seems a bit like narcissistic. I'm not sure. And then it slowly grew on me. And then, you know, just the idea of it being Rosie because Rosé has been such a big part of my life. And that's what we present ourselves as Blackpink, Blackpink Rosé. And I felt like this was very opposite. And so I noticed that it was closer to kind of introducing a different version of me, like because it combined all the stories I would talk about with my friends and family. And they call me Rosie at home. And of course, the online name that the company had made for me from at the beginning of Blackpink, I remember when it happened was like the day before they released my picture, profile picture, they were like, Rosé. And like the name got announced.

rosie

47,583 次观看 • 5 个月前

Notch Clips. every other ad tool ignores the footage sitting in your dropbox and generates new clips from a prompt. notch opens your library instead. it watches every clip you have ever shot and understands what is inside each one. the mood. who is in frame. what they are doing. the quality. so when you ask it to build an ad, it does not start from scratch. it reaches into your past shoots, finds the clip that fits, and slots it into the exact moment that needs it. here is what that looks like. you had thirteen versions of one reaction shot. notch picked the one that worked and left the other twelve. not by filename. not by guessing from a reference image. it watched all thirteen and could tell the difference. that is the whole idea. the right clip was already in your library. every other tool was about to make a worse one. footage you already shot, turned into every ad you still need. drop your site and a few clips you have. notch builds the first ad from them.
0:40

Notch Clips. every other ad tool ignores the footage sitting in your dropbox and generates new clips from a prompt. notch opens your library instead. it watches every clip you have ever shot and understands what is inside each one. the mood. who is in frame. what they are doing. the quality. so when you ask it to build an ad, it does not start from scratch. it reaches into your past shoots, finds the clip that fits, and slots it into the exact moment that needs it. here is what that looks like. you had thirteen versions of one reaction shot. notch picked the one that worked and left the other twelve. not by filename. not by guessing from a reference image. it watched all thirteen and could tell the difference. that is the whole idea. the right clip was already in your library. every other tool was about to make a worse one. footage you already shot, turned into every ad you still need. drop your site and a few clips you have. notch builds the first ad from them.

Vinay Jain

406,286 次观看 • 1 个月前

Q: “Because I think a lot of people are familiar with, you know, pop stars have these alter egos on stage and then they're also a little bit potentially different behind the scenes. Can you talk about what the difference is between those two personas?” ROSÉ: “I think, you know, like I started off as, my whole career started as Blackpink and I feel like it was so much fun creating this character on stage because I'm just from like Australia, like in my bedroom, but like it was so much fun creating this like pop star, like character. It was so much fun. And then I think creating my first solo album, it was my discover of like, you know, who am I? And like when I was naming the album, I really thought a lot about it. There was like options like, you know, number one girl. And then a lot of people did like, what about Rosie? And at first I was like, it seems a bit like narcissistic. ..I'm not sure. And then it slowly grew on me. And then, you know, just the idea of it being Rosie because Rosé has been such a big part of my life. And that's what we present ourselves as Blackpink, Blackpink Rosé. And I felt like this was very opposite. And so I noticed that it was closer to kind of introducing a different version of me, like because it combined all the stories I would talk about with my friends and family. And they call me Rosie at home. And of course, the online name that the company had made for me from at the beginning of Blackpink, I remember when it happened was like the day before they released my picture, profile picture, they were like, Rosé. And like the name got announced.”
2:59

Q: “Because I think a lot of people are familiar with, you know, pop stars have these alter egos on stage and then they're also a little bit potentially different behind the scenes. Can you talk about what the difference is between those two personas?” ROSÉ: “I think, you know, like I started off as, my whole career started as Blackpink and I feel like it was so much fun creating this character on stage because I'm just from like Australia, like in my bedroom, but like it was so much fun creating this like pop star, like character. It was so much fun. And then I think creating my first solo album, it was my discover of like, you know, who am I? And like when I was naming the album, I really thought a lot about it. There was like options like, you know, number one girl. And then a lot of people did like, what about Rosie? And at first I was like, it seems a bit like narcissistic. ..I'm not sure. And then it slowly grew on me. And then, you know, just the idea of it being Rosie because Rosé has been such a big part of my life. And that's what we present ourselves as Blackpink, Blackpink Rosé. And I felt like this was very opposite. And so I noticed that it was closer to kind of introducing a different version of me, like because it combined all the stories I would talk about with my friends and family. And they call me Rosie at home. And of course, the online name that the company had made for me from at the beginning of Blackpink, I remember when it happened was like the day before they released my picture, profile picture, they were like, Rosé. And like the name got announced.”

hiro

35,872 次观看 • 5 个月前

The Get Out Reframe Free yourself from endless negative thoughts by saying, "Get out" Try it just once and see how it works Scott Adams "There's a part of you that lives only in your head, where you think about the past, which literally doesn't exist. It's imaginary. It existed at one point, but now it's just the thoughts of the past. You also have thoughts of what will happen in the future. And that doesn't exist. So the life you live in your head is a completely imaginary one."
5:12

The Get Out Reframe Free yourself from endless negative thoughts by saying, "Get out" Try it just once and see how it works Scott Adams "There's a part of you that lives only in your head, where you think about the past, which literally doesn't exist. It's imaginary. It existed at one point, but now it's just the thoughts of the past. You also have thoughts of what will happen in the future. And that doesn't exist. So the life you live in your head is a completely imaginary one."

jay plemons

197,627 次观看 • 8 个月前

I PREDICTED SOMETHING WOULD HAPPEN TO CHARLIE 2 MONTHS AGO. Many of us saw the writing on the wall and as all of this has been coming out… And This is EXACTLY why many of us are so loud about it now and trying to figure this out… But, with everything that’s happened, it made me go back and watch the live stream I did covering the debate that Charlie hosted at TPUSA with Dave Smith & Josh Hammer…. This is what I said in the first 5 mins of the stream. The rest is available and you can watch it as it is VERY interesting given everything that has happened. Pay close attention to demeanor, mannerisms of a certain individual, the “curiosity” that was so present and the overall message that was put on the main stage at that event… What was said on that stage was VERY dangerous. When you study and understand the past, it gives you the ability to understand the present much better than most and sometimes… it also gives you the ability to predict the future. But the truth is no one really knows what happened and at the end of the day… I’m just a conspiracy theorist.
3:57

I PREDICTED SOMETHING WOULD HAPPEN TO CHARLIE 2 MONTHS AGO. Many of us saw the writing on the wall and as all of this has been coming out… And This is EXACTLY why many of us are so loud about it now and trying to figure this out… But, with everything that’s happened, it made me go back and watch the live stream I did covering the debate that Charlie hosted at TPUSA with Dave Smith & Josh Hammer…. This is what I said in the first 5 mins of the stream. The rest is available and you can watch it as it is VERY interesting given everything that has happened. Pay close attention to demeanor, mannerisms of a certain individual, the “curiosity” that was so present and the overall message that was put on the main stage at that event… What was said on that stage was VERY dangerous. When you study and understand the past, it gives you the ability to understand the present much better than most and sometimes… it also gives you the ability to predict the future. But the truth is no one really knows what happened and at the end of the day… I’m just a conspiracy theorist.

Ian

67,537 次观看 • 9 个月前

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch
35:25

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

GREG ISENBERG

192,483 次观看 • 3 个月前

Rick Rubin on being addicted to the miracle of creation: “I like the moment of revelation. So we're working on something and it's just okay. It's boring. I'd rather not be there. That's how it feels. But then something happens and it's like magic. Something appears. It's not like we made it. Something comes up in the process. It's conjured in the process. It’s like a miracle and that's the thing that's addictive. That feeling when it's like it's not good, it's not good, it's not good, it's not good. We try something and it doesn't work. Try something else and it doesn't work. But then all of the sudden what we're listening to is really cool. That's the [addictive] feeling, that moment of discovery where it goes from nothing to something really good. And then the whole rest of the process after that is protecting that because it's super delicate. When it happens it's like this miracle happened and this magic thing happened and now we have to protect it through the rest of the process to not ruin it. It's scary because you don't want it to end. You don't want it to stop because we know if it stops, we can't control it. We can't do it again. It's not like that. It's this moment in time where something magical happens. So we spend a lot of time waiting and I can't say that's fun. Waiting is not fun.”
1:44

Rick Rubin on being addicted to the miracle of creation: “I like the moment of revelation. So we're working on something and it's just okay. It's boring. I'd rather not be there. That's how it feels. But then something happens and it's like magic. Something appears. It's not like we made it. Something comes up in the process. It's conjured in the process. It’s like a miracle and that's the thing that's addictive. That feeling when it's like it's not good, it's not good, it's not good, it's not good. We try something and it doesn't work. Try something else and it doesn't work. But then all of the sudden what we're listening to is really cool. That's the [addictive] feeling, that moment of discovery where it goes from nothing to something really good. And then the whole rest of the process after that is protecting that because it's super delicate. When it happens it's like this miracle happened and this magic thing happened and now we have to protect it through the rest of the process to not ruin it. It's scary because you don't want it to end. You don't want it to stop because we know if it stops, we can't control it. We can't do it again. It's not like that. It's this moment in time where something magical happens. So we spend a lot of time waiting and I can't say that's fun. Waiting is not fun.”

David Senra

12,759 次观看 • 1 个月前