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 »
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How designers use AI now, and what companies have not changed.Continue reading on Towards AI »
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 …
I checked LLM-as-judge for order bias with no labels.Continue reading on Towards AI »
Embeddings, Masked Language Model Tasks, Attention Mechanisms, and Feed-Forward Networks Explained Through Equations, Matrix…
Tail Rent: What Actually Happens to Your Agent’s Memory After a Week of Continuous Runtime I had a coding agent running against a real backlog for the better part of four days last month. Not one …
From Retrieval to Governance — The Architecture Shift Replacing Naive RAG Stop asking “How do we retrieve more chunks?” Start asking “How do we govern and structure what the model …
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 »
GitHub Copilot Slack Task Contract: Turn Team Chat Into Safe Code Work A Slack thread can contain the clue, the workaround, the rejected idea, and the person who says “ship it.” That does not …
What retrieval failures taught me and why I built a small Python exercise that fails on purpose.Continue reading on Towards AI »
Vector Search Is Not Enough: The Blueprint of GraphRAG Vector search tells you what is similar; GraphRAG tells you how it is connected. Retrieval-Augmented Generation (RAG) has emerged as an …
One Brain, Every Touchpoint: Building Adaptive, Multi-Channel Agentforce Architectures The true value of Salesforce Agentforce isn’t just launching an AI chatbot on a website — it’s channel …
Stop Waiting for Spark: Enabling High Concurrency Mode in Fabric Notebooks As we scale our enterprise analytics, we constantly seek ways to optimize our data engineering workflows. We build elegant …
This is the full series of Deepseek-V3 technical report, where i explain all the technical details in simpler words with code…Continue reading on Towards AI »
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 …
Why AI Safety Needs Register Robustness The Language Problem AI Evaluation Is Missing An AI assistant should adapt to how people speak without changing its standards for accuracy, uncertainty, or …
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 …
Generative AI for Recommendations: what YouTube, Netflix and Meta are Moving to, Built From Scratch A build log on real Amazon data: Semantic IDs, a small Transformer that writes the next item, and a …
Claude Code Caveman Eval: Two Sentences Took the Median Cut From 14.6% to 50.6% I recounted the repo’s own eval snapshots: the jump came from two added sentences, v3.1.0 still ships the core …
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