Рубрика: Experiments
-
Breaking the Data Barrier: My Deep Dive into the CCD Breakthrough for Few-Shot AI
The dream of AI has always been to match human efficiency—learning a new concept from a single glance. In my…
-
Speeding Up the Brush: My Reproduction of Efficient Token Pruning for Diffusion
If you’ve ever used a local Stable Diffusion setup, you know that long, descriptive prompts can sometimes slow down the…
-
The Ghost in the Machine: Reproducing Self-Adapting Language Models (SEAL)
Self-Adapting Language Models reproduction As an AI hobbyist, I’ve always been bothered by the fact that LLMs are «frozen» once…
-
Designing the Invisible Web: Why I’m Building for Agents, Not Humans
As a DIY researcher, I’ve spent countless hours trying to get LLM agents to navigate websites. It’s usually a mess.…
-
Tuning the Vision: How I Implemented Multimodal Instructions for Better Images
Text-to-Image Optimization — we’ve all been there: you type a complex prompt into a stable diffusion model, and it ignores…
-
The Secret Sauce: MCP + CoT
The researchers introduced a two-part framework of Spatiotemporal activity generation AI that I found particularly elegant to implement on my…
-
Debating Itself into Intelligence: My Reproduction of Multi-Agent Consensus Alignment (MACA)
It’s 2:00 AM in Istanbul, and the only thing louder than the wind off the Bosphorus is the cooling fans…
-
Reproducing Stanford’s Mirage Paper: When Frontier AI Models Hallucinate Entire Images
I’ve been covering AI research for a while now, but rarely does a paper make me stop everything and spend…
-
The Reality of Scaling: How I Stress-Tested My Dual-GPU Rig Against OpenAI’s Laws
After publishing my overview of the LLM Scaling Laws, I was left with a nagging question: Does this actually hold up…