How to Make Claude Code as Cheap Per Task as GPT-6 Astra, Without Talking Like a Caveman
Author(s): Lakshman Sai Originally published on Towards AI. How to Make Claude Code as Cheap Per Task as GPT-6 Astra, Without Talking Like a Caveman Astra wins on cost because it writes less. So thousands of developers taught Claude to grunt. The …
Microsoft Fabric Architecture Explained: OneLake, Workspaces, and Capacity
Author(s): Hexaview Technologies Originally published on Towards AI. Microsoft Fabric Architecture Explained: OneLake, Workspaces, and Capacity Microsoft Fabric architecture brings data engineering, data integration, data warehousing, real-time analytics, data science, databases, and Power BI into a unified SaaS platform. At the center …
The Em Dash Became an AI Fingerprint. Then the Models Started Listening.
Author(s): Shivang Raikar Originally published on Towards AI. A punctuation mark turned into a giveaway, users complained, and the newest models learned to hide it. The data says something stranger is going on. For about two years, we all could spot AI …
Building a Soil Doctor: Inside My RAG-Based Soil Advisory System
Author(s): Israel Durotoye Originally published on Towards AI. Building a Soil Doctor: Inside My RAG-Based Soil Advisory System How I’m combining semantic search, BM25, and cross-encoder reranking to build an agricultural assistant that can explain its recommendations. A sensor reading is only …
Claude Code Re-sends Your Whole Session Every Turn. Here Is Anthropic’s Playbook for Paying Less.
Author(s): Rajesh Pandhare Originally published on Towards AI. Claude Code Re-sends Your Whole Session Every Turn. Here Is Anthropic’s Playbook for Paying Less. Fourteen token-saving habits from Anthropic’s own Claude Code docs, ranked by impact, with the reason each one works. Open …
LAI #144: Your Eval Improved. Did Your AI?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Your eval score went up. That does not necessarily mean your AI got better. If you change the generation prompt and the judge prompt in the same run, …
We Read 20 Agent Harnesses. 15 Compact Your Context Automatically — 10 Let You Set When.
Author(s): Decoding AI by Nueravi Originally published on Towards AI. We Read 20 Agent Harnesses. 15 Compact Your Context Automatically — 10 Let You Set When. Twenty open-source agent harnesses, grouped by how much control you have over context compaction. Decoding AI, …
From Static to Sunrise: How AI Learned to Paint With Noise
Author(s): Rajdip Bera Originally published on Towards AI. From Static to Sunrise: How AI Learned to Paint With Noise Picture a photograph sitting on a table — a mountain lake at sunrise, sharp and clear. Now imagine someone takes that photo and …
Your LLM Judge Changes Its Mind When You Swap the Order of the Answers
Author(s): Albatros Originally published on Towards AI. A five-minute test tells you whether your evaluation pipeline is measuring quality or measuring position. Photo by Elena Mozhvilo on UnsplashBeyond the initial prompt-order flip test, the article argues that LLM judge scores often reflect …
Canada and Germany Just Put $300 Million Into an AI Designed to Want Nothing
Author(s): Delini Originally published on Towards AI. Every frontier lab is racing to build systems that pursue goals. Yoshua Bengio has spent a year building the opposite, and two governments have now bet a quarter of a billion dollars that his version …
TAI #223:Opus 5.5, Cheaper GPT-6 and Agents at Dreamforce
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie I visited Salesforce’s Dreamforce in San Francisco this past week and spoke with Rob Seaman, Slack’s General Manager, about how agents fit into company …
Claude Opus 5.5: Cheaper, Faster, and It Won’t Stop Thinking
Author(s): Kushal Banda Originally published on Towards AI. Anthropic’s new Opus costs 40% less than its predecessor, tops the benchmarks, and can’t turn its thinking off anymore. Good and bad, in one release. At Quantium, a task ran 38 prompts over four …
Why You Can’t Give an LLM Direct Write-Access to Your EHR
Author(s): Maya Lin Originally published on Towards AI. Why You Can’t Give an LLM Direct Write-Access to Your EHR When engineering teams deploy generative AI agents into ambulatory clinics, dental networks, or specialty surgical practices, the standard architectural design appears deceptively simple: …
GPT-5.6 Quietly Broke Our Prompt Cache. One Message Boundary Fixed It.
Author(s): luisacsfreitas Originally published on Towards AI. GPT-5.6 Quietly Broke Our Prompt Cache. One Message Boundary Fixed It. How a model upgrade took our cache hit rate from ~90% to almost nothing, and why the fix was about where our prompt text …
Building Production-Grade AI Agents: From RAG to Function Calling (A Backend Guide)
Author(s): Abul Kalam Azad Originally published on Towards AI. Most AI tutorials end where production begins. Building a toy proof-of-concept is straightforward: pass a PDF into an embedding model, store the vectors in Chroma or Pinecone, retrieve the top 3 chunks, and …
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