One of the most frustrating limits of early Neural Radiance Fields (NeRF) was their “statue-like” nature. They were great for static objects, but as soon as something moved, the math broke. Recently, I’ve been obsessed with the paper “Unlocking Dynamic Scene Understanding: Neural Radiance Fields for Deformable Objects.” The premise is brilliant: instead of just mapping coordinates (x,y,z) to … Read more
There is a recurring “wall” every AI hobbyist hits when working with Novel View Synthesis (NVS). You generate a beautiful second view of a room, but as soon as you try to “walk” further into the scene, the geometry falls apart like a house of cards. Recently, I came across the paper “SceneCompleter: Dense 3D Scene … Read more
We’ve all seen the benchmarks. The new “Reasoning” models (like the o1 series or fine-tuned Llama-3 variants) claim to possess human-like logic. But after building my dual-RTX 4080 lab and running these models on bare-metal Ubuntu, I’ve started to see the cracks in the mirror. Is it true “System 2” thinking, or just an incredibly … Read more
Alright, fellow hardware junkies and algorithm enthusiasts. You know my journey: from building my dual-RTX 4080 rig to wrestling with scaling laws and even trying to birth a local data scientist with AutoMind. Each step has been about pushing the boundaries of what one person can do with local compute. But what if the next … Read more