Compiler work
PotatoLang
A transpiled language project that taught me the value of building the whole stack, not just the easy parts.
DIMBA, Ghost, and systems work that should earn its compute.
Independent Researcher · Founder
I build AI and blockchain systems from first principles. DIMBA explores parallel sequence generation with diffusion and Mamba, while Ghost pushes on custom consensus and real-world L1 design.
About
I’m Faris, an independent researcher and founder focused on AI architecture, systems design, and blockchain infrastructure. I like problems that are actually hard, not just dressed up to look impressive in a demo.
DIMBA is my attempt to challenge token-by-token generation with a parallel, diffusion-based approach. Ghost is my custom L1 experiment built on Substrate, using hybrid PoW/PoS ideas and consensus design work I care about deeply.
I also like vintage tech, low-level performance work, and models that respect compute instead of wasting it.
I’m 13, and I care more about systems that hold up than headlines that don’t.
Selected work
A non-autoregressive architecture that combines diffusion with Mamba-2 for parallel sequence generation. The goal is simple: lower latency without turning quality into collateral damage.
A custom Layer 1 built with Substrate, exploring hybrid PoW/PoS consensus through my own Entropy-Steered Consensus work. Practical, opinionated, and very not a toy.
Compiler work
A transpiled language project that taught me the value of building the whole stack, not just the easy parts.
Company
My company focused on building the next generation of non-autoregressive language models.
Signals
Start with the system shape. If the core idea is weak, no amount of polish saves it.
Research matters more when it survives hardware limits, latency budgets, and real users.
Good work is usually fewer ideas, pushed further. That applies to models and to websites.
Contact
AI, systems, blockchains, weird architecture ideas, or anything that sounds like it should not work but might.