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I made a game where you can create retro Roblox builds! Play it here: Includes: - Bevelled Blocks + accurate scaling - Old materials & Terrain - Classic models - Various building tools (color/material changer, stamper, scale) #Roblox #RobloxDev

Clockset

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30,758 views • 2 months ago •via X (Twitter)

Gaming #Roblox #RobloxDev

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This is one of the games made with GPT-6 Astra that I found on Combos Fun. I’ve put the playable link below. For anyone building games in Codex, there’s another useful part here: getting your game online and finding people to play it. Combos CLI lets you publish from Codex to Combos, share a link with friends, and put your game in a community where others can discover and play it. You can use image and audio models through the same account too.

This is one of the games made with GPT-6 Astra that I found on Combos Fun. I’ve put the playable link below. For anyone building games in Codex, there’s another useful part here: getting your game online and finding people to play it. Combos CLI lets you publish from Codex to Combos, share a link with friends, and put your game in a community where others can discover and play it. You can use image and audio models through the same account too.

Elsa Ai

16,060 views • 12 days ago

There’s literally thousands and thousands of you trying to get into this server to the point where you guys are SOMEHOW breaking Roblox’s servers… So, since this is becoming a real issue, I’m going to end Wave 8 here. But Wave 9 will be very soon, and it’ll be the last “wave.” This time though, I won’t make it a private server where I have to personally hand it out. Instead, I’ll open a game where you guys can join, get a badge, and receive the skin through that. That way, there won’t be as many restrictions or barriers for people who can’t join the server because of their device, connection, or any other issues. Sorry Roblox decided to tweak today for some reason, but that’s not going to stop me from giving this thing I love with my heart to y’all, especially knowing how many of you love it too. Soon, I’ll be opening the badge game. Stay tuned...

There’s literally thousands and thousands of you trying to get into this server to the point where you guys are SOMEHOW breaking Roblox’s servers… So, since this is becoming a real issue, I’m going to end Wave 8 here. But Wave 9 will be very soon, and it’ll be the last “wave.” This time though, I won’t make it a private server where I have to personally hand it out. Instead, I’ll open a game where you guys can join, get a badge, and receive the skin through that. That way, there won’t be as many restrictions or barriers for people who can’t join the server because of their device, connection, or any other issues. Sorry Roblox decided to tweak today for some reason, but that’s not going to stop me from giving this thing I love with my heart to y’all, especially knowing how many of you love it too. Soon, I’ll be opening the badge game. Stay tuned...

SoyS3BASTIAN

555,337 views • 3 months ago

I'm building my game with GPT-6, and color correction has become one of my favorite uses for it. When I generate assets separately, I can like each one on its own and still end up with a scene where the colors don't belong together. A castle looks fine in isolation, then turns greenish against the terrain. Its swords and shields disappear into the background. Getting those things to match used to mean a lot of repainting and trying different textures. Now I've built a workflow where GPT-6 takes screenshots in Unity, inspects the object's color textures, and helps bring them closer to the look I want. I can give it the terrain or tree textures as color references. It can prepare masks, send the relevant textures through Image Edit, then put the result back into the game for another look. Editors such as GPT Image 2 Edit or Nano Banana Edit can be part of that workflow. This is also why I keep pushing for properly prepared 3D models. If the parts are separated logically, you get much more control later. We could work on the swords and shields without changing the whole castle. The stone could stay dark while the equipment became easier to read. The latest pass on my game covered the overall post effects and the skeleton castles. We matched the castles to the surrounding terrain, adjusted the equipment colors, and added a subtle moving highlight. The first stronger color pass went too far. I asked for the accents to move about 30% closer to gray, and that got them where I wanted: visible, without pulling all the attention. I'm so happy with the difference. The video shows the before and after across the map and on the castles. Being able to give feedback on the actual scene and keep refining it this way feels great.

I'm building my game with GPT-6, and color correction has become one of my favorite uses for it. When I generate assets separately, I can like each one on its own and still end up with a scene where the colors don't belong together. A castle looks fine in isolation, then turns greenish against the terrain. Its swords and shields disappear into the background. Getting those things to match used to mean a lot of repainting and trying different textures. Now I've built a workflow where GPT-6 takes screenshots in Unity, inspects the object's color textures, and helps bring them closer to the look I want. I can give it the terrain or tree textures as color references. It can prepare masks, send the relevant textures through Image Edit, then put the result back into the game for another look. Editors such as GPT Image 2 Edit or Nano Banana Edit can be part of that workflow. This is also why I keep pushing for properly prepared 3D models. If the parts are separated logically, you get much more control later. We could work on the swords and shields without changing the whole castle. The stone could stay dark while the equipment became easier to read. The latest pass on my game covered the overall post effects and the skeleton castles. We matched the castles to the surrounding terrain, adjusted the equipment colors, and added a subtle moving highlight. The first stronger color pass went too far. I asked for the accents to move about 30% closer to gray, and that got them where I wanted: visible, without pulling all the attention. I'm so happy with the difference. The video shows the before and after across the map and on the castles. Being able to give feedback on the actual scene and keep refining it this way feels great.

Stefan 3D AI

16,850 views • 8 days ago

After 50 hours, God of war Sons of Sparta Platinum 100% is done! Full thoughts: - The game gets better and better the more you play - Boss fights where awesome - Fun to see Kratos as a kid but also wish you could play sections in 2D as the adult - OST is incredible - From a Metroivania point of view it's decent, it's not the best but also not the worst - From a god of war perspectively it's definitely better, it has a lot of old school stuff - Side stuff where ok, mostly not needed - I really like the art style, playstation definitely needs more different art styles Basically there are 2 sides here, if you're a god of war fan then obviously this is a must play since it adds to the lore, story and pure fun. So that way worth asking price However if you're a Metroivania super fan or casual GOW fan then better to wait for a sale if you want to play it. Either way, it's a fun game and Sony needs imo more of these "smaller" scale games.

After 50 hours, God of war Sons of Sparta Platinum 100% is done! Full thoughts: - The game gets better and better the more you play - Boss fights where awesome - Fun to see Kratos as a kid but also wish you could play sections in 2D as the adult - OST is incredible - From a Metroivania point of view it's decent, it's not the best but also not the worst - From a god of war perspectively it's definitely better, it has a lot of old school stuff - Side stuff where ok, mostly not needed - I really like the art style, playstation definitely needs more different art styles Basically there are 2 sides here, if you're a god of war fan then obviously this is a must play since it adds to the lore, story and pure fun. So that way worth asking price However if you're a Metroivania super fan or casual GOW fan then better to wait for a sale if you want to play it. Either way, it's a fun game and Sony needs imo more of these "smaller" scale games.

Pyo 5️⃣

42,621 views • 7 months ago

Has been a while since I've given an update so here's a breakdown of where Sappy is at right now and what we're focusing on going into this year. Pre-amble: With altcoins & NFTs the market is definitely not the same as it was before. I think this is obvious to everyone but I've noticed there are still japanese soldiers that are convinced old tricks and mechanics work. They don't. Liquidity is thin; people want to bid assets that feel like "real companies" not vacuous memecoins. There's still room for memecoins, social currencies, and "utility tokens" (I would say without these functions, tokens are hard to justify versus equities). I'm not part of the camp that thinks there will never be hyperspeculation in crypto again, because there will be; we all love ponzis and PvPing each other onchain. Just not with solved games -- people need something new and fresh. So the overarching plan is to continue building for users, sustainable revenues that aren't tied to directly to crypto, and doubling down on the areas that we've already found PMF / Brand Market Fit. Then leaning into crypto during cyclical periods where liquidity is sloshing around at an accelerated rate. Where we've found early PMF / what we're leaning into: Roblox: we're going to continue to go hard and accelerate here. It's our main objective to ship more seal/brainrot focused games across most genres to cast as wide of a net as we can for the brand, and to also iterate and see what works and stays sticky. Our initial incursion into Roblox was very successful peaking at 2M+ MAU and still sustaining a large portion of that player base... for all of its success, that was a relatively amateur first attempt; we've been setting up better AI pipelines for Roblox development that makes it reasonable to ship many more games and 10x those player counts in totality. It's my belief that Roblox is the sandbox whose audience will be the most valuable on the internet once they are grown up. That intense feeling you get when you see a TikTok referencing an old game you enjoyed on the PS2 or the Gamecube, or when you see a Pokemon card is the exact same feeling the youth of today will get when reminiscing on the things they enjoyed engaging with when they were younger. Fortnite and Roblox are functional equivalents to the old school consoles and exactly where that is taking place. Which is why as much as I care about scaling revenues through Roblox, the long term brand equity gained purely through being popular on the platform is totally invaluable. It also can heavily convert to merchandise sales today if all touchpoints for the brand are dialed in (which is why brands get overcharged so much by Roblox dev shops for the same ROI that only cost us a few thousand $). We have the playbook, it's just about iterating new concepts and then aggressively scaling. Brand Expansion & Merchandising: I've started to create a content pipeline that is easily repeatable, cost efficient (costs next to nothing through either AI or smart reusable concepts), while still being very tasteful and meeting our quality standards for the brand. We are mostly focusing here on reaching people where they're at through nostalgic/emotional content, or just being visually stimulating through carefully curated aesthetics. Content that isn't superficial and touches people in a memorable way. I've attached some examples to the post so you can see what I mean rather than just read it. I don't think it's long until larger brands start doing this at scale, but it's always good to be ahead of the curve and most importantly winning on taste -- knowing what will resonate with people and what won't has always been our edge. The purpose for these accounts is not only to rack up attention but also to begin converting those into sales of both of physicals (plushies & gacha collectibles) and digital avenues like our games, and any other apps we produce. Because they're offshoot accounts it's also a lot easier to be aggressive/experimental with said conversion strategies. Sappy Studio: I'm wrapping everything like Omnia, and everything else into this category because they're all tangentially related. Beginning with Omnia, our current focus is gearing up for Season 0 which involves players competing in the ranked ladder for a prize pool that has rewards through Monad Momentum as well as a player-funded prize pool. This season will be fairly simple with us mostly logging retention, deck building habits, as well as qualitatively observing how aggressively players push the combat system. Deeper monetization wont exist yet outside of the player buy-in (to be eligible for P2E rewards). Beyond that our overarching principle this year is to focus heavily on risk-to-earn mechanics where a portion of that excess value is circular i.e. revenues flow back to prize pools or other parts of the economy, treating the game almost like a protocol where the objective is to amass TVL or player liquidity. Social is also a big focus, and that means implementing the Open World hub which from an infrastructure perspective has already been built out and tested by all of you previously. Right now we are scaffolding the environment in 3D and working through how that hub should look and feel, so players are excited to hang out & idle together while they're queuing. For sappydotlol, what I'm about to say is still early days from a design perspective so a lot can change, but I'm pushing the site in the direction of being a virtual game console. An intersection between Nintendo & Myspace where users can play, trade, and socially interact in a way that's deeply personalised; a breathe of fresh air from the hostility of the current internet. If you go back to my thesis on Roblox above and the game console references, you can kind of see how this will all sequentially tie together. In essence, the strategy is to acquire a critical mass of players through traditional platforms like Roblox, and use that attention and trust to provide an onboarding funnel for web2 users into our own sandbox filled with a mixture of our own browser-based experiences as well as an aggregation of others. The aim is to make the platform a breath of fresh air & bunker from the enshittified platforms like TikTok/IG/X where users are actually served in ways that delight rather than agitate, and where self-expression is incentivised. Closing: As always everything here is subject to change but I've never felt more conviction in our direction until now; I know exactly what we need to do and how, with everything aligning with our team's strengths. Very excited and grinding through things to the point where I'm getting headaches and can't sleep from being hyperfocused for long periods of time lol. There probably has never been a better time to join the ecosystem from a price to fuck around and find out perspective.

wab.eth

18,274 views • 8 months ago

For years i've had this vision for a synchronous reactive ORM with offline support and realtime syncing to other clients. This is the holy grail of state management IMO and i'm finally building it using mobx and yjs. I know that's a mouthful so let me explain: synchronous - there's no promises to deal with and therefore no loading states which leads to much cleaner frontend code. reactive - imagine signals/observables that you can mutate and they will trigger your components to rerender and also will immediately propagate to other users' devices. ORM - what i've made is not an ORM, but it looks and feels like one where you define Models and then you interact with instances of those models. offline/syncing - this is done through yjs, a CRDT implementation, and websockets. CRDTs power many modern collaborative multiplayer tools like figma.

For years i've had this vision for a synchronous reactive ORM with offline support and realtime syncing to other clients. This is the holy grail of state management IMO and i'm finally building it using mobx and yjs. I know that's a mouthful so let me explain: synchronous - there's no promises to deal with and therefore no loading states which leads to much cleaner frontend code. reactive - imagine signals/observables that you can mutate and they will trigger your components to rerender and also will immediately propagate to other users' devices. ORM - what i've made is not an ORM, but it looks and feels like one where you define Models and then you interact with instances of those models. offline/syncing - this is done through yjs, a CRDT implementation, and websockets. CRDTs power many modern collaborative multiplayer tools like figma.

Austin Malerba

15,170 views • 3 years ago

🧑‍🚀 Day 4 of the Cursor #vibejam Proudly sponsored by Cursor + bolt.new + GLIF So the new sponsor is GLIF: Glif is like Claude Code for AI videos and content generation: you can build launch videos for your game, explore asset styles with 100+ AI models/tools and train it on your favorite workflows via skills! Use it to make trailers, game assets, promo videos and more for your Vibe Jam submission! Tomorrow fabian from Glif will share more to help you create promotion materials for your games! Because it'd be cool if after the Vibe Jam your games will take off and become actual games Again browsing the #vibejam tag on X today and there's so many people building cool, cute and fun games so it was hard, but I picked my favorite 4 ones from today: - A literal 🪰 "fly" simulator, not flight simulator 😂 by Gabriel - What looks like a multiplayer Roman combat simulator by Tim Trussner - LeBeau Motel (another?) Habbo Hotel remix by Vincent - Roomba Wars by Thijs which is descriptive enough to not need an explanation 😁 Reply in this thread with updates on your current games to share your progress! Do you want to participate? You can still start now and submit your game any time before May 1! There's $35,000 in prizes you can win, see threads below for more info!

🧑‍🚀 Day 4 of the Cursor #vibejam Proudly sponsored by Cursor + bolt.new + GLIF So the new sponsor is GLIF: Glif is like Claude Code for AI videos and content generation: you can build launch videos for your game, explore asset styles with 100+ AI models/tools and train it on your favorite workflows via skills! Use it to make trailers, game assets, promo videos and more for your Vibe Jam submission! Tomorrow fabian from Glif will share more to help you create promotion materials for your games! Because it'd be cool if after the Vibe Jam your games will take off and become actual games Again browsing the #vibejam tag on X today and there's so many people building cool, cute and fun games so it was hard, but I picked my favorite 4 ones from today: - A literal 🪰 "fly" simulator, not flight simulator 😂 by Gabriel - What looks like a multiplayer Roman combat simulator by Tim Trussner - LeBeau Motel (another?) Habbo Hotel remix by Vincent - Roomba Wars by Thijs which is descriptive enough to not need an explanation 😁 Reply in this thread with updates on your current games to share your progress! Do you want to participate? You can still start now and submit your game any time before May 1! There's $35,000 in prizes you can win, see threads below for more info!

@levelsio

126,975 views • 5 months ago

🚨 SCIENTISTS JUST DETECTED QUANTUM ENTANGLEMENT IN A CENTIMETER-SIZED PIECE OF METAL SOMETHING ONCE THOUGHT IMPOSSIBLE AT THIS SCALE. Researchers at the Vienna University of Technology have found clear evidence of high-degree quantum entanglement among particles inside a macroscopic crystal of a “strange metal” made of cerium, palladium, and silicon. This is one of the first times multipartite entanglement has been convincingly demonstrated in a solid object large enough to hold in your hand. Strange metals are already bizarre their electrons don’t behave like normal individual particles. Now it appears large numbers of them can act as a single, highly entangled quantum system even at everyday scales. Why this matters: • Quantum entanglement has almost always been limited to tiny numbers of particles in carefully isolated lab conditions • This experiment shows entanglement can persist collectively across a visible, macroscopic object • It was measured using neutron scattering, which revealed the material responding as one entangled system rather than many independent particles • This bridges the gap between microscopic quantum effects and real-world materials The deeper implication: For decades, physicists have wondered whether the strange, collective behavior seen in certain quantum materials could be explained by underlying entanglement. This result strongly suggests the answer is yes even at scales we can see and touch. It doesn’t mean your coffee mug is in a quantum superposition, but it does show that quantum correlations can dominate the physics of certain solids in ways we’re only beginning to understand. This kind of macroscopic quantum behavior could eventually help us design new materials with exotic properties, or give us new tools to study fundamental questions about quantum mechanics itself. How do you think discovering entanglement at this scale changes our understanding of where the quantum world ends and the classical world begins? Follow for more frontier quantum physics and materials science.

🚨 SCIENTISTS JUST DETECTED QUANTUM ENTANGLEMENT IN A CENTIMETER-SIZED PIECE OF METAL SOMETHING ONCE THOUGHT IMPOSSIBLE AT THIS SCALE. Researchers at the Vienna University of Technology have found clear evidence of high-degree quantum entanglement among particles inside a macroscopic crystal of a “strange metal” made of cerium, palladium, and silicon. This is one of the first times multipartite entanglement has been convincingly demonstrated in a solid object large enough to hold in your hand. Strange metals are already bizarre their electrons don’t behave like normal individual particles. Now it appears large numbers of them can act as a single, highly entangled quantum system even at everyday scales. Why this matters: • Quantum entanglement has almost always been limited to tiny numbers of particles in carefully isolated lab conditions • This experiment shows entanglement can persist collectively across a visible, macroscopic object • It was measured using neutron scattering, which revealed the material responding as one entangled system rather than many independent particles • This bridges the gap between microscopic quantum effects and real-world materials The deeper implication: For decades, physicists have wondered whether the strange, collective behavior seen in certain quantum materials could be explained by underlying entanglement. This result strongly suggests the answer is yes even at scales we can see and touch. It doesn’t mean your coffee mug is in a quantum superposition, but it does show that quantum correlations can dominate the physics of certain solids in ways we’re only beginning to understand. This kind of macroscopic quantum behavior could eventually help us design new materials with exotic properties, or give us new tools to study fundamental questions about quantum mechanics itself. How do you think discovering entanglement at this scale changes our understanding of where the quantum world ends and the classical world begins? Follow for more frontier quantum physics and materials science.

TheNewPhysics

17,001 views • 3 months ago

🚨 SCIENTISTS JUST BUILT A WIRE THAT IS ONLY ONE ATOM WIDE. Researchers have created linear carbon atomic chains essentially a string of carbon atoms bonded in a straight line suspended between two gold electrodes, and directly observed how electrons travel through them. These chains are one of the most extreme forms of matter: a true 1D carbon structure with extraordinary stiffness and unique electronic behavior. In this setup, electrons can travel through the chain in ways that reveal quantum effects not seen in conventional materials. Why this matters: • Linear carbon chains are predicted to be the strongest material known, stronger even than graphene or carbon nanotubes • They offer a platform to study true one-dimensional physics and quantum transport at the atomic scale • Understanding charge flow through single-atom chains could help design future molecular-scale electronics • The gold-carbon-gold junction acts like a prototype for atomic-scale wires and switches The deeper implication: We are now building and testing electronics at the ultimate limit of miniaturization literally one atom wide. These experiments don’t just push the boundaries of what’s physically possible; they give us a window into how matter behaves when reduced to a single dimension. The rules that govern bulk materials break down here, and new quantum phenomena emerge. This kind of work lays the groundwork for a future where electronic devices are engineered atom by atom rather than fabricated in bulk. We’re moving from “smaller transistors” to “wires made of single atoms.” How close do you think we are to practical molecular or atomic-scale electronics becoming reality? Follow for more frontier nanotechnology, quantum transport, and atomic-scale materials research.

🚨 SCIENTISTS JUST BUILT A WIRE THAT IS ONLY ONE ATOM WIDE. Researchers have created linear carbon atomic chains essentially a string of carbon atoms bonded in a straight line suspended between two gold electrodes, and directly observed how electrons travel through them. These chains are one of the most extreme forms of matter: a true 1D carbon structure with extraordinary stiffness and unique electronic behavior. In this setup, electrons can travel through the chain in ways that reveal quantum effects not seen in conventional materials. Why this matters: • Linear carbon chains are predicted to be the strongest material known, stronger even than graphene or carbon nanotubes • They offer a platform to study true one-dimensional physics and quantum transport at the atomic scale • Understanding charge flow through single-atom chains could help design future molecular-scale electronics • The gold-carbon-gold junction acts like a prototype for atomic-scale wires and switches The deeper implication: We are now building and testing electronics at the ultimate limit of miniaturization literally one atom wide. These experiments don’t just push the boundaries of what’s physically possible; they give us a window into how matter behaves when reduced to a single dimension. The rules that govern bulk materials break down here, and new quantum phenomena emerge. This kind of work lays the groundwork for a future where electronic devices are engineered atom by atom rather than fabricated in bulk. We’re moving from “smaller transistors” to “wires made of single atoms.” How close do you think we are to practical molecular or atomic-scale electronics becoming reality? Follow for more frontier nanotechnology, quantum transport, and atomic-scale materials research.

TheNewPhysics

31,491 views • 3 months ago

THIS 15-SECOND ANIMATION EXPLAINS THE BASIC MATH OF HOW ROBLOX PAYS DEVELOPERS. WHAT IT DOESN'T EXPLAIN IS THAT THE TOP GAME ON THE PLATFORM EARNED OVER $1 BILLION IN LIFETIME REVENUE FROM THE EXACT SAME FORMULA. NOBODY OUTSIDE GAMING TWITTER IS PROCESSING WHAT THIS MEANS. The formula is brutally simple. 100,000 Robux converts to $350 USD through DevEx. Top games earn billions of Robux per year. That math creates real billionaires in real bank accounts while parents tell their kids to stop playing video games and study for a real career. Here are the numbers from the last 12 months that should change how you think about this platform. Steal a Brainrot crossed $1.1 billion in lifetime revenue from a game that looks like a kid built it in a weekend. The mechanics are basic. The graphics are rough. The execution timing was perfect. The numbers don't care about quality. They care about retention. Blox Fruits earned $29 million from Premium Payouts alone. Not from in-game purchases. Not from game passes. From a passive revenue stream most developers don't even know exists. The total revenue across all streams is closer to $1.9 billion across the game's lifetime. A solo developer named ReallyReal earned $21,000 in his first month from a basic incremental tycoon game built without hiring anyone. He was living paycheck to paycheck 60 days before recording the video showing his Creator Hub dashboard. A different solo developer made $52,500 from an aimbot arena game built in 3 hours using free models with zero original code. Roblox developer payouts hit $923 million across all creators in 2024. The number cleared $1.4 billion in 2025. The trajectory for 2026 is $2 billion plus. Now here's the thesis after watching this economy for 18 months. The Roblox economy is the App Store 2008 moment that nobody outside the platform recognizes. The first wave of developers who shipped on iPhone in 2008 became millionaires by 2012. The kids shipping on Roblox in 2025 will become millionaires by 2027. The parallel is exact. A new platform. A new monetization model. A new generation of builders who understand the audience better than the previous generation. A 4-year window before saturation kills the easy money. We are 18 months into that window. What I learned watching the Roblox creators ship over the last year applies to every emerging platform. Niche selection beats execution. Shipping speed beats perfectionism. Cultural awareness beats technical skill. Distribution mechanics matter more than feature depth. These same principles apply to AI agent platforms launching in 2026. They apply to spatial computing platforms launching in 2027. They apply to whatever comes after that. The kids who learned the playbook on Roblox will dominate the next 3 platforms because they already understand how attention economies work. The parents who told them to stop playing games will spend the next decade wondering how their kid built a 7-figure business at 17. This is the last thing I'll write about Roblox for a while. The economy is real. The opportunity is open. The math is verified. Open Roblox Studio this weekend and ship something or accept that you're watching the platform from the sidelines while teenagers in Manila and Lagos and Buenos Aires build the next generation of digital wealth.

THIS 15-SECOND ANIMATION EXPLAINS THE BASIC MATH OF HOW ROBLOX PAYS DEVELOPERS. WHAT IT DOESN'T EXPLAIN IS THAT THE TOP GAME ON THE PLATFORM EARNED OVER $1 BILLION IN LIFETIME REVENUE FROM THE EXACT SAME FORMULA. NOBODY OUTSIDE GAMING TWITTER IS PROCESSING WHAT THIS MEANS. The formula is brutally simple. 100,000 Robux converts to $350 USD through DevEx. Top games earn billions of Robux per year. That math creates real billionaires in real bank accounts while parents tell their kids to stop playing video games and study for a real career. Here are the numbers from the last 12 months that should change how you think about this platform. Steal a Brainrot crossed $1.1 billion in lifetime revenue from a game that looks like a kid built it in a weekend. The mechanics are basic. The graphics are rough. The execution timing was perfect. The numbers don't care about quality. They care about retention. Blox Fruits earned $29 million from Premium Payouts alone. Not from in-game purchases. Not from game passes. From a passive revenue stream most developers don't even know exists. The total revenue across all streams is closer to $1.9 billion across the game's lifetime. A solo developer named ReallyReal earned $21,000 in his first month from a basic incremental tycoon game built without hiring anyone. He was living paycheck to paycheck 60 days before recording the video showing his Creator Hub dashboard. A different solo developer made $52,500 from an aimbot arena game built in 3 hours using free models with zero original code. Roblox developer payouts hit $923 million across all creators in 2024. The number cleared $1.4 billion in 2025. The trajectory for 2026 is $2 billion plus. Now here's the thesis after watching this economy for 18 months. The Roblox economy is the App Store 2008 moment that nobody outside the platform recognizes. The first wave of developers who shipped on iPhone in 2008 became millionaires by 2012. The kids shipping on Roblox in 2025 will become millionaires by 2027. The parallel is exact. A new platform. A new monetization model. A new generation of builders who understand the audience better than the previous generation. A 4-year window before saturation kills the easy money. We are 18 months into that window. What I learned watching the Roblox creators ship over the last year applies to every emerging platform. Niche selection beats execution. Shipping speed beats perfectionism. Cultural awareness beats technical skill. Distribution mechanics matter more than feature depth. These same principles apply to AI agent platforms launching in 2026. They apply to spatial computing platforms launching in 2027. They apply to whatever comes after that. The kids who learned the playbook on Roblox will dominate the next 3 platforms because they already understand how attention economies work. The parents who told them to stop playing games will spend the next decade wondering how their kid built a 7-figure business at 17. This is the last thing I'll write about Roblox for a while. The economy is real. The opportunity is open. The math is verified. Open Roblox Studio this weekend and ship something or accept that you're watching the platform from the sidelines while teenagers in Manila and Lagos and Buenos Aires build the next generation of digital wealth.

Deydara

25,355 views • 4 months ago

🚨 SCIENTISTS JUST FOUND A WAY TO CONTROL QUANTUM LIGHT BY SIMPLY TWISTING ATOM-THIN LAYERS LIKE TUNING A GUITAR STRING. Researchers at the University of Technology Sydney have discovered that twisting and restacking layers of hexagonal boron nitride (hBN) gives them unprecedented control over quantum emitters tiny defects that produce single photons of light. By changing the twist angle between layers, they can significantly shift the color and wavelength of the quantum light being emitted. This level of tuning is much larger than what’s typically possible with other quantum materials. Why this matters: • Quantum emitters are essential building blocks for quantum computers, secure communication, and ultra-sensitive sensors • Until now, precisely controlling their properties has been extremely difficult • hBN’s natural layered structure allows researchers to repeatedly pick up, twist, and restack layers to fine-tune the emitters • The tuning achieved here is significantly stronger than in most other platforms The deeper implication: This approach turns a fundamental property of 2D materials (twistronics) into a practical tool for quantum photonics. Instead of trying to force hBN to behave like traditional materials like diamond or silicon carbide, the team leveraged its unique strength: its ability to be twisted and reassembled like atomic-scale LEGO. If this technique can be scaled and integrated into devices, it could accelerate the development of practical quantum technologies by giving engineers a simple, powerful way to control single-photon sources on demand. How important do you think precise control over quantum light sources will be for building real-world quantum computers and networks? Follow for more frontier quantum materials and photonics breakthroughs.

🚨 SCIENTISTS JUST FOUND A WAY TO CONTROL QUANTUM LIGHT BY SIMPLY TWISTING ATOM-THIN LAYERS LIKE TUNING A GUITAR STRING. Researchers at the University of Technology Sydney have discovered that twisting and restacking layers of hexagonal boron nitride (hBN) gives them unprecedented control over quantum emitters tiny defects that produce single photons of light. By changing the twist angle between layers, they can significantly shift the color and wavelength of the quantum light being emitted. This level of tuning is much larger than what’s typically possible with other quantum materials. Why this matters: • Quantum emitters are essential building blocks for quantum computers, secure communication, and ultra-sensitive sensors • Until now, precisely controlling their properties has been extremely difficult • hBN’s natural layered structure allows researchers to repeatedly pick up, twist, and restack layers to fine-tune the emitters • The tuning achieved here is significantly stronger than in most other platforms The deeper implication: This approach turns a fundamental property of 2D materials (twistronics) into a practical tool for quantum photonics. Instead of trying to force hBN to behave like traditional materials like diamond or silicon carbide, the team leveraged its unique strength: its ability to be twisted and reassembled like atomic-scale LEGO. If this technique can be scaled and integrated into devices, it could accelerate the development of practical quantum technologies by giving engineers a simple, powerful way to control single-photon sources on demand. How important do you think precise control over quantum light sources will be for building real-world quantum computers and networks? Follow for more frontier quantum materials and photonics breakthroughs.

TheNewPhysics

18,762 views • 3 months ago

This is one week of rebuilding Soccer Pinball Pro with Astra + Unity CLI. Day 1 vs Day 7. I see so many people on here one-shotting these incredible systems and games, and I’m constantly blown away by what people are building. But my approach with this has been a little different. This isn’t a new game or an experiment. It’s a rebuild of a game I originally made in 2019, and I’ve been trying to stay true to what made that game fun while finally building everything I wanted it to be back then. In seven days I’ve gone from getting the basic game working in a different engine to rebuilding the players, improving the AI, adding passing, tackles, bicycle kicks, better ball feedback, dynamic camera movement, new lighting and shadows, grass, a new scoreboard, goal effects, and an actual PvE match mode. And I’ve been able to iterate on all of it almost as quickly as I can think of things to change. But the important part is that this is my vision. It isn’t a screenshot or concept I pulled from somewhere and asked Astra/Codex to recreate. This is a game and an idea I’ve had sitting in the back of my mind for years. I executed on that idea in 2019, but what I was capable of making then was nowhere near what I had actually envisioned. Unity itself is still probably the slowest part of this workflow. Waiting on compiles, entering play mode, importing, building, and all those little interruptions add up. Unity 7 intends to address a lot of that, which makes me even more curious about where this workflow goes next. The part that excites me most isn’t just how much I can build in a week. It’s realizing I can go back to ideas I had years ago and finally build the games I saw in my head at the time. That has completely changed how I’m thinking about game development. There’s suddenly this massive backlog of ideas that no longer feels out of reach. Unity OpenAI

This is one week of rebuilding Soccer Pinball Pro with Astra + Unity CLI. Day 1 vs Day 7. I see so many people on here one-shotting these incredible systems and games, and I’m constantly blown away by what people are building. But my approach with this has been a little different. This isn’t a new game or an experiment. It’s a rebuild of a game I originally made in 2019, and I’ve been trying to stay true to what made that game fun while finally building everything I wanted it to be back then. In seven days I’ve gone from getting the basic game working in a different engine to rebuilding the players, improving the AI, adding passing, tackles, bicycle kicks, better ball feedback, dynamic camera movement, new lighting and shadows, grass, a new scoreboard, goal effects, and an actual PvE match mode. And I’ve been able to iterate on all of it almost as quickly as I can think of things to change. But the important part is that this is my vision. It isn’t a screenshot or concept I pulled from somewhere and asked Astra/Codex to recreate. This is a game and an idea I’ve had sitting in the back of my mind for years. I executed on that idea in 2019, but what I was capable of making then was nowhere near what I had actually envisioned. Unity itself is still probably the slowest part of this workflow. Waiting on compiles, entering play mode, importing, building, and all those little interruptions add up. Unity 7 intends to address a lot of that, which makes me even more curious about where this workflow goes next. The part that excites me most isn’t just how much I can build in a week. It’s realizing I can go back to ideas I had years ago and finally build the games I saw in my head at the time. That has completely changed how I’m thinking about game development. There’s suddenly this massive backlog of ideas that no longer feels out of reach. Unity OpenAI

devseb

134,612 views • 11 days ago

For the past few weeks I’ve been teaching 50+ kids how to create their own games with AI. The results have been incredible 🤯 I started with my 5 y/o nephew because I was worried about him spending hours doomscrolling and consuming brainrot content. He built his first game using v0, though I had to walk him through each step. Watching kids interact with these tools taught me so much about how they think, where they get stuck, and what keeps them motivated. The moment that really struck me came right after he finished that first game. Every time I saw him afterward, he’d run up and ask, “Did you bring your laptop so I can keep playing?”. For him, “playing” meant creating. That kind of excitement is organic pull. Don’t get me wrong, I love v0 and Lovable. They’re insanely powerful. Their UIs just aren’t designed for kids, and that’s totally fine. Kids still need guidance, structure, and a bit of tutoring to turn ideas into something playable. I’m seeing tech leaders push in this direction too, and I think there’s a real opportunity here (Matias Woloski Thomas Wolf). Kids are the future, and I don’t want to live in a world where they spend precious time consuming instead of creating. That’s why I love tools like v0, Lovable, wabi , Cursor . They’re empowering more people to become creators. I want that same feeling for kids. What Guillermo is saying is real. Kids need to be AI-literate from the outset. It honestly makes me sad to think about my nephew growing up and falling behind on AI and everything happening around him because he’s stuck in Roblox or TikTok. That’s why I built Rabbit 🐰 for him. It started as a simple prototype, but somehow I ended up talking with 200+ parents and kids, tech leaders, investors, and people I never imagined meeting around the world. Rabbit now has 100+ people on the waitlist, and 10 kids are using it two to three times per week on average to create their own games 🫡 I’m not sure yet if this will become my full-time project, but I deeply care about it. If you’re building in this space, I’d love to connect and share ideas. And if you’re a parent interested in Rabbit, I’d love your feedback. Sharing a short video of kids using Rabbit below:

For the past few weeks I’ve been teaching 50+ kids how to create their own games with AI. The results have been incredible 🤯 I started with my 5 y/o nephew because I was worried about him spending hours doomscrolling and consuming brainrot content. He built his first game using v0, though I had to walk him through each step. Watching kids interact with these tools taught me so much about how they think, where they get stuck, and what keeps them motivated. The moment that really struck me came right after he finished that first game. Every time I saw him afterward, he’d run up and ask, “Did you bring your laptop so I can keep playing?”. For him, “playing” meant creating. That kind of excitement is organic pull. Don’t get me wrong, I love v0 and Lovable. They’re insanely powerful. Their UIs just aren’t designed for kids, and that’s totally fine. Kids still need guidance, structure, and a bit of tutoring to turn ideas into something playable. I’m seeing tech leaders push in this direction too, and I think there’s a real opportunity here (Matias Woloski Thomas Wolf). Kids are the future, and I don’t want to live in a world where they spend precious time consuming instead of creating. That’s why I love tools like v0, Lovable, wabi , Cursor . They’re empowering more people to become creators. I want that same feeling for kids. What Guillermo is saying is real. Kids need to be AI-literate from the outset. It honestly makes me sad to think about my nephew growing up and falling behind on AI and everything happening around him because he’s stuck in Roblox or TikTok. That’s why I built Rabbit 🐰 for him. It started as a simple prototype, but somehow I ended up talking with 200+ parents and kids, tech leaders, investors, and people I never imagined meeting around the world. Rabbit now has 100+ people on the waitlist, and 10 kids are using it two to three times per week on average to create their own games 🫡 I’m not sure yet if this will become my full-time project, but I deeply care about it. If you’re building in this space, I’d love to connect and share ideas. And if you’re a parent interested in Rabbit, I’d love your feedback. Sharing a short video of kids using Rabbit below:

Fausto

44,125 views • 8 months ago

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

Mike Futia

38,959 views • 5 months ago

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

Sudo su

58,717 views • 6 months ago

Fable 5 comes back！It can now build playable game prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.

Fable 5 comes back！It can now build playable game prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.

Rachel🥥

61,994 views • 2 months ago

GTA 6 drops in 6 months > 0.01% will sell tools and make $50K+ > 0.1% will run servers at $5K/mo > 1% will stream and cover rent > 98.89% will just play be at least 0.1%. (with Claude Code it's easy mission) Some ideas nobody's running yet: 1. Sell FiveM scripts with zero coding experience Claude writes Lua now. server owners pay $50-389 per script on the Cfx Marketplace developers on Tebex report averaging €5,000+/mo within 90 days of launching you don't need to know code. you need to know what server owners are desperate for: - custom job systems - economy balancers - UI panels - vehicle systems - whitelist managers 1 script/week × 7 months = 30 products if each sells 10 copies at $100 avg, DO THE MATH 2. Run a paid RP server as a subscription business this is the one that sounds fake until you do the math 50 members × $15/mo = $750/mo 100 members × $20/mo = $2,000/mo 200 members × $20/mo = $4,000/mo 500 members × $25/mo = $12,500/mo the top servers have WAITLISTS. people paying to get in Claude builds every script you need: jobs, economy, housing, factions, police systems you're not a developer. you're running a private club where members pay to stay then grab gaming UGC clips and run them through an AI UGC engine (shorts, reels, TikToks) BOOM, nearly free user acquisition and you don't need to explain the demand. if they're watching GTA content, they're already dying to play. just show them your server exists 3. Build AI-powered NPC packs for server owners RP servers live or die on immersion. right now most NPCs are lifeless markers on a map connect Claude API to in-game NPCs and suddenly: - shop owners haggle with players - cops interrogate with real dialogue - quest givers remember your backstory - bartenders gossip about other players' crimes no server has this yet. package it as a plug-and-play script at $200-500/server 100 servers and you feel good on what's nobody selling yet 4. Position yourself for the $240M GTA 6 creator economy Rockstar acquired FiveM in 2023. launched the paid marketplace January 2026 currently hiring 4 Creator Platform roles they're building the Roblox of GTA Roblox paid creators $1B in 2025. top 10 averaged $33.9M each GTA 6's player base is older, richer, and already spent $8.6B on GTA Online the creator cut of that $8.6B was zero. because there was no creator economy that changes with GTA 6 even if only 100,000 creators show up and it matches Roblox payouts that's $10K/creator average. top 1% will clear $500K+ for making content inside a video game this is the rare bottleneck where demand is guaranteed 6 months from now every niche will be taken right now most of them are empty the earlier you start, the less competition you face it's your turn ❤️

GTA 6 drops in 6 months > 0.01% will sell tools and make $50K+ > 0.1% will run servers at $5K/mo > 1% will stream and cover rent > 98.89% will just play be at least 0.1%. (with Claude Code it's easy mission) Some ideas nobody's running yet: 1. Sell FiveM scripts with zero coding experience Claude writes Lua now. server owners pay $50-389 per script on the Cfx Marketplace developers on Tebex report averaging €5,000+/mo within 90 days of launching you don't need to know code. you need to know what server owners are desperate for: - custom job systems - economy balancers - UI panels - vehicle systems - whitelist managers 1 script/week × 7 months = 30 products if each sells 10 copies at $100 avg, DO THE MATH 2. Run a paid RP server as a subscription business this is the one that sounds fake until you do the math 50 members × $15/mo = $750/mo 100 members × $20/mo = $2,000/mo 200 members × $20/mo = $4,000/mo 500 members × $25/mo = $12,500/mo the top servers have WAITLISTS. people paying to get in Claude builds every script you need: jobs, economy, housing, factions, police systems you're not a developer. you're running a private club where members pay to stay then grab gaming UGC clips and run them through an AI UGC engine (shorts, reels, TikToks) BOOM, nearly free user acquisition and you don't need to explain the demand. if they're watching GTA content, they're already dying to play. just show them your server exists 3. Build AI-powered NPC packs for server owners RP servers live or die on immersion. right now most NPCs are lifeless markers on a map connect Claude API to in-game NPCs and suddenly: - shop owners haggle with players - cops interrogate with real dialogue - quest givers remember your backstory - bartenders gossip about other players' crimes no server has this yet. package it as a plug-and-play script at $200-500/server 100 servers and you feel good on what's nobody selling yet 4. Position yourself for the $240M GTA 6 creator economy Rockstar acquired FiveM in 2023. launched the paid marketplace January 2026 currently hiring 4 Creator Platform roles they're building the Roblox of GTA Roblox paid creators $1B in 2025. top 10 averaged $33.9M each GTA 6's player base is older, richer, and already spent $8.6B on GTA Online the creator cut of that $8.6B was zero. because there was no creator economy that changes with GTA 6 even if only 100,000 creators show up and it matches Roblox payouts that's $10K/creator average. top 1% will clear $500K+ for making content inside a video game this is the rare bottleneck where demand is guaranteed 6 months from now every niche will be taken right now most of them are empty the earlier you start, the less competition you face it's your turn ❤️

Ronin

1,487,314 views • 4 months ago

And finally! The Holy Grail! The Artificial Granite! Using Caveman Resources Only! Oh, this was a painful and long development process! Just in time! I have almost deleted this chapter from my new book as this thing nearly missed the deadline! But luckily 🍀 Is there quartz in it? Yeees! A lot! In fact, as many as I want: I can mix aaanything into this material, including quartz grains. (In fact I can create stone even from 🐴 💩 or whatever 🤣) Is the binder SiO2, to fool archeologists using mass spectrometry and XRF? Yeeees! Indeed! But is the binder quartz? Noooo! (Btw: this👆🏻would be the right question to ask.) Can we tell the quarry of this artificial stone ball using the common analysis tools? Sure, we can! This “carved” granite ball is from South Africa, so some 10.000 kms away. It was carved there and shipped to Hungary - in a paper bag as a powder 🤣 Is it waterproof? Yes. Boiling proof? Yes. Acid proof? Yes. Alkali proof? Yes. Mohs scale: 6-7 Ideal to fool unsuspecting people. Ingredients: • Waterglass • “Secret ingredient” I’ll reveal later • Billion years old, natural granite powder • created on room temperature I also attached the video of the 20 minutes boiling test. (Explain this to me: why do we exactly expect the glass binder to fall apart in boiling water? Glass is glass.) Ah! Almost forgot! Do you need a nub to create it in large size? It depends. If you happen to build a wall from it, then… Absolutely! This mix releases so much water it’s unbelievable! You need to drain it or else you find your stone in a puddle. Bubbles 🫧? Glad you asked. None. This is a “dry” technology, meaning: you press the water out from the mix, from a semi-dry material. Jimmy Corsetti you asked the first piece of the artificial granite. No luck, you’ll not get it. You know exactly why. (Just between you and me) Brian Roemmele I think this development is important Joe Rogan I’m ready to tell you the secret first as someone who did a lot of things to clear the picture of the ancient past. Ben van Kerkwyk - UnchartedX I learned a lot from your excellent videos. One day I’ll cast precision stone vases 🏺 for you! 😉 The Land Of Chem you are my hero @CosmicSummit24 George Howard I’m ready. 2025 will be “the year”! Now please share this info to the world. This knowledge is important. Even if our current generation will not accept it. I don’t care, we’ll die out sooner or later, and the next gen will take it as granted. As always. This is human nature. Someone please tell Joe Rogan that I’m both ready and open to cast a fake granite in his show in live revealing the secret.

And finally! The Holy Grail! The Artificial Granite! Using Caveman Resources Only! Oh, this was a painful and long development process! Just in time! I have almost deleted this chapter from my new book as this thing nearly missed the deadline! But luckily 🍀 Is there quartz in it? Yeees! A lot! In fact, as many as I want: I can mix aaanything into this material, including quartz grains. (In fact I can create stone even from 🐴 💩 or whatever 🤣) Is the binder SiO2, to fool archeologists using mass spectrometry and XRF? Yeeees! Indeed! But is the binder quartz? Noooo! (Btw: this👆🏻would be the right question to ask.) Can we tell the quarry of this artificial stone ball using the common analysis tools? Sure, we can! This “carved” granite ball is from South Africa, so some 10.000 kms away. It was carved there and shipped to Hungary - in a paper bag as a powder 🤣 Is it waterproof? Yes. Boiling proof? Yes. Acid proof? Yes. Alkali proof? Yes. Mohs scale: 6-7 Ideal to fool unsuspecting people. Ingredients: • Waterglass • “Secret ingredient” I’ll reveal later • Billion years old, natural granite powder • created on room temperature I also attached the video of the 20 minutes boiling test. (Explain this to me: why do we exactly expect the glass binder to fall apart in boiling water? Glass is glass.) Ah! Almost forgot! Do you need a nub to create it in large size? It depends. If you happen to build a wall from it, then… Absolutely! This mix releases so much water it’s unbelievable! You need to drain it or else you find your stone in a puddle. Bubbles 🫧? Glad you asked. None. This is a “dry” technology, meaning: you press the water out from the mix, from a semi-dry material. Jimmy Corsetti you asked the first piece of the artificial granite. No luck, you’ll not get it. You know exactly why. (Just between you and me) Brian Roemmele I think this development is important Joe Rogan I’m ready to tell you the secret first as someone who did a lot of things to clear the picture of the ancient past. Ben van Kerkwyk - UnchartedX I learned a lot from your excellent videos. One day I’ll cast precision stone vases 🏺 for you! 😉 The Land Of Chem you are my hero @CosmicSummit24 George Howard I’m ready. 2025 will be “the year”! Now please share this info to the world. This knowledge is important. Even if our current generation will not accept it. I don’t care, we’ll die out sooner or later, and the next gen will take it as granted. As always. This is human nature. Someone please tell Joe Rogan that I’m both ready and open to cast a fake granite in his show in live revealing the secret.

Marcell Fóti 🪨

42,705 views • 1 year ago

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain

281,328 views • 3 months ago