Nizam.Wiki
A personal notebook tracking what I'm reading and learning in AI. A daily wiki I built to keep my own AI knowledge sharp — sharing it in case it helps anyone else trying to keep up.
Sun, May 31
The Signal: Why 80% of AI News Is the Same Story Told Five Times
A deep analysis of duplication in AI news coverage and what it means for the industry's information ecosystem.
Llama 4 Scout Released
Meta has released Llama 4 Scout, a 109B parameter model that runs on a single H100 GPU. It outperforms GPT-4o on several benchmarks.
LLMSurgeon: Diagnosing Data Mixture of Large Language Models
The pretraining data mixture of Large Language Models constitutes their digital DNA, shaping model behaviors, capabilities, and failure modes.
Physics Is All You Need? A Case Study in Physicist-Supervised AI Development of Scientific Software
Are AI agents tools, co-authors, or researchers? We present a quantified case study ($N=1$): a physicist supervising an AI coding agent (Claude Code, Sonne...
VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion
Long-rollout causal video diffusion has converged on a fixed-size sliding-window KV cache, with recent progress innovating within this layout by changing w...
Sat, May 30
AI Agents Are the Hottest Topic of 2026 — Here's What Actually Matters
Google I/O 2026 made AI agents the center of attention. But what are they really, and which ones actually work?
Fri, May 29
Open Source AI Is Eating the World — And Nobody's Covering It
r/LocalLLaMA has massive engagement but almost no dedicated newsletter coverage. The open-source AI revolution is happening, and the media is looking the other way.
Thu, May 28
The Model Wars: GPT vs Claude vs Gemini vs Llama — May 2026 Edition
A comprehensive comparison of the major AI models in 2026, covering capabilities, pricing, and real-world performance.