Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

A really impressive set of Three.js graphics experiments just got open sourced, and these are much more than little visual demos. They are basically reusable procedural systems for oceans, vegetation, fluids and even whole planets. 🔹 Poseidon A real-time FFT ocean running on WebGPU. It simulates large swells, smaller...

TokenGremlin's profile picture

Token Gremlin

2,206 subscribers

20,884 görüntüleme • 3 gün önce •via X (Twitter)

Bilim & TeknolojiEğitimOyun
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

At Avalon we are building "Real-time creating" - the ability to generate gameplay ready persistent worlds prompted from text. While others are building real-time video world models, Avalon is building real-time world generation inside a fully playable, persistent multiplayer engine. Internally running at 3840×2180 at 60 FPS. Built on Unreal Engine. Multiplayer by default. Persistent by default. Gameplay-ready by default. This is not a video latent replay. Not a simulation of interaction. It is a real 3D world with physics, logic, and authoritative multiplayer state. Avalon is trained on proprietary Avalon interaction data and powered by a hybrid system that combines language understanding, 3D model generation, procedural systems, and structured gameplay logic synthesis. Players can walk through a live world and generate environments, assets, mechanics, and entirely new gameplay modes using natural language. We accomplish this through a combination of 3D model generation, game logic generation based on our proprietary systems, and AI driven world creation. While other players are inside it. Changes persist instantly. State is synchronized in real time. Creation happens inside the world, not outside of it. Describe a biome. Spawn a civilization. Create a survival mode. Build a dungeon crawler. Launch a new game inside the world. Avalon interprets intent and integrates it directly into the live multiplayer environment. This is not a world model predicting video. This is a gameplay engine that understands language. If you can describe it, you can build it. And others can walk into it instantly.
1:09

At Avalon we are building "Real-time creating" - the ability to generate gameplay ready persistent worlds prompted from text. While others are building real-time video world models, Avalon is building real-time world generation inside a fully playable, persistent multiplayer engine. Internally running at 3840×2180 at 60 FPS. Built on Unreal Engine. Multiplayer by default. Persistent by default. Gameplay-ready by default. This is not a video latent replay. Not a simulation of interaction. It is a real 3D world with physics, logic, and authoritative multiplayer state. Avalon is trained on proprietary Avalon interaction data and powered by a hybrid system that combines language understanding, 3D model generation, procedural systems, and structured gameplay logic synthesis. Players can walk through a live world and generate environments, assets, mechanics, and entirely new gameplay modes using natural language. We accomplish this through a combination of 3D model generation, game logic generation based on our proprietary systems, and AI driven world creation. While other players are inside it. Changes persist instantly. State is synchronized in real time. Creation happens inside the world, not outside of it. Describe a biome. Spawn a civilization. Create a survival mode. Build a dungeon crawler. Launch a new game inside the world. Avalon interprets intent and integrates it directly into the live multiplayer environment. This is not a world model predicting video. This is a gameplay engine that understands language. If you can describe it, you can build it. And others can walk into it instantly.

AVALON

63,613 görüntüleme • 6 ay önce

A guy named Vladimir Romanyuk literally simulated the entire universe on a consumer PC. It is called SpaceEngine. Open it and you can leave Earth, pass the Moon, cross the Solar System, exit the Milky Way, and reach a galaxy billions of light-years away. The entire journey is seamless. You can explore: > Known planets and exoplanets > Black holes with glowing disks > Nebulae and star clusters > Asteroids and comets > Billions of unknown galaxies > Trillions of planetary systems Real objects are placed using data from astronomical catalogs. Where humanity’s maps end, SpaceEngine uses science-based procedural generation to create stars, planets, atmospheres, oceans, and entire galaxies that could exist. You can land on almost any planet or moon and explore its alien landscape. You can accelerate time and watch planets complete their orbits in seconds. You can even pilot spacecraft, enter black holes, explore the universe in VR, or build your own solar systems. Most games create a few worlds and call them enormous. Vladimir built something so large that Earth becomes nearly impossible to find once you leave it.
1:31

A guy named Vladimir Romanyuk literally simulated the entire universe on a consumer PC. It is called SpaceEngine. Open it and you can leave Earth, pass the Moon, cross the Solar System, exit the Milky Way, and reach a galaxy billions of light-years away. The entire journey is seamless. You can explore: > Known planets and exoplanets > Black holes with glowing disks > Nebulae and star clusters > Asteroids and comets > Billions of unknown galaxies > Trillions of planetary systems Real objects are placed using data from astronomical catalogs. Where humanity’s maps end, SpaceEngine uses science-based procedural generation to create stars, planets, atmospheres, oceans, and entire galaxies that could exist. You can land on almost any planet or moon and explore its alien landscape. You can accelerate time and watch planets complete their orbits in seconds. You can even pilot spacecraft, enter black holes, explore the universe in VR, or build your own solar systems. Most games create a few worlds and call them enormous. Vladimir built something so large that Earth becomes nearly impossible to find once you leave it.

Ihtesham Ali

30,129 görüntüleme • 18 gün önce

New Sci-Fi FPS from the developer of Escape from Tarkov "COR3" announced 🔹Set on Mars in the year 2251 🔹You are a private investigator for “History Unfolded", a mysterious company with no identity 🔹They call you an "Executor" who is tasked with investigating the possibility of uncovering files related to experiments that started in year 2170 🔹Managed by a "Handler" named Aurora Strogova, not allowed to contact the "Hirer" or you'll be harmed 🔹Can hire additional help to assist you with the job 🔹There are major factions and companies in the game...SOYUZ, CORE, Terra Mater, Cult of Mars, Astrocorp, United Solar, etc 🔹Fossil Fuels replaced by NIC batteries, which in early days caused incidents and explosions equivalent to 1 ton of TNT - which was abused by radical terrorists 🔹Investigate events like a lost cargo freighter in deep space with bodies on it, weapons experiments, agricultural stations with advanced facilities, and a Sky Lift that detached from a planet 🔹New access terminal called CORIE players can access right now that provides a ton of information, daily decoding tasks, and also has restricted areas
1:30

New Sci-Fi FPS from the developer of Escape from Tarkov "COR3" announced 🔹Set on Mars in the year 2251 🔹You are a private investigator for “History Unfolded", a mysterious company with no identity 🔹They call you an "Executor" who is tasked with investigating the possibility of uncovering files related to experiments that started in year 2170 🔹Managed by a "Handler" named Aurora Strogova, not allowed to contact the "Hirer" or you'll be harmed 🔹Can hire additional help to assist you with the job 🔹There are major factions and companies in the game...SOYUZ, CORE, Terra Mater, Cult of Mars, Astrocorp, United Solar, etc 🔹Fossil Fuels replaced by NIC batteries, which in early days caused incidents and explosions equivalent to 1 ton of TNT - which was abused by radical terrorists 🔹Investigate events like a lost cargo freighter in deep space with bodies on it, weapons experiments, agricultural stations with advanced facilities, and a Sky Lift that detached from a planet 🔹New access terminal called CORIE players can access right now that provides a ton of information, daily decoding tasks, and also has restricted areas

Game Hunter 🔜 GAMESCOM

404,183 görüntüleme • 6 ay önce

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev
7:21

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev

Ibrahim Boona

58,625 görüntüleme • 4 ay önce

There is a major concern about Data Centers that are using closed loop cooling systems that’s not being talked about There are a lot of chemicals being put into the water used in these systems. That water has to be flushed out every couple years Whistleblowers say that chemical water is being pushed into our streams and waterways and may have extremely limited cleaning requirements depending on state “I'm getting whistleblowers on the inside saying that they're taking all that waste and they're just running it down into the sewers. They're wanting to go to more closed cooling systems, and in those closed cooling systems, you still are gonna be using chemicals. There's no regulations about every 2 years when you have to clean out a cooling closed system, where are you gonna throw all of those chemicals?” “Taking polluted water and running it through system and dumping it into a river and it flows downstream, that will have a natural dilution, would resolve the issue, and it's not. Even if it's a closed cooling system, that water that's recycling in there, eventually they have to clean those systems. They have to release that water. And are there any regulations to look at what chemicals aren't in that water before we release it into the environment and just create another pollution issue?” “Right now it's a free-for-all out there.” It’s not a complete free for all, it depends on the states and general federal regulations. Discharges from cleaning, blowdown or maintenance are subject to environmental rules There should be compliance reporting but whistleblowers are saying none of this is being followed, they’re saying it’s a “free for all” and the data centers are just planning on the chemicals being diluted as they flow down our waterways We need investigations
3:19

There is a major concern about Data Centers that are using closed loop cooling systems that’s not being talked about There are a lot of chemicals being put into the water used in these systems. That water has to be flushed out every couple years Whistleblowers say that chemical water is being pushed into our streams and waterways and may have extremely limited cleaning requirements depending on state “I'm getting whistleblowers on the inside saying that they're taking all that waste and they're just running it down into the sewers. They're wanting to go to more closed cooling systems, and in those closed cooling systems, you still are gonna be using chemicals. There's no regulations about every 2 years when you have to clean out a cooling closed system, where are you gonna throw all of those chemicals?” “Taking polluted water and running it through system and dumping it into a river and it flows downstream, that will have a natural dilution, would resolve the issue, and it's not. Even if it's a closed cooling system, that water that's recycling in there, eventually they have to clean those systems. They have to release that water. And are there any regulations to look at what chemicals aren't in that water before we release it into the environment and just create another pollution issue?” “Right now it's a free-for-all out there.” It’s not a complete free for all, it depends on the states and general federal regulations. Discharges from cleaning, blowdown or maintenance are subject to environmental rules There should be compliance reporting but whistleblowers are saying none of this is being followed, they’re saying it’s a “free for all” and the data centers are just planning on the chemicals being diluted as they flow down our waterways We need investigations

Wall Street Apes

69,686 görüntüleme • 26 gün önce

Introducing Rocket 1.0. A single platform where business thinking, competitive intelligence, and production-grade building share one workspace and one memory. Every decision is informed. Every build starts from the full picture. Nothing is lost between steps, tools, or teams. 🔹If you are a founder, you validate before you commit. 🔹If you lead a product team, strategy and execution live in the same place for the first time. 🔹If you lead sales, you walk into every room knowing exactly what the other side is facing. 🔹If you lead marketing, the competitive signal reaches you before the campaign, not after it. 🔹If you run a business, every decision starts from a real answer instead of a best guess. This is Vibe Solutioning. Not just better planning but also faster execution. A better starting point for everything your business builds, decides, and acts on.
1:54

Introducing Rocket 1.0. A single platform where business thinking, competitive intelligence, and production-grade building share one workspace and one memory. Every decision is informed. Every build starts from the full picture. Nothing is lost between steps, tools, or teams. 🔹If you are a founder, you validate before you commit. 🔹If you lead a product team, strategy and execution live in the same place for the first time. 🔹If you lead sales, you walk into every room knowing exactly what the other side is facing. 🔹If you lead marketing, the competitive signal reaches you before the campaign, not after it. 🔹If you run a business, every decision starts from a real answer instead of a best guess. This is Vibe Solutioning. Not just better planning but also faster execution. A better starting point for everything your business builds, decides, and acts on.

Rocket

408,901 görüntüleme • 4 ay önce

🚀 Announcing Echo — our new frontier model for 3D world generation. Echo turns a simple text prompt or image into a fully explorable, 3D-consistent world. Instead of disconnected views, the result is a single, coherent spatial representation you can move through freely. This is part of a bigger shift in AI: from generating pixels and tokens to generating spaces. Echo predicts a geometry-grounded 3D scene at metric scale, meaning every novel view, depth map, and interaction comes from the same underlying world — not independent hallucinations. Once generated, the world is interactive in real time. You control the camera, explore from any angle, and render instantly — even on low-end hardware, directly in the browser. High-quality 3D world exploration is no longer gated by expensive equipment. Under the hood, Echo infers a physically grounded 3D representation and converts it into a renderable format. For our web demo, we use 3D Gaussian Splatting (3DGS) for fast, GPU-friendly rendering — but the representation itself is flexible and can be easily adapted. Why this matters: consistent 3D worlds unlock real workflows — digital twins, 3D design, game environments, robotics simulation, and more. From a single photo or a line of text, Echo builds worlds that are reliable, editable, and spatially faithful. Echo also enables scene editing and restyling. Change materials, remove or add objects, explore design variations — all while preserving global 3D consistency. Editing no longer breaks the world. This is only the beginning. Echo is the foundation for future world models with dynamics, physical reasoning, and richer interaction — environments that don’t just look right, but behave right. Explore the generated worlds on our website and sign up for the closed beta. The era of spatial intelligence starts here. 🌍 #Echo #WorldModels #SpatialAI #3DFoundationModels Check it out:
1:07

🚀 Announcing Echo — our new frontier model for 3D world generation. Echo turns a simple text prompt or image into a fully explorable, 3D-consistent world. Instead of disconnected views, the result is a single, coherent spatial representation you can move through freely. This is part of a bigger shift in AI: from generating pixels and tokens to generating spaces. Echo predicts a geometry-grounded 3D scene at metric scale, meaning every novel view, depth map, and interaction comes from the same underlying world — not independent hallucinations. Once generated, the world is interactive in real time. You control the camera, explore from any angle, and render instantly — even on low-end hardware, directly in the browser. High-quality 3D world exploration is no longer gated by expensive equipment. Under the hood, Echo infers a physically grounded 3D representation and converts it into a renderable format. For our web demo, we use 3D Gaussian Splatting (3DGS) for fast, GPU-friendly rendering — but the representation itself is flexible and can be easily adapted. Why this matters: consistent 3D worlds unlock real workflows — digital twins, 3D design, game environments, robotics simulation, and more. From a single photo or a line of text, Echo builds worlds that are reliable, editable, and spatially faithful. Echo also enables scene editing and restyling. Change materials, remove or add objects, explore design variations — all while preserving global 3D consistency. Editing no longer breaks the world. This is only the beginning. Echo is the foundation for future world models with dynamics, physical reasoning, and richer interaction — environments that don’t just look right, but behave right. Explore the generated worlds on our website and sign up for the closed beta. The era of spatial intelligence starts here. 🌍 #Echo #WorldModels #SpatialAI #3DFoundationModels Check it out:

SpAItial AI

176,105 görüntüleme • 8 ay önce

I built an app in Softr for the HVAC industry to solve some crucial problems. The problem is that those in the HVAC industry and similar industries like construction, plumbing, and electrical do not have one source of truth where: 1. Their clients can request for thier services. 2. Clients can be onboarded after they make a payment. 3. They store the information and bio data of their technicians. 4. They assign tasks to their technicians. 5. Technicians can track onsite jobs with pictures in real time of when working. 6. Clients see the progress of their projects. 7. Invoices and quotations from paid clients can be tracked. 8. Technicians borrow assets from the company, and they can be tracked. 9. There is a database where every individual, from technicians to admin and clients, are all stored. 10. Login details from every individual are secured and they can only see things that are their business without seeing that of another person, be ita technician or a client. These and many more are what people in these industries face as a challenge. I came up with a solution that addresses all these problems. I built a workflow that also auto-populated the users table in the database with technicians and clients when the records are filled in the technician and client tables, respectively. There is also a workflow that sends an email to the admin when a client makes a request from the portal. Taking advantage of the database, workflow, and portal gave a full-blown application for the HVAC industry. If you are in the construction, plumbing, electrical, or HVAC industry and you need a similar build, reach out, and I will be more than happy to replicate this for you or something similar in Softr.
14:08

I built an app in Softr for the HVAC industry to solve some crucial problems. The problem is that those in the HVAC industry and similar industries like construction, plumbing, and electrical do not have one source of truth where: 1. Their clients can request for thier services. 2. Clients can be onboarded after they make a payment. 3. They store the information and bio data of their technicians. 4. They assign tasks to their technicians. 5. Technicians can track onsite jobs with pictures in real time of when working. 6. Clients see the progress of their projects. 7. Invoices and quotations from paid clients can be tracked. 8. Technicians borrow assets from the company, and they can be tracked. 9. There is a database where every individual, from technicians to admin and clients, are all stored. 10. Login details from every individual are secured and they can only see things that are their business without seeing that of another person, be ita technician or a client. These and many more are what people in these industries face as a challenge. I came up with a solution that addresses all these problems. I built a workflow that also auto-populated the users table in the database with technicians and clients when the records are filled in the technician and client tables, respectively. There is also a workflow that sends an email to the admin when a client makes a request from the portal. Taking advantage of the database, workflow, and portal gave a full-blown application for the HVAC industry. If you are in the construction, plumbing, electrical, or HVAC industry and you need a similar build, reach out, and I will be more than happy to replicate this for you or something similar in Softr.

Ada || Airtable, Zapier & Make.com

26,724 görüntüleme • 8 ay önce

I've been working on web projects with Three.js more and more lately — 2D, 3D, XR — and the one thing I've noticed is the lack of tools compared to game engines. That's why I decided to start building on the side a library of 3D assets that are actually little programs, AI-native, and fully customizable. I called this Polyfork , and it's already being used by dozens of people that have an AI centric workflow, since the website can be fully understood and used by agents. Assets are being built each day, at a rate of 100+ a week, and I'm planning to make it the biggest programmatic-3D library on the internet. Almost half of the models are free, and I opened slots for "founding" members, who can make a one-time payment for lifetime access, with access to all current models and kits, plus everything built from now on. Get one before they run out.
0:29

I've been working on web projects with Three.js more and more lately — 2D, 3D, XR — and the one thing I've noticed is the lack of tools compared to game engines. That's why I decided to start building on the side a library of 3D assets that are actually little programs, AI-native, and fully customizable. I called this Polyfork , and it's already being used by dozens of people that have an AI centric workflow, since the website can be fully understood and used by agents. Assets are being built each day, at a rate of 100+ a week, and I'm planning to make it the biggest programmatic-3D library on the internet. Almost half of the models are free, and I opened slots for "founding" members, who can make a one-time payment for lifetime access, with access to all current models and kits, plus everything built from now on. Get one before they run out.

Lucas Martinic

25,084 görüntüleme • 13 gün önce

✨ I've been using #Unity3D for 12 years. ✨ I'm using Blender's GeoNodes for a procedural mesh that's realtime-animated with a custom shader in Unity. ---(reminiscing, reflection follows)-- At some point, you realize it's 'all' states, relationships, and data/information. What is, isn't, and how they relate, subject to laws, principles. 🌌 Define some latent space -> atomics, data -> simulation/form -> information. Like a grid-texture of pixels that are to mean something, represent something. And they are processed/simulated in some way by some measure. So that you get some transformed, meaningful result. What is possible, here? -- in that space. (by the parameters, and features *defined*). 🧊 Likewise, a 3D field-volume in which things exist, being and not being. It may sound mystical, but I mean it literally: the definition of what things are, and are not, and what that means as a relationship (to something[s]). Take, for example a sphere, or box collider primitive. 🪩 Sphere's and circles are the most simple colliders, involving only a point (where they are) and radius (distance from that point, as a center) to define. 💥 The equations to calculate collisions against and between spheres is also relatively straightforward. Implementation of that is a part of building primitive relationships and definitions for simulations. 🎇 It follows, that for a particle system, the data structure of a single element/particle is (about) some point that simulates in some way. Boids and fluid sims have this in common. It seems this year (so far) has been ~about realizing that (with greater lucidity, at least), and learning it all relates to the nature of the universe. Involving simulations, and data flow-control... Ultimately, all these things are objective to us, in that we learned and were taught about how things work. And all the same, *I'm* still learning, too. 👀 #blender #b3d #geometrynodes #gamedev
0:41

✨ I've been using #Unity3D for 12 years. ✨ I'm using Blender's GeoNodes for a procedural mesh that's realtime-animated with a custom shader in Unity. ---(reminiscing, reflection follows)-- At some point, you realize it's 'all' states, relationships, and data/information. What is, isn't, and how they relate, subject to laws, principles. 🌌 Define some latent space -> atomics, data -> simulation/form -> information. Like a grid-texture of pixels that are to mean something, represent something. And they are processed/simulated in some way by some measure. So that you get some transformed, meaningful result. What is possible, here? -- in that space. (by the parameters, and features *defined*). 🧊 Likewise, a 3D field-volume in which things exist, being and not being. It may sound mystical, but I mean it literally: the definition of what things are, and are not, and what that means as a relationship (to something[s]). Take, for example a sphere, or box collider primitive. 🪩 Sphere's and circles are the most simple colliders, involving only a point (where they are) and radius (distance from that point, as a center) to define. 💥 The equations to calculate collisions against and between spheres is also relatively straightforward. Implementation of that is a part of building primitive relationships and definitions for simulations. 🎇 It follows, that for a particle system, the data structure of a single element/particle is (about) some point that simulates in some way. Boids and fluid sims have this in common. It seems this year (so far) has been ~about realizing that (with greater lucidity, at least), and learning it all relates to the nature of the universe. Involving simulations, and data flow-control... Ultimately, all these things are objective to us, in that we learned and were taught about how things work. And all the same, *I'm* still learning, too. 👀 #blender #b3d #geometrynodes #gamedev

Mirza Beig

102,829 görüntüleme • 8 ay önce

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.
5:13

From Eric Vishria on how the top AI founders are building products completely opposite of the SaaS era: "One of the things that is really different in the AI world versus the SaaS world, is that in the SaaS world, over and over again, you had people who really understood the customer. And the problem. And then they understood a domain. They understood what the technology was more or less capable of. But it wasn't a real question of if you could build something or not. For example, take Salesforce, Workday, and ServiceNow. CRM existed before Salesforce. HR management existed before Workday. Same thing with ServiceNow. So in every case, Salesforce followed Siebel. Workday followed Peoplesoft. ServiceNow followed Peregrine and Remedy, and others. So they were just kind of, cloud SaaS versions of the prior generation product. They just understood the customers. They understood the problem. And they were just like, here's a better version. And that evolved a little bit over time in SaaS land. But that's what it is. And so product development in that way was done by people who really understood the customer and the problems. And then just took advantage of the next wave. And this is almost diametrically opposite of product development in the AI era. When I look at the teams that are having the most success today, they have intimate knowledge of the models. They are right on the frontier of understanding which models are better at what, and why, and when. And what they're going to be good at and what they're not going to be good at. And what they're spending their time on, is figuring out how do I apply this capability of this model to this domain or to this user. So they're actually working inside out or technology out, versus customer problem in. And of course, they understand the customer problem. And a lot of times they have firsthand knowledge of it. But they're really close to the metal and capability, and they're applying it. And I think this is a really different way to develop products than in SaaS. I started my career as a product manager a long time ago, and it's almost the complete opposite of everything you learned. "Listen to the customer, understand it, then bring it back to the engineering and product teams." If you did that right now, ask a bunch of customers what they want out of AI, and you brought it back, for the most part, it may not be possible today with today's technology. Whereas the teams that are winning right now really understand the technology and are applying it out. And so I think this reversal matters. I think it's a big difference in terms of how companies are getting built. And maybe even the types of entrepreneurs that will be successful. I'm not sure. You're seeing some real change there. Look at the Bret Taylor's at Sierra. That's a super, super technical founder who really gets it. Brett and Clay really get it. You look at Michael and his co-founders at Cursor. They're super technical founders and they get it. They all really understand what these things can and can't do. And that's a pretty different dynamic relative to the way the best SaaS companies got built." Link in bio for the full conversation going deep on the current class of startups going from zero to $100m+ in ARR within 12 months.

The Peel

209,752 görüntüleme • 1 yıl önce

Someone on Reddit just built a AAA-quality snow simulation in their browser. Using Claude Opus 5. Millions of snow particles. A character in a robe with cloth physics. Five water-based spells that carve the terrain. A snow surfing system with a wake that throws spray into sunlight. Every footstep displaces snow. Trails form berms at the edges. Trenches slowly refill over time. Spells leave permanent craters. The entire thing runs in one browser tab. WebGPU. No game engine. No 3D modeling software. Just code. He wrote one detailed prompt. Opus 5 planned the architecture, wrote the shaders, built the physics, iterated from screenshots, and documented every decision. 9 hours. ~4 million tokens. You can open it right now and walk around in it. This isn't a demo. This is the kind of thing a small studio would spend months building.
0:47

Someone on Reddit just built a AAA-quality snow simulation in their browser. Using Claude Opus 5. Millions of snow particles. A character in a robe with cloth physics. Five water-based spells that carve the terrain. A snow surfing system with a wake that throws spray into sunlight. Every footstep displaces snow. Trails form berms at the edges. Trenches slowly refill over time. Spells leave permanent craters. The entire thing runs in one browser tab. WebGPU. No game engine. No 3D modeling software. Just code. He wrote one detailed prompt. Opus 5 planned the architecture, wrote the shaders, built the physics, iterated from screenshots, and documented every decision. 9 hours. ~4 million tokens. You can open it right now and walk around in it. This isn't a demo. This is the kind of thing a small studio would spend months building.

Vaibhav Sisinty

1,218,300 görüntüleme • 19 gün önce

Q: Are the contractors who did the initial work with the reflecting pool are they to blame for the current condition? Trump: No, no, we had vandalism, vandals. We have 100, and we have a I think 290, 300 foot slit right through it. Probably a box cutter or a knife of some kind or we had people lifting up the basic. it’s not a lot of damage. We’ll probably have to let the water out and re fix it. They went in there with a knife. I was just told by the people over at parks, they have five people are arrested and five people are under investigation right now. And it’s a sad thing. In addition to that, they you know, we put brand new beautiful grass all around. They put these massive letters on the grass. You probably know about that, right? And they said 86, 47. They probably got that from the dirty cop Comey. You know, he’s a dirty cop, don’t you? Dirty cop. He’s a crooked guy. They destroyed the grass. So, that’s a big thing.
1:09

Q: Are the contractors who did the initial work with the reflecting pool are they to blame for the current condition? Trump: No, no, we had vandalism, vandals. We have 100, and we have a I think 290, 300 foot slit right through it. Probably a box cutter or a knife of some kind or we had people lifting up the basic. it’s not a lot of damage. We’ll probably have to let the water out and re fix it. They went in there with a knife. I was just told by the people over at parks, they have five people are arrested and five people are under investigation right now. And it’s a sad thing. In addition to that, they you know, we put brand new beautiful grass all around. They put these massive letters on the grass. You probably know about that, right? And they said 86, 47. They probably got that from the dirty cop Comey. You know, he’s a dirty cop, don’t you? Dirty cop. He’s a crooked guy. They destroyed the grass. So, that’s a big thing.

Republicans against Trump

364,162 görüntüleme • 1 ay önce

‍ ‼️🚨🔵PRESSER🔵🚨‼️ 🎙Enzo Maresca's Full Pre-Tottenham Hotspur Press Conference: 🔹Enzo Maresca on if he has spoken to Liam Delap since red card: "I don't need to speak with Liam. I spoke with him but he knows everything. He is aware of the situation. He knows he made the mistake. Full stop, no more than that." 🔹Enzo Maresca on discipline problem: "I think that some of the red cards we concede, we can avoid that." 🔹Enzo Maresca on changing the discipline issues: "It's also something we need to learn and need to do better. For sure, no doubt, we will do better than that in the future." 🔹Enzo Maresca on whether Liam Delap is a long way from the player he wants him to be: "I'm not from England, so sometimes when I try to translate from Italian to English, it's a bit different. When Liam is on the pitch, he is more focused to try his battle with the defender. That's what I was trying to say. There are three players in this team that I know better than the rest, Lavia, Palmer and Delap because I knew them from City U21s. I know Liam will be a fantastic player for us, but there are some things he can improve." 🔹Enzo Maresca on Spurs' home record: "I think Tottenham are doing very good. They won the Europa League and they started really well this season. It's a derby and it will be a difficult game." 🔹Enzo Maresca on Chelsea's left wingers: "They are both [Garnacho and Gittens] adapting to the way we work every day. They are both doing very well. This is what we want from our wingers, scoring goals and assists. It's good that they're both doing very well so we can choose one or the other." 🔹Enzo Maresca on conceding from set-pieces: "I think that set-pieces, you are going to score goals and concede goals. The reason why is because when we concede, you are not strong enough. It is an action that is so difficult to defend." 🔹Enzo Maresca on defending long throws: "For sure, we are working on it, for sure." 🔹Enzo Maresca on if Liam Delap apologised: "Straight after the game in the changing room, he apologised to everyone." 🔹Enzo Maresca on Palmer injury latest: "I just met him in the canteen for breakfast and I said to him, in one week 'you will be back' and he was laughing. For Cole, it's exactly the same plan, we will wait [until he is ready]." 🔹Enzo Maresca on the discipline: "I think as I said many times, I like to learn and evolve. In this moment, we are trying to do everything to try and avoid this kind of situation. Hopefully we can learn and be better in the future." #CFC | #Chelsea | #TOTCHE | #Interviews 📲 CFC_ChelseaFC via Telegram
0:54

‍ ‼️🚨🔵PRESSER🔵🚨‼️ 🎙Enzo Maresca's Full Pre-Tottenham Hotspur Press Conference: 🔹Enzo Maresca on if he has spoken to Liam Delap since red card: "I don't need to speak with Liam. I spoke with him but he knows everything. He is aware of the situation. He knows he made the mistake. Full stop, no more than that." 🔹Enzo Maresca on discipline problem: "I think that some of the red cards we concede, we can avoid that." 🔹Enzo Maresca on changing the discipline issues: "It's also something we need to learn and need to do better. For sure, no doubt, we will do better than that in the future." 🔹Enzo Maresca on whether Liam Delap is a long way from the player he wants him to be: "I'm not from England, so sometimes when I try to translate from Italian to English, it's a bit different. When Liam is on the pitch, he is more focused to try his battle with the defender. That's what I was trying to say. There are three players in this team that I know better than the rest, Lavia, Palmer and Delap because I knew them from City U21s. I know Liam will be a fantastic player for us, but there are some things he can improve." 🔹Enzo Maresca on Spurs' home record: "I think Tottenham are doing very good. They won the Europa League and they started really well this season. It's a derby and it will be a difficult game." 🔹Enzo Maresca on Chelsea's left wingers: "They are both [Garnacho and Gittens] adapting to the way we work every day. They are both doing very well. This is what we want from our wingers, scoring goals and assists. It's good that they're both doing very well so we can choose one or the other." 🔹Enzo Maresca on conceding from set-pieces: "I think that set-pieces, you are going to score goals and concede goals. The reason why is because when we concede, you are not strong enough. It is an action that is so difficult to defend." 🔹Enzo Maresca on defending long throws: "For sure, we are working on it, for sure." 🔹Enzo Maresca on if Liam Delap apologised: "Straight after the game in the changing room, he apologised to everyone." 🔹Enzo Maresca on Palmer injury latest: "I just met him in the canteen for breakfast and I said to him, in one week 'you will be back' and he was laughing. For Cole, it's exactly the same plan, we will wait [until he is ready]." 🔹Enzo Maresca on the discipline: "I think as I said many times, I like to learn and evolve. In this moment, we are trying to do everything to try and avoid this kind of situation. Hopefully we can learn and be better in the future." #CFC | #Chelsea | #TOTCHE | #Interviews 📲 CFC_ChelseaFC via Telegram

Miki Djan

28,827 görüntüleme • 9 ay önce

Dormant Memories — a gallery regrouping my recent experiments built from real-world captures, reconstructed as 3D Gaussian Splats, and in many cases manipulated using World Labs' Marble. Everything is built with Spark, the 3D Gaussian splat renderer released by World Labs. It runs in the browser and can be experienced across devices: desktop, mobile, and headsets like Apple Vision Pro and Quest 3. This work comes out of something I've been exploring for a few years now: capturing fragments of the world (places, objects, moments...) and turning them into spaces that can then be revisited, manipulated, and explored in real time. What particularly interests me here is the process of creating alternate versions of the same place; starting from something that physically exists and using it as a base to explore variations, instead of generating from scratch. These explorations are part of what we do at Dpt.... same tools, same curiosity, same collaborative energy that shape the studio's work on interactive and immersive experiences. Some of these experiments were featured as part of the Spark 2.0 release by World Labs. Their technical blog post is a must-read; link in the thread ↓ These are experiments. They aren't fully optimized, they aren't bug-free, and the UX has rough edges. The goal is to explore, test, and learn. #GaussianSplatting #3DGS #pointcloud #WorldModels #sparkjs #threejs
1:20

Dormant Memories — a gallery regrouping my recent experiments built from real-world captures, reconstructed as 3D Gaussian Splats, and in many cases manipulated using World Labs' Marble. Everything is built with Spark, the 3D Gaussian splat renderer released by World Labs. It runs in the browser and can be experienced across devices: desktop, mobile, and headsets like Apple Vision Pro and Quest 3. This work comes out of something I've been exploring for a few years now: capturing fragments of the world (places, objects, moments...) and turning them into spaces that can then be revisited, manipulated, and explored in real time. What particularly interests me here is the process of creating alternate versions of the same place; starting from something that physically exists and using it as a base to explore variations, instead of generating from scratch. These explorations are part of what we do at Dpt.... same tools, same curiosity, same collaborative energy that shape the studio's work on interactive and immersive experiences. Some of these experiments were featured as part of the Spark 2.0 release by World Labs. Their technical blog post is a must-read; link in the thread ↓ These are experiments. They aren't fully optimized, they aren't bug-free, and the UX has rough edges. The goal is to explore, test, and learn. #GaussianSplatting #3DGS #pointcloud #WorldModels #sparkjs #threejs

Hugues Bruyère

12,408 görüntüleme • 3 ay önce

Did you know that at one point Jeffery Epstein attempted to "date" Princess Diana? It's not just because he liked her. It's because he liked her bloodline. One of the most interesting acknowledgements from the Epstein files and many others that you should pay attention to is the fact that these elites tell you in public that they are atheists or do not believe in anything, but behind closed doors they're performing ritualistic occult practices, sex magick, torture, trauma-based mind control, genetic experiments to edit genes to produce designer babies outside of the womb, and sacrificing children to ancient deities, but all for what? You have to start asking yourself what are they really doing behind closed doors and what are their end goals to all of this? These people control everything and are heavy into the sciences and genetics and spiritual practices, but keeping what they do a secret. So, the million dollar question is, "What do they really know and why do they keep it such a secret from the public? What are they really gaining out of all of these occult practices?" They wouldn't do it if they weren't getting anything in return. This is what you must understand. There is a whole other information set, physics, sciences, practices, and knowledge, that they are keeping from the masses, and it's time it is exposed.
30:54

Did you know that at one point Jeffery Epstein attempted to "date" Princess Diana? It's not just because he liked her. It's because he liked her bloodline. One of the most interesting acknowledgements from the Epstein files and many others that you should pay attention to is the fact that these elites tell you in public that they are atheists or do not believe in anything, but behind closed doors they're performing ritualistic occult practices, sex magick, torture, trauma-based mind control, genetic experiments to edit genes to produce designer babies outside of the womb, and sacrificing children to ancient deities, but all for what? You have to start asking yourself what are they really doing behind closed doors and what are their end goals to all of this? These people control everything and are heavy into the sciences and genetics and spiritual practices, but keeping what they do a secret. So, the million dollar question is, "What do they really know and why do they keep it such a secret from the public? What are they really gaining out of all of these occult practices?" They wouldn't do it if they weren't getting anything in return. This is what you must understand. There is a whole other information set, physics, sciences, practices, and knowledge, that they are keeping from the masses, and it's time it is exposed.

The SCIF

17,340 görüntüleme • 4 ay önce

Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do: "If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake." "If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was probably not a good idea." "There are ideas about how to go forward and have systems that are capable of doing what every intelligent animal and human are capable of doing, and that current AI systems are not capable of doing." "Understanding the physical world, having persistent memory, and being able to reason and plan. Those are the four characteristics that need to be there." "That requires systems that can acquire common sense, that can learn from natural sensors like video, as opposed to just text." The entire market is priced on a straight line from bigger models to AGI. One of the people who invented deep learning is telling you the line doesn't reach -- and that the real bottleneck isn't compute, it's world models. If he's right, the winner isn't whoever stacks the most GPUs. It's whoever teaches a machine to learn from video the way a child does.
0:58

Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do: "If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake." "If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was probably not a good idea." "There are ideas about how to go forward and have systems that are capable of doing what every intelligent animal and human are capable of doing, and that current AI systems are not capable of doing." "Understanding the physical world, having persistent memory, and being able to reason and plan. Those are the four characteristics that need to be there." "That requires systems that can acquire common sense, that can learn from natural sensors like video, as opposed to just text." The entire market is priced on a straight line from bigger models to AGI. One of the people who invented deep learning is telling you the line doesn't reach -- and that the real bottleneck isn't compute, it's world models. If he's right, the winner isn't whoever stacks the most GPUs. It's whoever teaches a machine to learn from video the way a child does.

Karl Mehta

34,781 görüntüleme • 1 ay önce

The proboscis monkey is one of the most unique primates in the animal kingdom, easily recognized by its large nose and strong connection to riverine forests. Found mostly around water, these monkeys are surprisingly skilled swimmers, often leaping from trees into rivers to escape predators or move between areas. But the waters they rely on can also be their greatest danger. Crocodiles are silent and patient predators, perfectly adapted to ambush anything that comes within reach. With powerful jaws and lightning-fast reflexes, they wait just beneath the surface for the perfect moment to strike. In this video, that moment comes with devastating precision. As the proboscis monkey attempts to leap from a tree into the water, it falls directly into the path of a waiting crocodile. In an instant, the predator strikes, turning what should have been an escape into a fatal mistake. It’s a chilling reminder that in the wild, survival often depends on timing—and sometimes, one wrong move is all it takes.
2:26

The proboscis monkey is one of the most unique primates in the animal kingdom, easily recognized by its large nose and strong connection to riverine forests. Found mostly around water, these monkeys are surprisingly skilled swimmers, often leaping from trees into rivers to escape predators or move between areas. But the waters they rely on can also be their greatest danger. Crocodiles are silent and patient predators, perfectly adapted to ambush anything that comes within reach. With powerful jaws and lightning-fast reflexes, they wait just beneath the surface for the perfect moment to strike. In this video, that moment comes with devastating precision. As the proboscis monkey attempts to leap from a tree into the water, it falls directly into the path of a waiting crocodile. In an instant, the predator strikes, turning what should have been an escape into a fatal mistake. It’s a chilling reminder that in the wild, survival often depends on timing—and sometimes, one wrong move is all it takes.

Nature Chapter

149,327 görüntüleme • 4 ay önce

Chris Camillo explains why Pokémon cards might keep going up for decades “I’ve always believed that Pokémon and an IP similar to Pokémon for a collector is where it’s at” “Unlike other collectibles, it’s not set in a period of time where you have a peak where the people that were really into that baseball player or football player hit peak wealth and drive the market up and then the next generation has less of an appreciation for that player, like with sports cards” “I think Pokémon’s fascinating because they reinvent themselves for each generation. So it’s one of these really rare collectibles that has cross-generational demand” “You can make a case that the Pokémon market could stay healthy and continue to drive forward for a very long time” “I’m not saying it will but there’s certainly a thesis there that has data to back that up” “So the Pokémon collectors might not be as crazy as you think they are”
1:15

Chris Camillo explains why Pokémon cards might keep going up for decades “I’ve always believed that Pokémon and an IP similar to Pokémon for a collector is where it’s at” “Unlike other collectibles, it’s not set in a period of time where you have a peak where the people that were really into that baseball player or football player hit peak wealth and drive the market up and then the next generation has less of an appreciation for that player, like with sports cards” “I think Pokémon’s fascinating because they reinvent themselves for each generation. So it’s one of these really rare collectibles that has cross-generational demand” “You can make a case that the Pokémon market could stay healthy and continue to drive forward for a very long time” “I’m not saying it will but there’s certainly a thesis there that has data to back that up” “So the Pokémon collectors might not be as crazy as you think they are”

Jack

97,928 görüntüleme • 2 ay önce