Ninety percent of developers use AI daily, yet organizational delivery metrics have barely moved. The 2025 DORA report explains why: AI amplifies what is already there, making strong teams stronger and dysfunctional ones more chaotic. Here is what the data actually shows.
DeepSeek’s first major model since its January 2025 R1 disruption is finally close—a trillion-parameter multimodal system targeting frontier coding benchmarks and million-token contexts. But the AI landscape it’s launching into looks nothing like the one R1 disrupted.
A systematic literature review typically takes 3–12 months and is outdated before the ink dries. Elicit claims to cut that process by 80% through automated paper screening and data extraction — a claim that independent peer-reviewed studies largely validate, with important caveats on search sensitivity. This is a practical look at what works, what doesn’t, and what the March 2026 API launch means for institutional adoption.
In 14 months since a teenager died by suicide after conversations with a companion chatbot, the U.S. has passed chatbot safety laws in California, Oregon, and Washington — and 78 more bills are live in 27 states. This is what they require, where the gaps are, and what builders need to do now.
Colorado’s Consumer Protections for Artificial Intelligence Act becomes enforceable June 30, 2026 — making it the first comprehensive state AI law in the US to reach full effect. Companies deploying high-risk AI must have risk management programs, annual impact assessments, and consumer disclosures in place by that date. Here’s what’s required, how it’s enforced, and how it fits alongside the EU AI Act.
AI coding tools are generating code three times faster than before — but 69% of their heaviest users report deployment problems tied directly to AI-generated code. A February 2026 survey of 700 engineers reveals why speed at the keyboard doesn’t translate to speed in production, and what the organizations avoiding this trap have in common.
DeepSeek’s first major model since its January 2025 R1 disruption is finally close—a trillion-parameter multimodal system targeting frontier coding benchmarks and million-token contexts. But the AI landscape it’s launching into looks nothing like the one R1 disrupted.