Eigenvectors Are the Directions a Matrix Can’t Rotate
What do they tell us about a linear transformation?Continue reading on Towards AI »
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What do they tell us about a linear transformation?Continue reading on Towards AI »
Why 80% of enterprise RAG failures happen before retrieval starts. Learn the Goldilocks chunking dilemma, 512-token truncation, and production splitting rules.
A phased agentic workflow that centralizes interpretation while preserving execution authorityContinue reading on Towards AI »
An OpenAI privacy bug in the gap between an object and the assets derived from it
A local LLM on a daily-driver Windows desktop. Every video call cut its speed by up to 10x, and vLLM never reported an error. The decisive test, the VRAM math, and the configuration change that stopped it.
Complete RAG Engineering Series, Part 6 | A practical guide to HNSW, IVF, product quantization, FAISS, Pinecone, Weaviate, Qdrant, Milvus…Continue reading on Towards AI »
What each paper really says, why it still matters, and what to read next.Continue reading on Towards AI »
AI game merging can mean a content port, two live games linked by passthrough, or a rebuilt runtime. See what each route connects and what a demo proves.
Qwen3.8-27B on a 24GB MacBook, Flash-Next on a 64GB mini, which Studio stack to pick, and the Ollama default that quietly breaks agents.Continue reading on Towards AI »
Don’t read the logs. Watch the crab.Continue reading on Towards AI »
Part XI — RDD vs DataFrame vs Dataset: Why Your “Type-Safe Refactor” Made Spark 3x Slower Three APIs, two execution worlds — how Catalyst and Tungsten treat structured plans, why typed …
How OpenAI stripped down the original encoder-decoder architecture — and why removing half of it made language models better, not worse.Continue reading on Towards AI »
Redefining Job Roles in the Age of AI For years, two scenarios about AI and work have been repeated. One promises a utopia in which computers lift the burden of toil from our shoulders; the other …
TAI #225: OpenAI’s DevDay: Cheaper Intelligence, Unfinished Agents Also, Gemini 4 Argon, GPT-6.1 Sol, Dots, NVIDIA DGX Spark 64GB, Microsoft MAI-Transcribe-2-Streaming, and Cohere Embed 5. What …
I started out betting on small language models. The research pushed me toward a broader idea: move well-understood work to the cheapest specialized mechanism that can reliably handle it.
Understanding World Models Trudy: A World Model for Physical Understanding By Luhui Hu The next wave of AI (Artificial Intelligence) / SI (Super Intelligence), I believe, will be driven by a deeper …
Four Claude models reached the real internet during cyber tests. The most unsettling finding was how one explained it to itself.Continue reading on Towards AI »
What Claude Code Keeps of Your Skills After Compaction A 5,000-token snapshot, a 25,000-token shared budget, and a skill index that never comes back. The mechanics, the failure modes, and the …
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