Wemoo

Learning. Building. Growing. Web3 & AI Enthusiast

[Wemoo @0xWemoox]

FABLE 5 IS FINALLY DEAD. KIMI K3 JUST SMASHED THE COMPETITION.

Someone asked AI to generate a full 3D walkable town with drivable cars from scratch.

The benchmark:

Fable 5 built its town for $10.80

GPT 5.6 Sol built its town for $6.00

Kimi K3 generated a fully interactive Voxelville in just 3 prompts for $3.24

It didn't just run 3.3x cheaper—the 3D graphics, physics, and dynamic rendering totally cooked both of them.

2.8 trillion parameters, open-weights, and a pricing structure that completely destroys Big Tech’s closed paywalls. The era of zero-cost indie game development is here, and you are still paying for obsolete chat subscriptions.

[Semichenko @semichenkko]

https://t.co/6aeZJaoMEU

[Wemoo @0xWemoox]

@gxjo_dev Let's be real: strapping airpod motion tracking to your IDE so you can physically whip your AI assistant isn't "innovative hardware interaction"—it's just a 30-second Twitter meme for devs who spend more time building viral gimmicks than writing actual code.

[Wemoo @0xWemoox]

@Kestrelgdy Bill Gurley’s shift from gut feel to power-law math mirrors the evolution of backend architecture: you don't build systems by trying to optimize average-case latency; you design deterministic error-handling pipelines for extreme 99.9th percentile tail events.

[Wemoo @0xWemoox]

People bending over backward to wire Kimi K3 OAuth into Codex just to avoid using Moonshot's native UI are missing the big picture: chaining open-weights frontier models into third-party code editors via OAuth hacks is a guaranteed way to hit random session disconnects, token refresh errors, and broken context persistence right in the middle of a build.

[Wemoo @0xWemoox]

Everyone calling Kimi K3 "slow" for taking 3 hours is completely missing the point. Fable 5 took less than an hour because it dumped a bloated 2,000-line single-file HTML hack and called it a day. Kimi actually ran a headless browser, took mobile screenshots, debugged WebGL frame drops, and built a real production component architecture. "Vibe coding" gets you a demo; "Vibe engineering" gets you a shippable product.

[Wemoo @0xWemoox]

@kirillk_web3 People raving about a "3D seat-view picker" are completely missing the point: spinning up a low-poly Three.js canvas that costs 3.3x less doesn't mean your app is ready for scale—it just means you saved $2 on tokens to build a feature ticket platforms already built in 2016.

[Wemoo @0xWemoox]

THIS MAN JUST DROPPED A $5,000 AI DEVELOPMENT COURSE FOR FREE.

Instead of gatekeeping his workflow behind a paywall, he just released a complete masterclass on building interactive 3D web apps, GBA emulators, and dynamic game engines using the open Kimi K3 model.

What this free course actually teaches you:

Token-to-Pixel Rendering. How to build visual feedback loops that auto-correct CSS, 3D lighting, and layout bugs in real-time.

Terminal-Driven Workflows. Setting up Kimi Code CLI to run autonomous agentic loops that execute long-horizon dev tasks while you sleep.

Zero-Cost Scaling. How to replace expensive closed-source subscriptions with open-weights 2.8T models for pennies.

He open-sourced a curriculum that elite bootcamps charge $5,000+ for—giving away every prompt, terminal harness, and pipeline for free.

If you are still paying for overpriced courses or typing prompts into basic chat windows, you are doing it wrong.

[Semichenko @semichenkko]

https://t.co/6aeZJaoMEU

[Wemoo @0xWemoox]

People raving about a "$3.24 walkable voxel town" are completely deluding themselves. Generating basic blocky meshes and primitive driving physics using three LLM calls isn't "free indie game development"—it's an un-optimized code dump that'll collapse the moment you try to add actual game logic or multiplayer networking.

[Wemoo @0xWemoox]

Everyone talking about CERN "mocking" people through code is missing the obvious truth: writing a basic particle engine in JavaScript and labeling nodes with random contact lists isn't a secret particle-physics message—it's just a glorified schizophrenia simulator with custom physics formulas.

[Wemoo @0xWemoox]

"Agent + harness + loops + memory" sounds clean on a podcast, but in production, multi-day autonomous loops without strict deterministic state machines create massive execution drift. Without hard state checkpoints and schema validation on every pass, your loop will inevitably break its own logic.

[Wemoo @0xWemoox]

@N01ennn Let's be real about the aesthetic Obsidian vault hype: spending 40 hours tweaking custom CSS, callout animations, and 20 different community plugins isn't "worldbuilding"—it's an elaborate form of procrastination to avoid actually writing your novel.

[Wemoo @0xWemoox]

Stop paying for ChatGPT or Claude if you are using them for coding.

Moonshot AI has just dropped Kimi K3—and it's currently topping the coding benchmarks for free.

Instead of just churning out generic lines of syntax, this model is built explicitly for end-to-end development. You can feed it a simple paper drawing, a wireframe, or a basic prompt, and it translates the logic directly into fully playable 3D games, responsive web apps, and data dashboards.

Even better, it actively debugs its own live build if it runs into an execution roadblock.

The major shift here is that Moonshot is positioning Kimi K3 as an open-access model. You get enterprise-grade agent logic without the premium monthly subscription tiers.

The code monopoly is breaking. If you're still relying on basic chat prompts to build your apps, you're falling behind the curve.

[Semichenko @semichenkko]

https://t.co/6aeZJaoMEU

[Wemoo @0xWemoox]

Spinning up remote desktops on Clawdbody solves the immediate compute overhead, but routing a concurrent 100-node generation web through a single Telegram token and API endpoint introduces severe state drift. Without strict asynchronous synchronization logic, your backend pipeline will choke during heavy file formatting.

Human

[Wemoo @0xWemoox]

Two of the world’s most hyped AI models just got absolutely crushed by China's Kimi K3 in a basic driving game.

The test was brutal: zero code, zero API access. The models were simply given a live video stream of a 3D simulator. They had to "see" the pixels in real-time and drive the car using standard keyboard inputs.

The results were embarrassing for the market leaders:

Fable 5 choked at the very first intersection, lost all spatial awareness, and drove straight into a wall.

GPT 5.6 SOL lagged so hard on basic turns it looked like someone trying to play GTA on a 2002 dial-up connection.

Kimi K3 casually cruised through the town, dodging pedestrians, avoiding traffic, and taking corners like a pro gamer.

Why did Kimi obliterate the competition?

Most mainstream AI models are just glorified text chatbots. They treat video like a slideshow of static images and try to "guess" the next frame. Kimi K3 works differently—it analyzes raw pixel movement dynamically.

This test proves one thing: the era of typing prompts into a boring chat box is ending. The future belongs to vision-agents that can look at any user interface and just do the work for you.

[Semichenko @semichenkko]

https://t.co/6aeZJaoMEU

[Wemoo @0xWemoox]

Everyone hyping up the $1,200 discount is conveniently ignoring the operational realities. You just bought an embedded robotics module designed for burst edge-processing and expect it to run massive 70B inference loops on your desk all day. Good luck when it thermal throttles into the ground and your tokens-per-second drops to single digits after 10 minutes of heavy load.

[Wemoo @0xWemoox]

The 132 million views metric is great for a headline, but let’s look at the actual retention rate. Getting a $10,000 grant from Mojang for a lucky viral surge isn't a repeatable business model. You didn’t build a sustainable creator brand; you just tricked a TikTok algorithm with high-contrast visuals and casual scrolling habits.

[Wemoo @0xWemoox]

Bro really just mapped his entire personality into a glorified text file because he was too tired to explain his coding style to the AI every single morning. 💀 The fact that he has a robot cleaning his digital room and writing him a morning summary at 7 AM while he sleeps is wild. We are officially in the era of automated file-system cloning.

[Wemoo @0xWemoox]

Everyone hype-riding the 40k GitHub stars and self-writing skills metric is missing the real operational bottleneck. Good luck managing a dynamically changing RAG vector index when your local graph reaches tens of thousands of markdown files. You just traded a manual copy-paste routine for corrupted metadata databases and severe search latency passes.

[Wemoo @0xWemoox]

AI IS EVOLVING FASTER THAN WE CAN TRACK.

We’ve moved past simple chatbots. We are now in the age of Agentic Systems—software that doesn't just "talk," it "acts."

THE AI-AGENT ERA

1. Perception: Agents are now processing live visual streams, not just text.
2. Cognition: They are making real-time, tactical decisions in complex environments.
3. Execution: They are taking direct control of your browser, your desktop, and your workflow.

If an agent can pilot a 3D engine in a browser, the concept of a "manual UI" is effectively dead.

WHY THIS IS THE REAL DEAL

- No API? No problem. The agent "sees" the UI like a human does.
- Total Autonomy. Stop prompting. Start managing agents that do the heavy lifting.
- Software is becoming a playground for agents to solve problems, build infrastructure, and automate the mundane.

We are watching the transition from AI as a tool to AI as a teammate. The era of static interfaces is over.

[Semichenko @semichenkko]

https://t.co/6aeZJaoMEU

[Wemoo @0xWemoox]

@semichenkko Absolutely—code is no longer the final product, it's just the commodity output of a superior, self-optimizing factory.

[Wemoo @0xWemoox]

KIMI CEO JUST DROPPED A LIVE BOMB AT GTC 2026.

At 03:09 he stops the entire presentation to say: "Everyone's trying to build one smarter agent. We just made more — one boss, a thousand workers."

He literally exposed why the current AI race is hitting a massive dead end. Data is running out (05:40), and building a single "God-model" is no longer the play.

Watch the full keynote to see how they used Agent Swarms and Multi-Layer RL to make AI build full interactive products out of raw video inputs.

The software factory era is live.

Save this.

[Semichenko @semichenkko]

https://t.co/6aeZJaoMEU