The Chunking Dilemma: Why RAG Fails Before Retrieval Even Starts
Why 80% of enterprise RAG failures happen before retrieval starts. Learn the Goldilocks chunking dilemma, 512-token truncation, and production splitting rules.
Towards AI15 min read
Artificial intelligence
108 stories
Reducing Guardrail Code With a Shared Jev Decision Layer
A phased agentic workflow that centralizes interpretation while preserving execution authorityContinue reading on Towards AI »
Towards AI1 min read
Vector Databases for Production RAG: Indexing, Hybrid Search, and Scaling Retrieval
Complete RAG Engineering Series, Part 6 | A practical guide to HNSW, IVF, product quantization, FAISS, Pinecone, Weaviate, Qdrant, Milvus…Continue reading on Towards AI »
Towards AI1 min readThe Only 5 AI Papers You Need to Read in 2026
What each paper really says, why it still matters, and what to read next.Continue reading on Towards AI »
Towards AI1 min read
How Does AI Game Merging Actually Work?
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.
Towards AI7 min read
Best Local LLMs for Your Mac in October 2026: 24GB to 128GB Picks
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 »
Towards AI1 min read
Claude Code Mods Are Here: Watch What Claude Is Doing
Don’t read the logs. Watch the crab.Continue reading on Towards AI »
Towards AI2 min readWhy GPT Ditched Half the Transformer
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 »
Towards AI1 min read
Redefining Job Roles in the Age of 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 …
Towards AI12 min read
Small Models Were the Wrong Question for Enterprise AI
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.
Towards AI13 min read
I Read Anthropic’s Latest Alignment Research. This Part Stood Out
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 »
Towards AI1 min read
AI in Design Report 2026: 6 Key Findings From 906 Designers
How designers use AI now, and what companies have not changed.Continue reading on Towards AI »
Towards AI1 min read
The 25mg Refill: Why Language Models Cannot Handle Clinical Math
The 25mg Refill: Why Language Models Cannot Handle Clinical Math When an autonomous portal bot parses informal patient language to clear an inbox ticket, an ambiguous message becomes a five-fold …
Towards AI6 min read
BERT: In-Depth Exploration of Architecture, Workflow, Code, and Mathematical Foundations [Updated]
Embeddings, Masked Language Model Tasks, Attention Mechanisms, and Feed-Forward Networks Explained Through Equations, Matrix…
Towards AI32 min read
Free Gemini Users Drop to One Model on October 9, and Plus Subscribers Lose the Pro They Paid For
Google’s new Gemini tiers leave free accounts with Flash-Lite and strip Pro from the $4.99 plan, nine days after its newest model went to…Continue reading on Towards AI »
Towards AI1 min read
AI Helped Me Build RAG. I Still Couldn’t Debug It.
What retrieval failures taught me and why I built a small Python exercise that fails on purpose.Continue reading on Towards AI »
Towards AI1 min read
I Revealed the AI Authors. One Report Gained 20% More Influence.
I Revealed the AI Authors. One Report Gained 20% More Influence. The same report went from 35% to 42% of the decision. Then rearranging the evidence exposed a bigger problem. I held a report’s text …
Towards AI11 min read
Muon: The Orthogonalized Optimizer Explained Through Equations, Intuition, Code and Results
Muon: The Orthogonalized Optimizer Explained Through Equations, Intuition, Code and Infographic From SGD, to Adam’s per-coordinate scaling, to the five Newton–Schulz steps that turn a gradient …
Towards AI18 min read
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