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Island map progressing along nicely in engine. 🏝️👀 Lots of optimizations here. Hitting 140+ frames per second on a mid-tier machine. Custom surface textures going in next. After that we'll stack on the character controller, weapons, UI, VFX, SFX and battle modes we've got built out. Getting closer each...

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Rafsby | a KID called BEAST

31,073 subscribers

11,235 Aufrufe • vor 2 Jahren •via X (Twitter)

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Profilbild von GHOST 🎮
GHOST 🎮vor 2 Jahren

Linking the style - keep cooking

Profilbild von Rafsby | a KID called BEAST
Rafsby | a KID called BEASTvor 2 Jahren

Appreciate that brother!

Profilbild von Tokah 🏯
Tokah 🏯vor 2 Jahren

My brother is out here setting the bar high.

Profilbild von Hartwell
Hartwellvor 2 Jahren

AKCB is cooking

Profilbild von Rafsby | a KID called BEAST
Rafsby | a KID called BEASTvor 2 Jahren

Yes ser! 🙏👀

Profilbild von Plato
Platovor 2 Jahren

brick by brick 🫡

Profilbild von Rafsby | a KID called BEAST
Rafsby | a KID called BEASTvor 2 Jahren

🧱 🧱🧱 🧱🧱🧱 🧱🧱🧱🧱 🧱🧱🧱🧱🧱👀

Profilbild von merpppo
merpppovor 2 Jahren

Song on point 🔥🔥🔥

Profilbild von Rafsby | a KID called BEAST
Rafsby | a KID called BEASTvor 2 Jahren

Haha thank you🙏

Profilbild von Jay🧊
Jay🧊vor 2 Jahren

It’s looking amazing🔥🙌

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98,044 Aufrufe • vor 1 Monat

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347,751 Aufrufe • vor 3 Jahren

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Shane van Gisbergen keeping it light talking about his matchup with Ryan Preece in the first round of the In-Season Challenge "I see he's been getting pretty lippy online, so that's a bit of fun. We were giving each other shit the other day from Pocono when he was throwing signs at me and stuff. But he's a good dude. "We had a little tussle last week, he kind of pulled a shitty move on me and half-spun me so I got him back. But yeah, I look forward to it. It's cool that there's something else to focus on, and he's been going really well on his road courses this year. "I'm sure I'll see him on Sunday, and it'll be a tough but fair battle and we'll see who gets to the next round. I look forward to it."

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490,415 Aufrufe • vor 3 Monaten

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Eric Daugherty

137,952 Aufrufe • vor 2 Monaten

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After 1,000,000+ engineering hours, we're ready to give an update on what we've been making and how. Construction is the largest, least productive industry on Earth, and it’s starting to affect housing. We're here to fix that. Thesis: We can build quality homes — any type — faster and cheaper than most of the industry through industrialization. Here's how: Construction's biggest problem is logistics: getting the right materials, people, and information in the right place at the right time. So we invented a new type of manufacturing, Mobile Micro-Factories — small, modular, local factories that make and prepare every part of a home, then deliver it in stages, last-mile, to the site ready to assemble with non-specialized labor. We’re built to scale fast — we can quickly copy our factories into hundreds of markets worldwide. This is a really hard problem to solve; we're going to get there. We'll walk through the nuances in more detail over the next few weeks. Full film dropping soon.

Aleksandr Gampel

184,393 Aufrufe • vor 5 Monaten

I've been spending more time with Bezi to see how far I can push vibe coding a game on the Unity Editor. So far, I'm pretty happy with what I can achieve with Bezi. Here are some learnings: - Even though I use Bezi to do all agentic coding, I still have to perform a few small manual tasks in the Unity Editor - As a result, I feel like I am getting a hang of Unity's complex and clunky UI, which actually feels good! - This is one of those examples where Vibe Coding is a great way to learn game dev. - For big features, I can't state the importance of asking the agent to create a plan first before implementing the feature. It can work wonders. Most of the bigger features/ssytems starts with a clear plan. - The biggest strength about working with Unity Engine is the Unity Asset Store, there's so much good stuff in there, 3D assets, shaders, vfx etc that can really spice up your game, that other game enginers will need to build from scratch. - Because Unity Assets Stores sell UI assets packs, I was able to implement decent looking UI fairly quickly. For those of you that vibe code games, you know how much of a pain it is to implement UI. - I did meet a few hiccups along the way where Bezi seems to struggle a little with implementing some features, but usually with some retries it works out at the end, though it burns a ton of tokens. After spending more time with Bezi, I'm still feeling good about using it. I am able to get this PvZ style autobattler working in a few days!
0:20

I've been spending more time with Bezi to see how far I can push vibe coding a game on the Unity Editor. So far, I'm pretty happy with what I can achieve with Bezi. Here are some learnings: - Even though I use Bezi to do all agentic coding, I still have to perform a few small manual tasks in the Unity Editor - As a result, I feel like I am getting a hang of Unity's complex and clunky UI, which actually feels good! - This is one of those examples where Vibe Coding is a great way to learn game dev. - For big features, I can't state the importance of asking the agent to create a plan first before implementing the feature. It can work wonders. Most of the bigger features/ssytems starts with a clear plan. - The biggest strength about working with Unity Engine is the Unity Asset Store, there's so much good stuff in there, 3D assets, shaders, vfx etc that can really spice up your game, that other game enginers will need to build from scratch. - Because Unity Assets Stores sell UI assets packs, I was able to implement decent looking UI fairly quickly. For those of you that vibe code games, you know how much of a pain it is to implement UI. - I did meet a few hiccups along the way where Bezi seems to struggle a little with implementing some features, but usually with some retries it works out at the end, though it burns a ton of tokens. After spending more time with Bezi, I'm still feeling good about using it. I am able to get this PvZ style autobattler working in a few days!

Danny Limanseta

13,577 Aufrufe • vor 6 Monaten

Robert Donat and Madeleine Carroll had never met before the first day of filming of Alfred Hitchcock's "The 39 Steps" (1935). They were handcuffed together on the first morning immediately after being introduced for a scene. When the scene was filmed, Hitchcock had lost the keys to the handcuffs. For nearly an hour, while a hunt for the "missing" key was going on, Donat and Carroll were talking about their lives & exchanged experiences. After Hitchcock noticed that they were getting along well, he took out the "missing" key from his pocket, released them from the cuffs and said with a grin on his face, "Now that you two know each other we can go ahead." "We had never met before our making of 'The 39 Steps' together ('together-' is a particularly suitable word here.) On our first morning at the studio, immediately after being introduced, we were shackled in a pair of handcuffs, each having one hand imprisoned, and commenced to act a scene. Such a start was not exactly helpful in establishing relations, we thought, and these feelings were not lessened when, at the conclusion of the scene 'Hitch' lost the key of the handcuffs! For nearly an hour Madeleine and I shared this enforced companionship, while the hunt for the key of the handcuffs was sustained. There was nothing else to do, so we talked of our mutual friends, of our ambitions, and of film matters generally. Gradually our reserve thawed as we exchanged experiences. When Hitch saw that we were getting along famously, he extracted the 'missing' key from his waistcoat pocket, released us, and said, with a satisfied grin, 'Now that you two know each other we can go ahead.'" ("Mr. Chips: The Life of Robert Donat", Kenneth Barrow, 1985) P.S: On this day, 91 years ago, "The 39 Steps" (1935) premiered in London, UK.
1:56

Robert Donat and Madeleine Carroll had never met before the first day of filming of Alfred Hitchcock's "The 39 Steps" (1935). They were handcuffed together on the first morning immediately after being introduced for a scene. When the scene was filmed, Hitchcock had lost the keys to the handcuffs. For nearly an hour, while a hunt for the "missing" key was going on, Donat and Carroll were talking about their lives & exchanged experiences. After Hitchcock noticed that they were getting along well, he took out the "missing" key from his pocket, released them from the cuffs and said with a grin on his face, "Now that you two know each other we can go ahead." "We had never met before our making of 'The 39 Steps' together ('together-' is a particularly suitable word here.) On our first morning at the studio, immediately after being introduced, we were shackled in a pair of handcuffs, each having one hand imprisoned, and commenced to act a scene. Such a start was not exactly helpful in establishing relations, we thought, and these feelings were not lessened when, at the conclusion of the scene 'Hitch' lost the key of the handcuffs! For nearly an hour Madeleine and I shared this enforced companionship, while the hunt for the key of the handcuffs was sustained. There was nothing else to do, so we talked of our mutual friends, of our ambitions, and of film matters generally. Gradually our reserve thawed as we exchanged experiences. When Hitch saw that we were getting along famously, he extracted the 'missing' key from his waistcoat pocket, released us, and said, with a satisfied grin, 'Now that you two know each other we can go ahead.'" ("Mr. Chips: The Life of Robert Donat", Kenneth Barrow, 1985) P.S: On this day, 91 years ago, "The 39 Steps" (1935) premiered in London, UK.

DepressedBergman

57,307 Aufrufe • vor 4 Monaten

Sam Altman says the AI infrastructure race is not about bigger chatbots. It is about shifting the planet's intellectual output from human brains to AI brains. "If people knew what we could do with compute, they would want way, way more." "The thing I am personally most excited about is to use AI and lots of compute to discover new science." "A recent cool example here is we built the Sora Android app using Codex... in less than a month." "You can imagine that way much further, where entire companies can build their products using lots of compute." Then he gives the scale: "Let's say that an AI company today might be generating something on the order of 10 trillion tokens a day out of frontier models." "We're going to have these models at a company be outputting more tokens per day than all of humanity put together, and then 10 times that, and then 100 times that." The bottleneck is moving from software talent to compute supply, inference speed, product integration, and where all that machine intelligence gets pointed.
3:31

Sam Altman says the AI infrastructure race is not about bigger chatbots. It is about shifting the planet's intellectual output from human brains to AI brains. "If people knew what we could do with compute, they would want way, way more." "The thing I am personally most excited about is to use AI and lots of compute to discover new science." "A recent cool example here is we built the Sora Android app using Codex... in less than a month." "You can imagine that way much further, where entire companies can build their products using lots of compute." Then he gives the scale: "Let's say that an AI company today might be generating something on the order of 10 trillion tokens a day out of frontier models." "We're going to have these models at a company be outputting more tokens per day than all of humanity put together, and then 10 times that, and then 100 times that." The bottleneck is moving from software talent to compute supply, inference speed, product integration, and where all that machine intelligence gets pointed.

Karl Mehta

16,619 Aufrufe • vor 3 Monaten

Costume designer Michael Wilkinson describes changes being made to an earlier version of Henry Cavill's Superman suit after a camera test behind the scenes of Zack Snyder's Man of Steel. "So what we're looking at here is the Superman suit from the second camera test. And the notes we got back from that we're going to make a few adjustments for our next camera test. "We decided that we didn't like this central shape so we've cut that out. We've made a few adjustments to these lines here to act like the idea that it had a more geometric, slightly harder, stronger line through here, a little bit like the cut lines of the human anatomy. "We're making our buckle a little bit bigger. And in general we're just adjusting the thickness of a lot of these pieces so it really feels like they're more integrated with the suit that they just sort of are like almost like an embossing. "And with just some general R&D work that we're doing with the way that the cape attaches to the suit, there's a lot going on here. "You're trying to make something beautiful and sculptural disappear into an impossibly thin membrane here and make it all look as beautiful as possible because we're going to be really close up for a lot of the movies so we're spending a lot of time and resources in getting that right. "It definitely pays respect to the classical details of the Superman costume but we're rendering it in a very high-tech current kind of a process."
1:14

Costume designer Michael Wilkinson describes changes being made to an earlier version of Henry Cavill's Superman suit after a camera test behind the scenes of Zack Snyder's Man of Steel. "So what we're looking at here is the Superman suit from the second camera test. And the notes we got back from that we're going to make a few adjustments for our next camera test. "We decided that we didn't like this central shape so we've cut that out. We've made a few adjustments to these lines here to act like the idea that it had a more geometric, slightly harder, stronger line through here, a little bit like the cut lines of the human anatomy. "We're making our buckle a little bit bigger. And in general we're just adjusting the thickness of a lot of these pieces so it really feels like they're more integrated with the suit that they just sort of are like almost like an embossing. "And with just some general R&D work that we're doing with the way that the cape attaches to the suit, there's a lot going on here. "You're trying to make something beautiful and sculptural disappear into an impossibly thin membrane here and make it all look as beautiful as possible because we're going to be really close up for a lot of the movies so we're spending a lot of time and resources in getting that right. "It definitely pays respect to the classical details of the Superman costume but we're rendering it in a very high-tech current kind of a process."

Zack Snyder Film Commentary

30,599 Aufrufe • vor 8 Monaten

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below
2:09

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

15,822 Aufrufe • vor 4 Monaten

FABLE 5 JUST REBUILT FORTNITE FROM 1 PROMPT IN 20 MINUTES. EPIC NEEDED HUNDREDS OF ENGINEERS AND 6 YEARS. The test was simple: Fable 5 vs GLM 5.2, one prompt each, a 100-player battle royale running in the browser with no engine and no team. GLM went first and checked all 8 milestones. The game loaded with a battle bus, a generated map, Tilted Towers, even health and shield bars ripped straight from 2018. Then it fell apart. 2 FPS on landing, S walking forward and W walking backward, a gun that fires upward and a camera that refuses to look up. First fight ended with the enemy standing above physically impossible to aim at. Then Fable 5 took the same prompt on max effort. Different game entirely. Real character models instead of beans, hit reactions lighting up on contact, a shadow tracking every player, movement that just works out of the box. One follow-up prompt “add more Fortnite elements” and it shipped gliders, chests, shield potions, medkits and a sniper without breaking a thing. Final circle at 3:28 AM. Storm closing, 0 bullets left, box to box with medkit spam and a last-second swap to the SMG. Victory Royale in a game an AI wrote from a single sentence. GLM checked more boxes. Fable built something you could actually play and no benchmark on earth measures that gap. Epic needed 6 years. Fable 5 needed 1 prompt.
7:17

FABLE 5 JUST REBUILT FORTNITE FROM 1 PROMPT IN 20 MINUTES. EPIC NEEDED HUNDREDS OF ENGINEERS AND 6 YEARS. The test was simple: Fable 5 vs GLM 5.2, one prompt each, a 100-player battle royale running in the browser with no engine and no team. GLM went first and checked all 8 milestones. The game loaded with a battle bus, a generated map, Tilted Towers, even health and shield bars ripped straight from 2018. Then it fell apart. 2 FPS on landing, S walking forward and W walking backward, a gun that fires upward and a camera that refuses to look up. First fight ended with the enemy standing above physically impossible to aim at. Then Fable 5 took the same prompt on max effort. Different game entirely. Real character models instead of beans, hit reactions lighting up on contact, a shadow tracking every player, movement that just works out of the box. One follow-up prompt “add more Fortnite elements” and it shipped gliders, chests, shield potions, medkits and a sniper without breaking a thing. Final circle at 3:28 AM. Storm closing, 0 bullets left, box to box with medkit spam and a last-second swap to the SMG. Victory Royale in a game an AI wrote from a single sentence. GLM checked more boxes. Fable built something you could actually play and no benchmark on earth measures that gap. Epic needed 6 years. Fable 5 needed 1 prompt.

West Lord

80,912 Aufrufe • vor 3 Monaten

During the snowstorm that is sweeping through the U.S. right now, the safest vehicle you can be in is in a Tesla with FSD bc it can react faster than any human or gas car. An electric motors respond in milliseconds. When a wheel starts to slip on snow or ice, Tesla’s sensors detect it up to 1,000 times per second, and the computer instantly cuts or redistributes power to the wheels with grip. On the other hand, gas cars have major delay and don’t have this capability… That means if your Tesla hits a tiny patch of ice, the car corrects it right away, even before you even feel it, almost like the car is thinking ahead. If you don’t believe me listen to the man that built it. Joe: “What happens if you get sideways in the snow? Like, does it correct for that?” Elon: “Yeah. Electric cars have really great traction control because the reaction time is so fast. So, with a gasoline car, you’ve got a lot of latency. It takes a while for the engine to react, but for electric motors, incredibly precise…. But to an electric motor, it’s operating at the millisecond level. So, it can turn on and off traction within, like, inches of getting on… let’s say, you’re driving on a patch of ice, it will turn traction off, and then turn it on a couple inches right after the ice, like a little patch of ice because in the frame of the electric motor, you’re moving incredibly slowly. You’re like a, you’re a snail. You’re just moving so slowly because it can see at a thousand frames a second. And so, it’s like, say ‘one Mississippi’, it just thought about things a thousand times.” Joe: “So, it has realized that your wheels are not getting traction. It understands there’s some slippery surface that you’re driving on.” Elon: “Yes.” Joe: “And it makes adjustments in real-time.” Elon: “Yes, in milliseconds.” Joe: “That would be so much safer than a regular car.” AKA, buy a Tesla if you want to be in the safest car in the world. 💯
3:26

During the snowstorm that is sweeping through the U.S. right now, the safest vehicle you can be in is in a Tesla with FSD bc it can react faster than any human or gas car. An electric motors respond in milliseconds. When a wheel starts to slip on snow or ice, Tesla’s sensors detect it up to 1,000 times per second, and the computer instantly cuts or redistributes power to the wheels with grip. On the other hand, gas cars have major delay and don’t have this capability… That means if your Tesla hits a tiny patch of ice, the car corrects it right away, even before you even feel it, almost like the car is thinking ahead. If you don’t believe me listen to the man that built it. Joe: “What happens if you get sideways in the snow? Like, does it correct for that?” Elon: “Yeah. Electric cars have really great traction control because the reaction time is so fast. So, with a gasoline car, you’ve got a lot of latency. It takes a while for the engine to react, but for electric motors, incredibly precise…. But to an electric motor, it’s operating at the millisecond level. So, it can turn on and off traction within, like, inches of getting on… let’s say, you’re driving on a patch of ice, it will turn traction off, and then turn it on a couple inches right after the ice, like a little patch of ice because in the frame of the electric motor, you’re moving incredibly slowly. You’re like a, you’re a snail. You’re just moving so slowly because it can see at a thousand frames a second. And so, it’s like, say ‘one Mississippi’, it just thought about things a thousand times.” Joe: “So, it has realized that your wheels are not getting traction. It understands there’s some slippery surface that you’re driving on.” Elon: “Yes.” Joe: “And it makes adjustments in real-time.” Elon: “Yes, in milliseconds.” Joe: “That would be so much safer than a regular car.” AKA, buy a Tesla if you want to be in the safest car in the world. 💯

Teslaconomics

38,945 Aufrufe • vor 8 Monaten