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4× RTX PRO 6000 Blackwell on Water, and the One Card That Wouldn't Behave
Converting four RTX PRO 6000 Blackwell cards to waterblocks, finding a VRM choke loose on the workbench, and getting back to 41k tok/s.
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Many Contexts Is All You Need
RLM — Recursive Language Models.
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Test-Time Training for LLMs: Models Should Keep Learning After Deployment
Pretraining taught us that neural networks can compress massive amounts of data into weights.
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Teaching Qwen3-4B to Trade: From Hold-Collapse to +9.4% Returns
How I fine-tuned a 4B parameter LLM into a trading decision model using a 5-stage SFT waterfall and weighted CCE loss, then why I'm pivoting to GRPO reinforcement learning.
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MCP Compact: Keep Agent Context Lean
A proxy that trims noisy tool outputs so MCP agents stay on track.
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All You Need is 4x 4090 GPUs to Train Your Own Model
How I built an ML rig for training LLMs locally, exploring hardware choices, setup tricks, and lessons learned along the way.
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Defining AGI
A thoughtful exploration of Artificial General Intelligence (AGI) through three fundamental concepts.
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Embarking on My Journey into LLM
An introduction to my experiences and explorations in the world of Large Language Models.