Latest AI industry news and updates
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In this article: * One head, no handoffs — Product, architecture, execution: one person, no coordination layer * Built for expensive execution — Twenty years of infrastructure built for a specific problem * When execution gets cheap — What the layer does when the problem shrinks * Role compression is not enough — Microsoft's answer, and
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In this article: * The reframe — Why the management-problem framing is the right move * The problem is real and measurable — MAST, IBM, Berkeley, and what the failure data actually says * What Paperclip actually is — The mechanics, the quickstart, what it runs on * The skeleton and the living system — What Paperclip has
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In this article: * The accident: a missing line in .npmignore A 59.8 MB source map shipped to npm. For the second time. 1,900 files of unobfuscated TypeScript became public in hours. * The agent loop: from one prompt to a chain reaction The while-loop is trivial. The engineering is
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In this article: * The paradox: punished for being right Microsoft's best quarter ever. The stock fell 10%. Here is why the record results were the problem. * The contagion: agents don't buy seats The repricing spread across every company built on seat-based pricing. The replacement model is
AI News
Every project starts at zero. Getting from 0 to 0.3 (the structure, the wiring, the boilerplate) shouldn't take hours. It should take minutes. That's true whether the project is a marketing campaign, a financial model, a contract review workflow, a SaaS app, or a DevOps
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Running AI well on a project comes down to two things: the right structure and setup for the domain or tech, and the right configuration of the AI project context. This is not just about coding. Tools like Claude Code, Codex, Gemini CLI, Cursor, and Windsurf work on any digital
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At GTC 2026, Jensen Huang did not talk about GPUs. He talked about a new computing model. AI agents that run overnight, spawn sub-agents, execute workflows without human hand-holding, and make decisions on your behalf while you sleep. The headline chip — Vera Rubin — got the press coverage. But the announcement
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Nearly half of all AI-generated code contains security vulnerabilities. Veracode tested over 100 LLMs across 80 coding tasks and found a 45% insecure code rate, with no improvement across newer or larger models. A Tenzai assessment found 69 vulnerabilities across 15 applications built with vibe coding tools, including half a
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Every major software revolution rewrites the rules of value capture. Client-server monetized licenses. SaaS monetized access. AI will monetize outcomes. Software pricing has always been about value. And every major shift brought it closer to reflecting actual value delivered. The move from perpetual licenses to subscriptions was real progress. It
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The AI agent hype cycle has been dominated by a seductive promise: anyone can build an agent, no coding required. Just describe what you want in natural language, wire up a few prompts, and watch your autonomous digital workforce spring to life. Gartner predicts over 40% of agentic AI projects
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February 2026 The dominant narrative around AI coding tools is generation. Describe what you want, get code back. Vibe coding. Prompt-to-production. The story sells because it’s dramatic: developers replaced by natural language. The data tells a different story. What Anthropic Actually Found In August 2025, Anthropic turned the lens
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🦞 A lobster just broke enterprise software. If you’ve been anywhere near tech Twitter this week, you’ve seen it: developers buying Mac Minis to run their personal AI assistants. Cloudflare stock surging 14% on “AI agent buzz.” A three-week-old open-source project hitting 100,000 GitHub stars. The project is