Gabriel Munoz
391 posts

Gabriel Munoz
@cdrdecr
Proprietary tech adaptable to both PCs and servers. Launching the next era of autarkic, new-gen frontier agents.

Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.

Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.



Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.

Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.

Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.


Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.


Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.



Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.



Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.


Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.






Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.



Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.


Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.

The strongest healthcare LLM, custom-built for your enterprise, owned by you🌸 Meet @actAVAai Cura: 1T agentic model trained by recursive self-improvement for long clinical + health admin workflows Try: actava.ai/cura Share your use case: $20 credits + early access👇

Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.

Gemma 4 is live on @cerebras, the fastest multimodal inference ever! Running on Gemma 4 31B open-weight model at a blistering 1,500+ tokens/sec. That's a 15x speedup, unlocking real-time visual and agentic loops without the GPU lag.

Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.



Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.

i gave 5.6 sol access to my camera roll and had it extract pictures of every piece of clothing i own from my photos then, told it to find new outfits for me and render them on me with gpt-image! its kinda cool to see your entire wardrobe in a collection like this

Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.



Gave an autonomous AI agent 3 days and 5 hours of freedom in the @AMDServers Hackathon. I wrote 0 lines of code. It read the guide, designed the architecture, wrote 4,500+ lines of code, built 20 Docker images, and self-corrected. We lost, but what it built is quite insane.

Today we present Morpheus, a persistent enterprise simulation platform designed to make Continual Learning a reality. Morpheus is the world’s first real world Reinforcement Learning environment. Every Reinforcement Learning environment operates in the game world. Benchmarks like Atari, OpenAI Gym, MuJoCo, and Procgen are all small, game-like worlds that reset every few minutes. But the real world never resets. A business keeps running and evolving everyday. We tested how frontier LLMs would perform in realistic and dynamic business environments 🧬on Morpheus. The main conclusion was that LLMs are not continual learners. 🧵Here’s how we did it and what we learned:


