AI Infrastructure Crisis: 50% Enterprise Projects Fail
Over 50% of AI projects fail despite $600B spending. Power constraints, inference economics, and complexity force enterprises to rethink infrastructure strategy.
AWS Kiro: Can Spec-Driven Development Fix AI Coding Chaos?
AWS launched Kiro, an AI IDE that challenges a core assumption of the AI coding ...
AI Coding Productivity Paradox: 96% Distrust, 19% Slower
AI coding tools promise 40% faster development but 96% of developers distrust AI code. Analysis ...
Waabi Raises $1B, Partners with Uber for 25,000 Robotaxis: Toronto AI Startup’s Record Bet
Raquel Urtasun left Uber in 2020 to build a competing autonomous vehicle startup. Five years ...
AI Engineers Write Zero Code at Anthropic, OpenAI
On Wednesday, January 29, engineers at Anthropic and OpenAI revealed they no longer write code ...
Microsoft Loses $357B: Wall Street Calls BS on AI Spending
Microsoft lost $357B in market value Jan 29 despite beating Q2 earnings. Azure growth slowed to 39% while AI capex hit $37.5B. Why ...
Moltbook: 32,000 AI Agents Build Social Network and Religion
32,000 AI agents have built their own social network where humans are banned from participating. ...
OpenClaw Security Crisis: 123K GitHub Stars, Massive Vulnerabilities
123,000 GitHub stars in 48 hours. Peter Steinberger’s weekend project became the fastest-growing open-source AI ...
GitHub Copilot Memory: 28-Day Context Goes Live
GitHub Copilot just got a memory, and the early results suggest this isn’t just another ...
Nvidia Freezes $100B OpenAI Deal: Megadeal Collapses
Nvidia halted its plan to invest up to $100 billion in OpenAI, according to a ...
