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One dev spent $200 on AI and turned it into $100K. 22 year old Indian developer built GTA India. 20,326 copies sold at $5 each. Forget shootouts, the missions are wedding logistics. Hijack the limo convoy, fend off the rival family, get the bride to the temple on time.... show more

wluha

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1,738,581 次观看 • 1 个月前 •via X (Twitter)

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One guy built this app in a month and now it makes him more than $1,000,000 a year. No team. No investors. No marketing department. One developer. One month. One clever idea. The app is a camera for events. In its first month it got 100,000 downloads and he did not spend a single dollar on ads. Here is how he did it because the most interesting part is the growth itself. He did not bolt marketing onto the product. He made using the product the marketing itself. After that things kick in that almost nobody figures out. 1. You cannot use the app alone. For it to work the host has to pull every guest into it. Each install drags in dozens more right away. 2. One wedding is not one user but a whole crowd at once. 200 people scan one code in an evening and install the app. No ad brings that many for the same money and here the money is zero. 3. The guest becomes the host. He liked it at someone else's wedding and a month later he throws his own event and brings his own people. The loop spins itself and for free. 4. It does not look like an ad. To the guest it is a gift not some app forced on him. So they install it gladly and all of them do. 5. It all runs on emotion. A wedding. Memories. Shared shots. People film it and show their own people and a new wave comes in. Now let us count the money plain and honest. The subscription runs from 2 to 50 dollars. Say only every 20th person pays. That is 5,000 people out of 100,000. The average check a modest 20 dollars. 5,000 times 20 is 100,000 dollars a month. More than 3,000 a day. More than $1,000,000 a year. And all of this is one guy in a month without a single dollar on ads. He did not win on budget and not on a team. He won by sewing distribution into the very use of the product. You can lift almost any product this way. Could you build something like this on your own or is it just luck?

One guy built this app in a month and now it makes him more than $1,000,000 a year. No team. No investors. No marketing department. One developer. One month. One clever idea. The app is a camera for events. In its first month it got 100,000 downloads and he did not spend a single dollar on ads. Here is how he did it because the most interesting part is the growth itself. He did not bolt marketing onto the product. He made using the product the marketing itself. After that things kick in that almost nobody figures out. 1. You cannot use the app alone. For it to work the host has to pull every guest into it. Each install drags in dozens more right away. 2. One wedding is not one user but a whole crowd at once. 200 people scan one code in an evening and install the app. No ad brings that many for the same money and here the money is zero. 3. The guest becomes the host. He liked it at someone else's wedding and a month later he throws his own event and brings his own people. The loop spins itself and for free. 4. It does not look like an ad. To the guest it is a gift not some app forced on him. So they install it gladly and all of them do. 5. It all runs on emotion. A wedding. Memories. Shared shots. People film it and show their own people and a new wave comes in. Now let us count the money plain and honest. The subscription runs from 2 to 50 dollars. Say only every 20th person pays. That is 5,000 people out of 100,000. The average check a modest 20 dollars. 5,000 times 20 is 100,000 dollars a month. More than 3,000 a day. More than $1,000,000 a year. And all of this is one guy in a month without a single dollar on ads. He did not win on budget and not on a team. He won by sewing distribution into the very use of the product. You can lift almost any product this way. Could you build something like this on your own or is it just luck?

Blaze

10,703 次观看 • 1 个月前

One guy built a wedding camera app in a month and it now makes him over $1,000,000 a year. No team, no investors, no marketing budget. 100,000 downloads in the first month. Zero dollars on ads. He did not bolt marketing onto the product. He made using the product the marketing. You cannot use the app alone. The host has to pull every guest into it. One wedding is not one user. It is 200 people scanning the same code in one evening. The guest liked it at someone else's wedding. A month later he throws his own event and brings his own crowd. The loop spins for free. It does not look like an ad. To the guest it is a gift. So they install it gladly. $2 to $50 subscriptions. 5% pay. That is $100,000 a month. He did not win on budget. He sewed the growth into the product itself. Could you build the loop, or is it just luck?

One guy built a wedding camera app in a month and it now makes him over $1,000,000 a year. No team, no investors, no marketing budget. 100,000 downloads in the first month. Zero dollars on ads. He did not bolt marketing onto the product. He made using the product the marketing. You cannot use the app alone. The host has to pull every guest into it. One wedding is not one user. It is 200 people scanning the same code in one evening. The guest liked it at someone else's wedding. A month later he throws his own event and brings his own crowd. The loop spins for free. It does not look like an ad. To the guest it is a gift. So they install it gladly. $2 to $50 subscriptions. 5% pay. That is $100,000 a month. He did not win on budget. He sewed the growth into the product itself. Could you build the loop, or is it just luck?

Marlow

513,464 次观看 • 1 个月前

FALLS ROAD CURFEW "It said on all the TV reports, BBC and ITV that food and milk got into this area, if it got in, the people were not allowed out on to the streets until 5 o'clock......" "And I stood and I personally watched while a milk truck was turned away......"

FALLS ROAD CURFEW "It said on all the TV reports, BBC and ITV that food and milk got into this area, if it got in, the people were not allowed out on to the streets until 5 o'clock......" "And I stood and I personally watched while a milk truck was turned away......"

Petronilla de Midia

13,463 次观看 • 8 个月前

A 19-year-old student built a little robot that goes to lectures and takes notes so they can sleep in class It is a tiny screen with an animated smiley face, sitting on a 3D-printed stickman body You just tap its face at the start of class It listens through a built-in mic, records the professor, and as soon as class ends, turns the entire lecture into a structured summary right on the display Under the hood, it runs on an ESP32 microcontroller, an OLED screen, a small battery, and an SD card The best part - the student did not even code it line by line. The entire codebase was written using Cursor AI Audio goes in, gets transcribed, AI structures the notes, and it is ready before you even leave the room Most students are still struggling to take notes while half asleep. This little guy just sits on the desk and handles it all

A 19-year-old student built a little robot that goes to lectures and takes notes so they can sleep in class It is a tiny screen with an animated smiley face, sitting on a 3D-printed stickman body You just tap its face at the start of class It listens through a built-in mic, records the professor, and as soon as class ends, turns the entire lecture into a structured summary right on the display Under the hood, it runs on an ESP32 microcontroller, an OLED screen, a small battery, and an SD card The best part - the student did not even code it line by line. The entire codebase was written using Cursor AI Audio goes in, gets transcribed, AI structures the notes, and it is ready before you even leave the room Most students are still struggling to take notes while half asleep. This little guy just sits on the desk and handles it all

pulmencr

56,151 次观看 • 29 天前

Yikes…. They really messed up on Kate Middletons nostrils… 👃 Did they also forget the mole? lol Stinks of AI… Remember, the Royal Family just got busted sending out a Fake AI image of Kate and all media outlets had to retract it. Something funky is going on with the Royal Family.

Yikes…. They really messed up on Kate Middletons nostrils… 👃 Did they also forget the mole? lol Stinks of AI… Remember, the Royal Family just got busted sending out a Fake AI image of Kate and all media outlets had to retract it. Something funky is going on with the Royal Family.

MJTruthUltra

25,387,101 次观看 • 2 年前

I spent a week ignoring everyone who said to switch engines. Day 7, I pivot. You were right. Building GTA 6 with a loop of AI agents. I spent the entire day on one thing: Swapping the project out of Godot and onto Unreal. Yesterday I said I'd test Unity and probably skip Unreal. You guys pushed back hard: if you're serious about AAA, get on a real engine. so here we are. What a full day of "just setup" actually looks like: - Installed and configured Unreal - Fought it onto a Mac build (the metal toolchain nearly ended me) - Migrated the project over - Got into a real Map and building assets - Got a scene rendering with real lighting First time this actually looks like GTA instead of a prototype of it. I'm still wiring the agents into the editor and point the loop at a real engine. Feedback is appreciated!

I spent a week ignoring everyone who said to switch engines. Day 7, I pivot. You were right. Building GTA 6 with a loop of AI agents. I spent the entire day on one thing: Swapping the project out of Godot and onto Unreal. Yesterday I said I'd test Unity and probably skip Unreal. You guys pushed back hard: if you're serious about AAA, get on a real engine. so here we are. What a full day of "just setup" actually looks like: - Installed and configured Unreal - Fought it onto a Mac build (the metal toolchain nearly ended me) - Migrated the project over - Got into a real Map and building assets - Got a scene rendering with real lighting First time this actually looks like GTA instead of a prototype of it. I'm still wiring the agents into the editor and point the loop at a real engine. Feedback is appreciated!

Ziwen

86,302 次观看 • 2 个月前

Someone ran Claude Code on an e-ink notebook and the slowest screen in the world suddenly turned out to be the best home for an AI that already thinks one word at a time. This is the reMarkable Paper Pro, a paper tablet for notes with no browser and no social media and not a single app. He went into it over SSH and brought up Claude Code on Opus 4.8 on Claude Max and typed right into the terminal on the paper screen: "hello reddit, this is ssh terminal on rmpp". For years this screen got slammed for one thing. E-ink is too slow and it draws with a delay and it ghosts and it is no good for real work. But Claude itself puts out a thought one word at a time. And here is what came out of it: the very thing that killed the paper screen for normal software lined up perfectly with the pace of the AI. There is no more lag because there is nothing left to lag. And then come the things no monitor can give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it feels like reading a book and not staring into a backlight. Nothing distracts you. Not a single notification and not a single tab and just a cursor and an agent that writes code while you simply watch the page. The charge lasts for days. E-ink barely touches the battery so Claude can grind on a task all night long and the tablet is still alive by morning. And it weighs as much as a notebook. The whole work setup now fits into a bag like a notepad with a stylus on top. Everything on the screen is for real: Claude Code v2.1.162 and bypass permissions on and Opus going off to think on max effort right on the e-ink. In my opinion this is the most unexpected home for an AI this year. Not a farm of graphics cards and not a wall of monitors but a quiet sheet of paper on a coffee table where the most powerful Claude writes code one word at a time like a pen.

Someone ran Claude Code on an e-ink notebook and the slowest screen in the world suddenly turned out to be the best home for an AI that already thinks one word at a time. This is the reMarkable Paper Pro, a paper tablet for notes with no browser and no social media and not a single app. He went into it over SSH and brought up Claude Code on Opus 4.8 on Claude Max and typed right into the terminal on the paper screen: "hello reddit, this is ssh terminal on rmpp". For years this screen got slammed for one thing. E-ink is too slow and it draws with a delay and it ghosts and it is no good for real work. But Claude itself puts out a thought one word at a time. And here is what came out of it: the very thing that killed the paper screen for normal software lined up perfectly with the pace of the AI. There is no more lag because there is nothing left to lag. And then come the things no monitor can give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it feels like reading a book and not staring into a backlight. Nothing distracts you. Not a single notification and not a single tab and just a cursor and an agent that writes code while you simply watch the page. The charge lasts for days. E-ink barely touches the battery so Claude can grind on a task all night long and the tablet is still alive by morning. And it weighs as much as a notebook. The whole work setup now fits into a bag like a notepad with a stylus on top. Everything on the screen is for real: Claude Code v2.1.162 and bypass permissions on and Opus going off to think on max effort right on the e-ink. In my opinion this is the most unexpected home for an AI this year. Not a farm of graphics cards and not a wall of monitors but a quiet sheet of paper on a coffee table where the most powerful Claude writes code one word at a time like a pen.

Blaze

422,760 次观看 • 2 个月前

My son is interested in Stop Motion video, but all the apps on the store are garbage, too finicky for a 5 year old. I always wanted to just make a decent one, but never had the time. I did it with meʟ in 20 minutes and now he's making Sonic the hedgehog clips nonstop.

My son is interested in Stop Motion video, but all the apps on the store are garbage, too finicky for a 5 year old. I always wanted to just make a decent one, but never had the time. I did it with meʟ in 20 minutes and now he's making Sonic the hedgehog clips nonstop.

Michael Feldstein

182,004 次观看 • 2 年前

CHINESE DEVELOPER BUILT A PLAYABLE GAME ON A RETRO APPLE II SETUP IN 48 HOURS WITH KIMI K2.6 FOR UNDER $200 he opened Kimi, described the game in plain English and asked it to build the full loop: map, movement, enemies, score, UI and deployable code by the second night it wasn’t just a green screen clip. the game had working mechanics, fixed bugs and enough structure to feel like a real prototype the Apple II setup is just the bait. Kimi is the part doing the heavy lifting with 256K context and 300 agents running through the boring dev work a small studio would charge $3,000-8,000 just to get this first version working. he turned it into a weekend build for under $200 most people use AI to write tweets. this developer used it to ship something you can actually play

CHINESE DEVELOPER BUILT A PLAYABLE GAME ON A RETRO APPLE II SETUP IN 48 HOURS WITH KIMI K2.6 FOR UNDER $200 he opened Kimi, described the game in plain English and asked it to build the full loop: map, movement, enemies, score, UI and deployable code by the second night it wasn’t just a green screen clip. the game had working mechanics, fixed bugs and enough structure to feel like a real prototype the Apple II setup is just the bait. Kimi is the part doing the heavy lifting with 256K context and 300 agents running through the boring dev work a small studio would charge $3,000-8,000 just to get this first version working. he turned it into a weekend build for under $200 most people use AI to write tweets. this developer used it to ship something you can actually play

Gipp 🦅

15,035 次观看 • 3 个月前

This guy replaced an $8,000 survey crew with one drone and a pipeline on Claude Code that digitizes a whole site in a single trip. Inside it is not one drone but a whole pipeline of 5 modules on Claude Code each with its own job all answering to a single orchestrator. And he built them himself with no team. He draws one line on the map from the controller and the whole site starts turning into data at once. Pilot flies the DJI Matrice 350 RTK along the route and reaches where a crew drags tripods: the parking lot and the roofs and the grading. Scanner on the Zenmuse L2 records the geometry with a laser down to the centimeter. Builder in DJI Terra stitches the point cloud into a digital twin. Analyst on Claude builds what the client needs out of the finished model: a volume report and a progress diff and a tour behind a link. Mobile lives in his iPhone and hands the developer a link to the model while he drives to the next site. The site is ready as a file in about an hour and the developer rotates it in the browser himself and measures distances. No crew. No tripods. No week on site. Just him and a pickup and a drone and one API key. The whole processing pipeline lives in a folder at /Users/dev/site-capture. But he did not stop at a one time scan. The pipeline raises him by voice only when a flight misses a patch or when a sag on site goes past tolerance. And this is not made up: the DJI Matrice 350 RTK and the Zenmuse L2 are off the shelf enterprise hardware. The specs are one search away and the L2 really does write around 240,000 points per second. A crew for the same job charges $8,000 and three trips plus a week of desk work. His cost is tokens and subscriptions: one battery charge per flight and around $300 a month to host the finished models. In the end he draws one line on the map and an operator that does not exist scans the site and calculates the volumes and builds the report while he never leaves his truck. There is a huge market of everyone who needs to measure construction sites and warehouses and roofs and parking lots over and over while they still send out a photographer with a camera and wait a week. And he built this whole pipeline himself: one drone and one scanner and Claude Code that turns a flight into a file the developer pays for.

This guy replaced an $8,000 survey crew with one drone and a pipeline on Claude Code that digitizes a whole site in a single trip. Inside it is not one drone but a whole pipeline of 5 modules on Claude Code each with its own job all answering to a single orchestrator. And he built them himself with no team. He draws one line on the map from the controller and the whole site starts turning into data at once. Pilot flies the DJI Matrice 350 RTK along the route and reaches where a crew drags tripods: the parking lot and the roofs and the grading. Scanner on the Zenmuse L2 records the geometry with a laser down to the centimeter. Builder in DJI Terra stitches the point cloud into a digital twin. Analyst on Claude builds what the client needs out of the finished model: a volume report and a progress diff and a tour behind a link. Mobile lives in his iPhone and hands the developer a link to the model while he drives to the next site. The site is ready as a file in about an hour and the developer rotates it in the browser himself and measures distances. No crew. No tripods. No week on site. Just him and a pickup and a drone and one API key. The whole processing pipeline lives in a folder at /Users/dev/site-capture. But he did not stop at a one time scan. The pipeline raises him by voice only when a flight misses a patch or when a sag on site goes past tolerance. And this is not made up: the DJI Matrice 350 RTK and the Zenmuse L2 are off the shelf enterprise hardware. The specs are one search away and the L2 really does write around 240,000 points per second. A crew for the same job charges $8,000 and three trips plus a week of desk work. His cost is tokens and subscriptions: one battery charge per flight and around $300 a month to host the finished models. In the end he draws one line on the map and an operator that does not exist scans the site and calculates the volumes and builds the report while he never leaves his truck. There is a huge market of everyone who needs to measure construction sites and warehouses and roofs and parking lots over and over while they still send out a photographer with a camera and wait a week. And he built this whole pipeline himself: one drone and one scanner and Claude Code that turns a flight into a file the developer pays for.

Blaze

10,744 次观看 • 2 个月前

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Shadow Nick

47,058 次观看 • 1 个月前

Introducing a new Glide, built for the AI age. The new Glide combines the power of generative AI with the visibility and control of spreadsheets and no-code. We're doubling down on our core spreadsheet to app functionality, and making it 100X more powerful. But that's not all... Join the waitlist to be one of the first to experience the new Glide:

Introducing a new Glide, built for the AI age. The new Glide combines the power of generative AI with the visibility and control of spreadsheets and no-code. We're doubling down on our core spreadsheet to app functionality, and making it 100X more powerful. But that's not all... Join the waitlist to be one of the first to experience the new Glide:

Glide

13,724 次观看 • 5 个月前

ANTHROPIC LEAKED THE 6 REPOS THEY BUILT CLAUDE CODE ON - THEY REPLACE A $120K/MONTH TEAM AND COST $3 A DAY anyone can clone 6 repos - almost nobody assembles them into a team that runs for $3 a day. core → skills → patterns → gates → self-patch 4 executors on the core are the largest line on the bill - $1.10 a day, and that's where you get 4 PRs instead of one. move that layer to the priciest model and the bill doubles with almost nothing to show for it. 7 procedures sit on disk, exactly 1 enters the window - a convention pasted into a prompt is rent, a convention in a folder is storage. the most expensive model sits on exactly 2 layers out of 6 - it plans and it judges, and that's the second-smallest line on the bill. the template arrives with 4 problems already solved: auth, payments, deploy, errors - the ones you'd rediscover yourself in week three. at the gates the cheap model triages 80 findings and the expensive one reads 4 - which is why it costs 60 cents, not 6 dollars. security scans every commit for 20 cents a day - the cheapest line on the stack and the first one everyone cuts. and the key part: the gate doesn't just reject, it writes the missing rule into the procedures - next week the team works to rules it wrote itself. the wrong model on the wrong layer costs 5x overpaid or a month of rework - and that's the part nobody publishes. save this and paste it into Claude Code - the repos are public, the assembly isn't ↓

ANTHROPIC LEAKED THE 6 REPOS THEY BUILT CLAUDE CODE ON - THEY REPLACE A $120K/MONTH TEAM AND COST $3 A DAY anyone can clone 6 repos - almost nobody assembles them into a team that runs for $3 a day. core → skills → patterns → gates → self-patch 4 executors on the core are the largest line on the bill - $1.10 a day, and that's where you get 4 PRs instead of one. move that layer to the priciest model and the bill doubles with almost nothing to show for it. 7 procedures sit on disk, exactly 1 enters the window - a convention pasted into a prompt is rent, a convention in a folder is storage. the most expensive model sits on exactly 2 layers out of 6 - it plans and it judges, and that's the second-smallest line on the bill. the template arrives with 4 problems already solved: auth, payments, deploy, errors - the ones you'd rediscover yourself in week three. at the gates the cheap model triages 80 findings and the expensive one reads 4 - which is why it costs 60 cents, not 6 dollars. security scans every commit for 20 cents a day - the cheapest line on the stack and the first one everyone cuts. and the key part: the gate doesn't just reject, it writes the missing rule into the procedures - next week the team works to rules it wrote itself. the wrong model on the wrong layer costs 5x overpaid or a month of rework - and that's the part nobody publishes. save this and paste it into Claude Code - the repos are public, the assembly isn't ↓

Sprytix

18,110 次观看 • 12 天前

$"I personally spent $1,000,000 on influencers". Jeddi (Jeddi) is a fractional growth consultant for top AI companies across the US/Europe - here he gives his perspective on influencer and paid marketing: "The prices [for influencers] did 5 to 10x in 12 months" "Leveraging the trust and the distribution that they built over time is a hell yes move". "Some of these companies hire the creators directly to become the face of the company" "META ads and pure paid marketing ads is also something people don't really know, but for SaaS it works if it's product led - for all my clients we're spending money on that and Google. It just works".$

"I personally spent $1,000,000 on influencers". Jeddi (Jeddi) is a fractional growth consultant for top AI companies across the US/Europe - here he gives his perspective on influencer and paid marketing: "The prices [for influencers] did 5 to 10x in 12 months" "Leveraging the trust and the distribution that they built over time is a hell yes move". "Some of these companies hire the creators directly to become the face of the company" "META ads and pure paid marketing ads is also something people don't really know, but for SaaS it works if it's product led - for all my clients we're spending money on that and Google. It just works".

etn.

22,389 次观看 • 5 个月前

The CEO of Take-Two, the company behind GTA, just said something the entire AI industry doesn't want to hear. And he said it without being anti-AI. Strauss Zelnick's argument is precise. AI is built on datasets. Datasets are backward-looking. Creativity is forward-looking. A model trained on everything that already exists cannot, by definition, produce something genuinely unexpected. And all hits, by their very nature, are unexpected. Asset creation and hit creation are not the same thing. AI is getting very good at the first one. The second one is what actually makes money, builds franchises, and changes culture. Nobody has shown AI can do that yet. The derivative property problem is real. You can clone GTA with existing technology. You could do it before AI. It would take 3 years and look identical. It still wouldn't sell. Because it isn't GTA. It's a clone of GTA. And consumers, despite what the industry occasionally pretends, can feel the difference between something genuinely new and something assembled from the residue of things that already worked. Thousands of mobile games ship every year. 0 to 5 hits get made. The same studios make them every time. The technology to make more games has been commoditized for years. It didn't democratize hit creation. It just flooded the market with more forgettable product. The Silicon Valley thesis that AI unlocks game creation for everyone is true in the same way that cheap cameras unlocked filmmaking for everyone. They did. And the same 5 studios still make the movies everyone watches. What Zelnick is saying, without quite saying it, is that the thing AI cannot replicate is taste. The instinct for what hasn't been done yet. The cultural antenna that detects the gap in the market before the data can see it. Data tells you what people wanted. Hits tell people what they want next. Those are different jobs.

The CEO of Take-Two, the company behind GTA, just said something the entire AI industry doesn't want to hear. And he said it without being anti-AI. Strauss Zelnick's argument is precise. AI is built on datasets. Datasets are backward-looking. Creativity is forward-looking. A model trained on everything that already exists cannot, by definition, produce something genuinely unexpected. And all hits, by their very nature, are unexpected. Asset creation and hit creation are not the same thing. AI is getting very good at the first one. The second one is what actually makes money, builds franchises, and changes culture. Nobody has shown AI can do that yet. The derivative property problem is real. You can clone GTA with existing technology. You could do it before AI. It would take 3 years and look identical. It still wouldn't sell. Because it isn't GTA. It's a clone of GTA. And consumers, despite what the industry occasionally pretends, can feel the difference between something genuinely new and something assembled from the residue of things that already worked. Thousands of mobile games ship every year. 0 to 5 hits get made. The same studios make them every time. The technology to make more games has been commoditized for years. It didn't democratize hit creation. It just flooded the market with more forgettable product. The Silicon Valley thesis that AI unlocks game creation for everyone is true in the same way that cheap cameras unlocked filmmaking for everyone. They did. And the same 5 studios still make the movies everyone watches. What Zelnick is saying, without quite saying it, is that the thing AI cannot replicate is taste. The instinct for what hasn't been done yet. The cultural antenna that detects the gap in the market before the data can see it. Data tells you what people wanted. Hits tell people what they want next. Those are different jobs.

Mario Nawfal

1,638,454 次观看 • 3 个月前

Hot take, but I’ve always felt Vice City is easily the worst GTA. I’ve never fully understood the hype around it. Don’t get me wrong the atmosphere is amazing, the 80s vibe is iconic, and the soundtrack is one of the best in the series. Tommy and Ken are great characters too. But once past that, the game itself doesn’t hold up as well for me. The map feels small and empty, especially compared to San Andreas, and even GTA 3 felt bigger in some ways. Driving around and exploring isn’t that fun, which is a huge part of what makes GTA games enjoyable. The missions are where it really loses me. Many feel repetitive or straight-up frustrating, especially early on. The RC helicopter mission inside the building is a perfect example more annoying than fun. It often feels like the game is just throwing obstacles at you instead of offering natural progression. To me, it’s always felt more like a quick follow-up to GTA 3 than a fully evolved entry, leaning heavily on style over substance. It has its moments, but compared to the other GTA games, it just doesn’t hit the same.

Hot take, but I’ve always felt Vice City is easily the worst GTA. I’ve never fully understood the hype around it. Don’t get me wrong the atmosphere is amazing, the 80s vibe is iconic, and the soundtrack is one of the best in the series. Tommy and Ken are great characters too. But once past that, the game itself doesn’t hold up as well for me. The map feels small and empty, especially compared to San Andreas, and even GTA 3 felt bigger in some ways. Driving around and exploring isn’t that fun, which is a huge part of what makes GTA games enjoyable. The missions are where it really loses me. Many feel repetitive or straight-up frustrating, especially early on. The RC helicopter mission inside the building is a perfect example more annoying than fun. It often feels like the game is just throwing obstacles at you instead of offering natural progression. To me, it’s always felt more like a quick follow-up to GTA 3 than a fully evolved entry, leaning heavily on style over substance. It has its moments, but compared to the other GTA games, it just doesn’t hit the same.

DriftRespawn

29,905 次观看 • 4 个月前

THIS GUY BUILT REAL FLYING SWORD DRONES AND CONTROLS THEM WITH HAND GESTURES fan shisan is a physics student in chengdu who coded and built flying drones shaped like actual swords he controls them entirely with hand gestures. no controller or a phone. just his hands wave your hand and the sword follows. point and it flies where you direct it. multiple swords in the air at the same time responding to different gestures he built the gesture recognition system HIMSELF and coded the flight control algorithms. designed the drone hardware in the shape of swords. the gesture tracking uses sensors that read the position and movement of his hands in real time and translate them into flight commands for each drone independently he even built one large enough to ride on a physics student with coding skills just brought something straight out of a kung fu movie into the real world the line between science fiction and side projects is getting thinner every month

THIS GUY BUILT REAL FLYING SWORD DRONES AND CONTROLS THEM WITH HAND GESTURES fan shisan is a physics student in chengdu who coded and built flying drones shaped like actual swords he controls them entirely with hand gestures. no controller or a phone. just his hands wave your hand and the sword follows. point and it flies where you direct it. multiple swords in the air at the same time responding to different gestures he built the gesture recognition system HIMSELF and coded the flight control algorithms. designed the drone hardware in the shape of swords. the gesture tracking uses sensors that read the position and movement of his hands in real time and translate them into flight commands for each drone independently he even built one large enough to ride on a physics student with coding skills just brought something straight out of a kung fu movie into the real world the line between science fiction and side projects is getting thinner every month

Om Patel

307,609 次观看 • 3 个月前

SOMEONE IS BUILDING GTA 6 WITH A LOOP OF AI AGENTS AND JUST SWITCHED TO UNREAL ENGINE ON DAY 7 One full day of setup. Installed Unreal, fought it onto a Mac build, migrated the project and got a scene rendering with real lighting. First time it actually looks like GTA instead of a prototype of it.

SOMEONE IS BUILDING GTA 6 WITH A LOOP OF AI AGENTS AND JUST SWITCHED TO UNREAL ENGINE ON DAY 7 One full day of setup. Installed Unreal, fought it onto a Mac build, migrated the project and got a scene rendering with real lighting. First time it actually looks like GTA instead of a prototype of it.

0xMarioNawfal

60,080 次观看 • 2 个月前

Someone ran Claude Code on a beach where any device overheats and that spot suddenly turned out to be the best home for the most powerful AI in the world. This is the reMarkable Paper Pro. A paper tablet for notes with no browser and no social media and not a single app. He sat down right on the sand in the open sun and brought up Claude Code on Opus 4.6 over the Claude API on the paper screen and opened his project ~/repos/webs while the waves broke a few steps away. For years every device had the same trouble outside. In direct sun the screen glares and washes out and heats up and instead of your work you see your own reflection. But e-ink does not blast its own light into your face. It reflects the sunlight like the page of a book. And here is what came out of it. The very thing that kills any normal screen outside turned into fuel for this one. The brighter the sun the sharper the picture because it has nothing to glare with and nothing to wash out. And then comes the thing no laptop on a beach will give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it reads like a book in the sun and not a backlight you squint into. The picture only comes alive. In bright light it does not fade but turns sharper and higher in contrast than it ever was in a room. The charge lasts for days. E-ink barely touches the battery so there is no outlet anywhere on the sand and the tablet does not care. It weighs as much as a notebook. The whole setup folds into a beach bag like a pad with a pen on top. Everything on the screen is for real. Claude Code v2.1.110 and Opus 4.6 on the Claude API and the project ~/repos/webs open right on the e-ink in the middle of the sand. In my opinion this is the most unexpected home for an AI this year. Not an office with the blinds drawn and not a monitor cranked to full brightness but a quiet sheet of paper on the sand that open sun only makes better and on it the most powerful Claude writes code right on the page like a pen.

Someone ran Claude Code on a beach where any device overheats and that spot suddenly turned out to be the best home for the most powerful AI in the world. This is the reMarkable Paper Pro. A paper tablet for notes with no browser and no social media and not a single app. He sat down right on the sand in the open sun and brought up Claude Code on Opus 4.6 over the Claude API on the paper screen and opened his project ~/repos/webs while the waves broke a few steps away. For years every device had the same trouble outside. In direct sun the screen glares and washes out and heats up and instead of your work you see your own reflection. But e-ink does not blast its own light into your face. It reflects the sunlight like the page of a book. And here is what came out of it. The very thing that kills any normal screen outside turned into fuel for this one. The brighter the sun the sharper the picture because it has nothing to glare with and nothing to wash out. And then comes the thing no laptop on a beach will give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it reads like a book in the sun and not a backlight you squint into. The picture only comes alive. In bright light it does not fade but turns sharper and higher in contrast than it ever was in a room. The charge lasts for days. E-ink barely touches the battery so there is no outlet anywhere on the sand and the tablet does not care. It weighs as much as a notebook. The whole setup folds into a beach bag like a pad with a pen on top. Everything on the screen is for real. Claude Code v2.1.110 and Opus 4.6 on the Claude API and the project ~/repos/webs open right on the e-ink in the middle of the sand. In my opinion this is the most unexpected home for an AI this year. Not an office with the blinds drawn and not a monitor cranked to full brightness but a quiet sheet of paper on the sand that open sun only makes better and on it the most powerful Claude writes code right on the page like a pen.

Blaze

89,297 次观看 • 2 个月前

Claude Code is the OpenClaw alternative you already had. I've been telling people this in person for three months. Now it's a piece on Every 📧. When OpenClaw was at peak hype a few months ago, everyone was going crazy over it — for good reasons. But almost nobody made the obvious comparison: Claude Code already does the thing you love about OpenClaw. In a lot of cases, better. Here's why people missed it. You have to understand the difference between a model and a harness. OpenClaw, at the end of the day, is just a harness on top of AI models. And Claude Code is too — it just got marketed as a coding tool, an alternative to Cursor. Until Cowork launched, almost nobody looked at it as a tool for non-programmers. Dan Shipper 📧 was one of the earliest to make that claim, and he was damn right. Let Claude Code run from the home folder of your computer with free access, and you get exactly what made OpenClaw exciting. Instead of just arguing it, here's a video walkthrough of a couple of my AI employees i built on the Claude Code harness. And here's the full article:

Claude Code is the OpenClaw alternative you already had. I've been telling people this in person for three months. Now it's a piece on Every 📧. When OpenClaw was at peak hype a few months ago, everyone was going crazy over it — for good reasons. But almost nobody made the obvious comparison: Claude Code already does the thing you love about OpenClaw. In a lot of cases, better. Here's why people missed it. You have to understand the difference between a model and a harness. OpenClaw, at the end of the day, is just a harness on top of AI models. And Claude Code is too — it just got marketed as a coding tool, an alternative to Cursor. Until Cowork launched, almost nobody looked at it as a tool for non-programmers. Dan Shipper 📧 was one of the earliest to make that claim, and he was damn right. Let Claude Code run from the home folder of your computer with free access, and you get exactly what made OpenClaw exciting. Instead of just arguing it, here's a video walkthrough of a couple of my AI employees i built on the Claude Code harness. And here's the full article:

Nityesh

22,895 次观看 • 2 个月前