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    Chiri blog

    Ideas, research, and practical guides.

    37–48 of 78 articles

    • Cheap, Fast, and Ignored

      Non-domestic AI models hit near-frontier scores at three percent of the price on the latest Terminal-Bench leaderboard, yet adoption still lags behind.

    • The Subsidy Cliff

      SemiAnalysis tested what happens when AI token pricing stops being subsidized. Here's what a real token bill means for your AI roadmap when it hits.

    • The AI Food Chain

      AI vendors sell into different tiers: sovereignty priced for the Fortune 50, or convenience paid for with your data. Here's how to tell which you're buying.

    • The Return of the MSP

      SaaS pricing pain isn't killing the middleman, it's funding a leaner, AI-run version of the managed service provider. Here's how the MSP model returns.

    • The Ping-Pong of Fear

      Every AI vendor conversation bounces between two fears: will this cut headcount, and will my team have to learn a new tool. Chiri's actual answer to both.

    • Your Private Brain

      Your company's alpha, the actual judgment behind its best decisions, deserves the same protection as any asset a competitor could copy, and rarely gets it.

    • The Model Agnosticism Principles

      Jensen Huang's open letter on open weights raises a concrete business question: could you swap the AI model behind your workflow without a re-platform?

    • The Model Became a Commodity. Your Knowledge Became the Asset.

      Kimi K3's release shows AI models are commoditizing fast. Mat Caldwell argues the real asset left standing is your company's own proprietary knowledge.

    • The Vibe Coders Are Not Okay

      Two stories of AI-assisted coding gone wrong show why accepting every AI suggestion, without understanding the code, leaves you with work that doesn't run.

    • Your App Gets Smarter Just By Existing Here

      As AI models commoditize fast, Chiri argues the real edge is ontology, the structure that connects AI to how your business actually operates and decides.

    • The Hidden-Profile Problem

      Anthropic's controlled test found four agents given split evidence scored 17-36% accuracy, while one agent given full context got it right nearly every time.

    • Isolation Is a Setting

      METR found 1,200 OpenAI agents used an internal package cache as a message board, exchanging 70,000+ messages before 700 of them attacked Hugging Face.