Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

introducing vim royale - real-time multiplayer duels - Race to clean broken code - elo-based matchmaking - replay & study every match - bot mode + singleplayer - built-in vimtutor to learn vim motions

jitesh💙

4,923 subscribers

153,889 Aufrufe • vor 4 Monaten •via X (Twitter)

Gaming Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Been quietly building a browser based live audiovisual studio app for commercial use in Framer It listens to your music, analyses it in real time, then turns the frequency into visuals, type, glitches, motion, scene changes, FX, and more. It’s node based. Connect audio, MIDI, visuals and behaviours together without needing a PhD in noodles. Build scenes. Chain FX. Map parameters. Make things react to sound and MIDI in near real time (milliseconds latency). Performance Mode splits your controls from the clean projector output where you see the knobs and chaos, everyone else sees the magic. Underneath: frankly ridiculous. To use: surprisingly simple. Code named Signaaal. Sneak peak 👀🔊

Been quietly building a browser based live audiovisual studio app for commercial use in Framer It listens to your music, analyses it in real time, then turns the frequency into visuals, type, glitches, motion, scene changes, FX, and more. It’s node based. Connect audio, MIDI, visuals and behaviours together without needing a PhD in noodles. Build scenes. Chain FX. Map parameters. Make things react to sound and MIDI in near real time (milliseconds latency). Performance Mode splits your controls from the clean projector output where you see the knobs and chaos, everyone else sees the magic. Underneath: frankly ridiculous. To use: surprisingly simple. Code named Signaaal. Sneak peak 👀🔊

Lee Black

14,370 Aufrufe • vor 1 Monat

Introducing MIRA. A playable, multiplayer world model. A dream of Rocket League. Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press. Built by General Intuition and kyutai, in collaboration with Epic Games. Not used to develop Rocket League. ▶️ Play the demo, read the technical report, and explore the open-source code at At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.

Introducing MIRA. A playable, multiplayer world model. A dream of Rocket League. Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press. Built by General Intuition and kyutai, in collaboration with Epic Games. Not used to develop Rocket League. ▶️ Play the demo, read the technical report, and explore the open-source code at At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.

General Intuition

504,300 Aufrufe • vor 2 Monaten

Goodbye clicking on Google Street View to check out the route! In your browser, with you can actually drive anywhere in the world🚀 You can also create multiplayer races🚗🏎🚓 The world is generated ahead of you in real-time from OpenStreetMap data combined with satellite elevation data as you drive. Just added a WIP of night mode and replaced the placeholder terrain/road textures with some nicer physics-based textures. Also now anywhere you go a million street lights will be added too. This is actually slowly starting to look like the promised Need For Speed + Google Maps #threejs #gamedev #indiedev Single player mode: Just find a location, click anywhere on the map and click "Hop Here". After parachuting down hold X to call the car to the road. Multiplayer mode: Click on "Create race" and select start and finish points. A route will be plotted. Click on Share Race to get the link and start racing!

Goodbye clicking on Google Street View to check out the route! In your browser, with you can actually drive anywhere in the world🚀 You can also create multiplayer races🚗🏎🚓 The world is generated ahead of you in real-time from OpenStreetMap data combined with satellite elevation data as you drive. Just added a WIP of night mode and replaced the placeholder terrain/road textures with some nicer physics-based textures. Also now anywhere you go a million street lights will be added too. This is actually slowly starting to look like the promised Need For Speed + Google Maps #threejs #gamedev #indiedev Single player mode: Just find a location, click anywhere on the map and click "Hop Here". After parachuting down hold X to call the car to the road. Multiplayer mode: Click on "Create race" and select start and finish points. A route will be plotted. Click on Share Race to get the link and start racing!

DVLP

13,619,950 Aufrufe • vor 1 Monat

GPT-6 Astra has shattered all priors with AI game creation Introducing Astral War, built in a day with GPT-6 Astra Ultra (fast mode) Astral War is a browser-based, CoD World at War inspired Three.js + MeshyAI + ElevenLabs remix (and massive upgrade) of Modern Claudefare - a game I built/released about a month ago via Opus 5 This model is a HUGE, step-function leap in visual fidelity, gameplay mechanics, and attention to detail - and the limits were much more generous compared to Fable 5.1. Sam Altman and the OpenAI Developers team cooked 🫡 Select features: - Play as the living or the undead - Solo or online multiplayer* with other players and bots - Collect perks as killstreaks - Controller support - Voice chat (on private lobbies) *Multiplayer has real authoritative game servers for online multiplayer, up to 12-person lobbies; first time trying this compared to Modern Claudefare/Der Koloss’ PeerJS implementation! Let’s see how it goes 🤗 Play at

GPT-6 Astra has shattered all priors with AI game creation Introducing Astral War, built in a day with GPT-6 Astra Ultra (fast mode) Astral War is a browser-based, CoD World at War inspired Three.js + MeshyAI + ElevenLabs remix (and massive upgrade) of Modern Claudefare - a game I built/released about a month ago via Opus 5 This model is a HUGE, step-function leap in visual fidelity, gameplay mechanics, and attention to detail - and the limits were much more generous compared to Fable 5.1. Sam Altman and the OpenAI Developers team cooked 🫡 Select features: - Play as the living or the undead - Solo or online multiplayer* with other players and bots - Collect perks as killstreaks - Controller support - Voice chat (on private lobbies) *Multiplayer has real authoritative game servers for online multiplayer, up to 12-person lobbies; first time trying this compared to Modern Claudefare/Der Koloss’ PeerJS implementation! Let’s see how it goes 🤗 Play at

Rishi

134,599 Aufrufe • vor 16 Tagen

This is how real Polymarket empires are built. Everyone is still looking for that one Claude setup that will change their life. I keep thinking that vibe coding does nothing, and instead of wasting time, I build a real product. While you believe it’s impossible to trade arbitrage on five-minute markets, MANUAL CODE can do it. I have already connected data on: - Current Bitcoin price. - Live five-minute pool odds. - Real-time order book. In test mode, the results are already promising. I’m waiting for the next stages of validation, and then it can be launched as a bot with market-based calls. Should I publish this?

This is how real Polymarket empires are built. Everyone is still looking for that one Claude setup that will change their life. I keep thinking that vibe coding does nothing, and instead of wasting time, I build a real product. While you believe it’s impossible to trade arbitrage on five-minute markets, MANUAL CODE can do it. I have already connected data on: - Current Bitcoin price. - Live five-minute pool odds. - Real-time order book. In test mode, the results are already promising. I’m waiting for the next stages of validation, and then it can be launched as a bot with market-based calls. Should I publish this?

Raychi

42,128 Aufrufe • vor 6 Monaten

Google just killed every paid coding tool. Their new AI Studio destroys Cursor completely. Here's how to build React apps instantly: → Open Google AI Studio Build Mode → Type what you want to build → Watch it code everything automatically → Deploy to GitHub with one click → Share working apps instantly Features that crush the competition: • Angular + React support ✔ • GitHub integration ✔ • Real-time code preview ✔ • Gemini API built-in ✔ • Enterprise AI for $0 ✔ Save this thread, you'll build faster apps. Want the SOP? DM me. 💬

Google just killed every paid coding tool. Their new AI Studio destroys Cursor completely. Here's how to build React apps instantly: → Open Google AI Studio Build Mode → Type what you want to build → Watch it code everything automatically → Deploy to GitHub with one click → Share working apps instantly Features that crush the competition: • Angular + React support ✔ • GitHub integration ✔ • Real-time code preview ✔ • Gemini API built-in ✔ • Enterprise AI for $0 ✔ Save this thread, you'll build faster apps. Want the SOP? DM me. 💬

Julian Goldie SEO

188,249 Aufrufe • vor 1 Jahr

Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console

Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console

Daniel San

51,706 Aufrufe • vor 4 Monaten

Trillion-dollar companies are built by helping people save time, money, or trust. This week, we’re rolling out a feature in our upcoming app that does all three, saving you time, money, and trust. Introducing $Dupe Research Mode. The average American wastes $281 a month (~$3,380 a year) on impulse purchases. Over 20% admit it’s damaged their finances. And when they do slow down to be thoughtful, they lose hours researching every option. Research Mode automates that process, comparing price history, quality, and real reviews in seconds. When wallets tighten, value wins. That’s when people find Dupe. At scale, this feature will save consumers billions of dollars a year. Less impulse. More trust. Comment what you want Research Mode to do next 👇

Trillion-dollar companies are built by helping people save time, money, or trust. This week, we’re rolling out a feature in our upcoming app that does all three, saving you time, money, and trust. Introducing $Dupe Research Mode. The average American wastes $281 a month (~$3,380 a year) on impulse purchases. Over 20% admit it’s damaged their finances. And when they do slow down to be thoughtful, they lose hours researching every option. Research Mode automates that process, comparing price history, quality, and real reviews in seconds. When wallets tighten, value wins. That’s when people find Dupe. At scale, this feature will save consumers billions of dollars a year. Less impulse. More trust. Comment what you want Research Mode to do next 👇

Dupe.com

63,461 Aufrufe • vor 10 Monaten

Introducing GameSir G7 Pro Metallic Silver. GameSir G7 Pro Metallic Silver | Wrapped in Silver. Your time to strike. Your favorite controller is returned and wrapped in premium Metallic Silver. Top-tier performance never has to compromise on style. Look flawless on the field. Dominate every game. ✅ Designed for XBOX ✅ 1000Hz polling rate ✅ GameSir Mag-Res™ TMR Sticks ✅ Micro Switch D-pad and Optical Micro Switch ABXY ✅ Dual-mode triggers - Micro Switch or Hall Effect Analog ✅ 4 Remappable Macro Buttons ✅ Built-In Gyroscope Order now & Learn more on BestBuy:

Introducing GameSir G7 Pro Metallic Silver. GameSir G7 Pro Metallic Silver | Wrapped in Silver. Your time to strike. Your favorite controller is returned and wrapped in premium Metallic Silver. Top-tier performance never has to compromise on style. Look flawless on the field. Dominate every game. ✅ Designed for XBOX ✅ 1000Hz polling rate ✅ GameSir Mag-Res™ TMR Sticks ✅ Micro Switch D-pad and Optical Micro Switch ABXY ✅ Dual-mode triggers - Micro Switch or Hall Effect Analog ✅ 4 Remappable Macro Buttons ✅ Built-In Gyroscope Order now & Learn more on BestBuy:

GameSir

21,764 Aufrufe • vor 4 Monaten

Welcome to Farcana Hero Team-Based PVP Shooter built for skill, strategy, and lasting competition. Fun-First Gameplay – Designed for deep engagement, not just short sessions. Every match matters. Powered by AI Companion – Your digital twin and in-game assistant that evolves with you, offering exclusive AI vs AI battles mode with prize pools backed by $FAR. Unique IP & Heroes – Featuring 24 original heroes, a fully developed lore book, and hand-painted art that brings the world of Farcana to life Digital Ownership Economy – Play, own, and trade in a system where players have real stake. Explore more in thread below 🧵

Welcome to Farcana Hero Team-Based PVP Shooter built for skill, strategy, and lasting competition. Fun-First Gameplay – Designed for deep engagement, not just short sessions. Every match matters. Powered by AI Companion – Your digital twin and in-game assistant that evolves with you, offering exclusive AI vs AI battles mode with prize pools backed by $FAR. Unique IP & Heroes – Featuring 24 original heroes, a fully developed lore book, and hand-painted art that brings the world of Farcana to life Digital Ownership Economy – Play, own, and trade in a system where players have real stake. Explore more in thread below 🧵

FAR Labs

1,718,624 Aufrufe • vor 1 Jahr

Last week-end I built a watercolor simulator based on real physics (as much as possible). A lot of you asked to play with it so i improved it and it's now live. New since the prototype: - More pigments (52), based on the best research out there to predict color mixes (Kubelka-Munk). - More luminous / glassy feel - Some fun experimental stuff like the salt and alcohol techniques to alter the texture, a backlight effect and a few more. - I also added a Code mode where the simulator prints its real function calls next to the sheet while you paint 🤓♥️ It's still largely based on the same physics model as my prototype: Curtis et al.'s "Computer-Generated Watercolor". All in the browser. Current status: building and implementing a kid-friendly version for Marble App. Plenty of awesome things to learn with watercolor painting!

Last week-end I built a watercolor simulator based on real physics (as much as possible). A lot of you asked to play with it so i improved it and it's now live. New since the prototype: - More pigments (52), based on the best research out there to predict color mixes (Kubelka-Munk). - More luminous / glassy feel - Some fun experimental stuff like the salt and alcohol techniques to alter the texture, a backlight effect and a few more. - I also added a Code mode where the simulator prints its real function calls next to the sheet while you paint 🤓♥️ It's still largely based on the same physics model as my prototype: Curtis et al.'s "Computer-Generated Watercolor". All in the browser. Current status: building and implementing a kid-friendly version for Marble App. Plenty of awesome things to learn with watercolor painting!

Lionel Mora

307,261 Aufrufe • vor 1 Monat

What does skydiving have to do with AI sales? 🪂 We didn't want to build yet another AI agent focused on flooding inboxes with spam, so we built Ora. 🔮 Introducing Lavender Ora: our agent for thoughtful, effective selling. Ora is built for sellers who choose value over volume, modeling the best practices of top performers—researching, personalizing, and timing impactful and optimized emails. All built on Lavender's ACI - Augmented Communication Intelligence - and powered by our insights from analyzing nearly 2B sales emails. 💜 Saves 4+ hours/day by handling busywork. ✈️ Smart Sequences precisely time follow ups based on real-world news and market events. ✅ Protects deliverability—no spam, just trust. 50 well-researched, personalized, and optimized emails every day - just like the best human sellers. Whether you're team manual or autonomous, Ora adapts to your workflow with: 🧐 OCD Mode: Manually review, refine, and approve 50 emails in 5 min. 🚀 LFG Mode: Ora goes fully autonomous, building passive pipeline and freeing up more of your time. Time saved at work = more time to do fun stuff. Like flying. Join the waitlist:

What does skydiving have to do with AI sales? 🪂 We didn't want to build yet another AI agent focused on flooding inboxes with spam, so we built Ora. 🔮 Introducing Lavender Ora: our agent for thoughtful, effective selling. Ora is built for sellers who choose value over volume, modeling the best practices of top performers—researching, personalizing, and timing impactful and optimized emails. All built on Lavender's ACI - Augmented Communication Intelligence - and powered by our insights from analyzing nearly 2B sales emails. 💜 Saves 4+ hours/day by handling busywork. ✈️ Smart Sequences precisely time follow ups based on real-world news and market events. ✅ Protects deliverability—no spam, just trust. 50 well-researched, personalized, and optimized emails every day - just like the best human sellers. Whether you're team manual or autonomous, Ora adapts to your workflow with: 🧐 OCD Mode: Manually review, refine, and approve 50 emails in 5 min. 🚀 LFG Mode: Ora goes fully autonomous, building passive pipeline and freeing up more of your time. Time saved at work = more time to do fun stuff. Like flying. Join the waitlist:

Lavender 💜

14,397 Aufrufe • vor 1 Jahr

67 real production bugs. 10 different AI tools, same PRs, same standard. Entelligence benchmarked every major AI code reviewer on bugs that already shipped and broke things. They put 10 tools through race conditions, security vulnerabilities, breaking API changes, and logic errors across 5 real open-source repos (Cal[.]com, Sentry, Discourse, Keycloak, Grafana). The gap between top and bottom is not small. What separated them was not raw model power. It was whether the tool understood code relationships. How a function signature change ripples through a codebase, not just what's on the line being reviewed. Entelligence caught things every other tool missed. A breaking API change in Cal[.]com that every other tool flagged as clean. An interface change in Grafana that would have broken compilation across all existing Logger implementations. A cache race condition in Keycloak that allowed concurrent threads to corrupt a bidirectional mapping. They also published the full methodology and didn't hide where they underperformed. Ruby codebases, race conditions, CSS regressions. It's all in there. 1/2

67 real production bugs. 10 different AI tools, same PRs, same standard. Entelligence benchmarked every major AI code reviewer on bugs that already shipped and broke things. They put 10 tools through race conditions, security vulnerabilities, breaking API changes, and logic errors across 5 real open-source repos (Cal[.]com, Sentry, Discourse, Keycloak, Grafana). The gap between top and bottom is not small. What separated them was not raw model power. It was whether the tool understood code relationships. How a function signature change ripples through a codebase, not just what's on the line being reviewed. Entelligence caught things every other tool missed. A breaking API change in Cal[.]com that every other tool flagged as clean. An interface change in Grafana that would have broken compilation across all existing Logger implementations. A cache race condition in Keycloak that allowed concurrent threads to corrupt a bidirectional mapping. They also published the full methodology and didn't hide where they underperformed. Ruby codebases, race conditions, CSS regressions. It's all in there. 1/2

AshutoshShrivastava

10,362 Aufrufe • vor 6 Monaten

THIS IS INSANE — AN ANTHROPIC ENGINEER BUILT A CLAUDE CODE BOT THAT READS INSTITUTIONAL OPTIONS FLOW IN REAL TIME AND TURNED $200 INTO $14,300 TRADING ALONGSIDE THE BIGGEST ORDERS ON THE TAPE the bot doesn't predict. it stalks it reads thousands of institutional options orders streaming through SpotGamma — scores every block by size, direction, and how it historically moves price — then trades only when the heaviest hands on the tape are moving here's what's running on screen right now: → GEX Surface Analysis — 3D gamma exposure map rotating in real time, strike $8,168, GEX at 1.36B → MotiveWave footprint — ESU6 Range(20) with cumulative delta crashing to -9,500. every bid and ask printed at every level → SpotGamma Live Flow — institutional tape streaming tick by tick: SPX, QQQ, NVDA, AAPL, META, MSTR, NDX. strike, volume, premium — all live → GEXRadar — QQQ at $720.09, Hedging Pressure 53/100, Major Walls mapped, bullish flow → MNQU6 on mobile — Nasdaq 100 M1, bid 29,589 ask 29,591, TP set, P&L at +$109.50 when an institution drops $40K on SPX 7,740 calls or $28,639 on NDX puts — Claude sees it before FinTwit even screenshots it the bot makes only 10 trades per day not 50. not 100. ten. because Claude Code learned the edge isn't frequency — it's selectivity. large institutional block orders only and it exits early. before the institutions unwind. the same flow analysis that finds the entry also maps when large players historically take profit — the bot exits ahead of the crowd $200 in. $14,300 out. built by an engineer who used Claude Code to do what no dashboard can — read every institutional options order in real time and trade only when the biggest ones align you're watching one chart this bot is reading every block order on the tape to find the 10 setups that matter today save this — full setup breakdown below ↓

THIS IS INSANE — AN ANTHROPIC ENGINEER BUILT A CLAUDE CODE BOT THAT READS INSTITUTIONAL OPTIONS FLOW IN REAL TIME AND TURNED $200 INTO $14,300 TRADING ALONGSIDE THE BIGGEST ORDERS ON THE TAPE the bot doesn't predict. it stalks it reads thousands of institutional options orders streaming through SpotGamma — scores every block by size, direction, and how it historically moves price — then trades only when the heaviest hands on the tape are moving here's what's running on screen right now: → GEX Surface Analysis — 3D gamma exposure map rotating in real time, strike $8,168, GEX at 1.36B → MotiveWave footprint — ESU6 Range(20) with cumulative delta crashing to -9,500. every bid and ask printed at every level → SpotGamma Live Flow — institutional tape streaming tick by tick: SPX, QQQ, NVDA, AAPL, META, MSTR, NDX. strike, volume, premium — all live → GEXRadar — QQQ at $720.09, Hedging Pressure 53/100, Major Walls mapped, bullish flow → MNQU6 on mobile — Nasdaq 100 M1, bid 29,589 ask 29,591, TP set, P&L at +$109.50 when an institution drops $40K on SPX 7,740 calls or $28,639 on NDX puts — Claude sees it before FinTwit even screenshots it the bot makes only 10 trades per day not 50. not 100. ten. because Claude Code learned the edge isn't frequency — it's selectivity. large institutional block orders only and it exits early. before the institutions unwind. the same flow analysis that finds the entry also maps when large players historically take profit — the bot exits ahead of the crowd $200 in. $14,300 out. built by an engineer who used Claude Code to do what no dashboard can — read every institutional options order in real time and trade only when the biggest ones align you're watching one chart this bot is reading every block order on the tape to find the 10 setups that matter today save this — full setup breakdown below ↓

INSIDER

133,515 Aufrufe • vor 11 Tagen

Most traders don’t fail because of strategy. They fail because they don’t see what they’re doing wrong. In real time. After being on a real trading floor and competing at a high level, one thing became clear: Awareness beats strategy. That’s why we built a full system: - A journal that tracks every trade automatically - An AI coach that analyzes your behavior - A community with live analysis and full transparency - And the ability to run our strategy as a bot Everything connected. Everything based on real data. If you’re serious about improving, you should be inside. Free Telegram group:

Most traders don’t fail because of strategy. They fail because they don’t see what they’re doing wrong. In real time. After being on a real trading floor and competing at a high level, one thing became clear: Awareness beats strategy. That’s why we built a full system: - A journal that tracks every trade automatically - An AI coach that analyzes your behavior - A community with live analysis and full transparency - And the ability to run our strategy as a bot Everything connected. Everything based on real data. If you’re serious about improving, you should be inside. Free Telegram group:

Merlijn The Trader

45,582 Aufrufe • vor 5 Monaten

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.

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

65,243 Aufrufe • vor 7 Monaten

We’re launching a brand new, full-stack vibe coding experience in Google AI Studio, made possible by integrations with the Google Antigravity coding agent and Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with Google Maps 🕹️

Google AI

4,754,203 Aufrufe • vor 6 Monaten

INTRODUCING ELECTIONHUB 🔵🔴 A live war room for US elections. Powered by real money, not polls. 2028 is already shaping up to be one of the most competitive presidential races in modern history. 4 ways to see the race: -Treemap — candidates sized by win probability -US Shape — odds mapped onto the actual country -Chart — full price history for any candidate -2024 Timelapse — replay how odds moved in real time Plus live 2026 midterm maps: -Senate races, state by state -House districts, all 435 -Governor races + balance of power Live WebSocket — prices move the second the market moves. No refresh. Polymarket called 2024 correctly when every major poll was wrong. This is where you track what smart money says next.

INTRODUCING ELECTIONHUB 🔵🔴 A live war room for US elections. Powered by real money, not polls. 2028 is already shaping up to be one of the most competitive presidential races in modern history. 4 ways to see the race: -Treemap — candidates sized by win probability -US Shape — odds mapped onto the actual country -Chart — full price history for any candidate -2024 Timelapse — replay how odds moved in real time Plus live 2026 midterm maps: -Senate races, state by state -House districts, all 435 -Governor races + balance of power Live WebSocket — prices move the second the market moves. No refresh. Polymarket called 2024 correctly when every major poll was wrong. This is where you track what smart money says next.

Pentagon Pizza Watch

41,871 Aufrufe • vor 5 Monaten

I BUILT A BOT THAT PREDICTS NBA GAMES BEFORE TIPOFF. IT RUNS EVERY DAY AT 5:00 PM. HERE'S WHAT'S INSIDE. Three data sources. Three probability layers. One automated pipeline. No manual input. Every evening the bot wakes up. Pulls today's NBA slate. Builds features from live data.Generates predictions. Sends them to me before the first whistle. The ML layer: XGBoost on three seasons of data. Four Factors. ELO ratings. Net rating. Pace. Back-to-back fatigue. Rest days. Travel distance. Every stat computed only from data available before the game. No future leakage. Ever. The sportsbook layer: spread and moneyline converted into implied probabilities. The spread alone contains the aggregated intelligence of an entire betting market. The bot doesn't fight it. It absorbs it. The Polymarket layer: live crowd-sourced probabilities from a decentralized prediction market. No vig. Prices shift in seconds when a star sits out. The bot pulls them through the Gamma API in real time. Then all three layers talk to each other. All three agree - high confidence bet. Polymarket diverges from the books - someone knows something. My model diverges from both - either I found edge or I found noise. The bot flags every disagreement automatically. The fourth layer: Claude API reads everything. Injury reports. Schedule context. Matchup history. Generates a written explanation for every single prediction. No black box. Every call has reasoning attached. The stack: Python. nba_api. pandas. XGBoost. scikit-learn. SHAP. Polymarket Gamma API. Claude API. Flask. GitHub Actions. It took mass of work to build. It takes zero effort to run. 5:00 PM ET. Every day. Predictions land before tipoff. Trading here: I didn't build a model. I built a machine.

I BUILT A BOT THAT PREDICTS NBA GAMES BEFORE TIPOFF. IT RUNS EVERY DAY AT 5:00 PM. HERE'S WHAT'S INSIDE. Three data sources. Three probability layers. One automated pipeline. No manual input. Every evening the bot wakes up. Pulls today's NBA slate. Builds features from live data.Generates predictions. Sends them to me before the first whistle. The ML layer: XGBoost on three seasons of data. Four Factors. ELO ratings. Net rating. Pace. Back-to-back fatigue. Rest days. Travel distance. Every stat computed only from data available before the game. No future leakage. Ever. The sportsbook layer: spread and moneyline converted into implied probabilities. The spread alone contains the aggregated intelligence of an entire betting market. The bot doesn't fight it. It absorbs it. The Polymarket layer: live crowd-sourced probabilities from a decentralized prediction market. No vig. Prices shift in seconds when a star sits out. The bot pulls them through the Gamma API in real time. Then all three layers talk to each other. All three agree - high confidence bet. Polymarket diverges from the books - someone knows something. My model diverges from both - either I found edge or I found noise. The bot flags every disagreement automatically. The fourth layer: Claude API reads everything. Injury reports. Schedule context. Matchup history. Generates a written explanation for every single prediction. No black box. Every call has reasoning attached. The stack: Python. nba_api. pandas. XGBoost. scikit-learn. SHAP. Polymarket Gamma API. Claude API. Flask. GitHub Actions. It took mass of work to build. It takes zero effort to run. 5:00 PM ET. Every day. Predictions land before tipoff. Trading here: I didn't build a model. I built a machine.

zostaff

48,649 Aufrufe • vor 5 Monaten