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First angel in @UnitreeRobotics.
Run by our reporter in SF.
This is getting ridiculous.
Saw @felixrieseberg build a Call of Duty-style FPS with Fable 5.2 in 8 hours, so GeekPark's creative team thought, why not give it a shot over lunch?
30 MINUTES LATER. We had our own playable FPS. 🤯
Play it right now: https://t.co/E9Rva8L3mv
If it had multiplayer, we'd have turned the entire office into a LAN party by lunchtime. 😂
I wanted to test Fable 5.2's quality with one-shot prompts without human feedback.
Everything in this game is from scratch: models, sounds, textures. ~$550 at API pricing, ~2.7M output and 445M input tokens, heavily cached. Took 8 hours!
Play it here: https://t.co/fazOCcyNIH
@Scobleizer Couldn't agree more. Building is getting ridiculously easy. Getting people to care? That's a whole different game.
For us, this was just a fun experiment over lunch. But it definitely made us think about where the real barriers are moving.
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Here's the prompt we gave Claude:
"Build a first-person shooter game. Players should be able to choose their character and weapons before entering an open map where they can run around and shoot.
Use WASD for movement, mouse movement to look around, and left-click to fire.
The graphics don't need to be fancy, but the gameplay has to feel smooth and responsive."
That's it. The Future is coming 🫥
Seele is a company that creates AI tools for game making. Recently they invited me to participate as they took on a 5-day challenge to push their new model, Seele03, to its limits and move closer and closer to AAA with a Wuxia-style action game.
The product consists of their AI model, asset generators, and target engines such as web (three.js), Unity, or even Unreal. What's nice is that their site has everything in one place, from mesh generators and rigging to sound fx and sprite work. They also provide common templates for most types of games. Having it all work together seamlessly saves a lot of time. You can get a game running very quickly, in 20 minutes or so. (20 minutes! I remember when this took months and months.)
So what can they do in 5 days?
Their progress video, below, shows them iterating through creating a Phantom Blade Zero-style game. This is not reverse engineering, but made from scratch. Over the course of development, they sent me video updates on their progress. The 03 model is designed for iterative development, and I gave them some advice as they took it from basically nothing to the final version of the video today. The progress the model made day to day was rapid, and the traces actually factored in something that I don't see that often: game design.
Most models focus on the graphics when making a game, but Seele03 is thinking about combos, hit feedback, everything that really matters for how a game feels and plays. One day, I think that's going to be the core of what makes AI game making viable.
After you are done prompting and refining your game, it's not frozen on the web. You can download and edit the project files themselves. Since you can download the result and open it in Godot or Unity (Unreal is embedded web atm), Seele03 can give you a quality core and a way for you to take things even further.
So how did it turn out? I've tried a lot of game generators, and Seele03's all-in-one tool approach and engine targeting stand out for me. Most others only generate three.js for web, or are more world models based on generative rendering. This is the rare one I've seen that is making games directly in game engines.
They've asked me to share the full process video with you so you can judge for yourself. As I watched the team work, I sat back and wondered at how it's all changing so fast: you simply... chat... interacting with a UI that is purely text, typing in wishes and directions, and everything else unfolds around you. I think they got pretty far in their goal gameplay-wise, which is where they really focused. The key thing is that after you have the final result, you also have the files to download, and you can replace anything you want to take it even further: animations, level graphics, basically anything.
If you want to make games for real engines on PC and console, then give Seele a shot at https://t.co/jJ9kvt0Ard. It's faster than vibing a game in Claude because of their game-design-driven model, their built-in asset generators, and the fact that you are not burning tokens re-creating an entire engine before you even get to your game. And every day they get closer to AAA... it's just a matter of time.
@SEELE_AI1125
Put two interviews with MiniMax (@MiniMax_AI)'s Yan Junjie (IO) side by side. You will get a pretty good snapshot of how AI has changed in 2 years.
In 2024, he told GeekPark (@GeekParkHQ) that pushing the frontier was the hard part. Cutting costs by 10x? There was already a playbook for that. He even predicted a nearly 100x drop in two years.
Fast forward to his recent podcast with Lawrence Burns from Scottish Mortgage (@ScotMortgage_UK). Now he calls low inference costs MiniMax's moat.
Why? Because cheaper inference lets you scale RL and push the frontier further.
How the thing that used to come after a breakthrough is now part of how you get to the next one.
How do you measure trust in a personal agent?@noahrshinn's answer is: track how long it takes users to hand over a credit card.
At Instinct (@instinct), ~35–40% do it within 3 weeks.
“AEO is harder than SEO.”
In conversation with GeekPark (@GeekParkHQ) founder Jack Zhang (@Jackzzzz), Stripe (@stripe) CMO Jeff Titterton (@JeffTitterton) discusses how AI is changing information discovery - from browsing search results to relying on AI-generated answers, and why accurate information matters more than ever. 👇
Your next customer might be an AI agent choosing a product on a developer’s behalf.
In conversation with GeekPark (@GeekParkHQ) founder Jack Zhang (@Jackzzzz), Stripe (@stripe) CMO Jeff Titterton (@JeffTitterton) explains why startups should track how often AI coding agents recommend and select their products, and understand why their products are not chosen.
“Startups should be obsessed about this.”
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In a test with 40 participants from 5 different countries who weren’t told the interviewer was AI, 60% believed they were speaking with a human.
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It listens. It follows up. It rephrases when a question isn’t clear.
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When participants try a product, it explores how it feels in the moment.
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Today, we’re announcing we raised our Series E & F rounds for a combined total of $1.65B. Our Series E was led by @sequoia and our Series F was led by @BessemerVP with continued investment from @nvidia.
We’re excited to push the boundaries of what’s possible even more next year and this funding will enable the team to build the way we want to.