// LATEST TRANSMISSIONS
Latest Posts
- Research::6 min
S4: How to Read Long Sequences with Structured State Spaces
This article examines how the Structured State Space sequence model (S4) structures state space models to handle long dependencies and reduces them to computable Cauchy kernel ope…
- Research::6 min
H3: The Memory and Comparison Capabilities SSMs Missed in Language Modeling
Hungry Hungry Hippos decomposes the linguistic weaknesses of state space models into token recall and comparison, then explains how H3, FlashConv, and hybrid attention combination…
- Research::7 min
Mamba: Approaching Content-Based Reasoning with Selective State Spaces
This article explains why Mamba targets both long-sequence efficiency and language-modeling performance through selective SSMs that change state-space parameters based on the inpu…
- Research::7 min
Why Does Mamba-2 Resemble the Transformer? Reading SSMs Through SSD
Following Tri Dao and Albert Gu's Mamba-2 paper, this article explains the connection between state space models and attention, the hardware implications of the SSD algorithm, and…
// CAPABILITIES
Tech Stack
🦀
Systems & Rust
LOW-LEVEL- Rust / C / Assembly
- Memory-safe systems programming
- Kernel modules & eBPF
- Zero-copy networking
🤖
AI / ML Engineering
INTELLIGENCE- PyTorch / CUDA / TensorRT
- LLM fine-tuning & inference
- RAG pipelines & embeddings
- MLOps & model serving
☁️
Infrastructure
PLATFORM- Kubernetes / Helm / ArgoCD
- Terraform / Ansible
- Cloudflare Workers / Edge
- Observability & SRE
🌐
Web & API
FULLSTACK- TypeScript / React / Next.js
- NestJS / Axum / Actix
- PostgreSQL / Redis / NATS
- gRPC / GraphQL / REST
#
Hacker's Attitude
01The world is full of fascinating problems waiting to be solved.
02No problem should ever have to be solved twice.
03Boredom and drudgery are evil.
04Freedom is good.
05Attitude is no substitute for competence.
/*
"Talk is cheap. Show me the code."
— Linus Torvalds
*/