AI insights, industry analysis, and technical guides
Anthropic opens up million-token context windows for Claude Opus 4.6 and Sonnet 4.6, while image generation models gain reasoning capabilities. Plus: Claude Code autonomously A/B tests its own features and two promising AI tools launch out of Y Combinator.
Telecoms operators are moving beyond pilot programmes and deploying AI inference at the network edge to cut costs, reduce churn, and automate operations in real time. Here is what the adoption landscape looks like today and why inference performance has become the defining competitive variable.
From executing programs inside transformers to document poisoning attacks on RAG pipelines, this week's AI landscape is moving fast. Here are the developments every technical practitioner needs to understand right now.
Learn how to build a production-ready AI content moderation pipeline using open-source models like Llama Guard and Detoxify. This hands-on tutorial walks through setup, classification logic, and deployment considerations for developers who need reliable, customizable content filtering.
AI inference is rapidly reshaping how real estate professionals price properties, assess risk, and engage buyers. Here's what the proptech sector is actually deploying—and why inference efficiency is becoming a competitive differentiator.
From an open-source browser built for AI agents to a provocative question about whether large language models are truly improving, this week's AI news cuts to the heart of where the industry stands. Here are the developments every technical reader needs to understand right now.
Learn how to set up and run multi-modal vision models entirely on CPU to extract structured data from documents without needing a GPU. This hands-on guide walks through environment setup, model selection, and practical inference patterns you can deploy today.
AI and real-time inference are reshaping how energy providers manage grids, predict demand, and reduce operational costs. Here's what the industry is actually deploying—and why inference performance is becoming a competitive differentiator.
From Yann LeCun's billion-dollar physical-world AI venture to a 100-billion-parameter model that runs on your CPU, the past 48 hours have delivered landmark shifts in AI infrastructure and safety. Here's what technical teams need to know.