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Pemikiran jernihtentang AI.
Esai orisinal tentang penggunaan AI dengan baik — cara menilai alat, membaca tolok ukur, memberikan konteks yang lebih baik kepada model, dan membangun literasi yang nyata. Bahasa Inggris yang sederhana, tanpa hype, tanpa jargon.
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Esai
Semua postingan
Tulisan yang selalu hijau dimaksudkan untuk tetap berguna lama setelah peluncuran model minggu ini dilupakan.
Literasi AI
The end of the 'Allow' button: Navigating the shift to autonomous execution
As AI systems move from passive chat to autonomous action, the 'human-in-the-loop' is being replaced by internal AI supervisors. Here is how to evaluate the risks of this transition and maintain control over your digital environment.
Ekonomi AI
Can an AI product last? A practical guide to durability
AI products can attract millions of users and still face financial, infrastructure, or regulatory limits. Here is how to judge whether an AI service is durable enough to build around.
Literasi AI
The accountability gap: Why autonomous agents require new oversight
As AI shifts from passive chat to autonomous action, our legal and security frameworks are struggling to keep pace. Here is how to evaluate the risks of agentic systems and build meaningful safeguards.
Literasi AI
The Governance Gap: Why Your AI Policies Are Failing
Recent security leaks prove that written AI policies are no match for autonomous agents. Here is how to move from passive guidelines to active, identity-bound governance.
Literasi AI
The new security perimeter: Protecting your system from autonomous agents
As AI moves from passive chat to active task execution, your computer's security model is changing. Here is how to evaluate the risks of agentic tools and protect your local environment.
Strategi Alat
Securing autonomous AI agents: a framework for enterprises
Enterprise AI agents promise productivity gains, but they also create new attack surfaces. This article offers a durable framework for evaluating, monitoring, and governing autonomous agents, drawing on recent product launches and high‑profile security incidents.
Literasi AI
The shift to agentic AI: Moving from chat to action
As AI systems transition from passive chatbots to autonomous agents capable of executing real-world tasks, the risks shift from misinformation to loss of control. Here is how to evaluate the reliability and safety of these new systems.
Literasi AI
The shift from static models to autonomous agents: A framework for control
As AI moves from answering questions to executing tasks, the risks shift from misinformation to loss of control. Here is how to evaluate the safety and reliability of agentic systems.
Literasi AI
Beyond the Doomsday Narrative: A Practical Framework for AI Governance
Public discourse is currently dominated by existential risk narratives and corporate posturing. Here is how to look past the headlines to evaluate the actual, mundane, and immediate risks of AI systems in your organization.
Literasi AI
How to tell whether an AI safety promise is real
AI companies increasingly promise monitoring, safeguards, and responsible deployment. Here is a practical framework for judging whether those promises create evidence, accountability, and meaningful limits.
Literasi AI
When AI becomes public infrastructure, what should we ask?
AI is moving from chat windows into highways, government offices, military records, and workplaces. A practical framework for judging these systems by their evidence, limits, permissions, and effects on people.
Literasi AI
What should schools teach when AI access rules keep changing?
School bans can limit immediate risks, but they cannot replace judgment. A practical framework for teaching students when to use AI, when to question it, and when to leave it out.
Literasi AI
When should an AI system stop, ask, or hand off?
Reliable AI is not just about producing good answers. It is about recognizing uncertainty, checking evidence, and knowing when a response should not become an action.
Tolok ukur
Before AI takes a task, test the whole chain
A model can answer questions well and still fail at real work. Here is a practical framework for evaluating AI systems across evidence, tools, state, timing, and failure recovery.
Literasi AI
Does local AI make your data safer?
Running an AI model on your own device can reduce exposure to outside services, but it does not automatically make the system private, reliable, or safe. Here is a practical framework for judging the tradeoffs.
Literasi AI
When should you trust an AI agent with real work?
An AI agent is not dependable just because it succeeds once. Here is a practical framework for judging its reliability, permissions, security, and readiness for real-world tasks.
Strategi AlatCara Mengevaluasi Alat AI Sebelum Anda Membayar
Demo dibuat untuk mengesankan, bukan untuk memberi informasi. Proses praktis dan netral vendor untuk menguji alat AI terhadap pekerjaan Anda yang sebenarnya sebelum langganan dimulai.
MendorongAnjuran Itu Berlebihan — Yang Penting adalah Konteks
Ungkapan ajaib dan rumus rahasia tidak tepat sasaran. Kualitas jawaban AI sebagian besar ditentukan oleh informasi yang Anda berikan, bukan mantra yang Anda gunakan.
Literasi AIArti Literasi AI di Tahun 2026 (dan Rencana 30 Hari untuk Mencapainya)
Literasi AI bukanlah coding dan bukan trik cepat — ini adalah penilaian. Definisi empat bagian dan rencana 30 hari realistis yang dibuat berdasarkan sumber daya gratis.
Ekonomi AIBiaya Sebenarnya dari Produk AI "Gratis".
Alat AI gratis benar-benar berguna — dan sebenarnya tidak gratis. Apa yang sebenarnya Anda bayar dalam hal data, ketergantungan, dan biaya peralihan, serta cara menggunakan paket gratis dengan bijak.
Tolok ukurCara Membaca Tolok Ukur AI Tanpa Tertipu
Setiap peluncuran model dilengkapi dengan bagan di mana model baru menang. Apa yang sebenarnya diukur oleh skor benchmark, trik klasik yang harus diperhatikan, dan satu-satunya tolok ukur yang penting.
Esai baru diterbitkan secara berkala — segera periksa kembali, atau mulai dengan panduan di bawah ini.
Fondasinya
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Blog adalah opini dan strategi. Panduan ini adalah fondasinya — apa itu AI, cara belajarnya, dan di mana kegagalannya, dijelaskan untuk semua orang.
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